· 7 years ago · Jan 10, 2019, 08:06 PM
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23# Dump of table articles
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28CREATE TABLE `articles` (
29 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
30 `pubmed` double DEFAULT NULL COMMENT 'PubMed',
31 `doi` varchar(50) DEFAULT NULL COMMENT 'DOI',
32 `title` varchar(2000) DEFAULT NULL COMMENT 'Title',
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36 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT 'Date Updated',
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39 KEY `username` (`username`),
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41 CONSTRAINT `articles_ibfk_1` FOREIGN KEY (`username`) REFERENCES `users` (`username`) ON UPDATE CASCADE
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48VALUES
49 (1,24311626,'10.1177/0748233713511512','Dose-dependent genotoxicity of copper oxide nanoparticles stimulated by reactive oxygen species in human lung epithelial cells','Toxicology Industrial Health','2016','Copper oxide nanoparticles (CuO NPs) are of great interest in nanoscience and nanotechnology because of their broad industrial and commercial applications. Therefore, toxicity of CuO NPs needs to be thoroughly understood. The aim of this study was to investigate the cytotoxicity, genotoxicity, and oxidative stress induced by CuO NPs in human lung epithelial (A549) cells. CuO NPs were synthesized by solvothermal method and the size of NPs measured under transmission electron microscopy (TEM) was found to be around 23 nm. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide (MTT) and lactate dehydrogenase (LDH) assays showed that CuO NPs (5-15 µg/ml) exert cytotoxicity in A549 cells in a dose-dependent manner. Comet assay suggested concentration-dependent induction of DNA damage due to the exposure to CuO NPs. The comet tail moment was 27% at 15 µg/ml of CuO NPs, whereas it was 5% in control (p < 0.05). The flow cytometry data revealed that CuO NPs induced micronuclei (MN) in A549 cells dose dependently. The frequency of MN was 25/10(3) cells at 15 µg/ml of CuO NPs, whereas it was 2/10(3) cells for control. CuO NPs were also found to induce oxidative stress in a concentration-dependent manner, which was indicated by induction of reactive oxygen species (ROS) and lipid peroxidation along with glutathione depletion. Moreover, MN induction and DNA damage were significantly correlated with ROS (R(2) = 0.937 for ROS vs. olive tail moment, and R(2) = 0.944 for ROS vs. MN). Taken together, this study suggested that CuO NPs induce genotoxicity in A549 cells, which is likely to be mediated through ROS generation and oxidative stress.','2018-07-30 16:52:27','admin'),
50 (2,27609141,'10.1186/s12989-016-0160-6','Copper oxide nanoparticle toxicity profiling using untargeted metabolomics','Particle and Fibre Toxicology','2015','BACKGROUND:\nThe rapidly increasing number of engineered nanoparticles (NPs), and products containing NPs, raises concerns for human exposure and safety. With this increasing, and ever changing, catalogue of NPs it is becoming more difficult to adequately assess the toxic potential of new materials in a timely fashion. It is therefore important to develop methods which can provide high-throughput screening of biological responses. The use of omics technologies, including metabolomics, can play a vital role in this process by providing relatively fast, comprehensive, and cost-effective assessment of cellular responses. These techniques thus provide the opportunity to identify specific toxicity pathways and to generate hypotheses on how to reduce or abolish toxicity.\n\nRESULTS:\nWe have used untargeted metabolome analysis to determine differentially expressed metabolites in human lung epithelial cells (A549) exposed to copper oxide nanoparticles (CuO NPs). Toxicity hypotheses were then generated based on the affected pathways, and critically tested using more conventional biochemical and cellular assays. CuO NPs induced regulation of metabolites involved in oxidative stress, hypertonic stress, and apoptosis. The involvement of oxidative stress was clarified more easily than apoptosis, which involved control experiments to confirm specific metabolites that could be used as standard markers for apoptosis; based on this we tentatively propose methylnicotinamide as a generic metabolic marker for apoptosis.\n\nCONCLUSIONS:\nOur findings are well aligned with the current literature on CuO NP toxicity. We thus believe that untargeted metabolomics profiling is a suitable tool for NP toxicity screening and hypothesis generation.','2018-07-30 16:52:32','admin'),
51 (3,24120544,'10.1016/j.cbi.2013.09.020','Cytotoxicity in the age of nano: the role of fourth period transition metal oxide nanoparticle physicochemical properties','Chemico-Biological Interactions','2013','A clear understanding of physicochemical factors governing nanoparticle toxicity is still in its infancy. We used a systematic approach to delineate physicochemical properties of nanoparticles that govern cytotoxicity. The cytotoxicity of fourth period metal oxide nanoparticles (NPs): TiO2, Cr2O3, Mn2O3, Fe2O3, NiO, CuO, and ZnO increases with the atomic number of the transition metal oxide. This trend was not cell-type specific, as observed in non-transformed human lung cells (BEAS-2B) and human bronchoalveolar carcinoma-derived cells (A549). Addition of NPs to the cell culture medium did not significantly alter pH. Physiochemical properties were assessed to discover the determinants of cytotoxicity: (1) point-of-zero charge (PZC) (i.e., isoelectric point) described the surface charge of NPs in cytosolic and lysosomal compartments; (2) relative number of available binding sites on the NP surface quantified by X-ray photoelectron spectroscopy was used to estimate the probability of biomolecular interactions on the particle surface; (3) band-gap energy measurements to predict electron abstraction from NPs which might lead to oxidative stress and subsequent cell death; and (4) ion dissolution. Our results indicate that cytotoxicity is a function of particle surface charge, the relative number of available surface binding sites, and metal ion dissolution from NPs. These findings provide a physicochemical basis for both risk assessment and the design of safer nanomaterials.','2018-07-20 19:56:14','admin'),
52 (4,21117831,'10.3109/17435390.2010.536268','Effect of sonication and serum proteins on copper release from copper nanoparticles and the toxicity towards lung epithelial cells','Nanotoxicology','2011','Different methodological settings can influence particle characteristics and toxicity in nanotoxicology. The aim of this study was to investigate how serum proteins and sonication of Cu nanoparticle suspensions influence the properties of the nanoparticles and toxicological responses on human lung epithelial cells. This was investigated by using methods for particle characterization (photon correlation spectroscopy and TEM) and Cu release (atomic absorption spectroscopy) in combination with assays for analyzing cell toxicity (MTT-, trypan blue- and Comet assay). The results showed that sonication of Cu nanoparticles caused decreased cell viability and increased Cu release compared to non-sonicated particles. Furthermore, serum in the cell medium resulted in less particle agglomeration and increased Cu release compared with medium without serum, but no clear difference in toxicity was detected. Few cells showed intracellular Cu nanoparticles due to fast release/dissolution processes of Cu. In conclusion; sonication can affect the toxicity of nanoparticles.','2018-07-20 19:51:35','admin'),
53 (5,22889118,'10.1089/jamp.2012.0972','Cellular Dose of Partly Soluble Cu Particle Aerosols at the Air?Liquid Interface Using an In Vitro Lung Cell Exposure System','Journal of Aerosol Medicine and Pulmonary Drug Delivery','2012','BACKGROUND:\nThere is currently a need to develop and test in vitro systems for predicting the toxicity of nanoparticles. One challenge is to determine the actual cellular dose of nanoparticles after exposure.\n\nMETHODS:\nIn this study, human epithelial lung cells (A549) were exposed to airborne Cu particles at the air-liquid interface (ALI). The cellular dose was determined for two different particle sizes at different deposition conditions, including constant and pulsed Cu aerosol flow.\n\nRESULTS:\nAirborne polydisperse particles with a geometric mean diameter (GMD) of 180 nm [geometric standard deviation (GSD) 1.5, concentration 10(5) particles/mL] deposited at the ALI yielded a cellular dose of 0.4-2.6??g/cm(2) at pulsed flow and 1.6-7.6??g/cm(2) at constant flow. Smaller polydisperse particles in the nanoregime (GMD 80 nm, GSD 1.5, concentration 10(7) particles/mL) resulted in a lower cellular dose of 0.01-0.05 ?g/cm(2) at pulsed flow, whereas no deposition was observed at constant flow. Exposure experiments with and without cells showed that the Cu particles were partly dissolved upon deposition on cells and in contact with medium.\n\nCONCLUSIONS:\nDifferent cellular doses were obtained for the different Cu particle sizes (generated with different methods). Furthermore, the cellular doses were affected by the flow conditions in the cell exposure system and the solubility of Cu. The cellular doses of Cu presented here are the amount of Cu that remained on the cells after completion of an experiment. As Cu particles were partly dissolved, Cu (a nonnegligible contribution) was, in addition, present and analyzed in the nourishing medium present beneath the cells. This study presents cellular doses induced by Cu particles and demonstrates difficulties with deposition of nanoparticles at the ALI and of partially soluble particles.','2018-07-20 19:53:45','admin'),
54 (6,28339192,'10.1021/acs.est.7b00493','A Novel Exposure System Termed NAVETTA for In Vitro Laminar Flow Electrodeposition of Nanoaerosol and Evaluation of Immune Effects in Human Lung Reporter Cells','Environmental Science & Technology','2017','A new prototype air-liquid interface (ALI) exposure system, a flatbed aerosol exposure chamber termed NAVETTA, was developed to investigate deposition of engineered nanoparticles (NPs) on cultured human lung A549 cells directly from the gas phase. This device mimics human lung cell exposure to NPs due to a low horizontal gas flow combined with cells exposed at the ALI. Electrostatic field assistance is applied to improve NP deposition efficiency. As proof-of-principle, cell viability and immune responses after short-term exposure to nanocopper oxide (CuO)-aerosol were determined. We found that, due to the laminar aerosol flow and a specific orientation of inverted transwells, much higher deposition rates were obtained compared to the normal ALI setup. Cellular responses were monitored with postexposure incubation in submerged conditions, revealing CuO dissolution in a concentration-dependent manner. Cytotoxicity was the result of ionic and nonionic Cu fractions. Using the optimized inverted ALI/postincubation procedure, pro-inflammatory immune responses, in terms of interleukin (IL)-8 promoter and nuclear factor kappa B (NF?B) activity, were observed within short time, i.e. One hour exposure to ALI-deposited CuO-NPs and 2.5 h postincubation. NAVETTA is a novel option for mimicking human lung cell exposure to NPs, complementing existing ALI systems.','2018-07-20 19:59:22','admin'),
55 (7,22077320,'10.1021/nn202966t','Molecular Responses of Human Lung Epithelial Cells to the Toxicity of Copper Oxide Nanoparticles Inferred from Whole Genome Expression Analysis','ACS Nano','2011','This study proposes a molecular mechanism for lung epithelial A549 cell response to copper oxide nanoparticles (CuO-NPs) related to Cu ions released from CuO-NPs. Cells that survived exposure to CuO-NPs arrested the cell cycle as a result of the downregulation of proliferating cell nuclear antigen (PCNA), cell division control 2 (CDC2), cyclin B1 (CCNB1), target protein for Xklp2 (TPX2), and aurora kinase A (AURKA) and B (AURKB). Furthermore, cell death was avoided through the induced expression of nuclear receptors NR4A1 and NR4A3 and growth arrest and DNA damage-inducible 45 ? and ? (GADD45B and GADD45G, respectively). The downregulation of CDC2, CCNB1, TPX2, AURKA, and AURKB, the expressions of which are involved in cell cycle arrest, was attributed to Cu ions released from CuO-NPs into medium. NR4A1 and NR4A3 expression was also induced by Cu ions released into the medium. The expression of GADD45B and GADD45G activated the p38 pathway that was involved in escape from cell death. The upregulation of GADD45B and GADD45G was not observed with Cu ions released into medium but was observed in cells exposed to CuO-NPs. However, because the expression of the genes was also induced by Cu ion concentrations higher than that released from CuO-NPs into the medium, the expression appeared to be triggered by Cu ions released from CuO-NPs taken up into cells. We infer that, for cells exposed to CuO-NPs, those able to make such a molecular response survived and those unable to do so eventually died.','2018-07-20 19:52:40','admin'),
56 (8,NULL,'10.1016/j.electacta.2016.07.017','Electrochemical surface oxide characteristics of metal nanoparticles (Mn, Cu and Al) and the relation to toxicity','Electrochimica Acta','2016',NULL,'2018-07-20 12:53:27','admin'),
57 (9,29882686,'10.1080/15376516.2018.1486931','Validation of metallothionein, interleukin-8, and heme oxygenase-1 as markers for evaluation of cytotoxicity caused by metal oxide nanoparticles','Toxicology Mechanisms and Methods','2018','Metal oxide nanoparticles have an industrial value, although their harmful effects are also known. Induction of respiratory inflammation through their inhalation is a serious indicator of their toxicity. Although the phenomenon of metal ion release is involved in the induction of inflammation, all metal ions are not necessarily toxic. However, currently, no particular index to evaluate cytotoxicity caused by nanoparticles exists. An index based on biological response is critical. In the present study, we examined the gene expression-based index for nanoparticles-derived cytotoxicity. The cellular effects of 6 kinds of metal oxide nanoparticles, ZnO, NiO, CuO, MgO, Bi2O3, and MoO3 on A549 cells were examined. It was seen that lactate dehydrogenase (LDH) assay, which is one of the most important assays for assessing cell membrane damage, is inhibited by metal ions released from the metal oxide nanoparticles. In some cases, enzyme activity-based assay was not suitable for the evaluation of cytotoxicity of nanoparticles. ZnO and CuO nanoparticles displayed severe cytotoxicity and enhanced gene expression of heme oxygenase-1 (HO-1) and interleukin-8 (IL-8). The IL-8 gene expression was also increased from Bi2O3 exposure. Additionally, the gene expression of metallothionein 2A (MT2A) was enhanced in the ZnO, CuO, and Bi2O3 exposed cells. These results suggest that these nanoparticles released metal ions in the cells. The enhancement of HO-1, IL-8, and MT2A gene expressions was related to the cytotoxic activity of metal oxide nanoparticles. Thus, the expression level of these genes is a good indicator of nanotoxicology of metal oxide nanoparticles.','2018-07-20 20:00:26','admin'),
58 (10,25961521,'10.2174/1568026615666150506150109','Toxicity of 11 Metal Oxide Nanoparticles to Three Mammalian Cell Types In Vitro','Current Topics in Medicinal Chemistry','2015','The knowledge on potential harmful effects of metallic nanomaterials lags behind their increased use in consumer products and therefore, the safety data on various nanomaterials applicable for risk assessment are urgently needed. In this study, 11 metal oxide nanoparticles (MeOx NPs) prepared using flame pyrolysis method were analyzed for their toxicity against human alveolar epithelial cells A549, human epithelial colorectal cells Caco2 and murine fibroblast cell line Balb/c 3T3. The cell lines were exposed for 24 h to suspensions of 3-100 ?g/mL MeOx NPs and cellular viability was evaluated using. Neutral Red Uptake (NRU) assay. In parallel to NPs, toxicity of soluble salts of respective metals was analyzed, to reveal the possible cellular effects of metal ions shedding from the NPs. The potency of MeOx to produce reactive oxygen species was evaluated in the cell-free assay. The used three cell lines showed comparable toxicity responses to NPs and their metal ion counterparts in the current test setting. Six MeOx NPs (Al2O3, Fe3O4, MgO, SiO2, TiO2, WO3) did not show toxic effects below 100 µg/mL. For five MeOx NPs, the averaged 24 h IC50 values for the three mammalian cell lines were 16.4 µg/mL for CuO, 22.4 µg/mL for ZnO, 57.3 µg/mL for Sb2O3, 132.3 µg/mL for Mn3O4 and 129 µg/mL for Co3O4. Comparison of the dissolution level of MeOx and the toxicity of soluble salts allowed to conclude that the toxicity of CuO, ZnO and Sb2O3 NPs was driven by release of metal ions. The toxic effects of Mn3O4 and Co3O4 could be attributed to the ROS-inducing ability of these NPs. All the NPs were internalized by the cells according to light microscopy studies but also proven by TEM, and internalization of Co3O4 NPs seemed to be most prominent in this aspect. In conclusion, this work provides valuable toxicological data for a library of 11 MeOx NPs. Combining the knowledge on toxic or non-toxic nature of nanomaterials may be used for safe-by-design approach.','2018-07-20 19:57:11','admin'),
59 (11,29403385,'10.3389/fphar.2018.00015','Differential Contribution of Constituent Metal Ions to the Cytotoxic Effects of Fast-Dissolving Metal-Oxide Nanoparticles','Frontiers in Pharmacology','2018','The main mechanism of toxicity for fast-dissolving nanoparticles (NPs) is relatively simple as it originates from the intrinsic toxicity of their constituent elements rather than complicated surface reactivity. However, there is little information about the compared toxicity of fast-dissolving NP and its constituent ion, which is essential for understanding the mechanism of NP toxicity and the development of a structure-toxicity relationship (STR) model. Herein, we selected three types of fast-dissolving metal-oxide NPs (CoO, CuO, and ZnO) and constituent metal chlorides (CoCl2, CuCl2, and ZnCl2) to compare dose-response curves between NP and its constituent metal. These materials were treated relevant cell lines for inhalation setting (i.e., differentiated THP-1 cells for macrophages and A549 cells for alveolar epithelial cells) and cytotoxicity as an endpoint was evaluated at 24 h post-incubation. The results showed that CoO and CuO NPs in both cell types showed similar patterns of dose-response curves and cytotoxic potential compared to that of their respective metal chloride. On the other hand, ZnO NPs in both cell types showed a completely different dose-response curve compared to that of ZnCl2: ZnO NPs showed modest slope and much less potential for cytotoxicity compared to that of ZnCl2. These results imply that fast-dissolving metal-oxide NPs are not always have similar dose-response curves and toxic potentials compared to their constituent metal chlorides and this may be due to the differential mechanism of intracellular uptake of these substances and their interaction with intracellular detoxification molecules. Further investigations are needed for the use of toxic potential of metal ions as a predicting factors of fast-dissolving NPs toxicity. In addition, chelating agent specific for dissolved metal ions can be applied for the treatment of these fast-dissolving NPs.','2018-07-20 20:00:09','admin'),
60 (12,29116558,'10.1007/s10529-017-2463-6','Copper oxide nanoparticles induce anticancer activity in A549 lung cancer cells by inhibition of histone deacetylase','Biotechnology Letters','2018','OBJECTIVES:\nCopper oxide nanoparticles (CuO NPs) promoting anticancer activity may be due to the regulation of various classes of histone deacetylases (HDACs).\n\nRESULTS:\nGreen-synthesized CuO NPs significantly arrested total HDAC level and also suppressed class I, II and IV HDACs mRNA expression in A549 cells. A549 cells treated with CuO NPs downregulated oncogenes and upregulated tumor suppressor protein expression. CuO NPs positively regulated both mitochondrial and death receptor-mediated apoptosis caspase cascade pathway in A549 cells.\n\nCONCLUSION:\nGreen-synthesized CuO NPs inhibited HDAC and therefore shown apoptosis mediated anticancer activity in A549 lung cancer cell line.','2018-07-20 19:59:53','admin'),
61 (13,18710264,'10.1021/tx800064j','Copper oxide nanoparticles are highly toxic: A comparison between metal oxide nanoparticles and carbon nanotubes','Chemical Research in Toxicology','2008','Since the manufacture and use of nanoparticles are increasing, humans are more likely to be exposed occupationally or via consumer products and the environment. However, so far toxicity data for most manufactured nanoparticles are limited. The aim of this study was to investigate and compare different nanoparticles and nanotubes regarding cytotoxicity and ability to cause DNA damage and oxidative stress. The study was focused on different metal oxide particles (CuO, TiO2, ZnO, CuZnFe2O4, Fe3O4, Fe2O3), and the toxicity was compared to that of carbon nanoparticles and multiwalled carbon nanotubes (MWCNT). The human lung epithelial cell line A549 was exposed to the particles, and cytotoxicity was analyzed using trypan blue staining. DNA damage and oxidative lesions were determined using the comet assay, and intracellular production of reactive oxygen species (ROS) was measured using the oxidation-sensitive fluoroprobe 2\',7\'-dichlorofluorescin diacetate (DCFH-DA). The results showed that there was a high variation among different nanoparticles concerning their ability to cause toxic effects. CuO nanoparticles were most potent regarding cytotoxicity and DNA damage. The toxicity was likely not explained by Cu ions released to the cell medium. These particles also caused oxidative lesions and were the only particles that induced an almost significant increase (p = 0.058) in intracellular ROS. ZnO showed effects on cell viability as well as DNA damage, whereas the TiO2 particles (a mix of rutile and anatase) only caused DNA damage. For iron oxide particles (Fe3O4, Fe2O3), no or low toxicity was observed, but CuZnFe2O4 particles were rather potent in inducing DNA lesions. Finally, the carbon nanotubes showed cytotoxic effects and caused DNA damage in the lowest dose tested. The effects were not explained by soluble metal impurities. In conclusion, this study highlights the in vitro toxicity of CuO nanoparticles.\n','2018-07-20 19:50:00','admin'),
62 (14,23891735,'10.1016/j.tox.2013.07.012','Cell membrane damage and protein interaction induced by copper containing nanoparticles - Importance of the metal release process','Toxicology','2013','Cu-containing nanoparticles are used in various applications in order to e.g. achieve antimicrobial activities and to increase the conductivity of fluids and polymers. Several studies have reported on toxic effects of such particles but the mechanisms are not completely clear. The aim of this study was to investigate the interactions between cell membranes and well-characterized nanoparticles of CuO, Cu metal, a binary Cu-Zn alloy and micron-sized Cu metal particles. This was conducted via in vitro investigations of the effects of the nanoparticles on (i) cell membrane damage on lung epithelial cells (A549), (ii) membrane rupture of red blood cells (hemolysis), complemented by (iii) nanoparticle interaction studies with a model lipid membrane using quartz crystal microbalance with dissipation monitoring (QCM-D). The results revealed that nanoparticles of the Cu metal and the Cu-Zn alloy were both highly membrane damaging and caused a rapid (within 1h) increase in membrane damage at a particle mass dose of 20 ?g/mL, whereas the CuO nanoparticles and the micron-sized Cu metal particles showed no such effect. At similar nanoparticle surface area doses, the nano and micron-sized Cu particles showed more similar effects. The commonly used LDH (lactate dehydrogenase) assay for analysis of membrane damage was found impossible to use due to nanoparticle-assay interactions. None of the particles induced any hemolytic effects on red blood cells when investigated up to high particle concentrations (1mg/mL). However, both Cu and Cu-Zn nanoparticles caused hemoglobin aggregation/precipitation, a process that would conceal a possible hemolytic effect. Studies on interactions between the nanoparticles and a model membrane using QCM-D indicated a small difference between the investigated particles. Results of this study suggest that the observed membrane damage is caused by the metal release process at the cell membrane surface and highlight differences in reactivity between metallic nanoparticles of Cu and Cu-Zn and nanoparticles of CuO.','2018-07-20 19:55:31','admin'),
63 (15,22981796,'10.1016/j.tiv.2012.08.030','Validation of an in vitro exposure system for toxicity assessment of air-delivered nanomaterials','Toxicology In Vitro','2013','To overcome the limitations of in vitro exposure of submerged lung cells to nanoparticles (NPs), we validated an integrated low flow system capable of generating and depositing airborne NPs directly onto cells at an air-liquid interface (ALI). The in vitro exposure system was shown to provide uniform and controlled dosing of particles with 70.3% efficiency to epithelial cells grown on transwells. This system delivered a continuous airborne exposure of NPs to lung cells without loss of cell viability in repeated 4h exposure periods. We sequentially exposed cells to air-delivered copper (Cu) NPs in vitro to compare toxicity results to our prior in vivo inhalation studies. The evaluation of cellular dosimetry indicated that a large amount of Cu was taken up, dissolved and released into the basolateral medium (62% of total mass). Exposure to Cu NPs decreased cell viability to 73% (p<0.01) and significantly (p<0.05) elevated levels of lactate dehydrogenase, intracellular reactive oxygen species and interleukin-8 that mirrored our findings from subacute in vivo inhalation studies in mice. Our results show that this exposure system is useful for screening of NP toxicity in a manner that represents cellular responses of the pulmonary epithelium in vivo.','2018-07-20 19:54:36','admin'),
64 (16,28715175,'10.1021/acs.est.7b02390','Airborne Nanoparticle Release and Toxicological Risk from Metal-Oxide-Coated Textiles: Toward a Multiscale Safe-by-Design Approach','Environmental Science & Technology','2017','Nano metal oxides have been proposed as alternatives to silver (Ag) nanoparticles (NPs) for antibacterial coatings. Here, cotton and polyester-cotton fabrics were sonochemically coated with zinc oxide (ZnO) and copper oxide (CuO) NPs. By varying the reaction solvent (water or ethanol), NPs with different sizes and shapes were synthesized. The cytotoxic and pro-inflammatory effects of studied NPs were investigated in vitro in human alveolar epithelial A549 and macrophage-like THP1 cells. To understand the potential respiratory impact of the NPs, the coated textiles were subjected to the abrasion tests, and the released airborne particles were measured. A very small amount of the studied metal oxides NPs was released from abrasion of the textiles coated by the ethanol-based sonochemical process. The release from the water-based coating was comparably higher. Lung and immune cells viability decreased after 24 h of exposure only at the highest studied NPs concentration (100 ?g/mL). Different from the ZnO NPs, both formulations of CuO NPs induced IL-8 release in the lung epithelial cells already at subtoxic concentrations (1-10 ?g/mL) but not in immune cells. All of the studied NPs did not induce IL-6 release by the lung and immune cells. Calculations revealed that the exposures of the NPs to human lung due to the abrasion of the textiles were lower or comparable to the minimum doses in the cell viability tests (0.1 ?g/mL), at which acute cytotoxicity was not observed. The results alleviate the concerns regarding the potential risk of these metal oxide NPs in their applications for the textile coating and provide insight for the safe-by-design approach.','2018-07-20 19:59:09','admin'),
65 (17,22837153,'10.1002/smll.201200478','Effect of Carbon Coating on the Physico-chemical Properties and Toxicity of Copper and Nickel Nanoparticles','Small','2012','The primary aim of these interdisciplinary studies is to investigate the effect of surface carbon coating on the physico-chemical properties and toxicity of carbon-coated and noncoated copper and nickel nanoparticles (C-Cu, Cu, C-Ni, Ni NPs) in A549 alveolar epithelial cells. Compared to Cu NPs, C-Cu NPs exhibit protection against surface oxidation, tenfold higher cellular uptake, and fourfold lower release of soluble Cu. The toxicity of C-Cu NPs and Cu NPs is associated with pronounced damage to mitochondrial function and plasma membrane integrity, respectively. Compared to Cu and C-Cu NPs, Ni and C-Ni NPs are less toxic. These studies demonstrate that correlations can be drawn between physico-chemical properties and resultant toxicity of NPs as a function of surface carbon coating.','2018-07-20 19:53:11','admin'),
66 (19,23906720,'10.1016/j.toxlet.2013.07.019','The modality of cell-particle interactions drives the toxicity of nanosized CuO and TiO2 in human alveolar epithelial cells','Toxicology Letters','2013','Metal oxide NPs are abundantly produced in nanotech industries and are emitted in several combustion processes, suggesting the need to characterize their toxic impact on the human respiratory system. The acute toxicity and the morphological changes induced by copper oxide and titanium dioxide NPs (nCuO and nTiO?) on the human alveolar cell line A549 are here investigated. Cell viability and oxidative stress have been studied in parallel with NP internalization and cell ultrastructural modifications. TiO? NPs were abundantly internalized by cells through the endocytic pathway, even they did not induce cell death and ultrastructural lesions. Only after 24h cells were affected by an abundant NP internalization presenting a consequent altered morphology. High cytotoxicity, oxidative stress and severe ultrastructural damages were produced by nCuO, since cell membrane and mitochondria resulted to be heavily affected, even at early exposure time. nCuO-induced toxicity has been interpreted as a consequence of both NPs reactivity and copper ions dissolution in lysosomal compartments, even the free NPs, scattered throughout all the cell compartments, might contribute to the toxicity. The antioxidant N-acetylcysteine was effective in recovering nCuO exposed cells viability and Bafilomycin A1 inhibited copper ions release in phagolysosomes and significantly rescued cells, suggesting a relevant cytotoxic mechanism relative to oxidative damages and authophagic cell death, together with NP internalization and dissolution. Our results support the previous data reporting CuO NPs are highly cytotoxic and genotoxic, and associate their toxic effects with their cell penetration and interaction with various compartments. In conclusion, the so-called \"Trojan horse\" mechanism and autophagy, are involved in nCuO-induced cell death, even a further research is needed to explain the events occurring at early exposure time.','2018-07-20 19:55:57','admin'),
67 (20,28292015,'10.1016/j.biopha.2017.02.101','Evaluation of antioxidant and anticancer activity of copper oxide nanoparticles synthesized using medicinally important plant extracts','Biomedicine & Pharmacotherapy','2017','Copper oxide (CuO) nanoparticles were synthesized by green chemistry approach using different plant extracts obtained from the leaves of Azadirachta indica, Hibiscus rosa-sinensis, Murraya koenigii, Moringa oleifera and Tamarindus indica. In order to compare their efficiency, the same copper oxide nanoparticles was also synthesized by chemical method. Phytochemical screening of the leaf extracts showed the presence of carbohydrates, flavonoids, glycosides, phenolic compounds, saponins, tannins, proteins and amino acids. FT IR spectra confirmed the possible biomolecules responsible for the formation of copper oxide nanoparticles. The surface plasmon resonance absorption band at 220-235nm in the UV-vis spectra also supports the formation of copper oxide nanoparticles. XRD patterns revealed the monoclinic phase of the synthesized copper oxide nanoparticles. The average size, shape and the crystalline nature of the nanoparticles were determined by SEM, TEM and SAED analysis. EDX analysis confirmed the presence of elements in the synthesized nanoparticles. The antioxidant activity was evaluated by three different free radical scavenging assays. The cytotoxicity of copper oxide nanoparticles was evaluated against four cancer cell lines such as human breast (MCF-7), cervical (HeLa), epithelioma (Hep-2) and lung (A549), and one normal human dermal fibroblast (NHDF) cell line. The morphological changes were evaluated using Hoechst 33258 staining assay. Copper oxide nanoparticles synthesized by green method exhibited high antioxidant and cytotoxicity than that synthesized by chemical method.','2018-07-20 19:58:19','admin'),
68 (21,24520990,'10.1186/1743-8977-11-10','Cytotoxicity and genotoxicity of nano - and microparticulate copper oxide: role of solubility and intracellular bioavailability','Particle and Fibre Toxicology','2014','BACKGROUND:\nNano- or microscale copper oxide particles (CuO NP, CuO MP) are increasingly applied as catalysts or antimicrobial additives. This increases the risk of adverse health effects, since copper ions are cytotoxic under overload conditions.\n\nMETHODS:\nThe extra- and intracellular bioavailability of CuO NP and CuO MP were explored. In addition, different endpoints related to cytotoxicity as well as direct and indirect genotoxicity of the copper oxides and copper chloride (CuCl2) were compared.\n\nRESULTS:\nComprehensively characterized CuO NP and CuO MP were analysed regarding their copper ion release in model fluids. In all media investigated, CuO NP released far more copper ions than CuO MP, with most pronounced dissolution in artificial lysosomal fluid. CuO NP and CuCl2 caused a pronounced and dose dependent decrease of colony forming ability (CFA) in A549 and HeLa S3 cells, whereas CuO MP exerted no cytotoxicity at concentrations up to 50 ?g/mL. Cell death induced by CuO NP was at least in part due to apoptosis, as determined by subdiploid DNA as well as via translocation of the apoptosis inducing factor (AIF) into the cell nucleus. Similarly, only CuO NP induced significant amounts of DNA strand breaks in HeLa S3 cells, whereas all three compounds elevated the level of H2O2-induced DNA strand breaks. Finally, all copper compounds diminished the H2O2-induced poly(ADP-ribosyl)ation, catalysed predominantly by poly(ADP-ribose)polymerase-1 (PARP-1); here, again, CuO NP exerted the strongest effect. Copper derived from CuO NP, CuO MP and CuCl2 accumulated in the soluble cytoplasmic and nuclear fractions of A549 cells, yielding similar concentrations in the cytoplasm but highest concentrations in the nucleus in case of CuO NP.\n\nCONCLUSIONS:\nThe results support the high cytotoxicity of CuO NP and CuCl2 and the missing cytotoxicity of CuO MP under the conditions applied. For these differences in cytotoxicity, extracellular copper ion levels due to dissolution of particles as well as differences in physicochemical properties of the particles like surface area may be of major relevance. Regarding direct and indirect genotoxicity, especially the high copper content in the cell nucleus derived after cell treatment with CuO NP appears to be decisive.','2018-07-20 19:56:56','admin'),
69 (22,28327771,'10.1039/c6nr09102d','The roles of surface chemistry, dissolution rate, and delivered dose in the cytotoxicity of copper nanoparticles','Nanoscale','2017','The understanding of nanoparticle (NP) cytotoxicity is challenging because of incomplete information about physicochemical changes particles undergo once they come into contact with biological fluids. It is therefore essential to characterize changes in NP properties to better understand their biological fate and effects in mammalian cells. In this paper, we present a study on the effect of particle surface oxidation and dissolution rates of Cu NPs. Particle dissolution, cell-associated Cu doses, and oxidative stress responses in A549 luciferase reporter cells were examined for Cu NPs modified with mercaptocarboxylic acids with different carbon chain lengths and a thiotic acid appended-PEG ligand (TA). We found that these Cu NPs released ionic species together with small particles upon oxidation and that surface chemistry influenced the morphology and dissolution rate. The dissolution rate was also shown to impact both the cellular Cu dosimetry and associated oxidative stress responses. The convergent results from dissolution and dosimetry measurements demonstrate that both intracellular and extracellular (i.e., NP uptake-independent) release of ionic species from Cu NPs greatly affect the cytotoxicity.','2018-07-20 19:58:43','admin'),
70 (23,23669118,'10.1016/j.cbi.2013.05.001','Use of the Cultex® Radial Flow System as an in vitro exposure method to assess acute pulmonary toxicity of fine dusts and nanoparticles with special focus on the intra- and inter-laboratory reproducib','Chemico-Biological Interactions','2013','Exposure of the respiratory tract to airborne particles (including metal-dusts and nano-particles) is considered as a serious health hazard. For a wide range of substances basic knowledge about the toxic properties and the underlying pathomechanisms is lacking or even completely missing. Legislation demands the toxicological characterization of all chemicals placed on the market until 2018 (REACH). As toxicological in vivo data are rare with regard to acute lung toxicity or exhibit distinct limitations (e.g. inter-species differences) and legislation claims the reduction of animal experiments in general (\"3R\" principle), profound in vitro models have to be established and characterized to meet these requirements. In this paper we characterize a recently introduced advanced in vitro exposure system (Cultex® RFS) showing a great similarity to the physiological in vivo exposure situation for the assessment of acute pulmonary toxicity of airborne materials. Using the Cultex® RFS, human lung epithelial cells (A549 cells) were exposed to different concentrations of airborne metal dusts (nano- and microscale particles) at the air-liquid-interface (ALI). Cell viability (WST-1 assay) as a parameter of toxicity was assessed 24h after exposure with special focus on the intra- and inter-laboratory (three independent laboratories) reproducibility. Our results show the general applicability of the Cultex® RFS with regard to the requirements of the ECVAM (European Centre for the Validation of Alternative Methods) principles on test validity underlining its robustness and stability. Intra- and inter-laboratory reproducibility can be considered as sufficient if predefined quality criteria are respected. Special attention must be paid to the pure air controls that turned out to be a critical parameter for a rational interpretation of the results. Our results are encouraging and future work is planned to improve the inter-laboratory reproducibility, to consolidate the results so far and to develop a valid prediction model.','2018-07-20 19:55:01','admin'),
71 (24,28764715,'10.1186/s12989-017-0209-1','Comparison between micro- and nanosized copper oxide and water soluble copper chloride: interrelationship between intracellular copper concentrations, oxidative stress and DNA damage response in human','Particle and Fibre Toxicology','2017','BACKGROUND:\nNano- and microscale copper oxide particles (CuO NP, CuO MP) are applied for manifold purposes, enhancing exposure and thus the potential risk of adverse health effects. Based on the pronounced in vitro cytotoxicity of CuO NP, systematic investigations on the mode of action are required. Therefore, the impact of CuO NP, CuO MP and CuCl2 on the DNA damage response on transcriptional level was investigated by quantitative gene expression profiling via high-throughput RT-qPCR. Cytotoxicity, copper uptake and the impact on the oxidative stress response, cell cycle regulation and apoptosis were further analysed on the functional level.\n\nRESULTS:\nCytotoxicity of CuO NP was more pronounced when compared to CuO MP and CuCl2 in human bronchial epithelial BEAS-2B cells. Uptake studies revealed an intracellular copper overload in the soluble fractions of both cytoplasm and nucleus, reaching up to millimolar concentrations in case of CuO NP and considerably lower levels in case of CuO MP and CuCl2. Moreover, CuCl2 caused copper accumulation in the nucleus only at cytotoxic concentrations. Gene expression analysis in BEAS-2B and A549 cells revealed a strong induction of uptake-related metallothionein genes, oxidative stress-sensitive and pro-inflammatory genes, anti-oxidative defense-associated genes as well as those coding for the cell cycle inhibitor p21 and the pro-apoptotic Noxa and DR5. While DNA damage inducible genes were activated, genes coding for distinct DNA repair factors were down-regulated. Modulation of gene expression was most pronounced in case of CuO NP as compared to CuO MP and CuCl2 and more distinct in BEAS-2B cells. GSH depletion and activation of Nrf2 in HeLa S3 cells confirmed oxidative stress induction, mainly restricted to CuO NP. Also, cell cycle arrest and apoptosis induction were most distinct for CuO NP.\n\nCONCLUSIONS:\nThe high cytotoxicity and marked impact on gene expression by CuO NP can be ascribed to the strong intracellular copper ion release, with subsequent copper accumulation in the cytoplasm and the nucleus. Modulation of gene expression by CuO NP appeared to be primarily oxidative stress-related and was more pronounced in redox-sensitive BEAS-2B cells. Regarding CuCl2, relevant modulations of gene expression were restricted to cytotoxic concentrations provoking impaired copper homoeostasis.','2018-07-20 19:59:40','admin'),
72 (25,22916263,'10.1371/journal.pone.0043442','Copper oxide nanoparticles induce autophagic cell death in A549 cells','PLOS ONE','2012','Metal oxide nanoparticles (NPs) are among the most highly produced nanomaterials, and have many diverse functions in catalysis, environmental remediation, as sensors, and in the production of personal care products. In this study, the toxicity of several widely used metal oxide NPs such as copper oxide, silica, titanium oxide and ferric oxide NPs, were evaluated In vitro. We exposed A549, H1650 and CNE-2Z cell lines to metal oxide NPs, and found CuO NPs to be the most toxic, SiO2 mild toxic, while the other metal oxide NPs had little effect on cell viability. Furthermore, the autophagic biomarker LC3-II significantly increased in A549 cells treated with CuO NPs, and the use of the autophagy inhibitors wortmannin and 3-methyladenin significantly improved cell survival. These results indicate that the cytoxicity of CuO NPs may involve the autophagic pathway in A549 cells.','2018-07-21 04:34:20','admin'),
73 (26,21820027,'10.1016/j.fct.2011.07.055','Oxidative stress induced apoptosis of human lung carcinoma (A549) cells by a novel copper nanorod formulation','Food and Chemical Toxicology','2011','This study elucidates the process of synthesis of copper (Cu) nanorods using almond skin extract as stabilizing cum capping agent. These nanorods were (about 200 nm long and 40 nm wide) characterized by transmission electron microscopy (TEM). Further, cytotoxicity potential of these nanorods was evaluated in A549 cells (Human lung carcinoma cell line) via cell viability assay and extracellular lactate dehydrogenase (LDH) release. Also, reduced glutathione (GSH), lipid peroxidation (LPO), cellular oxidative stress (Rhodamine 123 florescence) and apoptosis (Annexin V FITC/Propidium iodide staining) were also investigated in control and treated cells. Results indicated that Cu nanorods induced apoptotic death of cancer cells by induction of oxidative stress, depletion of cellular antioxidants and mitochondrial dysfunction. This study reports a novel process of synthesis of almond skin extract capped Cu nanorods and its potential as an anticancer agent against A549 lung carcinoma cells.\n','2018-07-20 19:52:14','admin'),
74 (27,27761772,'10.1007/s10616-016-0032-9','Toxicity of antimony, copper, cobalt, manganese, titanium and zinc oxide nanoparticles for the alveolar and intestinal epithelial barrier cells in vitro','Cytotechnology','2016','Heavy metals are found naturally on Earth and exposure to them in the living environment is increasing as a consequence of human activity. The toxicity of six different metal oxide nanoparticles (NP) at different points in time was compared using resazurin assay. After incubating Caco2 and A549 cells with 100 ?g/mL of Sb2O3, Mn3O4 and TiO2 nanoparticles (NPs) for 24 h no toxic effects were observed while Co3O4 and ZnO NPs had moderate effects and CuO NPs were toxic below 100 ?g/mL (24 h EC25 = 11 for A549 and 71 ?g/mL for Caco2). The long-term monitoring (up to 9 days) of cells to NPs revealed that the toxic effects of Mn3O4 and Sb2O3 NPs remarkably increased over time. The 9 day EC50 values for Sb2O3 NPs were 22 and 48 ?g/mL for A549 and Caco2 cells; and for Mn3O4 NPs were 47 and 29 ?g/mL for A549 and Caco2 cells, respectively. In general, the sensitivity of the cell lines in the resazurin assay was comparable. Trans epithelial electrical resistance (TEER) measurements were performed for both cell types exposed to Co3O4, Sb2O3 and CuO NPs. In TEER assay, the Caco2 cells were more susceptible to the toxic effects of these NPs than A549 cells, where the most toxic NPs were the Sb2O3 NPs: the permeability of the Caco2 cell layer exposed to 10 ?g/mL Sb2O3 NPs already increased after 24 h of exposure.','2018-07-20 19:58:03','admin'),
75 (28,22686560,'10.1021/tx3002093','CuO Nanoparticle Interaction with Human Epithelial Cells: Cellular Uptake, Location, Export, and Genotoxicity','Chemical Research in Toxicology','2012','The toxicity of CuO nanoparticles (NPs) to human lung epithelial (A549) cells was investigated in this study. CuO NPs (10-100 mg/L) had significant toxicity to A549 cells, whereas CuO bulk particles (BPs) showed much lower toxicity (24 h IC(50), 58 and 15 mg/L for CuO BPs and NPs, respectively). Transmission electron microscopic analysis demonstrated CuO NP entry into A549 cells and organelles, including lysosomes, mitochondria, and nucleus. Endocytosis was the primary pathway of CuO NPs uptake. CuO NPs (15 mg/L) induced mitochondrial depolarization, possibly mediated by reactive oxygen species (ROS) generation. Intracellular CuO NPs first generate ROS, which subsequently induces the expression of p38 and p53 and ultimately causes DNA damage (Comet assay). We confirm for the first time that the primary cytotoxic response is oxidative stress rather than DNA damage. A fraction of the CuO NPs was exported to the extracellular environment. In this study, centrifugal ultrafiltration tubes were successfully employed to determine the dissolved Cu(2+) from CuO NPs in the cell medium. Dissolved Cu(2+) ions contributed less than half of the total toxicity caused by CuO NPs, including ROS generation and DNA damage. This study provided useful data for understanding transport and toxicity of metal oxide NPs in human cells.\n','2018-07-20 19:52:58','admin'),
76 (29,27347420,'10.1039/C5EN00271K','Size-dependent cytotoxicity of copper oxide nanoparticles in lung epithelial cells','Environmental Science Nano','2016','The increasing use of copper oxide (CuO) nanoparticles (NPs) in medicine and industry demands an understanding of their potential toxicities. In this study, we compared the in vitro cytotoxicity of CuO NPs of two distinct sizes (4 and 24 nm) using the A549 human lung cell line. Despite possessing similar surface and core oxide compositions, 24 nm CuO NPs were significantly more cytotoxic than 4 nm CuO NPs. The difference in size may have affected the rate of entry of NPs into the cell, potentially influencing the amount of intracellular dissolution of Cu2+ and causing a differential impact on cytotoxicity.','2018-07-20 19:57:29','admin'),
77 (30,20688385,'10.1016/j.biomaterials.2010.06.022','Contribution of physicochemical characteristics of nano-oxides to cytotoxicity','Biomaterials','2010','To identify the key physicochemical properties of nano-oxides governing cytotoxicity, we investigate the contribution of the size, shape, morphology, and electronic properties of ten types of insulator (SiO(2), CeO(2) and Al(2)O(3)) and semiconductor (ZnO and CuO) nano-oxides to cytotoxicity using the NIH3T3 and A549 cell lines as models. We find that the shape of the Al(2)O(3) (nanoparticle versus nanowhisker) and the morphology of the SiO(2) (porous versus non-porous nanoparticles) did not have obvious effect on the observed cytotoxicity, and the size of the nano-oxides cannot be regarded as an indicator of cytotoxicity. By contrast, we find that the cell viability exposed to the semiconductor nano-oxides was much lower than that exposed to the insulator nano-oxides. Moreover, the Al-doped ZnO nanoparticle (NP) was more toxic than the non-doped ZnO NP, whereas the Al-doped CuO NP was less toxic than the non-doped CuO NP but more toxic than the Al(2)O(3) NP. Correspondingly, the valence band X-ray photoelectron spectra of the nano-oxides show the density of states of the Al-doped ZnO NP (the Al-doped CuO NP) is higher (lower) than that of the non-doped ZnO NP (the non-doped CuO NP). These results suggest that the electronic properties of nano-oxides may play an important role in the observed cytotoxicity. The results have implications for selectively tailoring the toxic effect and establishing predictive models for the design of various types of nanomaterials with unique properties and for the understanding of interactions between nanomaterials with biological system.','2018-07-20 19:51:29','admin'),
78 (31,NULL,'10.1039/C7TB00344G','Amino acid-modified chitosan nanoparticles for Cu2+ chelation to suppress CuO nanoparticle cytotoxicity','Journal of Materials Chemistry B','2017',NULL,'2018-07-20 12:53:27','admin');
79
80/*!40000 ALTER TABLE `articles` ENABLE KEYS */;
81UNLOCK TABLES;
82
83
84# Dump of table articles_overview
85# ------------------------------------------------------------
86
87DROP VIEW IF EXISTS `articles_overview`;
88
89CREATE TABLE `articles_overview` (
90 `pubmed` DOUBLE NULL DEFAULT NULL,
91 `doi` VARCHAR(50) NULL DEFAULT NULL,
92 `title` VARCHAR(2000) NULL DEFAULT NULL,
93 `journal` VARCHAR(200) NULL DEFAULT NULL,
94 `yearp` YEAR(4) NULL DEFAULT NULL,
95 `authorname` VARCHAR(45) NOT NULL DEFAULT '',
96 `country` VARCHAR(40) NULL DEFAULT ''
97) ENGINE=MyISAM;
98
99
100
101# Dump of table assays
102# ------------------------------------------------------------
103
104DROP TABLE IF EXISTS `assays`;
105
106CREATE TABLE `assays` (
107 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
108 `fullname` varchar(500) DEFAULT NULL COMMENT 'Full name of assay',
109 `name` varchar(55) NOT NULL DEFAULT '',
110 `model_id` int(11) unsigned DEFAULT '4',
111 `assaytype_id` int(11) unsigned DEFAULT NULL,
112 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
113 PRIMARY KEY (`id`),
114 KEY `assay_for` (`model_id`),
115 KEY `of_type` (`assaytype_id`),
116 CONSTRAINT `assay_for` FOREIGN KEY (`model_id`) REFERENCES `models` (`id`) ON DELETE NO ACTION ON UPDATE CASCADE,
117 CONSTRAINT `of_type` FOREIGN KEY (`assaytype_id`) REFERENCES `assaytypes` (`id`) ON DELETE NO ACTION ON UPDATE CASCADE
118) ENGINE=MyISAM DEFAULT CHARSET=latin1 COMMENT='General properties of various assays';
119
120LOCK TABLES `assays` WRITE;
121/*!40000 ALTER TABLE `assays` DISABLE KEYS */;
122
123INSERT INTO `assays` (`id`, `fullname`, `name`, `model_id`, `assaytype_id`, `updated`)
124VALUES
125 (3,'3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazoli','MTT',2,1,'2018-07-20 12:53:43'),
126 (4,'lactate dehydrogenase','LDH',2,1,'2018-08-11 12:42:53'),
127 (5,'dichloro-dihydro-fluorescein diacetate','DCFH-DA',2,3,'2018-07-20 12:53:43'),
128 (6,NULL,'Trypan Blue',2,1,'2018-07-20 12:53:43'),
129 (7,'','Alamar Blue',2,1,'2018-07-20 12:53:43'),
130 (8,'','Sulforhodamine B',2,1,'2018-07-20 12:53:43'),
131 (9,NULL,'Annexin V-FITC',2,1,'2018-07-20 12:53:43'),
132 (10,NULL,'7-AAD',2,1,'2018-07-20 12:53:43'),
133 (11,NULL,'WST-8',2,1,'2018-07-20 12:53:43'),
134 (12,NULL,'LIVE/DEAD',2,1,'2018-07-20 12:53:43'),
135 (13,NULL,'WST-1',2,1,'2018-07-20 12:53:43'),
136 (14,'propidium iodide','PI',2,1,'2018-08-10 09:17:27'),
137 (15,NULL,'Neutral red',2,1,'2018-07-20 12:53:43'),
138 (16,NULL,'MTS',2,1,'2018-07-20 12:53:43'),
139 (17,NULL,'Hoechst 33258',2,1,'2018-07-20 12:53:43'),
140 (18,NULL,'Giemsa colony formation',2,1,'2018-07-20 12:53:43'),
141 (19,NULL,'Calcein-AM',2,1,'2018-07-20 12:53:43'),
142 (20,NULL,'micronuclei flow cytometry',2,2,'2018-07-20 12:53:43'),
143 (21,NULL,'Comet assay',2,2,'2018-07-20 12:53:43'),
144 (22,'heme oxygenase-1','HO-1',2,2,'2018-07-20 12:53:43'),
145 (23,NULL,'GPX1',2,2,'2018-07-20 12:53:43'),
146 (24,NULL,'TUNEL',2,2,'2018-07-20 12:53:43'),
147 (25,NULL,'DNA microarray',2,2,'2018-07-20 12:53:43'),
148 (26,'interleukin-8','IL-8',2,3,'2018-07-20 12:53:43'),
149 (27,'metallothionein 1A','MT1A',2,2,'2018-07-20 12:53:43'),
150 (28,'metallothionein 1H','MT1H',2,2,'2018-07-20 12:53:43'),
151 (29,'metallothionein 2A','MT2A',2,2,'2018-07-20 12:53:43'),
152 (30,'metallothionein 3','MT3',2,2,'2018-07-20 12:53:43'),
153 (31,'gene expression of B-actin','B-actin',2,2,'2018-07-20 12:53:43'),
154 (32,NULL,'Alkaline unwinding',2,2,'2018-07-20 12:53:43'),
155 (33,NULL,'micronuclei',2,2,'2018-07-20 12:53:43'),
156 (34,NULL,'RT-qPCR for HMOX1',2,2,'2018-07-20 12:53:43'),
157 (35,NULL,'HSPA1A',2,2,'2018-07-20 12:53:43'),
158 (36,NULL,'MT1X',2,2,'2018-07-20 12:53:43'),
159 (37,'quartz crystal microbalance','QCM',2,4,'2018-08-10 09:20:02'),
160 (38,'atomic absorption spectroscopy','AAS',2,4,'2018-08-10 09:20:19'),
161 (39,NULL,'Atg5 knockdown',2,4,'2018-07-20 12:53:43'),
162 (40,NULL,'BODIPY-C11',2,4,'2018-07-20 12:53:43'),
163 (41,NULL,'Bradford assay',2,4,'2018-07-20 12:53:43'),
164 (42,NULL,'Caspase-3/7 Assay',2,4,'2018-07-20 12:53:43'),
165 (43,NULL,'CTA transformation assay',2,4,'2018-07-20 12:53:43'),
166 (44,NULL,'exocytosis',2,4,'2018-07-20 12:53:43'),
167 (45,NULL,'flow cytometry for cell cycle',2,2,'2018-07-20 12:53:43'),
168 (46,NULL,'GF-AAS',2,4,'2018-07-20 12:53:43'),
169 (47,NULL,'hemolytic assay',2,4,'2018-07-20 12:53:43'),
170 (48,NULL,'Histone deacetylase activity assay',2,4,'2018-07-20 12:53:43'),
171 (49,'inductively coupled plasma mass spectroscopy','ICP-MS',2,4,'2018-08-10 09:19:51'),
172 (50,NULL,'JC-1 mitochondrial membrane potential',2,4,'2018-07-20 12:53:43'),
173 (51,NULL,'LC3-EGFP aggregates',2,4,'2018-07-20 12:53:43'),
174 (52,NULL,'mitotracker red',2,4,'2018-07-20 12:53:43'),
175 (53,NULL,'qPCR p38 & JNK',2,2,'2018-07-20 12:53:43'),
176 (54,NULL,'Rhodamine 123 mitochondrial membrane potential',2,4,'2018-07-20 12:53:43'),
177 (55,NULL,'RT-PCR',2,4,'2018-08-10 09:21:03'),
178 (56,NULL,'siRNA gene knockdown',2,4,'2018-07-20 12:53:43'),
179 (57,NULL,'TBA-TCA-HCL',2,4,'2018-07-20 12:53:43'),
180 (58,NULL,'TBARS',2,4,'2018-07-20 12:53:43'),
181 (59,'transepithelial electrical resistance','TEER',2,4,'2018-08-10 09:18:03'),
182 (60,NULL,'untargeted metabolomics',2,4,'2018-07-20 12:53:43'),
183 (61,NULL,'Western blot',2,4,'2018-07-20 12:53:43'),
184 (62,NULL,'GSH',2,3,'2018-07-20 12:53:43'),
185 (63,'dichloro-dihydro-fluorescein diacetate','DCFH-DA (post-exposure loading)',2,3,'2018-07-20 12:53:43'),
186 (64,NULL,'carboxy-H2DCFDA',2,3,'2018-07-20 12:53:43'),
187 (65,NULL,'DTNB GSH assay',2,3,'2018-07-20 12:53:43'),
188 (66,NULL,'JC-1 mitochondrial damage',2,4,'2018-07-20 12:53:43'),
189 (67,'interleukin-1B','IL-1B',2,3,'2018-08-10 09:19:21'),
190 (68,'interleukin-6','IL-6',2,3,'2018-07-20 12:53:43'),
191 (69,'dihydroethidium','DHE',2,3,'2018-08-10 09:19:09'),
192 (70,'reverse transcription polymerase chain reaction','RT-PCR',2,4,'2018-08-10 09:18:43'),
193 (71,NULL,'MitoSOX',2,3,'2018-07-20 12:53:43'),
194 (72,NULL,'gene expression of B-actin',2,2,'2018-07-20 12:53:43'),
195 (73,NULL,'Annexin V-FITC/PI',2,1,'2018-07-20 12:53:43');
196
197/*!40000 ALTER TABLE `assays` ENABLE KEYS */;
198UNLOCK TABLES;
199
200
201# Dump of table assaytypes
202# ------------------------------------------------------------
203
204DROP TABLE IF EXISTS `assaytypes`;
205
206CREATE TABLE `assaytypes` (
207 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
208 `type` varchar(150) DEFAULT NULL,
209 PRIMARY KEY (`id`)
210) ENGINE=MyISAM DEFAULT CHARSET=latin1;
211
212LOCK TABLES `assaytypes` WRITE;
213/*!40000 ALTER TABLE `assaytypes` DISABLE KEYS */;
214
215INSERT INTO `assaytypes` (`id`, `type`)
216VALUES
217 (1,'Cell Viability'),
218 (2,'Genotoxicity'),
219 (3,'ROS/Inflammatory Response'),
220 (4,'Other');
221
222/*!40000 ALTER TABLE `assaytypes` ENABLE KEYS */;
223UNLOCK TABLES;
224
225
226# Dump of table authors
227# ------------------------------------------------------------
228
229DROP TABLE IF EXISTS `authors`;
230
231CREATE TABLE `authors` (
232 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
233 `authorname` varchar(45) CHARACTER SET latin1 NOT NULL DEFAULT '',
234 `institution` varchar(555) CHARACTER SET latin1 DEFAULT '',
235 `country` varchar(40) CHARACTER SET latin1 DEFAULT '',
236 `department` varchar(45) CHARACTER SET latin1 DEFAULT '',
237 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
238 PRIMARY KEY (`id`)
239) ENGINE=MyISAM DEFAULT CHARSET=ascii;
240
241LOCK TABLES `authors` WRITE;
242/*!40000 ALTER TABLE `authors` DISABLE KEYS */;
243
244INSERT INTO `authors` (`id`, `authorname`, `institution`, `country`, `department`, `updated`)
245VALUES
246 (1,'Ahamed M','King Saud University','Saudi Arabia','','2018-07-20 12:54:12'),
247 (2,'Huber CG','University of Salzburg','Austria','','2018-07-20 12:54:12'),
248 (3,'Huang YW','Middle Tennessee State University','USA','','2018-07-20 12:54:12'),
249 (4,'Moller L','Karolinska Institutet','Sweden','','2018-07-20 12:54:12'),
250 (5,'Himly M','Flemish Institute for Technological Research (VITO NV) ','Belgium','','2018-07-20 12:54:12'),
251 (6,'Xu M','National Institute for Materials Science','Japan','','2018-07-20 12:54:12'),
252 (7,'Hedberg JF','KTH Royal Institute of Technology','Sweden','','2018-07-20 12:54:12'),
253 (8,'Tabei Y','National Institute of Advanced Industrial Science and Technology (AIST)','Japan','','2018-07-20 12:54:12'),
254 (9,'Kahru A','National Institute of Chemical Physics and Biophysics','Estonia','','2018-07-20 12:54:12'),
255 (10,'Cho WS','Dong-A University','South Korea','','2018-07-20 12:54:12'),
256 (11,'Ravikumar V','Bharathidasan University','India','','2018-07-20 12:54:12'),
257 (12,'Wallinder IO','Karolinska Institutet','Sweden','','2018-07-20 12:54:12'),
258 (13,'Thorne PS','University of Iowa','USA','','2018-07-20 12:54:12'),
259 (14,'Wang J','University of Milano-Bicocca','Italy','','2018-07-20 12:54:12'),
260 (15,'Mumper RJ','University of Kentucky','USA','','2018-07-20 12:54:12'),
261 (16,'Mantecca P','Università degli Studi di Milano','Italy','','2018-07-20 12:54:12'),
262 (17,'Rahiman AK','Justice Basheer Ahmed Sayeed College for Women','India','','2018-07-20 12:54:12'),
263 (18,'Hartwig A','Karlsruhe Institute of Technology (KIT)','Germany','','2018-07-20 12:54:12'),
264 (19,'Yang H','University of Rochester','USA','','2018-07-20 12:54:12'),
265 (20,'Aufderheide M','University of Munich','Germany','','2018-07-20 12:54:12'),
266 (22,'Jiang C','Tsinghua University','China','','2018-07-20 12:54:12'),
267 (23,'Thakore S','The Maharaja Sayajirao University of Baroda','India','','2018-07-20 12:54:12'),
268 (24,'Xing B','Ocean University of China','China','','2018-07-20 12:54:12'),
269 (25,'Salem AK','University of Iowa','USA','','2018-07-20 12:54:12'),
270 (26,'Hanagata N','National Institute for Materials Science','Japan','','2018-07-20 12:54:12'),
271 (27,'Gao C','Zhejiang University','China','','2018-07-20 12:54:12');
272
273/*!40000 ALTER TABLE `authors` ENABLE KEYS */;
274UNLOCK TABLES;
275
276
277# Dump of table authorship
278# ------------------------------------------------------------
279
280DROP TABLE IF EXISTS `authorship`;
281
282CREATE TABLE `authorship` (
283 `article_id` int(11) unsigned NOT NULL,
284 `author_id` int(11) unsigned NOT NULL,
285 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
286 KEY `author_of_idx` (`article_id`),
287 KEY `author_id` (`author_id`),
288 CONSTRAINT `authorship_ibfk_5` FOREIGN KEY (`article_id`) REFERENCES `articles` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
289 CONSTRAINT `authorship_ibfk_6` FOREIGN KEY (`author_id`) REFERENCES `authors` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
290) ENGINE=MyISAM DEFAULT CHARSET=latin1;
291
292LOCK TABLES `authorship` WRITE;
293/*!40000 ALTER TABLE `authorship` DISABLE KEYS */;
294
295INSERT INTO `authorship` (`article_id`, `author_id`, `updated`)
296VALUES
297 (1,1,'2018-08-01 13:04:39'),
298 (2,2,'2018-08-01 13:04:39'),
299 (3,3,'2018-08-01 13:04:39'),
300 (4,4,'2018-08-01 13:04:39'),
301 (5,4,'2018-08-01 13:04:39'),
302 (13,4,'2018-08-01 13:04:39'),
303 (6,5,'2018-08-01 13:04:39'),
304 (7,6,'2018-08-01 13:04:39'),
305 (8,7,'2018-08-01 13:04:39'),
306 (9,8,'2018-08-01 13:04:39'),
307 (10,9,'2018-08-01 13:04:39'),
308 (27,9,'2018-08-01 13:04:39'),
309 (11,10,'2018-08-01 13:04:39'),
310 (12,11,'2018-08-01 13:04:39'),
311 (14,12,'2018-08-01 13:04:39'),
312 (15,13,'2018-08-01 13:04:39'),
313 (16,14,'2018-08-01 13:04:39'),
314 (17,15,'2018-08-01 13:04:39'),
315 (19,16,'2018-08-01 13:04:39'),
316 (20,17,'2018-08-01 13:04:39'),
317 (21,18,'2018-08-01 13:04:39'),
318 (22,19,'2018-08-01 13:04:39'),
319 (23,20,'2018-08-01 13:04:39'),
320 (25,22,'2018-08-01 13:04:39'),
321 (26,23,'2018-08-01 13:04:39'),
322 (28,24,'2018-08-01 13:04:39'),
323 (29,25,'2018-08-01 13:04:39'),
324 (30,26,'2018-08-01 13:04:39'),
325 (31,27,'2018-08-01 13:04:39'),
326 (24,18,'2018-08-01 13:04:39');
327
328/*!40000 ALTER TABLE `authorship` ENABLE KEYS */;
329UNLOCK TABLES;
330
331
332# Dump of table experiments
333# ------------------------------------------------------------
334
335DROP TABLE IF EXISTS `experiments`;
336
337CREATE TABLE `experiments` (
338 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
339 `article_id` int(11) unsigned DEFAULT NULL COMMENT 'exposure method',
340 `particle_id` int(11) unsigned DEFAULT NULL,
341 `assay_id` int(11) unsigned DEFAULT NULL COMMENT 'exposure duration',
342 `model_id` int(11) unsigned DEFAULT '2',
343 `subject_id` int(11) unsigned DEFAULT NULL,
344 `notes` blob COMMENT 'observations or notes',
345 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
346 PRIMARY KEY (`id`),
347 KEY `assay_id` (`particle_id`),
348 KEY `article_id` (`article_id`),
349 KEY `particle_id` (`assay_id`)
350) ENGINE=MyISAM DEFAULT CHARSET=latin1;
351
352LOCK TABLES `experiments` WRITE;
353/*!40000 ALTER TABLE `experiments` DISABLE KEYS */;
354
355INSERT INTO `experiments` (`id`, `article_id`, `particle_id`, `assay_id`, `model_id`, `subject_id`, `notes`, `updated`)
356VALUES
357 (1,1,1,3,2,NULL,NULL,'2018-07-20 12:54:30'),
358 (2,1,1,4,2,NULL,NULL,'2018-07-20 12:54:30'),
359 (3,1,1,5,2,NULL,NULL,'2018-07-20 12:54:30'),
360 (4,1,1,62,2,NULL,NULL,'2018-07-20 12:54:30'),
361 (5,1,1,21,2,NULL,NULL,'2018-07-20 12:54:30'),
362 (6,1,1,20,2,NULL,NULL,'2018-07-20 12:54:30'),
363 (7,1,1,58,2,NULL,NULL,'2018-07-20 12:54:30'),
364 (8,1,1,41,2,NULL,NULL,'2018-07-20 12:54:30'),
365 (9,2,2,7,2,NULL,NULL,'2018-07-20 12:54:30'),
366 (10,2,2,4,2,NULL,NULL,'2018-07-20 12:54:30'),
367 (11,2,2,26,2,NULL,NULL,'2018-07-20 12:54:30'),
368 (12,2,2,62,2,NULL,NULL,'2018-07-20 12:54:30'),
369 (13,2,2,22,2,NULL,NULL,'2018-07-20 12:54:30'),
370 (14,2,2,23,2,NULL,NULL,'2018-07-20 12:54:30'),
371 (15,2,2,42,2,NULL,NULL,'2018-07-20 12:54:30'),
372 (16,2,2,60,2,NULL,NULL,'2018-07-20 12:54:30'),
373 (17,3,3,8,2,NULL,NULL,'2018-07-20 12:54:30'),
374 (18,3,4,8,2,NULL,NULL,'2018-07-20 12:54:30'),
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413 (57,8,15,7,2,NULL,NULL,'2018-07-20 12:54:30'),
414 (58,8,16,7,2,NULL,NULL,'2018-07-20 12:54:30'),
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416 (60,9,18,4,2,NULL,NULL,'2018-07-20 12:54:30'),
417 (61,9,19,4,2,NULL,NULL,'2018-07-20 12:54:30'),
418 (62,9,20,4,2,NULL,NULL,'2018-07-20 12:54:30'),
419 (63,9,21,4,2,NULL,NULL,'2018-07-20 12:54:30'),
420 (64,9,22,4,2,NULL,NULL,'2018-07-20 12:54:30'),
421 (65,9,23,4,2,NULL,NULL,'2018-07-20 12:54:30'),
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423 (67,9,19,13,2,NULL,NULL,'2018-07-20 12:54:30'),
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446 (90,9,18,22,2,NULL,NULL,'2018-07-20 12:54:30'),
447 (91,9,19,22,2,NULL,NULL,'2018-07-20 12:54:30'),
448 (92,9,20,22,2,NULL,NULL,'2018-07-20 12:54:30'),
449 (93,9,21,22,2,NULL,NULL,'2018-07-20 12:54:30'),
450 (94,9,22,22,2,NULL,NULL,'2018-07-20 12:54:30'),
451 (95,9,23,22,2,NULL,NULL,'2018-07-20 12:54:30'),
452 (96,9,18,26,2,NULL,NULL,'2018-07-20 12:54:30'),
453 (97,9,19,26,2,NULL,NULL,'2018-07-20 12:54:30'),
454 (98,9,20,26,2,NULL,NULL,'2018-07-20 12:54:30'),
455 (99,9,21,26,2,NULL,NULL,'2018-07-20 12:54:30'),
456 (100,9,22,26,2,NULL,NULL,'2018-07-20 12:54:30'),
457 (101,9,23,26,2,NULL,NULL,'2018-07-20 12:54:30'),
458 (102,9,18,27,2,NULL,NULL,'2018-07-20 12:54:30'),
459 (103,9,19,27,2,NULL,NULL,'2018-07-20 12:54:30'),
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461 (105,9,21,27,2,NULL,NULL,'2018-07-20 12:54:30'),
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467 (111,9,21,28,2,NULL,NULL,'2018-07-20 12:54:30'),
468 (112,9,22,28,2,NULL,NULL,'2018-07-20 12:54:30'),
469 (113,9,23,28,2,NULL,NULL,'2018-07-20 12:54:30'),
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484 (128,10,26,15,2,NULL,NULL,'2018-07-20 12:54:30'),
485 (129,10,27,15,2,NULL,NULL,'2018-07-20 12:54:30'),
486 (130,10,28,15,2,NULL,NULL,'2018-07-20 12:54:30'),
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488 (132,10,30,15,2,NULL,NULL,'2018-07-20 12:54:30'),
489 (133,10,31,15,2,NULL,NULL,'2018-07-20 12:54:30'),
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491 (135,10,33,15,2,NULL,NULL,'2018-07-20 12:54:30'),
492 (136,10,24,5,2,NULL,NULL,'2018-07-20 12:54:30'),
493 (137,10,25,5,2,NULL,NULL,'2018-07-20 12:54:30'),
494 (138,10,26,5,2,NULL,NULL,'2018-07-20 12:54:30'),
495 (139,10,27,5,2,NULL,NULL,'2018-07-20 12:54:30'),
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498 (142,10,30,5,2,NULL,NULL,'2018-07-20 12:54:30'),
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506 (150,11,36,67,2,NULL,NULL,'2018-07-20 12:54:30'),
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510 (154,12,38,48,2,NULL,NULL,'2018-07-20 12:54:30'),
511 (155,13,39,6,2,NULL,NULL,'2018-07-20 12:54:30'),
512 (156,13,40,6,2,NULL,NULL,'2018-07-20 12:54:30'),
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568 (212,15,55,4,2,NULL,NULL,'2018-07-20 12:54:30'),
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698
699/*!40000 ALTER TABLE `experiments` ENABLE KEYS */;
700UNLOCK TABLES;
701
702
703# Dump of table exposures
704# ------------------------------------------------------------
705
706DROP TABLE IF EXISTS `exposures`;
707
708CREATE TABLE `exposures` (
709 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
710 `name` varchar(55) DEFAULT NULL,
711 PRIMARY KEY (`id`)
712) ENGINE=MyISAM DEFAULT CHARSET=latin1;
713
714LOCK TABLES `exposures` WRITE;
715/*!40000 ALTER TABLE `exposures` DISABLE KEYS */;
716
717INSERT INTO `exposures` (`id`, `name`)
718VALUES
719 (1,'Suspension'),
720 (2,'Air Liquid Interface'),
721 (3,'Synchrontron X-Ray Fluorescence'),
722 (4,'Culture RFS'),
723 (5,'Vitrocell'),
724 (6,'Cultex CG');
725
726/*!40000 ALTER TABLE `exposures` ENABLE KEYS */;
727UNLOCK TABLES;
728
729
730# Dump of table exposurevalues
731# ------------------------------------------------------------
732
733DROP TABLE IF EXISTS `exposurevalues`;
734
735CREATE TABLE `exposurevalues` (
736 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
737 `experiment_id` int(11) unsigned DEFAULT NULL,
738 `exposure_id` int(11) unsigned DEFAULT '1',
739 `lbound` double DEFAULT NULL,
740 `ubound` double DEFAULT NULL,
741 `error` double DEFAULT NULL,
742 `unit` varchar(40) DEFAULT 'ug/mL',
743 `duration` double DEFAULT NULL COMMENT '(hours)',
744 `notes` blob,
745 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
746 PRIMARY KEY (`id`)
747) ENGINE=MyISAM DEFAULT CHARSET=latin1;
748
749LOCK TABLES `exposurevalues` WRITE;
750/*!40000 ALTER TABLE `exposurevalues` DISABLE KEYS */;
751
752INSERT INTO `exposurevalues` (`id`, `experiment_id`, `exposure_id`, `lbound`, `ubound`, `error`, `unit`, `duration`, `notes`, `updated`)
753VALUES
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756 (3,217,1,NULL,100,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
757 (4,210,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
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759 (6,210,1,NULL,40,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
760 (7,264,2,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
761 (8,264,2,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
762 (9,264,2,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
763 (10,265,2,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
764 (11,265,2,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
765 (12,265,2,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
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767 (14,218,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
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840 (87,288,1,NULL,6.25,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
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1756 (1003,76,1,NULL,100,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1757 (1004,75,1,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
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1762 (1009,74,1,NULL,100,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
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1776 (1023,79,1,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1777 (1024,79,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1778 (1025,79,1,NULL,100,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1779 (1026,78,1,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1780 (1027,78,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1781 (1028,78,1,NULL,100,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1782 (1029,263,2,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1783 (1030,263,2,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1784 (1031,263,2,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1785 (1032,249,1,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1786 (1033,249,1,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1787 (1034,249,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1788 (1035,249,1,NULL,50,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1789 (1036,249,1,NULL,100,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1790 (1037,262,1,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1791 (1038,262,1,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1792 (1039,262,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1793 (1040,262,1,NULL,25,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1794 (1041,262,1,NULL,50,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1795 (1042,262,1,NULL,100,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1796 (1043,227,1,NULL,0.01,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1797 (1044,227,1,NULL,0.1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1798 (1045,227,1,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1799 (1046,227,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1800 (1047,227,1,NULL,100,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1801 (1048,261,1,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1802 (1049,261,1,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1803 (1050,261,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1804 (1051,261,1,NULL,25,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1805 (1052,261,1,NULL,50,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1806 (1053,261,1,NULL,100,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1807 (1054,270,1,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1808 (1055,270,1,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1809 (1056,270,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1810 (1057,270,1,NULL,20,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1811 (1058,270,1,NULL,30,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1812 (1059,270,1,NULL,40,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1813 (1060,270,1,NULL,50,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1814 (1061,260,1,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1815 (1062,260,1,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1816 (1063,260,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1817 (1064,260,1,NULL,25,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1818 (1065,260,1,NULL,50,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1819 (1066,260,1,NULL,100,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1820 (1067,276,1,NULL,30,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1821 (1068,267,1,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1822 (1069,267,1,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1823 (1070,267,1,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1824 (1071,266,2,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1825 (1072,266,2,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1826 (1073,266,2,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1827 (1074,263,4,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1828 (1075,263,4,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1829 (1076,263,4,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1830 (1077,264,4,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1831 (1078,264,4,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1832 (1079,264,4,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1833 (1080,265,4,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1834 (1081,265,4,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1835 (1082,265,4,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1836 (1083,266,4,NULL,1,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1837 (1084,266,4,NULL,5,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04'),
1838 (1085,266,4,NULL,10,NULL,'ug/mL',NULL,NULL,'2018-08-14 00:17:04');
1839
1840/*!40000 ALTER TABLE `exposurevalues` ENABLE KEYS */;
1841UNLOCK TABLES;
1842
1843
1844# Dump of table form
1845# ------------------------------------------------------------
1846
1847DROP TABLE IF EXISTS `form`;
1848
1849CREATE TABLE `form` (
1850 `form_sort` double unsigned NOT NULL AUTO_INCREMENT COMMENT 'CAREFUL WHEN CHANGING THIS AS IT WILL BREAK SOME OF THE PHP INSERT STUFF THAT RELIES ON THE ORDER OF THE ARRAY',
1851 `table_column` varchar(100) NOT NULL DEFAULT '',
1852 `form_label` varchar(55) NOT NULL DEFAULT '',
1853 `form_id` varchar(55) NOT NULL DEFAULT '',
1854 `form_class` varchar(50) NOT NULL,
1855 `form_type` varchar(55) NOT NULL DEFAULT 'text',
1856 `form_list` varchar(50) NOT NULL,
1857 `form_value` varchar(55) NOT NULL DEFAULT '',
1858 `form_dataunits` varchar(10) NOT NULL DEFAULT '',
1859 `form_for` varchar(55) NOT NULL DEFAULT '',
1860 `form_tooltip` varchar(55) NOT NULL DEFAULT '',
1861 `form_datasection` double NOT NULL,
1862 `php_datalist` varchar(55) NOT NULL DEFAULT '',
1863 `api_prop` varchar(55) NOT NULL DEFAULT '',
1864 `js_trigger` varchar(15) NOT NULL DEFAULT '',
1865 `hidden` varchar(6) NOT NULL DEFAULT '',
1866 `api_idconv` varchar(20) NOT NULL DEFAULT '',
1867 `js_onclick` varchar(20) NOT NULL DEFAULT '',
1868 `sql_params` varchar(50) NOT NULL DEFAULT '',
1869 `api_name` varchar(50) NOT NULL DEFAULT '',
1870 PRIMARY KEY (`form_sort`)
1871) ENGINE=MyISAM DEFAULT CHARSET=latin1;
1872
1873LOCK TABLES `form` WRITE;
1874/*!40000 ALTER TABLE `form` DISABLE KEYS */;
1875
1876INSERT INTO `form` (`form_sort`, `table_column`, `form_label`, `form_id`, `form_class`, `form_type`, `form_list`, `form_value`, `form_dataunits`, `form_for`, `form_tooltip`, `form_datasection`, `php_datalist`, `api_prop`, `js_trigger`, `hidden`, `api_idconv`, `js_onclick`, `sql_params`, `api_name`)
1877VALUES
1878 (1,'articles.pubmed','PubMed','pmed','','number','','','','','PubMed ID',0,'','','','','','','',''),
1879 (1.2,'meta[articles.doi]','DOI','doi','','text','','','','','Digital Object Identifier',0,'','doi','','','doi','','','idconv'),
1880 (1.3,'meta[articles.title]','Article Title','title','','text','','','','','Title of Journal Article',0,'','title','','','','','','eutils'),
1881 (1.4,'meta[articles.journal]','Journal','jrnl','','text','','','','','Name of Journal',0,'','fulljournalname','','','','','','eutils'),
1882 (1.5,'meta[authors.name]','Last Author','auth','','text','','','','','Name of the Last Author Listed',0,'','lastauthor','','','','','','eutils'),
1883 (1.6,'meta[authors.country]','Country','ctry','','text','','','','','Author\'s Country of Origin',0,'','','','','','','',''),
1884 (1.7,'meta[authors.institution]','Institution','inst','','text','','','','','Name of Institution',0,'','','','','','','',''),
1885 (1.8,'meta[articles.yearp]','Year','yr','','number','','','','','Publication year',0,'','pubdate','','','','','','eutils'),
1886 (1.9,'meta[keywords.keyword]','Keywords','kywrd','','text','','','','','',0,'','','','','','','',''),
1887 (2,'particles.compound','Compound','cmpd','','text','','','','','',0,'','','','','','','',''),
1888 (2.1,'particles.core','Core','core','','text','','','','','',0,'','','','','','','',''),
1889 (2.2,'particles.shell','Shell','shell','','text','','','','','',0,'','','','','','','',''),
1890 (2.3,'particles.surfacecoat','Surface Coating','surfcoat','','text','','','','','',0,'','','','','','','',''),
1891 (2.4,'particles.shape','Shape','shape','','text','','','','','',0,'','','','','','','',''),
1892 (2.5,'sources.acquisition_id','Manufactured','manu','','radio','','','','','',0,'','','','','','mutexclusive(this)','',''),
1893 (2.6,'sources.acquisition_id','Synthesized','synth','','radio','','','','','',0,'','','','','','mutexclusive(this)','',''),
1894 (2.7,'manufacturers.name','Supplier','manufacturers','','','manufacturers_dl','','','','',0,'','','manu','hide','','','',''),
1895 (2.71,'measures.reporteddiam','Reported Diameter','repdiam','','number','','','nm','','',0,'','','manu','hide','','','timepoint = 1',''),
1896 (2.8,'syntheses.name','Method Name','syntheses','','','syntheses_dl','','','','',0,'','','synth','hide','','','',''),
1897 (2.81,'synthesis.novel','Novel Method','novsynth','','checkbox','','1','','','',0,'','','synth','hide','','','',''),
1898 (2.82,'synthesis.notes','Notes','snote','','text','','','','','',0,'','','synth','hide','','','',''),
1899 (3,'measures.name','Measurement Type','measures','','','measures_dl','','','','',0,'','','','','','','',''),
1900 (3.1,'measurevalues.ubound','Measurement Value','mvalu','','number','','','','','',0,'','','','','','','',''),
1901 (3.2,'measurevalues.lbound','Range','mvall','','checkbox','','','','','',0,'','','','','','','',''),
1902 (3.3,'units.name','Unit','units','','','units_dl','','','','',0,'','','','','','','',''),
1903 (3.35,'measurevalues.error','Error','merr','','number','','','','','',0,'','','','','','','',''),
1904 (3.5,'measurevalues.method','Measurement Method','mmeth','','text','','','','','',0,'','','','','','','',''),
1905 (3.6,'measurevalues.conditions','Measurement Conditions','mcond','','text','','','','','',0,'','','','','','','',''),
1906 (4.01,'subjects.model_id','in vitro','vitro','','radio','','2','','','',0,'','','','','','mutexclusive(this)','',''),
1907 (4.02,'subjects.model_id','in vivo','vivo','','radio','','3','','','',0,'','','','','','mutexclusive(this)','',''),
1908 (4.1,'subjects.name','Species','vitrosubjects','','','vitrosubjects_dl','','','','',0,'$species','','vitro','hide','','','',''),
1909 (4.12,'subjectvitros.platesize','Plate Size','platesize','','text','','','','','',0,'$platesize','','vitro','hide','','','',''),
1910 (4.13,'subjectvitros.density','Plating Density','pdens','','number','','','cells/cm2','','',0,'','','vitro','hide','','','',''),
1911 (4.14,'subjectvitros.regen','Proliferation Rate','prorate','','number','','','hours','','',0,'','','vitro','hide','','','',''),
1912 (4.2,'subjects.name','Species','vivosubjects','','','vivosubjects_dl','','','','',0,'$species','','vivo','hide','','','',''),
1913 (4.22,'subjectvivos.age','Age','age','','text','','','','','',0,'','','vivo','hide','','','',''),
1914 (4.23,'subjectvivos.gender','Gender','gender','','text','','','','','',0,'','','vivo','hide','','','',''),
1915 (4.24,'subjectvivos.quantity','Subjects Per Dose','quant','','number','','','','','',0,'','','vivo','hide','','','',''),
1916 (5,'assays.name','Assay','assays','','','assays_dl','','','','',0,'','','','','','','',''),
1917 (5.1,'exposures.name','Exposure Type','exposures','','','exposures_dl','','','','',0,'$xmethod','','','','','','',''),
1918 (5.2,'exposurevalues.ubound','Exposure Concentration','xval','','number','','','','','',0,'','','','','','','',''),
1919 (5.3,'exposurevalues.error','Error','xerr','','number','','','','','',0,'','','','','','','',''),
1920 (5.4,'exposurevalues.unit','Units','xunit','','','units_dl','','','','',0,'$xunit','','','','','','',''),
1921 (5.5,'exposurevalues.lbound','Range','xrange','','checkbox','','','','','',0,'','','','','','','',''),
1922 (5.6,'exposurevalues.dur','Exposure Duration','xdur','','number','','','hours','','',0,'','','','','','','',''),
1923 (5.7,'experiments.notes','Experiment Notes','expnote','','text','','','','','',0,'','','','','','','',''),
1924 (6,'responses.name','Response Type','responses','','','responses_dl','','','','',0,'','','','','','','',''),
1925 (6.1,'responsevalues.ubound','Response Value','rval','','number','','','','','',0,'','','','','','','',''),
1926 (6.2,'responsevalues.error','Error','rerr','','number','','','','','',0,'','','','','','','',''),
1927 (6.3,'responsevalues.units','Unit','run','','','units_dl','','','','',0,'','','','','','','',''),
1928 (6.4,'responsevalues.lbound','Range','rrange','','checkbox','','','','','',0,'','','','','','','',''),
1929 (6.5,'responsevalues.method','Response Method','rmeth','','text','','','','','',0,'','','','hide','','','',''),
1930 (6.6,'responsevalues.conditions','Response Conditions','rcond','','text','','','','','',0,'','','','hide','','','','');
1931
1932/*!40000 ALTER TABLE `form` ENABLE KEYS */;
1933UNLOCK TABLES;
1934
1935
1936# Dump of table keywords
1937# ------------------------------------------------------------
1938
1939DROP TABLE IF EXISTS `keywords`;
1940
1941CREATE TABLE `keywords` (
1942 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
1943 `keyword` varchar(50) DEFAULT NULL,
1944 PRIMARY KEY (`id`)
1945) ENGINE=MyISAM DEFAULT CHARSET=latin1;
1946
1947LOCK TABLES `keywords` WRITE;
1948/*!40000 ALTER TABLE `keywords` DISABLE KEYS */;
1949
1950INSERT INTO `keywords` (`id`, `keyword`)
1951VALUES
1952 (1,'Human Toxicology'),
1953 (2,'Medicine'),
1954 (3,'Characterization'),
1955 (4,'Synthesis');
1956
1957/*!40000 ALTER TABLE `keywords` ENABLE KEYS */;
1958UNLOCK TABLES;
1959
1960
1961# Dump of table keywordship
1962# ------------------------------------------------------------
1963
1964DROP TABLE IF EXISTS `keywordship`;
1965
1966CREATE TABLE `keywordship` (
1967 `article_id` int(11) unsigned NOT NULL,
1968 `keyword_id` int(11) unsigned NOT NULL,
1969 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
1970 KEY `article_id` (`article_id`),
1971 KEY `keyword_id` (`keyword_id`),
1972 CONSTRAINT `keywordship_ibfk_1` FOREIGN KEY (`article_id`) REFERENCES `articles` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
1973 CONSTRAINT `keywordship_ibfk_2` FOREIGN KEY (`keyword_id`) REFERENCES `keywords` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
1974) ENGINE=MyISAM DEFAULT CHARSET=latin1;
1975
1976LOCK TABLES `keywordship` WRITE;
1977/*!40000 ALTER TABLE `keywordship` DISABLE KEYS */;
1978
1979INSERT INTO `keywordship` (`article_id`, `keyword_id`, `updated`)
1980VALUES
1981 (1,1,'2018-09-23 18:16:47'),
1982 (2,1,'2018-09-23 18:16:47'),
1983 (3,1,'2018-09-23 18:16:47'),
1984 (4,1,'2018-09-23 18:16:47'),
1985 (5,1,'2018-09-23 18:16:47'),
1986 (6,1,'2018-09-23 18:16:47'),
1987 (7,1,'2018-09-23 18:16:47'),
1988 (8,1,'2018-09-23 18:16:47'),
1989 (9,1,'2018-09-23 18:16:47'),
1990 (10,1,'2018-09-23 18:16:47'),
1991 (11,1,'2018-09-23 18:16:47'),
1992 (12,1,'2018-09-23 18:16:47'),
1993 (13,2,'2018-09-23 18:16:47'),
1994 (14,2,'2018-09-23 18:16:47'),
1995 (15,1,'2018-09-23 18:16:47'),
1996 (16,1,'2018-09-23 18:16:47'),
1997 (17,3,'2018-09-23 18:16:47'),
1998 (19,1,'2018-09-23 18:16:47'),
1999 (20,1,'2018-09-23 18:16:47'),
2000 (21,1,'2018-09-23 18:16:47'),
2001 (22,1,'2018-09-23 18:16:47'),
2002 (23,1,'2018-09-23 18:16:47'),
2003 (24,1,'2018-09-23 18:16:47'),
2004 (25,1,'2018-09-23 18:16:47'),
2005 (26,1,'2018-09-23 18:16:47'),
2006 (27,1,'2018-09-23 18:16:47'),
2007 (28,1,'2018-09-23 18:16:47'),
2008 (29,1,'2018-09-23 18:16:47'),
2009 (30,1,'2018-09-23 18:16:47'),
2010 (31,1,'2018-09-23 18:16:47'),
2011 (20,4,'2018-09-23 18:16:47');
2012
2013/*!40000 ALTER TABLE `keywordship` ENABLE KEYS */;
2014UNLOCK TABLES;
2015
2016
2017# Dump of table manufacturers
2018# ------------------------------------------------------------
2019
2020DROP TABLE IF EXISTS `manufacturers`;
2021
2022CREATE TABLE `manufacturers` (
2023 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2024 `name` varchar(100) DEFAULT NULL,
2025 `country` varchar(150) DEFAULT NULL,
2026 `rating` varchar(150) DEFAULT NULL,
2027 `url` varchar(200) DEFAULT NULL,
2028 PRIMARY KEY (`id`)
2029) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2030
2031LOCK TABLES `manufacturers` WRITE;
2032/*!40000 ALTER TABLE `manufacturers` DISABLE KEYS */;
2033
2034INSERT INTO `manufacturers` (`id`, `name`, `country`, `rating`, `url`)
2035VALUES
2036 (0,'Unknown',NULL,NULL,NULL),
2037 (1,'Beijing Nachen S&T Ltd',NULL,NULL,NULL),
2038 (2,'CIK Nano Tek Corporation',NULL,NULL,NULL),
2039 (3,'Intrinsiq Materials Ltd',NULL,NULL,NULL),
2040 (4,'io-li-tec',NULL,NULL,NULL),
2041 (5,'NanoAmor',NULL,NULL,NULL),
2042 (6,'Nanologica AB',NULL,NULL,NULL),
2043 (7,'Nanostructured and Amorphous Materials, Inc',NULL,NULL,NULL),
2044 (8,'Sigma Aldrich',NULL,NULL,NULL),
2045 (28,'Not Reported',NULL,NULL,NULL);
2046
2047/*!40000 ALTER TABLE `manufacturers` ENABLE KEYS */;
2048UNLOCK TABLES;
2049
2050
2051# Dump of table manufacturership
2052# ------------------------------------------------------------
2053
2054DROP TABLE IF EXISTS `manufacturership`;
2055
2056CREATE TABLE `manufacturership` (
2057 `particle_id` int(11) unsigned NOT NULL,
2058 `manufacturer_id` int(11) unsigned DEFAULT NULL,
2059 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
2060 PRIMARY KEY (`particle_id`),
2061 KEY `manufacturer_id` (`manufacturer_id`),
2062 CONSTRAINT `manufacturership_ibfk_1` FOREIGN KEY (`particle_id`) REFERENCES `particles` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
2063 CONSTRAINT `manufacturership_ibfk_2` FOREIGN KEY (`manufacturer_id`) REFERENCES `manufacturers` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
2064) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2065
2066LOCK TABLES `manufacturership` WRITE;
2067/*!40000 ALTER TABLE `manufacturership` DISABLE KEYS */;
2068
2069INSERT INTO `manufacturership` (`particle_id`, `manufacturer_id`, `updated`)
2070VALUES
2071 (2,3,'2018-09-23 16:53:15'),
2072 (4,7,'2018-09-23 16:53:15'),
2073 (13,6,'2018-09-23 16:53:15'),
2074 (14,8,'2018-09-23 16:53:15'),
2075 (19,2,'2018-09-23 16:53:15'),
2076 (35,8,'2018-09-23 16:53:15'),
2077 (39,8,'2018-09-23 16:53:15'),
2078 (55,7,'2018-09-23 16:53:15'),
2079 (58,5,'2018-09-23 16:53:15'),
2080 (60,5,'2018-09-23 16:53:15'),
2081 (62,8,'2018-09-23 16:53:15'),
2082 (65,8,'2018-09-23 16:53:15'),
2083 (71,4,'2018-09-23 16:53:15'),
2084 (75,8,'2018-09-23 16:53:15'),
2085 (76,8,'2018-09-23 16:53:15'),
2086 (84,1,'2018-09-23 16:53:15'),
2087 (86,8,'2018-09-23 16:53:15'),
2088 (91,8,'2018-09-23 16:53:15');
2089
2090/*!40000 ALTER TABLE `manufacturership` ENABLE KEYS */;
2091UNLOCK TABLES;
2092
2093
2094# Dump of table measures
2095# ------------------------------------------------------------
2096
2097DROP TABLE IF EXISTS `measures`;
2098
2099CREATE TABLE `measures` (
2100 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2101 `name` varchar(50) NOT NULL DEFAULT '',
2102 `unit_id` varchar(10) DEFAULT NULL,
2103 `notes` varchar(140) DEFAULT NULL,
2104 `def` varchar(140) DEFAULT NULL,
2105 `parameter` varchar(140) DEFAULT NULL,
2106 `symbol` char(1) DEFAULT NULL,
2107 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
2108 PRIMARY KEY (`id`),
2109 UNIQUE KEY `name` (`name`)
2110) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2111
2112LOCK TABLES `measures` WRITE;
2113/*!40000 ALTER TABLE `measures` DISABLE KEYS */;
2114
2115INSERT INTO `measures` (`id`, `name`, `unit_id`, `notes`, `def`, `parameter`, `symbol`, `updated`)
2116VALUES
2117 (0,'',NULL,NULL,NULL,NULL,NULL,'2018-09-29 20:19:16'),
2118 (1,'Diameter','nm','',NULL,NULL,NULL,'2018-08-02 19:46:25'),
2119 (2,'Zeta Potential','mV','',NULL,NULL,NULL,'2018-08-02 19:46:25'),
2120 (3,'Surface Area','m2/g','',NULL,NULL,NULL,'2018-08-02 19:46:25'),
2121 (4,'Length','nm','',NULL,NULL,NULL,'2018-08-02 19:46:25'),
2122 (5,'mg/kg',NULL,NULL,NULL,NULL,NULL,'2018-09-29 19:58:34'),
2123 (6,'particles/cm3',NULL,NULL,NULL,NULL,NULL,'2018-09-29 19:46:22'),
2124 (7,'Seed Particle Volume','mL','',NULL,NULL,NULL,'2018-08-02 19:46:25'),
2125 (8,'Reduction Potential','mV',NULL,NULL,NULL,NULL,'2018-08-02 19:46:25'),
2126 (9,'(Poly)Dispersity Index','','used to describe the degree of \"non-uniformity\" of a distribution','(stddev/mean)^2','PDI from DLS',NULL,'2018-08-02 19:46:25'),
2127 (10,'Absorbance','',NULL,'',NULL,'A','2018-08-02 19:46:25');
2128
2129/*!40000 ALTER TABLE `measures` ENABLE KEYS */;
2130UNLOCK TABLES;
2131
2132
2133# Dump of table measurevalues
2134# ------------------------------------------------------------
2135
2136DROP TABLE IF EXISTS `measurevalues`;
2137
2138CREATE TABLE `measurevalues` (
2139 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2140 `measure_id` int(11) unsigned DEFAULT NULL,
2141 `particle_id` int(11) unsigned DEFAULT NULL,
2142 `lbound` float DEFAULT NULL,
2143 `ubound` float DEFAULT NULL,
2144 `error` float DEFAULT NULL,
2145 `unit_id` int(11) unsigned DEFAULT '0',
2146 `method` varchar(50) DEFAULT NULL,
2147 `conditions` varchar(100) DEFAULT NULL,
2148 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
2149 `timepoint_id` int(11) unsigned DEFAULT NULL,
2150 `notes` varchar(400) DEFAULT NULL,
2151 PRIMARY KEY (`id`),
2152 KEY `measure_id` (`measure_id`),
2153 KEY `particle_id` (`particle_id`),
2154 KEY `timepoint_id` (`timepoint_id`),
2155 KEY `unit_id` (`unit_id`),
2156 CONSTRAINT `measurevalues_ibfk_1` FOREIGN KEY (`measure_id`) REFERENCES `measures` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
2157 CONSTRAINT `measurevalues_ibfk_2` FOREIGN KEY (`particle_id`) REFERENCES `particles` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
2158 CONSTRAINT `measurevalues_ibfk_3` FOREIGN KEY (`timepoint_id`) REFERENCES `timepoints` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
2159 CONSTRAINT `measurevalues_ibfk_4` FOREIGN KEY (`unit_id`) REFERENCES `units` (`id`) ON UPDATE CASCADE
2160) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2161
2162LOCK TABLES `measurevalues` WRITE;
2163/*!40000 ALTER TABLE `measurevalues` DISABLE KEYS */;
2164
2165INSERT INTO `measurevalues` (`id`, `measure_id`, `particle_id`, `lbound`, `ubound`, `error`, `unit_id`, `method`, `conditions`, `updated`, `timepoint_id`, `notes`)
2166VALUES
2167 (1,2,1,-25,-25,0,1,'','','2018-09-29 19:24:05',NULL,NULL),
2168 (2,3,1,0,0,0,7,'','','2018-09-29 19:27:28',NULL,NULL),
2169 (3,1,1,23,23,0,1,'TEM','','2018-09-29 19:24:06',NULL,NULL),
2170 (4,1,1,87,87,0,1,'DLS','','2018-09-29 19:24:07',NULL,NULL),
2171 (5,3,2,0,0,0,7,'','','2018-09-29 19:27:29',NULL,NULL),
2172 (6,2,2,-11,-11,0.1,8,'','media','2018-09-29 19:25:24',NULL,NULL),
2173 (7,1,2,172,172,7.6,1,'','water','2018-09-29 19:24:08',NULL,NULL),
2174 (8,1,2,214,214,14.8,1,'','media','2018-09-29 19:24:09',NULL,NULL),
2175 (9,1,2,28.2,28.2,13.7,1,'TEM','','2018-09-29 19:24:09',NULL,NULL),
2176 (10,2,2,36,36,1.3,8,'','water ','2018-09-29 19:25:24',NULL,NULL),
2177 (11,3,4,9,9,0,7,'','','2018-09-29 19:27:29',NULL,NULL),
2178 (12,1,4,47,47,24,1,'','','2018-09-29 19:24:11',NULL,NULL),
2179 (13,3,10,7,7,0,7,'','','2018-09-29 19:27:30',NULL,NULL),
2180 (14,1,10,100,100,0,1,'','','2018-09-29 19:24:12',NULL,NULL),
2181 (15,2,10,0,0,0,8,'','','2018-09-29 19:25:25',NULL,NULL),
2182 (16,3,11,0,0,0,7,'','','2018-09-29 19:27:30',NULL,NULL),
2183 (17,1,11,80,80,0,1,'GSD 1.5','','2018-09-29 19:24:14',NULL,NULL),
2184 (18,1,12,180,180,0,1,'GSD 1.5','','2018-09-29 19:24:14',NULL,NULL),
2185 (19,1,13,22,25,0,1,'','','2018-09-29 19:24:15',NULL,NULL),
2186 (20,3,13,28,28,0,7,'','','2018-09-29 19:27:30',NULL,NULL),
2187 (21,1,13,154.5,154.5,1.7,1,'DLS','','2018-09-29 19:24:18',NULL,NULL),
2188 (22,1,13,168.4,168.4,3.9,1,'NTA','','2018-09-29 19:24:18',NULL,NULL),
2189 (23,2,13,36,36,1.3,8,'','','2018-09-29 19:25:25',NULL,NULL),
2190 (24,1,13,89.1,89.1,3.3,1,'electrical mobility','','2018-09-29 19:24:20',NULL,NULL),
2191 (25,1,16,100,100,0,1,'TEM','','2018-09-29 19:24:20',NULL,NULL),
2192 (26,1,16,100,100,0,1,'BET','','2018-09-29 19:24:21',NULL,NULL),
2193 (27,2,16,11,11,2.2,8,'','2 mM NaClO4','2018-09-29 19:25:25',NULL,NULL),
2194 (28,3,16,7,7,0.7,7,'','','2018-09-29 19:27:31',NULL,NULL),
2195 (29,1,19,20,100,0,1,'TEM','','2018-09-29 19:24:22',NULL,NULL),
2196 (30,3,19,13,13,0,7,'','measured','2018-09-29 19:27:31',NULL,NULL),
2197 (31,3,19,20,20,0,7,'','','2018-09-29 19:27:31',1,NULL),
2198 (32,1,19,48,48,0,1,'','','2018-09-29 19:24:23',1,NULL),
2199 (33,2,26,17,17,0,8,'','','2018-09-29 19:25:26',NULL,NULL),
2200 (34,1,26,12,12,0,1,'TEM ','','2018-09-29 19:24:24',NULL,NULL),
2201 (35,1,26,130,130,0,1,'DLS','','2018-09-29 19:24:25',NULL,NULL),
2202 (36,3,35,29,29,0,7,'','','2018-09-29 19:27:32',NULL,NULL),
2203 (37,1,35,176,176,1.5,1,'DLS','distilled water','2018-09-29 19:24:26',NULL,NULL),
2204 (38,1,35,188,188,5.3,1,'DLS','DMEM','2018-09-29 19:24:27',NULL,NULL),
2205 (39,1,35,192,192,4.6,1,'DLS','RPMI-1641','2018-09-29 19:24:27',NULL,NULL),
2206 (40,2,35,-21,-21,0.54,8,'','DMEM','2018-09-29 19:25:26',NULL,NULL),
2207 (41,2,35,-21,-21,0.88,8,'RPMI-1640 ','','2018-09-29 19:25:26',NULL,NULL),
2208 (42,1,35,29,29,0.7,1,'TEM','','2018-09-29 19:24:29',NULL,NULL),
2209 (43,2,35,39,39,0.9,8,'','distilled water ','2018-09-29 19:25:26',NULL,NULL),
2210 (44,3,39,23,23,0,7,'','','2018-09-29 19:27:32',NULL,NULL),
2211 (45,2,39,31,31,0,8,'','','2018-09-29 19:25:27',NULL,NULL),
2212 (46,1,39,220,220,0,1,'DLS','','2018-09-29 19:24:30',NULL,NULL),
2213 (47,1,39,20,40,0,1,'TEM ','','2018-09-29 19:24:31',NULL,NULL),
2214 (48,1,39,42,42,0,1,'','','2018-09-29 19:24:31',1,NULL),
2215 (49,3,47,25,25,0,7,'','','2018-09-29 19:27:32',NULL,NULL),
2216 (50,2,47,28,28,0,8,'','1mM NaCl','2018-09-29 19:25:27',NULL,NULL),
2217 (51,1,47,20,50,0,1,'','','2018-09-29 19:24:33',NULL,NULL),
2218 (52,1,55,12,12,1,1,'TEM ','','2018-09-29 19:24:34',NULL,NULL),
2219 (53,1,55,25,25,0,1,'','','2018-09-29 19:24:34',1,NULL),
2220 (54,1,55,30,30,1.92,1,'SMPS - geometric','','2018-09-29 19:24:35',NULL,NULL),
2221 (55,1,56,113,113,0,1,'water synthesis ','','2018-09-29 19:24:36',NULL,NULL),
2222 (56,1,56,130,130,0,1,'aggregate, ethanol synthesis','','2018-09-29 19:24:37',NULL,NULL),
2223 (57,1,56,7,7,0,1,'primary, ethanol synthesis ','','2018-09-29 19:24:47',NULL,NULL),
2224 (58,3,58,40,40,0,7,'','','2018-09-29 19:27:32',NULL,NULL),
2225 (59,1,58,1175,1175,369,1,'','water','2018-09-29 19:24:47',NULL,NULL),
2226 (60,1,58,25,25,0,1,'','','2018-09-29 19:24:47',1,NULL),
2227 (61,1,58,272,272,93,1,'','DMEM+10%FBS ','2018-09-29 19:24:48',NULL,NULL),
2228 (62,1,58,537,537,167,1,'','DMEM','2018-09-29 19:24:48',NULL,NULL),
2229 (63,2,58,-9,-9,3,8,'','water','2018-09-29 19:25:27',NULL,NULL),
2230 (64,3,60,40,40,0,7,'','','2018-09-29 19:27:33',NULL,NULL),
2231 (65,1,60,25,25,0,1,'','manufacturer ','2018-09-29 19:24:48',1,NULL),
2232 (66,1,60,253,253,8,1,'','DMEM+10%FBS ','2018-09-29 19:24:48',NULL,NULL),
2233 (67,1,60,392,392,90,1,'','water','2018-09-29 19:24:48',NULL,NULL),
2234 (68,1,60,447,447,121,1,'','DMEM ','2018-09-29 19:24:49',NULL,NULL),
2235 (69,2,60,-6,-6,0.7,8,'','water','2018-09-29 19:25:27',NULL,NULL),
2236 (70,2,62,-12.5,-12.5,0.86,8,'','water ','2018-09-29 19:25:27',NULL,NULL),
2237 (71,2,62,-20.5,-20.5,1.6,8,'','buffer','2018-09-29 19:25:28',NULL,NULL),
2238 (72,1,62,304.7,304.7,25.9,1,'DLS','water','2018-09-29 19:24:49',NULL,NULL),
2239 (73,1,62,34.38,34.38,0.76,1,'TEM ','','2018-09-29 19:24:49',NULL,NULL),
2240 (74,1,64,10,11,0,1,'','','2018-09-29 19:24:49',NULL,NULL),
2241 (75,1,64,36,36,0,1,'','','2018-09-29 19:24:49',NULL,NULL),
2242 (76,2,65,-5,-5,0,8,'','','2018-09-29 19:25:28',NULL,NULL),
2243 (77,3,65,17,17,0,7,'','','2018-09-29 19:27:33',NULL,NULL),
2244 (78,1,65,55,55,0,1,'','','2018-09-29 19:24:50',NULL,NULL),
2245 (79,1,66,15,15,1.2,1,'TEM ','','2018-09-29 19:24:50',NULL,NULL),
2246 (80,1,66,243,243,56,1,'DLS','water ','2018-09-29 19:24:50',NULL,NULL),
2247 (81,1,66,302,302,78,1,'DLS','PBS ','2018-09-29 19:24:50',NULL,NULL),
2248 (82,1,67,14,14,1.1,1,'TEM ','','2018-09-29 19:25:08',NULL,NULL),
2249 (83,1,67,198,198,50,1,'DLS','water','2018-09-29 19:24:58',NULL,NULL),
2250 (84,1,67,352,352,84,1,'DLS','PBS ','2018-09-29 19:25:09',NULL,NULL),
2251 (85,1,68,15,15,0.9,1,'TEM ','','2018-09-29 19:25:00',NULL,NULL),
2252 (86,1,68,278,278,31,1,'DLS','water ','2018-09-29 19:24:51',NULL,NULL),
2253 (87,1,68,403,403,22,1,'DLS','PBS ','2018-09-29 19:24:52',NULL,NULL),
2254 (88,1,69,15,15,1.5,1,'TEM ','','2018-09-29 19:24:52',NULL,NULL),
2255 (89,1,69,33,33,2,1,'DLS','water','2018-09-29 19:24:52',NULL,NULL),
2256 (90,1,69,63,63,2,1,'DLS','PBS','2018-09-29 19:24:52',NULL,NULL),
2257 (91,3,75,17,17,0,7,'','','2018-09-29 19:27:33',NULL,NULL),
2258 (92,1,75,55,55,0,1,'','','2018-09-29 19:24:54',NULL,NULL),
2259 (93,2,75,-13,-13,0,8,'','DMEM','2018-09-29 19:25:28',NULL,NULL),
2260 (94,1,76,0,50,0,1,'','','2018-09-29 19:27:04',NULL,NULL),
2261 (95,1,77,0,0,0,1,'','','2018-09-29 19:24:55',NULL,NULL),
2262 (96,2,79,17,17,0,8,'','','2018-09-29 19:25:28',NULL,NULL),
2263 (97,1,79,11.9,11.9,0,1,'TEM ','','2018-09-29 19:24:55',NULL,NULL),
2264 (98,1,79,130,130,0,1,'DLS','','2018-09-29 19:24:55',NULL,NULL),
2265 (99,3,85,118,118,4,7,'','','2018-09-29 19:27:33',NULL,NULL),
2266 (100,3,85,22,22,0.4,7,'','','2018-09-29 19:27:34',NULL,NULL),
2267 (101,1,86,24,24,9,1,'','','2018-09-29 19:24:55',NULL,NULL),
2268 (102,1,85,4,4,1,1,'','','2018-09-29 19:24:57',NULL,NULL),
2269 (103,3,91,50,50,0,7,'','','2018-09-29 19:27:34',NULL,NULL),
2270 (104,2,91,-24,-24,0,8,'','','2018-09-29 19:25:30',NULL,NULL),
2271 (105,3,95,20,20,0,7,'','','2018-09-29 19:27:35',NULL,NULL),
2272 (174,9,79,NULL,0.16,0,10,'DLS','','2018-09-29 19:26:32',NULL,NULL),
2273 (175,9,62,NULL,0.195,0,10,'DLS','','2018-09-29 19:26:30',NULL,NULL),
2274 (176,9,2,NULL,0.189,NULL,10,'','','2018-09-29 19:27:49',NULL,NULL),
2275 (177,9,2,NULL,0.508,NULL,10,'','','2018-09-29 19:26:48',NULL,NULL),
2276 (178,9,13,NULL,0.157,NULL,10,'DLS','','2018-09-29 19:27:51',NULL,NULL),
2277 (179,9,26,NULL,0.17,NULL,10,'DLS','','2018-09-29 19:27:51',NULL,NULL),
2278 (189,10,85,NULL,490,NULL,10,'','','2018-09-29 19:28:01',NULL,NULL),
2279 (190,10,86,NULL,490,NULL,10,'','','2018-09-29 19:28:01',NULL,NULL),
2280 (191,10,95,NULL,488,NULL,10,'','','2018-09-29 19:28:02',NULL,NULL);
2281
2282/*!40000 ALTER TABLE `measurevalues` ENABLE KEYS */;
2283UNLOCK TABLES;
2284
2285
2286# Dump of table models
2287# ------------------------------------------------------------
2288
2289DROP TABLE IF EXISTS `models`;
2290
2291CREATE TABLE `models` (
2292 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2293 `expmodel` varchar(45) DEFAULT NULL,
2294 `meaning` varchar(100) DEFAULT NULL,
2295 PRIMARY KEY (`id`)
2296) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2297
2298LOCK TABLES `models` WRITE;
2299/*!40000 ALTER TABLE `models` DISABLE KEYS */;
2300
2301INSERT INTO `models` (`id`, `expmodel`, `meaning`)
2302VALUES
2303 (1,'in silico','in the computer'),
2304 (2,'in vitro','in the glass'),
2305 (3,'in vivo','in the living'),
2306 (4,'ex vivo','out of the living'),
2307 (5,'in operando','in working order'),
2308 (6,'in utero','in the womb'),
2309 (7,'in situ','in the place'),
2310 (8,'in planta','in the plant'),
2311 (9,'in virtuo','in virtual reality'),
2312 (10,'in natura','in nature'),
2313 (11,'in papyro','in the paper'),
2314 (12,'in ovo','in the egg');
2315
2316/*!40000 ALTER TABLE `models` ENABLE KEYS */;
2317UNLOCK TABLES;
2318
2319
2320# Dump of table particles
2321# ------------------------------------------------------------
2322
2323DROP TABLE IF EXISTS `particles`;
2324
2325CREATE TABLE `particles` (
2326 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2327 `article_id` int(11) unsigned DEFAULT NULL,
2328 `compound` varchar(45) DEFAULT NULL,
2329 `core` varchar(45) DEFAULT NULL,
2330 `shell` varchar(45) DEFAULT NULL,
2331 `purity` varchar(45) DEFAULT NULL,
2332 `surfacecoat` varchar(45) DEFAULT NULL,
2333 `shape` varchar(45) DEFAULT NULL,
2334 `seedvol` float DEFAULT NULL,
2335 `polydisp` varchar(45) DEFAULT NULL,
2336 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
2337 `notes` varchar(140) DEFAULT NULL,
2338 PRIMARY KEY (`id`),
2339 KEY `article_id` (`article_id`),
2340 CONSTRAINT `particles_ibfk_1` FOREIGN KEY (`article_id`) REFERENCES `articles` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
2341) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2342
2343LOCK TABLES `particles` WRITE;
2344/*!40000 ALTER TABLE `particles` DISABLE KEYS */;
2345
2346INSERT INTO `particles` (`id`, `article_id`, `compound`, `core`, `shell`, `purity`, `surfacecoat`, `shape`, `seedvol`, `polydisp`, `updated`, `notes`)
2347VALUES
2348 (1,1,'CuO','CuO','','','','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2349 (2,2,'CuO','CuO','','','','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2350 (3,3,'Cr2O3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2351 (4,3,'CuO','CuO','','0.999','','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2352 (5,3,'Fe2O3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2353 (6,3,'Mn2O3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2354 (7,3,'NiO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2355 (8,3,'TiO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2356 (9,3,'ZnO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2357 (10,4,'Cu','Cu','Cu2O/CuO','0.999','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2358 (11,5,'Cu','Cu','','0.99999','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2359 (12,5,'Cu','Cu','','0.998','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2360 (13,6,'CuO','CuO','','>0.99','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2361 (14,7,'CuO','CuO','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2362 (15,8,'Al','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2363 (16,8,'Cu','Cu','Cu2O/CuO','0.999','','non-spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2364 (17,8,'Mn','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2365 (18,9,'Bi2O3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2366 (19,9,'CuO','CuO','','0.99','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2367 (20,9,'MgO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2368 (21,9,'MoO3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2369 (22,9,'NiO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2370 (23,9,'ZnO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2371 (24,10,'Al2O3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2372 (25,10,'Co3O4','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2373 (26,10,'CuO','CuO','','','','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2374 (27,10,'Fe3O4','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2375 (28,10,'MgO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2376 (29,10,'Mn3O4','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2377 (30,10,'Sb2O3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2378 (31,10,'SiO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2379 (32,10,'TiO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2380 (33,10,'WO3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2381 (34,10,'ZnO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2382 (35,11,'CuO','CuO','','','','quasi-spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2383 (36,11,'CoO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2384 (37,11,'ZnO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2385 (38,12,'CuO','CuO','','','','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2386 (39,13,'CuO','CuO','','','','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2387 (40,13,'TiO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2388 (41,13,'ZnO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2389 (42,13,'CuZnFe2O4','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2390 (43,13,'Fe2O3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2391 (44,13,'Fe3O4','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2392 (45,13,'carbon','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2393 (46,13,'nanotubes','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2394 (47,14,'CuO','Cu','Cu2O/CuO','0.999','','non-spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2395 (48,14,'CuZnFe2O4','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2396 (49,14,'Fe2O3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2397 (50,14,'Fe3O4','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2398 (51,14,'carbon','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2399 (52,14,'nanotubes','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2400 (53,14,'TiO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2401 (54,14,'ZnO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2402 (55,15,'CuO','Cu','Cu2O/CuO','','','',NULL,'1','2018-07-20 12:55:45',NULL),
2403 (56,16,'CuO','CuO','','','','leaflike',NULL,NULL,'2018-07-20 12:55:45',NULL),
2404 (57,16,'ZnO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2405 (58,17,'Cu','Cu','','','','non-spherical',NULL,'1','2018-07-20 12:55:45',NULL),
2406 (59,17,'Ni','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2407 (60,17,'Cu','Cu','carbon','','','non-spherical',NULL,NULL,'2018-07-31 13:41:47',NULL),
2408 (61,17,'Ni','','','','','',NULL,NULL,'2018-07-31 13:41:49',NULL),
2409 (62,19,'CuO','CuO','','1','','quasi-spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2410 (63,19,'TiO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2411 (64,20,'CuO','CuO','','1','','quasi-spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2412 (65,21,'CuO','CuO','','0.998','','spherical',NULL,NULL,'2018-08-11 19:31:08',NULL),
2413 (66,22,'Cu','Cu','','','MOA ','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2414 (67,22,'Cu','Cu','','','MDA','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2415 (68,22,'Cu','Cu','','','MHA','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2416 (69,22,'Cu','Cu','','','TA','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2417 (70,23,'CeO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2418 (71,23,'CuO','CuO','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2419 (72,23,'MgO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2420 (73,23,'carbon','','','ultrafine','','',NULL,NULL,'2018-08-11 19:28:55',' (Printex 90)'),
2421 (74,23,'TiO2 (Aeroxide P25)','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2422 (75,24,'CuO','CuO','','0.998','','spherical',NULL,NULL,'2018-08-11 19:31:17',NULL),
2423 (76,25,'CuO','CuO','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2424 (77,26,'Cu','Cu','','','','rods',NULL,NULL,'2018-07-20 12:55:45',NULL),
2425 (78,27,'Co3O4','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2426 (79,27,'CuO','CuO','','','','spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2427 (80,27,'Mn3O4','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2428 (81,27,'Sb2O3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2429 (82,27,'TiO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2430 (83,27,'ZnO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2431 (84,28,'CuO','CuO','','','','non-spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2432 (85,29,'CuO','CuO','','','acetate','spherical',NULL,NULL,'2018-08-11 19:32:31',NULL),
2433 (86,29,'CuO','CuO','','','carbonate','spherical',NULL,NULL,'2018-08-11 19:32:35',NULL),
2434 (87,29,'Cu(NO3)2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2435 (88,29,'NaNO3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2436 (89,30,'Al2O3','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2437 (90,30,'CeO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2438 (91,30,'CuO','CuO','','high','','quasi-spherical',NULL,NULL,'2018-07-20 12:55:45',NULL),
2439 (92,30,'SiO2','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2440 (93,30,'ZnO','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2441 (94,31,'chitosan','','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL),
2442 (95,31,'CuO','CuO','','','','',NULL,NULL,'2018-07-20 12:55:45',NULL);
2443
2444/*!40000 ALTER TABLE `particles` ENABLE KEYS */;
2445UNLOCK TABLES;
2446
2447
2448# Dump of table responses
2449# ------------------------------------------------------------
2450
2451DROP TABLE IF EXISTS `responses`;
2452
2453CREATE TABLE `responses` (
2454 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2455 `name` varchar(150) DEFAULT NULL,
2456 `notes` varchar(200) DEFAULT NULL,
2457 PRIMARY KEY (`id`)
2458) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2459
2460LOCK TABLES `responses` WRITE;
2461/*!40000 ALTER TABLE `responses` DISABLE KEYS */;
2462
2463INSERT INTO `responses` (`id`, `name`, `notes`)
2464VALUES
2465 (1,'LC50','lethal concentration, 50%'),
2466 (2,'NOAEL','no-observed adverse effect level'),
2467 (3,'LOAEL','lowest-observed adverse effect level'),
2468 (4,'t 1/2','bloof half-life');
2469
2470/*!40000 ALTER TABLE `responses` ENABLE KEYS */;
2471UNLOCK TABLES;
2472
2473
2474# Dump of table responsevalues
2475# ------------------------------------------------------------
2476
2477DROP TABLE IF EXISTS `responsevalues`;
2478
2479CREATE TABLE `responsevalues` (
2480 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2481 `response_id` int(11) unsigned NOT NULL,
2482 `experiment_id` int(11) unsigned NOT NULL,
2483 `lbound` float NOT NULL,
2484 `ubound` float NOT NULL,
2485 `units` varchar(25) NOT NULL DEFAULT '',
2486 `error` float DEFAULT NULL,
2487 `method` varchar(50) DEFAULT NULL,
2488 `conditions` varchar(100) DEFAULT NULL,
2489 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
2490 `timepoint_id` int(11) unsigned DEFAULT NULL,
2491 `notes` varchar(400) DEFAULT NULL,
2492 PRIMARY KEY (`id`),
2493 KEY `experiment_id` (`experiment_id`)
2494) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2495
2496LOCK TABLES `responsevalues` WRITE;
2497/*!40000 ALTER TABLE `responsevalues` DISABLE KEYS */;
2498
2499INSERT INTO `responsevalues` (`id`, `response_id`, `experiment_id`, `lbound`, `ubound`, `units`, `error`, `method`, `conditions`, `updated`, `timepoint_id`, `notes`)
2500VALUES
2501 (1,1,48,10,20,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:03',2,NULL),
2502 (2,1,217,10,100,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2503 (3,1,235,10,50,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2504 (4,1,237,10,50,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2505 (5,1,275,0,30,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2506 (6,1,330,0,25,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2507 (7,1,155,0,40,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2508 (8,3,48,10,10,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2509 (9,3,217,1,1,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2510 (10,3,235,5,5,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2511 (11,3,237,5,5,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2512 (12,1,280,75,75,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2513 (13,1,61,62.5,62.5,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2514 (14,1,287,43.8,43.8,'ug/mL',NULL,'',NULL,'2018-07-28 14:09:01',2,NULL),
2515 (15,1,339,25,25,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:24',2,NULL),
2516 (16,1,9,20,20,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2517 (17,1,253,20,20,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2518 (18,1,304,15,15,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2519 (19,1,146,12,12,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2520 (20,1,1,10,10,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2521 (21,1,128,7.4,7.4,'ug/mL',NULL,'',NULL,'2018-07-28 14:09:03',2,NULL),
2522 (22,1,67,6.2,6.2,'ug/mL',NULL,'',NULL,'2018-07-28 14:09:04',2,NULL),
2523 (23,1,18,6,6,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2524 (24,1,45,2,2,'ug/cm2',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2525 (25,3,280,10,10,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2526 (26,3,287,3.125,3.125,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2527 (27,3,9,10,10,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2528 (28,3,304,5,5,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2529 (29,3,128,3.125,3.125,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL),
2530 (30,3,18,1,1,'ug/mL',NULL,'',NULL,'2018-07-28 14:08:25',2,NULL);
2531
2532/*!40000 ALTER TABLE `responsevalues` ENABLE KEYS */;
2533UNLOCK TABLES;
2534
2535
2536# Dump of table sources
2537# ------------------------------------------------------------
2538
2539DROP TABLE IF EXISTS `sources`;
2540
2541CREATE TABLE `sources` (
2542 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2543 `name` varchar(50) DEFAULT NULL COMMENT 'supplier / synthesis method',
2544 PRIMARY KEY (`id`)
2545) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2546
2547LOCK TABLES `sources` WRITE;
2548/*!40000 ALTER TABLE `sources` DISABLE KEYS */;
2549
2550INSERT INTO `sources` (`id`, `name`)
2551VALUES
2552 (0,'Unknown'),
2553 (1,'Beijing Nachen S&T Ltd'),
2554 (2,'CIK Nano Tek Corporation'),
2555 (3,'Intrinsiq Materials Ltd'),
2556 (4,'io-li-tec'),
2557 (5,'NanoAmor'),
2558 (6,'Nanologica AB'),
2559 (7,'Nanostructured and Amorphous Materials, Inc'),
2560 (8,'Sigma Aldrich'),
2561 (9,'Almond Extract-Mediated Synthesis'),
2562 (10,'F. Religiosa Leaf Extract-Mediated Synthesis'),
2563 (11,'Flame Pyrolysis'),
2564 (12,'Furnace, RGB'),
2565 (13,'Nanoparticle Coated Fabrics'),
2566 (14,'NaOH, A. indica, H. rosa-sinensis, M. koenigii, M.'),
2567 (15,'Solvo-Thermal'),
2568 (16,'Wire Explosion'),
2569 (17,'Not Reported'),
2570 (18,'Not Reported');
2571
2572/*!40000 ALTER TABLE `sources` ENABLE KEYS */;
2573UNLOCK TABLES;
2574
2575
2576# Dump of table subjects
2577# ------------------------------------------------------------
2578
2579DROP TABLE IF EXISTS `subjects`;
2580
2581CREATE TABLE `subjects` (
2582 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2583 `kingdom` varchar(45) DEFAULT NULL,
2584 `genus` varchar(45) DEFAULT NULL,
2585 `name` varchar(45) DEFAULT NULL,
2586 `model_id` int(11) unsigned DEFAULT NULL,
2587 `common name` varchar(150) DEFAULT NULL,
2588 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
2589 PRIMARY KEY (`id`),
2590 KEY `model_id` (`model_id`),
2591 CONSTRAINT `subjects_ibfk_1` FOREIGN KEY (`model_id`) REFERENCES `models` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
2592) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2593
2594LOCK TABLES `subjects` WRITE;
2595/*!40000 ALTER TABLE `subjects` DISABLE KEYS */;
2596
2597INSERT INTO `subjects` (`id`, `kingdom`, `genus`, `name`, `model_id`, `common name`, `updated`)
2598VALUES
2599 (1,NULL,NULL,'A549',2,'human lung cell','2018-09-29 17:26:38'),
2600 (2,NULL,NULL,'BEAS-2B',2,'human lung cell','2018-09-29 17:26:38'),
2601 (3,NULL,NULL,'Balb/c 3T3',2,NULL,'2018-09-29 17:26:38'),
2602 (4,NULL,NULL,'Caco-2',2,NULL,'2018-09-29 17:26:38'),
2603 (5,NULL,NULL,'THP-1',2,NULL,'2018-09-29 17:26:38'),
2604 (6,NULL,NULL,'HeLa',2,NULL,'2018-09-29 17:26:38'),
2605 (7,NULL,NULL,'HepG2',2,NULL,'2018-09-29 17:26:38'),
2606 (8,NULL,NULL,'MCF-7',2,NULL,'2018-09-29 17:26:38'),
2607 (9,NULL,NULL,'NHDF',2,NULL,'2018-09-29 17:26:38'),
2608 (10,NULL,NULL,'HeLa S3',2,NULL,'2018-09-29 17:26:38'),
2609 (11,NULL,NULL,'RAW 264.7',2,NULL,'2018-09-29 17:26:38'),
2610 (12,NULL,NULL,'NIH 3T3',2,NULL,'2018-09-29 17:26:38'),
2611 (13,NULL,NULL,'Daphnia magna',3,NULL,'2018-09-29 18:25:49');
2612
2613/*!40000 ALTER TABLE `subjects` ENABLE KEYS */;
2614UNLOCK TABLES;
2615
2616
2617# Dump of table subjectvitros
2618# ------------------------------------------------------------
2619
2620DROP TABLE IF EXISTS `subjectvitros`;
2621
2622CREATE TABLE `subjectvitros` (
2623 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2624 `article_id` int(11) unsigned NOT NULL,
2625 `subject_id` int(11) unsigned NOT NULL DEFAULT '1',
2626 `culturet` double DEFAULT '1' COMMENT '(hours)',
2627 `platesize` int(2) DEFAULT '96',
2628 `density` int(100) DEFAULT NULL COMMENT '(cells/cm2)',
2629 `platetype` varchar(50) DEFAULT NULL,
2630 `volume` float DEFAULT NULL COMMENT '(mL)',
2631 `surfacearea` double DEFAULT NULL COMMENT '(cm2)',
2632 `notes` varchar(50) DEFAULT NULL,
2633 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
2634 `regen` int(11) DEFAULT '22' COMMENT '(hours)',
2635 `numcells` int(11) GENERATED ALWAYS AS (((((`surfacearea` * `density`) * `regen`) * 2) / `culturet`)) STORED,
2636 PRIMARY KEY (`id`),
2637 KEY `subject_id` (`subject_id`),
2638 KEY `article_id` (`article_id`),
2639 CONSTRAINT `subjectvitros_ibfk_1` FOREIGN KEY (`subject_id`) REFERENCES `subjects` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
2640 CONSTRAINT `subjectvitros_ibfk_2` FOREIGN KEY (`article_id`) REFERENCES `articles` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
2641) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2642
2643LOCK TABLES `subjectvitros` WRITE;
2644/*!40000 ALTER TABLE `subjectvitros` DISABLE KEYS */;
2645
2646INSERT INTO `subjectvitros` (`id`, `article_id`, `subject_id`, `culturet`, `platesize`, `density`, `platetype`, `volume`, `surfacearea`, `notes`, `updated`, `regen`, `numcells`)
2647VALUES
2648 (1,1,1,24,96,3125,NULL,0.1,0.32,NULL,'2018-08-11 19:43:35',22,1833),
2649 (2,2,1,24,6,21053,NULL,1,9.5,NULL,'2018-08-11 19:43:35',22,366673),
2650 (3,3,1,24,24,32000,NULL,0.4,2,NULL,'2018-08-11 19:43:36',22,117333),
2651 (4,4,1,NULL,NULL,78125,NULL,NULL,NULL,NULL,'2018-07-20 12:56:02',22,NULL),
2652 (5,5,1,NULL,NULL,85653,NULL,NULL,NULL,NULL,'2018-07-20 12:56:02',22,NULL),
2653 (6,6,1,48,24,29762,NULL,0.4,0.336,NULL,'2018-08-11 19:43:41',22,9167),
2654 (7,7,1,48,96,5000,NULL,0.1,0.32,NULL,'2018-08-11 19:42:49',22,1467),
2655 (8,8,1,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'2018-07-20 12:56:02',22,NULL),
2656 (9,9,1,24,48,25000,NULL,0.2,1,NULL,'2018-08-11 19:42:55',22,45833),
2657 (10,10,1,24,96,15625,NULL,0.1,0.32,NULL,'2018-08-11 19:42:56',22,9167),
2658 (11,11,1,24,96,156250,NULL,0.1,0.32,NULL,'2018-08-11 19:42:56',22,91667),
2659 (12,12,1,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'2018-07-20 12:56:02',22,NULL),
2660 (13,13,1,24,24,40000,NULL,0.4,2,NULL,'2018-08-11 19:42:57',22,146667),
2661 (14,14,1,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'2018-07-20 12:56:02',22,NULL),
2662 (15,15,1,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'2018-07-20 12:56:02',22,NULL),
2663 (16,16,1,24,6,150000,NULL,2,9.5,NULL,'2018-08-11 19:42:59',22,2612500),
2664 (17,17,1,NULL,NULL,78125,NULL,NULL,NULL,NULL,'2018-07-20 12:56:02',22,NULL),
2665 (19,19,1,24,12,21053,NULL,1,3.9,NULL,'2018-08-11 19:43:00',22,150529),
2666 (20,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:01',22,9167),
2667 (21,21,1,24,48,16600,NULL,0.2,1,NULL,'2018-08-11 19:43:02',22,30433),
2668 (22,22,1,24,96,62500,NULL,0.1,0.32,NULL,'2018-08-11 19:43:02',22,36667),
2669 (23,23,1,NULL,NULL,100000,NULL,NULL,NULL,NULL,'2018-07-20 12:56:02',22,NULL),
2670 (24,24,1,NULL,NULL,16600,NULL,NULL,NULL,NULL,'2018-07-20 12:56:02',22,NULL),
2671 (25,25,1,12,96,10000,NULL,0.1,0.32,NULL,'2018-08-11 19:43:04',22,11733),
2672 (26,26,1,24,96,10526,NULL,0.1,0.32,NULL,'2018-08-11 19:43:05',22,6175),
2673 (27,27,1,24,96,15625,NULL,0.1,0.32,NULL,'2018-08-11 19:43:06',22,9167),
2674 (28,28,1,24,96,15625,NULL,0.1,0.32,NULL,'2018-08-11 19:43:19',22,9167),
2675 (29,29,1,NULL,NULL,31250,NULL,NULL,NULL,NULL,'2018-07-20 12:56:02',22,NULL),
2676 (30,30,1,3,96,15000,NULL,0.1,0.32,NULL,'2018-08-11 19:43:20',22,70400),
2677 (31,31,1,24,NULL,50000,NULL,NULL,NULL,NULL,'2018-08-11 19:43:21',22,NULL),
2678 (32,9,1,24,48,25000,NULL,0.2,1,NULL,'2018-08-11 19:43:22',22,45833),
2679 (33,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:22',22,9167),
2680 (34,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:23',22,9167),
2681 (35,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:25',22,9167),
2682 (36,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:25',22,9167),
2683 (37,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:26',22,9167),
2684 (38,22,1,24,96,62500,NULL,0.1,0.32,NULL,'2018-08-11 19:43:26',22,36667),
2685 (39,22,1,24,96,62500,NULL,0.1,0.32,NULL,'2018-08-11 19:43:27',22,36667),
2686 (40,22,1,24,96,62500,NULL,0.1,0.32,NULL,'2018-08-11 19:43:27',22,36667),
2687 (41,9,1,24,48,25000,NULL,0.2,1,NULL,'2018-08-11 19:43:28',22,45833),
2688 (42,19,1,24,12,21053,NULL,1,3.9,NULL,'2018-08-11 19:43:28',22,150529),
2689 (43,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:28',22,9167),
2690 (45,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:29',22,9167),
2691 (46,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:29',22,9167),
2692 (47,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:30',22,9167),
2693 (48,20,1,24,96,15625,NULL,0.2,0.32,'','2018-08-11 19:43:30',22,9167),
2694 (49,22,1,24,96,62500,NULL,0.1,0.32,NULL,'2018-08-11 19:43:30',22,36667),
2695 (50,22,1,24,96,62500,NULL,0.1,0.32,NULL,'2018-08-11 19:43:31',22,36667),
2696 (51,22,1,24,96,62500,NULL,0.1,0.32,NULL,'2018-08-11 19:43:34',22,36667);
2697
2698/*!40000 ALTER TABLE `subjectvitros` ENABLE KEYS */;
2699UNLOCK TABLES;
2700
2701
2702# Dump of table subjectvivos
2703# ------------------------------------------------------------
2704
2705DROP TABLE IF EXISTS `subjectvivos`;
2706
2707CREATE TABLE `subjectvivos` (
2708 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2709 `article_id` int(11) unsigned NOT NULL,
2710 `subject_id` int(11) unsigned NOT NULL DEFAULT '13',
2711 `age` varchar(50) DEFAULT '1' COMMENT '(days)',
2712 `gender` set('Male','Female','NR') DEFAULT NULL,
2713 `quantity` int(100) DEFAULT NULL,
2714 `notes` varchar(50) DEFAULT NULL,
2715 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
2716 PRIMARY KEY (`id`),
2717 KEY `subject_id` (`subject_id`),
2718 KEY `article_id` (`article_id`),
2719 CONSTRAINT `subjectvivos_ibfk_1` FOREIGN KEY (`subject_id`) REFERENCES `subjects` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
2720 CONSTRAINT `subjectvivos_ibfk_2` FOREIGN KEY (`article_id`) REFERENCES `articles` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
2721) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2722
2723
2724
2725# Dump of table syntheses
2726# ------------------------------------------------------------
2727
2728DROP TABLE IF EXISTS `syntheses`;
2729
2730CREATE TABLE `syntheses` (
2731 `id` int(11) unsigned NOT NULL,
2732 `name` varchar(100) DEFAULT NULL,
2733 PRIMARY KEY (`id`)
2734) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2735
2736LOCK TABLES `syntheses` WRITE;
2737/*!40000 ALTER TABLE `syntheses` DISABLE KEYS */;
2738
2739INSERT INTO `syntheses` (`id`, `name`)
2740VALUES
2741 (0,'Not Reported'),
2742 (1,'Almond Extract-Mediated Synthesis'),
2743 (2,'F. Religiosa Leaf Extract-Mediated Synthesis'),
2744 (3,'Flame Pyrolysis'),
2745 (4,'Furnace, RGB'),
2746 (5,'Nanoparticle Coated Fabrics'),
2747 (6,'NaOH, A. indica, H. rosa-sinensis, M. koenigii, M.'),
2748 (7,'Solvo-Thermal'),
2749 (8,'Wire Explosion'),
2750 (9,'3D-Printer');
2751
2752/*!40000 ALTER TABLE `syntheses` ENABLE KEYS */;
2753UNLOCK TABLES;
2754
2755
2756# Dump of table synthesisship
2757# ------------------------------------------------------------
2758
2759DROP TABLE IF EXISTS `synthesisship`;
2760
2761CREATE TABLE `synthesisship` (
2762 `particle_id` int(11) unsigned NOT NULL,
2763 `synthesis_id` int(11) unsigned DEFAULT NULL,
2764 `adapted` tinyint(1) unsigned zerofill NOT NULL DEFAULT '0',
2765 `notes` varchar(50) DEFAULT NULL,
2766 `updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
2767 PRIMARY KEY (`particle_id`),
2768 KEY `synthesis_id` (`synthesis_id`),
2769 CONSTRAINT `synthesisship_ibfk_1` FOREIGN KEY (`particle_id`) REFERENCES `particles` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
2770 CONSTRAINT `synthesisship_ibfk_2` FOREIGN KEY (`synthesis_id`) REFERENCES `syntheses` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
2771) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2772
2773LOCK TABLES `synthesisship` WRITE;
2774/*!40000 ALTER TABLE `synthesisship` DISABLE KEYS */;
2775
2776INSERT INTO `synthesisship` (`particle_id`, `synthesis_id`, `adapted`, `notes`, `updated`)
2777VALUES
2778 (1,7,0,NULL,'2018-09-23 16:55:30'),
2779 (10,8,0,NULL,'2018-09-23 16:55:30'),
2780 (11,4,0,NULL,'2018-09-23 16:55:30'),
2781 (12,0,0,NULL,'2018-09-23 16:55:30'),
2782 (16,8,0,NULL,'2018-09-23 16:55:30'),
2783 (26,3,0,NULL,'2018-09-23 16:55:30'),
2784 (47,8,0,NULL,'2018-09-23 16:55:30'),
2785 (56,5,0,NULL,'2018-09-23 16:55:30'),
2786 (64,6,0,NULL,'2018-09-23 16:55:30'),
2787 (66,0,0,NULL,'2018-09-23 16:55:30'),
2788 (67,0,0,NULL,'2018-09-23 16:55:30'),
2789 (68,0,0,NULL,'2018-09-23 16:55:30'),
2790 (69,0,0,NULL,'2018-09-23 16:55:30'),
2791 (79,3,0,NULL,'2018-09-23 16:55:30'),
2792 (85,0,0,NULL,'2018-09-23 16:55:30'),
2793 (95,0,0,NULL,'2018-09-23 16:55:30');
2794
2795/*!40000 ALTER TABLE `synthesisship` ENABLE KEYS */;
2796UNLOCK TABLES;
2797
2798
2799# Dump of table timepoints
2800# ------------------------------------------------------------
2801
2802DROP TABLE IF EXISTS `timepoints`;
2803
2804CREATE TABLE `timepoints` (
2805 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2806 `event` varchar(200) DEFAULT NULL,
2807 PRIMARY KEY (`id`)
2808) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2809
2810LOCK TABLES `timepoints` WRITE;
2811/*!40000 ALTER TABLE `timepoints` DISABLE KEYS */;
2812
2813INSERT INTO `timepoints` (`id`, `event`)
2814VALUES
2815 (1,'manufacturer value'),
2816 (2,'24 hours after exposure');
2817
2818/*!40000 ALTER TABLE `timepoints` ENABLE KEYS */;
2819UNLOCK TABLES;
2820
2821
2822# Dump of table toc
2823# ------------------------------------------------------------
2824
2825DROP TABLE IF EXISTS `toc`;
2826
2827CREATE TABLE `toc` (
2828 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2829 `tname` varchar(400) DEFAULT NULL COMMENT 'table name',
2830 `cname` varchar(400) DEFAULT NULL COMMENT 'column name',
2831 `descript` varchar(400) DEFAULT NULL COMMENT 'description/tooltip',
2832 `notes` varchar(400) DEFAULT NULL COMMENT 'general notes about the field',
2833 `future` tinyint(1) DEFAULT NULL COMMENT 'whether or not this is actually implemented in the schema yet',
2834 `example` varchar(50) DEFAULT NULL COMMENT 'placeholder value',
2835 PRIMARY KEY (`id`)
2836) ENGINE=MyISAM DEFAULT CHARSET=latin1 COMMENT='DUPLICATE ROW ENTRIES ARE FOR THE FORM ON THE WEB INTERFACE PLEASE DO NOT REMOVE\n\nThe order value of the form field corresponds to the following sections of the form:\n0-10: meta\n11-20: nano\n21-30: measure\n31-40: subject\n41-50: assay\n51-60: exposure';
2837
2838LOCK TABLES `toc` WRITE;
2839/*!40000 ALTER TABLE `toc` DISABLE KEYS */;
2840
2841INSERT INTO `toc` (`id`, `tname`, `cname`, `descript`, `notes`, `future`, `example`)
2842VALUES
2843 (1,'articles','id','internal article id',NULL,NULL,NULL),
2844 (2,'articles','pubmed','pubmed id',NULL,NULL,NULL),
2845 (3,'articles','doi','DOI',NULL,NULL,NULL),
2846 (4,'articles','title','article title',NULL,NULL,NULL),
2847 (5,'articles','journal','journal name',NULL,NULL,NULL),
2848 (6,'articles','yearp','publication year',NULL,NULL,NULL),
2849 (7,'articles','abstract','plaintext version of abstract',NULL,NULL,NULL),
2850 (8,'articles','updated','date this information (in the articles table) was last updated',NULL,NULL,NULL),
2851 (9,'articles','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',0,NULL),
2852 (10,'articles','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2853 (11,'authors','id','internal author id',NULL,NULL,NULL),
2854 (12,'authors','name','author name (\"lastname firstinitial\")',NULL,NULL,NULL),
2855 (13,'authors','institution','institution the author is associated with',NULL,NULL,NULL),
2856 (14,'authors','country','country the authors institution is associated with',NULL,NULL,NULL),
2857 (15,'authors','department','department the author is associated with',NULL,NULL,NULL),
2858 (16,'authors','updated','date this information (in the authors table) was last updated',NULL,NULL,NULL),
2859 (17,'authors','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2860 (18,'authors','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2861 (21,'assays','id','internal assay id',NULL,NULL,NULL),
2862 (22,'assays','long','assay name',NULL,NULL,NULL),
2863 (23,'assays','short','abbreviated version of assay name',NULL,NULL,NULL),
2864 (24,'assays','subjectype_id','reference to the internal subject type id',NULL,NULL,NULL),
2865 (25,'assays','assaytype_id','reference to the internal assay type id',NULL,NULL,NULL),
2866 (26,'assays','updated','date this information (in the assays table) was last updated',NULL,NULL,NULL),
2867 (27,'assays','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2868 (28,'assays','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2869 (29,'assaytypes','id','internal assay type id',NULL,NULL,NULL),
2870 (30,'assaytypes','type','name of assay type',NULL,NULL,NULL),
2871 (31,'assaytypes','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2872 (32,'assaytypes','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2873 (41,'authorship','article_id','reference to the internal article id ',NULL,NULL,NULL),
2874 (42,'authorship','author_id','reference to the internal author id',NULL,NULL,NULL),
2875 (43,'authorship','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2876 (44,'authorship','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2877 (45,'experiments','id','internal experiment id',NULL,NULL,NULL),
2878 (46,'experiments','article_id','reference to internal article id',NULL,NULL,NULL),
2879 (47,'experiments','particle_id','reference to internal particle id',NULL,NULL,NULL),
2880 (48,'experiments','assay_id','reference to internal assay id',NULL,NULL,NULL),
2881 (50,'experiments','uld50','median leathal dose/concentration upper bound',NULL,NULL,NULL),
2882 (52,'experiments','dur','exposure duration',NULL,NULL,NULL),
2883 (53,'experiments','notes','observations or notes',NULL,NULL,NULL),
2884 (55,'experiments','updated','date this information (in the experiments table) was last updated',NULL,NULL,NULL),
2885 (56,'experiments','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2886 (57,'experiments','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2887 (58,'exposuremethods','id','internal exposure method id',NULL,NULL,NULL),
2888 (59,'exposuremethods','method','exposure method name',NULL,NULL,NULL),
2889 (60,'exposuremethods','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2890 (61,'exposuremethods','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2891 (62,'exposures','id','internal exposure id',NULL,NULL,NULL),
2892 (63,'exposures','experiment_id','reference to internal experiment id',NULL,NULL,NULL),
2893 (64,'exposures','lxconc','exposure concentration lower bound',NULL,NULL,NULL),
2894 (65,'exposures','uxconc','exposure concentration upper bound',NULL,NULL,NULL),
2895 (68,'exposures','postxtime','number of post-exposure sample timepoints',NULL,NULL,NULL),
2896 (69,'exposures','duration','exposure duration (hours)',NULL,NULL,NULL),
2897 (71,'exposures','notes','notes about the exposure',NULL,NULL,NULL),
2898 (72,'exposures','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2899 (73,'exposures','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2900 (74,'keywords','id','internal keyword id',NULL,NULL,NULL),
2901 (75,'keywords','type','name of keyword',NULL,NULL,NULL),
2902 (76,'keywords','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2903 (77,'keywords','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2904 (78,'keywordship','article_id','reference to internal article id',NULL,NULL,NULL),
2905 (79,'keywordship','atype_id','reference to internal keyword id',NULL,NULL,NULL),
2906 (80,'measures','id','id the measurement value is associated with',NULL,NULL,NULL),
2907 (81,'measures','name','name of the quality being measured',NULL,NULL,NULL),
2908 (82,'measures','units','units the measure should be reported in',NULL,NULL,NULL),
2909 (83,'measures','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2910 (84,'measures','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2911 (85,'measurevalues','id','internal measure value id',NULL,NULL,NULL),
2912 (86,'measurevalues','measure_id','refernce to internal measure id',NULL,NULL,NULL),
2913 (87,'measurevalues','particle_id','reference to internal particle id',NULL,NULL,NULL),
2914 (88,'measurevalues','lbound','lower bound of the measured value','if a single value is given for a measurement use the upper bound',NULL,NULL),
2915 (89,'measurevalues','ubound','upper bound of the measured value','if a single value is given for a measurement use the upper bound',NULL,NULL),
2916 (90,'measurevalues','error','reported error for the measured value',NULL,NULL,NULL),
2917 (91,'measurevalues','method','the method that the measurement was obtained',NULL,NULL,NULL),
2918 (92,'measurevalues','conditions','any conditions associated with the measurement',NULL,NULL,NULL),
2919 (93,'measurevalues','timepoint','when this value was measured in relation to the experiment','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2920 (94,'measurevalues','updated','date this information (in the measurevalues table) was last updated',NULL,NULL,NULL),
2921 (95,'measurevalues','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2922 (96,'measurevalues','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2923 (97,'models','id','internal method id',NULL,NULL,NULL),
2924 (99,'models','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2925 (100,'models','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2926 (101,'particles','id','internal particle id',NULL,NULL,NULL),
2927 (102,'particles','article_id','reference to internal article id',NULL,NULL,NULL),
2928 (103,'particles','compound','nanoparticle compound composition',NULL,NULL,NULL),
2929 (104,'particles','core','composition of the nanoparticle\'s core',NULL,NULL,NULL),
2930 (105,'particles','shell','composition of the nanoparticle\'s shell',NULL,NULL,NULL),
2931 (106,'particles','purity','reported purity of the nanoparticle',NULL,NULL,NULL),
2932 (107,'particles','surfacecoat','composition of the nanoparticle\'s surfacecoating',NULL,NULL,NULL),
2933 (108,'particles','shape','shape of the nanoparticle',NULL,NULL,NULL),
2934 (109,'particles','seedvol','seedvolume of the nanoparticle',NULL,NULL,NULL),
2935 (110,'particles','reductpotent','reduction potential of the nanoparticle',NULL,NULL,NULL),
2936 (111,'particles','aspectratio','aspect ratio of the nanoparticle',NULL,NULL,NULL),
2937 (112,'particles','polydisp','polydispersity index number of the nanoparticle',NULL,NULL,NULL),
2938 (113,'particles','abs','absorbtion value of the nanoparticle',NULL,NULL,NULL),
2939 (114,'particles','source_id','reference to internal source id',NULL,NULL,NULL),
2940 (115,'particles','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2941 (116,'particles','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2942 (117,'particles','updated','date this information (in the particles table) was last updated',NULL,NULL,NULL),
2943 (118,'sources','id','internal source id',NULL,NULL,NULL),
2944 (119,'sources','name','supplier / synthesis method',NULL,NULL,NULL),
2945 (121,'sources','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2946 (122,'sources','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2947 (124,'subjects','id','internal subject id',NULL,NULL,NULL),
2948 (125,'subjects','model_id','type the subjec is associated with',NULL,NULL,NULL),
2949 (126,'subjects','species','species of the subject being studied',NULL,NULL,NULL),
2950 (127,'subjects','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2951 (128,'subjects','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2952 (129,'subjects','common','common name of the species being studied',NULL,NULL,NULL),
2953 (130,'subjectvitros','id','internal subject id (of in vitro studies)',NULL,NULL,NULL),
2954 (131,'subjectvitros','article_id','reference to internal article id',NULL,NULL,NULL),
2955 (132,'subjectvitros','subject_id','reference to internal subject id',NULL,NULL,NULL),
2956 (133,'subjectvitros','culturet','culture time (in days)',NULL,NULL,NULL),
2957 (134,'subjectvitros','platesize','the size of the well-plate the study was conducted in',NULL,NULL,NULL),
2958 (135,'subjectvitros','density','the density that the cells were plated at',NULL,NULL,NULL),
2959 (136,'subjectvitros','platetype','type of well-plate',NULL,NULL,NULL),
2960 (137,'subjectvitros','volume','volume of one well (in mL)',NULL,NULL,NULL),
2961 (138,'subjectvitros','surfacearea','surface area of plated cells (in cm2)',NULL,NULL,NULL),
2962 (139,'subjectvitros','regen','regeneration period of the species (in hours)',NULL,NULL,NULL),
2963 (140,'subjectvitros','notes','additional notes about the subject',NULL,NULL,NULL),
2964 (141,'subjectvitros','edited','name of person who last edited this row','this is for future development to preemptively account of CEINT NIK competition',1,NULL),
2965 (142,'subjectvitros','origsource','name/url/some object identifier of where this information originally came from',NULL,1,NULL),
2966 (143,'subjectvitros','updated','date this information (in the subjectvitros table) was last updated',NULL,NULL,NULL),
2967 (149,'models','expmodel','experimental model type',NULL,NULL,NULL);
2968
2969/*!40000 ALTER TABLE `toc` ENABLE KEYS */;
2970UNLOCK TABLES;
2971
2972
2973# Dump of table units
2974# ------------------------------------------------------------
2975
2976DROP TABLE IF EXISTS `units`;
2977
2978CREATE TABLE `units` (
2979 `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
2980 `name` varchar(25) NOT NULL DEFAULT '',
2981 `fullname` varchar(50) DEFAULT NULL,
2982 `base_abbr` varchar(5) DEFAULT NULL,
2983 PRIMARY KEY (`id`)
2984) ENGINE=MyISAM DEFAULT CHARSET=latin1;
2985
2986LOCK TABLES `units` WRITE;
2987/*!40000 ALTER TABLE `units` DISABLE KEYS */;
2988
2989INSERT INTO `units` (`id`, `name`, `fullname`, `base_abbr`)
2990VALUES
2991 (0,'','default',NULL),
2992 (1,'nm','nanometers',NULL),
2993 (2,'mg/L','miligram per liter',NULL),
2994 (3,'ug/mL','microgram per mililiter',NULL),
2995 (4,'ug/cm2','microgram per centimeters squared',NULL),
2996 (5,'mg/kg','miligram per kiligram',NULL),
2997 (6,'particles/cm3','particles per centimeters cubed',NULL),
2998 (7,'m2/g','meters squared per gram',NULL),
2999 (8,'mV','milivolts',NULL),
3000 (9,'%','percent',NULL),
3001 (10,'','unitless',NULL);
3002
3003/*!40000 ALTER TABLE `units` ENABLE KEYS */;
3004UNLOCK TABLES;
3005
3006
3007# Dump of table users
3008# ------------------------------------------------------------
3009
3010DROP TABLE IF EXISTS `users`;
3011
3012CREATE TABLE `users` (
3013 `username` varchar(15) NOT NULL,
3014 `password` varchar(41) NOT NULL,
3015 `name` varchar(45) DEFAULT NULL,
3016 `email` varchar(45) DEFAULT NULL,
3017 `lastvisit` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
3018 `registration` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
3019 PRIMARY KEY (`username`)
3020) ENGINE=MyISAM DEFAULT CHARSET=latin1;
3021
3022LOCK TABLES `users` WRITE;
3023/*!40000 ALTER TABLE `users` DISABLE KEYS */;
3024
3025INSERT INTO `users` (`username`, `password`, `name`, `email`, `lastvisit`, `registration`)
3026VALUES
3027 ('admin','546314ffe505361a0674492f755aa2e5','Carly','carly-hughes@utulsa.edu','2018-07-30 12:07:14','2018-07-19 07:44:25'),
3028 ('Jordan','546314ffe505361a0674492f755aa2e5','Jordan Taylor',NULL,'2018-08-10 04:54:19','2018-08-10 04:54:19'),
3029 ('Lewinski','546314ffe505361a0674492f755aa2e5','Dr. Lewinski',NULL,'2018-08-10 04:54:09','2018-08-10 04:53:50'),
3030 ('Lynn','546314ffe505361a0674492f755aa2e5','Lynn',NULL,'2018-08-11 09:28:53','2018-08-11 09:28:45'),
3031 ('MJ','546314ffe505361a0674492f755aa2e5','MJ',NULL,'2018-08-10 04:54:26','2018-08-10 04:54:26'),
3032 ('student','546314ffe505361a0674492f755aa2e5','Student',NULL,'2018-07-30 12:07:39','2018-07-30 12:07:29');
3033
3034/*!40000 ALTER TABLE `users` ENABLE KEYS */;
3035UNLOCK TABLES;
3036
3037
3038
3039
3040# Replace placeholder table for articles_overview with correct view syntax
3041# ------------------------------------------------------------
3042
3043DROP TABLE `articles_overview`;
3044
3045CREATE ALGORITHM=UNDEFINED DEFINER=`root`@`localhost` SQL SECURITY DEFINER VIEW `articles_overview`
3046AS SELECT
3047 `articles`.`pubmed` AS `pubmed`,
3048 `articles`.`doi` AS `doi`,
3049 `articles`.`title` AS `title`,
3050 `articles`.`journal` AS `journal`,
3051 `articles`.`yearp` AS `yearp`,
3052 `authors`.`authorname` AS `authorname`,
3053 `authors`.`country` AS `country`
3054FROM ((`articles` join `authorship` on((`authorship`.`article_id` = `articles`.`id`))) join `authors` on((`authorship`.`author_id` = `authors`.`id`)));
3055
3056/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
3057/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
3058/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
3059/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
3060/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
3061/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;