cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3640565_d7.v1
title: Additional file 4: Table S3. of Metronomic cyclophosphamide activation of anti-tumor immunity: tumor model, mouse host, and drug schedule dependence of gene responses and their upstream regulators

description: Listing of stringent UPRs induced by CPA treatment in GL261(B6) (Table S3A), LLC (Table S3B), B16F10 (Table S3C), GL261(scid) (Table S3D; CPA/6d treatment), GL261(scid) (Table S3E; CPA/9d treatment), and GL261(scid) tumors (Table S3F; based on genes common to CPA/6d and CPA/9d treatment). (XLSX 287 kb)
DOI: 10.6084/m9.figshare.c.3640565_d8.v1
title: Additional file 11: Table S12. of Metronomic cyclophosphamide activation of anti-tumor immunity: tumor model, mouse host, and drug schedule dependence of gene responses and their upstream regulators

description: Differential gene responses in GL261(scid) tumors induced by CPA/9d or CPA/6d treatment. (XLSX 452 kb)
DOI: 10.6084/m9.figshare.c.3640565_d9.v1
title: Additional file 10: Table S11. of Metronomic cyclophosphamide activation of anti-tumor immunity: tumor model, mouse host, and drug schedule dependence of gene responses and their upstream regulators

description: KEGG pathways enriched in genes commonly or differentially expressed in GL261(B6) and GL261(scid) tumors in response to CPA treatment. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.c.3640565_d10.v1
title: Additional file 13: Table S6. of Metronomic cyclophosphamide activation of anti-tumor immunity: tumor model, mouse host, and drug schedule dependence of gene responses and their upstream regulators

description: Responses to metronomic CPA in responsive tumors compared to unresponsive tumor models. Shown are the differential gene responses, and associated KEGG pathways or DAVID clusters, induced by CPA/6d treatment of GL261(B6) tumors compared to LLC and B16F10 tumors. (XLSX 718 kb)
DOI: 10.6084/m9.figshare.c.3640565_d11.v1
title: Additional file 14: Table S9. of Metronomic cyclophosphamide activation of anti-tumor immunity: tumor model, mouse host, and drug schedule dependence of gene responses and their upstream regulators

description: Gene pathways predictive of treatment prognosis in CPA-treated tumors - We investigated whether gene pathways that may predict treatment outcome can be identified by comparing CPA-treated responsive vs. CPA-treated unresponsive tumors. (XLSX 634 kb)
DOI: 10.6084/m9.figshare.c.3640565_d12.v1
title: Additional file 12: Table S13. of Metronomic cyclophosphamide activation of anti-tumor immunity: tumor model, mouse host, and drug schedule dependence of gene responses and their upstream regulators

description: KEGG pathways and DAVID clusters that are associated with genes preferentially up regulated (&gt;1.33-fold) in GL261(scid) tumors treated with CPA/6d (Table S13A, B) or CPA/9d (Table S13C, D). Also shown (Table S13E) are KEGG pathways enriched in the set of genes expressed at a level 1.5-fold higher level in GL261(scid) tumors treated on the CPA/9d schedule than those treated on CPA/6d schedule. (XLSX 55 kb)
DOI: 10.6084/m9.figshare.c.3640565_d13.v1
title: Additional file 5: Table S4. of Metronomic cyclophosphamide activation of anti-tumor immunity: tumor model, mouse host, and drug schedule dependence of gene responses and their upstream regulators

description: KEGG pathways enriched in genes up regulated or down regulated by CPA treatment in GL261(B6) tumors (Table S4A), LLC tumors (Table S4B), and B16F10 tumors (Table S4C). (XLSX 32 kb)
DOI: 10.6084/m9.figshare.c.3640565_d14.v1
title: Additional file 8: Table S8A-F. of Metronomic cyclophosphamide activation of anti-tumor immunity: tumor model, mouse host, and drug schedule dependence of gene responses and their upstream regulators

description: KEGG pathways and DAVID clusters enriched in genes that are specifically expressed at a higher or a lower level in untreated GL261(B6) tumors when compared to LLC and B16F10 tumors and in the sets of genes that respond to CPA/6d treatment. (XLSX 186 kb)
DOI: 10.6084/m9.figshare.c.3640643_d4.v1
title: Additional file 8: Tabular data 2. of Transcriptome profiling of drought responsive noncoding RNAs and their target genes in rice

description: List of drought responsive miRNAs and their putative target genes and their expression patterns of both under drought conditions. (XLSX 101 kb)
DOI: 10.6084/m9.figshare.c.3640643_d3.v1
title: Additional file 6: Table S3. of Transcriptome profiling of drought responsive noncoding RNAs and their target genes in rice

description: List of miRNAs that are constitutive pattern of high expression and low expression level. 1 Bold in miRNAs ID, rice specific drought responsive miRNAs; 2 RPKM, Reads Per Kilobase of transcript per Million mapped reads; 3 C, control; 4 1d, drought treatment for 1 day; 5 2d, drought treatment for 2 days; 6 3d, drought treatment for 3 days; 7 log2 ratio, log2(drought treatment / control), 8 Red, up-regulation by drought; Blue, down-regulation by drought Abbreviations: At, Arabidopsis thaliana; Bd, Brachypodium distachyon; Gm, Glycine max; Hv, Hordeum vulgare; Mt, Medicago truncatula; Me, Manihot esculenta; Pv, Phaseolus vulgaris; Peu, Populus euphratica; Ptc, Populus trichocarpa; Ppe, Prunus persica; Pte: Populus tremula; Pto, Populus tomentosa; Td, Triticum dicoccoides; Tt, Triticum turgidum; Os, Oryza sativa; Vu, Vigna unguiculata; Zm, Zea mays [10, 15]. (XLSX 24 kb)
DOI: 10.6084/m9.figshare.c.3640643_d5.v1
title: Additional file 1: Table S1. of Transcriptome profiling of drought responsive noncoding RNAs and their target genes in rice

description: Information about the RNA-seq data obtained by Illumina Hi-seq 2500 sequencing. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.c.3640643_d6.v1
title: Additional file 4: Tabular data 1. of Transcriptome profiling of drought responsive noncoding RNAs and their target genes in rice

description: Drought responsive genes and their expression patterns under well-watered and drought conditions. (XLSX 8528 kb)
DOI: 10.6084/m9.figshare.c.3640643_d7.v1
title: Additional file 12: Table S5. of Transcriptome profiling of drought responsive noncoding RNAs and their target genes in rice

description: Primers used for real time-PCR and the stem-loop RT-PCR miRNA assay. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.c.3640643_d9.v1
title: Additional file 10: Tabular data 3. of Transcriptome profiling of drought responsive noncoding RNAs and their target genes in rice

description: List of drought responsive long noncoding RNAs (lncRNAs). (XLSX 529 kb)
DOI: 10.6084/m9.figshare.c.3640643_d10.v1
title: Additional file 7: Table S2. of Transcriptome profiling of drought responsive noncoding RNAs and their target genes in rice

description: Drought responsive precursor miRNAs and their expression patterns under well-watered and drought conditions. 1 Bold in miRNAs ID, rice specific drought responsive miRNAs; 2 RPKM, Reads Per Kilobase of transcript per Million mapped reads; 3 C, control (well-watered conditions); 4 1d, drought treatment for 1 day; 5 2d, drought treatment for 2 days; 6 3d, drought treatment for 3 days; 7 log2 ratio, log2(drought treatment/control); 8 Species, red letter, up-regulation by drought; blue letter, down-regulation by drought; Abbreviations: At, Arabidopsis thaliana; Bd, Brachypodium distachyon; Gm, Glycine max; Hv, Hordeum vulgare; Mt, Medicago truncatula; Me, Manihot esculenta; Os, Oryza sativa; Pv, Phaseolus vulgaris; Peu, Populus euphratica; Ptc, Populus trichocarpa; Ppe, Prunus persica; Pto, Populus tomentosa; Td, Triticum dicoccoides; Tt, Triticum turgidum; Zm, Zea mays [10, 15]. (XLSX 28 kb)
DOI: 10.6084/m9.figshare.c.3640643_d8.v1
title: Additional file 9: Table S4. of Transcriptome profiling of drought responsive noncoding RNAs and their target genes in rice

description: Drought responsive long noncoding RNAs with their neighboring genes and their expression patterns. (XLSX 67 kb)
DOI: 10.6084/m9.figshare.c.3640766_d4.v1
title: MOESM7 of Baseline susceptibility of different European lepidopteran and coleopteran pests to Bt proteins expressed in Bt maize: a systematic review

description: Additional file 7: Table S7. Study quality.
DOI: 10.6084/m9.figshare.c.3640766_d6.v1
title: MOESM2 of Baseline susceptibility of different European lepidopteran and coleopteran pests to Bt proteins expressed in Bt maize: a systematic review

description: Additional file 2: Table S2. All articles after combining searches.
DOI: 10.6084/m9.figshare.c.3640766_d7.v1
title: MOESM6 of Baseline susceptibility of different European lepidopteran and coleopteran pests to Bt proteins expressed in Bt maize: a systematic review

description: Additional file 6: Table S6. Articles after full text screening.
DOI: 10.6084/m9.figshare.c.3640805_d4.v1
title: Additional file 14: of Coordinated inhibition of C/EBP by Tribbles in multiple tissues is essential for Caenorhabditis elegans development

description: Primary data for Figs.Â 3b, c, k and 5b and Figures S4a and S6b. (XLSX 20Â kb)
DOI: 10.15468/dl.bq63e2
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-70.44826 -4.05588,-69.43105 -4.37157,-68.13323 -0.68857,-66.55481 0.78463,-65.74806 3.0295,-67.08095 6.67742,-71.46547 7.94016,-70.55349 11.37763,-70.90425 13.30681,-76.16567 10.78133,-79.25237 1.24062,-75.70968 -0.51319,-73.88572 -2.37223,-71.36024 -2.65284,-71.64085 -3.52974,-70.44826 -4.05588))",
 "TaxonKey is Oxytrigona Cockerell, 1917"
 ]
}

 The dataset includes 196 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038064-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3640868_d4.v1
title: Additional file 4: Table S4. of Creation of reference DNA barcode library and authentication of medicinal plant raw drugs used in Ayurvedic medicine

description: Details of the medicinal plant raw drugs collected and the outcome of authentication by DNA barcoding. (XLS 39 kb)
DOI: 10.6084/m9.figshare.c.3640883_d1.v1
title: Additional file 3 of Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling

description: Abbreviation of metabolites and EC numbers from Figs. 3, 4 and 7. Spreadsheet containing the lists of all abbreviations and EC numbers used in Figs. 3 and 4 separately. (XLSX 22kb)
DOI: 10.6084/m9.figshare.c.3640883_d4.v1
title: Additional file 1 of Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling

description: Supplementary Tables. Table S1. Defined media composition used for the cultivation of M. hyopneumoniae, M. hyorhinis and M. flocculare. Table S2. Complete list of reactions and metabolites from all models. Table S3. List of all metabolites included in the final biomass composition. Table S4. Distribution of GPR associations and exclusive GPR associations by metabolic pathways. Table S5. Proposition of correct precursors and cofactors for a new defined medium. Table S6. NMR metabolomics: Metabolites detected in the complex Friis and Yus+ media for the three swine mycoplasmas. Table S7. Prediction of essential reactions in the pan-network. Table S8. Differential metabolism overview. (XLSX 297 kb)
DOI: 10.6084/m9.figshare.c.3640883_d5.v1
title: Additional file 5 of Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling

description: Models in SBML format. Compressed file (.zip) containing all SBML models from this work (.sbml). (ZIP 407 kb)
DOI: 10.6084/m9.figshare.c.3640889_d1.v1
title: Additional file 5: Table S3. of A natural barrier to lateral gene transfer from prokaryotes to eukaryotes revealed from genomes: the 70Â % rule

description: Annotations of top ten clusters with highest sequence identities for each taxonomic group. (XLSX 40 kb)
DOI: 10.6084/m9.figshare.c.3640889_d4.v1
title: Additional file 6: Table S4. of A natural barrier to lateral gene transfer from prokaryotes to eukaryotes revealed from genomes: the 70Â % rule

description: Annotations of eukaryotic high-identity clades of putative plastid origin. (XLSX 42 kb)
DOI: 10.6084/m9.figshare.c.3640889_d5.v1
title: Additional file 1: Table S1. of A natural barrier to lateral gene transfer from prokaryotes to eukaryotes revealed from genomes: the 70Â % rule

description: List of eukaryotic, bacterial, and archaeal taxa. (XLSX 197 kb)
DOI: 10.6084/m9.figshare.c.3640889_d7.v1
title: Additional file 9: Table S6. of A natural barrier to lateral gene transfer from prokaryotes to eukaryotes revealed from genomes: the 70 % rule

description: List of clades in Fig. 2, Fig. 3, Additional file 3: Figure S2, and Additional file 8: Figure S3. (XLSX 10406 kb)
DOI: 10.6084/m9.figshare.c.3640889_d8.v1
title: Additional file 4: Table S2. of A natural barrier to lateral gene transfer from prokaryotes to eukaryotes revealed from genomes: the 70Â % rule

description: List of taxonomic groups and numbers of singleton and non-singleton high-identity clades (HICs). (XLSX 43 kb)
DOI: 10.6084/m9.figshare.c.3640889_d9.v1
title: Additional file 7: Table S5. of A natural barrier to lateral gene transfer from prokaryotes to eukaryotes revealed from genomes: the 70Â % rule

description: The p values of chi-square tests comparing the numbers of singleton and non-singleton high-identity clades (HICs) between taxonomic groups. (XLSX 55 kb)
DOI: 10.6084/m9.figshare.c.3641003_d1.v1
title: Additional file 2: of Regenerative medicine in China: main progress in different fields

description: Clinical trials about active factors. (XLSX 8Â kb)
DOI: 10.6084/m9.figshare.c.3641003_d2.v1
title: Additional file 1: of Regenerative medicine in China: main progress in different fields

description: Clinical trials about stem cells. (XLSX 8Â kb)
DOI: 10.6084/m9.figshare.c.3641012_d2.v1
title: Additional file 5: of The influence of menstrual cycle and endometriosis on endometrial methylome

description: Pathway analysis of hypo- and hypermethylated genes in endometrial tissue using g:profiler bioinformatics tool. The complete lists of DMRs between different menstrual cycle phases was used to create the list of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.c.3641012_d1.v1
title: Additional file 4: of The influence of menstrual cycle and endometriosis on endometrial methylome

description: Functional annotation clustering of hypo- and hypermethylated genes in endometrial tissue using g:profiler bioinformatics tool. The complete lists of DMRs between different menstrual cycle phases was used to create the lists of Gene Ontology terms. (XLSX 27 kb)
DOI: 10.6084/m9.figshare.c.3641012_d3.v1
title: Additional file 7: of The influence of menstrual cycle and endometriosis on endometrial methylome

description: Menstrual cycle phase specific genes. The list of late-secretory and menstrual phase specific hyper- and hypomethylated genes. (XLSX 28 kb)
DOI: 10.6084/m9.figshare.c.3641012_d5.v1
title: Additional file 2: of The influence of menstrual cycle and endometriosis on endometrial methylome

description: Differentially methylated regions between women with endometriosis and healthy women. The methylation data of all patients was compared to controls. Menstrual cycle day has not been taken into account. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.c.3641012_d7.v1
title: Additional file 3: of The influence of menstrual cycle and endometriosis on endometrial methylome

description: Differentially methylated regions between different menstrual cycle phases. The methylation data of each menstrual cycle phase was compared to other phases. (XLSX 2676 kb)
DOI: 10.6084/m9.figshare.c.3641012_d8.v1
title: Additional file 8: of The influence of menstrual cycle and endometriosis on endometrial methylome

description: PCR primers used in the methylation validation analysis. PCR primers for the bisulfite-treated DNA were designed using MethPrimer[42]. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.c.3641084_d1.v1
title: MOESM4 of Characterization and management of long runs of homozygosity in parental nucleus lines and their associated crossbred progeny

description: Additional file 4. Previously detected QTL based on AnimalQTLdb for regions with high levels of ROH within purebred populations. Description of QTL associations as outlined in AnimalQTLdb for regions with high levels of ROH within purebred populations.
DOI: 10.6084/m9.figshare.c.3641084_d4.v1
title: MOESM2 of Characterization and management of long runs of homozygosity in parental nucleus lines and their associated crossbred progeny

description: Additional file 2. Test_Genotype. This file contains phased genotype information in order to provide an example of how to run the program outlined in Additional file 1. Column one is the animal ID and column 2 is the phased genotype information.
DOI: 10.6084/m9.figshare.c.3641084_d2.v1
title: MOESM3 of Characterization and management of long runs of homozygosity in parental nucleus lines and their associated crossbred progeny

description: Additional file 3. Test_Map. This file contains map information that relates to the Test_Genotype file (i.e. Additional file 2) in order to provide an example of how to run the program outlined in Additional file 1. Column one is the chromosome number and column 2 is nucleotide position.
DOI: 10.6084/m9.figshare.28049846
title: Dichrostachys cinerea raw GC-MS files

description: Metabolite extraction from Dichrostachys cinerea leaf tissue
DOI: 10.6084/m9.figshare.28049846.v1
title: Dichrostachys cinerea raw GC-MS files

description: Metabolite extraction from Dichrostachys cinerea leaf tissue
DOI: 10.6084/m9.figshare.c.3641162_d1.v1
title: MOESM4 of Improved sugar yields from biomass sorghum feedstocks: comparing low-lignin mutants and pretreatment chemistries

description: Additional file 4. R script to calculate overall sugar yields from ASE350 optimal temperature data using NU method.
DOI: 10.6084/m9.figshare.c.3641162_d5.v1
title: MOESM7 of Improved sugar yields from biomass sorghum feedstocks: comparing low-lignin mutants and pretreatment chemistries

description: Additional file 7. R script to calculate overall sugar yields from ASE350 deacetylation data using DE-NL method.
DOI: 10.6084/m9.figshare.c.3641162_d3.v1
title: MOESM3 of Improved sugar yields from biomass sorghum feedstocks: comparing low-lignin mutants and pretreatment chemistries

description: Additional file 3. R script to calculate overall sugar yields from ASE350 optimal temperature data using DE method.
DOI: 10.6084/m9.figshare.c.3641162_d4.v1
title: MOESM6 of Improved sugar yields from biomass sorghum feedstocks: comparing low-lignin mutants and pretreatment chemistries

description: Additional file 6. R script to calculate overall sugar yields from ASE350 deacetylation data using DE-LO method.
DOI: 10.6084/m9.figshare.c.3641162_d7.v1
title: MOESM5 of Improved sugar yields from biomass sorghum feedstocks: comparing low-lignin mutants and pretreatment chemistries

description: Additional file 5. Primary experimental data for ASE350 deacetylation experiments.
DOI: 10.6084/m9.figshare.c.3641162_d6.v1
title: MOESM2 of Improved sugar yields from biomass sorghum feedstocks: comparing low-lignin mutants and pretreatment chemistries

description: Additional file 2. Primary experimental data for ASE350 optimal temperature experiments.
DOI: 10.6084/m9.figshare.c.3641162_d8.v1
title: MOESM8 of Improved sugar yields from biomass sorghum feedstocks: comparing low-lignin mutants and pretreatment chemistries

description: Additional file 8. Primary experimental data for Zipperclave experiments.
DOI: 10.6084/m9.figshare.c.3641162_d9.v1
title: MOESM9 of Improved sugar yields from biomass sorghum feedstocks: comparing low-lignin mutants and pretreatment chemistries

description: Additional file 9. R script to calculate overall sugar yields from Zipperclave data.
DOI: 10.6084/m9.figshare.c.3641291_d1.v1
title: MOESM3 of Quantitative proteomic analysis of the influence of lignin on biofuel production by Clostridium acetobutylicum ATCC 824

description: Additional file 3: Fig. S1. Alterations in relative abundance of protein expressions (iTRAQ ratio representing fold changes) in other metabolic pathways during growth on C and Cl. Table S1. Comparing protein regulations between C (control) and CL at exponential (Exp) and stationary (Sta) phases. Table includes identified proteins, fold change and p value for each comparison.
DOI: 10.6084/m9.figshare.c.3641291_d3.v1
title: MOESM2 of Quantitative proteomic analysis of the influence of lignin on biofuel production by Clostridium acetobutylicum ATCC 824

description: Additional file 2. Proteomic data. The detailed proteomics information included, Phenyx ID, quantification ID and fold changes (iTRAQ ratio; ExpCL vs ExpC, StaCL/StaC, StaC vs ExpC and StaCL vs ExpC) are provided in separate excel file â  Supporting information proteomics iTRAQâ  .
DOI: 10.6084/m9.figshare.c.3641339_d1.v1
title: Additional file 2: Table S2. of Mutation in WDR4 impairs tRNA m7G46 methylation and causes a distinct form of microcephalic primordial dwarfism

description: The SNP calls in the haplotype around the mutation in both probands. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.c.3641339_d2.v1
title: Additional file 1: Table S1. of Mutation in WDR4 impairs tRNA m7G46 methylation and causes a distinct form of microcephalic primordial dwarfism

description: List of survived rare variants observed in each patient after applying the various filters. (XLSX 12 kb)
DOI: 10.5281/zenodo.14510935
title: Data release for "Inferring host-galaxy properties of LIGO-Virgo-KAGRA's black holes"
DOI: 10.5281/zenodo.14510936
title: Data release for "Inferring host-galaxy properties of LIGO-Virgo-KAGRA's black holes"
DOI: 10.15468/dl.y2azmz
title: Occurrence Download

description: A dataset containing 2595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Philortyx fasciatus (Gould, 1844)"
 ]
}

 The dataset includes 2595 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038065-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3641462_d12.v1
title: MOESM11 of Revealing new candidate genes for reproductive traits in pigs: combining Bayesian GWAS and functional pathways

description: Additional file 11: Table S3. Pathway and Gene Ontology terms (GO) of genes associated with significant SNPs identified for SB.
DOI: 10.6084/m9.figshare.c.3641462_d14.v1
title: MOESM13 of Revealing new candidate genes for reproductive traits in pigs: combining Bayesian GWAS and functional pathways

description: Additional file 13: Table S5. Transcription factors (TF) identified for genes associated with SB, location in base pairs (bp) of the window sequence that carries binding sites, and p-value of the window confidence that was obtained from the TFM-explorer tool.
DOI: 10.6084/m9.figshare.c.3641465_d1.v1
title: Additional file 2: Table S2. of Application of dynamic topic models to toxicogenomics data

description: Top 300 genes that represent each topic at 4 time points. (XLSX 166 kb)
DOI: 10.6084/m9.figshare.c.3641465_d2.v1
title: Additional file 4: Table S4. of Application of dynamic topic models to toxicogenomics data

description: Sample clustering results using dynamic tree cut. (XLSX 42 kb)
DOI: 10.6084/m9.figshare.c.3641465_d3.v1
title: Additional file 3: Table S3. of Application of dynamic topic models to toxicogenomics data

description: Functional analysis results for each topic at 4 time points: Fisherâ  s exact test with a p value cut-off of 0.05 was used in KEGG and GO. (XLSX 82 kb)
DOI: 10.6084/m9.figshare.c.3641465_d4.v1
title: Additional file 1: Table S1. of Application of dynamic topic models to toxicogenomics data

description: Information for each topic, including Mode of Action (MoA), therapeutic category, and DILI annotation. (XLSX 29 kb)