cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14913423
title: Additional file 11 of The potential roles of m6A modification in regulating the inflammatory response in microglia

description: Additional file 11:. The 87 m6A lncRNAs of hyper methylation M1-L vs M0-L and hypo methylation M2-L vs M1-L
DOI: 10.6084/m9.figshare.14913447.v1
title: Additional file 6 of The potential roles of m6A modification in regulating the inflammatory response in microglia

description: Additional file 6:. The associated analysis of mRNA expression level and methylation level between M1-L and M0-L
DOI: 10.6084/m9.figshare.14913453
title: Additional file 8 of The potential roles of m6A modification in regulating the inflammatory response in microglia

description: Additional file 8:. The associated analysis of mRNA expression level and methylation level between M2-L and M1-L
DOI: 10.6084/m9.figshare.14913456.v1
title: Additional file 9 of The potential roles of m6A modification in regulating the inflammatory response in microglia

description: Additional file 9:. The up-regulated mRNAs related pathways between M1-L and M0-L
DOI: 10.6084/m9.figshare.14905999.v1
title: Additional file 4 of Comparative analyses of the Hymenoscyphus fraxineus and Hymenoscyphus albidus genomes reveals potentially adaptive differences in secondary metabolite and transposable element repertoires

description: Additional file 4:
DOI: 10.6084/m9.figshare.14913495.v1
title: Additional file 8 of Sex-based clinical and immunological differences in COVID-19

description: Additional file 8: Supplementary Data.
DOI: 10.6084/m9.figshare.14913468
title: Additional file 4 of Bioinformatics integrated analysis to investigate candidate biomarkers and associated metabolites in osteosarcoma

description: Additional file 4: Table S2. The 45 compounds-genes interactions obtained from CTD database.
DOI: 10.6084/m9.figshare.14906002.v1
title: Additional file 5 of Comparative analyses of the Hymenoscyphus fraxineus and Hymenoscyphus albidus genomes reveals potentially adaptive differences in secondary metabolite and transposable element repertoires

description: Additional file 5:
DOI: 10.6084/m9.figshare.14913465.v1
title: Additional file 3 of Bioinformatics integrated analysis to investigate candidate biomarkers and associated metabolites in osteosarcoma

description: Additional file 3: Table S1. Survival data and results for survival analysis of all feature genes.
DOI: 10.6084/m9.figshare.14913471
title: Additional file 5 of Bioinformatics integrated analysis to investigate candidate biomarkers and associated metabolites in osteosarcoma

description: Additional file 5: Table S3. The five KEGG metabolites ID corresponding to these 10 compounds.
DOI: 10.6084/m9.figshare.3761562.v2098
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.3886/e158901
title: Predicting factors of protective behaviors against COVID -19 based on protection motivation theory: A Cross-sectional Study

description: Today, Covid-19 has become a global pandemic. Prevention has so far been described as the best way to break the transmission chain. The present study aimed to determine the predictors of protective behaviors against Covid-19 based on protection motivation theory. In the present cross-sectional study, the participants were 662 residents of Sabzevar city (Iran). Data collection was done by a virtual questionnaire that was distributed through virtual media in non-probable methods (non-probability and snowball). The questionnaire used in this study was the researcher-made that covered demographic questions and protection motivation theory variables. The validity and reliability of the questionnaire were assessed. SPSS23 and independent t-test, Analysis of variance, and linear regression were used for data analysis. The results showed that the variables of response efficacy, perceived rewards, and self-efficacy predicted more than 25% of protection motivation variability. Among these variables, self-efficiency played a more important role than the other variables (Standardized β =0.276). Based on the findings of this study, protection motivation theory could play an important role in predicting the factors affecting the motivation to protect from Covid-19 among people. Therefore, it is suggested that this theory be applied in educational planning to prevent Covid-19 and transmission chain disruption. <br>
DOI: 10.3886/e158901v2
title: Predicting factors of protective behaviors against COVID -19 based on protection motivation theory: A Cross-sectional Study

description: Today, Covid-19 has become a global pandemic. Prevention has so far been described as the best way to break the transmission chain. The present study aimed to determine the predictors of protective behaviors against Covid-19 based on protection motivation theory. In the present cross-sectional study, the participants were 662 residents of Sabzevar city (Iran). Data collection was done by a virtual questionnaire that was distributed through virtual media in non-probable methods (non-probability and snowball). The questionnaire used in this study was the researcher-made that covered demographic questions and protection motivation theory variables. The validity and reliability of the questionnaire were assessed. SPSS23 and independent t-test, Analysis of variance, and linear regression were used for data analysis. The results showed that the variables of response efficacy, perceived rewards, and self-efficacy predicted more than 25% of protection motivation variability. Among these variables, self-efficiency played a more important role than the other variables (Standardized β =0.276). Based on the findings of this study, protection motivation theory could play an important role in predicting the factors affecting the motivation to protect from Covid-19 among people. Therefore, it is suggested that this theory be applied in educational planning to prevent Covid-19 and transmission chain disruption. <br>
DOI: 10.5281/zenodo.5831134
title: Catotricha subobsoleta decontaminated gx

description: .
DOI: 10.5281/zenodo.5831133
title: Catotricha subobsoleta decontaminated gx

description: .
DOI: 10.6084/m9.figshare.18092882
title: Queer FanFic 50

description: A small selection of 50 stories drawn from a random sample of queer fanfic from AO3. This is to be paired with the canonical list of short stories.
DOI: 10.14272/pmedbkgahofnes-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (dimethyl 2-azidobenzene-1,4-dicarboxylate)
title: InChI=1S/C10H9N3O4/c1-16-9(14)6-3-4-7(10(15)17-2)8(5-6)12-13-11/h3-5H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/pmedbkgahofnes-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (dimethyl 2-azidobenzene-1,4-dicarboxylate)
title: InChI=1S/C10H9N3O4/c1-16-9(14)6-3-4-7(10(15)17-2)8(5-6)12-13-11/h3-5H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/pmedbkgahofnes-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (dimethyl 2-azidobenzene-1,4-dicarboxylate)
title: InChI=1S/C10H9N3O4/c1-16-9(14)6-3-4-7(10(15)17-2)8(5-6)12-13-11/h3-5H,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 165.3, 165.1, 140.2, 134.3, 131.7, 126.1, 125.2, 120.7, 52.6, 52.6.
DOI: 10.14272/pmedbkgahofnes-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (dimethyl 2-azidobenzene-1,4-dicarboxylate)
title: InChI=1S/C10H9N3O4/c1-16-9(14)6-3-4-7(10(15)17-2)8(5-6)12-13-11/h3-5H,1-2H3

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/pmedbkgahofnes-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (dimethyl 2-azidobenzene-1,4-dicarboxylate)
title: InChI=1S/C10H9N3O4/c1-16-9(14)6-3-4-7(10(15)17-2)8(5-6)12-13-11/h3-5H,1-2H3

description: dataset for mass spectrometry (MS) MS (EI, 70 eV, 40 °C), m/z (%): 235 (6) [M]+, 207 (49), 204 (15), 149 (100), 136 (79), 120 (19), 117 (10), 106 (11), 92 (12), 89 (12).HRMS–EI (C10H9O4N3) (m/z): [M]+ Calcd 235.0588; Found 235.0586.
DOI: 10.14272/pmedbkgahofnes-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (dimethyl 2-azidobenzene-1,4-dicarboxylate)
title: InChI=1S/C10H9N3O4/c1-16-9(14)6-3-4-7(10(15)17-2)8(5-6)12-13-11/h3-5H,1-2H3

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/pmedbkgahofnes-uhfffaoysa-n.1
title: dimethyl 2-azidobenzene-1,4-dicarboxylate
title: InChI=1S/C10H9N3O4/c1-16-9(14)6-3-4-7(10(15)17-2)8(5-6)12-13-11/h3-5H,1-2H3

description: This dataset contains experimental data from a sample (dimethyl 2-azidobenzene-1,4-dicarboxylate, InChI=1S/C10H9N3O4/c1-16-9(14)6-3-4-7(10(15)17-2)8(5-6)12-13-11/h3-5H,1-2H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT) heteronuclear single quantum coherence (HSQC) heteronuclear multiple bond coherence (HMBC) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/pmedbkgahofnes-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (dimethyl 2-azidobenzene-1,4-dicarboxylate)
title: InChI=1S/C10H9N3O4/c1-16-9(14)6-3-4-7(10(15)17-2)8(5-6)12-13-11/h3-5H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 7.88–7.86 (m, 2H), 7.81–7.78 (m, 1H), 3.95 (s, 3H), 3.92 (s, 3H).
DOI: 10.14272/pmedbkgahofnes-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (dimethyl 2-azidobenzene-1,4-dicarboxylate)
title: InChI=1S/C10H9N3O4/c1-16-9(14)6-3-4-7(10(15)17-2)8(5-6)12-13-11/h3-5H,1-2H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2965 (w), 2140 (vs), 1717 (vs), 1679 (w), 1608 (w), 1565 (w), 1489 (m), 1434 (s), 1397 (s), 1327 (m), 1303 (vs), 1292 (vs), 1266 (s), 1245 (vs), 1190 (vs), 1153 (m), 1136 (s), 1108 (vs), 1074 (vs), 989 (w), 969 (s), 952 (vs), 909 (s), 895 (m), 851 (w), 817 (s), 799 (m), 785 (w), 748 (vs), 711 (s), 690 (m), 660 (m), 558 (m), 528 (w), 514 (m), 452 (w), 442 (w), 411 (s), 377 (w) cm–1.
DOI: 10.6084/m9.figshare.18092858
title: robocrystallographer description

description: Crystal structure descriptions from robocrystallographer package.
DOI: 10.6084/m9.figshare.18092858.v1
title: robocrystallographer description

description: Crystal structure descriptions from robocrystallographer package.
DOI: 10.6084/m9.figshare.18092879
title: element_vectors

description: word embedding vectors for elements of periodic table.
DOI: 10.6084/m9.figshare.18092879.v1
title: element_vectors

description: word embedding vectors for elements of periodic table.
DOI: 10.6084/m9.figshare.18092876
title: space_group_vectors

description: word embedding vectors for all the 230 space groups.
DOI: 10.6084/m9.figshare.18092876.v1
title: space_group_vectors

description: word embedding vectors for all the 230 space groups.
DOI: 10.14272/ocnlxljlhxkfpz-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) ()
title: InChI=1S/C30H18O9/c31-13-22-25(16-1-7-19(8-2-16)28(34)35)23(14-32)27(18-5-11-21(12-6-18)30(38)39)24(15-33)26(22)17-3-9-20(10-4-17)29(36)37/h1-15H,(H,34,35)(H,36,37)(H,38,39)

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/ocnlxljlhxkfpz-uhfffaoysa-n.1
title: 5'-(4-carboxyphenyl)-2',4',6'-triformyl-[1,1':3',1''-terphenyl]-4,4''-dicarboxylic acid
title: InChI=1S/C30H18O9/c31-13-22-25(16-1-7-19(8-2-16)28(34)35)23(14-32)27(18-5-11-21(12-6-18)30(38)39)24(15-33)26(22)17-3-9-20(10-4-17)29(36)37/h1-15H,(H,34,35)(H,36,37)(H,38,39)

description: This dataset contains experimental data from a sample (InChI=1S/C30H18O9/c31-13-22-25(16-1-7-19(8-2-16)28(34)35)23(14-32)27(18-5-11-21(12-6-18)30(38)39)24(15-33)26(22)17-3-9-20(10-4-17)29(36)37/h1-15H,(H,34,35)(H,36,37)(H,38,39)). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT) heteronuclear single quantum coherence (HSQC) heteronuclear multiple bond coherence (HMBC) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/ocnlxljlhxkfpz-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) ()
title: InChI=1S/C30H18O9/c31-13-22-25(16-1-7-19(8-2-16)28(34)35)23(14-32)27(18-5-11-21(12-6-18)30(38)39)24(15-33)26(22)17-3-9-20(10-4-17)29(36)37/h1-15H,(H,34,35)(H,36,37)(H,38,39)

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/ocnlxljlhxkfpz-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C30H18O9/c31-13-22-25(16-1-7-19(8-2-16)28(34)35)23(14-32)27(18-5-11-21(12-6-18)30(38)39)24(15-33)26(22)17-3-9-20(10-4-17)29(36)37/h1-15H,(H,34,35)(H,36,37)(H,38,39)

description: dataset for mass spectrometry (MS) MS (FAB, 3-NBA), m/z (%): 523 (1) [M+1]+, 307 (38), 289 (15), 154 (100), 137 (69), 120 (11), 107 (17), 89 (14).HRMS–FAB (C30H19O9) (m/z): [M + H]+ Calcd 523.1024; Found 523.1025.
DOI: 10.14272/ocnlxljlhxkfpz-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C30H18O9/c31-13-22-25(16-1-7-19(8-2-16)28(34)35)23(14-32)27(18-5-11-21(12-6-18)30(38)39)24(15-33)26(22)17-3-9-20(10-4-17)29(36)37/h1-15H,(H,34,35)(H,36,37)(H,38,39)

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, DMSO-d6 [39.5 ppm], ppm) δ = 192.5 (3C), 166.9 (3C), 144.1 (3C), 139.4 (3C), 135.4 (3C), 130.6 (3C), 130.1 (6C), 128.9 (6C).
DOI: 10.14272/ocnlxljlhxkfpz-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C30H18O9/c31-13-22-25(16-1-7-19(8-2-16)28(34)35)23(14-32)27(18-5-11-21(12-6-18)30(38)39)24(15-33)26(22)17-3-9-20(10-4-17)29(36)37/h1-15H,(H,34,35)(H,36,37)(H,38,39)

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6 [2.50 ppm], ppm) δ = 13.12 (s, 3H), 9.62 (s, 3H), 8.00 (d, J = 8.3 Hz, 6H), 7.52 (d, J = 8.3 Hz, 6H).
DOI: 10.14272/ocnlxljlhxkfpz-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) ()
title: InChI=1S/C30H18O9/c31-13-22-25(16-1-7-19(8-2-16)28(34)35)23(14-32)27(18-5-11-21(12-6-18)30(38)39)24(15-33)26(22)17-3-9-20(10-4-17)29(36)37/h1-15H,(H,34,35)(H,36,37)(H,38,39)

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/ocnlxljlhxkfpz-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C30H18O9/c31-13-22-25(16-1-7-19(8-2-16)28(34)35)23(14-32)27(18-5-11-21(12-6-18)30(38)39)24(15-33)26(22)17-3-9-20(10-4-17)29(36)37/h1-15H,(H,34,35)(H,36,37)(H,38,39)

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2860 (w), 1696 (vs), 1608 (s), 1568 (w), 1543 (m), 1417 (m), 1377 (w), 1315 (m), 1271 (s), 1247 (s), 1228 (s), 1177 (s), 1103 (m), 1017 (w), 1001 (m), 956 (m), 861 (s), 832 (m), 802 (m), 768 (s), 727 (m), 707 (m), 679 (m), 649 (s), 630 (m), 620 (m), 591 (w), 537 (s), 521 (s), 516 (s), 504 (s), 494 (m), 475 (m), 463 (m), 443 (m), 433 (m), 418 (m), 409 (m), 394 (m), 385 (m) cm–1.
DOI: 10.14272/ocnlxljlhxkfpz-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) ()
title: InChI=1S/C30H18O9/c31-13-22-25(16-1-7-19(8-2-16)28(34)35)23(14-32)27(18-5-11-21(12-6-18)30(38)39)24(15-33)26(22)17-3-9-20(10-4-17)29(36)37/h1-15H,(H,34,35)(H,36,37)(H,38,39)

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.5281/zenodo.5831148
title: Delias pasithoe zanfona pass_1

description: Reference: Delias oraia
DOI: 10.5281/zenodo.5831147
title: Delias pasithoe zanfona pass_1

description: Reference: Delias oraia
DOI: 10.5063/f1v12367
title: Data for "Salt marsh restoration surprise: A subordinate species accumulates and shares nitrogen while outcompeting salt marsh dominants" by Morzaria-Luna & Zedler

description: We examined the effect of salt marsh halophyte Triglochin concinna on biomass and N accumulation on the 8-species assemblage of common marsh plain halophytes. Initially, we obtained background 15N values of the eight common salt marsh plain species from a restored marsh. Then, in field and greenhouse experiments, we labeled T. concinna plants using 15N enriched fertilizer and incorporated them into the assemblages with the remaining seven species assemblages. As T. concinna biomass decomposed, we expected a loss of the 15N label and uptake by other species. Transfer of N was measured as 15N movement from T. concinna tissues to other species, and evidenced by an increase in δ15N in marsh plain halophytes' tissue relative to background levels. We assessed uptake of 15N by other plants in the species assemblage after plants had grown 14 months in the field and 13 months in the greenhouse, following senescence of T. concinna. Data includes root and shoot biomass for field and greenhouse experiments, 15N values and plot salinity
DOI: 10.6084/m9.figshare.17695643.v1
title: Phylogeny Files

description: Sequence, alignment and tree files used for the construction of the Species Trees (Validation tree and Final Species Tree represented in Fig.1) and individual protein Trees presented in "The genetic repertoire and regulation of sucrose assimilation in the fructophilic Wickerhamiella/Starmerella yeast clade hint at adaptive diversification".
DOI: 10.6084/m9.figshare.17695643.v2
title: Phylogeny Files

description: Sequence, alignment and tree files used for the construction of the Species Trees (Validation tree and Final Species Tree represented in Fig.1) and individual protein Trees presented in "The genetic repertoire and regulation of sucrose assimilation in the fructophilic Wickerhamiella/Starmerella yeast clade hint at adaptive diversification".
DOI: 10.5281/zenodo.5819210
title: Data from: Multi-image flock size estimation with CountEm: A case study with half a million Common Eiders and Greater Snow Geese.

description: The present data set is related to the manuscript "Multi-image flock size estimation with CountEm: A case study with half a million Common Eiders and Greater Snow Geese" submitted to the Ecosphere journal. The files COEI_data.csv and GSGO_data.csv contain data and results of the 179 COEI and 99 GSGO ECA Flocks images respectively. The files have one row per image. Both files have 9 columns corresponding to the following variables: “Filenumber” is used to identify the number of the corresponding image, namely “001” to “099” for GSGO, and “001” to “179” for COEI. “N”: Total number of annotated birds in the image. “Nest”: Bird number estimation (bN 439 ) obtained with a single real mode CountEm run. “CE_sim”: Empirical coefficient of error (relative standard error, CEe(bN 440 )) obtained from 2000 simulated measurements in simulation mode. “f”: Sampling fraction used in the real mode CountEm run. “n0”: Initial number of quadrats used in the real mode CountEm run. “Q”: Total number of birds (i.e. sample size) counted in the real mode CountEm estimation. “n”: Number of non-empty quadrats counted in the real mode CountEm estimation. “UserTime”: Counting time (in minutes) in the real mode CountEm estimation. “ManualTime”: Counting time (in minutes) of the manual annotation process with ImageJ.
DOI: 10.5281/zenodo.5819209
title: Data from: Multi-image flock size estimation with CountEm: A case study with half a million Common Eiders and Greater Snow Geese.

description: The present data set is related to the manuscript "Multi-image flock size estimation with CountEm: A case study with half a million Common Eiders and Greater Snow Geese" submitted to the Ecosphere journal. The files COEI_data.csv and GSGO_data.csv contain data and results of the 179 COEI and 99 GSGO ECA Flocks images respectively. The files have one row per image. Both files have 9 columns corresponding to the following variables: “Filenumber” is used to identify the number of the corresponding image, namely “001” to “099” for GSGO, and “001” to “179” for COEI. “N”: Total number of annotated birds in the image. “Nest”: Bird number estimation (bN 439 ) obtained with a single real mode CountEm run. “CE_sim”: Empirical coefficient of error (relative standard error, CEe(bN 440 )) obtained from 2000 simulated measurements in simulation mode. “f”: Sampling fraction used in the real mode CountEm run. “n0”: Initial number of quadrats used in the real mode CountEm run. “Q”: Total number of birds (i.e. sample size) counted in the real mode CountEm estimation. “n”: Number of non-empty quadrats counted in the real mode CountEm estimation. “UserTime”: Counting time (in minutes) in the real mode CountEm estimation. “ManualTime”: Counting time (in minutes) of the manual annotation process with ImageJ.
DOI: 10.17632/hzmfshy7hp.1
title: Human GC microarray data 

description: Gastric mucosa samples from antrum, cardia, corpus (major and minor curvature); preneoplastic and neoplastic lesions.