cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/aqysaxxlchfegv-qzqoticosa-n/chmo0000596.2
title: distortionless enhancement with polarization transfer (DEPT) (1-benzyl-5-[(E)-[di(propan-2-yl)amino]diazenyl]pyrazole-4-carbonitrile)
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-20-17-16(10-18)11-19-22(17)12-15-8-6-5-7-9-15/h5-9,11,13-14H,12H2,1-4H3/b21-20+

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/aqysaxxlchfegv-qzqoticosa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (1-benzyl-5-[(E)-[di(propan-2-yl)amino]diazenyl]pyrazole-4-carbonitrile)
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-20-17-16(10-18)11-19-22(17)12-15-8-6-5-7-9-15/h5-9,11,13-14H,12H2,1-4H3/b21-20+

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/aonllywwgoimlr-xutluupisa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) ()
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-19-17-16(10-18)12-22(20-17)11-15-8-6-5-7-9-15/h5-9,12-14H,11H2,1-4H3/b21-19+

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/aonllywwgoimlr-xutluupisa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-19-17-16(10-18)12-22(20-17)11-15-8-6-5-7-9-15/h5-9,12-14H,11H2,1-4H3/b21-19+

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 7.62 (s, 1H), 7.41–7.29 (m, 5H), 5.42 (sept, J = 6.8 Hz, 1H), 5.24 (s, 2H), 4.03 (sept, J = 6.6 Hz, 1H), 1.45 (d, J = 6.6 Hz, 6H), 1.25 (d, J = 6.8 Hz, 6H).
DOI: 10.14272/aqysaxxlchfegv-qzqoticosa-n/chmo0000630.1
title: infrared absorption spectroscopy (IR) (1-benzyl-5-[(E)-[di(propan-2-yl)amino]diazenyl]pyrazole-4-carbonitrile)
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-20-17-16(10-18)11-19-22(17)12-15-8-6-5-7-9-15/h5-9,11,13-14H,12H2,1-4H3/b21-20+

description: dataset for infrared absorption spectroscopy (IR)
 
 IR (ATR, ṽ) = 3112 (vw), 3033 (vw), 2987 (w), 2975 (w), 2941 (w), 2873 (vw), 2220 (s), 1533 (m), 1494 (w), 1466 (w), 1455 (m), 1441 (w), 1419 (vs), 1391 (m), 1375 (vs), 1363 (vs), 1313 (w), 1272 (s), 1238 (vs), 1211 (s), 1164 (m), 1132 (m), 1105 (vs), 1078 (w), 1038 (w), 1026 (vs), 983 (w), 963 (w), 945 (w), 935 (w), 909 (w), 884 (s), 851 (w), 813 (w), 785 (m), 724 (vs), 710 (s), 691 (vs), 666 (w), 630 (w), 615 (w), 595 (w), 567 (w), 550 (m), 533 (s), 516 (w), 458 (w), 450 (w), 421 (w), 385 (w) cm–1.
DOI: 10.14272/aonllywwgoimlr-xutluupisa-n/chmo0000596.2
title: distortionless enhancement with polarization transfer (DEPT) ()
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-19-17-16(10-18)12-22(20-17)11-15-8-6-5-7-9-15/h5-9,12-14H,11H2,1-4H3/b21-19+

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.6084/m9.figshare.23820004.v1
title: Additional file 2 of Drivers of plateau adaptability in cashmere goats revealed by genomic and transcriptomic analyses

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.23820013.v1
title: Additional file 4 of Drivers of plateau adaptability in cashmere goats revealed by genomic and transcriptomic analyses

description: Supplementary Material 4
DOI: 10.14272/aqysaxxlchfegv-qzqoticosa-n/chmo0000596.3
title: distortionless enhancement with polarization transfer (DEPT) (1-benzyl-5-[(E)-[di(propan-2-yl)amino]diazenyl]pyrazole-4-carbonitrile)
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-20-17-16(10-18)11-19-22(17)12-15-8-6-5-7-9-15/h5-9,11,13-14H,12H2,1-4H3/b21-20+

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/aqysaxxlchfegv-qzqoticosa-n/chmo0000595.1
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1-benzyl-5-[(E)-[di(propan-2-yl)amino]diazenyl]pyrazole-4-carbonitrile)
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-20-17-16(10-18)11-19-22(17)12-15-8-6-5-7-9-15/h5-9,11,13-14H,12H2,1-4H3/b21-20+

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 154.6 (Cq), 142.3 (CH), 136.3 (Cq), 128.6 (CH, 2C), 127.8 (CH), 127.7 (CH, 2C), 115.8 (Cq), 77.7 (Cq), 52.1 (CH2), 51.3 (CH), 48.0 (CH), 23.1 (CH3, 2C), 18.8 (CH3, 2C).
DOI: 10.14272/aonllywwgoimlr-xutluupisa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) ()
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-19-17-16(10-18)12-22(20-17)11-15-8-6-5-7-9-15/h5-9,12-14H,11H2,1-4H3/b21-19+

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/aonllywwgoimlr-xutluupisa-n/chmo0000470.1
title: mass spectrometry (MS) ()
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-19-17-16(10-18)12-22(20-17)11-15-8-6-5-7-9-15/h5-9,12-14H,11H2,1-4H3/b21-19+

description: dataset for mass spectrometry (MS)
 
 MS (EI, 70 eV, 120 °C), m/z (%): 310 (52) [M]+, 267 (16), 210 (100), 155 (16), 100 (45), 91 (86), 58 (16).HRMS–EI (C17H22N6) (m/z): [M]+ Calcd 310.1900; Found 310.1899.
DOI: 10.14272/aonllywwgoimlr-xutluupisa-n/chmo0000630.1
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-19-17-16(10-18)12-22(20-17)11-15-8-6-5-7-9-15/h5-9,12-14H,11H2,1-4H3/b21-19+

description: dataset for infrared absorption spectroscopy (IR)
 
 IR (ATR, ṽ) = 3128 (vw), 3112 (vw), 3061 (vw), 3033 (vw), 2975 (w), 2963 (w), 2932 (w), 2874 (vw), 2218 (m), 1538 (s), 1496 (vw), 1456 (w), 1448 (w), 1414 (vs), 1367 (s), 1353 (m), 1259 (vs), 1227 (s), 1207 (w), 1187 (w), 1154 (vs), 1132 (w), 1101 (m), 1081 (w), 1031 (m), 1007 (w), 948 (vw), 911 (w), 885 (vw), 840 (w), 820 (w), 805 (w), 752 (m), 720 (w), 707 (vs), 677 (w), 645 (w), 632 (w), 591 (w), 555 (w), 534 (m), 467 (w), 418 (vw), 375 (w) cm–1.
DOI: 10.14272/aqysaxxlchfegv-qzqoticosa-n/chmo0000470
title: mass spectrometry (MS) (1-benzyl-5-[(E)-[di(propan-2-yl)amino]diazenyl]pyrazole-4-carbonitrile)
title: InChI=1S/C17H22N6/c1-13(2)23(14(3)4)21-20-17-16(10-18)11-19-22(17)12-15-8-6-5-7-9-15/h5-9,11,13-14H,12H2,1-4H3/b21-20+

description: dataset for mass spectrometry (MS)
 
 MS (EI, 70 eV, 90 °C), m/z (%): 310 (100) [M]+, 210 (43), 100 (44), 91 (68), 58 (14).HRMS–EI (C17H22N6) (m/z): [M]+ Calcd 310.1900; Found 310.1902.
DOI: 10.6084/m9.figshare.19101567
title: Additional file 9 of Genome-wide analysis of TALE superfamily in Triticum aestivum reveals TaKNOX11-A is involved in abiotic stress response

description: Additional file 9: Table S9. The basic information of 70 wheat TALE genes.
DOI: 10.5281/zenodo.10656969
title: 1.5 Degree Lifestyles

description: The "1.5 degree compatible living in the Nordic conditions: attitudes, lifestyles and carbon footprints" project was a carbon footprint calculator survey that was distributed between the autumn of 2021 and the spring of 2022 in the Nordic countries of Denmark, Finland, Iceland, Norway, and Sweden. The survey was mostly distributed through social media, and used the services of an online marketing company. The only requirement to take the survey was to be a resident of one of the Nordic countries mentioned above and to be an adult who participated in the household finances. The survey received 13,924 responses and after removing the duplicate responses (participants who took the survey more than once), incomplete surveys, and the top and bottom 0.5% carbon footprints to exclude any cases where respondents may have greatly over or underestimated their consumption, the number of responses was 7,359.  The survey was administered by the  University of Iceland (https://carbonfootprint.hi.is/) and was funded by the Icelandic Center for Research RANNÍS (grant number 207195-052).To estimate the carbon footprints of the respondents, the survey consisted of a multitude of questions about the respondents' consumption over the past year. The survey also had questions to gather data on climate concern, pro-climate actions, self reported well-being, and other sociodemographic variables. The carbon footprints of the respondents were calculated using a hybrid assessment model with the majority of emissions calculated with process LCA data, and the rest with the Exiobase IO model for determining the emissions resulting from the consumption of goods and services. The carbon footprints were divided into eight domains including: diet, housing energy, private vehicle ownership and use, public transport use, leisure travel, goods and services, pets, and second homes. The footprints are calculated on a per capita basis, but the domains of housing energy, private vehicle ownership and use, pets, and second homes are considered shared domains and the total emissions resulting from these domain is divided by the number of people reported living in the household. Full details on how the carbon footprints were calculated can be seen in: Heinonen, J., Olson, S., Czepkiewicz, M., Árnadóttir, Á. & Ottelin, J. 2022. Too much consumption or too high emissions intensities? Explaining the high consumption-based carbon footprints in the Nordic countries. Environmental Research Communications.To protect the anonymity of the respondents, we removed the location coordinates of the residents and also the personal income information.Contact information: Dr. Jukka Heinonen, University of Iceland, email: heinonen@hi.is
DOI: 10.5281/zenodo.10656970
title: 1.5 Degree Lifestyles

description: The "1.5 degree compatible living in the Nordic conditions: attitudes, lifestyles and carbon footprints" project was a carbon footprint calculator survey that was distributed between the autumn of 2021 and the spring of 2022 in the Nordic countries of Denmark, Finland, Iceland, Norway, and Sweden. The survey was mostly distributed through social media, and used the services of an online marketing company. The only requirement to take the survey was to be a resident of one of the Nordic countries mentioned above and to be an adult who participated in the household finances. The survey received 13,924 responses and after removing the duplicate responses (participants who took the survey more than once), incomplete surveys, and the top and bottom 0.5% carbon footprints to exclude any cases where respondents may have greatly over or underestimated their consumption, the number of responses was 7,359.  The survey was administered by the  University of Iceland (https://carbonfootprint.hi.is/) and was funded by the Icelandic Center for Research RANNÍS (grant number 207195-052).To estimate the carbon footprints of the respondents, the survey consisted of a multitude of questions about the respondents' consumption over the past year. The survey also had questions to gather data on climate concern, pro-climate actions, self reported well-being, and other sociodemographic variables. The carbon footprints of the respondents were calculated using a hybrid assessment model with the majority of emissions calculated with process LCA data, and the rest with the Exiobase IO model for determining the emissions resulting from the consumption of goods and services. The carbon footprints were divided into eight domains including: diet, housing energy, private vehicle ownership and use, public transport use, leisure travel, goods and services, pets, and second homes. The footprints are calculated on a per capita basis, but the domains of housing energy, private vehicle ownership and use, pets, and second homes are considered shared domains and the total emissions resulting from these domain is divided by the number of people reported living in the household. Full details on how the carbon footprints were calculated can be seen in: Heinonen, J., Olson, S., Czepkiewicz, M., Árnadóttir, Á. & Ottelin, J. 2022. Too much consumption or too high emissions intensities? Explaining the high consumption-based carbon footprints in the Nordic countries. Environmental Research Communications.To protect the anonymity of the respondents, we removed the location coordinates of the residents and also the personal income information.Contact information: Dr. Jukka Heinonen, University of Iceland, email: heinonen@hi.is
DOI: 10.6084/m9.figshare.23820001
title: Additional file 1 of Drivers of plateau adaptability in cashmere goats revealed by genomic and transcriptomic analyses

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23820013
title: Additional file 4 of Drivers of plateau adaptability in cashmere goats revealed by genomic and transcriptomic analyses

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.19101522.v1
title: Additional file 12 of Genome-wide analysis of TALE superfamily in Triticum aestivum reveals TaKNOX11-A is involved in abiotic stress response

description: Additional file 12: Table S12. List of the 20 identified motifs in wheat TALE proteins.
DOI: 10.14272/ssaxaaxodloite-buhfosprsa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C10H19N5/c1-7(2)15(8(3)4)14-13-10-6-9(5)11-12-10/h6-8H,1-5H3,(H,11,12)/b14-13+

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 158.4, 143.9, 93.2, 48.8, 45.9, 23.8 (2C), 19.2 (2C), 12.4. Impurities: This spectrum contains impurities at 101.2 ppm and 13.4 ppm due to an unknown by-product.
DOI: 10.14272/ssaxaaxodloite-buhfosprsa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C10H19N5/c1-7(2)15(8(3)4)14-13-10-6-9(5)11-12-10/h6-8H,1-5H3,(H,11,12)/b14-13+

description: dataset for infrared absorption spectroscopy (IR)
 
 IR (ATR, ṽ) = 3196 (w), 3145 (w), 3101 (w), 3027 (w), 2975 (m), 2929 (m), 2867 (m), 2769 (w), 1594 (w), 1468 (m), 1422 (vs), 1397 (vs), 1378 (m), 1363 (vs), 1309 (s), 1247 (vs), 1221 (vs), 1174 (w), 1156 (vs), 1126 (vs), 1098 (w), 1035 (m), 1021 (vs), 1007 (m), 908 (m), 877 (m), 853 (s), 840 (s), 768 (s), 734 (w), 707 (w), 662 (w), 548 (m), 521 (m), 496 (w), 412 (w) cm–1.
DOI: 10.14272/ssaxaaxodloite-buhfosprsa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C10H19N5/c1-7(2)15(8(3)4)14-13-10-6-9(5)11-12-10/h6-8H,1-5H3,(H,11,12)/b14-13+

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 8.93 (br, s, 1H), 6.01 (s, 1H), 5.29 (ps, 1H), 3.98 (ps, 1H), 2.31 (s, 3H), 1.36–1.17 (m, 12H).Impurities: This spectrum contains impurities at 6.31 ppm and 2.50 ppm due to an unknown by-product.
DOI: 10.14272/ssaxaaxodloite-buhfosprsa-n.1
title: (E)-3-(3,3-diisopropyltriaz-1-en-1-yl)-5-methyl-1H-pyrazole
title: InChI=1S/C10H19N5/c1-7(2)15(8(3)4)14-13-10-6-9(5)11-12-10/h6-8H,1-5H3,(H,11,12)/b14-13+

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C10H19N5/c1-7(2)15(8(3)4)14-13-10-6-9(5)11-12-10/h6-8H,1-5H3,(H,11,12)/b14-13+, and canonical SMILES descriptor[cheminf_000007]: CC(N(C(C)C)/N=N/c1n[nH]c(c1)C)C, and by the IUPAC name[cheminf_000107]: .
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-20661

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 125.6 - 150.2 (°C)
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000470 | mass spectrometry (MS)
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/ssaxaaxodloite-buhfosprsa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C10H19N5/c1-7(2)15(8(3)4)14-13-10-6-9(5)11-12-10/h6-8H,1-5H3,(H,11,12)/b14-13+

description: dataset for mass spectrometry (MS)
 
 MS (EI, 70 eV, 50 °C), m/z (%): 209 (98) [M]+, 109 (100), 100 (72), 86 (76), 81 (20), 58 (58), 54 (61).HRMS–EI (C10H19N5) (m/z): [M]+ Calcd 209.1635; Found 209.1635.
DOI: 10.6084/m9.figshare.23820016.v1
title: Additional file 5 of Drivers of plateau adaptability in cashmere goats revealed by genomic and transcriptomic analyses

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.19101516.v1
title: Additional file 10 of Genome-wide analysis of TALE superfamily in Triticum aestivum reveals TaKNOX11-A is involved in abiotic stress response

description: Additional file 10: Table S10. Homoeologous TALE genes in wheat.
DOI: 10.6084/m9.figshare.19101519
title: Additional file 11 of Genome-wide analysis of TALE superfamily in Triticum aestivum reveals TaKNOX11-A is involved in abiotic stress response

description: Additional file 11: Table S11. The Ka/Ks ratios of duplicated TALE gene pairs in wheat and other plants.
DOI: 10.6084/m9.figshare.19101531
title: Additional file 15 of Genome-wide analysis of TALE superfamily in Triticum aestivum reveals TaKNOX11-A is involved in abiotic stress response

description: Additional file 15: Table S15. GO annotation of TALE genes in wheat. The annotation was performed on three categories, (a) biological process, (b) molecular function and (c) cellular component.
DOI: 10.6084/m9.figshare.23820016
title: Additional file 5 of Drivers of plateau adaptability in cashmere goats revealed by genomic and transcriptomic analyses

description: Supplementary Material 5
DOI: 10.15468/dl.3xynrf
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polystichum meijerdreesii Copel."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081412-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2g6rud
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Protomegabaria meiocarpa J.Léonard"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081413-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afrnzd
title: Occurrence Download

description: A dataset containing 2998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON Z((3.79207 44.34252 0,3.79753 44.33876 0,3.80173 44.33887 0,3.80216 44.33885 0,3.81312 44.33894 0,3.81437 44.33847 0,3.81704 44.33732 0,3.83118 44.3332 0,3.83735 44.33901 0,3.83852 44.34346 0,3.83771 44.34726 0,3.83916 44.35261 0,3.84216 44.35311 0,3.84365 44.35402 0,3.84456 44.35507 0,3.84601 44.35539 0,3.84593 44.35781 0,3.84584 44.36016 0,3.84631 44.36417 0,3.84772 44.36985 0,3.84634 44.3729 0,3.83908 44.37144 0,3.82656 44.36905 0,3.82331 44.36769 0,3.82139 44.36686 0,3.81876 44.36637 0,3.81499 44.36529 0,3.81481 44.36515 0,3.81055 44.36505 0,3.80514 44.36608 0,3.80529 44.36813 0,3.80381 44.36873 0,3.79971 44.36758 0,3.79424 44.36786 0,3.78729 44.36666 0,3.77912 44.36598 0,3.77659 44.36353 0,3.76951 44.36397 0,3.78052 44.35596 0,3.78835 44.3492 0,3.78805 44.34693 0,3.79207 44.34252 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2998 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081411-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryvz5y
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaenomeles speciosa (Sweet) Nakai",
 "Country is China",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 400 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081414-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gvcjy
title: Occurrence Download

description: A dataset containing 267663 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Cerastium glomeratum Thuill.)"
 ]
}

 The dataset includes 267663 records from 2178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081371-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.1006597
title: Vc40429 Million Mutation Project Strain | 2016-02-18T14:35:57+00:00

description: This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org



<b>preview link</b> : https://www.youtube.com/watch?v=LOl24JciJr4
<b>strain</b> : VC40429
<b>timestamp</b> : 2016-02-18T14:35:57+00:00
<b>gene</b> : -N/A-
<b>chromosome</b> : -N/A-
<b>allele</b> : -N/A-
<b>strain_description</b> : Million Mutation Project strain
<b>sex</b> : hermaphrodite
<b>stage</b> : adult
<b>ventral_side</b> : clockwise
<b>media</b> : NGM agar low peptone
<b>arena</b> :   
  <b>style</b> : petri
  <b>size</b> : 35
  <b>orientation</b> : away
  

<b>food</b> : OP50
<b>habituation</b> : 30m wait
<b>who</b> : Laura Grundy
<b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.
<b>lab</b> :   
  <b>name</b> : William R Schafer
  <b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK
  

<b>software</b> :   
  <b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)
  <b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219
  <b>featureID</b> : @OMG
  

<b>base_name</b> : VC40429 on food L_2016_02_18__14_35_57___4___1
<b>total time (s)</b> : 899.0
<b>frames per second</b> : 30.03
<b>video micrometers per pixel</b> : 6.21293
<b>number of segmented skeletons</b> : 25550