cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2mf1fk
title: CCDC 2425608: Experimental Crystal Structure Determination

description: Related Article: Jiali Wang, Runze Luan, Tianming Liu, Siqing Liu, Yu Du, Weiping Su|2025|Chem.Commun.|61|6526|doi:10.1039/D5CC00821B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3hfp
title: CCDC 2416432: Experimental Crystal Structure Determination

description: Related Article: Lin Yang, Yani Li, Xia Liu, Bohan Li, Yan Xu|2025|Chem.Commun.|61|6619|doi:10.1039/D5CC00749F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3hgq
title: CCDC 2416433: Experimental Crystal Structure Determination

description: Related Article: Lin Yang, Yani Li, Xia Liu, Bohan Li, Yan Xu|2025|Chem.Commun.|61|6619|doi:10.1039/D5CC00749F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3pwb
title: CCDC 2416632: Experimental Crystal Structure Determination

description: Related Article: Lin Yang, Yani Li, Xia Liu, Bohan Li, Yan Xu|2025|Chem.Commun.|61|6619|doi:10.1039/D5CC00749F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25386/genetics.28874663
title: Supplemental Material for Ruse <i>et al</i>., 2025

description: Numerical data (Data S1) and supplemental videos (Videos S1-S3).
DOI: 10.25386/genetics.28874663.v1
title: Supplemental Material for Ruse <i>et al</i>., 2025

description: Numerical data (Data S1) and supplemental videos (Videos S1-S3).
DOI: 10.5517/ccdc.csd.cc2m3pxc
title: CCDC 2416633: Experimental Crystal Structure Determination

description: Related Article: Lin Yang, Yani Li, Xia Liu, Bohan Li, Yan Xu|2025|Chem.Commun.|61|6619|doi:10.1039/D5CC00749F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3pyd
title: CCDC 2416634: Experimental Crystal Structure Determination

description: Related Article: Lin Yang, Yani Li, Xia Liu, Bohan Li, Yan Xu|2025|Chem.Commun.|61|6619|doi:10.1039/D5CC00749F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3pzf
title: CCDC 2416635: Experimental Crystal Structure Determination

description: Related Article: Lin Yang, Yani Li, Xia Liu, Bohan Li, Yan Xu|2025|Chem.Commun.|61|6619|doi:10.1039/D5CC00749F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13144/lil-1628b
title: Base Tous salariés (DSN - DADS) - postes et salariés au 1/12ème (version FPR) - 2021

description: Le millésime 2021 s'inscrit dans la continuité du millésime 2020. Comme en 2020, les données de ce millésime ont été impactées par la crise sanitaire, avec encore un recours important dans certains secteurs au dispositif de chômage partiel (ou activité partielle). Les indemnisations versées par les employeurs à leurs salariés en chômage partiel étant un revenu de remplacement et non un revenu d'activité, les montants ne sont pas inclus dans les salaires habituellement diffusés. Les données couvrent l'ensemble des salariés du secteur privé, du secteur public et les particuliers employeurs. Les fichiers "postes" et "salariés" sont réalisés à partir d'un échantillon au 1/12ème des données individuelles anonymisées issues de l'exploitation statistique des Déclarations Sociales Nominatives (DSN / ex DADS). Ces données permettent l'analyse des emplois et des salaires selon la nature de l'emploi (durée, condition d'emploi, rémunération...), les caractéristiques du salarié (sexe, âge, qualification...) et de l'établissement employeur (secteur d'activité, lieu d'implantation, taille...). Le fichier "postes" comprend 3 827 391 enregistrements et comporte 29 variables décrivant le poste de travail, les caractéristiques individuelles du salarié et quelques informations sur l'employeur provenant du Répertoire des entreprises et des établissements. Le fichier "salariés", comprend 2 403 625 enregistrements et comporte 29 variables. Ce fichier contient les caractéristiques du salarié, de son poste principal, et des données récapitulatives tous postes confondus (rémunérations, heures salariées, total des indemnités de chômage).
DOI: 10.5281/zenodo.15311247
title: Landstuhl Apotheke

description: Historical questionnaire/s  1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot  be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht  veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.15311248
title: Landstuhl Apotheke

description: Historical questionnaire/s  1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot  be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht  veröffentlicht werden dürfen).
DOI: 10.60594/w4b88n
title: Neural Networks for Models of Forward and Inverse Problems in Fire Spread

description: This dataset contains fire spread simulations generated with a physics-driven and data-driven model. The data-driven model is trained with a TensorFlow applied to data generated with the physics-driven model described in the paper titled "A simple model for wildland fire vortex–sink interactions". The data are separated into- A forward problem (forward_problem directory) that predicts fire spread behavior based on fuel and atmospheric properties.- An inverse problem (inverse_problem directory) that predicts fuel and atmospheric properties based on fire spread behavior.Three different networks (CNN, Unet, and FC-Unet) are considered for the forward problem, and one network (CNN-FC) is considered for the inverse problem.This work has been published: Tong, X. & Quaife, B. (2025). Data-driven fire modeling: Learning first arrival times and model parameters with neural networks. Environmental Modelling & Software, 183, 106253.These codes and data are identical to https://github.com/quaife/ML_FAT_data (commit 297de500888b11170df4fec7ba9b79d1be923ecd)
DOI: 10.13144/lil-1707b
title: Base Tous salariés (DSN - DADS) - postes et salariés au 1/12ème (version FPR) - 2022

description: Le millésime 2022 de base Tous salariés s'inscrit dans la continuité du millésime 2021. Il contient, comme les années précédentes, les données de l'année N-1 qui ont été mises à jour avec les dernières évolutions méthodologiques.Les données couvrent l'ensemble des salariés du secteur privé, du secteur public et les particuliers employeurs. Les fichiers "postes" et "salariés" sont réalisés à partir d'un échantillon au 1/12ème des données individuelles anonymisées issues de l'exploitation statistique des Déclarations Sociales Nominatives (DSN / ex DADS). Ces données permettent l'analyse des emplois et des salaires selon la nature de l'emploi (durée, condition d'emploi, rémunération...), les caractéristiques du salarié (sexe, âge, qualification...) et de l'établissement employeur (secteur d'activité, lieu d'implantation, taille...). Le fichier "postes" comprend 3 997 487 enregistrements et comporte 29 variables décrivant le poste de travail, les caractéristiques individuelles du salarié et quelques informations sur l'employeur provenant du Répertoire des entreprises et des établissements. Le fichier "salariés", comprend 2 441 015  enregistrements et comporte 29 variables. Ce fichier contient les caractéristiques du salarié, de son poste principal, et des données récapitulatives tous postes confondus (rémunérations, heures salariées, total des indemnités de chômage).
DOI: 10.15468/dl.erqcz6
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Phyto melanocephala (Meigen, 1824)"
 ]
}

 The dataset includes 335 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008215-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15162814
title: MetaboliteGNN
DOI: 10.5281/zenodo.15162815
title: MetaboliteGNN
DOI: 10.5519/qd.figwl16q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (204 records)
DOI: 10.15468/dl.6x79m4
title: Occurrence Download

description: A dataset listing the 44 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry MULTIPOLYGON(((-3.38252 37.09255,-3.38363 37.09329,-3.38431 37.09352,-3.3846 37.093,-3.38451 37.09273,-3.38365 37.09206,-3.38238 37.09207,-3.38248 37.09252,-3.38248 37.09252,-3.38252 37.09255)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 44 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008202-250426092105405/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.28892438
title: <b>Appendix 1. Statistical Descriptive</b>: Table 1.2 Crosstabulation between Business Sectors and Gender

description: This table provides a structured breakdown of gender distribution across various business sectors. It categorises businesses into five key industries: <b>manufacturing, service provision, retail trade, agriculture and forestry, and food & beverage</b>.<b>Key Observations:</b><br><b>Gender Representation:</b>Women <b>dominate</b> the Service Provision <b>(</b><b>75.7%</b>) and the Food and Beverage <b>(</b><b>71.8%)</b>.Men are more prevalent in agriculture, forestry, and fishing (57.1%) and manufacturing (<b>41.0%</b>).Retail trade shows a moderate gender gap, with women comprising <b>63.6%</b>.<b>Business Sector Distribution by Gender:</b>Women are primarily concentrated in the food and beverage industry (<b>59.1%</b>) and manufacturing (<b>25.6%</b>).Men are primarily found in manufacturing (<b>37.4%</b>) and the food and beverage industry (<b>49.0%</b>).Agriculture remains a <b>small niche</b> for both men and women.<b>Overall Trend:</b>Women make up <b>67.8%</b> of business owners, while men account for <b>32.2%</b> across all sectors.The <b>food & beverage</b> sector is the most significant in overall business distribution.<b>Potential Insights:</b><b>Policy Implications:</b> Might indicate the need for gender-focused business incentives.<b>Entrepreneurship Trends:</b> Women tend to dominate service-based industries, while men are more likely to lean toward production-related sectors.<b>Future Studies:</b> Could explore profitability differences by gender in each sector.
DOI: 10.6084/m9.figshare.28892438.v2
title: <b>Appendix 1. Statistical Descriptive</b>: Table 1.2 Crosstabulation between Business Sectors and Gender

description: This table provides a structured breakdown of gender distribution across various business sectors. It categorises businesses into five key industries: <b>manufacturing, service provision, retail trade, agriculture and forestry, and food & beverage</b>.<b>Key Observations:</b><br><b>Gender Representation:</b>Women <b>dominate</b> the Service Provision <b>(</b><b>75.7%</b>) and the Food and Beverage <b>(</b><b>71.8%)</b>.Men are more prevalent in agriculture, forestry, and fishing (57.1%) and manufacturing (<b>41.0%</b>).Retail trade shows a moderate gender gap, with women comprising <b>63.6%</b>.<b>Business Sector Distribution by Gender:</b>Women are primarily concentrated in the food and beverage industry (<b>59.1%</b>) and manufacturing (<b>25.6%</b>).Men are primarily found in manufacturing (<b>37.4%</b>) and the food and beverage industry (<b>49.0%</b>).Agriculture remains a <b>small niche</b> for both men and women.<b>Overall Trend:</b>Women make up <b>67.8%</b> of business owners, while men account for <b>32.2%</b> across all sectors.The <b>food & beverage</b> sector is the most significant in overall business distribution.<b>Potential Insights:</b><b>Policy Implications:</b> Might indicate the need for gender-focused business incentives.<b>Entrepreneurship Trends:</b> Women tend to dominate service-based industries, while men are more likely to lean toward production-related sectors.<b>Future Studies:</b> Could explore profitability differences by gender in each sector.
DOI: 10.6084/m9.figshare.28892438.v1
title: Crosstabulation of Medan MSMEs Business Sectors: The Government of Medan Survey Data 2023

description: The data in this crosstabulation originates from a survey conducted by the Medan city administration in 2023. This crosstabulation presents a comparison of the genders of MSME entrepreneurs and the business sectors in which they operate.
DOI: 10.15468/dl.w3h57s
title: Occurrence Download

description: A dataset containing 1179036 records in GBIF matching the query:
SELECT PRINTF('%04d-%02d', "year", "month") AS yearMonth, GBIF_EEARGCode(10000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 10000)) AS eeaCellCode, basisOfRecord, datasetKey, countryCode, speciesKey, species, family, class, COUNT(*) AS occurrences FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND continent = 'EUROPE' AND speciesKey IN (2978552, 2489005, 3190653, 2498252, 3084923, 2340977, 2706080, 2502792, 3170247, 2440934, 3129663, 2882443, 2437394, 2437399, 3189935, 5828232, 4284921, 2704521, 2482499, 2702865, 5329212, 2225776, 8909595, 8979506, 8971201, 5712056, 2350580, 2350570, 2984306, 6063677, 7287606, 3034825, 3628745, 3642949, 2984537, 7978544, 2891770, 8848208, 2865565, 9799308, 2394486, 8114276, 5855350, 2427091, 5421039, 5420991, 2650436, 2869311, 5289808, 2394604, 2440946, 4264680, 5361785, 5361762, 2433536, 5358460, 2434552, 5219858, 2498305, 2226990, 3086784, 2390064, 4033648, 2870583, 7965247, 2765942, 2227300, 9442269, 5218786, 2362868, 2977647, 2486131, 5824863, 5274863, 5219681, 5219683, 5035187, 5035230, 5035017, 2437450, 2480764, 2443002, 3054399, 6164088, 6247411, 1315391, 5217334) AND occurrence.hasgeospatialissues = FALSE AND hasCoordinate = TRUE AND (coordinateUncertaintyInMeters &lt;= 10000 OR coordinateUncertaintyInMeters IS NULL) AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND (identificationVerificationStatus IS NULL OR NOT (LOWER(identificationVerificationStatus) LIKE '%unverified%' OR LOWER(identificationVerificationStatus) LIKE '%unvalidated%' OR LOWER(identificationVerificationStatus) LIKE '%not able to validate%' OR LOWER(identificationVerificationStatus) LIKE '%control could not be conclusive due to Insufficient knowledge%' OR LOWER(identificationVerificationStatus) LIKE '%unconfirmed%' OR LOWER(identificationVerificationStatus) LIKE '%unconfirmed - not reviewed%' OR LOWER(identificationVerificationStatus) LIKE '%validation requested%')) AND "month" IS NOT NULL AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE) AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL) AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN') AND occurrence.occurrencestatus = 'PRESENT' AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE) GROUP BY yearMonth, eeaCellCode, basisOfRecord, datasetKey, countryCode, speciesKey, species, family, class ORDER BY yearMonth DESC, eeaCellCode ASC, countryCode ASC

 The dataset's 1179036 records were derived from 4375 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008198-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpfrtl
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004789-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvddpk
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001578-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdnpwc
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048523-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwa5tu
title: Occurrence Download

description: A dataset containing 984 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "TaxonKey is Bitis arietans Merrem, 1820"
 ]
}

 The dataset includes 984 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073913-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc1opz
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001571-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjcpg3
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004765-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aiqvm1
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001630-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wentvy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004794-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.449ze4
title: Occurrence Download

description: A dataset containing 1150879977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2020"
 ]
}

 The dataset includes 1150879977 records from 16220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074676-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.