cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc5bvlx
title: CCDC 159389: Experimental Crystal Structure Determination

description: Related Article: T.Groer, M.Scheer|2000|Organometallics|19|3683|doi:10.1021/om000372g
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/cc5bvmy
title: CCDC 159390: Experimental Crystal Structure Determination

description: Related Article: T.Groer, M.Scheer|2000|Organometallics|19|3683|doi:10.1021/om000372g
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/cc5bvnz
title: CCDC 159391: Experimental Crystal Structure Determination

description: Related Article: T.Groer, M.Scheer|2000|Organometallics|19|3683|doi:10.1021/om000372g
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/cc5bvp0
title: CCDC 159392: Experimental Crystal Structure Determination

description: Related Article: T.Groer, M.Scheer|2000|Organometallics|19|3683|doi:10.1021/om000372g
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/cc5bvq1
title: CCDC 159393: Experimental Crystal Structure Determination

description: Related Article: T.Groer, M.Scheer|2000|Organometallics|19|3683|doi:10.1021/om000372g
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/cc5bvr2
title: CCDC 159394: Experimental Crystal Structure Determination

description: Related Article: T.Groer, M.Scheer|2000|Organometallics|19|3683|doi:10.1021/om000372g
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/cc4myqd
title: CCDC 138344: Experimental Crystal Structure Determination

description: Related Article: J.Cancela, M.J.G.Garmendia, M.Quiros|2001|Inorg.Chim.Acta|313|156|doi:10.1016/S0020-1693(00)00373-X
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/cc5bvs3
title: CCDC 159395: Experimental Crystal Structure Determination

description: Related Article: T.Groer, M.Scheer|2000|Organometallics|19|3683|doi:10.1021/om000372g
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/cc4vnwh
title: CCDC 144797: Experimental Crystal Structure Determination

description: Related Article: O.R.Nascimento, A.J.Costa-Filho, D.I.De Morais, J.Ellena, L.F.Delboni|2001|Inorg.Chim.Acta|312|133|doi:10.1016/S0020-1693(00)00356-X
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/cc5502d
title: CCDC 153762: Experimental Crystal Structure Determination

description: Related Article: P.F.Kelly, A.M.Z.Slawin, K.W.Waring, S.Wilson|2001|Inorg.Chim.Acta|312|201|doi:10.1016/S0020-1693(00)00338-8
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/cc55ch5
title: CCDC 154116: Experimental Crystal Structure Determination

description: Related Article: D.S.Bohle, P.A.Goodson, D.A.Jaeger, A.Zafar|2001|Inorg.Chim.Acta|312|210|doi:10.1016/S0020-1693(00)00342-X
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/cc4vpk6
title: CCDC 144818: Experimental Crystal Structure Determination

description: Related Article: Xiao-Xia Liu, Wing-Tak Wong|2001|Inorg.Chim.Acta|312|231|doi:10.1016/S0020-1693(00)00337-6
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/cc4xjn6
title: CCDC 146588: Experimental Crystal Structure Determination

description: Related Article: M.Westerhausen, T.Bollwein, A.Pfitzner, T.Nilges, H.-J.Deiseroth|2001|Inorg.Chim.Acta|312|239|doi:10.1016/S0020-1693(00)00352-2
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/cc4xjp7
title: CCDC 146589: Experimental Crystal Structure Determination

description: Related Article: M.Westerhausen, T.Bollwein, A.Pfitzner, T.Nilges, H.-J.Deiseroth|2001|Inorg.Chim.Acta|312|239|doi:10.1016/S0020-1693(00)00352-2
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/cc4xjq8
title: CCDC 146590: Experimental Crystal Structure Determination

description: Related Article: M.Westerhausen, T.Bollwein, A.Pfitzner, T.Nilges, H.-J.Deiseroth|2001|Inorg.Chim.Acta|312|239|doi:10.1016/S0020-1693(00)00352-2
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/cc4thp3
title: CCDC 143675: Experimental Crystal Structure Determination

description: Related Article: J.Fawcett, S.H.Laurie, C.Simpson, M.C.R.Symons, F.A.Taiwo, I.Hawkins|2001|Inorg.Chim.Acta|312|245|doi:10.1016/S0020-1693(00)00365-0
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: 10.15468/dl.6d6caw
title: Occurrence Download

description: A dataset containing 319 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Peltogyne paniculata Benth.)"
 ]
}

 The dataset includes 319 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010384-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.imtdok
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/0088040-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/caulh1
title: Replication Data for: In The Interests of Millennials? Exploring Generational Representation in U.S. State Legislatures

description: The literature on representation has shown that those who reflect the characteristics, traits and/or experiences of a group (descriptive representation) are more likely to represent that group’s interests (substantive representation). In this paper, we argue that questions about representation should be considered with regard to generational identity. Drawing upon research that shows the importance of the Millennial Generation identity for understanding Millennials’ attitudes and policy preferences, we look at whether this identity matters for the legislative representation of group interests by examining bill sponsorship activity in thirty-one state legislatures. Our results tentatively support the expectation that the Millennial generation identity conditions the sponsorship of Millennial interest bills. Millennial legislators are more likely than non-Millennial legislators to sponsor bills that disproportionately impact their group members. This result is observed among both Democrat and Republican legislators, but at different magnitudes and for different issue priorities. These findings suggest that the Millennial generation identity is a meaningful determinant of legislative behavior, even when examined alongside partisanship.
DOI: 10.15468/dl.y4g278
title: Occurrence Download

description: A dataset containing 320120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Erigeron philadelphicus L., Erigeron speciosus (Lindl.) DC., Erigeron strigosus Muhl. ex Willd., Erigeron sumatrensis Retz., Eryngium foetidum L., Eryngium planum L., Erysimum repandum L., Erythrina corallodendron L., Eucalyptus exserta F.Muell., Eucalyptus globulus Labill.)"
 ]
}

 The dataset includes 320120 records from 1482 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021479-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avpz2m
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/0011492-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9yknvr
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aglaonema ovatum Engl."
 ]
}

 The dataset includes 41 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021465-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbuy7m
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/0086131-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7sc08
title: Occurrence Download

description: A dataset containing 283012185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 283012185 records from 413 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010640-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7rcyd
title: Occurrence Download

description: A dataset containing 2020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arachnothera crassirostris)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 2020 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082081-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16362301
title: 2021 (annual data) Vessel detections from Sentinel 2

description: Vessel detections with Sentinel-2 satellite imagery from 2019 to 14 days ago. Multiyear detection of vessels with respective length, speed and orientation estimates based on deep-learning models applied to electro-optical imagery (RGB and near-infrared) at 10-m resolution covering most exclusive economic zones and marine protected areas across the ocean.

Sentinel-2 detections are  based on electro-optical imagery at 10-m resolution. Compared with our published Sentinel-1 detections based on SAR imagery at 20-m resolution, Sentinel-2 allows detecting smaller vessels with all types of vessel materials, in contrast with the weakness of SAR imagery on revealing vessels made of wood and fiberglass. Sentinel-2 also images the wakes of moving vessels, which further increase the detectability of small vessels and allow us to infer the vessels’ speed and orientation.The rich information contained in the optical imagery can be used to map not only vessel presence, but also vessel activities such as vessel encounters and bottom trawling. Sentinel-2 also covers more area of the ocean than Sentinel-1, and the novel neural-net detection approach does not require the exclusion of near-shore regions (as opposed to the CFAR approach), allowing detection of vessels in highly-packed areas all the way to the shoreline where most human activity is concentrated. Overall, with Sentinel-2 imagery we are able to detect about 3 times more vessels, “see” a broader range of vessel lengths and types, and infer more information of vessel activities than in our previous mapping using Sentinel-1 imagery.
description: This is the same dataset available in Global Fishing Watch Data Download Portal.

We have created one version for each year since 2019 to 2024, then you can find one version for each month during 2025. 

We will publish a new version including monthly data around the 15th of each month, so for example Aug 15 2025, you will find July 2025 data uploaded.
DOI: 10.5281/zenodo.16363632
title: 2022 (annual data) Vessel detections from Sentinel 2

description: Vessel detections with Sentinel-2 satellite imagery from 2019 to 14 days ago. Multiyear detection of vessels with respective length, speed and orientation estimates based on deep-learning models applied to electro-optical imagery (RGB and near-infrared) at 10-m resolution covering most exclusive economic zones and marine protected areas across the ocean.

Sentinel-2 detections are  based on electro-optical imagery at 10-m resolution. Compared with our published Sentinel-1 detections based on SAR imagery at 20-m resolution, Sentinel-2 allows detecting smaller vessels with all types of vessel materials, in contrast with the weakness of SAR imagery on revealing vessels made of wood and fiberglass. Sentinel-2 also images the wakes of moving vessels, which further increase the detectability of small vessels and allow us to infer the vessels’ speed and orientation.The rich information contained in the optical imagery can be used to map not only vessel presence, but also vessel activities such as vessel encounters and bottom trawling. Sentinel-2 also covers more area of the ocean than Sentinel-1, and the novel neural-net detection approach does not require the exclusion of near-shore regions (as opposed to the CFAR approach), allowing detection of vessels in highly-packed areas all the way to the shoreline where most human activity is concentrated. Overall, with Sentinel-2 imagery we are able to detect about 3 times more vessels, “see” a broader range of vessel lengths and types, and infer more information of vessel activities than in our previous mapping using Sentinel-1 imagery.
description: This is the same dataset available in Global Fishing Watch Data Download Portal.

We have created one version for each year since 2019 to 2024, then you can find one version for each month during 2025. 

We will publish a new version including monthly data around the 15th of each month, so for example Aug 15 2025, you will find July 2025 data uploaded.
DOI: 10.5281/zenodo.16364665
title: 2023 (annual data) Vessel detections from Sentinel 2

description: Vessel detections with Sentinel-2 satellite imagery from 2019 to 14 days ago. Multiyear detection of vessels with respective length, speed and orientation estimates based on deep-learning models applied to electro-optical imagery (RGB and near-infrared) at 10-m resolution covering most exclusive economic zones and marine protected areas across the ocean.

Sentinel-2 detections are  based on electro-optical imagery at 10-m resolution. Compared with our published Sentinel-1 detections based on SAR imagery at 20-m resolution, Sentinel-2 allows detecting smaller vessels with all types of vessel materials, in contrast with the weakness of SAR imagery on revealing vessels made of wood and fiberglass. Sentinel-2 also images the wakes of moving vessels, which further increase the detectability of small vessels and allow us to infer the vessels’ speed and orientation.The rich information contained in the optical imagery can be used to map not only vessel presence, but also vessel activities such as vessel encounters and bottom trawling. Sentinel-2 also covers more area of the ocean than Sentinel-1, and the novel neural-net detection approach does not require the exclusion of near-shore regions (as opposed to the CFAR approach), allowing detection of vessels in highly-packed areas all the way to the shoreline where most human activity is concentrated. Overall, with Sentinel-2 imagery we are able to detect about 3 times more vessels, “see” a broader range of vessel lengths and types, and infer more information of vessel activities than in our previous mapping using Sentinel-1 imagery.
description: This is the same dataset available in Global Fishing Watch Data Download Portal.

We have created one version for each year since 2019 to 2024, then you can find one version for each month during 2025. 

We will publish a new version including monthly data around the 15th of each month, so for example Aug 15 2025, you will find July 2025 data uploaded.
DOI: 10.5281/zenodo.16366408
title: 2024 (annual data) Vessel detections from Sentinel 2

description: Vessel detections with Sentinel-2 satellite imagery from 2019 to 14 days ago. Multiyear detection of vessels with respective length, speed and orientation estimates based on deep-learning models applied to electro-optical imagery (RGB and near-infrared) at 10-m resolution covering most exclusive economic zones and marine protected areas across the ocean.

Sentinel-2 detections are  based on electro-optical imagery at 10-m resolution. Compared with our published Sentinel-1 detections based on SAR imagery at 20-m resolution, Sentinel-2 allows detecting smaller vessels with all types of vessel materials, in contrast with the weakness of SAR imagery on revealing vessels made of wood and fiberglass. Sentinel-2 also images the wakes of moving vessels, which further increase the detectability of small vessels and allow us to infer the vessels’ speed and orientation.The rich information contained in the optical imagery can be used to map not only vessel presence, but also vessel activities such as vessel encounters and bottom trawling. Sentinel-2 also covers more area of the ocean than Sentinel-1, and the novel neural-net detection approach does not require the exclusion of near-shore regions (as opposed to the CFAR approach), allowing detection of vessels in highly-packed areas all the way to the shoreline where most human activity is concentrated. Overall, with Sentinel-2 imagery we are able to detect about 3 times more vessels, “see” a broader range of vessel lengths and types, and infer more information of vessel activities than in our previous mapping using Sentinel-1 imagery.
description: This is the same dataset available in Global Fishing Watch Data Download Portal.

We have created one version for each year since 2019 to 2024, then you can find one version for each month during 2025. 

We will publish a new version including monthly data around the 15th of each month, so for example Aug 15 2025, you will find July 2025 data uploaded.