cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2nc6js
title: CCDC 2453635: Experimental Crystal Structure Determination

description: Related Article: Leonie Wüst, Johannes Chorbacher, Timo Keim, Tim Wellnitz, Julian Spieß, Nele Wieprecht, Maximilian Michel, Holger Helten, Holger Braunschweig|2025|Chemical Science|16|15086|doi:10.1039/D5SC03814F
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.mcudft
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polynemus hornadayi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026569-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/s2qew-hqy78
title: Salmonella typhimurium

description: Session notes:  Tilt series notes:  Tomogram notes:
description: <strong>Tilt Series Date:</strong> 2011-07-31</p>
<strong>Data Taken By:</strong> Morgan Beeby</p>
<strong>Species / Specimen:</strong> Salmonella typhimurium</p>
<strong>Strain:</strong> serovar Typhimurium str. LT2</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-65.0°, 65.0°), step: -1.5°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: 8.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> </p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2011-07-31-1/rawdata/</p>11jul31b_fliL_0007.mrc,  Tilt Series (Pixel Size 0.632 nm), 726.8 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2011-07-31-1/rawdata/11jul31b_fliL_0007.mrc"
        > <i class="download icon"></i> Download </a></p>

        11jul31b_fliL_0007_bin1x_SIRT.rec,  Reconstruction (Pixel Size 0.1 nm), 2.5 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2011-07-31-1/3dimage_21879/11jul31b_fliL_0007_bin1x_SIRT.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5281/zenodo.16410525
title: 202505 - 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 20th of each month, so for example Aug 20 2025, you can find July 2025 data uploaded.
DOI: 10.15468/dl.9ypd5a
title: Occurrence Download

description: A dataset containing 1648 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bolitoglossa adspersa"
 ]
}

 The dataset includes 1648 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026572-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16915602
title: English interiors 173-175
DOI: 10.5281/zenodo.16915603
title: English interiors 173-175
DOI: 10.15468/dl.duq6ev
title: Occurrence Download

description: A dataset containing 5826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Pheidole megacephala",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5826 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026571-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdwhxu
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Paratrechina longicornis",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 37 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026570-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16410466
title: 202504 - 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 publish a new version including monthly data around the 20th of each month, so for example Aug 20 2025, you can find July 2025 data uploaded.
DOI: 10.5281/zenodo.16410409
title: 202503 - 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 publish a new version including monthly data around the 20th of each month, so for example Aug 20 2025, you can find July 2025 data uploaded.
DOI: 10.5281/zenodo.16410123
title: 202502 - 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 publish a new version including monthly data around the 20th of each month, so for example Aug 20 2025, you can find July 2025 data uploaded.
DOI: 10.5281/zenodo.16409068
title: 202501 - 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 publish a new version including monthly data around the 20th of each month, so for example Aug 20 2025, you can find July 2025 data uploaded.
DOI: 10.15468/dl.py2jgn
title: Occurrence Download

description: A dataset containing 2391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crotalus atrox"
 ]
}

 The dataset includes 2391 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026573-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eh6nef
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypophthalmichthys nobilis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 407 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026575-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hssydu
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Pheidole megacephala",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026574-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvv4xu
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Philornis downsi",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 71 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026576-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6kqc5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Philornis downsi",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026577-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.16915464
title: Coherent phonon motions and ordered vacancy compound mediated quantum path interference in Cu-poor CuInxGa(1−x)Se2 (CIGS) with attosecond transient absorption

description: Dataset for preprint https://arxiv.org/abs/2506.05621



Fig. 2c was created with the data in the folder Fig2c

Fig. 3a was created with the data in the folder Fig3a

Fig. 5a was created with the data in the folder Fig5a

Fig. 5b was created with the data in the folder Fig5b
DOI: 10.5281/zenodo.16915465
title: Coherent phonon motions and ordered vacancy compound mediated quantum path interference in Cu-poor CuInxGa(1−x)Se2 (CIGS) with attosecond transient absorption

description: Dataset for preprint https://arxiv.org/abs/2506.05621



Fig. 2c was created with the data in the folder Fig2c

Fig. 3a was created with the data in the folder Fig3a

Fig. 5a was created with the data in the folder Fig5a

Fig. 5b was created with the data in the folder Fig5b
DOI: 10.15468/dl.4a7bhb
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cobitis puncticulata)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026578-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92asv7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Polistes chinensis antennalis",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026580-250811113504898/datasets/export for details.
DOI: 10.15468/dl.z7dbzv
title: Occurrence Download

description: A dataset containing 333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Polistes chinensis antennalis",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 333 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026579-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjrdah
title: Occurrence Download

description: A dataset containing 9684 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus palustris"
 ]
}

 The dataset includes 9684 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026582-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16915598
title: Open Data_Dampak Kecerdasan Buatan AI terhadap Transformasi Pemasaran Pariwisata
DOI: 10.5281/zenodo.16915599
title: Open Data_Dampak Kecerdasan Buatan AI terhadap Transformasi Pemasaran Pariwisata
DOI: 10.15468/dl.4ekp89
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Porcellio scaber",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026583-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vesqkd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parakneria tanzaniae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026584-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16915570
title: Banco de dados do artigo: Análise de tendências para tuberculose em Belém/Pará no período de 2014 a 2023: estudo epidemiológico e transversal

description: Este conjunto de dados derivados é parte do estudo que analisou a tendência temporal da tuberculose e o perfil clínico, epidemiológico e operacional dos casos novos registrados no município de Belém/PA, no período de 2014 a 2023.Os dados originais foram obtidos do Sistema de Informação de Agravos de Notificação (SINAN). Aqui, disponibilizamos os dado
DOI: 10.5281/zenodo.16915571
title: Banco de dados do artigo: Análise de tendências para tuberculose em Belém/Pará no período de 2014 a 2023: estudo epidemiológico e transversal

description: Este conjunto de dados derivados é parte do estudo que analisou a tendência temporal da tuberculose e o perfil clínico, epidemiológico e operacional dos casos novos registrados no município de Belém/PA, no período de 2014 a 2023.Os dados originais foram obtidos do Sistema de Informação de Agravos de Notificação (SINAN). Aqui, disponibilizamos os dado
DOI: 10.15468/dl.w5sw6w
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Procambarus clarkii",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 358 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026588-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezamea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mormyrops microstoma)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026589-250811113504898/datasets/export for details.