cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zbtz89
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Anhima cornuta)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025140-250802193616735/datasets/export for details.
DOI: 10.15468/dl.tpypaf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Anhima cornuta)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025142-250802193616735/datasets/export for details.
DOI: 10.15468/dl.p3k3ar
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Roeboides ilseae)",
 "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 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025143-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yx8b5u
title: Occurrence Download

description: A dataset containing 2376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ara ararauna)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 2376 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025144-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quaky9
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ara ararauna)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025146-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpbpux
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apistogramma norberti)",
 "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 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025147-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15112790
title: Databases used for LipidLocator

description: These are the sqlite files that need to go into the data folder if the GitHub repository (https://github.com/MercaderLabAnatomy/LipidLocator) is used for the LipidLocator app.
DOI: 10.5281/zenodo.15112789
title: Databases used for LipidLocator

description: These are the sqlite files that need to go into the data folder if the GitHub repository (https://github.com/MercaderLabAnatomy/LipidLocator) is used for the LipidLocator app.
DOI: 10.6084/m9.figshare.29852255
title: <b>Shedding light on citizens’ plastic perception during EU Researcher's Night</b> - Supplementary materials

description: This research aimed to examines how gender, age, education, and profession affect citizens’ awareness of the plastic issue, including its environmental impacts, recycling practices, and social implications, using a 19-questions survey submitted to 111 citizens randomly chosen. Our findings revealed that participants reported a frequent plastic use, consistent recycling habits, and high concern about plastic pollution and ingestion. Gender significantly influenced the level of concern for plastic pollution, with females showing higher than expected concern and being more sceptical about solutions, while men expressed comparatively less concern. The youngest citizens (&lt; 19) associated plastic pollution mainly with moderate concern and partial ingestion risk, while young-adult participants (20-35) were more likely to express major concern, supporting the idea of a certain regular ingestion of plastics. Interestingly, the 36–60 age group showed doubts regarding the actual regular ingestion of plastic. Moreover, respondents with higher education levels were more prone to always recycle and to be concerned about plastic pollution, while those with only primary education showed the opposite trend. Students reported biodegradable plastic as alternative to conventional plastics, while employed respondents believed that bioplastic was the best alternative. In contrast, profession did not have any influence on the tested questions.
DOI: 10.6084/m9.figshare.29852255.v1
title: <b>Shedding light on citizens’ plastic perception during EU Researcher's Night</b> - Supplementary materials

description: This research aimed to examines how gender, age, education, and profession affect citizens’ awareness of the plastic issue, including its environmental impacts, recycling practices, and social implications, using a 19-questions survey submitted to 111 citizens randomly chosen. Our findings revealed that participants reported a frequent plastic use, consistent recycling habits, and high concern about plastic pollution and ingestion. Gender significantly influenced the level of concern for plastic pollution, with females showing higher than expected concern and being more sceptical about solutions, while men expressed comparatively less concern. The youngest citizens (&lt; 19) associated plastic pollution mainly with moderate concern and partial ingestion risk, while young-adult participants (20-35) were more likely to express major concern, supporting the idea of a certain regular ingestion of plastics. Interestingly, the 36–60 age group showed doubts regarding the actual regular ingestion of plastic. Moreover, respondents with higher education levels were more prone to always recycle and to be concerned about plastic pollution, while those with only primary education showed the opposite trend. Students reported biodegradable plastic as alternative to conventional plastics, while employed respondents believed that bioplastic was the best alternative. In contrast, profession did not have any influence on the tested questions.
DOI: 10.15468/dl.qw84rn
title: Occurrence Download

description: A dataset containing 6891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Muraena helena"
 ]
}

 The dataset includes 6891 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025150-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9baax9
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ara ararauna)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025149-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy7wu5
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ara ararauna)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 215 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025148-250802193616735/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.29852204
title: Supplementary information : Are alternatively organized value chains more environmentally sustainable? Evidence from soybean production in Minas Gerais and Paraná states, Brazil

description: This is the supplementary information of the research on Soybean production systems carried out in Brazil. The research analyzed the conventional and alternative pathways of soybean production in two agroecoregions of Brazil. The file provided present supplementary information complementing the text of the article.
DOI: 10.6084/m9.figshare.29852204.v1
title: Supplementary information : Are alternatively organized value chains more environmentally sustainable? Evidence from soybean production in Minas Gerais and Paraná states, Brazil

description: This is the supplementary information of the research on Soybean production systems carried out in Brazil. The research analyzed the conventional and alternative pathways of soybean production in two agroecoregions of Brazil. The file provided present supplementary information complementing the text of the article.
DOI: 10.5281/zenodo.15652768
title: Dataset: A third of sub-Saharan Africa's farms cultivate less than half an hectare of land

description: Farm sizes are highly heterogeneous across sub-Saharan Africa, yet challenging to describe. Here, we standardize household survey data from 16 countries to predict through machine learning the empirical distribution of smallholder farm sizes in10 x 10 km2 grid cells across the continent. Key outputs include rasters (.tif) predicting the spatial distribution of average farm sizes and their associated centiles. A workflow is also proposed, which can be used/improved as more/better data are available.
DOI: 10.5281/zenodo.15652767
title: Dataset: A third of sub-Saharan Africa's farms cultivate less than half an hectare of land

description: Farm sizes are highly heterogeneous across sub-Saharan Africa, yet challenging to describe. Here, we standardize household survey data from 16 countries to predict through machine learning the empirical distribution of smallholder farm sizes in10 x 10 km2 grid cells across the continent. Key outputs include rasters (.tif) predicting the spatial distribution of average farm sizes and their associated centiles. A workflow is also proposed, which can be used/improved as more/better data are available.
DOI: 10.5281/zenodo.15095948
title: The Helios OSL reader: a portable system for dating and dosimetry applications

description: Data for the article https://doi.org/10.20858/geochr/208873

Optical Stimulated Luminescence (OSL) screening has emerged as a significant advancement in the field of luminescence dating applications. The employed portable luminescence readers offer practical and efficient tools for on-site measurements. In contrast to traditional luminescence dating in the laboratory, which often involves analyzing enriched quartz or feldspar mineral separates, portable OSL readers typically measure infrared (IR) or blue post-IR OSL signals from unprocessed bulk material. Here, we present a new device series that can be used as a portable OSL reader for dating purposes and luminescence screening: the OSL Helios reader. The reader has already been used in luminescence laboratories as a bench-top device for dosimetry research for almost twenty years. It recently received significant upgrades for better versatility. Our contribution demonstrates the application of the OSL Helios reader for luminescence screening on a loess profile, where luminescence signal intensities were assessed for specific sedimentological layers. The profile was measured using different versions of the OSL Helios reader, and the results were compared to those of the SUERC reader, which is commonly used as a portable reader in applications. Additionally, standard passive dosimeters (Al2O3:C and BeO), as well as detectors considered for emergency dosimetry (NaCl), were measured to determine the sensitivity of Helios devices. We conclude that the Helios reader performs similarly to the SUERC reader in most standard situations and can be considered an additional option for portable luminescence reader application.
DOI: 10.5281/zenodo.15095947
title: The Helios OSL reader: a portable system for dating and dosimetry applications

description: Data for the article https://doi.org/10.20858/geochr/208873

Optical Stimulated Luminescence (OSL) screening has emerged as a significant advancement in the field of luminescence dating applications. The employed portable luminescence readers offer practical and efficient tools for on-site measurements. In contrast to traditional luminescence dating in the laboratory, which often involves analyzing enriched quartz or feldspar mineral separates, portable OSL readers typically measure infrared (IR) or blue post-IR OSL signals from unprocessed bulk material. Here, we present a new device series that can be used as a portable OSL reader for dating purposes and luminescence screening: the OSL Helios reader. The reader has already been used in luminescence laboratories as a bench-top device for dosimetry research for almost twenty years. It recently received significant upgrades for better versatility. Our contribution demonstrates the application of the OSL Helios reader for luminescence screening on a loess profile, where luminescence signal intensities were assessed for specific sedimentological layers. The profile was measured using different versions of the OSL Helios reader, and the results were compared to those of the SUERC reader, which is commonly used as a portable reader in applications. Additionally, standard passive dosimeters (Al2O3:C and BeO), as well as detectors considered for emergency dosimetry (NaCl), were measured to determine the sensitivity of Helios devices. We conclude that the Helios reader performs similarly to the SUERC reader in most standard situations and can be considered an additional option for portable luminescence reader application.
DOI: 10.15468/dl.uscgdt
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Australoheros angiru)",
 "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 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025151-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16361539
title: 2020 (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: 10.17863/cam.116886
title: Research data supporting: "Conformational Dynamics and Membrane Insertion Mechanism of B4GALNT1 in Ganglioside Synthesis"

description: Coarse grain MD simulation data for membrane interactions of the B4GALNT1 full-length and lumenal domain as well as lumenal domains of additional ganglioside synthases. Also included is all-atom MD data for the B4GALNT1 lumenal domain interacting with the lipid GM3 in the membrane. Coarse-grain simulations for membrane association analysis were prepared using the MemProtMD-Association component of the MemProtMD pipeline, generating 25 repeats with different protein starting orientations. 5 μs production simulations were performed with a preformed 1% GM3, 99% PC membrane assembled with INSANE 3.0. Coarse-grained models were generated using the Martini v3.0.0 force field. A README file is provided.
DOI: 10.5281/zenodo.15978309
title: 2019 (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.