cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c52p24
title: Occurrence Download

description: A dataset containing 2651 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 (Carduelis carduelis)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 2651 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034917-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsqf7d
title: Occurrence Download

description: A dataset containing 20899 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 (Carduelis carduelis)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 20899 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034915-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16352651
title: Dataset for "Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data" (preprint: https://arxiv.org/abs/2504.12287).

description: This is the dataset to be used for preprint: https://arxiv.org/abs/2504.12287:

"Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data"

Download, unzip and place in the ./inst directory in the R package repository https://github.com/sangwon-hyun/flowtrend. Then, run the R markdown code to produce the figures and tables.
DOI: 10.5281/zenodo.16352652
title: Dataset for "Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data" (preprint: https://arxiv.org/abs/2504.12287).

description: This is the dataset to be used for preprint: https://arxiv.org/abs/2504.12287:

"Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data"

Download, unzip and place in the ./inst directory in the R package repository https://github.com/sangwon-hyun/flowtrend. Then, run the R markdown code to produce the figures and tables.
DOI: 10.60503/d3/mqoqew
title: California Poll, 1960-1969

description: The Berkeley IGS Poll is a periodic survey of California public opinion on important matters of politics, public policy, and public issues. The poll, which is disseminated widely, seeks to provide a broad measure of contemporary public opinion, and to generate data for subsequent scholarly analysis. For IGS Poll press releases please visit: eScholarship IGS Poll Press Releases
DOI: 10.15468/dl.9286zf
title: Occurrence Download

description: A dataset containing 1086 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 (Tringa erythropus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 1086 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034918-250717081556266/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.29625182
title: Dados de campo (abril/2024) - rover

description: Zero altitude; mean high tide; marine terrains and mean sea level surveyz.
DOI: 10.6084/m9.figshare.29625182.v1
title: Dados de campo (abril/2024) - rover

description: Zero altitude; mean high tide; marine terrains and mean sea level surveyz.
DOI: 10.15468/dl.jrcy8e
title: Occurrence Download

description: A dataset containing 9 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 (Tringa erythropus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034919-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rb8h3
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorghum halepense",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 37 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034924-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2c2cw
title: Occurrence Download

description: A dataset containing 1071145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is USA.47_1",
 "Month is December",
 "TaxonKey is Aves",
 "Year 2020-2024"
 ]
}

 The dataset includes 1071145 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034898-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7f7yb
title: Occurrence Download

description: A dataset containing 935 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepechinia schiedeana"
 ]
}

 The dataset includes 935 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034922-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywh726
title: Occurrence Download

description: A dataset containing 30452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Xanthium spinosum"
 ]
}

 The dataset includes 30452 records from 524 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034921-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjgqba
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lobelia perpusilla"
 ]
}

 The dataset includes 339 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034926-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9d9akm
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorghum halepense",
 "Country is Congo, Democratic Republic of the",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034925-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p83u5
title: Occurrence Download

description: A dataset containing 934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-168.35451 21.01506,-46.76082 21.01506,-46.76082 73.9138,-168.35451 73.9138,-168.35451 21.01506))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phyllostachys aurea",
 "Year 1999-2025"
 ]
}

 The dataset includes 934 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034927-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ax9ncf
title: Occurrence Download

description: A dataset containing 5122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica persica",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5122 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034928-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wadhga
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Garveia franciscana",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034930-250717081556266/datasets/export for details.
DOI: 10.15468/dl.v6scua
title: Occurrence Download

description: A dataset containing 2485 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stauracanthus genistoides"
 ]
}

 The dataset includes 2485 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034929-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmwmfp
title: Occurrence Download

description: A dataset containing 5562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia saligna",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5562 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034931-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ye2p3s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lychnis triflora"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034932-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5hh6cj9p
title: MassIVE MSV000098624 - Large-scale multi-omic analysis identifies noncoding somatic driver mutations and nominates ZFP36L2 as a driver gene for pancreatic ductal adenocarcinoma
title: Background The identification and characterization of somatic cancer driver mutations in the noncoding genome remains challenging. Objective To broadly characterize noncoding driver mutations for pancreatic ductal adenocarcinoma (PDAC). Design Using mutation calls from whole-genome sequence (WGS) data in PDACs and genome-scale maps of accessible gene regulatory regions in normal- and tumor-derived pancreatic samples, we analyzed enrichment of noncoding mutations in gene regulatory regions relevant to normal- and tumor-derived pancreatic contexts. Functional follow up of potential driver mutations was performed using chromatin interaction analyses, massively parallel reporter assays (MPRA) and targeted analysis of selected noncoding somatic mutations. Results We first created genome-scale maps of accessible chromatin regions (ACRs) and histone modification marks (HMMs) in pancreatic cell lines and purified pancreatic acinar and duct cells. Integration with whole-genome mutation calls from 506 PDACs revealed 314 ACRs/HMMs significantly enriched with 3,614 noncoding somatic mutations (NCSMs). Chromatin interaction analysis identified 416 potential target genes and MPRA revealed 178 NCSMs impacting reporter activity (19.45% of those tested). Targeted luciferase validation confirmed negative effects on gene regulatory activity for NCSMs near ZFP36L2 and CDKN2A. For the former, CRISPR interference (CRISPRi) identified ZFP36L2 as a target gene (16.0 - 24.0% reduced expression, P = 0.023-0.0047), and growth inhibition after overexpression of ZFP36L2 (4.1 - 14.1-fold reduction, P = 6.0x10-4 - 3.2x10-3) implicates a possible tumor suppressor function. Conclusion Our integrative approach provides a catalog of potential noncoding driver mutations and nominates ZFP36L2 as a novel PDAC driver gene with a likely tumor suppressor function.
DOI: 10.15485/1109235
title: Electrical Resistance Tomographic Profile L2, Site 0, Barrow, AK

description: This archive contains the Electrical Resistivity Tomography (ERT) data inferred from an electrical survey conducted along a ~500 m long transect, as published in Figure 7 of Hubbard et al. (2013). The data were acquired within the Barrow Environmental Observatory (BEO) on the Alaskan Arctic Coastal Plain, approximately 4 miles from the Beaufort Sea near Utqiaġvik, Alaska. This dataset has been used to improve the quantification of subsurface properties and the understanding of co-variability between subsurface and surface characteristics. The reference list attached to this archive includes studies and other measurements associated with this dataset. This archive provides the inverted data as presented in Hubbard et al. (2013). More details on data acquisition, processing, and inversion are available in Dafflon et al. (2016). The raw data are provided in Dafflon et al. (2025).The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic) was a 15-year research effort (2012-2027) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy’s Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska, and 2) multiple areas in the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15468/dl.fvd3ma
title: Occurrence Download

description: A dataset containing 5675 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lobelia angulata"
 ]
}

 The dataset includes 5675 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034935-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5km6k4
title: Occurrence Download

description: A dataset containing 844 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lobelia comosa"
 ]
}

 The dataset includes 844 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034936-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu69nr
title: Occurrence Download

description: A dataset containing 4159 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 (Carduelis carduelis)",
 "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 4159 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034937-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24431/rw1k9hh
title: Cormorant Oceanography Project: Biologging Data from European Shags (Gulosus aristotelis), Røst, Norway, 2023

description: This dataset is provided by the Cormorant Oceanography Project (https://www.osudashcams.com/), an interdisciplinary collaboration between oceanographers and seabird ecologists based at Oregon State University, and in partnership with collaborators globally. We are advancing biologging tag technologies for use with cormorant species to measure in situ oceanographic conditions. This also offers a unique opportunity to study the distribution and behaviors of cormorants relative to environmental conditions along their daily foraging paths. 

Our biologging tags include combinations of fast-response sensors to measure water temperature, conductivity, and pressure. Each tag contains an inertial measurement unit (IMU) to monitor acceleration and orientation. A GPS unit, triggered when a bird surfaces, provides locations for georeferencing measurements. The sensors collect large volumes of data that are transmitted and retrieved using two-way cellular communications. 

This dataset consists of GPS tracks and dive profiles from European shags (Gulosus aristotelis) tagged on Røst Island, Norway, during the 2023 breeding season. GPS-GSM tags with integrated fast response temperature, and depth sensors were mounted to a baseplate and fixed to the base of the shag’s central tail feathers. The tags will remain on the bird until they moult their feathers, typically at the end of the breeding season.
DOI: 10.15468/dl.au8ys3
title: Occurrence Download

description: A dataset containing 9509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus maritimus"
 ]
}

 The dataset includes 9509 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034940-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nvcz2
title: Occurrence Download

description: A dataset containing 2945 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 (Tringa erythropus)",
 "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 2945 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034941-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24431/rw1k9hi
title: Cormorant Oceanography Project: Biologging Data from European Shags (Gulosus aristotelis), Hornøya, Norway, 2023

description: Oceanographic sampling of the coastal ocean is often sparse in space and time and in situ observations are needed to understand the complex physical processes in this zone. 

This dataset is provided by the Cormorant Oceanography Project (https://www.osudashcams.com/), an interdisciplinary collaboration between oceanographers and seabird ecologists based at Oregon State University, and in partnership with collaborators globally. We are advancing biologging tag technologies for use with cormorant species to measure in situ oceanographic conditions. This also offers a unique opportunity to study the distribution and behaviors of cormorants relative to environmental conditions along their daily foraging paths. 

Our biologging tags include combinations of fast-response sensors to measure water temperature, conductivity, and pressure. Each tag contains an inertial measurement unit (IMU) to monitor acceleration and orientation. A GPS unit, triggered when a bird surfaces, provides locations for georeferencing measurements. The sensors collect large volumes of data that are transmitted and retrieved using two-way cellular communications. 

This dataset consists of GPS tracks and dive profiles from European shags (Gulosus aristotelis) tagged on Hornøya Island, Norway, during the 2023 breeding season. GPS-GSM tags with integrated fast response temperature, and depth sensors were mounted to a baseplate and fixed to the base of the shag’s central tail feathers. The tags remain on the bird until they moult their feathers, typically at the end of the breeding season.