cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c22yzj
title: Occurrence Download

description: A dataset containing 78070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((23.80896 38.06971,23.80882 38.11076,23.79169 38.1478,23.75923 38.1772,23.71463 38.19608,23.66224 38.20259,23.6072 38.19608,23.55493 38.1772,23.51056 38.1478,23.47844 38.11076,23.4617 38.06971,23.46198 38.02867,23.47922 37.99165,23.51173 37.96228,23.55631 37.94342,23.6086 37.93693,23.6635 37.94342,23.71566 37.96228,23.75998 37.99165,23.79213 38.02867,23.80896 38.06971)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 78070 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028679-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15398296
title: Beyond Edge Addition

description: Beyond Edge Addition: A Dataset forInformation Extraction Incorporating NewInstances, Types, and Relations

Information extraction (IE) is the task of converting natural language text into structured triples comprising a subject, predicate, and object. Existing IE datasets often operate under the assumption that all entities (instances, properties, and classes) are already defined within a knowledge graph (KG), focusing solely on discovering the relationships between them. However, this assumption does not align with real-world scenarios, where many entities and relationships may be missing in the KG. Additionally, most current datasets do not provide a snapshot of the accompanying knowledge graph, leading to inconsistencies in evaluation,as different systems may rely on different KG versions with varying degrees of completeness and labelling support. Such inconsistencies undermine fair benchmarking and reproducibility. In this paper, we introduce a novel information extraction dataset specifically designed to better reflect realistic KG incompleteness. Our dataset includes 20% missing classes and instances, along with 5% missing relations, requiring systems to not only add new links (edges) but also propose new instances, classes,and relations. To ensure reproducibility and prevent leakage from pre-trained language models, we provide a heavily modified version of Wikidata where background knowledge cannot be exploited to trivially infer triples. This resource supports a more robust and comparable evaluation of IE systems in settings closer to real-world applications. We further present a strong baseline that employs large language models for extraction and disambiguation tasks, as well as encoder-based retrieval, tointegrate the background knowledge graph. It operates in several iterations, initially identifying a first set of triples, then progressively refining them by referencing the KG and generating new entities if necessary.

 

Dataset Description

There are two gzipped files uploaded. The first one contains the knowledge graph and the second one the actual dataset with the text and corresponding triples that should be extracted.

The files are password protected such that the dataset is not easily included in future LLM training.

The password can be found in the corresponding Github repository.
DOI: 10.15468/dl.68afxm
title: Occurrence Download

description: A dataset containing 1608372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is May",
 "OccurrenceStatus is Present",
 "TaxonKey is Icterus galbula (Linnaeus, 1758)"
 ]
}

 The dataset includes 1608372 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028680-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.593b85
title: Occurrence Download

description: A dataset containing 873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Estonia",
 "DatasetKey is one of (Estonian Naturalists’ Society, Estonian Nature Observations Database)",
 "Geometry POLYGON((23.87408 58.44167,25.11316 58.3967,25.1398 59.21946,23.91802 59.25991,23.87408 58.44167))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Suidae",
 "Year 1924-2025"
 ]
}

 The dataset includes 873 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028687-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48472/datapb/goxswb
title: Coleção de Referência de Fauna de Solo

description: O dataset contém registros de ocorrência da fauna de Collembola no Estado da Paraíba, provenientes de pesquisas realizadas no Laboratório de Sistemática de Collembola e Conservação da UEPB, bem como de materiais enviados por outras instituições para depósito na CRFS.
DOI: 10.6084/m9.figshare.29052149
title: Supplementary Tables 1 & 2

description: List of RT-PCR primers (Table S1) and antibodies used in the manuscript (Table S2)
DOI: 10.5066/p14sgumt
title: Coastal Multibeam Bathymetry and Backscatter Data Collected in June 2024 From Wallops and Assawoman Islands, Virginia

description: Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (USGS–SPCSMC), conducted a bathymetric survey near Wallops and Assawoman Islands, Virginia (VA). During this study, multibeam bathymetry data were collected aboard the Research Vessel (R/V) Sallenger from June 1-13, 2024, as a part of field activity number (FAN) 2024-310-FA. Additionally, nearshore single-beam echosounder (SBES) and land topographic elevations, as well as Chirp seismic data, were concurrently collected as a part of FAN 2024-310-FA; those data are available as separate data releases (Lyons and others, 2025; Forde and others, 2025). For further information regarding data collection and/or processing methods, please refer to the associated metadata. 

Forde, A.S., Stalk, C.A., Ciarletta, D.J., and Miselis, J.L., 2025, Chirp sub-bottom profile geophysical data collected in 2024 from Wallops Island and Assawoman Island, Virginia: U.S. Geological Survey data release, https://doi.org/10.5066/P1NZ6CC2.

Lyons, E.O., Bernier, J.C., Nick, S.K., Ciarletta, D.J., and Miselis, J.L., 2025, Coastal single-beam bathymetry and beach elevation data collected in 2024 from Wallops and Assawoman Islands, Virginia: U.S. Geological Survey data release, https://doi.org/10.5066/P1HFYGE6.
DOI: 10.5066/p1hfyge6
title: Coastal Single-Beam Bathymetry and Beach Elevation Data Collected in 2024 From Wallops and Assawoman Islands, Virginia

description: The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) collected single beam echosounder (SBES) and differential global positioning system (DGPS) elevation data in the nearshore and beach environments of Wallops and Assawoman Islands, Virginia, in June 2024. This data release includes the processed SBES and DGPS elevation point data (xyz) for Field Activity Number (FAN) 2024-310-FA. The SBES data were acquired using survey equipment mounted on personal watercrafts (PWCs) Chum and Shark, and the DGPS data were acquired using GPS antennas mounted on a utility terrain vehicle (UTV) or GPS backpack. Multibeam echosounder (MBES) and chirp seismic data were also collected as part of FAN 2024-310-FA, and are available in separate data releases (Forde and others, 2025; Bemelmans and others, 2025).

Forde, A.S., Stalk, C.A., Ciarletta, D.J., and Miselis, J.L., 2025, Chirp sub-bottom profile geophysical data collected in 2024 from Wallops Island and Assawoman Island, Virginia: U.S. Geological Survey data release, https://doi.org/10.5066/P1NZ6CC2.

Bemelmans, C.C., Stalk, C.A., Ciarletta, D.J., and Miselis, J.L., 2025, Multibeam bathymetry and backscatter data collected in June 2024 from Wallops Island and Assawoman Island, Virginia: U.S. Geological Survey data release, https://doi.org/10.5066/P14SGUMT.
DOI: 10.5066/p1nz6cc2
title: Chirp Sub-Bottom Profile Geophysical Data Collected in 2024 From Wallops Island and Assawoman Island, Virginia

description: As part of the Interconnected Coastal Environments at Decadal Timescales and Coastal Sediment Availability and Flux projects, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore geophysical survey to map the shoreface and characterize stratigraphy near Wallops and Assawoman Islands, Virginia (VA). The purpose of this study was to collect bathymetry to initialize hydrodynamic models and acquire new sub-bottom profile data to connect with existing USGS offshore lines collected along the Delmarva Peninsula, Maryland and VA, in 2015 (Sweeney and others, 2015). These newly acquired datasets will be used to help evaluate impacts of shoreface engineering activities on system ecogeomorphology. Collecting geophysical data can help researchers identify relationships between the geologic history of the islands, their present-day morphology, and sediment distribution.

This data release serves as an archive of sub-bottom profile and navigation data collected June 2024, offshore of Wallops and Assawoman Islands, VA during USGS Field Activity Number 2024-310-FA. Data products, including chirp sub-bottom profile data and images, survey trackline map, location data with formal Federal Geographic Data Committee metadata, and field logs are provided. Coastal bathymetry and topographic data were also collected during this geophysical survey and will be provided in another data release.

Sweeney, E.M., Pendleton, E.A., Ackerman, S.D., Andrews, B.D., Baldwin, W.E., Danforth, W.W., Foster, D.S., Thieler, E.R., and Brothers, L.L., 2015, High-resolution geophysical data collected along the Delmarva Peninsula 2015, U.S. Geological Survey Field Activity 2015-001-FA (ver. 3.0, May 2016): U.S. Geological Survey data release, https://doi.org/10.5066/F7P55KK3.
DOI: 10.57830/2307334
title: Sierra Nevada Network Landbird Monitoring Data Package, 2011-2024

description: This data package contains Sierra Nevada Network (SIEN) Inventory and Monitoring Program landbirds tabular data collected during 2011-2024 at Yosemite National Park (YOSE), Sequoia and Kings Canyon National Park (SEKI), and Devils Postpile National Monument (DEPO).

The protocol, publications, and all other associated links can be found in the project reference at: Bird Monitoring Protocol for National Parks in the Sierra Nevada Network: https://irma.nps.gov/DataStore/Reference/Profile/2124954

National parks in SIEN can fulfill vital roles as refuges for bird species dependent on late-successional forest conditions and as reference sites for assessing the effects of land-use and land-cover changes on bird populations throughout the larger Sierra Nevada region. These changes may result from regional processes such as land conversion and forest management, or from broader-scale phenomena such as global climate change. Monitoring population trends at ‘control’ sites in national parks is especially important because the parks are among the few sites in the United States where population trends resulting from large-scale regional or global change patterns are relatively unaffected by local changes in land use. Long-term monitoring of landbirds throughout SIEN provides information that can inform decisions about important management issues in the parks, including visitor impacts, fire management, and the effects of introduced species.

Landbirds are critical food-chain links, eating millions of seeds and insects and in turn, are prey for other creatures. Because they have specific needs for food, nest sites, and habitats they are easily impacted by change. For these reasons, birds are among the most sensitive indicators of ecosystem health and counting them is one of the most efficient ways to take the ecological pulse of an area.

Surveys were conducted in two large wilderness parks: Yosemite (YOSE) and Sequoia and Kings Canyon (SEKI) National Parks, and in one small park: Devils Postpile National Monument (DEPO).

Objectives are to 1) detect trends in the density of as many landbird species (including passerines, near-passerines, and galliformes) as possible throughout accessible areas of three SIEN parks during the breeding season and 2) track changes in the breeding season distribution of landbird species throughout accessible areas of SIEN parks.
DOI: 10.15468/dl.a822sv
title: Occurrence Download

description: A dataset containing 23887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orcinus orca (Linnaeus, 1758)"
 ]
}

 The dataset includes 23887 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028688-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vp3ce8
title: Occurrence Download

description: A dataset containing 370049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April)",
 "OccurrenceStatus is Present",
 "TaxonKey is Icterus galbula (Linnaeus, 1758)"
 ]
}

 The dataset includes 370049 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028684-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdxdyh
title: Occurrence Download

description: A dataset containing 38305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 38305 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028689-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dunfg
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Xylosandrus morigerus Reitter, 1913)",
 "PublishingOrg is one of (da583013-8a1b-4570-b0e4-c7cb25b2e7bf)"
 ]
 }
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028691-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdv8sd
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Estonia",
 "DatasetKey is one of (Estonian Naturalists’ Society, Estonian Nature Observations Database)",
 "Geometry POLYGON((23.82633 58.88274,24.89411 58.88274,24.89411 59.22912,23.82633 59.22912,23.82633 58.88274))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Suidae",
 "Year 1924-2025"
 ]
}

 The dataset includes 445 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028692-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26207/r1ne-jw91
title: MBE growth and STFMR of BiSb alloy
DOI: 10.5281/zenodo.15359725
title: Malware Dataset
title: Windows Malware dataset
DOI: 10.5281/zenodo.15359726
title: Malware Dataset
title: Windows Malware dataset
DOI: 10.15468/dl.g9zaca
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryobates villosus (Linnaeus, 1766)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to September",
 "EventDate is not null",
 "Country is United States of America",
 "Geometry POLYGON((-63 22, -63 51, -126 51, -126 22, -63 22))"
 ]
}

 The dataset includes 923 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028693-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm58y8
title: Occurrence Download

description: A dataset containing 840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample, Occurrence evidence)",
 "DatasetKey is one of (CM Herps Collection, MBML-Anfibios - Coleção de Anfíbios MBML, Museum of Comparative Zoology, Harvard University, Occurrences in SinBiota, KUBI Herpetology Collection, Amphibian, Reptile Collection (MHNG-HERP) of Muséum d'histoire naturelle de la Ville de Genève, Coleção Zoológica da Universidade Federal de Mato Grosso do Sul - Amphibia (ZUFMS-AMP), NMNH Extant Specimen Records (USNM, US), Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Herpetology National Collection (MACNHe), University of Michigan Museum of Zoology, Division of Reptiles & Amphibians)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (c1da06f0-580e-11dc-8a9e-b8a03c50a862, 667644b9-7b93-4892-80c7-c4271735c515, b4640710-8e03-11d8-b956-b8a03c50a862, b035747d-16a4-46e1-b599-599d43e1acc9, b554c320-0560-11d8-b851-b8a03c50a862, 9661d20d-86b6-4485-8948-f3c86b022fa7, 658207e3-b01f-4007-b14d-64b13022cd5a, bc092ff0-02e4-11dc-991f-b8a03c50a862, 2e4af590-37d0-11d9-8439-b8a03c50a862, 6ea87510-0561-11d8-b851-b8a03c50a862)",
 "TaxonKey is Rhinella diptycha (Cope, 1862)"
 ]
}

 The dataset includes 840 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028695-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57833/cidacs/uyn5ka
title: Extração do sistema de vigilância alimentar e nutricional

description: Conjunto de dados produzido e utilizado com a finalidade de alcance dos objetivos de “Estimar o efeito de fatores socioeconômicos, de pré-natal e características maternas no peso ao nascer, prematuridade, morte fetal, data/causa da morte nos cinco anos de vida e crescimento durante os primeiros cinco anos de vida” e “Estimar o impacto do programa Bolsa Família no peso ao nascer, prematuridade, morte fetal, mortalidade por idade e suas causas no crescimento infantil durante os primeiros cinco anos de vida em subpopulações e períodos.”, ambos componentes do projeto intitulado “Avaliando o impacto de fatores e intervenções sociais no crescimento e desenvolvimento saudáveis: coorte de 100 milhões de brasileiros”.
DOI: 10.57833/cidacs/p5yeyj
title: Extração da coorte de cem milhões de Brasileiros vinculada ao sistema de informações de nascidos vivos e ao sistema de vigilância alimentar e nutricional

description: Conjunto de dados produzido e utilizado com a finalidade de alcance dos objetivos de “Estimar o efeito de fatores socioeconômicos, de pré-natal e características maternas no peso ao nascer, prematuridade, morte fetal, data/causa da morte nos cinco anos de vida e crescimento durante os primeiros cinco anos de vida” e “Estimar o impacto do programa Bolsa Família no peso ao nascer, prematuridade, morte fetal, mortalidade por idade e suas causas no crescimento infantil durante os primeiros cinco anos de vida em subpopulações e períodos.”, ambos componentes do projeto intitulado “Avaliando o impacto de fatores e intervenções sociais no crescimento e desenvolvimento saudáveis: coorte de 100 milhões de brasileiros”.
DOI: 10.15468/dl.jvx9wx
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Indonesia, Malaysia, Singapore, Brunei Darussalam, Myanmar, Thailand, Viet Nam, Timor-Leste)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eusideroxylon zwageri Teijsm. & Binn."
 ]
}

 The dataset includes 282 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028696-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r3pax
title: Occurrence Download

description: A dataset containing 530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "OccurrenceStatus is Present",
 "TaxonKey is Kigelia africana (Lam.) Benth.",
 "Year 1800-2025"
 ]
}

 The dataset includes 530 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028698-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxcgep
title: Occurrence Download

description: A dataset containing 38305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 38305 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028697-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57833/cidacs/jrwy7w
title: Extração do cadastro único de brasileiros

description: Conjunto de dados produzido e utilizado com a finalidade de alcance dos objetivos de “Estimar o efeito de fatores socioeconômicos, de pré-natal e características maternas no peso ao nascer, prematuridade, morte fetal, data/causa da morte nos cinco anos de vida e crescimento durante os primeiros cinco anos de vida” e “Estimar o impacto do programa Bolsa Família no peso ao nascer, prematuridade, morte fetal, mortalidade por idade e suas causas no crescimento infantil durante os primeiros cinco anos de vida em subpopulações e períodos.”, ambos componentes do projeto intitulado “Avaliando o impacto de fatores e intervenções sociais no crescimento e desenvolvimento saudáveis: coorte de 100 milhões de brasileiros”.