cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9e19ssk
title: Repeat microgravity data from South Houghton Area Recharge Project, Tucson, Arizona, 2020-2022 (ver. 2.0, August 2024)

description: Relative-gravity surveys were carried out using a ZLS Burris relative-gravity meter. The effect of solid Earth tides and ocean loading were removed from the data. Instrument drift was removed by evaluating gravity change during repeated measurements at one or more base stations. Absolute-gravity surveys were carried out using a Micro-g LaCoste, Inc. A-10 absolute-gravity meter. Vertical gradients between the different measuring heights of the absolute- and relative-gravity meters were measured using a relative-gravity meter and fully-adjustable tripod, and used to correlate the measurements between the two instruments. Relative-gravity differences and absolute-gravity data were combined using a least-squares network adjustment, as implemented in the software GSadjust (https://doi.org/10.5066/P9YEIOU8). Information about the network adjustment is provided under Data Quality in the metadata.
DOI: 10.5281/zenodo.17710694
title: teste I - Entidasdes
DOI: 10.5281/zenodo.17712558
title: National Open Access Monitor, Ireland - Research product metadata

description: This dataset contains the foundational data for the National Open Access Monitor under an open license. OpenAIRE will routinely provide monthly data dumps to Zenodo, encompassing a comprehensive set of data and indicators related to the Open Access Monitor. This collaborative effort ensures accessibility and openness in sharing the data, promoting transparency and facilitating its use for research and analysis purposes.The dataset comprises of the metadata of the research products metadata stored in the parquet format. The file contains two columns ("id", "xml"), the first of which is the OpenAIRE identifier of the research product and the the second the xml representation of the metadata. The schema of the metadata can be found in https://www.openaire.eu/schema/1.0/oaf-1.0.xsd and a detailed description of the contents can be found in https://graph.openaire.eu/docs/ and https://zenodo.org/records/2643199
DOI: 10.15468/dl.ynhutb
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oeneis chryxus ivallda"
 ]
}

 The dataset includes 58 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007909-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.969av2
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((94.96626 5.92499,94.29736 4.90197,95.6745 3.80026,97.62217 2.12802,99.23538 -0.40985,102.08803 -4.61996,104.27178 -6.80371,105.8063 -6.23318,107.20312 -2.65262,105.23577 -0.7443,103.99635 0.49512,102.36346 1.28206,100.2584 3.13136,97.18935 5.96433,94.96626 5.92499))",
 "TaxonKey is Ostodes"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007911-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7prdpw
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calea myrtifolia"
 ]
}

 The dataset includes 271 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007910-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2t8b3x
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurytemora lacustris"
 ]
}

 The dataset includes 186 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007912-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240632v1
title: State Capitols 2

description: USGS Structures from The National Map consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently being collected are: School, Technical/Trade School, College/University, Fire Station/EMS Station, Law Enforcement/Police Station, Prison/Correctional Facility, State Capitol, Hospital/Medical Center, Ambulance Service, Cemetery, Post Office, Campground, Trailhead, and Visitor/Information Center. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map download client allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/core-science-systems/ngp/tnm-corps/structures. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata. Data Refreshed January, 2025<br>
description: Archived from the HIFLD Open GIS Data Repository, which was deactivated on August 26, 2025.
DOI: 10.15468/dl.cssmdg
title: Occurrence Download

description: A dataset containing 233088 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceramiaceae"
 ]
}

 The dataset includes 233088 records from 669 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007874-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qz6acz
title: Occurrence Download

description: A dataset containing 11536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((1.55579 47.27734,1.54208 47.25303,1.56335 47.24714,1.59833 47.24676,1.60001 47.22528,1.60532 47.22033,1.61668 47.21992,1.62265 47.22682,1.6355 47.2392,1.64626 47.23616,1.64992 47.23408,1.65815 47.23821,1.66403 47.23315,1.67931 47.22996,1.69401 47.22956,1.72717 47.22335,1.76507 47.21643,1.7794 47.23935,1.73665 47.28262,1.72006 47.28089,1.70762 47.2718,1.70539 47.26553,1.68427 47.26271,1.6696 47.25994,1.64598 47.26354,1.65494 47.27211,1.64068 47.27708,1.61298 47.27708,1.58813 47.27902,1.55579 47.27734))",
 "HasGeospatialIssue is false",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Year 2010-2025"
 ]
}

 The dataset includes 11536 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007914-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9n7eb
title: Occurrence Download

description: A dataset containing 3552 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Información biológica (flora y fauna) recopilada en el marco del convenio 0026 de 2021 entre CVC y Ecofuturo"
 ]
}

 The dataset includes 3552 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007916-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kakzq
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007915-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wujr6
title: Occurrence Download

description: A dataset containing 52379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callithamniaceae"
 ]
}

 The dataset includes 52379 records from 445 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007869-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shmt42
title: Occurrence Download

description: A dataset containing 27889 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "PublishingOrg is c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f",
 "TaxonKey is Apamea monoglypha"
 ]
}

 The dataset includes 27889 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007917-251120083545085/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.28889813.v3
title: 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299)

description: The 3D Global Building Footprints (3D-GloBFP) dataset is the first global-scale building height dataset at the individual building footprint level for the year 2020, generated through the integration of multisource Earth Observation (EO) data and the extreme gradient boosting (XGBoost) model. The reliability and accuracy of 3D-GloBFP have been validated across 33 subregions, achieving R² values ranging from 0.66 to 0.96 and root-mean-square errors (RMSEs) between 1.9 m and 14.6 m. The dataset is divided into spatial grid-based tiles, each stored as an individual ShapeFile (.shp) containing estimated building heights (in meters) in attribute tables. See world_grid.shp and readme.txt at https://doi.org/10.5281/zenodo.11319912 for grid partitioning and naming details.
DOI: 10.25829/7ypd-fm92
title: Taxonomic and functional annotation of Oomycota (protist) OTUs across Jena Experiment field experiments (Drought, dBEF, Resident Species, Monocultures)

description: This dataset provides the taxonomic and functional annotation of operational taxonomic units (OTUs) assigned to Oomycota (protists), derived from amplicon sequencing conducted within subproject SP2 Protist Plant Pathogens of the Jena Experiment. Sequence data from all field experiments were jointly clustered, resulting in a shared taxonomic and functional classification across datasets.

The corresponding OTU abundance tables for each field experiment are available under the following Jexis IDs:

Drought Experiment: 523
dBEF Experiment: 524
Resident Species / Indicator Plants: 526
Monocultures: 525

This unified annotation supports consistent cross-experimental analyses of Oomycota diversity and functional composition within the Jena Experiment framework.
DOI: 10.15472/fkuqrw
title: Colecta de frutos de genotipos de Passiflora para extracción de semillas en el departamento del Huila

description: Este recurso contiene 5 registros de colecta de frutos maduros de maracuyá amarillo (Passiflora edulis f. flavicarpa) y cholupa (Passiflora maliformis) en los municipios de Suaza y Rivera, ubicados en el departamento del Huila (Colombia), con el objetivo de obtener semillas y utilizarlas en estudios de propagación y diversidad genética. Los registros se tomaron en marzo del 2024.

Se seleccionaron los genotipos de Passiflora objetivos a partir de huertos productores en cada municipio; se verificó la etiqueta o identificación previa del material. En cada genotipo se eligieron árboles/surtidores sanos y representativos evitando plantas con síntomas evidentes de plagas o enfermedades. La recolección se realizó en la época de madurez fisiológica de cada especie: se consideraron cambios de color característicos, firmeza adecuada y aroma típico. Solo se colectaron frutos sanos, libres de daños mecánicos y de ataque por insectos o enfermedades. Se identificaron plantas adultas, sanas y productivas de diferentes genotipos de Passiflora (según características morfológicas del fruto, hoja y flor).

Los frutos se seleccionaron en estado de madurez fisiológica, caracterizados por el cambio de color de la cáscara propio de cada especie, aroma intenso y ligera pérdida de firmeza. De cada genotipo se recolectaron entre 8 y 10 frutos representativos, procurando que correspondieran a distintos individuos dentro del mismo lote o población, para asegurar variabilidad genética. Los frutos se recolectaron manualmente, utilizando guantes y tijeras de poda, evitando daños mecánicos. Los frutos colectados fueron depositados en bolsas plásticas rotuladas, que incluyeron la información de especie o genotipo, localidad y fecha. Además, se registraron los siguientes datos de campo: Especie o genotipo, municipio y vereda, coordenadas geográficas (latitud, longitud), altitud, fecha de cada muestreo y observaciones sobre el estado fitosanitario. 

Los frutos colectados se llevaron a neveras para su conservación y transporte al laboratorio. En el laboratorio, los frutos se lavaron y se cortaron transversalmente para extraer la pulpa con las semillas con ayuda de una cuchara. Posteriormente, se realizó el siguiente procedimiento: 1.Se Coloco la pulpa con semillas en recipientes plásticos. 2. Se Dejo fermentar durante 24 a 48 horas a temperatura ambiente (25–28 °C), para facilitar la eliminación del mucílago que recubre las semillas 3. Luego del periodo de fermentación, se enjuagaron con abundante agua hasta obtener semillas limpias 4. Las semillas se extendieron sobre papel filtro y se dejaron secar a temperatura ambiente (25–28 °C) en un lugar ventilado y sombreado por 3 a 5 días. 5.Una vez secas, se almacenaron en sobres de papel identificados con su respectiva información y se almacenaron en nevera a una temperatura de 4 °C hasta su utilización.
DOI: 10.15468/dl.87zddw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dalechampia glechomifolia"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007918-251120083545085/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.29866391
title: Helene Polymer Characterization and Morphology Data

description: Polymer data of microplastics characterized with the Raman Mass Spec along with shape profile.
DOI: 10.6084/m9.figshare.29866391.v2
title: Helene Polymer Characterization and Morphology Data

description: Polymer data of microplastics characterized with the Raman Mass Spec along with shape profile.
DOI: 10.6084/m9.figshare.29866391.v3
title: Helene Polymer Characterization and Morphology Data

description: Polymer data of microplastics characterized with the Raman Mass Spec along with shape profile.
DOI: 10.15468/dl.fzj3yq
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Astraea lobata"
 ]
}

 The dataset includes 139 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007922-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bk52f
title: Occurrence Download

description: A dataset containing 4531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calopogonium mucunoides"
 ]
}

 The dataset includes 4531 records from 290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007919-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ja3jth
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.99443 44.22579,3.99908 44.22579,3.99908 44.22931,3.99443 44.22931,3.99443 44.22579))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009640-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rjgjh8hgrt.1
title: A Structured Bangla Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy

description: The dataset is structured in a tabular format and consists of disease-symptom relationships. it is organized as follows: the first column represents diseases, the remaining columns represent symptoms. Each cell contains a binary value (1 or 0), where 1 indicates that the symptom is associated with the disease and 0 indicates no association.
DOI: 10.17632/rjgjh8hgrt.2
title: A Structured Bangla Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy

description: The dataset is structured in a tabular format and consists of disease-symptom relationships. it is organized as follows: the first column represents diseases, the remaining columns represent symptoms. Each cell contains a binary value (1 or 0), where 1 indicates that the symptom is associated with the disease and 0 indicates no association. There are 85 Unique Diseases, 172 Symptoms along with 758 Disease-Symptoms Relations.
DOI: 10.17632/rjgjh8hgrt.3
title: A Structured Bangla Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy

description: The dataset is structured in a tabular format and consists of disease-symptom relationships. it is organized as follows: the first column represents diseases, the remaining columns represent symptoms. Each cell contains a binary value (1 or 0), where 1 indicates that the symptom is associated with the disease and 0 indicates no association. There are 85 Unique Diseases, 172 Symptoms along with 758 Disease-Symptoms Relations.
DOI: 10.17632/rjgjh8hgrt.4
title: A Structured Bangla Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy

description: The dataset is structured in a tabular format and consists of disease-symptom relationships. it is organized as follows: the first column represents diseases, the remaining columns represent symptoms. Each cell contains a binary value (1 or 0), where 1 indicates that the symptom is associated with the disease and 0 indicates no association. There are 85 Unique Diseases, 172 Symptoms along with 758 Disease-Symptoms Relations.
DOI: 10.17632/rjgjh8hgrt.5
title: A Structured Bangla Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy

description: The dataset is structured in a tabular format and consists of disease-symptom relationships. it is organized as follows: the first column represents diseases, the remaining columns represent symptoms. Each cell contains a binary value (1 or 0), where 1 indicates that the symptom is associated with the disease and 0 indicates no association. There are 85 Unique Diseases, 172 Symptoms along with 758 Disease-Symptoms Relations.
To use the dataset, please cite the following:
R. Zannat, A. Al Shafi and A. Muntakim, "Bridging the Gap in Bangla Healthcare: Machine Learning Based Disease Prediction Using a Symptoms-Disease Dataset," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: 10.1109/ECCE64574.2025.11012950.
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11012950&isnumber=11012919
DOI: 10.15468/dl.4xzxv7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Winteria telescopa Brauer, 1901",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.1447 -34.2546,26.6413 -34.1504,17.9648 -34.1504,17.9648 -34.5378,18.3444 -34.8391,18.8711 -34.8843,19.4851 -35.2658,19.9376 -35.3352,20.7057 -34.9616,21.9281 -34.8692,22.6401 -34.5158,23.3842 -34.6063,23.712 -34.499,24.8223 -34.7143,25.2443 -34.5061,25.7729 -34.5304,26.1447 -34.2546))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009945-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcvfhv
title: Occurrence Download

description: A dataset containing 1383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED, INVASIVE, NATURALISED)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is one of (Taxon match higher rank)"
 ]
 }
 },
 "Country is France",
 "License is one of (CC-BY 4.0, CC0 1.0)",
 "Geometry POLYGON((1.23437 43.43978,1.24474 43.44268,1.24511 43.44358,1.24519 43.45772,1.24338 43.4603,1.23016 43.47203,1.22175 43.46881,1.22648 43.44024,1.23437 43.43978))"
 ]
}

 The dataset includes 1383 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016105-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kz98g9
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Country derived from coordinates, Continent derived from coordinates, Recorded date invalid, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, Multimedia URI invalid, Occurrence status unparsable, Occurrence status inferred from individual count)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chenopodium quinoa",
 "Year 1950-2025"
 ]
}

 The dataset includes 266 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005821-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mw7eh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.3918 35.41219, -115.3917 35.41477, -115.3958 35.41475, -115.3957 35.41231, -115.3918 35.41219))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005822-251120083545085/datasets/export for details.