cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24431/rw1k8ev
title: Cormorant Oceanography Project: Biologging Data from Brandt's and Pelagic Cormorants (Urile penicillatus, U. pelagicus), Columbia River, USA, 2019-2022

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 Brandt’s and pelagic cormorants tagged in the Columbia River estuary during the 2019 and 2022 nesting season. Cormorants were fitted with GPS-GSM tags with integrated temperature, depth, and IMU sensors and were tracked through their post-breeding migration.
DOI: 10.15468/dl.tnyh2n
title: Occurrence Download

description: A dataset containing 57364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.13.66_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1000-2024"
 ]
}

 The dataset includes 57364 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059327-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ibkr37
title: Occurrence Download

description: A dataset containing 89251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 {
 "or" : [
 "TaxonKey is Odocoileus virginianus (Zimmermann, 1780)",
 "TaxonKey is Anura",
 "TaxonKey is Chelonoidis chilensis (Gray, 1870)"
 ]
 }
 ]
}

 The dataset includes 89251 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004341-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lmdfeb
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "TaxonKey is Syzygium panzeri Merr. & L.M.Perry"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047924-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brthfb
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "TaxonKey is Mabuya cochabambae Dunn, 1935"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001005-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d1c9fs
title: Occurrence Download

description: A dataset containing 1086 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Managing open habitats for species conservation: the role of wild ungulate grazing, small-scale disturbances, and scale"
 ]
}

 The dataset includes 1086 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001005-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.579z0c
title: Occurrence Download

description: A dataset containing 7924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Otoliths Reference Collection. CBMR-AFORO (ICM-CSIC)"
 ]
}

 The dataset includes 7924 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001005-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11406504
title: Dataset para "Mapeamento Sistemático da Literatura Acerca de Dojos"

description: Documento contendo o detalhamento das etapas de seleção de estudos e extração de dados de um mapeamento sistemático da literatura (MSL) conduzido acerca do emprego de dojos em computação.

O protocolo, resultados e discussão do MSL podem ser encontrados no Apêndice A da dissertação intitulada "ADoTe: Abordagem para o ensino e aprendizagem de critérios de teste da técnica funcional apoiada por Dojo de Teste" (de autoria de Vladimir Belinski) disponibilizada no Repositório Institucional da Universidade Tecnológica Federal do Paraná (https://repositorio.utfpr.edu.br/jspui/).
DOI: 10.5281/zenodo.11406505
title: Dataset para "Mapeamento Sistemático da Literatura Acerca de Dojos"

description: Documento contendo o detalhamento das etapas de seleção de estudos e extração de dados de um mapeamento sistemático da literatura (MSL) conduzido acerca do emprego de dojos em computação.

O protocolo, resultados e discussão do MSL podem ser encontrados no Apêndice A da dissertação intitulada "ADoTe: Abordagem para o ensino e aprendizagem de critérios de teste da técnica funcional apoiada por Dojo de Teste" (de autoria de Vladimir Belinski) disponibilizada no Repositório Institucional da Universidade Tecnológica Federal do Paraná (https://repositorio.utfpr.edu.br/jspui/).
DOI: 10.15468/dl.zs4pz5
title: Occurrence Download

description: A dataset containing 1008 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crossoptilon crossoptilon (Hodgson, 1838)"
 ]
}

 The dataset includes 1008 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001804-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfutgq
title: Occurrence Download

description: A dataset containing 76426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Falco tinnunculus Linnaeus, 1758",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((19.51 47.46, 6.41 47.46, 6.41 36.21, 19.51 36.21, 19.51 47.46)))"
 ]
}

 The dataset includes 76426 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001803-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34965/i53350
title: 20235034-6
DOI: 10.57745/dy4ukn
title: Axiom_TaBW420_correspondanceIDS.txt

description: All alternative names of markers : AX-* Affx-* cfn*
DOI: 10.57745/zgsihq
title: Axiom_TaBW420_ctx.tab

description: Context sequences of 420k markers. 75nt sequences
DOI: 10.15468/dl.mnajzg
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crossoptilon auritum (Pallas, 1811)"
 ]
}

 The dataset includes 597 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001805-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e217181v1
title: Inferring Patterns of Influence on Climate and Energy Policy in the US State of Virginia (2015-2023)

description: As in comparable jurisdictions, alongside lobbying and charitable giving, interest group donations play big a part in the climate and energy policy process in the US state of Virginia. We trace the trajectory of 815 nominally progressive and regressive climate and energy bills through the VA legislature over the 2015-2023 period, identifying four committees as veto-points. Legislators associated with the veto-points (bill sponsors, committee chairs, committee members) are then identified, and linked to donations from utility and philanthropic (oligarchic) actors to generate donor - legislator (elite) communities. The most prolific donor community centers on the state’s quasi-monopoly utility, Dominion Energy, which appears to use a reward and retain strategy for legislators, especially committee chairs, while also opportunistically fine-tuning donations according to partisan control of legislative chambers and the governorship. Meanwhile, environmental NGOs and philanthropic advocacy groups form donor-communities that fine-tune donations to progressive bill sponsors, an apparently less effective approach. While the sheer volume of donations from Dominion suggests a high-volume and intensity donation strategy, notably in the lead-up to the Virginia Clean Economy Act of 2020, we also note that philanthropic donations oriented to ending Dominion’s quasi-monopoly exert a growing influence on the climate and energy policy process in the state.
DOI: 10.3886/e217181
title: Inferring Patterns of Influence on Climate and Energy Policy in the US State of Virginia (2015-2023)

description: As in comparable jurisdictions, alongside lobbying and charitable giving, interest group donations play big a part in the climate and energy policy process in the US state of Virginia. We trace the trajectory of 815 nominally progressive and regressive climate and energy bills through the VA legislature over the 2015-2023 period, identifying four committees as veto-points. Legislators associated with the veto-points (bill sponsors, committee chairs, committee members) are then identified, and linked to donations from utility and philanthropic (oligarchic) actors to generate donor - legislator (elite) communities. The most prolific donor community centers on the state’s quasi-monopoly utility, Dominion Energy, which appears to use a reward and retain strategy for legislators, especially committee chairs, while also opportunistically fine-tuning donations according to partisan control of legislative chambers and the governorship. Meanwhile, environmental NGOs and philanthropic advocacy groups form donor-communities that fine-tune donations to progressive bill sponsors, an apparently less effective approach. While the sheer volume of donations from Dominion suggests a high-volume and intensity donation strategy, notably in the lead-up to the Virginia Clean Economy Act of 2020, we also note that philanthropic donations oriented to ending Dominion’s quasi-monopoly exert a growing influence on the climate and energy policy process in the state.
DOI: 10.3886/e217181v2
title: Inferring Patterns of Influence on Climate and Energy Policy in the US State of Virginia (2015-2023)

description: As in comparable jurisdictions, alongside lobbying and charitable giving, interest group donations play big a part in the climate and energy policy process in the US state of Virginia. We trace the trajectory of 815 nominally progressive and regressive climate and energy bills through the VA legislature over the 2015-2023 period, identifying four committees as veto-points. Legislators associated with the veto-points (bill sponsors, committee chairs, committee members) are then identified, and linked to donations from utility and philanthropic (oligarchic) actors to generate donor - legislator (elite) communities. The most prolific donor community centers on the state’s quasi-monopoly utility, Dominion Energy, which appears to use a reward and retain strategy for legislators, especially committee chairs, while also opportunistically fine-tuning donations according to partisan control of legislative chambers and the governorship. Meanwhile, environmental NGOs and philanthropic advocacy groups form donor-communities that fine-tune donations to progressive bill sponsors, an apparently less effective approach. While the sheer volume of donations from Dominion suggests a high-volume and intensity donation strategy, notably in the lead-up to the Virginia Clean Economy Act of 2020, we also note that philanthropic donations oriented to ending Dominion’s quasi-monopoly exert a growing influence on the climate and energy policy process in the state.
DOI: 10.15468/dl.jm83ce
title: Occurrence Download

description: A dataset containing 37091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ardea alba Linnaeus, 1758",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((19.51 47.46, 6.41 47.46, 6.41 36.21, 19.51 36.21, 19.51 47.46)))"
 ]
}

 The dataset includes 37091 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001806-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14893445
title: Knowledge-based Citation Reasoning for Biomedical Domain
DOI: 10.5281/zenodo.14893446
title: Knowledge-based Citation Reasoning for Biomedical Domain
DOI: 10.5281/zenodo.12772868
title: Spatio-temporal dynamics of attacks around deaths of wolves: A statistical assessment of lethal control efficiency in France

description: This repository contains the R code to run the analyses described in the manuscript: "Spatio-temporal dynamics of attacks around deaths of wolves: A statistical assessment of lethal control efficiency in France".  The datasets have anonymous spatial coordinates to respect confidentiality. Therefore, the preliminary preparation of the data is not showed in the public codes. The file Kernel_wolf_culling_attacks_p.R contains the analyses. The file Figures.R produce part of the figures from the manuscript.
DOI: 10.18112/openneuro.ds005920.v1.0.5
title: A naturalistic fMRI dataset in response to puclic speaking
DOI: 10.17632/z4js67w5vc.1
title: Plasmonic immunosensor optical microscopy and machine vision to detect SARS-CoV-2 virus

description: 1. Overview and Data Source

This dataset contains optical microscopy images of plasmonic biosensors based on gold nanoislands (AuNI) on glass substrates, used for detecting SARS-CoV-2 virus particles. It also includes extracted image features for machine learning-based detection. The dataset was generated for the study by Oiticica P. R. A. et al. (2025) (https://doi.org/10.1021/acssensors.4c03451). The Images were acquired using a Zeiss Axio Lab.A1 microscope with a 40x objective (400X magnification). Various handcrafted and deep-learning-based Convolutional Neural Networks (CNN) were used for feature extraction. Machine learning models, including LDA, KNN, SVM, and RF, were trained to classify images based on SARS-CoV-2 virus concentration. The highest classification accuracy (91.6%) was achieved using the MobileNetV3_small feature extractor combined with an SVM classifier, to detect the SARS-CoV-2 virus with concentrations as low as 1 PFU/mL. This approach has potential applications for detecting other viruses and analytes.
2. Data Structure and Description

This dataset contains 858 optical microscopy images in .TIF format (RGB, 1920×2560 resolution), captured under standardized conditions. The test categories are:

Positive tests: SARS-CoV-2 virus at dilutions from 1×10⁻⁴ to 1×10⁵ PFU/mL (10 classes).
Negative tests: RSV virus (1×10³ to 1×10⁵ PFU/mL), blank tests with PBS/MgCl₂, and probe images (immunosensors before testing).

File Naming Format: {sensor_number}_{label_name}.tif
Example: s012_cov_03.tif refers to an image of sensor s012 after testing with SARS-CoV-2 at dilution 03. The correspondence between dilution numbers and PFU/mL is in imageinfo.csv table.

The Features folder contains tables (.h5 format) with extracted image features for all images, with a table for each computer vision method.

Feature Table Columns:

filename: Image filename.
label_name: Test label combining analyte and dilution code.
concentration: PFU/mL concentration.
analyte: Analyte type ('CoV inat', 'RSV inat', 'PBSMgCl2', and 'No' for immunosensor before tests.)
vision_type: Feature extraction method (Handcrafted or CNN).
feature_vector_rgb: Feature vector extracted from RGB images.
feature_vector_gray: Feature vector extracted from grayscale images.

The table imageinfo.csv contains the first 4 columns of the feature tables.

3. Citation

If you use this dataset, please cite our paper:
Oiticica, Pedro R. A. and Angelim, Monara K. S. C. and Soares, Juliana C. and Soares, Andrey C. and Proença-Módena, José L. and Bruno, Odemir M. and Oliveira Jr, Osvaldo N. (2025). "Using Machine Learning and Optical Microscopy Image Analysis of Immunosensors Made on Plasmonic Substrates: Application to Detect the SARS-CoV‑2 Virus". ACS Sensors. DOI: 10.1021/acssensors.4c03451.

5. External Sources

GitHub: https://github.com/praoiticica/COVID-plasmonic-sensor-ML.
DOI: 10.15468/dl.8xu3qr
title: Occurrence Download

description: A dataset containing 18419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombus Latreille, 1802",
 "Country is Japan",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 18419 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001807-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgvfnb
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ambystoma mexicanum (Shaw & Nodder, 1798)"
 ]
}

 The dataset's 1 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001802-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzw7ye
title: Occurrence Download

description: A dataset containing 24714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cettia cetti (Temminck, 1820)",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((19.51 47.46, 6.41 47.46, 6.41 36.21, 19.51 36.21, 19.51 47.46)))"
 ]
}

 The dataset includes 24714 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001808-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14893714
title: APXS derived geochemistry of shallow water lens bodies within the Mirador formation, Gale crater, Mars – Evidence for intermittent wet periods and implications for the water record - Supplemental Data Files

description: Supplemental Data files, showing full datasets and/or calculations

 



Table S1. APXS compositional data, z-score analysis and % change (Δ), for targets from sol 3078 to sol 4028.  




Table S2 lists targets included in the calculation of mean Mount Sharp group, using modified z-score analysis (Text S3) to identify outliers. 




Table S3 shows details for variance calculation and assessment of statistical significance. 




Table S4 shows the iterative modelling used for Section 4.2.
DOI: 10.15468/dl.yjph47
title: Occurrence Download

description: A dataset containing 92306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buteo buteo (Linnaeus, 1758)",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((19.51 47.46, 6.41 47.46, 6.41 36.21, 19.51 36.21, 19.51 47.46)))"
 ]
}

 The dataset includes 92306 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001809-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15124/24fd1762-0e98-4773-a74c-7dd87ef59aa8
title: Dataset for Yearlong study of indoor VOC variability: Insights into spatial, temporal, and contextual dynamics of indoor VOC exposure

description: Volatile Organic Compound concentrations used in the study.
DOI: 10.15468/dl.j9u8y2
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (fee3882f-5360-4f01-a1ca-767c48fa629c, 90fd6680-349f-11d8-aa2d-b8a03c50a862, d0e01e0c-7e8c-49aa-aeed-15fab7dfee46, ef807e08-c954-487f-9e70-3cc75f173812, 0ed04352-6745-4665-9e11-7117ee91a96b, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, 87a78f75-b63e-4c3e-9ecf-7557e13f090e, ae447c50-b8a8-11d8-92a4-b8a03c50a862)",
 "TaxonKey is Coffea arabica L."
 ]
}

 The dataset includes 103 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001810-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbmfst
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.20365 -6.48457,-48.79635 -6.48457,-48.79635 4.48457,-76.20365 4.48457,-76.20365 -6.48457))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fluviphylax simplex Costa, 1996"
 ]
}

 The dataset includes 76 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001812-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64yey6
title: Occurrence Download

description: A dataset containing 77217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalacrocorax carbo (Linnaeus, 1758)",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((19.51 47.46, 6.41 47.46, 6.41 36.21, 19.51 36.21, 19.51 47.46)))"
 ]
}

 The dataset includes 77217 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001811-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5urd8
title: Occurrence Download

description: A dataset containing 436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crossoptilon mantchuricum Swinhoe, 1863"
 ]
}

 The dataset includes 436 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001813-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/4559
title: cv10-uk-testset-clean
DOI: 10.34740/kaggle/dsv/10795730
title: Mumbai Andheri House Rent Dataset