cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tqp2te
title: Occurrence Download

description: A dataset containing 4034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((85 30, 95 30, 95 35, 85 35, 85 30))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4034 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028964-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q84g7f
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.25_1",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 157 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012958-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13755892
title: BOS Kemdikbud
DOI: 10.5281/zenodo.17623811
title: Primary Survey - Wealth Effect Paper

description: This dataset contains anonymised responses from a household survey conducted for the study “Wealth Effect: The Impact of Capital Gains on Consumption in India.” The survey records age, income, wealth allocation (property, gold, equities), changes in asset values, percentage of gains realised, income changes, and household spending changes. It also includes responses to hypothetical interest-rate scenarios.

Data were collected online between June and August 2024. A total of 115 responses were received, of which 100 valid responses were retained after removing incomplete entries. Raw data, cleaned data, and a variable codebook are included. All responses are fully anonymised.
DOI: 10.5281/zenodo.17623810
title: Primary Survey - Wealth Effect Paper

description: This dataset contains anonymised responses from a household survey conducted for the study “Wealth Effect: The Impact of Capital Gains on Consumption in India.” The survey records age, income, wealth allocation (property, gold, equities), changes in asset values, percentage of gains realised, income changes, and household spending changes. It also includes responses to hypothetical interest-rate scenarios.

Data were collected online between June and August 2024. A total of 115 responses were received, of which 100 valid responses were retained after removing incomplete entries. Raw data, cleaned data, and a variable codebook are included. All responses are fully anonymised.
DOI: 10.15468/dl.vm7jpq
title: Occurrence Download

description: A dataset listing the 1003 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is one of (Belarus, Romania, Poland, Hungary, Slovakia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 1003 records were derived from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037795-251025141854904/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.30615956.v1
title: 中药BEST4SDT

description: A benchmark dataset for evaluating Syndrome Differentiation and Treatment in large language models
DOI: 10.15468/dl.guj658
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triturus anatolicus"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037805-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.v3qkg6e5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (34 records)
DOI: 10.15468/dl.vbrkta
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nothofagus pumilio",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 582 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037806-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64yyc3
title: Occurrence Download

description: A dataset containing 39814059 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 39814059 records from 5200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037787-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dk54zg67dd.1
title: Counting cattle Dataset: Supporting livestock Multi Objetct Tracking

description: Abstract
Livestock farming has made technological advancements in recent times; however, there is still much to improve, as AI and computer vision have not yet fully penetrated the area. Livestock farming involves many routine tasks that require automation for improved control over production processes. Although the scientific community has made significant efforts to support precision livestock farming in recent years, artificial intelligence-based solutions for livestock counting and management remain limited (Myat Noe et al., 2023). Myat Noe et al. (2023) proposed a method for counting black cattle counting using the YOLO (You Only Look Once) object detection framework, in combination with the Detectron2 segmentation model and the DeepSORT (Wojke, Bewley and Paulus, 2017) and StrongSORT (Du et al., 2023) Multi Object Tracking (MOT) solutions. The study highlights the challenges faced in supporting cattle tracking as MOT solutions generally target objects with distinctly visual features. In the context of cattle detection and tracking, the requirements are more demanding due to the high visual similarity in color and shape among individuals. As a result, additional effort is still required to support precision agriculture through cattle identification and monitoring. This includes the creation of custom datasets for livestock MOT since existing public repositories do not meet the specific needs of this application. Moreover, retraining the models and applying additional techniques in combination are still necessary to achieve more satisfactory results (Myat Noe et al., 2023). In this context, the present dataset provides a series of videos and ground truth information for tracking Brangus cattle in a ranch environment in Uruguay. The dataset maintains consistent bounding boxes and identifiers for individual animals, being specifically useful for evaluating the effectiveness of tracking algorithms in support of cattle monitoring through MOT metrics.

DataRecords
The dataset contains 10 preselected videos, totaling a recording time of 3.17 minutes and a total of 93 cattle. It is organized into folders, one containing the videos used for tracking and another folder containing the ground truth, which consists of a CSV file with the processed information and the video on which the analysis was performed. The detection values were stored in the mentioned CSV file, so they can be processed later. Each line represents a detection, with the following information per line:
-The frame number corresponding to the detection
-The identifier number corresponding to the detected object
-The x-coordinate value of the top-left corner of the detected object
-The y-coordinate value of the top-left corner of the detected object
-The width of the bounding box
-The height of the bounding box
-The confidence of the detection

Further information on dataset construction and organization available on the dataset description attached file.
DOI: 10.15468/dl.gzck8e
title: Occurrence Download

description: A dataset containing 16228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-78.20933454762098 -0.4655533365393326, -78.17642217891488 -0.4635436883255441, -78.17600591597417 -0.4628310985448513, -78.17533026008294 -0.4616140275821831, -78.18894836968084 -0.4246051099841316, -78.1897693082587 -0.4236114638969378, -78.19087304246513 -0.4226901686383852, -78.1944561336672 -0.4202107119068923, -78.1963878465335 -0.4190216427876313, -78.2757607480816 -0.4206856986056554, -78.28315436694433 -0.4215844999882901, -78.32817752816518 -0.4335369662740025, -78.32964732931097 -0.4480883931752737, -78.32959263012933 -0.4509555717895754, -78.32927835114964 -0.4520298944092259, -78.32861937345828 -0.4532764046757958, -78.32689062147395 -0.4547627936910468, -78.31560731690786 -0.4641180229118026, -78.31546266058261 -0.4641826745968403, -78.20933454762098 -0.4655533365393326))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 16228 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031431-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15417758
title: Normalized Data for UAV-based Hyperspectral Imaging for PVY Detection

description: Normalized data for manuscript titled "Unmanned Aerial Vehicle-Based Hyperspectral Imaging for Potato Virus Y Detection: Machine Learning Insights" by S. B. Nesar, P. W. Nugent, N. K. Zidack, and B. M. Whitaker.

A separate dataset -- Raw Data for UAV-based Hyperspectral Imaging for PVY Detection -- is required.

The GitHub repository -- BMW-lab-MSU/pvy_detection -- hosts the code that analyzes the dataset.
DOI: 10.5281/zenodo.15417759
title: Normalized Data for UAV-based Hyperspectral Imaging for PVY Detection

description: Normalized data for manuscript titled "Unmanned Aerial Vehicle-Based Hyperspectral Imaging for Potato Virus Y Detection: Machine Learning Insights" by S. B. Nesar, P. W. Nugent, N. K. Zidack, and B. M. Whitaker.

A separate dataset -- Raw Data for UAV-based Hyperspectral Imaging for PVY Detection -- is required.

The GitHub repository -- BMW-lab-MSU/pvy_detection -- hosts the code that analyzes the dataset.
DOI: 10.3886/0b67-x477
title: Namibia Compact - Communal Land Support: Final Data Set
DOI: 10.7939/r3c24qr8w
title: Trucost, 2008-2012

description: Trucost includes corporate date for 7 key areas: waste, GHG emissions, water use, land and water pollutants, air emissions, natural resource use and VOC emissions. Trucost applies a price to each environmental resource based on the impact of that resource and models the productivity and environmental performance of each sector. The calculations vary and are dependent on the dataset coverage (date, company, key data areas). Note: field names/calculations vary from the 2005-2016 dataset . This is an update to the Trucost generic dataset.
DOI: 10.3886/59qv-4718
title: Namibia Compact - Communal Land Support: Final Data Set
DOI: 10.15468/dl.jsgqx3
title: Occurrence Download

description: A dataset containing 83255 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer saccharinum L."
 ]
}

 The dataset includes 83255 records from 586 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031410-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15420134
title: Raw Data for UAV-based Hyperspectral Imaging for PVY Detection

description: Raw data for manuscript titled "Unmanned Aerial Vehicle-Based Hyperspectral Imaging for Potato Virus Y Detection: Machine Learning Insights" by S. B. Nesar, P. W. Nugent, N. K. Zidack, and B. M. Whitaker.

A separate dataset -- Normalized Data for UAV-based Hyperspectral Imaging for PVY Detection -- is required.

The GitHub repository -- BMW-lab-MSU/pvy_detection -- hosts the code that analyzes the dataset.
DOI: 10.5281/zenodo.15420135
title: Raw Data for UAV-based Hyperspectral Imaging for PVY Detection

description: Raw data for manuscript titled "Unmanned Aerial Vehicle-Based Hyperspectral Imaging for Potato Virus Y Detection: Machine Learning Insights" by S. B. Nesar, P. W. Nugent, N. K. Zidack, and B. M. Whitaker.

A separate dataset -- Normalized Data for UAV-based Hyperspectral Imaging for PVY Detection -- is required.

The GitHub repository -- BMW-lab-MSU/pvy_detection -- hosts the code that analyzes the dataset.
DOI: 10.15468/dl.6hv7j3
title: Occurrence Download

description: A dataset containing 324135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Dioscorea Plum. ex L."
 ]
}

 The dataset includes 324135 records from 2486 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031414-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/3754
title: Core-S1RTC-SSL4EO
DOI: 10.57967/hf/5244
title: Core-S1RTC-SSL4EO
DOI: 10.34740/kaggle/dsv/11551273
title: Clientes Cyclistic
DOI: 10.15468/dl.mgscbs
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Geometry POLYGON((120 39,122.99587 39.0047,122.99586 39.03169,123 42,120 42,120 39))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris tenuirostris"
 ]
}

 The dataset includes 70 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009385-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s92zd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.26.10_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009387-260108223611665/datasets/export for details.
DOI: 10.15468/dl.hvujwg
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abramis brama",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 1904"
 ]
}

 The dataset includes 364 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009386-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18247365
title: Baccharis meridionalis Heering & Dusén. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247364
title: Baccharis meridionalis Heering & Dusén. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247124
title: Leuven.cool citizen science urban weather station network: raw data

description: This repository contains the crowdsourced data from the Leuven.cool project, a citizen science network of around 110 low-cost weather stations (Fine Offset WH2600) distributed across Leuven, Belgium. The current repository contains the raw, unprocessed measurements, as received from the sensors. Data has a 16-second resolution. The dataset contains a total of 1,019,965,287 observations, covering the period from June 2019 to March 2025.

The processed, quality-controlled and bias-corrected dataset is published in this resource: Beele, Eva; Reyniers, Maarten; Aerts, Raf; Somers, Ben, 2022, "Replication Data for: Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium", https://doi.org/10.48804/SSRN3F

The following columns are available in the RAWDATA*csv files:




Column name
Description
Unit


OBSID
unique identifier of the measurement
-


ID
station identifier in file STATIONS.csv
-


TEMPF
temperature
Fahrenheit


HUMIDITY
relative humidity
%


DEWPTF
dew point temperature
Fahrenheit


WINDCHILLF
wind chill
Fahrenheit


WINDDIR
wind direction
degrees, 0-360


WINDSPEEDMPH
wind speed
mph


WINDGUSTMPH
wind gust speed
mph


RAININ
rain intensity
inch per hour


DAILYRAININ
rain day total
inch


SOLARRADIATION
solar radiation
W/m²


UV
UV index
-


BAROMIN
air pressure
inches of mercury


DATEUTC
timestamp of reception of measurement by the server
UTC


DATEUTC_STAT
timestamp of measurement as reported by the station
UTC




 

Data is grouped into files, each covering a three-month period (calendar quarters). It is recommended to use the timestamp of the measurement's reception by the server (DATEUTC) as the valid timestamp. Missing values are represented as NULL.

 

The file STATIONS.csv contains metadata about the stations, with the following columns:




ID
unique identifier of the station used in RAWDATA files


WOWID
corresponding identifier in the UK Met Office's Weather Observations Website (WOW)


LATITUDE
latitude of the station


LONGITUDE
longitude of the station


ALTITUDE
altitude of the station
DOI: 10.5281/zenodo.18247382
title: Baccharis mesoneura  DC. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5517/ccybvrv
title: CCDC 874378: Experimental Crystal Structure Determination

description: Related Article: M.Maiti, D.Sadhukhan, S.Thakurta, S.Roy, G.Pilet, R.J.Butcher, A.Nonat, L.J.Charbonniere, S.Mitra|2012|Inorg.Chem.|51|12176|doi:10.1021/ic3012958
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.18247380
title: Baccharis mesoneura  DC. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.6069/sq0n-1x32
title: Proteomic Profiling of Human Omental and Subcutaneous Adipose Tissue in Individuals with a Broad Range of Body-Mass Indexes (BMIs)

description: Obesity is a major public health challenge affecting an ever-increasing proportion of the US population. It is associated with a range of serious comorbidities and is estimated to have cost the US over $173 billion in medical expenses in 2019 alone. The causal mechanisms of comorbidities are not well understood, nor are the roles of different adipose depot locations. To facilitate a deeper understanding of these factors, we deliver a comprehensive and quantitative proteomic dataset presented at the peptide and protein level. Data was acquired from matched subcutaneous and omental adipose tissues from metabolically healthy individuals with no comorbidities and covering a wide range of BMIs  . Adipose tissue samples were collected during elective surgeries and immediately processed for histology or flash frozen and stored at -80oC until proteomic analysis by data-independent acquisition LC-MS/MS . Internal and external quality control systems ensured high quality data. All data presented are available via ProteomeXchange – from raw data through to processed quantitative values for each peptide and protein measured. This dataset will allow new insights into biological differences between lean and obese states – captured before the onset of comorbidities. Matched intra-individual sampling across fat depots additionally offers a rare opportunity to uncover depot-specific physiological signatures.
DOI: 10.15468/dl.7fksqv
title: Occurrence Download

description: A dataset containing 284563 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia helioscopia"
 ]
}

 The dataset includes 284563 records from 2180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009268-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkaemd
title: Occurrence Download

description: A dataset containing 1770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.7_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 1770 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012107-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xh5bbq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus sterilis",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034424-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62hmgn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Virginia Polytechnic Institute and State University Insect Collection",
 "Country is Croatia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034425-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16931552
title: KGCLMDA
DOI: 10.15468/dl.fd27c6
title: Occurrence Download

description: A dataset containing 291469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 291469 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034400-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.