cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17703216
title: Dataset - Podcast

description: Histórico geral de desempenho do podcast (disponível em: Arquivo: OFichamento-Umolhardaquiloquelirelievoltareiumdiaalerdenovo._NoSpotify_históricogeral.csv), considerando:

Variáveis principais:

§  Reproduções (plays);

§  Streams;

§  Tempo de consumo (em horas);

§  Seguidores;

§  Série temporal diária (01/10/2024 a 24/11/2025, 420 dias).

 

Localização geográfica da audiência (disponível em Arquivo: OFichamento-UmOlharDaquiloQueLiReliEVoltareiUmDiaALerDeNovo._LocalizacaoGeografica_históricogeral.csv), considerando:

Variáveis: 

§  país e porcentagem de streamings.

 

Reproduções por aplicativo (disponível em: Arquivo: ReproducoesPorApp_históricogeral.csv), considerando:

Variáveis: 

§  app e porcentagem de streamings (Spotify, navegador web, Spotify for Creators).

 

Reproduções por dispositivo (disponível em: Arquivo: ReproducoesPorDispositivo_históricogeral.csv), considerando: 

Variáveis: 

§  tipo de dispositivo e 

§  porcentagem de streamings (Android, iPhone, Web, Mac, Windows, outros).

 

Classificação de episódios (disponível em: Arquivo: OFichamento-UmOlharDaquiloQueLiReliEVoltareiUmDiaALerDeNovo._ClassificacoesDeEpisodios_históricogeral.csv), considerando:

Variáveis:

§  Título do episódio;

§  ID do episódio;

§  Streams e downloads por episódio;

§  Data/hora de publicação;

§  Campo “Classificação” (ordem de listagem na série);

§  URI do episódio.
DOI: 10.15468/dl.4ku522
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "GadmGid is USA.20_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus americanus",
 "Year 2015-2025"
 ]
}

 The dataset includes 216 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008136-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egaztd
title: Occurrence Download

description: A dataset containing 1711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aptenodytes patagonicus"
 ]
}

 The dataset includes 1711 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008137-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17645674
title: Polygon Similarity Benchmark Dataset

description: Dataset Description: Polygon Similarity Benchmark Dataset

Overview

This dataset provides a curated collection of polygonal shapes derived from SpatialHadoop GIS dataset: Parks, Water Bodies, and Sports.It is intended to support research in polygon representation learning, geometric similarity search, and spatial indexing.

The dataset includes raw polygonal geometries, pre-computed similarity ground truth, and supplementary documentation. For each dataset category, 80% of the polygons were used to build the similarity index, while the remaining 20% were reserved exclusively for evaluation.

Dataset Contents

The distributed ZIP package contains the following files:

1. ShapeToVecResults2.pdf

A supplementary document containing additional experimental results referenced in the  publication.

2. poly_data.zip

A collection of polygonal GIS datasets extracted from SpatialHadoop. These represent the input geometries used for similarity computation.

3. Ground Truth Files

These archives contain precomputed shape similarity results for each domain:





parks.tar




water_bodies.tar




sports_all-query.tar.gz



Each ground-truth archive consists of multiple text files, where each line represents a similarity query result.

How to Extract the Archives

You can extract any of the above `.tar` or `.tar.gz` archives using the methods below, depending on your operating system.

Linux

Use the tar command in the Terminal:

tar -xvf archive_name.tar
tar -xzvf archive_name.tar.gz

This extracts the files into the current directory.

macOS

Extraction commands are the same as Linux. Open the Terminal and run:

tar -xvf archive_name.tar
tar -xzvf archive_name.tar.gz

You may also double-click the archive in Finder to extract it automatically.

Windows

Open the PowerShell (Windows 10 and later):

tar -xvf archive_name.tar
tar -xzvf archive_name.tar.gz

You may also use your preferred uncompress software on Windows (e.g., 7-Zip, WinRAR, or PeaZip) to extract both .tar and .tar.gz archives.

Ground Truth Format

Each line in a ground-truth file encodes:

<input_polygon_id> <similar_polygon_id_1> <similar_polygon_id_2> ... <similar_polygon_id_k>

 







The first value is the ID of the input polygon.




The subsequent values are the IDs of polygons determined to be most similar based on geometric shape similarity.




The list of similar polygons is sorted in decreasing order of similarity, with the most similar polygon appearing first.



These ground-truth lists were generated using geometric similarity (Jaccard Similarity) metrics for evaluation and benchmarking of vector-based polygon encodings.

Intended Use

This dataset is primarily designed for:





Research on polygon representation learning, embedding models, and shape encoders.




Benchmarking approximate nearest-neighbor (ANN) algorithms on spatial shape data.




Studying spatial indexing, vector search strategies, and geometric similarity measures.




GIS analytics, spatial data mining, and machine learning applications involving polygonal geometries.
DOI: 10.5281/zenodo.11522173
title: Polygon Similarity Benchmark Dataset

description: Dataset Description: Polygon Similarity Benchmark Dataset

Overview

This dataset provides a curated collection of polygonal shapes derived from SpatialHadoop GIS dataset: Parks, Water Bodies, and Sports.It is intended to support research in polygon representation learning, geometric similarity search, and spatial indexing.

The dataset includes raw polygonal geometries, pre-computed similarity ground truth, and supplementary documentation. For each dataset category, 80% of the polygons were used to build the similarity index, while the remaining 20% were reserved exclusively for evaluation.

Dataset Contents

The distributed ZIP package contains the following files:

1. ShapeToVecResults2.pdf

A supplementary document containing additional experimental results referenced in the  publication.

2. poly_data.zip

A collection of polygonal GIS datasets extracted from SpatialHadoop. These represent the input geometries used for similarity computation.

3. Ground Truth Files

These archives contain precomputed shape similarity results for each domain:





parks.tar




water_bodies.tar




sports_all-query.tar.gz



Each ground-truth archive consists of multiple text files, where each line represents a similarity query result.

How to Extract the Archives

You can extract any of the above `.tar` or `.tar.gz` archives using the methods below, depending on your operating system.

Linux

Use the tar command in the Terminal:

tar -xvf archive_name.tar
tar -xzvf archive_name.tar.gz

This extracts the files into the current directory.

macOS

Extraction commands are the same as Linux. Open the Terminal and run:

tar -xvf archive_name.tar
tar -xzvf archive_name.tar.gz

You may also double-click the archive in Finder to extract it automatically.

Windows

Open the PowerShell (Windows 10 and later):

tar -xvf archive_name.tar
tar -xzvf archive_name.tar.gz

You may also use your preferred uncompress software on Windows (e.g., 7-Zip, WinRAR, or PeaZip) to extract both .tar and .tar.gz archives.

Ground Truth Format

Each line in a ground-truth file encodes:

<input_polygon_id> <similar_polygon_id_1> <similar_polygon_id_2> ... <similar_polygon_id_k>

 







The first value is the ID of the input polygon.




The subsequent values are the IDs of polygons determined to be most similar based on geometric shape similarity.




The list of similar polygons is sorted in decreasing order of similarity, with the most similar polygon appearing first.



These ground-truth lists were generated using geometric similarity (Jaccard Similarity) metrics for evaluation and benchmarking of vector-based polygon encodings.

Intended Use

This dataset is primarily designed for:





Research on polygon representation learning, embedding models, and shape encoders.




Benchmarking approximate nearest-neighbor (ANN) algorithms on spatial shape data.




Studying spatial indexing, vector search strategies, and geometric similarity measures.




GIS analytics, spatial data mining, and machine learning applications involving polygonal geometries.
DOI: 10.25345/c5fj29s2t
title: MassIVE MSV000100015 - Defective nitrogenous waste clearance culminates hepatocellular carcinoma
title: Nontargeted metabolomics and 15N-stable isotope tracing of mouse liver cancer models.
DOI: 10.5281/zenodo.17714476
title: CAST-SF LoRaWAN Performance Dataset

description: This dataset contains simulation results evaluating CAST-SF (Coordinated Spreading-Factor Scheduling and Gateway Load Balancing) for dense LoRaWAN deployments. The dataset includes 2,160 simulation runs across 108 configurations, comparing CAST-SF against three baseline approaches: standard Adaptive Data Rate (ADR), gateway diversity, and LoRaCode.



Simulation Setup






Simulator: ns-3 LoRaWAN module




Path-loss model: WINNER II suburban macro with 6 dB log-normal shadowing




Regional parameters: EU868 band (125 kHz channel bandwidth, coding rate 4/5, transmit power 14 dBm)




Statistical rigor: 20 independent simulation seeds per configuration with 95% confidence intervals





Deployment Scenarios






Urban: 1.5 km² grid, 300 Class-A devices, 3-5 gateways at 30 m height




Rural: 25 km² area, 120 devices, 2-4 gateways




Campus: 0.5 km² area, 42 devices, 2-4 gateways





Traffic Loads






Light: 300 s inter-arrival time (Poisson process)




Medium: 60 s inter-arrival time




Heavy: 30 s inter-arrival time





Performance Metrics






Packet Delivery Ratio (PDR) with 95% confidence intervals




Average latency (milliseconds)




Gateway load imbalance (coefficient of variation)




Duty-cycle compliance (device and gateway airtime)




Energy per delivered packet




Fairness index (Jain's fairness index on per-device PDR)
DOI: 10.5281/zenodo.17714475
title: CAST-SF LoRaWAN Performance Dataset

description: This dataset contains simulation results evaluating CAST-SF (Coordinated Spreading-Factor Scheduling and Gateway Load Balancing) for dense LoRaWAN deployments. The dataset includes 2,160 simulation runs across 108 configurations, comparing CAST-SF against three baseline approaches: standard Adaptive Data Rate (ADR), gateway diversity, and LoRaCode.



Simulation Setup






Simulator: ns-3 LoRaWAN module




Path-loss model: WINNER II suburban macro with 6 dB log-normal shadowing




Regional parameters: EU868 band (125 kHz channel bandwidth, coding rate 4/5, transmit power 14 dBm)




Statistical rigor: 20 independent simulation seeds per configuration with 95% confidence intervals





Deployment Scenarios






Urban: 1.5 km² grid, 300 Class-A devices, 3-5 gateways at 30 m height




Rural: 25 km² area, 120 devices, 2-4 gateways




Campus: 0.5 km² area, 42 devices, 2-4 gateways





Traffic Loads






Light: 300 s inter-arrival time (Poisson process)




Medium: 60 s inter-arrival time




Heavy: 30 s inter-arrival time





Performance Metrics






Packet Delivery Ratio (PDR) with 95% confidence intervals




Average latency (milliseconds)




Gateway load imbalance (coefficient of variation)




Duty-cycle compliance (device and gateway airtime)




Energy per delivered packet




Fairness index (Jain's fairness index on per-device PDR)
DOI: 10.15468/dl.n7xuza
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bolboschoenus fluviatilis",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008139-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36waew
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scolionema",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008138-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17714589
title: LINF_290026800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.17714588
title: LINF_290026800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.prngku
title: Occurrence Download

description: A dataset listing the 13078 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "StateProvince is Cundinamarca",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 13078 records were derived from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008124-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34s92y
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The PUCV ornithological collection"
 ]
}

 The dataset includes 952 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008140-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uws7t5
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fimbristylis autumnalis"
 ]
}

 The dataset includes 60 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008143-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gz52g
title: Occurrence Download

description: A dataset containing 21046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eretmochelys imbricata",
 "Year 2000-2025"
 ]
}

 The dataset includes 21046 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008141-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzfyy4
title: Occurrence Download

description: A dataset containing 17357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carcharodon carcharias"
 ]
}

 The dataset includes 17357 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008142-251120083545085/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/13867622
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.25934/pr00004681.0
title: Available datapackage for study 'Efficacy, Tolerability and Safety of Galantamine in the Treatment of Alzheimer's Disease'

description: The purpose of this study is to evaluate the safety and effectiveness of two doses of galantamine (a drug for treating dementia) versus placebo in the treatment of patients with Alzheimer's disease.
DOI: 10.15468/dl.ez65yd
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eleocharis parodii"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008144-251120083545085/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.30712832
title: NSF key informants data set

description: <b>An assessment of financial practices in the National Skills Fund</b>
DOI: 10.6084/m9.figshare.30712832.v1
title: NSF key informants data set

description: <b>An assessment of financial practices in the National Skills Fund</b>
DOI: 10.58033/3w7y-fw08
title: Raltegravir Pharmacokinetics During Pregnancy (dataset)
DOI: 10.15468/dl.6uchvs
title: Occurrence Download

description: A dataset containing 515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bothriochloa bladhii",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008145-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/buvvnl
title: Colección Taxonómica Central del Museo Entomológico UNAB, familia Berytidae

description: El Museo Entomológico UNAB contiene cerca de 180.000 especímenes con las siguientes características de conservación: 153.000 montados en alfiler y almacenados en 980 gavetas de madera tipo Cornell, ubicadas en seis paneles de compactadores y 395 cajas misceláneas en estanterías; 10.430 montadas en láminas: Coccomorpha (6.600 láminas), Collembola (1.700), Aphidomorpha (1400), Aleyrodomorpha (500), Thysanoptera (90), Acari (90), Psyllomorpha (50); 18.400 entre larvas y adultos, envasados en 4.600 frascos con alcohol, y 96 especímenes tipo montados en alfiler, que representan 46 especies.Aproximadamente, 20.000 especímenes se encuentran catalogados en la base digital de la Colección Taxonómica Central (CTC) del Museo UNAB, 17.000 de los cuales se encuentran identificados por especialistas, a nivel de género o especie. Dichas identificaciones representan un total de 4.000 especies dentro de 19 órdenes de insectos; así como siete especies de Acari en dos familias.En los recursos del apartado de Hemiptera de la colección UNAB se documentan registros biológicos de las siguientes familias dentro del orden Hemiptera: Aetalionidae, Alydidae, Anthocoridae, Aradidae, Berytidae, Blissidae, Cercopidae, Cicadellidae, Cicadidae, Cixiidae, Clastopteridae, Coreidae, Cydnidae, Derbidae, Fulgoridae, Issidae, Largidae, Lygaeidae, Membracidae, Miridae, Pachygronthidae, Pentatomidae, Pyrrhocoridae, Reduviidae, Rhopalidae, Rhyparochromidae, Scutelleridae.Los especímenes en general de las colecciones del Museo tienen fecha de recolección desde 1950 hasta la actualidad y son parte de permisos de recolección asociados a proyectos dirigidos en los agroecosistemas de Colombia. Todos los especímenes asociados a los registros se encuentran actualmente depositados en el museo entomológico UNAB, de la Facultad de Ciencias Agrarias de la Universidad Nacional de Colombia, sede Bogotá.
DOI: 10.15468/dl.rsjt7y
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "GadmGid is USA.20_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes vulpes",
 "Year 2015-2025"
 ]
}

 The dataset includes 364 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008148-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8aej2
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leontopithecus caissara"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008146-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58033/fjpq-em93
title: Maraviroc Pharmacokinetics in HIV-1–Infected Pregnant Women (dataset)
DOI: 10.15468/dl.u6q2uy
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lontra canadensis sonora"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008150-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/kbwcsv
title: Colección de Reptiles (Reptilia) del Museo de Historia Natural de la Universidad de Caldas (MHN-UCa-R), Colombia

description: La Colección de Reptiles del Museo de Historia Natural de la Universidad de Caldas (MHN-UCa-R) alberga 1291 registros catalogados, obtenidos mediante proyectos de investigación de docentes y estudiantes, actividades de docencia y proyectos de consultorías ambientales. La mayoría de los registros (n = 896) proceden del departamento de Caldas, pero se cuenta con registros para 21 departamentos más. El conjunto de datos incluye información de tres órdenes: Crocodylia, Testudines y Squamata. También se incluye información de 32 familias (31 nativas y 1 exótica: Pythonidae), 94 géneros (92 nativos y 2 con especies exóticas: Malayophython y Hemidactylus) y 183 especies. Los especímenes se encuentran preservados en frascos con alcohol al 70 %, y en menor proporción en seco (pieles, esqueletos, caparazones). Se resalta el papel que la colección MHN-UCa-R ha desempeñado en la construcción del conocimiento de este grupo faunístico a escala regional y nacional, con al menos 20 publicaciones en revistas científicas en los últimos 20 años.
DOI: 10.15468/dl.zmnnhj
title: Occurrence Download

description: A dataset containing 3445 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Parc naturel régional du Marais poitevin-Suivi des lépidoptères dans le Marais Poitevin"
 ]
}

 The dataset includes 3445 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008151-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17714641
title: Iraqi Election Results, Arabic original, 2025
DOI: 10.5281/zenodo.17714640
title: Iraqi Election Results, Arabic original, 2025