cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/fgk-8jc-tcy
title: Acanthinula aculeata (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v7p-0dg-f8b
title: Helicodonta obvoluta obvoluta (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gej-yc7-se0
title: Tritia denticulata (A. Adams, 1852)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gvq-9b5-980
title: Reticunassa paupera (A. Gould, 1850)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ac1-h5m-2wd
title: Nassarius persicus (E. von Martens, 1874)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g4l-pfs-5a1
title: Nassarius hirasei Kuroda & Habe, 1952

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kvv-6z0-fg9
title: Nassarius hirasei Kuroda & Habe, 1952

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xqc-f7v-37m
title: Nassarius tabescens (Marrat, 1880)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5v9-m7v-2d9
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v7n-2vt-yfg
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mdf-va0-7z7
title: Iacra petiti Dautzenberg, 1923

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zp2-37l-3gx
title: Nassarius pachychilus (Maltzan, 1884)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.jvw8aw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Baetodes cerejeiras",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031870-260208012135463/datasets/export for details.
DOI: 10.15468/dl.zkax6m
title: Occurrence Download

description: A dataset containing 41052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Montastraea",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 41052 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031869-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18468810
title: CIRCE Accented Portuguese Speech Stimuli Corpus

description: This dataset contains a corpus of audio accented speech stimuli in Portugues, developed within the CIRCE project for use in perceptual experiments on accent perception and discrimination.

The corpus includes 18 recordings from both male and female speakers who are native speakers of Portuguese (L1) as well as speakers who acquired Portuguese as a second language (L2). 6 accents of Portuguese as L1 and 3 accents of Portuguese as L2 are represented. All speakers read the same standardized text; individual recordings have an approximate duration of 23 seconds and are organized by speakers’ linguistic background (L1/L2).

The dataset is designed to support matched-guise and verbal-guise experiments, as well as research and educational activities addressing accent perception, linguistic diversity, and accent discrimination.

Important Notice on Access Conditions

The audio files contain identifiable voice data and are therefore subject to data protection and ethical regulations. For this reason, access to the recordings is restricted.

Access may be granted, upon request, exclusively for non-commercial scientific research purposes and in accordance with the informed consent provided by participants. Requests must specify the research objectives, institutional affiliation, and intended use of the materials, and are subject to approval by the designated data controllers.

Redistribution of the recordings and the creation of derivative works are not permitted. All access procedures are conducted in compliance with applicable data protection legislation, including EU Regulation 2016/679 (GDPR). Requests for access and further information should be addressed to the Contact Person indicated.
description: The dataset was developed under the scientific coordination of Dr. Luis Guerra, who also fulfilled the roles of project manager and contact person. Data curation was performed by Claudia Soria. Overall project leadership was assumed by Silvia Calamai.
DOI: 10.5281/zenodo.18468811
title: CIRCE Accented Portuguese Speech Stimuli Corpus

description: This dataset contains a corpus of audio accented speech stimuli in Portugues, developed within the CIRCE project for use in perceptual experiments on accent perception and discrimination.

The corpus includes 18 recordings from both male and female speakers who are native speakers of Portuguese (L1) as well as speakers who acquired Portuguese as a second language (L2). 6 accents of Portuguese as L1 and 3 accents of Portuguese as L2 are represented. All speakers read the same standardized text; individual recordings have an approximate duration of 23 seconds and are organized by speakers’ linguistic background (L1/L2).

The dataset is designed to support matched-guise and verbal-guise experiments, as well as research and educational activities addressing accent perception, linguistic diversity, and accent discrimination.

Important Notice on Access Conditions

The audio files contain identifiable voice data and are therefore subject to data protection and ethical regulations. For this reason, access to the recordings is restricted.

Access may be granted, upon request, exclusively for non-commercial scientific research purposes and in accordance with the informed consent provided by participants. Requests must specify the research objectives, institutional affiliation, and intended use of the materials, and are subject to approval by the designated data controllers.

Redistribution of the recordings and the creation of derivative works are not permitted. All access procedures are conducted in compliance with applicable data protection legislation, including EU Regulation 2016/679 (GDPR). Requests for access and further information should be addressed to the Contact Person indicated.
description: The dataset was developed under the scientific coordination of Dr. Luis Guerra, who also fulfilled the roles of project manager and contact person. Data curation was performed by Claudia Soria. Overall project leadership was assumed by Silvia Calamai.
DOI: 10.3535/d50-bkd-gts
title: Iberus gualtieranus mariae Cobos, 1979

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qfa-sma-5dw
title: Neoterebra guayaquilensis (E. A. Smith, 1880)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1t4-e2t-4n8
title: Sagda centralis Goodfriend, 1986

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jba-dm5-q8m
title: Achatinella abbreviata Reeve, 1850

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0kn-cyh-meh
title: Amphidromus djajasasmitai Dharma, 1993

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/15l-hfr-lwm
title: Marmorana platychela connexa (Westerlund, 1889)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m18-sme-67y
title: Punctoterebra Bartsch, 1923

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k7k-bmm-wcc
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.d78tsf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Baetodes vermelho",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031871-260208012135463/datasets/export for details.
DOI: 10.15468/dl.7xhskg
title: Occurrence Download

description: A dataset containing 805513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 805513 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031862-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdxx8p
title: Occurrence Download

description: A dataset containing 31100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sthenelais",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 31100 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031872-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14831006
title: WeTRaC: Scalable EV Charging Demand Forecasting for Heavy-Duty Fleets – Data Repository

description: This repository contains the data used to develop and validate the WeTRaC framework, a model for predicting heavy-duty electric vehicle (EV) charging demands under diverse operating conditions. Three primary datasets are included, each corresponding to specific experiments or validation steps discussed in our paper:

1. Graphs.zip

This compressed folder contains graph-structured data used for training the WeTRaC model. Each subfolder is named after a particular city or region; inside, you will find numerous .pt files, each representing a distinct route. The naming convention follows this format:  [CityName]-[Identifier1]-[Identifier2]_[InitialSOC]_[InitialTime]_v0_1.pt


Use PyTorch’s torch.load() function in Python to import these graph files. Refer to Table 5 in the paper for a detailed description of the graph attributes, node features, and edge labels.



Note: aux_hvac_sum corresponds to aux_power.

SOC and t in the files correspond to abs_SOC and abs_t mentioned in the paper.


 

2. Field-Validation.zip

This folder includes the data used for real-world truck route validation:



Lines/: Contains CSV files describing the road network segments. Each line entry has columns for segment IDs, length, speed, geometric attributes, and other parameters.

Truck-Measurements/: Provides CSV files with timestamps, truck SOC, GPS coordinates, and other sensor measurements, where each row corresponds to a specific time-stamped reading.


3, Virtual-Corridor-Lines.zip

Folders in this archive correspond to individual “virtual corridors” examined in the paper, simulating possible route layouts and charging infrastructure. Each folder contains a single route file with CSV-formatted rows. These corridor files enable simulation-based analysis of charging demand under hypothetical route conditions.

Citation:

If you use this dataset, please cite our paper:
DOI: 10.5281/zenodo.14831007
title: WeTRaC: Scalable EV Charging Demand Forecasting for Heavy-Duty Fleets – Data Repository

description: This repository contains the data used to develop and validate the WeTRaC framework, a model for predicting heavy-duty electric vehicle (EV) charging demands under diverse operating conditions. Three primary datasets are included, each corresponding to specific experiments or validation steps discussed in our paper:

1. Graphs.zip

This compressed folder contains graph-structured data used for training the WeTRaC model. Each subfolder is named after a particular city or region; inside, you will find numerous .pt files, each representing a distinct route. The naming convention follows this format:  [CityName]-[Identifier1]-[Identifier2]_[InitialSOC]_[InitialTime]_v0_1.pt


Use PyTorch’s torch.load() function in Python to import these graph files. Refer to Table 5 in the paper for a detailed description of the graph attributes, node features, and edge labels.



Note: aux_hvac_sum corresponds to aux_power.

SOC and t in the files correspond to abs_SOC and abs_t mentioned in the paper.


 

2. Field-Validation.zip

This folder includes the data used for real-world truck route validation:



Lines/: Contains CSV files describing the road network segments. Each line entry has columns for segment IDs, length, speed, geometric attributes, and other parameters.

Truck-Measurements/: Provides CSV files with timestamps, truck SOC, GPS coordinates, and other sensor measurements, where each row corresponds to a specific time-stamped reading.


3, Virtual-Corridor-Lines.zip

Folders in this archive correspond to individual “virtual corridors” examined in the paper, simulating possible route layouts and charging infrastructure. Each folder contains a single route file with CSV-formatted rows. These corridor files enable simulation-based analysis of charging demand under hypothetical route conditions.

Citation:

If you use this dataset, please cite our paper:
DOI: 10.6084/m9.figshare.31055596.v1
title: Extended Data on Knowledge and Attitude Scores

description: This dataset is the Knowledge Questionnaire and Attitude Scale score sheet of the cross-sectional survey on healthcare services of a Particularly Vulnerable Tribal Group (PVTG) in Southern India.
DOI: 10.6084/m9.figshare.31055596
title: Extended Data on Knowledge and Attitude Scores

description: This dataset is the Knowledge Questionnaire and Attitude Scale score sheet of the cross-sectional survey on healthcare services of a Particularly Vulnerable Tribal Group (PVTG) in Southern India.
DOI: 10.5281/zenodo.18229971
title: Towards Telecom-Compatible Quantum Nodes Using Erbium-Doped Stoichiometric EuCl3.6H2O Crystals
DOI: 10.15468/dl.2tm9zc
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":"BRA.12.141_2","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/0005860-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18229970
title: Towards Telecom-Compatible Quantum Nodes Using Erbium-Doped Stoichiometric EuCl3.6H2O Crystals
DOI: 10.15468/dl.4terxv
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paphiopedilum violascens Schltr."
 ]
}

 The dataset includes 45 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060121-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2m72br
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acrosynanthus minor Urb."
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304496-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fkbpe
title: Occurrence Download

description: A dataset containing 32608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dacnis venusta Lawrence, 1862, Dacnusa venustus Tobias, 1962, Dictis venusta Thorell, 1890)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 32608 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003718-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bndn58
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa pitardiana H.Scholz"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088189-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9m93x
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Material citation, Material sample, Human Observation, Machine Observation, Observation)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lutra lutra (Linnaeus, 1758)",
 "Year 1921-2023"
 ]
}

 The dataset includes 574 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299237-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7j456
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Afroligusticum petitianum (A.Rich.) P.J.D.Winter"
 ]
}

 The dataset includes 59 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003721-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sntbxb
title: Occurrence Download

description: A dataset containing 1483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Prodotiscus regulus",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 1483 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081674-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w492pg
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthurium reticulatum Benth."
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038508-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yatbqv
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia arenaria DC."
 ]
}

 The dataset includes 379 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052848-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7j5y6z
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pitcairnia goudae Manzan. & W.Till"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081676-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fnc2w
title: Occurrence Download

description: A dataset containing 1011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Podocarpus latifolius (Thunb.) R.Br. ex Mirb."
 ]
}

 The dataset includes 1011 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038509-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcxqc8
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium obtusum Basiner"
 ]
}

 The dataset includes 261 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007669-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4y8eu
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Progne sinaloae",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 165 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081691-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.