cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34810/data178
title: Supplementary material of the paper: “The Digital 3D-Atlas MAKER (DAMAKER): a dynamic and expandable digital 3D-tool for monitoring the temporal changes in tissue growth during hindbrain morphogenesis”

description: Replication materials for the paper "The Digital 3D-Atlas MAKER (DAMAKER): a dynamic and expandable digital 3D-tool for monitoring the temporal changes in tissue growth during hindbrain morphogenesis". Three datasets are included. The first one contains the FIJI macros for image analysis. The second one contains the R code to plot signals along the embryonic axes. The final one contains the 3D models of various signals and the temporal maps showing the changes in tissue growth during hindbrain morphogenesis.
First dataset: Supplementary_Material_1: It contains the FIJI_Macros in 10 IJM files. 
Second dataset: Supplementary_Material_2: It contains the R code and the Axis distribution plots. Third dataset: It contains 9 TIFF files which generate the 3D animated model videos of the temporal maps. They weigh nearly 2GB
description: Frederic Udina is co-author of the the second dataset that is Supplementary_Material_2 (the R code and the Axis distribution plots).
description: R, null
description: FIJI/ImageJ, null
DOI: 10.34808/c76n-rm34
title: Structure of the register of archeological monuments by date of construction – comparison of 2016, 2024 and 2025
DOI: 10.15468/dl.s5bvgf
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Valeriana officinalis",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 87 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028440-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17222676
title: Artifact for ASE 2025 Paper "RELIA: Accelerating Analysis of Cloud Access Control Policies"

description: The artifact includes:



RELIA prototype's source code.

Public and hard datasets tested by RELIA.


See README.md.
DOI: 10.15468/dl.56t3an
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Arundo donax versicolor)"
 ]
}

 The dataset includes 102 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028441-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3egjpc
title: Occurrence Download

description: A dataset containing 522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adiantum caudatum",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 522 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028443-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1882
title: Sensory perception and purchase behaviour dataset for plant-based products
title: LOCALNUTLEG

description: This dataset focuses on the sensory perceptions and purchasing intentions of consumers towards plant-based products. Data were collected in 2023 from a sample of 132 Spanish consumers through a structured, validated questionnaire administered via the Qualtrics platform. The questionnaire gathered information on hedonic sensory acceptance, perceived behavioural control, subjective norms, attitudes, and informed tasting experiences related to plant-based food products. The data were analysed using descriptive statistics and partial least squares structural equation modelling (PLS-SEM) to identify the factors influencing purchasing intentions. The dataset offers insights into the moderate attitudes of consumers towards plant-based products, their high ratings of sensory characteristics, and the influence of these factors on purchase decisions. This research aims to inform stakeholders in the food industry about consumer behaviour related to plant-based products, with potential implications for product development and marketing strategies in Spain and similar European markets.
description: SPSS, 29
description: SmartPLS, 4.0.9.6
DOI: 10.7910/dvn/metwlj
title: Dataset for: Responding Versus Responsiveness on Environmental Issues: Under What Conditions do Parties' Respond to Voters and are Responses Responsive?

description: Dataset for: Responding Versus Responsiveness on Environmental Issues: Under What Conditions do Parties' Respond to Voters and are Responses Responsive?

Full replication data to be made available prior to publication.
DOI: 10.15468/dl.tvpzz8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lioparus chrysotis",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028444-250920141307145/datasets/export for details.
DOI: 10.34810/data248
title: A Wood charcoal reference collection for the Anthracology of the northern Highlands of Ethiopia

description: Here, we present a wood charcoal reference collection for anthracological analyses in the Highlands of Ethiopia. Available plant species and genus were selected according to their importance in the different vegetation types present in the northern Highlands of Ethiopia following the information published by Friis et al. (2010) and their availability in the Museum National d'Histoire Naturelle collections at Paris. It contains pictures of the cross, radial and tangential sections, as well as anatomical descriptions following the terminology proposed by the International Association of Wood Anatomists.
DOI: 10.15468/dl.qbwyze
title: Occurrence Download

description: A dataset containing 1359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lindenia tetraphylla)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1359 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028445-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.28921.12641
title: Digital twin of costume #1 – Segmented surface. 3D MODEL
DOI: 10.13140/rg.2.2.22210.24003
title: Digital twin of costume #2 – Segmented surface. 3D MODEL
DOI: 10.34810/data249
title: [Supplementary Materials] Human-Woodland interactions during the pre-Aksumite and Aksumite periods in NE Tigray, Ethiopia: insights from the wood charcoal analyses of Mezber and Ona Adi

description: The present documents are the suplementary materials of the paper published and named "Human-Woodland interactions during the pre-Aksumite and Aksumite periods in NE Tigray, Ethiopia: insights from the wood charcoal analyses of Mezber and Ona Adi" https://doi.org/10.1007/s00334-021-00825-2.
They include: 1) List of plant taxa found during analyses, including anatomical descriptions and discussions. 2) Explanation of used indexes. 3) Raw data of taphonomical alterations found throughout the analyses. 4) Results of representativty curves, including quantitative, qualitative and Gini-Lorenz curves. 5) Raw data of taxonomical results registered during analyses.
DOI: 10.13140/rg.2.2.11305.04967
title: Digital twin of costume #3 – Segmented surface. 3D MODEL
DOI: 10.34810/data1888
title: Stakeholders’ opinions and marketing mix strategies for innovative plant-based products
title: LOCALNUTLEG

description: The purpose of this dataset is to provide the data of Deliverable 5.4, which analyses the opinions and suggestions of stakeholders regarding the commercialization of seven plant-based products developed as part of the LOCALNUTLEG project. Nine experts and professionals from the Catalan nut and legume value chains were surveyed and brought together in a focus group session held in Barcelona (Spain) in April 2023, where they were asked to prioritize the commercialization policies per each LOCALNUTLEG product. The Analytic Hierarchy Process method was used to prioritize marketing actions per each product. Industry and market stakeholders, policy-makers, and researchers can use the results to develop product and marketing strategies for plant-based innovative products.
description: Qualtrics TM., null
description: Superdecision, null
DOI: 10.13140/rg.2.2.24726.82249
title: 11 degree polynomials solved by using EMST
DOI: 10.34740/kaggle/dsv/13204736
title: PM2.5 Dataset loc dieng rembang indonesia
DOI: 10.5281/zenodo.17222470
title: Supplemental material and data
DOI: 10.5281/zenodo.17222471
title: Supplemental material and data
DOI: 10.15468/dl.jwg9g5
title: Occurrence Download

description: A dataset containing 28449 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Asarum canadense)"
 ]
}

 The dataset includes 28449 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028446-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pq28jj
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polemonium reptans",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028447-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqnn4b
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polemonium reptans",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028448-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ky8f3x
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adiantum ciliatum",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 272 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028449-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data251
title: South American archaeological sites and dates

description: This dataset contains 2762 radiocarbon dates from 1023 archaeological sites in lowland South America. In principle, only archaeological cultures related to the spread of polyculture agroforestry (tropical forest farming) and ceramics are represented. The dataset has been compiled and is continuously updated as part of the project ExPaND: Examining Pan-Neotropical funded by the European Commission H2020.
description: User guide in PDF, data in CSV. 7000 14C BP to the present.
DOI: 10.15468/dl.xm7ktd
title: Occurrence Download

description: A dataset containing 1045685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Corylus",
 "Year 1000-2025"
 ]
}

 The dataset includes 1045685 records from 3004 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028392-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0188366.10fu
title: SH0188366.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188367.10fu
title: SH0188367.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188368.10fu
title: SH0188368.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188369.10fu
title: SH0188369.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188370.10fu
title: SH0188370.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188371.10fu
title: SH0188371.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188372.10fu
title: SH0188372.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188373.10fu
title: SH0188373.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188374.10fu
title: SH0188374.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.