cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28601801.v2
title: Disciplines, Divisions, and Groups for the ANZSRC fields of research classification

description: A classification of the ANZSRC Fields of Research. 5 disciplines: Biological Sciences and Biotechnology (BSB)Engineering, Information and Computing Sciences (EIC)Mathematics, Physics, Chemistry and Earth Sciences (MPCE)Social, Behavioural and Economic Sciences (SBE)Humanities and Creative Arts (HCA)
DOI: 10.15468/dl.3v5gku
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bhutan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Larix griffithii Hook.f."
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023450-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umtg35
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium usambarense Taub.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 210 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023451-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14901306
title: (RIR) Dataset for Neural Room Geometry Estimation

description: This dataset contains 50,000 Room Impulse Responses (RIRs) generated using the RIR Generator. The dataset is intended for research in room acoustics and neural room geometry estimation. It was created as part of the Neural Room Geometry Estimation on Embedded Devices project at TU Ilmenau.

The dataset can be used for training and evaluating machine learning models that estimate room dimensions based on audio signals. It is particularly relevant for applications in embedded systems where real-time room estimation is required.
DOI: 10.5281/zenodo.14901307
title: (RIR) Dataset for Neural Room Geometry Estimation

description: This dataset contains 50,000 Room Impulse Responses (RIRs) generated using the RIR Generator. The dataset is intended for research in room acoustics and neural room geometry estimation. It was created as part of the Neural Room Geometry Estimation on Embedded Devices project at TU Ilmenau.

The dataset can be used for training and evaluating machine learning models that estimate room dimensions based on audio signals. It is particularly relevant for applications in embedded systems where real-time room estimation is required.
DOI: 10.15468/dl.a8vtaq
title: Occurrence Download

description: A dataset containing 45472 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mythimna unipuncta (Haworth, 1809)"
 ]
}

 The dataset includes 45472 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023449-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghttgp
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium vavilovii Eig)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 267 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023452-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82q7uc
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Czechia",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon lotor (Linnaeus, 1758)"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023453-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4t7egt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium vernum Phil.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023454-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zw7hb4
title: Occurrence Download

description: A dataset containing 4837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Elaenia obscura (Orbigny & Lafresnaye, 1837)"
 ]
}

 The dataset includes 4837 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023457-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ww7xjd
title: Occurrence Download

description: A dataset containing 15956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Elaenia pallatangae P.L.Sclater, 1862"
 ]
}

 The dataset includes 15956 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023456-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3pp22
title: Occurrence Download

description: A dataset containing 3209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium vesiculosum Savi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3209 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023458-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10719385
title: RESONANCES Database : Experiment no. 1 — Physiological Data

description: This dataset is an output of the RESONANCES physiological signal-based testing protocol aimed at recognizing and measuring atmospheric emotions. It contains participants’ blood volume pulse (BVP), skin conductance (SC), and peripheral temperature (PT) data, collected throughout three ranges: 30 seconds in the starting room (baseline feedback), 9 seconds after the first door (changes in physiological arousal while experiencing the corridor’s atmosphere), and 9 seconds after the second door (reactions to the targeted space). We processed these signals at a 16-samples-per-second rate.

 

The dataset is made of two files:no. 1 dataset summary (.pdf)no. 1 zipped folder (.zip) including 81 excel documents (.xlsx) with BVP, SC, and PT data
description: This database was developed within the RESONANCES project — Architectural Atmospheres: The Emotional Impact of Ambiances Measured through Conscious, Bodily, and Neural Responses. This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 101025132. The content of this work reflects only the authors' view. The European Research Executive Agency is not responsible for any use that may be made of the information it contains.
DOI: 10.5281/zenodo.10719386
title: RESONANCES Database : Experiment no. 1 — Physiological Data

description: This dataset is an output of the RESONANCES physiological signal-based testing protocol aimed at recognizing and measuring atmospheric emotions. It contains participants’ blood volume pulse (BVP), skin conductance (SC), and peripheral temperature (PT) data, collected throughout three ranges: 30 seconds in the starting room (baseline feedback), 9 seconds after the first door (changes in physiological arousal while experiencing the corridor’s atmosphere), and 9 seconds after the second door (reactions to the targeted space). We processed these signals at a 16-samples-per-second rate.

 

The dataset is made of two files:no. 1 dataset summary (.pdf)no. 1 zipped folder (.zip) including 81 excel documents (.xlsx) with BVP, SC, and PT data
description: This database was developed within the RESONANCES project — Architectural Atmospheres: The Emotional Impact of Ambiances Measured through Conscious, Bodily, and Neural Responses. This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 101025132. The content of this work reflects only the authors' view. The European Research Executive Agency is not responsible for any use that may be made of the information it contains.
DOI: 10.5281/zenodo.14784507
title: Flow resistance data set and R code

description: This dataset and R program accompany a paper by R. Ferguson and A. Recking, submitted to Water Resources Research and titled 'Flow resistance and hydraulic geometry in gravel- and boulder-bed rivers'

Important note: if the R program does not start, check that dataset.csv is in UTF8 format.
DOI: 10.5281/zenodo.15073188
title: Flow resistance data set and R code

description: This dataset and R program accompany a paper by R. Ferguson and A. Recking, submitted to Water Resources Research and titled 'Flow resistance and hydraulic geometry in gravel- and boulder-bed rivers'

Important note: if the R program does not start, check that dataset.csv is in UTF8 format.
DOI: 10.15468/dl.aq6qft
title: Occurrence Download

description: A dataset containing 8894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium willdenovii Spreng.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8894 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023459-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10687522
title: RESONANCES Database : Experiment no. 1 — Self-Report Scores

description: This dataset is an output of the RESONANCES physiological signal-based testing protocol aimed at recognizing and measuring atmospheric emotions. It contains sociodemographics describing the analyzed sample, self-report scores, and related questionnaires.     The dataset is made of six files:no. 1 dataset summary (.pdf)no. 1 excel matrix (.xlsx)no. 4 documents (.pdf) embedding the used questionnaires (Appendix01_SREIT; Appendix02_BFI-10; Appendix03_EES; Appendix04_RAQ)
description: This database was developed within the RESONANCES project — Architectural Atmospheres: The Emotional Impact of Ambiances Measured through Conscious, Bodily, and Neural Responses. This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 101025132. The content of this work reflects only the authors' view. The European Research Executive Agency is not responsible for any use that may be made of the information it contains.
DOI: 10.5281/zenodo.10687523
title: RESONANCES Database : Experiment no. 1 — Self-Report Scores

description: This dataset is an output of the RESONANCES physiological signal-based testing protocol aimed at recognizing and measuring atmospheric emotions. It contains sociodemographics describing the analyzed sample, self-report scores, and related questionnaires.     The dataset is made of six files:no. 1 dataset summary (.pdf)no. 1 excel matrix (.xlsx)no. 4 documents (.pdf) embedding the used questionnaires (Appendix01_SREIT; Appendix02_BFI-10; Appendix03_EES; Appendix04_RAQ)
description: This database was developed within the RESONANCES project — Architectural Atmospheres: The Emotional Impact of Ambiances Measured through Conscious, Bodily, and Neural Responses. This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 101025132. The content of this work reflects only the authors' view. The European Research Executive Agency is not responsible for any use that may be made of the information it contains.
DOI: 10.15468/dl.wuk72t
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trigonella balansae Boiss. & Reut.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 498 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023460-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5tpxq
title: Occurrence Download

description: A dataset containing 558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.93671 25.39538,-98.28382 25.57742,-99.84939 27.14299,-101.63341 29.47314,-102.98053 29.47314,-103.38102 28.49011,-106.2573 30.82026,-110.77196 31.11153,-114.63127 32.05815,-116.70656 32.05815,-114.88613 23.24728,-99.44802 15.42515,-92.5937 14.23516,-92.5461 15.56795,-91.45131 15.37755,-90.26133 17.18633,-87.88135 18.80471,-85.26339 21.13708,-85.92978 22.23187,-92.3081 21.08948,-93.40289 19.99469,-96.93671 25.39538))",
 "TaxonKey is Conepatus leuconotus (Lichtenstein, 1832)",
 "Year 2001-2025"
 ]
}

 The dataset includes 558 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023461-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1145619.10fu
title: SH1145619.10FU

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/sh1145621.10fu
title: SH1145621.10FU

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/sh1145624.10fu
title: SH1145624.10FU

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/sh1145626.10fu
title: SH1145626.10FU

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/sh1145629.10fu
title: SH1145629.10FU

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/sh1145631.10fu
title: SH1145631.10FU

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/sh1145638.10fu
title: SH1145638.10FU

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/sh1145639.10fu
title: SH1145639.10FU

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.