cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5284/1127873
title: Data from a Trial Trench Evaluation at Turweston Manor East, Whitfield, Northamptonshire, 2018 (HS2 Phase One)

description: This collection comprises of site photographs and an archive decision sheet from a trial trench evaluation carried out by COPA (Cotswold Oxford Pre-Construct Archaeology) at Turweston Manor East, Whitfield, Northamptonshire during April 2018.
DOI: 10.15468/dl.rbngpp
title: Occurrence Download

description: A dataset containing 14001 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Electrona antarctica (Günther, 1878)"
 ]
}

 The dataset includes 14001 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001922-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2yfuc
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carduus myriacanthus Salzm. ex DC.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "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 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001923-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h6s4d
title: Occurrence Download

description: A dataset containing 90529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ranunculus acris subsp. acris)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 90529 records from 312 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001909-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgkkmn
title: Occurrence Download

description: A dataset containing 3399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Hong Kong, China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Camellia oleifera Abel., Camellia oleifera Wall., Camellia oleifera var. monosperma Hung T.Chang, Camellia oleifera var. oleifera, Camellia oleifera var. confusa (Craib) Sealy)"
 ]
}

 The dataset includes 3399 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001924-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/0dey-xx67
title: Respiration Sensing with Cell-free Massive MIMO

description: We introduce BS-Breath, the first open dataset for respiration sensing using a cell-free massive MIMO system. Collected from a 64-antenna MIMO testbed, this dataset provides uplink Channel State Information (CSI) at 3.51 GHz, captured from 10 subjects performing controlled breathing. Ground truth respiration data is synchronized using a Motion Capture (MoCap) system, enabling precise validation. The dataset includes raw CSI measurements, processed breathing signals, and MoCap recordings, supporting research in Integrated Sensing and Communication (ISAC), wireless health monitoring, and smart environments. By making this dataset publicly available, we aim to accelerate advancements in wireless-based vital sign monitoring and multi-antenna signal processing techniques.
DOI: 10.15468/dl.qxc6mj
title: Occurrence Download

description: A dataset containing 2115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Specimen, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aetobatus ocellatus (Kuhl, 1823)"
 ]
}

 The dataset includes 2115 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001925-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/y2ex-cd56
title: Statistics of measured samples

description: Statistics of measured samples presented in the paper An improved methodology for accelerated marine immersed corrosion testing of ship structural components  https://doi.org/10.1080/17445302.2024.2436268
DOI: 10.6084/m9.figshare.23741670
title: Integrated forest and wildlife management - camera trap data

description: area.parameters.csv: active cameradays of all deployed camerascameradata.csv: all ungulate sightings of all surveys with REM parameters and social classrem_additional.csv: additional REM parameters for 3 survey areas: Kletschach, Wolschart, Lanzingarea_parameters.csv: feeding, baiting, hunting-ban areas, accessibility index, OSM roads, slope, sea level and days with snow cover<br>
DOI: 10.15468/dl.5pqdvd
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Literature Occurrence, Living Specimen, Unknown evidence, Occurrence evidence, Specimen, Machine Observation)",
 "Geometry POLYGON((-79.7271 11.87193,-57.18963 11.87193,-57.18963 22.45959,-79.7271 22.45959,-79.7271 11.87193))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Weissia Hedw."
 ]
}

 The dataset includes 265 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001927-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpssn8
title: Occurrence Download

description: A dataset containing 25612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ranunculus arvensis L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 25612 records from 622 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001926-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14726792
title: Data Sovereignty in Personal Data Mobility Ecosystems: A Business Model Perspective

description: The shift to Personal Data Ecosystems (PDEs) calls for sustainable business models that strike a balance between data sovereignty for individuals and data providers. In PDEs, data subjects gain by retaining control over their data. However, data providers relinquish some control when they grant this data subject control, as sharing data may risk exposing commercially sensitive details to competitors. This is especially relevant in mobility ecosystems where the lack of data control and privacy hinders data sharing. This research applies a business model perspective to data sovereignty and PDE research, offering a comprehensive framework for understanding the strategic decisions data providers make regarding data access control in PDEs. Concretely, we investigate the business dimensions that influence data providers' willingness to grant data access control to data subjects via a two-staged methodology. In a first step, 25 interviews identified key business dimensions, representing a trade-off between value proposition (user- and ecosystem value), value network (collaboration and competition), value finance (value capturing and privacy risk) and value architecture (coreness of data and level of processing of data). In a second stage, a use case analysis of a mobility PDE was performed, utilizing an Analytic Hierarchy Process (AHP) to quantify the preferences of data providers within a mobility ecosystem involving 21 mobility and data experts. The findings show value proposition and value finance are the most salient dimensions in this mobility ecosystem. However, they also reveal critical sector-specific (MaaS Vs. C-ITS) trade-offs between the business model dimensions. The findings reveal sector-specific variations in granting data access control, particularly in MaaS and C-ITS. Key differences shaping business models include data processing levels, privacy risks, and differences in user versus ecosystem orientation.  Our results enable deeper understanding of drivers for willingness to grant data access control from the data provider perspective, providing valuable insights into the economic viability and strategic considerations of PDEs, contributing to the broader discourse on data sovereignty and business models
DOI: 10.5281/zenodo.14726793
title: Data Sovereignty in Personal Data Mobility Ecosystems: A Business Model Perspective

description: The shift to Personal Data Ecosystems (PDEs) calls for sustainable business models that strike a balance between data sovereignty for individuals and data providers. In PDEs, data subjects gain by retaining control over their data. However, data providers relinquish some control when they grant this data subject control, as sharing data may risk exposing commercially sensitive details to competitors. This is especially relevant in mobility ecosystems where the lack of data control and privacy hinders data sharing. This research applies a business model perspective to data sovereignty and PDE research, offering a comprehensive framework for understanding the strategic decisions data providers make regarding data access control in PDEs. Concretely, we investigate the business dimensions that influence data providers' willingness to grant data access control to data subjects via a two-staged methodology. In a first step, 25 interviews identified key business dimensions, representing a trade-off between value proposition (user- and ecosystem value), value network (collaboration and competition), value finance (value capturing and privacy risk) and value architecture (coreness of data and level of processing of data). In a second stage, a use case analysis of a mobility PDE was performed, utilizing an Analytic Hierarchy Process (AHP) to quantify the preferences of data providers within a mobility ecosystem involving 21 mobility and data experts. The findings show value proposition and value finance are the most salient dimensions in this mobility ecosystem. However, they also reveal critical sector-specific (MaaS Vs. C-ITS) trade-offs between the business model dimensions. The findings reveal sector-specific variations in granting data access control, particularly in MaaS and C-ITS. Key differences shaping business models include data processing levels, privacy risks, and differences in user versus ecosystem orientation.  Our results enable deeper understanding of drivers for willingness to grant data access control from the data provider perspective, providing valuable insights into the economic viability and strategic considerations of PDEs, contributing to the broader discourse on data sovereignty and business models
DOI: 10.5281/zenodo.15004704
title: Data Sovereignty in Personal Data Mobility Ecosystems: A Business Model Perspective

description: The shift to Personal Data Ecosystems (PDEs) calls for sustainable business models that strike a balance between data sovereignty for individuals and data providers. In PDEs, data subjects gain by retaining control over their data. However, data providers relinquish some control when they grant this data subject control, as sharing data may risk exposing commercially sensitive details to competitors. This is especially relevant in mobility ecosystems where the lack of data control and privacy hinders data sharing. This research applies a business model perspective to data sovereignty and PDE research, offering a comprehensive framework for understanding the strategic decisions data providers make regarding data access control in PDEs. Concretely, we investigate the business dimensions that influence data providers' willingness to grant data access control to data subjects via a two-staged methodology. In a first step, 25 interviews identified key business dimensions, representing a trade-off between value proposition (user- and ecosystem value), value network (collaboration and competition), value finance (value capturing and privacy risk) and value architecture (coreness of data and level of processing of data). In a second stage, a use case analysis of a mobility PDE was performed, utilizing an Analytic Hierarchy Process (AHP) to quantify the preferences of data providers within a mobility ecosystem involving 21 mobility and data experts. The findings show value proposition and value finance are the most salient dimensions in this mobility ecosystem. However, they also reveal critical sector-specific (MaaS Vs. C-ITS) trade-offs between the business model dimensions. The findings reveal sector-specific variations in granting data access control, particularly in MaaS and C-ITS. Key differences shaping business models include data processing levels, privacy risks, and differences in user versus ecosystem orientation.  Our results enable deeper understanding of drivers for willingness to grant data access control from the data provider perspective, providing valuable insights into the economic viability and strategic considerations of PDEs, contributing to the broader discourse on data sovereignty and business models
DOI: 10.15468/dl.kv7s6r
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex scabrifolia Steud.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 250 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001928-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17138351
title: Trained emulators for pybird in mnuw0waCDM

description: This folder contains a trained set of emulators for the PyBird EFTofLSS code in mnuw0waCDM cosmology.
DOI: 10.5281/zenodo.17436464
title: Trained emulators for pybird in mnuw0waCDM

description: This folder contains a trained set of emulators for the PyBird EFTofLSS code in mnuw0waCDM cosmology.
DOI: 10.15468/dl.4mzmdk
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Algeria",
 "TaxonKey is Lavandula stoechas"
 ]
}

 The dataset's 2 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055223-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.11462.74560
title: Bienestar y salud integral
DOI: 10.15468/dl.752djj
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.37025 19.13027,-98.36735 19.14244,-98.37054 19.18235,-98.37676 19.16882,-98.37748 19.15624,-98.37343 19.14955,-98.37329 19.13301,-98.37025 19.13027))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 88 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055232-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k25hbf
title: Occurrence Download

description: A dataset containing 3829 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Steinernematidae"
 ]
}

 The dataset includes 3829 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055233-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyhjdq
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Country is United States of America",
 "TaxonKey is Potamopyrgus antipodarum"
 ]
}

 The dataset includes 282 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055234-251009101135966/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/13490342
title: BOS Kemdikbud
DOI: 10.15468/dl.aez3x4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plecotus auritus",
 "HasCoordinate is true",
 "Country is Iran (Islamic Republic of)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055236-251009101135966/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc1pj28k
title: CCDC 1564578: Experimental Crystal Structure Determination

description: Related Article: Yinliang Guo,  Tianfei Quan,  Yandong Lu,  and Tuoping Luo|2017|J.Am.Chem.Soc.|139|6815|doi:10.1021/jacs.7b02515
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pj29l
title: CCDC 1564579: Experimental Crystal Structure Determination

description: Related Article: Giorgio Baggi, Stephen J. Loeb|2017|Chem.-Eur.J.|23|14163|doi:10.1002/chem.201703485
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pj2bm
title: CCDC 1564580: Experimental Crystal Structure Determination

description: Related Article: Giorgio Baggi, Stephen J. Loeb|2017|Chem.-Eur.J.|23|14163|doi:10.1002/chem.201703485
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pj2dp
title: CCDC 1564582: Experimental Crystal Structure Determination

description: Related Article: Lingyun Cao,  Zekai Lin,  Wenjie Shi,  Zi Wang,  Cankun Zhang,  Xuefu Hu,  Cheng Wang,  and Wenbin Lin|2017|J.Am.Chem.Soc.|139|7020|doi:10.1021/jacs.7b02470
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pj2cn
title: CCDC 1564581: Experimental Crystal Structure Determination

description: Related Article: Giorgio Baggi, Stephen J. Loeb|2017|Chem.-Eur.J.|23|14163|doi:10.1002/chem.201703485
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pj2fq
title: CCDC 1564583: Experimental Crystal Structure Determination

description: Related Article: Lingyun Cao,  Zekai Lin,  Wenjie Shi,  Zi Wang,  Cankun Zhang,  Xuefu Hu,  Cheng Wang,  and Wenbin Lin|2017|J.Am.Chem.Soc.|139|7020|doi:10.1021/jacs.7b02470
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pj2gr
title: CCDC 1564584: Experimental Crystal Structure Determination

description: Related Article: Lingyun Cao,  Zekai Lin,  Wenjie Shi,  Zi Wang,  Cankun Zhang,  Xuefu Hu,  Cheng Wang,  and Wenbin Lin|2017|J.Am.Chem.Soc.|139|7020|doi:10.1021/jacs.7b02470
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pj2hs
title: CCDC 1564585: Experimental Crystal Structure Determination

description: Related Article: Yuzhong Wang,  Hunter P. Hickox,  Yaoming Xie,  Pingrong Wei,  Soshawn A. Blair,  Michael K. Johnson,  Henry F. Schaefer III,  and Gregory H. Robinson|2017|J.Am.Chem.Soc.|139|6859|doi:10.1021/jacs.7b03794
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pj2jt
title: CCDC 1564586: Experimental Crystal Structure Determination

description: Related Article: Yuzhong Wang,  Hunter P. Hickox,  Yaoming Xie,  Pingrong Wei,  Soshawn A. Blair,  Michael K. Johnson,  Henry F. Schaefer III,  and Gregory H. Robinson|2017|J.Am.Chem.Soc.|139|6859|doi:10.1021/jacs.7b03794
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.