cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29413486
title: Challenge Accepted: A Systematic Scoping Review of the Applications of the Challenge Point Framework

description: The Challenge Point Framework (CPF) guides practice design for optimal motor skill learning. The CPF’s use and prevalence has not been reported. This review’s aims are to – (i) identify research areas that use the CPF, (ii) determine the CPF’s prevalence across research areas and (iii) summarise applications of the CPF across research areas. A systematic scoping review, following modified PRISMA-ScR guidelines, was conducted. Papers referencing Guadagnoli and Lee’s (2004) “Challenge Point Framework” paper were reviewed against inclusion/exclusion criteria. Data from 100 included papers were analysed for (1) numerical; (2) thematic; and (3) descriptive summaries. Four themes were identified and common CPF applications were identified within each theme. CPF use has been viewed favourably whilst its limitations have been acknowledged (e.g., lack of practical application research).
DOI: 10.6084/m9.figshare.29413486.v1
title: Challenge Accepted: A Systematic Scoping Review of the Applications of the Challenge Point Framework

description: The Challenge Point Framework (CPF) guides practice design for optimal motor skill learning. The CPF’s use and prevalence has not been reported. This review’s aims are to – (i) identify research areas that use the CPF, (ii) determine the CPF’s prevalence across research areas and (iii) summarise applications of the CPF across research areas. A systematic scoping review, following modified PRISMA-ScR guidelines, was conducted. Papers referencing Guadagnoli and Lee’s (2004) “Challenge Point Framework” paper were reviewed against inclusion/exclusion criteria. Data from 100 included papers were analysed for (1) numerical; (2) thematic; and (3) descriptive summaries. Four themes were identified and common CPF applications were identified within each theme. CPF use has been viewed favourably whilst its limitations have been acknowledged (e.g., lack of practical application research).
DOI: 10.5281/zenodo.17662811
title: Fichas de caracterización de caso (Fc)

description: Compone este dataset un elenco de fichas en formato .pdf correspondientes a los distintos casos de estudio, seleccionados y desarrollados por su singularidad o significación. Se presentan de forma individual: Ficha_Cinema Usera, Ficha_MAUS, etc. 

Presenta las principales claves de la trazabilidad de cada intervención, siguiendo la matriz FACTIBLES de categorías (MATRIZ) y registros elaborada para tal fin, y con la siguiente estructura: 



Datos básicos, mapas de localización y emplazamiento, y muestra de imágenes. 




Antecedentes. 




Entrada “prácticas artísticas” (formato y funciones del artista) 




Entrada “espacio público” (habitabilidad, dinámica de uso e Identidad) 




Entrada “comunidad” (estructura demográfica, perfils sociocultural, renta y red social) 




Entrada “estrategias y procesos” (actores e iniciativas, y procesos de participación) 




Entrada “concreciones” (materialidad y espacialización) 




Entrada “enclave” (contexto urbano y dinámica preponderante) 




Síntesis de objetivos y logros a priori.  


En cada entrada, además de la síntesis según los registros establecidos para cada caso, se aporta una breve descripción explicativa. 

La finalidad del dataset es la presentación multidimensional, ordenada y comprensiva de cada intervención, ofreciendo información de base que pueda complementar y desarrollar el tratamiento específico en diferentes líneas de estudio.
DOI: 10.5281/zenodo.17662812
title: Fichas de caracterización de caso (Fc)

description: Compone este dataset un elenco de fichas en formato .pdf correspondientes a los distintos casos de estudio, seleccionados y desarrollados por su singularidad o significación. Se presentan de forma individual: Ficha_Cinema Usera, Ficha_MAUS, etc. 

Presenta las principales claves de la trazabilidad de cada intervención, siguiendo la matriz FACTIBLES de categorías (MATRIZ) y registros elaborada para tal fin, y con la siguiente estructura: 



Datos básicos, mapas de localización y emplazamiento, y muestra de imágenes. 




Antecedentes. 




Entrada “prácticas artísticas” (formato y funciones del artista) 




Entrada “espacio público” (habitabilidad, dinámica de uso e Identidad) 




Entrada “comunidad” (estructura demográfica, perfils sociocultural, renta y red social) 




Entrada “estrategias y procesos” (actores e iniciativas, y procesos de participación) 




Entrada “concreciones” (materialidad y espacialización) 




Entrada “enclave” (contexto urbano y dinámica preponderante) 




Síntesis de objetivos y logros a priori.  


En cada entrada, además de la síntesis según los registros establecidos para cada caso, se aporta una breve descripción explicativa. 

La finalidad del dataset es la presentación multidimensional, ordenada y comprensiva de cada intervención, ofreciendo información de base que pueda complementar y desarrollar el tratamiento específico en diferentes líneas de estudio.
DOI: 10.17882/45589
title: Coriolis Argo floats data processing chain

description: The Coriolis Argo floats data processing chain decodes, processes, formats and performs quality control on floats data.
The attached manual describes how to install, configure and use the Coriolis Matlab decoder used to process Argo floats data.
 - The main function of the decoder is to format the float data (float metadata, float measurements, float technical data) into four Argo NetCDF CF files.
 - The decoder applies Real Time Quality Control (RTQC) tests on Argo profile and trajectory files
The floats decoder is used through the decode_provor_2_nc, decode_apex_2_nc and decode_nova_2_nc Matlab programs.
The decode_argo_2_nc_rt Matlab program additionally generates an XML report of the processing done and is designed to be used in a Data Assembly Center (DAC) real time flux.
The current version of the decoder is stored in the global variable wg_decArgo_decoderVersion set in the init_default_values.m file.
The current version of the profile RTQC is stored in the global variable g_decArgo_addRtqcToProfileVersion set in the add_rtqc_to_profile_file.m file.
The current version of the trajectory RTQC is stored in the global variable g_decArgo_addRtqcToTrajVersion set in the add_rtqc_to_trajectory_file.m file.
Additional information is available on Coriolis web site http://www.coriolis.eu.org/Data-Products/Tools/Web-page-dedicated-to-Coriolis-Argo-decoder
DOI: 10.17882/92401
title: Ieodo Ocean Research Station (Ieodo ORS): delayed mode dataset, annual release (2020)

description: Ieodo Ocean Research Station (Ieodo ORS) opened in June 2003, and was built to help advance the understanding of the dynamics of the East China Sea, including its influence on Korea’s marine, terrestrial, and atmospheric environments, via the continuous and simultaneous multidisciplinary observation of local air and sea environments.
Ieodo ORS is located 149 km from Marado, at the southernmost tip of Jejudo (commonly referred to in scientific literature as Jeju Island or previously as Cheju Island), southwest of the Korean Peninsula. Its steel-jacket framed tower-type platform was built near the submarine rock named “Ieodo” by the Korea Institute of Ocean Science and Technology (KIOST). The Korea Hydrographic and Oceanographic Agency (KHOA) has operated this platform since January 1, 2007.
Ieodo ORS stands 36 m in height above the datum level (DL) and consists of a boat landing plus 6 decks (Bottom Deck, Intermediate Deck, Cellar Deck, Main Deck, Roof Deck, and Heli Deck). Most of its meteorological instruments and sensors are installed on the Roof Deck, including two anemometers, one barometer, two air temperature sensors, and two relative humidity sensors. Ocean temperature and salinity have been relatively consistently measured at Ieodo ORS. Aanderaa inductive-type conductivity-temperature (CT) sensors are installed at depths of 3, 21, and 38 m throughout the entire year, operating at 1 min sampling intervals by KHOA. Residential facilities and the electrical control room are on the Main Deck, while a seawater desalination system and a diesel generator system are installed on the Cellar Deck.
DOI: 10.17882/92402
title: Ieodo Ocean Research Station (Ieodo ORS): delayed mode dataset, annual release (2021)

description: Ieodo Ocean Research Station (Ieodo ORS) opened in June 2003, and was built to help advance the understanding of the dynamics of the East China Sea, including its influence on Korea’s marine, terrestrial, and atmospheric environments, via the continuous and simultaneous multidisciplinary observation of local air and sea environments.
Ieodo ORS is located 149 km from Marado, at the southernmost tip of Jejudo (commonly referred to in scientific literature as Jeju Island or previously as Cheju Island), southwest of the Korean Peninsula. Its steel-jacket framed tower-type platform was built near the submarine rock named “Ieodo” by the Korea Institute of Ocean Science and Technology (KIOST). The Korea Hydrographic and Oceanographic Agency (KHOA) has operated this platform since January 1, 2007.
Ieodo ORS stands 36 m in height above the datum level (DL) and consists of a boat landing plus 6 decks (Bottom Deck, Intermediate Deck, Cellar Deck, Main Deck, Roof Deck, and Heli Deck). Most of its meteorological instruments and sensors are installed on the Roof Deck, including two anemometers, one barometer, two air temperature sensors, and two relative humidity sensors. Ocean temperature and salinity have been relatively consistently measured at Ieodo ORS. Aanderaa inductive-type conductivity-temperature (CT) sensors are installed at depths of 5, 19.3, and 36.8 m throughout the entire year, operating at 1 min sampling intervals by KHOA. Residential facilities and the electrical control room are on the Main Deck, while a seawater desalination system and a diesel generator system are installed on the Cellar Deck.
DOI: 10.17882/97666
title: Ieodo Ocean Research Station (Ieodo ORS): delayed mode dataset, annual release (2022)

description: Ieodo Ocean Research Station (Ieodo ORS) opened in June 2003, and was built to help advance the understanding of the dynamics of the East China Sea, including its influence on Korea’s marine, terrestrial, and atmospheric environments, via the continuous and simultaneous multidisciplinary observation of local air and sea environments.
Ieodo ORS is located 149 km from Marado, at the southernmost tip of Jejudo (commonly referred to in scientific literature as Jeju Island or previously as Cheju Island), southwest of the Korean Peninsula. Its steel-jacket framed tower-type platform was built near the submarine rock named “Ieodo” by the Korea Institute of Ocean Science and Technology (KIOST). The Korea Hydrographic and Oceanographic Agency (KHOA) has operated this platform since January 1, 2007.
Ieodo ORS stands 36 m in height above the datum level (DL) and consists of a boat landing plus 6 decks (Bottom Deck, Intermediate Deck, Cellar Deck, Main Deck, Roof Deck, and Heli Deck). Most of its meteorological instruments and sensors are installed on the Roof Deck, including two anemometers, one barometer, two air temperature sensors, and two relative humidity sensors. Ocean temperature and salinity have been relatively consistently measured at Ieodo ORS. Aanderaa inductive-type conductivity-temperature (CT) sensors are installed at depths of 5, 17.5, and 36.8 m throughout the entire year, operating at 1 min sampling intervals by KHOA. Residential facilities and the electrical control room are on the Main Deck, while a seawater desalination system and a diesel generator system are installed on the Cellar Deck.
DOI: 10.17882/99794
title: SOMLIT-SOLA time series (French Research Infrastructure ILICO): long-term core parameter monitoring in the Bay of Banyuls-sur-Mer

description: Medium and long-term observation of the evolution of the marine environment through the acquisition and study of "long-term series" is clearly recognized as a necessity for understanding how ecosystems react to both natural and anthropogenic environmental constraints. This is obviously the case for coastal areas (lagoons, bays, estuaries, etc.), which are particularly vulnerable due to the increasing pressure of human activities in these areas which are, moreover, the subject of numerous conflicts of use. The “Service d'Observation en Milieu Littoral” (SOMLIT) was created in 1995, then accredited in 1996 by the national CNRS institute INSU (Ocean-Atmosphere domain), giving it the status of “Service National d’Observation” (SNO). The first databases appeared in January 1997. Since that date, SOMLIT has continued to develop in order to meet scientific requirements and the need for re-labelling every 4 years. Today in 2024, SOMLIT monitors 12 different ecosystems on a weekly basis (for most of them) on the 3 facades of mainland France. This represents 20 monitoring points on which vertical profiles are carried out using multiparametric probes and are measured on the surface and at the bottom, 16 basic parameters, all representing 400 time series on a national scale. The SOLA station (buoy) is one of the pioneers of this network. It constitutes the historic observation station of the Banyuls sur Mer Observatory and is managed today by the BOSS (Banyuls Observation Sea Service). The buoy is located in Banyuls Bay at a distance of 0.5 nautical miles offshore from the marine station. It serves as a sampling site for low-frequency monitoring of SOMLIT and PHYTOBS networks and is equipped with an AIRMAR 200WX meteorological station and a YSI EXO3 multiparameter CTD probe placed 1.5m below the surface. The data averaged over 1 min (SR=1s) are sent to a server on land and integrated into a local database, allowing it to be distributed to national and international databases.
DOI: 10.17882/109970
title: The heart’s energy secret: Impact of a DHA deficiency on cardiac mitochondrial efficiency and thermal performance in sardine (Sardina pilchardus)

description: This dataset compiles biometric, lipidomic, and mitochondrial respiration data from European sardines (Sardina pilchardus) exposed to a controlled dietary experiment manipulating DHA availability. Five data files are provided: (1) individual biometric measurements collected at the beginning and end of the experiment; (2) total and membrane fatty acid compositions, expressed both in concentrations and relative percentages, including derived lipid indices; (3) the subset of 44 fatty acids used for PCA on membrane composition; (4) raw mitochondrial respiration and ATP production measurements obtained from cardiac tissue across four temperatures and two dietary treatments; and (5) averaged mitochondrial fluxes with latency corrections and derived bioenergetic variables such as ATP/O and oxidative coupling efficiency (OxCE).
Respiration measurements were performed with high-resolution Oroboros respirometry in duplicate, and lipid analyses were conducted on the Lipidocean platform. The dataset includes methodological details on Rox correction, failed measures, duplicate handling, and latency adjustments, ensuring full transparency for reuse.
These data were generated to investigate how dietary DHA deficiency affects bioenergetic performance, mitochondrial efficiency, and thermal sensitivity in sardines. The dataset supports the associated scientific publication and can be reused for comparative physiology, bioenergetics modelling, lipidomics, and studies of thermal performance under environmental change.
DOI: 10.15468/dl.vxectg
title: Occurrence Download

description: A dataset containing 9196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Gastrotheca"
 ]
}

 The dataset includes 9196 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000763-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snyhfg
title: Occurrence Download

description: A dataset containing 3815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.55594 30.54333,-86.34532 30.54333,-86.34532 46.66392,-105.55594 46.66392,-105.55594 30.54333))",
 "HasGeospatialIssue is false",
 "TaxonKey is Urocyon cinereoargenteus",
 "Year 1964-2025"
 ]
}

 The dataset includes 3815 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000764-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2kcvh9
title: CCDC 2364881: Experimental Crystal Structure Determination

description: Related Article: Mengzhu Wang, Xiaolong Li, Siwen Zou, Haixia Cui, Yongjing Deng, Jiangang Li, Longlu Wang, Shu-Juan Liu, Qiang Zhao, Yun Ma|2025|Chemical Science|16|21423|doi:10.1039/D5SC04721H
description: Related Article: Mengzhu Wang, Xiaolong Li, Siwen Zou, Haixia Cui, Yongjing Deng, Jiangang Li, Longlu Wang, Shu-Juan Liu, Qiang Zhao, Yun Ma|2025|CSD Communication|||
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.cc2kcvg8
title: CCDC 2364880: Experimental Crystal Structure Determination

description: Related Article: Mengzhu Wang, Xiaolong Li, Siwen Zou, Haixia Cui, Yongjing Deng, Jiangang Li, Longlu Wang, Shu-Juan Liu, Qiang Zhao, Yun Ma|2025|Chemical Science|16|21423|doi:10.1039/D5SC04721H
description: Related Article: Mengzhu Wang, Xiaolong Li, Siwen Zou, Haixia Cui, Yongjing Deng, Jiangang Li, Longlu Wang, Shu-Juan Liu, Qiang Zhao, Yun Ma|2025|CSD Communication|||
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: 10.5683/sp3/v8ckkh
title: Search strategies on allogeneic hematopoietic stem cell transplantation gynecological complications / Stratégies de recherche sur les complications gynécologiques liées à la greffe allogénique de cellules souches hématopoïétiques

description: Ce jeu de données contient les stratégies de recherche pour MEDLINE ALL (Ovid), Embase (Ovid), PsycInfo (Ovid) et CINAHL Complete (EBSCOhost). Quand on les exécute dans leurs bases de données respectives, ces stratégies repêchent les articles sur, inclusivement, les concepts de gynécologie et de greffe allogénique de cellules souches hématopoïétiques. Le nombre de résultats et les stratégies de recherche pour chaque base de données sont indiqués dans le fichier rtf. Les recherches ont été effectuées le 17 mars 2025.
DOI: 10.6084/m9.figshare.30069280.v2
title: Preschool Emotion Regulation Dataset: Experimental Data from China

description: This data includes a pre- and post-test analysis of covariance and a delayed post-test analysis of children's emotion regulation, as well as repeated measures.Also includes photos documenting the assessment process (children's faces have been blurred).Includes research instruments and reliability and validity analyses.
DOI: 10.5281/zenodo.17662699
title: VQ-Bench: Voice Quality Benchmark for Speech Foundation Models
DOI: 10.5281/zenodo.17662700
title: VQ-Bench: Voice Quality Benchmark for Speech Foundation Models
DOI: 10.15468/dl.fzgcx4
title: Occurrence Download

description: A dataset containing 485572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Celastrina argiolus",
 "Year 1960-2025"
 ]
}

 The dataset includes 485572 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000733-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240491
title: HIFLD OPEN Notice Marks (USACE IENC)

description: The USACE IENCs coverage area consists of 7,260 miles across 21 rivers primarily located in the Central United States. IENCs apply to inland waterways that are maintained for navigation by USACE for shallow-draft vessels (e.g., maintained at a depth of 9-14 feet, dependent upon the waterway project authorization). Generally, IENCs are produced for those commercially navigable waterways which the National Oceanic and Atmospheric Administration (NOAA) does not produce Electronic Navigational Charts (ENCs). However, Special Purpose IENCs may be produced in agreement with NOAA.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)
DOI: 10.3886/e240491v1
title: HIFLD OPEN Notice Marks (USACE IENC)

description: The USACE IENCs coverage area consists of 7,260 miles across 21 rivers primarily located in the Central United States. IENCs apply to inland waterways that are maintained for navigation by USACE for shallow-draft vessels (e.g., maintained at a depth of 9-14 feet, dependent upon the waterway project authorization). Generally, IENCs are produced for those commercially navigable waterways which the National Oceanic and Atmospheric Administration (NOAA) does not produce Electronic Navigational Charts (ENCs). However, Special Purpose IENCs may be produced in agreement with NOAA.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)
DOI: 10.15468/dl.zp7748
title: Occurrence Download

description: A dataset containing 13019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.12_1",
 "Year 1980-1985"
 ]
}

 The dataset includes 13019 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000768-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68ewu4
title: Occurrence Download

description: A dataset containing 3811 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Captura de datos de la Colección de Curculionoidea (Insecta: Coleoptera) de la Universidad Autónoma de Querétaro"
 ]
}

 The dataset includes 3811 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000766-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.