cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25381/cput.30541487.v1
title: Energy management for grid-connected hybrid offshore wind-tidal storage power systems.

description: This dataset supports research on the design, simulation, and optimisation of a hybrid offshore wind–tidal energy system integrated with a battery storage unit for grid-connected and off-grid applications in coastal South Africa. It contains meteorological, oceanographic, and load-demand data used in HOMER Pro and MATLAB/Simulink models to evaluate system performance, costs, and energy management. The dataset enables replication of simulations and further research in renewable hybrid system design and control optimisationStudy Area West Bank–East London, Buffalo City Metropolitan Municipality, Eastern Cape Province, South Africa Coordinates: 33°00′S, 27°55′E<br>
DOI: 10.15468/dl.pz8rhy
title: Occurrence Download

description: A dataset containing 3222554202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1975-2025"
 ]
}

 The dataset includes 3222554202 records from 60687 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032297-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4wpnf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago sativa",
 "Country is Chad",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024765-250811113504898/datasets/export for details.
DOI: 10.15468/dl.kzb8f7
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epipremnum pinnatum (L.) Engl.",
 "Country is India"
 ]
}

 The dataset includes 49 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010706-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hn9npa
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "Geometry POLYGON((18.20033 -39.24565,114.23611 -39.24565,114.23611 35.58689,18.20033 35.58689,18.20033 -39.24565))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lagocephalus lunaris (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 242 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009633-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14470/l17575324477
title: Anillo

description: The Anillo is a dense temporary seismic and geodetic network extending approximately 200 km along the strike of the subduction zone in North Chile in order to investigate how earthquakes and aseismic slip scale over a broader spectrum of source sizes, to understand the complex relationships between seismic and aseismic deformation, and to identify possible structural controls. This experiment is embedded into a larger scale experimental effort carried out by institutions in Germany and Chile. Waveform data are available from the GEOFON data centre, under network code Y6.
DOI: 10.15468/dl.kn7df8
title: Occurrence Download

description: A dataset listing the 4507 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHE.19.6_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 4507 records were derived from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007757-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpnbw2
title: Occurrence Download

description: A dataset containing 651 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymbaria daurica"
 ]
}

 The dataset includes 651 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007767-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17702584
title: Datasets and figures from the "Design and evaluation of semantically-valid negative sample integration techniques for scalable semi-automated drug repurposing prediction pipelines in rare disease research" paper (BMC-Bioinformatics)

description: These datasets and figures result from two separate runs of the scripts and Jupyter notenooks available on Github (v2025.1.0 releases for notebooks and Docker image; 1d25f56 and c9ec9c5 commits) on October 7th and 10th 2025. Methods and conclusions are thoroughly described in a paper that is currently under the second stage of peer-review for publishing on BMC Bioinformatics. A link/DOI will be added in the future when the pre-print will be available.
DOI: 10.5281/zenodo.17702583
title: Datasets and figures from the "Design and evaluation of semantically-valid negative sample integration techniques for scalable semi-automated drug repurposing prediction pipelines in rare disease research" paper (BMC-Bioinformatics)

description: These datasets and figures result from two separate runs of the scripts and Jupyter notenooks available on Github (v2025.1.0 releases for notebooks and Docker image; 1d25f56 and c9ec9c5 commits) on October 7th and 10th 2025. Methods and conclusions are thoroughly described in a paper that is currently under the second stage of peer-review for publishing on BMC Bioinformatics. A link/DOI will be added in the future when the pre-print will be available.
DOI: 10.15468/dl.tz5x57
title: Occurrence Download

description: A dataset containing 9330 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Botrytis cinerea"
 ]
}

 The dataset includes 9330 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007768-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14470/l27575187372
title: DARE: Dense ARray for seismic site effect Estimation

description: The project DARE proposes an integrated study of seismic site effects on the deep and elongated
Messinian Rhône Canyon (French Rhône Valley). Lithological information from boreholes reaching the bedrock and preliminary geophysical campaigns indicate that the canyon can reach locally &gt;500 m and may be deeply incised. The strong material contrast between the sedimentary filling and the substratum, as well as its expected confined geometry make this canyon a good candidate for generating various kinds of multi-dimensional site effects. Waveform data are available from the GEOFON data centre, under network code Y7.
DOI: 10.15468/dl.9h792v
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, Guadeloupe, Martinique, Saint Martin (French part), Saint Barthélemy, Saint Pierre and Miquelon, French Guiana, French Southern Territories, Mayotte, Réunion, French Polynesia, New Caledonia, Wallis and Futuna)",
 "Geometry POLYGON((3.03916 42.72808,3.04028 42.72808,3.04028 42.72832,3.03916 42.72832,3.03916 42.72808))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007769-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17711985
title: Bank-Enterprise ESG Consistency and Enterprise Green Investment: The Moderating Role of Stakeholders' Green Concerns
DOI: 10.5281/zenodo.17711986
title: Bank-Enterprise ESG Consistency and Enterprise Green Investment: The Moderating Role of Stakeholders' Green Concerns
DOI: 10.14470/9d7564946595
title: GFZ contribution to the COSEISMIQ seismic network

description: In the frame of the EU-project COSEISMIQ (COntrol SEISmicity and Manage Induced earthQuakes) natural and induced seismic events were monitored in Iceland. A temporary seismic network has been deployed in the Hengill geothermal region in Iceland, where the two largest geothermal power plants of the country are currently in operation. The GFZ contribution was the installation and operation of a small-scale seismic array in 2019-2021 in the vicinity of the broadband station MEI05 (ETH), in cooperation with ISOR (Iceland), ETH (Zurich) and DIAS (Dublin). This dataset is particularly valuable since a very dense network was deployed in a seismically active region where both induced and natural seismicity are occurring. For this reason, the collected COSEISMIQ-dataset can be used within a broad range of research topics in seismology ranging from the development and testing of new data analysis methods to induced seismicity and seismo-tectonics studies.
DOI: 10.14470/9b7563261622
title: Seismological profile across Longmenshan Fault - LONGMEN-P (2018-2020)

description: The main aim of this project is to investigate the crustal and mantle structure beneath the Longmenshan fault zone in China, based on a very dense passive seismology profile. The Longmenshan fault zone hosted the Wenchuan earthquake of May 2008 with a magnitude (Mw) of 7.9 and the Lushan earthquake of June 2013 with a magnitude (Mw) of 6.6. It is planned to mainly use the receiver-function method, to investigate the crustal and mantle structure beneath the Longmenshan fault zone. Waveform data are available from the GEOFON data center, under network code 4O.
DOI: 10.14470/1p7564636194
title: Myanmar subduction to collision imaging array (MySCOLAR)

description: The temporary seismic array of MySCOLAR in northern Myanmar consists of 30 broadband stations. The overall scientific goals are to understand the transition from continental collision to oceanic subduction, to quantify the partitioning of deformation in the accretionary prism, in the Burma Plate and along the strike-slip Sagaing fault system and to image the subducting Indian Plate beneath Myanmar and southwest China. The seismological analysis methods applied to this dataset will include location of local earthquakes and determining their focal mechanisms, surface wave tomography from ambient noise and earthquake data, body wave tomography from local and teleseismic earthquakes, full waveform inversion for Earth structure, receiver functions, and shear wave splitting. A subset of the stations was transmitting data in real time, and these stations contributed to real-time earthquake analysis by the Department of Meteorology and Hydrology (DMH) in Myanmar and the GEOFON earthquake monitoring service. Waveform data are available from the GEOFON data centre, under network code 6C.
DOI: 10.5282/ubm/data.724
title: Income Levels from Presargonic Ĝirsu

description: This database includes the income of almost 1800 individuals which they received from the Presargonic (ca. 2500-2400 BCE) organization called Emunus located in Girsu (a city in modern day southern Iraq), based on cuneiform administrative documents. This includes monthly barley salaries, annual wool or garment salaries, grain and vegetable harvests from land, gifts, and others. The income and additional variables, such as profession and gender, enable the investigation of income inequality.
Der Datensatz basiert auf der Dissertation "The Rich and the Poor, A Study on Income Inequality of Presargonic Girsu and Ur III Umma".
DOI: 10.14470/8c7562967492
title: Dataset of the 3P seismic network at the Theistareykir geothermal area, Iceland, 2017-2021

description: Continuous passive seismic monitoring is carried out between September 2017 and December 2021 around the Theistareykir geothermal area located at the intersection between the active Northern Rift Zone and the active Tjörnes Fracture Zone in NE Iceland. This experiment, in addition to an extensive gravimetric monitoring survey, was conducted in the framework of the MicroGraviMoTiS project for a better understanding of the structures and behavior of the local geothermal system under exploitation and for further development of local and regional geothermal resources. 14 broadband stations (Trillium C-120s) recording at 200 Hz comprise the temporary network, that is installed to complement stations of the national seismological network of IMO and stations of Landsvirkjun, the National Power Company of Iceland. The stations were placed in and around the producing zone to primarily retrieve local natural and/or induced seismicity associated to the injection and production operations. The retrieved seismic data is also used for obtaining a representative 1D velocity model of the region, for computing a seismic ambient noise tomography, and for monitoring the system using coda wave interferometry techniques. Funding for this project is provided by the German Federal Ministry for Education and Research (MicroGraviMoTiS , BMBF, grant: 03G0858A), the Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences and Landsvirkjun. Waveform data are available from the GEOFON data center, under network code 3P.
DOI: 10.5281/zenodo.16113319
title: Is wearable data reliable for monitoring behavior? Design of a wearable-based IoMT puzzle game for remote behavior monitoring

description: Abstract— Wearable Internet of Medical Things (IoMT) platforms are transforming remote health monitoring by enabling continuous, real-world data acquisition for chronic and neurodevelopmental conditions. However, ensuring data quality and system reliability remains a key challenge, particularly outside controlled clinical environments. Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects approximately 11.8 million children in the US. While existing treatment plans can help manage symptoms, current assessment methods rely heavily on subjective clinical rating scales, which are prone to errors and may lead to inaccurate evaluations. To address this, we present MindGame, a wearable IoMT system that integrates a commercially available smartwatch (Samsung Galaxy Watch 4) and a digital puzzle game to remotely monitor ADHD related behaviors. MindGame synchronizes gameplay data with physiological signals (accelerometer, gyroscope, heart rate, and computer mouse movement. We conducted a week-long study with 5 ADHD and 7 control participants, who used the system in both remote and laboratory environments. Twenty-seven unique puzzles were created. We analyzed four key data quality metrics: signal-to-noise ratio, percentage data loss, percentage of zeros (e.g., 0 bpm heart rate), and sample rate consistency. MindGame successfully collected data from 2427 puzzles with multimodal sensors from different devices. Our results highlight critical differences in data quality across remote and laboratory settings, validating the importance of adaptive quality check algorithms for real-world sensing.
DOI: 10.5281/zenodo.16113318
title: Is wearable data reliable for monitoring behavior? Design of a wearable-based IoMT puzzle game for remote behavior monitoring

description: Abstract— Wearable Internet of Medical Things (IoMT) platforms are transforming remote health monitoring by enabling continuous, real-world data acquisition for chronic and neurodevelopmental conditions. However, ensuring data quality and system reliability remains a key challenge, particularly outside controlled clinical environments. Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects approximately 11.8 million children in the US. While existing treatment plans can help manage symptoms, current assessment methods rely heavily on subjective clinical rating scales, which are prone to errors and may lead to inaccurate evaluations. To address this, we present MindGame, a wearable IoMT system that integrates a commercially available smartwatch (Samsung Galaxy Watch 4) and a digital puzzle game to remotely monitor ADHD related behaviors. MindGame synchronizes gameplay data with physiological signals (accelerometer, gyroscope, heart rate, and computer mouse movement. We conducted a week-long study with 5 ADHD and 7 control participants, who used the system in both remote and laboratory environments. Twenty-seven unique puzzles were created. We analyzed four key data quality metrics: signal-to-noise ratio, percentage data loss, percentage of zeros (e.g., 0 bpm heart rate), and sample rate consistency. MindGame successfully collected data from 2427 puzzles with multimodal sensors from different devices. Our results highlight critical differences in data quality across remote and laboratory settings, validating the importance of adaptive quality check algorithms for real-world sensing.
DOI: 10.15468/dl.8ybbr3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-120.8137 36.70565, -120.8057 36.69905, -120.8034 36.7009, -120.8115 36.70652, -120.8132 36.70643, -120.8137 36.70565))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007772-251120083545085/datasets/export for details.
DOI: 10.14470/4n7552467332
title: The COBO/CV-PLUME temporary seismic network

description: There is a growing debate on the conventional plume model and no consensus about their deep origin. Davaille et al. (2005) showed, using fluid mechanics experiments, the existence of different class of plumes, depending on mantle thermo-chemical properties. Cape Verde is located in the interior of a slow-moving oceanic plate, away from the Mid-Atlantic Ridge, and is associated with one of the world’s largest swell. Some swells are believed to be caused by mantle plumes that rise from deep in the mantle to interact with the base of the lithosphere, while others are considered to be originated by the stress state of the lithospheric plates themselves. As part of a combined study of seismic, gravimetric, magnetic and geochemical observations in order to get a clearer picture of what is happening underneath Cape Verde we performed a first dense seismological VBB network deployment on several Cape Verde islands in 2007 and 2008. This presented a unique opportunity to assemble an important archive of high-quality seismic waveforms, recorded on oceanic volcanic islands. Waveform data are available from the GEOFON data centre, under network code 9A with CC-BY 4.0 license.
DOI: 10.17632/vbdx734kb6
title: Database used for production of article on land use and land cover in southern Brazil.

description: This database refers to the quantification of land use cover classes between 1985 and 2021, including graphs. The geographic scope is three Brazilian protected areas located in southern Brazil.
DOI: 10.17632/vbdx734kb6.2
title: Database used for production of article on land use and land cover in southern Brazil.

description: This database refers to the quantification of land use cover classes between 1985 and 2021, including graphs. The geographic scope is three Brazilian protected areas located in southern Brazil.
DOI: 10.14470/mx7576871994
title: The Irpinia seismic Array

description: Irpinia seismic Array is part of the DEnse mulTi-paramEtriC observations and 4D high resoluTion imaging (DETECT) project focused on the acquisition of a unique multiparametric dataset and fosters collaboration among various institutions. The University of Naples Federico II (UniNa) and the German Research Centre for Geosciences (GFZ) are leading this effort carried out in collaboration with various local institutions and supported by the local municipalities. The DETECT project aims at exploiting very dense seismic networks deployed across a segmented fault system (Irpinia and Pergola-Melandro) to foster the development of scientific integrated methodologies for monitoring and imaging the fault behavior during the inter-seismic phase. The Irpinia seismic Array consists of a dense constellation of seismic antennas using more than 200 seismic stations deployed for one year. Each seismic antenna, with maximum aperture of ~2 km, uses one broad-band sensor, one short period sensor with 1 Hz and 8 with 4.5 Hz natural frequency. The antennas are deployed above and near the fault segments that generated during the last centuries many strong earthquakes in the southern Apennines. Waveform data are available from the GEOFON data centre, under network code ZK.
DOI: 10.15468/dl.23z5rr
title: Occurrence Download

description: A dataset containing 514582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypodiopsida"
 ]
}

 The dataset includes 514582 records from 403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007713-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/i2rqb7
title: Dados apresentados em forma de tabelas e quadros, associados à tese intitulada “Narrativas docentes e as políticas curriculares sobre as matemáticas do curso de Administração na Universidade Federal Rural do Semi-Árido”

description: Os dados apresentados referem-se à pesquisa de doutorado intitulada “Narrativas docentes e as políticas curriculares sobre as matemáticas do curso de Administração na Universidade Federal Rural do Semi-Árido”. Eles foram sistematizados em tabelas e quadros, resultantes de uma análise qualitativa de documentos governamentais e institucionais — como as Diretrizes Curriculares Nacionais e os Projetos Pedagógicos do Curso de Administração da Ufersa —, bem como de entrevistas com professores das disciplinas matemáticas do referido curso.
DOI: 10.15468/dl.8ebm9n
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Medicago ruthenica",
 "Year 1950-2025"
 ]
}

 The dataset includes 247 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007779-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2yyce6
title: Occurrence Download

description: A dataset containing 782 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hexacola"
 ]
}

 The dataset includes 782 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007780-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.