cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17034382
title: ECG Signal Dataset

description: This dataset contains electrocardiogram (ECG) signal recordings and extracted physiological parameters, collected for the purpose of classifying heart conditions into two categories: Normal and Arrhythmia.

Data was collected from 30 male university students, aged 18 to 22 years, at Universitas Prima Indonesia. Each participant was recorded under three physical activity conditions—sitting, walking, and running—with 3 minutes of ECG data per activity, totaling 9 minutes per subject. The ECG signals were captured using a portable ECG monitoring device, with electrodes placed on the chest to ensure accurate and consistent signal quality. Subjects were instructed to remain relaxed while sitting and to walk or run under controlled supervision.

The raw ECG signals were preprocessed to improve signal quality, including noise removal, normalization, and feature extraction. The resulting dataset includes 11 features for each ECG sample:





RR interval




PR interval




QS interval




QT interval




ST interval




Standard deviations of each interval




Heart rate (in BPM)



These features capture essential aspects of cardiac electrical activity and variability, making the dataset highly relevant for arrhythmia detection, ECG classification, and biomedical signal processing.
DOI: 10.15468/dl.nxnkpz
title: Occurrence Download

description: A dataset listing the 14528 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset's 14528 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022734-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14932065
title: Dataset: Forecasting chlorophyll-a concentration in the North Sea

description: This dataset was produced within the context of the Forecasting Water Quality from Space study proposed by and granted to Brockmann Consult GmbH in reply to ESA's Invitation to Tender for Future  EO-1 EO Science for Society Permanently Open Call for Proposals, ESA Ref. ESA AO/1-10468/20/I-FvO.

The objective of the study was to provide time series forecasts of chlorophyll concentration. Predicted chlorophyll concentration is derived from EO-based retrievals of chlorophyll concentration and several covariates, which are routinely provided by (re)analysis and forecast services based on biological, chemical, physical, and meteorological models.

 




Data cube
Contents


FCWQ_bgcm_2016-2020
Chlorophyll concentration obtained from biogeochemical reanalysis 


FCWQ_cube_2016-2020
Data for training and validating the forecast model


FCWQ_xgb1_2016-2020
Forecasts of chlorophyll concentration for one day into the future


FCWQ_xgb2_2016-2020
Forecasts of chlorophyll concentration for two days into the future


FCWQ_xgb3_2016-2020
Forecasts of chlorophyll concentration for three days into the future


FCWQ_xgb4_2016-2020
Forecasts of chlorophyll concentration for four days into the future


FCWQ_xgb5_2016-2020
Forecasts of chlorophyll concentration for five days into the future


FCWQ_xgb6_2016-2020
Forecasts of chlorophyll concentration for six days into the future


FCWQ_xgb7_2016-2020
Forecasts of chlorophyll concentration for seven days into the future
description: This research has been conducted using E.U. Copernicus Marine Service Information 2016, 2017, 2018, 2019, 2020; https://doi.org/10.48670/moi-00058, https://doi.org/10.48670/moi-00059.
description: This research has been conducted using E.U. Copernicus Climate Change Service Information 2016, 2017, 2018, 2019, 2020; https://doi.org/10.24381/cds.143582cf.
description: This reseach has been conducted using chlorophyll concentration products provided by the OSPAR Commission 2016, 2017, 2018, 2019, 2020. Published OSPAR data are available at OSPAR Data and Information Management System (ODIMS, https://odims.ospar.org/).
description: The authors have used resources provided by Deep Earth System Data Lab (DeepESDL, https://www.earthsystemdatalab.net).
description: Use https://github.com/xcube-dev/xcube-zenodo to access the data cubes directly from Python or your Jupyter notebook. Consider the code examples. For instance:

from xcube.core.store import new_data_store
store = new_data_store("zenodo", root="14932066")
preload_store = store.preload_data("FCWQ_cube_2016-2020_v3.0.zarr.zip")
preloaded_data_ids = preload_store.list_data_ids()
cube = preload_store.open_data(preloaded_data_ids[0])
description: Brockmann Consult GmbH acknowledges funding by Future EO-1 EO Science for Society Permanently Open Call for Proposals under ESA Contract No. 4000141597/23/I-DT-bgh.
DOI: 10.5281/zenodo.14932066
title: Dataset: Forecasting chlorophyll-a concentration in the North Sea

description: This dataset was produced within the context of the Forecasting Water Quality from Space study proposed by and granted to Brockmann Consult GmbH in reply to ESA's Invitation to Tender for Future  EO-1 EO Science for Society Permanently Open Call for Proposals, ESA Ref. ESA AO/1-10468/20/I-FvO.

The objective of the study was to provide time series forecasts of chlorophyll concentration. Predicted chlorophyll concentration is derived from EO-based retrievals of chlorophyll concentration and several covariates, which are routinely provided by (re)analysis and forecast services based on biological, chemical, physical, and meteorological models.

 




Data cube
Contents


FCWQ_bgcm_2016-2020
Chlorophyll concentration obtained from biogeochemical reanalysis 


FCWQ_cube_2016-2020
Data for training and validating the forecast model


FCWQ_xgb1_2016-2020
Forecasts of chlorophyll concentration for one day into the future


FCWQ_xgb2_2016-2020
Forecasts of chlorophyll concentration for two days into the future


FCWQ_xgb3_2016-2020
Forecasts of chlorophyll concentration for three days into the future


FCWQ_xgb4_2016-2020
Forecasts of chlorophyll concentration for four days into the future


FCWQ_xgb5_2016-2020
Forecasts of chlorophyll concentration for five days into the future


FCWQ_xgb6_2016-2020
Forecasts of chlorophyll concentration for six days into the future


FCWQ_xgb7_2016-2020
Forecasts of chlorophyll concentration for seven days into the future
description: This research has been conducted using E.U. Copernicus Marine Service Information 2016, 2017, 2018, 2019, 2020; https://doi.org/10.48670/moi-00058, https://doi.org/10.48670/moi-00059.
description: This research has been conducted using E.U. Copernicus Climate Change Service Information 2016, 2017, 2018, 2019, 2020; https://doi.org/10.24381/cds.143582cf.
description: This reseach has been conducted using chlorophyll concentration products provided by the OSPAR Commission 2016, 2017, 2018, 2019, 2020. Published OSPAR data are available at OSPAR Data and Information Management System (ODIMS, https://odims.ospar.org/).
description: The authors have used resources provided by Deep Earth System Data Lab (DeepESDL, https://www.earthsystemdatalab.net).
description: Use https://github.com/xcube-dev/xcube-zenodo to access the data cubes directly from Python or your Jupyter notebook. Consider the code examples. For instance:

from xcube.core.store import new_data_store
store = new_data_store("zenodo", root="14932066")
preload_store = store.preload_data("FCWQ_cube_2016-2020_v3.0.zarr.zip")
preloaded_data_ids = preload_store.list_data_ids()
cube = preload_store.open_data(preloaded_data_ids[0])
description: Brockmann Consult GmbH acknowledges funding by Future EO-1 EO Science for Society Permanently Open Call for Proposals under ESA Contract No. 4000141597/23/I-DT-bgh.
DOI: 10.15468/dl.zdwp2n
title: Occurrence Download

description: A dataset containing 16593 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Florida Manatee Synoptic Aerial Survey 1991-2019"
 ]
}

 The dataset includes 16593 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022754-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17047818
title: Database of NOT YET and TAM markers in indigenous American languages

description: Database of NOT YET and TAM markers in indigenous American languages
DOI: 10.15468/dl.ka2nre
title: Occurrence Download

description: A dataset containing 17195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Accipiter nisus, Milvus migrans)",
 "Year 2000-2025"
 ]
}

 The dataset includes 17195 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022755-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7g8tu
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrocotyle mannii",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 216 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022756-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jfr2ke
title: Occurrence Download

description: A dataset containing 16953 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peucedanum ostruthium"
 ]
}

 The dataset includes 16953 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022757-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzc3vu
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "StateProvince is 甘肃",
 "TaxonKey is Astragalus membranaceus mongholicus"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022759-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pv95zz
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022760-250827131500795/datasets/export for details.
DOI: 10.15468/dl.32h7s8
title: Occurrence Download

description: A dataset containing 3178 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acalypha villosa"
 ]
}

 The dataset includes 3178 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022758-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17047819
title: supplementary materials JDS Transitioning Toward Sustainable Dairy Systems in Europe: A Systematic Literature Review

description: Transitioning Toward Sustainable Dairy Systems in Europe: A Systematic Literature ReviewTo ensure transparency and methodological rigor, articles that were excluded such as non-European case studies (marked in blue) and studies focused on non-dairy species or general reviews without sectoral specificity (marked in orange) are summarized in the supplementary materials. Given the relative scarcity of explicitly agroecological studies within the dairy sector, sustainability-oriented literature offers a valuable, if indirect, foundation for postulating the dynamics, challenges, and enabling conditions of an agroecological transition. This approach is grounded in the understanding that agroecology is inherently multi-dimensional and overlaps significantly with sustainability goals related to resilience, equity, and resource efficiency.
DOI: 10.5281/zenodo.17047820
title: supplementary materials JDS Transitioning Toward Sustainable Dairy Systems in Europe: A Systematic Literature Review

description: Transitioning Toward Sustainable Dairy Systems in Europe: A Systematic Literature ReviewTo ensure transparency and methodological rigor, articles that were excluded such as non-European case studies (marked in blue) and studies focused on non-dairy species or general reviews without sectoral specificity (marked in orange) are summarized in the supplementary materials. Given the relative scarcity of explicitly agroecological studies within the dairy sector, sustainability-oriented literature offers a valuable, if indirect, foundation for postulating the dynamics, challenges, and enabling conditions of an agroecological transition. This approach is grounded in the understanding that agroecology is inherently multi-dimensional and overlaps significantly with sustainability goals related to resilience, equity, and resource efficiency.
DOI: 10.6084/m9.figshare.30043126
title: RULA data

description: Laboratory students are at risk of developing work-related musculoskeletal disorders (WRMSDs) due to sustained challenging postures and repetitive tasks. Ergonomic assessment tools, such as the Rapid Upper Limb Assessment (RULA), provide valuable insights into posture-related risks and their association with lifestyle and health factors. This study aimed to evaluate ergonomic risk among laboratory students using the RULA method and to examine its relationship with physical activity, sleep quality, body composition, and quality of life.
DOI: 10.6084/m9.figshare.30043126.v1
title: RULA data

description: Laboratory students are at risk of developing work-related musculoskeletal disorders (WRMSDs) due to sustained challenging postures and repetitive tasks. Ergonomic assessment tools, such as the Rapid Upper Limb Assessment (RULA), provide valuable insights into posture-related risks and their association with lifestyle and health factors. This study aimed to evaluate ergonomic risk among laboratory students using the RULA method and to examine its relationship with physical activity, sleep quality, body composition, and quality of life.
DOI: 10.15468/dl.kpuwt7
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022761-250827131500795/datasets/export for details.
DOI: 10.15468/dl.7jvnhu
title: Occurrence Download

description: A dataset containing 654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "PublishingOrg is cecc196e-f262-4986-a88a-6adf035dca0e",
 "TaxonKey is Enteromius eutaenia"
 ]
}

 The dataset includes 654 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022762-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft9srw
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrocotyle ranunculoides",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 347 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022764-250827131500795/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/12951607
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.entbgm
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidium africanum",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022763-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58088/aab5-8934
title: SOURCES OF DIC AND δ13C-DIC IN THE ROOSEVELT INLET
DOI: 10.15468/dl.fkmpz4
title: Occurrence Download

description: A dataset containing 16593 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Florida Manatee Synoptic Aerial Survey 1991-2019"
 ]
}

 The dataset includes 16593 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022766-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17046073
title: Hydrogen-deficient binary stars with magnetic braking

description: Input files and simulation results for stellar evolution models computed in the paper "Hydrogen-deficient binary stars with magnetic braking", to be published in MNRAS. Version 15140 of MESA was used for the simulations.
DOI: 10.5281/zenodo.17046074
title: Hydrogen-deficient binary stars with magnetic braking

description: Input files and simulation results for stellar evolution models computed in the paper "Hydrogen-deficient binary stars with magnetic braking", to be published in MNRAS. Version 15140 of MESA was used for the simulations.
DOI: 10.15468/dl.9a3byx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Epiplatys huberi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022767-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.16962380
title: StemCNV-check example dataset

description: Example inpout and output files for StemCNV-check (version 1.0.0)

The output file collection only contains the most important files, not the complete workflow output: html reports and accompanying extra images, vcf file with all CNVs, and summary xlsx tables.
DOI: 10.5281/zenodo.16962381
title: StemCNV-check example dataset

description: Example inpout and output files for StemCNV-check (version 1.0.0)

The output file collection only contains the most important files, not the complete workflow output: html reports and accompanying extra images, vcf file with all CNVs, and summary xlsx tables.
DOI: 10.21227/ha7t-4d31
title: "Demo Audio Samples for Visual-Informed Neural Beamforming Network (VI-NBFNet)"

description: "This dataset contains audio demonstrations associated with the paper \"Visual-Informed Speech Enhancement Using Attention-Based Beamforming\". It includes ground truth, noisy, and enhanced audio samples generated in real multichannel audio-visual experiments conducted in a conference room."
DOI: 10.15468/dl.dmubcf
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heptapleurum macrophyllum"
 ]
}

 The dataset includes 73 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022769-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vdct4
title: Occurrence Download

description: A dataset containing 25503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Fumana ericifolia"
 ]
}

 The dataset includes 25503 records from 275 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022768-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17047861
title: Genes estrés oxidativo Arabidopsis
DOI: 10.5281/zenodo.17047862
title: Genes estrés oxidativo Arabidopsis
DOI: 10.25574/42165
title: Chandra X-ray Observatory ObsId 42165
DOI: 10.5281/zenodo.16610382
title: CNN-Based Model for 3D CME Parameter Prediction

description: This repository contains the dataset(One CME case due to not able to upload more than 100 files at once and metadata) used to produce the results in the paper 'CNN-Based Model for 3D CME Parameter Prediction: A Proof of Concept'. Full image compressed dataset will be uploaded soon.
DOI: 10.5281/zenodo.17047839
title: CNN-Based Model for 3D CME Parameter Prediction

description: This repository contains the dataset(One CME case due to not able to upload more than 100 files at once and metadata) used to produce the results in the paper 'CNN-Based Model for 3D CME Parameter Prediction: A Proof of Concept'. Full image compressed dataset will be uploaded soon.
DOI: 10.15468/dl.xnys9t
title: Occurrence Download

description: A dataset containing 7612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Canis latrans",
 "Year 2025-2025"
 ]
}

 The dataset includes 7612 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022770-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/55x0-3637
title: "Super Heroes Dataset"

description: "Super Heroes have been in popular culture for a long time and now more than ever. Since its creation, super heroes have not been very diverse, but that is changing rapidly. This dataset aims to provide an overview about heroes and their physical as well as power characteristics, helping researchers and curious minds identify trends and patterns. This data was collected in June\/2017 from superherodb and not updated since, so it may not be up to date. There are two datasets here. The first one lists the characteristics of every super hero found on my source, the second contains information about every superpower and lists if they are present in any given hero."
DOI: 10.15468/dl.bhftsf
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidium africanum",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022771-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tb6bm
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidium africanum",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022772-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.