cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31204012.v1
title: A web platform for exercise training and automated remote physical assessment of chronic patients by their health professionals : a usability study

description: Telerehabilitation is an emerging technology that uses digital technologies to perform evaluation and treatment to provide rehabilitative care to patients in various locations. This approach has advantages such as reducing costs and overcoming barriers of distance. This study assessed a web-based exercise training platform usability by healthcare professionals who provide exercise training coaching services. We adopted a mixed-method design. The platform was given to professionals for six weeks. The method involved usability testing, followed by interviews (to assess the web platform's acceptability). We used ATTRAKDiff and DEEP questionnaires to assess the platform's usability. The conformity of the platform with the needs and the facility of its integration in the daily organisation of the health professionals were explored using semi-structured interviews. In total, 20 rehabilitation professionals were recruited to complete the study on the basis of a purposive sample with a maximum of diversity. We found a good attractiveness (ATT = 1.98) and a high usability of the platform (DEEP = 90.7%). In total, three main themes (platform quality, challenges of integrating platform use into their daily lives and social factors) emerged from the interview data, shedding light on users’ perspectives and experiences with the platform. This study emphasises the importance of a remote physical training platform, which should be easy to use, understandable, and aesthetically pleasing. This collaborative approach of platform co-construction by future users will enable the next versions of Adepina to be more personalised and better promote the achievement of effort retraining programmes. <b>Trial registration:</b>ClinicalTrials.gov identifier: NCT06558591..
DOI: 10.5281/zenodo.18428082
title: GreenInformationFactory – Release Payload (Processed Data, Models, Results)

description: Release payload generated by the GreenInformationFactory pipeline. Contains processed data splits, trained model bundle, evaluation outputs, sustainability proxy results (v1/PCA/assumptions), and scenario analysis artifacts. Raw data source: 10.5281/zenodo.16256961.
DOI: 10.5281/zenodo.18428081
title: GreenInformationFactory – Release Payload (Processed Data, Models, Results)

description: Release payload generated by the GreenInformationFactory pipeline. Contains processed data splits, trained model bundle, evaluation outputs, sustainability proxy results (v1/PCA/assumptions), and scenario analysis artifacts. Raw data source: 10.5281/zenodo.16256961.
DOI: 10.5281/zenodo.17978793
title: 2026 Europlanet GMAP Winter School - VRGS demo hands-on

description: These are the datasets for the hands-on demo of VRGS during the GMAP Winter School 2026. You will find two 3D models, one for an ice cave in Argentina (Jimbo), and one for a lava tube in Lanzarote, Spain (Jameo de la Gente).
DOI: 10.5281/zenodo.17978792
title: 2026 Europlanet GMAP Winter School - VRGS demo hands-on

description: These are the datasets for the hands-on demo of VRGS during the GMAP Winter School 2026. You will find two 3D models, one for an ice cave in Argentina (Jimbo), and one for a lava tube in Lanzarote, Spain (Jameo de la Gente).
DOI: 10.15468/dl.s7kqmm
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microlepidium pilosulum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 95 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001561-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/57653719-434b-4b11-9f0d-3bd76054d8bd
title: UK Checklist of freshwater species

description: The UK Checklist of Freshwater Species is a collation of all the species (apart from algae) known to be found in association with fresh waters in the United Kingdom. 

The following eight major groups were identified as being associated with fresh waters in the UK: algae, amphibians, birds, fish, invertebrates, macrophytes, mammals and reptiles. Algae (except stoneworts) were not included in the UK Checklist of Freshwater Species as they are currently undergoing a major revision. Other microorganisms (bacteria, fungi and viruses) are also not included in this species list.

The checklist was compiled to allow querying of freshwater species data in the Biological Records Centre (BRC) but to also to query freshwater species data from the BRC via the UK Lakes Portal (https://uklakes.ceh.ac.uk/), as well as to update the freshwater species list supplied to the UK Species Inventory (UKSI) partners, such as Recorder 6, National Biodiversity Network (NBN) Atlas and iRecord.
description: The UK Checklist of Freshwater Species was put together between 2015-2017 by Iain Gunn (CEH Edinburgh) in collaboration with Laurence Carvalho (CEH Edinburgh), Chris Raper (Natural History Museum (NHM)), Gavin Siriwardena (British Trust for Ornithology (BTO)) and Ian Winfield (CEH Lancaster). The checklist was compiled, primarily, under the auspices of the NERC Highlights Hydroscape project (NEC05609). The freshwater invertebrate component of the checklist was updated by Iain Gunn predominantly based on the 2011 version of the Mike Furse (ex-CEH Dorset, now retired)/Peter Maitland (Fish Conservation Centre) invertebrate code list compiled by Cynthia Davies (ex-CEH Wallingford, now retired) and Francois Edwards (CEH Wallingford).
DOI: 10.5281/zenodo.18427819
title: Supplemental Data for Manuscript CR-Medicine

description: Processed scRNA-seq matrics for the study on colorectal cancer liver metastasis.
DOI: 10.5281/zenodo.18427818
title: Supplemental Data for Manuscript CR-Medicine

description: Processed scRNA-seq matrics for the study on colorectal cancer liver metastasis.
DOI: 10.15468/dl.ypqku6
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Morettia canescens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 79 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001562-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57680/asep.0645332
title: Data - Mapy potenciálu využití údolní nivy mapy v současnosti neúčelně ohrazených niv a aktuálního stavu území
title: Data - Maps of the floodplain potential use, inefficient floodplain protection measures, and the current state of the territory

description: Mapy umožňují podrobně analyzovat potřebu povodňové ochrany území a zároveň identifikovat oblasti využitelné pro zvýšení přirozené retence v údolní nivě. Pro odborníky může sloužit jako podklad pro návrhy úprav a podrobné analýzy hrázových systémů. Pro veřejnost mapy poskytují přehled o stavu protipovodňové ochrany a širších souvislostech v zájmovém území. Mapa se skládá z 3 mapových vrstev popisujících i/ stávající míru ochrany; ii/ předběžnou klasifikaci ochranných hrází; iii/ rozsah rozlivu pro různá QN a různý výškový model pro lokalitu Uherský Ostroh.
description: The maps enable detailed analysis of flood protection needs in the area and identify areas that can be used to increase natural retention in the floodplain. For experts, they can serve as a basis for proposals for modifications and detailed analyses of dike systems. For the public, the maps provide an overview of the state of flood protection and the broader context in the area of interest. The map consists of three map layers describing i) the current level of protection; ii) the preliminary classification of protective dikes; and iii) the extent of flooding for different QN and different elevation models for the Uherský Ostroh locality.
DOI: 10.5285/0a0be1c9-3f1d-445f-a2f4-725ef6d2e469
title: 210Pb-dated historical lake sediment metal concentrations from Norfolk, UK (mid-19th century to 2009)

description: Measurements of sediment properties (including organic and carbonate content), radionuclides (210Pb, 137Cs, 241Am) and elements (including mercury, nickel, copper, zinc, and lead) in lake sediment successions. Radionuclide dating provides a reliable chronology of sediment ages from the mid-19th century (sometimes only 20th century) to the present (2016). The dataset comprises a standardised matrix of multiple measured sediment variables (element values per mass) against stratigraphic depth for 8 lakes.
description: Sediment cores were collected by boat and coring equipment prior to project start. Sediment intervals were measured for water content, organic content and carbonate content by heating and combustion (loss-on-ignition). 210Pb dating and other radionuclides were measured on subsamples from core intervals by gamma spectroscopy at the UCL Environmental Radiometric Facility. Water content, organic content, carbonate content and 210Pb dating were measured for a number of student and research reports (unpublished) that in some cases led to being published. Previous workers efforts are gratefully acknowledged. For each lake the report/dissertation/publication is listed in Supplemental Information by WBID and Core Name.
WBID is the waterbody number allocated to lakes from a GIS-based inventory developed by University College London and the UK Centre of Ecology & Hydrology in 2004 (Hughes et al. 2004). The UK Lakes Portal (https://uklakes.ceh.ac.uk/) contains details of over 40,000 lakes across the UK. Core names are a four letter abbreviation (usually) of the site name and a distinguishing number. Core coding is managed by the UCL Geography in-house core database Amphora.
New concentrations of elements for NERC Hydroscape were measured in 2016 on archived sediments from these previously collected cores. Sediments were extracted from the UCL Geography Dried Sediment archive. Milled samples of sediment were measured by X-Ray Fluorescence (XRF) spectroscopy using an Energy dispersive XRF (Bruker Ltd) with standard reference sediments prepared and run with the core samples. Mercury (total) was measured on subsamples by cold-vapour fluorescence spectroscopy (CV-AFS). Sediment core element concentrations measured by XRF and CV-AFS were measured with laboratory blanks and standard reference sediment samples.
DOI: 10.5281/zenodo.18268858
title: EDGELESS: RL training and experiment sample data

description: This directory contains shared data files for RL experiments, including training transition dumps and experiment results organized by different policy configurations. Experiment context include 4 dockerized edgeless nodes, with 1,2,3 and 4 respectively.

 

README.md has detailes on the content and format.
DOI: 10.5281/zenodo.18268857
title: EDGELESS: RL training and experiment sample data

description: This directory contains shared data files for RL experiments, including training transition dumps and experiment results organized by different policy configurations. Experiment context include 4 dockerized edgeless nodes, with 1,2,3 and 4 respectively.

 

README.md has detailes on the content and format.
DOI: 10.15468/dl.ybbkrg
title: Occurrence Download

description: A dataset containing 2538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((116.83827 36.61094,117.45378 36.61094,117.45378 37.06055,116.83827 37.06055,116.83827 36.61094))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2023-2026"
 ]
}

 The dataset includes 2538 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001563-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jqsgf
title: Occurrence Download

description: A dataset containing 521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moricandia moricandioides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 521 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001564-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5qq8d
title: Occurrence Download

description: A dataset containing 4506 records in GBIF matching the query:
SELECT
 '456' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 41.89415215079384
 AND decimalLatitude &lt;= 46.479780028101516
 AND decimalLongitude &gt;= 119.88149504725064
 AND decimalLongitude &lt;= 132.18235992772037
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 4506 records were derived from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001556-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18366916
title: Wildfire CE - Data for Fuel and Fire Modelling

description: This repository collects data needed for modelling fire behaviour and further wildfire danger maps at  pilot regions for the Wildfire CE project. 

For direct visualization please use the GEE app https://progetto-eu-h2020-cirgeo.projects.earthengine.app/view/wildfire.

Data layers



raster of Canopy Height Model (m)

raster of Canopy Base Height (m)

raster of Canopy Bulk Density (kg/m3)

raster of Topography DEM (m a.s.l.) from   https://doi.org/10.5281/zenodo.4056634

raster of Topography Slope (percentage)

raster of Topography Aspect (degrees with respect to North, clockwise direction)

vector of Roads from Open Street Map (https://wiki.openstreetmap.org/wiki/Key:highway)

raster of Fuel Models (available shortly) according to Scott&Burgan Scott JH, Burgan RE (2005) Standard fire behavior fuel models: A comprehensive set for use with Rothermel’s surface fire spread model. USDA Forest Service - General Technical Report RMRS-GTR 1–76. doi:10.2737/RMRS-GTR-153

QML (QGIS style) file for Fuel Models


Files naming convention

The file naming without the extents uses the following syntax:  <group>_<NUTS-IDs>_<layer> 

<group>       Areas are grouped in  pilot regions or pilot sites (in this version only pilot regions).       Examples:          pilotRegions      = regional-scale datasets           pilotSites        =   localized study areas <NUTS-IDs>       NUTS codes of participating countries separated by '-'       Examples:           AT-CZ     = Austria / Czech Republic           IT-SI     = Italy / Slovenia            DE-CZ     = Germany / Czech Republic  <layer>       short, lowercase descriptors using underscores between levels of description       Examples:           topography_dem           topography_slopeDegrees           canopy_canopyBaseHeight           canopy_canopyBulkDensity  

Grid alignment 

All data are in the coordinate reference system EPSG:3035 ETRS89-extended / LAEA Europe and grid cells are at 30 x 30 m cells. It is an equal-area  projection, it preserves areas across its bounds so each pixel is 900 m2.  Axes origin is at 10° East and 52° North and the false Easting and Northing are respectively 4321000 m and 3210000 m . All 30 m cells are aligned to this origin, i.e. a 30x30 m cell at the origin will have its cell center at 4321015 m E and 3210015 m N and the left-bottom corner at 4321000 m E and 3210000 m N.

Formats

All raster files are at 30 m cell resolution in GeoTIFF with LZW compression in 32 bit floating point values and cloud-optimized (pyramid internal layers). - only rasters with fuel Models are in 8-bit integer format.

All vector files are in Geopackage format.
DOI: 10.15468/dl.avwyxp
title: Occurrence Download

description: A dataset containing 93240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis niloticus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 93240 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001548-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18426378
title: Datasets for battery early warning
DOI: 10.5281/zenodo.18426379
title: Datasets for battery early warning
DOI: 10.5281/zenodo.18415587
title: Reicht die staatliche Rente für den Ruhestand? Eine vergleichende Analyse der jährlichen Ausgaben vs. staatliche Renten in 30 europäischen Ländern

description: Diese Untersuchung bietet eine umfassende Analyse der „Renten-Wirklichkeit“ in Europa, indem sie die Diskrepanz zwischen staatlichen Rentenzahlungen und den tatsächlichen Lebenshaltungskosten aufzeigt. Die Studie von der Datenanalyse-Firma DataPulse Research analysiert die realen Ausgabengewohnheiten von Personen über 60 Jahren in 30 Ländern, rechnet historische Daten auf das Preisniveau von 2023 hoch und stellt diese direkt den durchschnittlichen staatlichen Altersrenten gegenüber.

Zentrale Ergebnisse:



Das Rentendefizit: In 24 der 30 analysierten Länder deckt die durchschnittliche staatliche Rente nicht die typischen jährlichen Ausgaben ab.

Überschuss-Länder: Nur in vier Ländern übersteigt die staatliche Rente die durchschnittlichen Ausgaben: Rumänien (+21 %), Tschechien (+18 %), Polen (+4 %) und Spanien (+3 %).

Der Wohnkosten-Faktor: Wohnen und Nebenkosten machen etwa ein Drittel der Ausgaben aus. Wohneigentum bietet einen erheblichen finanziellen Vorteil gegenüber den ca. 60 % der Senioren in Ländern wie Deutschland, die zur Miete wohnen.

Armuts-Paradoxon: In Ländern wie Norwegen oder Luxemburg bleibt das Armutsrisiko trotz einer rechnerischen Deckungslücke niedrig, da das System auf einer starken zweiten und dritten Säule (betriebliche und private Vorsorge) basiert.


Methodik: Die Studie nutzt Eurostat-Datensätze für 27 EU-Länder sowie Norwegen, Montenegro und Serbien. Die Rentenbeträge wurden berechnet, indem die Gesamtaltersrenten durch die Anzahl der Empfänger geteilt wurden. Die Ausgabenschätzung erfolgte in einem dreistufigen Prozess: Schätzung basierend auf historischen Daten (2005–2020), Berechnung kategoriespezifischer Anteile und Inflationsbereinigung auf den Euro-Wert von 2023.

Die Studie: Reicht die Rente für den Ruhestand?Quelle: Eurostat
DOI: 10.5281/zenodo.18415588
title: Reicht die staatliche Rente für den Ruhestand? Eine vergleichende Analyse der jährlichen Ausgaben vs. staatliche Renten in 30 europäischen Ländern

description: Diese Untersuchung bietet eine umfassende Analyse der „Renten-Wirklichkeit“ in Europa, indem sie die Diskrepanz zwischen staatlichen Rentenzahlungen und den tatsächlichen Lebenshaltungskosten aufzeigt. Die Studie von der Datenanalyse-Firma DataPulse Research analysiert die realen Ausgabengewohnheiten von Personen über 60 Jahren in 30 Ländern, rechnet historische Daten auf das Preisniveau von 2023 hoch und stellt diese direkt den durchschnittlichen staatlichen Altersrenten gegenüber.

Zentrale Ergebnisse:



Das Rentendefizit: In 24 der 30 analysierten Länder deckt die durchschnittliche staatliche Rente nicht die typischen jährlichen Ausgaben ab.

Überschuss-Länder: Nur in vier Ländern übersteigt die staatliche Rente die durchschnittlichen Ausgaben: Rumänien (+21 %), Tschechien (+18 %), Polen (+4 %) und Spanien (+3 %).

Der Wohnkosten-Faktor: Wohnen und Nebenkosten machen etwa ein Drittel der Ausgaben aus. Wohneigentum bietet einen erheblichen finanziellen Vorteil gegenüber den ca. 60 % der Senioren in Ländern wie Deutschland, die zur Miete wohnen.

Armuts-Paradoxon: In Ländern wie Norwegen oder Luxemburg bleibt das Armutsrisiko trotz einer rechnerischen Deckungslücke niedrig, da das System auf einer starken zweiten und dritten Säule (betriebliche und private Vorsorge) basiert.


Methodik: Die Studie nutzt Eurostat-Datensätze für 27 EU-Länder sowie Norwegen, Montenegro und Serbien. Die Rentenbeträge wurden berechnet, indem die Gesamtaltersrenten durch die Anzahl der Empfänger geteilt wurden. Die Ausgabenschätzung erfolgte in einem dreistufigen Prozess: Schätzung basierend auf historischen Daten (2005–2020), Berechnung kategoriespezifischer Anteile und Inflationsbereinigung auf den Euro-Wert von 2023.

Die Studie: Reicht die Rente für den Ruhestand?Quelle: Eurostat
DOI: 10.15468/dl.keqr6g
title: Occurrence Download

description: A dataset containing 10394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Pl@ntNet observations",
 "License is CC-BY 4.0",
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is one of (Cupressus sempervirens, Prunus cerasus, Celtis australis, Prunus domestica, Malus sylvestris)"
 ]
}

 The dataset includes 10394 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001565-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.