cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10714289
title: Battery sizing capacity, Carbon emission and NPV data

description: The dataset contains: The simulation environment and results of the building energy model, including meteorological data, battery capacity sizing data, and battery degradation data. The data set also includes calculations and results based on the net present value and carbon intensity of the systems described above.
DOI: 10.5281/zenodo.14037792
title: Battery sizing capacity, Carbon emission and NPV data

description: The dataset contains: The simulation environment and results of the building energy model, including meteorological data, battery capacity sizing data, and battery degradation data. The data set also includes calculations and results based on the net present value and carbon intensity of the systems described above.
DOI: 10.5281/zenodo.13293594
title: ASM-SS: The First Quasi-Global High Spatial Resolution Coastal Storm Surge Dataset Reconstructed from Tide Gauge Records

description: The ASM-SS dataset is a high spatial resolution (every 10 km per node along the coastline), long-term (over 80 years from 1940 to 2020), quasi-global (within 45°S-45°N), hourly data-driven storm surge dataset. Each NetCDF file includes five parameters: longitude, latitude, nodes, time, and surge level. Longitude and latitude are the location information of nodes in degree; the unit of time is accumulated hours since 1900-01-01 00:00:00; surge levels are given in meters. Users can use longitude, latitude, and time as keywords to select surge levels at nodes of interest within a target period.
DOI: 10.5281/zenodo.13293595
title: ASM-SS: The First Quasi-Global High Spatial Resolution Coastal Storm Surge Dataset Reconstructed from Tide Gauge Records

description: The ASM-SS dataset is a high spatial resolution (every 10 km per station along the coastline), long-term (over 80 years from 1940 to 2020), quasi-global (within 45°S-45°N), hourly data-driven storm surge dataset. Each NetCDF file includes five parameters: longitude, latitude, stations, time, and surge.
DOI: 10.5281/zenodo.14034726
title: ASM-SS: The First Quasi-Global High Spatial Resolution Coastal Storm Surge Dataset Reconstructed from Tide Gauge Records

description: The ASM-SS dataset is a high spatial resolution (every 10 km per node along the coastline), long-term (over 80 years from 1940 to 2020), quasi-global (within 45°S-45°N), hourly data-driven storm surge dataset. Each NetCDF file includes five parameters: longitude, latitude, nodes, time, and surge level. Longitude and latitude are the location information of nodes in degree; the unit of time is accumulated hours since 1900-01-01 00:00:00; surge levels are given in meters. Users can use longitude, latitude, and time as keywords to select surge levels at nodes of interest within a target period.
DOI: 10.15468/dl.6y3jse
title: Occurrence Download

description: A dataset containing 14566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768"
 ]
}

 The dataset includes 14566 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022000-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14035064
title: Official Code and Dataset of Table Tennis Coaching System Based on a Multimodal Large Language Model with  Knowledge Base

description: Official Code and Dataset of Table Tennis Coaching System Based on a Multimodal Large Language Model with  Knowledge Base
DOI: 10.5281/zenodo.14035065
title: Official Code and Dataset of Table Tennis Coaching System Based on a Multimodal Large Language Model with  Knowledge Base

description: Official Code and Dataset of Table Tennis Coaching System Based on a Multimodal Large Language Model with  Knowledge Base
DOI: 10.15468/dd.nbrhh9
title: Limestone ferns: a review of the substrate characteristics and species diversity in selected geographic regions and genera

description: Records used in [paper](https://doi.org/10.1080/0028825X.2024.2393294)
DOI: 10.21334/npolar.2025.df92336b
title: Snow depth and sea ice thickness from ground transects from Micro-SHIFT cruise, North of Svalbard, May 2025
DOI: 10.15468/dl.mp4d8w
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011632-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.30196978
title: Perry_Steel_HealthAnxiety_Smartwatch

description: This study investigates the relationship between gender, smartwatch use, diagnosed health conditions, and health anxiety. Previous research has shown health anxiety is more common among woman and those with chronic conditions, but little is known about how these factors interact with the use of wearable health technology. This study employed a quasi-experimental cross-sectional design with 252 participants, controlling for age and trait anxiety levels. The study found that men who have a diagnosed health condition and use a smartwatch experience significantly higher levels of health anxiety. In contrast, woman who have a diagnosed health condition and use a smartwatch report lower health anxiety. This suggests that smartwatches may contribute to increased anxiety in men and may provide reassurance for women. These findings underscore the need for personalised approaches to wearable health technology that consider gender differences and the potential psychological impacts on users. Future research should explore how wearables impact health anxiety across other populations and examine whether different types of smartwatches have distinct effects on health anxiety.
DOI: 10.6084/m9.figshare.30196978.v1
title: Perry_Steel_HealthAnxiety_Smartwatch

description: This study investigates the relationship between gender, smartwatch use, diagnosed health conditions, and health anxiety. Previous research has shown health anxiety is more common among woman and those with chronic conditions, but little is known about how these factors interact with the use of wearable health technology. This study employed a quasi-experimental cross-sectional design with 252 participants, controlling for age and trait anxiety levels. The study found that men who have a diagnosed health condition and use a smartwatch experience significantly higher levels of health anxiety. In contrast, woman who have a diagnosed health condition and use a smartwatch report lower health anxiety. This suggests that smartwatches may contribute to increased anxiety in men and may provide reassurance for women. These findings underscore the need for personalised approaches to wearable health technology that consider gender differences and the potential psychological impacts on users. Future research should explore how wearables impact health anxiety across other populations and examine whether different types of smartwatches have distinct effects on health anxiety.
DOI: 10.15468/dl.79umad
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sesbania cannabina",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011633-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.at9knz
title: Occurrence Download

description: A dataset containing 514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triphasia trifolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 514 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011635-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8an65u
title: Occurrence Download

description: A dataset containing 2835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.44745 54.78519,34.55255 54.78519,34.55255 67.21481,3.44745 67.21481,3.44745 54.78519))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fucus radicans",
 "Year 1895-2025"
 ]
}

 The dataset includes 2835 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011636-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.um2rzf
title: Occurrence Download

description: A dataset containing 319 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Alocasia longiloba)"
 ]
}

 The dataset includes 319 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011637-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44ry6w
title: Occurrence Download

description: A dataset containing 55894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.05455 37.23843,-6.53133 36.75438,-6.15152 36.05847,-5.5616 35.95388,-5.14138 36.1303,-4.98784 36.38444,-4.7939 36.44297,-4.94744 37.13543,-5.602 37.2513,-6.05455 37.23843))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 55894 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011600-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17190311
title: DS.ToFInitialCharacterization_InChToF.1.0

description: The point clouds have been collected with VL53L5CX sensors rigidly mounted on a robotic arm moving into known positions with respect to a whiteboard occupying a fixed known position. The robot arm was controlled to get proximity measurements when varying the range distance and orientation with respect to the board. The point clouds were obtained with 3 different sensors, and measurements are expressed with respect to a reference frame attached to the base of the robot arm. This dataset has been collected as part of Horizon Europe Project Sestosenso granted from the European Commission’s HORIZON EUROPE Research and Innovation Actions under GA number 101070310, and is part of task T4.3 related to WP4.
DOI: 10.5281/zenodo.17190312
title: DS.ToFInitialCharacterization_InChToF.1.0

description: The point clouds have been collected with VL53L5CX sensors rigidly mounted on a robotic arm moving into known positions with respect to a whiteboard occupying a fixed known position. The robot arm was controlled to get proximity measurements when varying the range distance and orientation with respect to the board. The point clouds were obtained with 3 different sensors, and measurements are expressed with respect to a reference frame attached to the base of the robot arm. This dataset has been collected as part of Horizon Europe Project Sestosenso granted from the European Commission’s HORIZON EUROPE Research and Innovation Actions under GA number 101070310, and is part of task T4.3 related to WP4.
DOI: 10.5281/zenodo.17191726
title: Passport data of V. ervilia accessions

description: Passport data of V. ervilia accessions (Table S3a:) asociated to publication https://www.mdpi.com/2073-4395/14/2/326
DOI: 10.5281/zenodo.17191727
title: Passport data of V. ervilia accessions

description: Passport data of V. ervilia accessions (Table S3a:) asociated to publication https://www.mdpi.com/2073-4395/14/2/326
DOI: 10.5285/3d974cbe-743d-41da-a2e1-f28753f13d1e
title: Land Cover Map 1990 (25m raster, GB)

description: This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - percentage of the polygon covered by the majority class. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. The 25m raster is the most detailed of the LCM1990 raster products both thematically and spatially, and it is used to derive the 1km products. 

LCM1990 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  

LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.

description: The 25m raster product is the most detailed of the LCM1990 raster products, both thematically and spatially, and it is derived from the LCM1990 vector product. For LCM1990 per-pixel classifications were conducted, using a random forest classification algorithm. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per-polygon for the 21 target classes; Band2 - mean per polygon probability as reported by the Random Forest classifier; Band 3 -percentage of polygon covered by the majority class
DOI: 10.15468/dl.57kfxf
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium alpestre",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011647-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2ra5m
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Darlingia darlingiana",
 "Year 1970-2020"
 ]
}

 The dataset includes 186 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011640-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hg6phj
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Datura ceratocaula",
 "Year 1970-2020"
 ]
}

 The dataset includes 190 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011641-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3s4s4
title: Occurrence Download

description: A dataset containing 26898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Alopochen aegyptiaca"
 ]
}

 The dataset includes 26898 records from 409 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011591-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17191723
title: Integrating Augmented Reality (AR) into Health Media Campaigns: Towards a More Behavioral Impact Economic Evaluation
DOI: 10.5281/zenodo.17191724
title: Integrating Augmented Reality (AR) into Health Media Campaigns: Towards a More Behavioral Impact Economic Evaluation
DOI: 10.5281/zenodo.16963000
title: lyDATA: 2025 UKF Hypopharynx

description: Data about clinically diagnosed lymphatic patterns in 54 patients treated at the University of Freiburg between 2011 and 2019.
DOI: 10.5281/zenodo.16963001
title: lyDATA: 2025 UKF Hypopharynx

description: Data about clinically diagnosed lymphatic patterns in 54 patients treated at the University of Freiburg between 2011 and 2019.
DOI: 10.15468/dl.r3uz5z
title: Occurrence Download

description: A dataset containing 55114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.50643 37.34864,-6.50942 36.7562,-5.93911 35.95141,-4.89312 36.0675,-4.62907 36.82033,-5.50643 37.34864))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 55114 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011615-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjuswc
title: Occurrence Download

description: A dataset containing 8381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triplaris americana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8381 records from 260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011648-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17191744
title: Agronomic data of V. ervilia accessions

description: Agronomic data of V. ervilia accessions Table S2b: asociated to publication https://www.mdpi.com/2073-4395/14/2/326
DOI: 10.5281/zenodo.17191745
title: Agronomic data of V. ervilia accessions

description: Agronomic data of V. ervilia accessions Table S2b: asociated to publication https://www.mdpi.com/2073-4395/14/2/326
DOI: 10.15468/dl.aa9g3g
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Alocasia sanderiana)"
 ]
}

 The dataset includes 23 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011649-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3xrbg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium constantinopolitanum",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011651-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cf9ftx
title: Occurrence Download

description: A dataset containing 5591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela putorius",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Material sample)"
 ]
 }
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 5591 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011650-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17191638
title: lyDATA: 2021 USZ Oropharynx

description: Dataset:


We provide a dataset on lymph node level (LNL) involvement in 287 patients with newly diagnosed oropharyngeal squamous cell carcinoma (OPSCC). For each patient, ipsilateral and contralateral LNL involvement for levels I to VII is reported together with clinicopathological factors including TNM-stage, primary tumor subsite, tumor lateralization, HPV status, sex, age, smoking status, and primary treatment. LNL involvement was assessed individually based on available diagnostic modalities (PET, MRI, CT, fine needle aspiration) by reviewing pathology and radiology reports together with the radiological images. The data is shared as a CSV-table with rows of patients and columns of patient/tumor-specific information and the involvement of individual LNL based on the respective diagnostic modalities.


Reuse potential:


Patterns of lymphatic progression have never been reported on a patient-individual basis in as much detail as provided in this dataset. The data can be used to build quantitative models for lymphatic tumor progression to estimate the probability of occult metastases in LNLs. This may in turn allow for further personalization of the elective clinical target volume definition in radiotherapy and the extent of neck dissection for surgically treated patients. The data can be pooled with other data to build large multi-institutional datasets on lymphatic metastatic progression in the future.
description: This work was supported by the clinical research priority program (CRPP) "Artificial intelligence in oncological imaging" at the University of Zurich.