cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.88spmy
title: Occurrence Download

description: A dataset containing 2578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lachesiodendron viridiflorum",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2578 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004610-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18582525
title: Dataset de evaluación de la sensación de presencia en un recorrido virtual inmersivo de la FEIRNNR (IPQ)

description: Este conjunto de datos contiene las respuestas recopiladas mediante un cuestionario de evaluación de la sensación de presencia aplicado a usuarios de un recorrido virtual inmersivo de los exteriores de la Facultad de la Energía, las Industrias y los Recursos Naturales No Renovables (FEIRNNR) de la Universidad Nacional de Loja.

El instrumento de evaluación se basó en el Igroup Presence Questionnaire (IPQ), utilizado para medir la percepción subjetiva de presencia en entornos de realidad virtual. El cuestionario incluye ítems estructurados orientados a evaluar dimensiones como presencia espacial, implicación y realismo percibido, empleando una escala de respuesta tipo Likert.

La aplicación del cuestionario se realizó después de la experiencia de navegación en el entorno virtual, con el objetivo de obtener datos cuantitativos sobre la experiencia de los usuarios. El conjunto de datos se utiliza como soporte empírico para el análisis de la sensación de presencia en un recorrido virtual fotorrealista e inmersivo desarrollado mediante fotogrametría híbrida.

Los datos se proporcionan con fines académicos y de investigación, y pueden ser utilizados para estudios relacionados con realidad virtual, experiencia de usuario y evaluación de presencia en entornos virtuales.
DOI: 10.5281/zenodo.18582524
title: Dataset de evaluación de la sensación de presencia en un recorrido virtual inmersivo de la FEIRNNR (IPQ)

description: Este conjunto de datos contiene las respuestas recopiladas mediante un cuestionario de evaluación de la sensación de presencia aplicado a usuarios de un recorrido virtual inmersivo de los exteriores de la Facultad de la Energía, las Industrias y los Recursos Naturales No Renovables (FEIRNNR) de la Universidad Nacional de Loja.

El instrumento de evaluación se basó en el Igroup Presence Questionnaire (IPQ), utilizado para medir la percepción subjetiva de presencia en entornos de realidad virtual. El cuestionario incluye ítems estructurados orientados a evaluar dimensiones como presencia espacial, implicación y realismo percibido, empleando una escala de respuesta tipo Likert.

La aplicación del cuestionario se realizó después de la experiencia de navegación en el entorno virtual, con el objetivo de obtener datos cuantitativos sobre la experiencia de los usuarios. El conjunto de datos se utiliza como soporte empírico para el análisis de la sensación de presencia en un recorrido virtual fotorrealista e inmersivo desarrollado mediante fotogrametría híbrida.

Los datos se proporcionan con fines académicos y de investigación, y pueden ser utilizados para estudios relacionados con realidad virtual, experiencia de usuario y evaluación de presencia en entornos virtuales.
DOI: 10.21335/nmdc-1082073324
title: Physical and biogeochemical data collected by CTD in Masfjorden in Vestland, Norway during cruise HB2025009149 in September, 2025.

description: The files contain temperature, practical salinity, oxygen, and depth measurements binned into 1 db pressure bins, collected using a CTD from RBR during cruise HB2024009149 in December 202t. Data were collected in Masfjorden in Vestland, Norway. Water sample data (Oxygen, and salt) collected during the cruise are included. The cruise was organized by the Geophysical Institute, University of Bergen as a part of the project FJO2RD. Data can be downloaded as one .nc file or three .txt file, where data in the .txt-files are separated into downcast (HB2025009149_CTD.txt) and bottle (HB2025009149_BTL.txt) data and where meta-data are provided in HB2025009149_meta_data.txt.
DOI: 10.6084/m9.figshare.31303711
title: EGC (Ehrlund galactic catalog) Created by Elijah F. Ehrlund

description: EGC catalog, created by 16 year old Elijah F, Ehrlund (me) aims to identity and give light in many undocumented Galaxy , AGN candidates, galaxy clusters, ect.
DOI: 10.6084/m9.figshare.31303711.v1
title: EGC (Ehrlund galactic catalog) Created by Elijah F. Ehrlund

description: EGC catalog, created by 16 year old Elijah F, Ehrlund (me) aims to identity and give light in many undocumented Galaxy , AGN candidates, galaxy clusters, ect.
DOI: 10.15468/dl.6t7yyn
title: Occurrence Download

description: A dataset containing 1077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-118.63237 32.21617,-119.73776 25.48766,-110.02457 17.57008,-90.68497 11.40405,-85.09549 22.50423,-94.03866 26.47075,-102.08751 31.16989,-109.24204 32.96964,-113.26647 33.99524,-118.63237 32.21617))",
 "HasGeospatialIssue is false",
 "TaxonKey is Storeria storerioides"
 ]
}

 The dataset includes 1077 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004611-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvax3j
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zingiber cylindricum",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004612-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvzs6q
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyphessobrycon delimai",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004613-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q68953
title: Occurrence Download

description: A dataset containing 1380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Libidibia punctata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1380 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004614-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6j97s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polyspora elliptica",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004615-260208012135463/datasets/export for details.
DOI: 10.15468/dl.3wzdah
title: Occurrence Download

description: A dataset containing 1760 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude 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 "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 56.135291543055025
 AND decimallatitude &lt;= 61.2993700571118
 AND decimallongitude &gt;= -71.19381906424559
 AND decimallongitude &lt;= -57.564081506819555
 AND GBIF_Within('POLYGON ((-57.564082 56.135292, -57.564082 61.299370, -71.193819 61.299370, -71.193819 56.135292, -57.564082 56.135292))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 1760 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004599-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ve8wt
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyphessobrycon diastatos",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004616-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82136/dataset/08de6864-1387-4e1e-8a67-3b9b36adda5b
title: RAISE SUS responses dataset 20260123 n30 anonym csv

description: SUS is a widely adopted and validated questionnaire that has been extensively applied to evaluate the usability of both software and hardware systems, providing a reliable measure of overall user experience. In our case, SUS was used to assess the perceived usability of the RAISE portal.
The SUS questionnaire was administered after participants had sufficient opportunity to interact with and use the RAISE portal, and prior to any debriefing or discussion, to capture their immediate impressions.
Data were collected via an anonymous online questionnaire. The questionnaire consisted of the 10-item SUS questionnaire with 5 response options (1 = Strongly Disagree to 5 = Strongly Agree). 
As the main objective was to assess the usability of RAISE, only the participants who participated in the RAISE piloting activities (3.RAI Pilots Implementation) or the UX activities were invited to fill in the questionnaire. A total of 30 responses were collected and included in this dataset
DOI: 10.15468/dl.nxjf8j
title: Occurrence Download

description: A dataset containing 2948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neltuma juliflora",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2948 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004617-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.23129.17768
title: motordata dtc2 for Vector Control as Data Compressor submitted to IEEE-TIE
DOI: 10.15468/dl.c4b7ny
title: Occurrence Download

description: A dataset containing 1472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rauvolfia verticillata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1472 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004618-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31303726
title: Interactive visualization of ocean flow and thermohaline field based on collaborative transfer function

description: The interactions between scalar and vector properties is vital in oceanic phenomena and energy/material circulation processes. This study integrates scalar and vector fields in ocean visualization to clarify their interplay and proposes a standardized approach for designing transfer functions that simplify ocean feature extraction. An interactive collaborative transfer function operational mode was introduced to visualise the scalar and vector fields, effectively capturing the dynamic characteristics of oceanic phenomena under mutual influence. Using the high-resolution GLORYS12V1 marine dataset, we visualized thermohaline fields and currents. Results show that the collaborative visualisation method and standardized transfer function effectively extract morphological outlines of ocean fronts and mesoscale eddies. Furthermore, the real-time collaborative transfer function reveals high spatial and directional consistency between ocean fronts (extracted via a 0.05 °C/km temperature gradient threshold) and Kuroshio axes (identified using a 0.1 m/s flow velocity threshold), which highlights the barrier effect of ocean fronts on meridional heat exchange. Additionally, we revealed the dynamic entrainment and transport capability of energy and material in mesoscale eddies. The above results demonstrate that the proposed synergistic transfer function in this study can effectively uncover the key role of scalar-vector field interactions in the evolution of oceanic phenomena. A standardized form of transfer function is introduced for extracting ocean phenomena.A collaborative interaction is proposed for present synchronized changes in scalar-vector fields.A dynamic visualization of ocean fronts and mesoscale eddies is demonstrated based on ocean temperature-salinity and velocity fields. A standardized form of transfer function is introduced for extracting ocean phenomena. A collaborative interaction is proposed for present synchronized changes in scalar-vector fields. A dynamic visualization of ocean fronts and mesoscale eddies is demonstrated based on ocean temperature-salinity and velocity fields.
DOI: 10.6084/m9.figshare.31303726.v1
title: Interactive visualization of ocean flow and thermohaline field based on collaborative transfer function

description: The interactions between scalar and vector properties is vital in oceanic phenomena and energy/material circulation processes. This study integrates scalar and vector fields in ocean visualization to clarify their interplay and proposes a standardized approach for designing transfer functions that simplify ocean feature extraction. An interactive collaborative transfer function operational mode was introduced to visualise the scalar and vector fields, effectively capturing the dynamic characteristics of oceanic phenomena under mutual influence. Using the high-resolution GLORYS12V1 marine dataset, we visualized thermohaline fields and currents. Results show that the collaborative visualisation method and standardized transfer function effectively extract morphological outlines of ocean fronts and mesoscale eddies. Furthermore, the real-time collaborative transfer function reveals high spatial and directional consistency between ocean fronts (extracted via a 0.05 °C/km temperature gradient threshold) and Kuroshio axes (identified using a 0.1 m/s flow velocity threshold), which highlights the barrier effect of ocean fronts on meridional heat exchange. Additionally, we revealed the dynamic entrainment and transport capability of energy and material in mesoscale eddies. The above results demonstrate that the proposed synergistic transfer function in this study can effectively uncover the key role of scalar-vector field interactions in the evolution of oceanic phenomena. A standardized form of transfer function is introduced for extracting ocean phenomena.A collaborative interaction is proposed for present synchronized changes in scalar-vector fields.A dynamic visualization of ocean fronts and mesoscale eddies is demonstrated based on ocean temperature-salinity and velocity fields. A standardized form of transfer function is introduced for extracting ocean phenomena. A collaborative interaction is proposed for present synchronized changes in scalar-vector fields. A dynamic visualization of ocean fronts and mesoscale eddies is demonstrated based on ocean temperature-salinity and velocity fields.
DOI: 10.5281/zenodo.18582577
title: GHCNdgp

description: GHCNdgp is a daily gridded precipitation dataset  for the period from 2020 to 2025 based on the station-based Global Historical Climatology Network (GHCN). Two daily datasets, i.e., the GHCN daily (GHCNd) and Global Surface Summary of the Day (GSOD), and three subdaily datasets, i.e., GHCN hourly (GHCNh), Integrated Surface Database (ISD) and Integrated Global Land surface Dataset (IGLD), are used to provide precipitation observations. Through multi-stage quality control checks including the reporting time match, observations of 58,796 stations are integrated to form the GHCNdgp dataset.

To align with current AI weather forecasts, the precipitation observations are aggregated into gridded format with the spatial resolution of 0.25°×0.25°. The gridded precipitation is calculated by averaging the daily observations of all stations within each grid cell at the corresponding time. The dataset is provided in the Network Common Data Form (NetCDF) by years. The primary data variables include the daily precipitation (PRCP), its standard deviation (PRCP_std) and the number of stations per grid cell (Station_num). After decompression, it will occupy approximately 35GB of storage.
DOI: 10.5281/zenodo.18582576
title: GHCNdgp

description: GHCNdgp is a daily gridded precipitation dataset  for the period from 2020 to 2025 based on the station-based Global Historical Climatology Network (GHCN). Two daily datasets, i.e., the GHCN daily (GHCNd) and Global Surface Summary of the Day (GSOD), and three subdaily datasets, i.e., GHCN hourly (GHCNh), Integrated Surface Database (ISD) and Integrated Global Land surface Dataset (IGLD), are used to provide precipitation observations. Through multi-stage quality control checks including the reporting time match, observations of 58,796 stations are integrated to form the GHCNdgp dataset.

To align with current AI weather forecasts, the precipitation observations are aggregated into gridded format with the spatial resolution of 0.25°×0.25°. The gridded precipitation is calculated by averaging the daily observations of all stations within each grid cell at the corresponding time. The dataset is provided in the Network Common Data Form (NetCDF) by years. The primary data variables include the daily precipitation (PRCP), its standard deviation (PRCP_std) and the number of stations per grid cell (Station_num). After decompression, it will occupy approximately 35GB of storage.
DOI: 10.15468/dl.h8u8yb
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyphessobrycon dorsalis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 155 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004620-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zdhk4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gymnosphaera andersonii"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004621-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6v8a52
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plectrocarpa arborea",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004622-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4p82u
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyphessobrycon eilyos",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 12 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004623-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6kfax
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sarcandra glabra brachystachys",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 350 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004624-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31288324
title: Table 4: Energy vs Latency Trade-off

description: Low-Latency Digital Health Framework for Rural Areas Leveraging Fog Computing and 5G
DOI: 10.6084/m9.figshare.31288324.v2
title: Table 4: Energy vs Latency Trade-off

description: Low-Latency Digital Health Framework for Rural Areas Leveraging Fog Computing and 5G
DOI: 10.6084/m9.figshare.31288324.v1
title: Table 4: Throughput Metrics

description: Low-Latency Digital Health Framework for Rural Areas Leveraging Fog Computing and 5G
DOI: 10.6069/emb8-2f47
title: A disintegrin-like and metalloproteinase domain with thrombospondin motif 18 (ADAMTS18) cleaves fibronectin and regulates its fibrillogenesis

description: Remodelling of the extracellular matrix (ECM) plays a crucial role in the development, maintenance and repair of all tissues. Therefore, identifying the regulators of this process is essential for understanding the mechanisms of tissue homeostasis. Among these regulators, A disintegrin and metalloproteinase with a thrombospondin motif 18 (ADAMTS18) has been implicated in fibronectin (FN) matrix regulation. However, how ADAMTS18 influences endothelial specific functions and its role in ECM maturation, particularly in the regulation of FN fibrillogenesis, remains unclear. In this study, using mass spectrometry, we identified two sites in FN that are proteolytically cleaved by ADAMTS18, including a cleavage site in the linker FN-I5-6. Cleavage at this site generated FN molecules lacking the N-terminal FN-I1-5 (29kDa) fragment that is known to be essential for FN fibrillogenesis.
DOI: 10.5517/ccdc.csd.cc1zdlvt
title: CCDC 1829367: Experimental Crystal Structure Determination

description: Related Article: Kuiyuan Wang, Timothy J. Prior, Carl Redshaw|2019|Chem.Commun.|55|11279|doi:10.1039/C9CC04494A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.