cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9p84bw
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyperus zollingeri"
 ]
}

 The dataset includes 331 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045260-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xne3nh
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora suberosa",
 "Country is El Salvador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045261-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17083964
title: Digital terrain model (dtm) of the Rindbach channel area

description: Detailiertes digitales Geländemodell des Rindbach Gerinnebereiches (DGM: 0,25m)

Daten Details





Art der Daten: Geotiff, Rastergröße: 0,25 m, 75 links und rechts des Haupgerinnes




Wie die Daten gesammelt oder abgeleitet wurden: Die Daten basieren auf luftgestützte LiDAR Erhebungen. Rohdaten liegen bei der WLV- Sektion OÖ:





Schmidtorstraße 2/II,4020 LinzTel: 0732/771348-0E-Mail: sektion.oberoesterreich@die-wildbach.at






Koordinaten-Referenzsystem: EPSG:31255


Flugdatum: 2021


Detailed digital terrain model of the Rindbach channel area (dtm: 0.25 m)

Data details



Type of data: Geotiff, grid size: 0.25 m, 75 m to the left and right of the main channel

How the data was collected or derived: The data is based on airborne LiDAR surveys. Raw data is available from the WLV Upper Austria section:



Schmidtorstraße 2/II,4020 LinzTel: 0732/771348-0E-Mail: sektion.oberoesterreich@die-wildbach.at






Coordinate reference system: EPSG:31255

Date of flight: 2021
DOI: 10.5281/zenodo.17083965
title: Digital terrain model (dtm) of the Rindbach channel area

description: Detailiertes digitales Geländemodell des Rindbach Gerinnebereiches (DGM: 0,25m)

Daten Details





Art der Daten: Geotiff, Rastergröße: 0,25 m, 75 links und rechts des Haupgerinnes




Wie die Daten gesammelt oder abgeleitet wurden: Die Daten basieren auf luftgestützte LiDAR Erhebungen. Rohdaten liegen bei der WLV- Sektion OÖ:





Schmidtorstraße 2/II,4020 LinzTel: 0732/771348-0E-Mail: sektion.oberoesterreich@die-wildbach.at






Koordinaten-Referenzsystem: EPSG:31255


Flugdatum: 2021


Detailed digital terrain model of the Rindbach channel area (dtm: 0.25 m)

Data details



Type of data: Geotiff, grid size: 0.25 m, 75 m to the left and right of the main channel

How the data was collected or derived: The data is based on airborne LiDAR surveys. Raw data is available from the WLV Upper Austria section:



Schmidtorstraße 2/II,4020 LinzTel: 0732/771348-0E-Mail: sektion.oberoesterreich@die-wildbach.at






Coordinate reference system: EPSG:31255

Date of flight: 2021
DOI: 10.15151/esrf-es-2229221800
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: The outstanding research questions of our BAG (now expanded to 9 PIs) focus on proteins and their complexes involved in a variety of processes, ranging from cell homeostasis (from gene regulation to folding quality control, from energy metabolism to signal transduction) to communication and surface recognition (including trans-interactions between cell adhesion molecules, components of the extracellular matrix weaving, as well as antigen-antibody interactions for vaccine development and optimization). Key to several projects is the characterization of the mechanisms associated to enzyme function in various organisms, including bacteria, viruses, plants, animals and humans for downstream drug discovery campaigns. Emphasis is also given to research focusing on engineering protein and enzymes for future industrial applications, as well as to understand the impact of pathogenic mutations on protein structures, providing a genotype-to-molecular phenotype rationale to disease development.
DOI: 10.5281/zenodo.15362039
title: Survey instrument, codebook, and anonymized responses from the Korean medical student mental health study

description: This dataset supports the study “Mental health of medical students who took a leave of absence during the 2024 medical crisis in South Korea” It comprises:

 

1. CRF(Case Report Form)





Anonymized raw survey data (rows = individual participants; columns = variables)


code about variables in columns


        

2. Questionnaire





Part A: PHQ‑9 items




Part B: BEPSI‑K items




Part C: External stressors items



The original survey was administered in Korean. For clarity and readability, the version provided here has been translated into English.
DOI: 10.5281/zenodo.17079850
title: Survey instrument, codebook, and anonymized responses from the Korean medical student mental health study

description: This dataset supports the study “Mental health of medical students who took a leave of absence during the 2024 medical crisis in South Korea” It comprises:

 

1. CRF(Case Report Form)





Anonymized raw survey data (rows = individual participants; columns = variables)


code about variables in columns


        

2. Questionnaire





Part A: PHQ‑9 items




Part B: BEPSI‑K items




Part C: External stressors items



The original survey was administered in Korean. For clarity and readability, the version provided here has been translated into English.
DOI: 10.5258/soton/wp00832
title: Modelled gridded population estimates for Kasaï Province in the Democratic Republic of Congo version 4.3

description: This data release provides gridded population estimates (at a spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Kasaï Province in the Democratic Republic of Congo (DRC), including estimates for various age-sex groups. The project team utilized Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP), which were collected during anti-malarial campaigns across the DRC. Due to the absence of recent PDRS data for Kasaï, we used data from the neighboring province of Kwilu to train our model and made grid-level predictions for Kasaï, using geospatial covariates specific to Kasaï. The modelling was done using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2023. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Chris Nnanatu. Data processing was done by Ortis Yankey with additional support from Heather Chamberlain. Project oversight was done by Chris Nnanatu, Attila Lazar, and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns were collected, processed, anonymised, and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 6.0) (CIESIN, 2025).
DOI: 10.15468/dl.2kgbqr
title: Occurrence Download

description: A dataset listing the 76288 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "PublishingCountry is Australia"
 ]
}

 The dataset's 76288 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045243-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yk63uj
title: Occurrence Download

description: A dataset containing 157549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-3.6737 40.68531,-3.48889 40.68531,-3.48889 40.78138,-3.6737 40.78138,-3.6737 40.68531))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 157549 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045216-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4984b
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((121.77377 -0.67921,125.56956 -0.67921,125.56956 1.78072,121.77377 1.78072,121.77377 -0.67921))",
 "HasGeospatialIssue is false",
 "TaxonKey is Macrocephalon maleo"
 ]
}

 The dataset's 1 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045226-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ruw22n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora suberosa",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045262-250827131500795/datasets/export for details.
DOI: 10.15468/dl.2cu7rw
title: Occurrence Download

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

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045264-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8aefu
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scopolia japonica",
 "Year 1970-2020"
 ]
}

 The dataset includes 447 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045265-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/wp00818
title: Modelled gridded population estimates for Ituri Province in the Democratic Republic of Congo version 4.3

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Ituri Province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2023, settlement extents and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2023. This time period corresponds to the PDRS survey date for Ituri. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Chris Nnanatu. Data processing was done by Ortis Yankey with additional support from Heather Chamberlain. Project oversight was done by Attila Lazar, Chris Nnanatu and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns were collected, processed, anonymised and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 6.0) (CIESIN, 2025).
DOI: 10.15468/dl.stgk2y
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solandra grandiflora",
 "Year 1970-2020"
 ]
}

 The dataset includes 257 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045266-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa9x6q
title: Occurrence Download

description: A dataset containing 51006 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fish observation data from the national fish observation database"
 ]
}

 The dataset includes 51006 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045250-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2rz4r
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Paeonia japonica"
 ]
}

 The dataset includes 137 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045267-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17085118
title: Digital surface model (dsm) of the Rindbach channel area

description: Detailiertes digitales Oberflächenmodell des Rindbach Gerinnebereiches (DOM: 0,25m)

Daten Details





Art der Daten: Geotiff, Rastergröße: 0,25 m, 75 links und rechts des Haupgerinnes




Wie die Daten gesammelt oder abgeleitet wurden: Die Daten basieren auf luftgestützte LiDAR Erhebungen. Rohdaten liegen bei der WLV- Sektion OÖ:





Schmidtorstraße 2/II,4020 LinzTel: 0732/771348-0E-Mail: sektion.oberoesterreich@die-wildbach.at






Koordinaten-Referenzsystem: EPSG:31255


Flugdatum: 2021


Detailed digital surface model of the Rindbach channel area (dsm: 0.25 m)

Data details



Type of data: Geotiff, grid size: 0.25 m, 75 m to the left and right of the main channel

How the data was collected or derived: The data is based on airborne LiDAR surveys. Raw data is available from the WLV Upper Austria section:



Schmidtorstraße 2/II,4020 LinzTel: 0732/771348-0E-Mail: sektion.oberoesterreich@die-wildbach.at






Coordinate reference system: EPSG:31255

Date of flight: 2021
DOI: 10.5281/zenodo.17085119
title: Digital surface model (dsm) of the Rindbach channel area

description: Detailiertes digitales Oberflächenmodell des Rindbach Gerinnebereiches (DOM: 0,25m)

Daten Details





Art der Daten: Geotiff, Rastergröße: 0,25 m, 75 links und rechts des Haupgerinnes




Wie die Daten gesammelt oder abgeleitet wurden: Die Daten basieren auf luftgestützte LiDAR Erhebungen. Rohdaten liegen bei der WLV- Sektion OÖ:





Schmidtorstraße 2/II,4020 LinzTel: 0732/771348-0E-Mail: sektion.oberoesterreich@die-wildbach.at






Koordinaten-Referenzsystem: EPSG:31255


Flugdatum: 2021


Detailed digital surface model of the Rindbach channel area (dsm: 0.25 m)

Data details



Type of data: Geotiff, grid size: 0.25 m, 75 m to the left and right of the main channel

How the data was collected or derived: The data is based on airborne LiDAR surveys. Raw data is available from the WLV Upper Austria section:



Schmidtorstraße 2/II,4020 LinzTel: 0732/771348-0E-Mail: sektion.oberoesterreich@die-wildbach.at






Coordinate reference system: EPSG:31255

Date of flight: 2021
DOI: 10.15468/dl.mxnsp7
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "TaxonKey is Meleagris"
 ]
}

 The dataset's 1 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045252-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usd5pc
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alburnus scoranza)",
 "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 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045268-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dzvcg
title: Occurrence Download

description: A dataset containing 1106141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crataegus monogyna"
 ]
}

 The dataset includes 1106141 records from 4137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045173-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2747940/2343768
title: Data for EMSL Project 60209 from February 2023
DOI: 10.15468/dl.5fc6bw
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prionobutis microps (Weber, 1907)"
 ]
}

 The dataset includes 232 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061873-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8mq9t
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adesmia fuentesii G.F.Grandjot"
 ]
}

 The dataset includes 12 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001684-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2747981/2343769
title: Data for EMSL Project 60209 from February 2023
DOI: 10.25582/data.2023-02.2737879/2343770
title: Data for EMSL Project 60209 from February 2023
DOI: 10.15468/dl.pyjxby
title: Occurrence Download

description: A dataset containing 2238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Guizotia abyssinica (L.fil.) Cass.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 2238 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241751-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3y4k89
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Krameria parvifolia Benth."
 ]
}

 The dataset includes 289 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031866-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2747960/2343771
title: Data for EMSL Project 60209 from February 2023
DOI: 10.15468/dl.2epqvc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhizophagus nobilis Lewis, 1893",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0314964-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2747954/2343772
title: Data for EMSL Project 60209 from February 2023
DOI: 10.15468/dl.m7qejx
title: Occurrence Download

description: A dataset containing 2034 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum crocodes Dahlst."
 ]
}

 The dataset includes 2034 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006059-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2742114/2343773
title: Data for EMSL Project 60209 from February 2023