cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16734445
title: New Zealand 8m Nationwide Hydrologically Conditioned DEM and Hydraulic Roughness Map

description: This is an 8m hydraulically conditioned DEM and hydraulic roughness dataset covering the three main islands of New Zealand (North, South and Rakiura Islands) to a minimum distance of 20km offshore. The dataset is separated into 526 30km by 30km tiles included in geofabrics-tiles-2025-04-07-8m.tar. Each tile is stored as netCDF file containing four layers: hydrologically conditioned DEM, hydraulic roughness, data source and LiDAR source. The data source and LiDAR source layers provide pixel-wise metadata about the processes and data contributing to each pixel. The location of these tiles is defined in the tile.gpkg file.  

The dataset was developed for freshwater flood modelling. Land elevations are primarily derived from LiDAR surveys, and offshore elevations from a curated elevation dataset developed for tidal modelling, integrated on an unstructured mesh with spatial resolution down to 5 m in estuaries to 15 km offshore. Hydrological conditioning was achieved using the GeoFabrics software package (Pearson, R et al, 2023). This included the direct inclusion of measured bed elevations for 97 estuaries and rivers, and 57 lakes; and the estimation and inclusion of bed elevations for a further 98 rivers and river mouths. Additionally, all culverts and waterways (as defined on Open Street Map) were daylighted (obstructions removed and opened to the sky). Finally, the crest elevation of 5368 stop banks were preserved.

This data has been prepared by the Earth Sciences New Zealand (ESNZ) for its own internal purposes. The information contained in this data is derived from multiple data sources, including 3rd party data sources. As there is always uncertainty associated with such data, ESNZ gives no warranties of any kind concerning its assessment and estimates, including accuracy, completeness, timelines or fitness for purpose and accepts no responsibility for any actions taken based on, or reliance placed on them by any person or organisation. ESNZ excludes to the full extent permitted by law any liability to any person or organisation for any loss, damage or expense, direct or indirect, and however caused, whether through negligence  or otherwise, resulting from any person or organisations use of, or reliance on the information contained in this data.

Pearson, R et al., 2023, Geofabrics 1.0.0: An Open-Source Python Package for Automatic Hydrological Conditioning of Digital Elevation Models for Flood Modelling. Environmental Modelling and Software. http://dx.doi.org/10.2139/ssrn.4463610
DOI: 10.5281/zenodo.16734446
title: New Zealand 8m Nationwide Hydrologically Conditioned DEM and Hydraulic Roughness Map

description: This is an 8m hydraulically conditioned DEM and hydraulic roughness dataset covering the three main islands of New Zealand (North, South and Rakiura Islands) to a minimum distance of 20km offshore. The dataset is separated into 526 30km by 30km tiles included in geofabrics-tiles-2025-04-07-8m.tar. Each tile is stored as netCDF file containing four layers: hydrologically conditioned DEM, hydraulic roughness, data source and LiDAR source. The data source and LiDAR source layers provide pixel-wise metadata about the processes and data contributing to each pixel. The location of these tiles is defined in the tile.gpkg file.  

The dataset was developed for freshwater flood modelling. Land elevations are primarily derived from LiDAR surveys, and offshore elevations from a curated elevation dataset developed for tidal modelling, integrated on an unstructured mesh with spatial resolution down to 5 m in estuaries to 15 km offshore. Hydrological conditioning was achieved using the GeoFabrics software package (Pearson, R et al, 2023). This included the direct inclusion of measured bed elevations for 97 estuaries and rivers, and 57 lakes; and the estimation and inclusion of bed elevations for a further 98 rivers and river mouths. Additionally, all culverts and waterways (as defined on Open Street Map) were daylighted (obstructions removed and opened to the sky). Finally, the crest elevation of 5368 stop banks were preserved.

This data has been prepared by the Earth Sciences New Zealand (ESNZ) for its own internal purposes. The information contained in this data is derived from multiple data sources, including 3rd party data sources. As there is always uncertainty associated with such data, ESNZ gives no warranties of any kind concerning its assessment and estimates, including accuracy, completeness, timelines or fitness for purpose and accepts no responsibility for any actions taken based on, or reliance placed on them by any person or organisation. ESNZ excludes to the full extent permitted by law any liability to any person or organisation for any loss, damage or expense, direct or indirect, and however caused, whether through negligence  or otherwise, resulting from any person or organisations use of, or reliance on the information contained in this data.

Pearson, R et al., 2023, Geofabrics 1.0.0: An Open-Source Python Package for Automatic Hydrological Conditioning of Digital Elevation Models for Flood Modelling. Environmental Modelling and Software. http://dx.doi.org/10.2139/ssrn.4463610
DOI: 10.5281/zenodo.16923546
title: POEMAS December 2020 10ms

description: Data from the POEMAS instrument for December 2020, with a temporal resolution of 10ms. This record contains daily data files in one or more formats (e.g., ZIP, FITS, CSV).
DOI: 10.25345/c5f766m0s
title: MassIVE MSV000098908 - Comprehensive LC-OrbitrapMS dataset of Schisandra chinensis lignans for metabolomics
title: This dataset contains LC-OrbitrapMS data of standard lignan compounds from the fruit of Schisandra chinensis. All standard compounds were purchased from ChemFaces (Wuhan, China) to ensure chemical purity and reproducibility. Both positive and negative ionization modes were acquired. Chromatographic separation was performed on a C18 column using a gradient elution of 0.1% formic acid in distilled water (A) and acetonitrile (B), with a linear gradient from 97% A to 100% B over 24 minutes. The total run time was 27 minutes, including washing and column re-equilibration.
DOI: 10.15468/dl.c7rr7n
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030296-250811113504898/datasets/export for details.
DOI: 10.15468/dl.857wxh
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030299-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44kkce
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phenacostethus smithi)",
 "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 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030300-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtykjp
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030298-250811113504898/datasets/export for details.
DOI: 10.15468/dl.crnmy2
title: Occurrence Download

description: A dataset containing 39813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is NLD.9.4_1",
 "TaxonKey is Passeriformes",
 "Year 2002-2024"
 ]
}

 The dataset includes 39813 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030297-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jucu4h
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030302-250811113504898/datasets/export for details.
DOI: 10.15468/dl.3z5eg7
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paratrechina longicornis",
 "Country is Trinidad and Tobago",
 "HasCoordinate is true"
 ]
}

 The dataset includes 189 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030301-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jg7p5e
title: Occurrence Download

description: A dataset listing the 204 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-125.068359 48.57479, -137.460938 48.57479, -136.669922 40.111689, -133.417969 31.278551, -126.035156 21.453069, -117.246094 15.623037, -105.820313 23.563987, -125.068359 48.57479))",
 "TaxonKey is one of (Cetacea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 204 records were derived from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030285-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvyc64
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marenzelleria viridis",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030304-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwz2nj
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030305-250811113504898/datasets/export for details.
DOI: 10.15468/dl.4c9g6z
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030306-250811113504898/datasets/export for details.
DOI: 10.5519/qd.m4o7bhiu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.29964068
title: XGal of Neocarzinostatin-treated Primary Mus Fibroblasts

description: Light Micrographs of XGal of primary fibroblasts of all genotypes tested in paper.Taken at 20X or 40X magnification in brightfield microscope after staining with XGal. After XGal staining was scored by hand, data recorded in GitHub files in Figure 1.
DOI: 10.6084/m9.figshare.29964068.v1
title: XGal of Neocarzinostatin-treated Primary Mus Fibroblasts

description: Light Micrographs of XGal of primary fibroblasts of all genotypes tested in paper.Taken at 20X or 40X magnification in brightfield microscope after staining with XGal. After XGal staining was scored by hand, data recorded in GitHub files in Figure 1.
DOI: 10.7910/dvn/llr3rr
title: BD-Sat: High-resolution Land Use Land Cover Dataset for Developing Division of Dhaka, Bangladesh
title: High-resolution Land Use Land Cover Dataset for Developing Division of Dhaka, Bangladesh

description: BD-Sat provides a high-resolution dataset that includes pixel-by-pixel LULC annotations for Dhaka metropolitan city and the rural/urban area surrounding it. With the strict and standard procedure, the ground truth is made using Bing-satellite imagery at a ground spatial distance of 2.22 meters/pixel. Three stages well-defined annotation process has been followed with the support from geographic information system (GIS) experts to ensure the reliability of the annotations. We perform several experiments to establish the benchmark results. Results show that the annotated BD-Sat is sufficient to train large deep-learning models with adequate accuracy with five major LULC classes: forest, farmland, built-up, water, and meadow.
description: Variable Description:

Band 1: Red
Band 2: Green
Band 3: Blue

Statistical Summary:

Mean (Red): 87.016
Mean (Green): 89.631
Mean (Blue): 63.563

Standard Deviation (R): 37.519
Standard Deviation (G): 30.924
Standard Deviation (B): 27.579
description: Geographic Coverage:
Country: Bangladesh
City: Dhaka
West Longitude: 90.1777
East Longitude: 90.4674
North Latitude: 24.3825
South Latitude: 23.3819

Data Format:
GeoTIFF (.tif)

File Information:
Filename: dhaka_input.tif
Size: 13500 x 51000 pixels
Bands: 3 (RGB)
Projection: EPSG:3857 (WGS 84 / Pseudo-Mercator)
Pixel Size: 2.388657 m
Upper Left: (90°10'39.80"E, 24°22'57.02"N)
Lower Right: (90°28'2.65"E, 23°22'54.77"N)
DOI: 10.15468/dl.37tt33
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neoheterandria cana)",
 "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 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030307-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85aevz
title: Occurrence Download

description: A dataset containing 469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi"
 ]
}

 The dataset includes 469 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030308-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16923553
title: POEMAS December 2020 10ms

description: Data from the POEMAS instrument for December 2020, with a temporal resolution of 10ms. This record contains daily data files in one or more formats (e.g., ZIP, FITS, CSV).
DOI: 10.15468/dl.294z3s
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paratrechina longicornis",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030309-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptjnyj
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paratrechina longicornis",
 "Country is Yemen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030310-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtum5f
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030311-250811113504898/datasets/export for details.
DOI: 10.15468/dl.4bbrnd
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030312-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsg8yk
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marenzelleria viridis",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030313-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13026/14tj-m189
title: Community-Acquired Pneumonia, Endotypes and Phenotypes (NACef): Prospective, observational cohort study of Translational Medicine

description: Community-Acquired Pneumonia (CAP) remains a prominent infectious process
associated with elevated in-hospital morbidity and mortality rates. Through
the exploration of phenotypes, endotypes, and biomarkers, it becomes feasible
to identify individuals at a heightened risk of adverse outcomes from CAP. The
dataset encompasses clinical information from 768 patients diagnosed with CAP
at Clinica Universidad de La Sabana, Colombia. Clinical data encompasses
Baseline Clinical Data, In-hospital follow-up and data after hospital
discharge. This repository has been utilized within the framework of a
prospective research study, involving an observational cohort conducted in the
domain of translational medicine. The dataset offers the opportunity for
diverse statistical analyses, contributing to an enhanced comprehension of
CAP, Endotypes, and Phenotypes. Moreover, this dataset proves valuable in the
context of educational initiatives.
DOI: 10.13026/4y3t-pq44
title: Community-Acquired Pneumonia, Endotypes and Phenotypes (NACef): Prospective, observational cohort study of Translational Medicine

description: Community-Acquired Pneumonia (CAP) remains a prominent infectious process
associated with elevated in-hospital morbidity and mortality rates. Through
the exploration of phenotypes, endotypes, and biomarkers, it becomes feasible
to identify individuals at a heightened risk of adverse outcomes from CAP. The
dataset encompasses clinical information from 768 patients diagnosed with CAP
at Clinica Universidad de La Sabana, Colombia. Clinical data encompasses
Baseline Clinical Data, In-hospital follow-up and data after hospital
discharge. This repository has been utilized within the framework of a
prospective research study, involving an observational cohort conducted in the
domain of translational medicine. The dataset offers the opportunity for
diverse statistical analyses, contributing to an enhanced comprehension of
CAP, Endotypes, and Phenotypes. Moreover, this dataset proves valuable in the
context of educational initiatives.
DOI: 10.15468/dl.stdxed
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Deuterodon supparis)",
 "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 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030314-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48abkh
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vespula germanica",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 98 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030315-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frwt3r
title: Occurrence Download

description: A dataset containing 3590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vespula germanica",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3590 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030316-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16923561
title: POEMAS December 2020 10ms

description: Data from the POEMAS instrument for December 2020, with a temporal resolution of 10ms. This record contains daily data files in one or more formats (e.g., ZIP, FITS, CSV).
DOI: 10.15468/dl.tk4wwc
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marenzelleria viridis",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 128 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030317-250811113504898/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.29964113
title: Meta-Analysis

description: This study aims to analyze the various impacts of digital game-based learning (DGBL) on mathematics learning in various educational systems and learning environments. To achieve this goal, a meta-analysis review was conducted. The findings of this meta-analysis revealed that the use of DGBL had a high influence on mathematics learning. Through moderating factors, both teachers and researchers can utilize this information in mathematics learning. So that DGBL can be utilized as optimally as possible which can have a positive impact on mathematics learning.