cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15703911
title: DENTRO DATASET 2025

description: DENTRO: an improved dataset for an improved web tool

Introduction

In recent years, a growing interest in agroforestry systems has been observed in Belgium and the Netherlands. Therefore, it is important to pay sufficient attention to the tree species selection process as this plays a major role in whether the agroforestry project is successful or not. Climate change causes longer periods of (long-term) drought or heavy rainfall which can affect tree growth. This is why it is important that tree species fit the farmer’s field conditions and can handle well with (extreme) weather conditions occurring in the local region. This is why we developed DENTRO, a tree species selection tool of Agroforestry Flanders, in the first place. 

New version of DENTRO

In the previous version of DENTRO, the dataset was called ‘’DENTRO Tree Matrix’’ (EN) or ‘’DENTRO Bomenmatrix’’ (NL). This dataset contained information about how ~80 tree species match certain relevant parameters varying from abiotic conditions (e.g. soil, weather, light, etc.), animals, objectives (e.g. wood/fruit/nut production and ecological function), and feasibility (e.g. disease risks and planting material availability). You can find it here: https://doi.org/10.5281/zenodo.10889583. 

Now, we improved DENTRO by, among other things, adding more tree species and parameters including “climate scores” and translating the tool into English. As the KU Leuven published a study on climate trees including a useful dataset containing 254 tree species (Desie et al., 2024), this dataset was merged with the Tree Matrix dataset. At the moment, DENTRO contains 334 species and cultivars combined. 

Objective

The objective of DENTRO is to guide users in selecting tree and shrub species matching the users’  site conditions and goals. While using DENTRO, the user gains knowledge about tree characteristics, and the effect of a species suitability to certain site and climatic conditions. At the end, the user can generate a summarizing report that compiles the selected species along with the relevant parameters. The latter is useful for comparing different scenarios.

Dataset

This dataset is imported in the back-end of DENTRO (Python). The use of DENTRO is free, and can be accessed through the following link: Agroforestry DENTRO. DENTRO is part of the Agroforestry Planner of Agroforestry Flanders (https://www.agroforestryvlaanderen.be/en/agroforestry-planner-2 ) and is linked to DigitAF's Tool Catalogue (Tools, Data and Projects Catalogue - DigitAF)

Projects and partners



DigitAF (DigitAF)

CAMBIUM (Cambium: boslandbouw integraal - Agroforestry)

Agroforestry Vlaanderen (Home - Agroforestry)


 

More info? Contact us through info@agroforestryvlaanderen.be
DOI: 10.15468/dl.725f2m
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gyrosigma rautenbachiae Cholnoky, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059544-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00001916.0
title: Data Package for study.

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.15468/dl.vzpfqa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplochromis xenognathus Greenwood, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((19.5797 31.1722,19.1382 30.7949,19.1382 29.0599,28.1382 29.0599,28.1382 31.6271,27.0568 31.9369,25.941 32.1276,25.5225 32.0458,25.172 32.4321,23.6289 32.6801,23.3344 33.0794,22.2903 33.4173,21.7076 33.4407,20.3542 32.9952,19.684 32.4793,19.4254 31.8299,19.5797 31.1722))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059547-250525065834625/datasets/export for details.
DOI: 10.15468/dl.g6hn2z
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Panthera uncia (Schreber, 1775)"
 ]
}

 The dataset includes 27 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059548-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85ecqq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gyrosigma rautenbachiae Cholnoky, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059549-250525065834625/datasets/export for details.
DOI: 10.15468/dl.55rybq
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hydnum repandum L."
 ]
}

 The dataset includes 66 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059550-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15648226
title: Dataset for the article "Multiple Adsorption of CO Molecules on Transition Metal Substitutional Impurities in Copper Surfaces"

description: Results of optimized geomitries, energy, magnetic moments, vibrational frequencies, etc. from density functional theory calculations of Cu(100) and Cu(111) surfaces with one surface atom replaced by a 3d or 4d transition metal and up to 4 CO molecules adsorbed to the same single transition metal.
DOI: 10.5281/zenodo.15648227
title: Dataset for the article "Multiple Adsorption of CO Molecules on Transition Metal Substitutional Impurities in Copper Surfaces"

description: Results of optimized geomitries, energy, magnetic moments, vibrational frequencies, etc. from density functional theory calculations of Cu(100) and Cu(111) surfaces with one surface atom replaced by a 3d or 4d transition metal and up to 4 CO molecules adsorbed to the same single transition metal.
DOI: 10.15468/dl.qhpuyu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplochromis xenognathus Greenwood, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 20.0599,19.1382 20.0599,19.1382 11.0599,28.1382 11.0599,28.1382 20.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059551-250525065834625/datasets/export for details.
DOI: 10.15468/dl.uzu548
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gyrosigma rautenbachiae Cholnoky, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059552-250525065834625/datasets/export for details.
DOI: 10.57841/casdc.0005658
title: 典型行业高盐有机废水中关键毒性特征污染物数据集
DOI: 10.15468/dl.bwucpr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplochromis xenognathus Greenwood, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 29.0599,19.1382 29.0599,19.1382 20.0599,28.1382 20.0599,28.1382 29.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059553-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15703928
title: Snow depth estimation from Geoprecision-Maxbotic ultrasonic devices: R processing code and example datasets from Antarctica

description: This dataset provides the R script and example data used to estimate snow depth from ultrasonic distance measurements collected by low-cost Geoprecision-Maxbotic devices, designed for autonomous operation in polar conditions. The dataset includes:





The full R script used for data preprocessing, filtering, and snow depth calculation, with all parameters fully documented.




Example raw and clean data files, ready to use, acquired from a sensor installed in the South Shetland Islands (Antarctica) between 2023 and 2024.



The processing pipeline includes outlier removal (Hampel filter), gap interpolation, moving average smoothing, reference level estimation, and snow depth conversion in millimetres and centimetres. Derived snow depths are exported alongside summary statistics.

This code was developed as part of a research project evaluating the performance and limitations of low-cost ultrasonic snow depth measurement systems in Antarctic permafrost monitoring networks. Although the script was designed for the specific configuration of Geoprecision dataloggers and Maxbotic MB7574-SCXL-Maxsonar-WRST7 sensors, it can be easily adapted to other distance-measuring devices providing similar output formats.

All files are provided in open formats (CSV, and R) to facilitate reuse and reproducibility. Users are encouraged to modify the script to fit their own instrumentation and field conditions.
DOI: 10.5281/zenodo.15703929
title: Snow depth estimation from Geoprecision-Maxbotic ultrasonic devices: R processing code and example datasets from Antarctica

description: This dataset provides the R script and example data used to estimate snow depth from ultrasonic distance measurements collected by low-cost Geoprecision-Maxbotic devices, designed for autonomous operation in polar conditions. The dataset includes:





The full R script used for data preprocessing, filtering, and snow depth calculation, with all parameters fully documented.




Example raw and clean data files, ready to use, acquired from a sensor installed in the South Shetland Islands (Antarctica) between 2023 and 2024.



The processing pipeline includes outlier removal (Hampel filter), gap interpolation, moving average smoothing, reference level estimation, and snow depth conversion in millimetres and centimetres. Derived snow depths are exported alongside summary statistics.

This code was developed as part of a research project evaluating the performance and limitations of low-cost ultrasonic snow depth measurement systems in Antarctic permafrost monitoring networks. Although the script was designed for the specific configuration of Geoprecision dataloggers and Maxbotic MB7574-SCXL-Maxsonar-WRST7 sensors, it can be easily adapted to other distance-measuring devices providing similar output formats.

All files are provided in open formats (CSV, and R) to facilitate reuse and reproducibility. Users are encouraged to modify the script to fit their own instrumentation and field conditions.
DOI: 10.15468/dl.wg7td5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gyrosigma rautenbachiae Cholnoky, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059554-250525065834625/datasets/export for details.
DOI: 10.15468/dl.e5d7e3
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus yarkandensis Günther, 1875"
 ]
}

 The dataset includes 91 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059555-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkz3pz
title: Occurrence Download

description: A dataset listing the 193 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Projet de nouvelle ligne sur le Centre de Valorisation Energetique de Villers Saint Paul - Données naturalistes - CVE Villers-Saint-Paul"
 ]
}

 The dataset's 193 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059545-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14795526
title: Coastal squeeze reduces diversity of dune habitats, but not their heterogeneity - Scripts & Data

description:  







Authors: Eva M. Lansu,  Max Rietkerk,  Martin Wassen, Tjisse van der Heide, Valérie Reijers

Abstract

Coastal ecosystems provide vital services to humanity. Nevertheless, these ecosystems are under increasing pressure, as they are squeezed between rising sea levels and encroaching infrastructure. This spatial confinement – called coastal squeeze – is particularly pressing for sandy coasts and their coastal dunes systems. About one-third of the world's shoreline is defined by sandy coasts with developed dune ecosystems. Yet, it remains unknown how coastal width affects habitat diversity (i.e. the total number of distinct habitats in a landscape) and habitat heterogeneity (i.e. the number of habitats per surface area) in coastal dunes. Using a recently developed high-resolution habitat map of the Dutch coastal dunes, we sampled habitat diversity and heterogeneity along 306 cross-shore transects. We find that wider coastal dune systems accommodate higher habitat diversity, but they do not show a greater habitat heterogeneity. Next, using a dataset of in-field observations of plant species diversity in the coastal dunes, we explore how plant diversity is influenced by coastal width, habitat diversity and heterogeneity. Regression analyses show that both coastal width and habitat diversity steer plant diversity, while habitat heterogeneity has no effect. Our results therefore suggest that both alleviating coastal squeeze and enhancing habitat diversity help to maintain dune plant diversity. In addition, as we find no indication of a relation between habitat heterogeneity and plant diversity, our analyses suggest that management should not strive at enhancing small-scale heterogeneity, but better be targeted at increasing the number of habitats on the landscape scale.

==============================================

 

Methods

The analyses rely on a freely accessible coastal habitat map:

https://liquid-optics-366616.projects.earthengine.app/view/coastal-habitats 

In the deposited folder, you find two main MATLAB scripts to run and accompanying datasets to load. With the first script "M1_create_paper_figures.m" the figures, as presented in our study, can be created. With the second script "M2_regression_analysis.m", the regression analyses can be performed. When running the script, the accompanying MATLAB datasets (data_underlying_figures.mat & data_underlying_regressions.mat ) and CSV files are loaded. 

A readme file is included, which further explains the scripts and datasets.

 

Source data file

In the data file Source_Data.xlsx, each sheet contains the data for one figure or table of the manuscript.
DOI: 10.5281/zenodo.14795527
title: Coastal squeeze reduces diversity of dune habitats, but not their heterogeneity - Scripts & Data

description:  







Authors: Eva M. Lansu,  Max Rietkerk,  Martin Wassen, Tjisse van der Heide, Valérie Reijers

Abstract

Coastal ecosystems provide vital services to humanity. Nevertheless, these ecosystems are under increasing pressure, as they are squeezed between rising sea levels and encroaching infrastructure. This spatial confinement – called coastal squeeze – is particularly pressing for sandy coasts and their coastal dunes systems. About one-third of the world's shoreline is defined by sandy coasts with developed dune ecosystems. Yet, it remains unknown how coastal width affects habitat diversity (i.e. the total number of distinct habitats in a landscape) and habitat heterogeneity (i.e. the number of habitats per surface area) in coastal dunes. Using a recently developed high-resolution habitat map of the Dutch coastal dunes, we sampled habitat diversity and heterogeneity along 306 cross-shore transects. We find that wider coastal dune systems accommodate higher habitat diversity, but they do not show a greater habitat heterogeneity. Next, using a dataset of in-field observations of plant species diversity in the coastal dunes, we explore how plant diversity is influenced by coastal width, habitat diversity and heterogeneity. Regression analyses show that both coastal width and habitat diversity steer plant diversity, while habitat heterogeneity has no effect. Our results therefore suggest that both alleviating coastal squeeze and enhancing habitat diversity help to maintain dune plant diversity. In addition, as we find no indication of a relation between habitat heterogeneity and plant diversity, our analyses suggest that management should not strive at enhancing small-scale heterogeneity, but better be targeted at increasing the number of habitats on the landscape scale.

==============================================

 

Methods

The analyses rely on a freely accessible coastal habitat map:

https://liquid-optics-366616.projects.earthengine.app/view/coastal-habitats 

In the deposited folder, you find two main MATLAB scripts to run and accompanying datasets to load. With the first script "M1_create_paper_figures.m" the figures, as presented in our study, can be created. With the second script "M2_regression_analysis.m", the regression analyses can be performed. When running the script, the accompanying MATLAB datasets (data_underlying_figures.mat & data_underlying_regressions.mat ) and CSV files are loaded. 

A readme file is included, which further explains the scripts and datasets.

 

Source data file

In the data file Source_Data.xlsx, each sheet contains the data for one figure or table of the manuscript.
DOI: 10.15468/dl.sqwmnt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplochromis xenognathus Greenwood, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 2.0599,19.1382 2.0599,19.1382 -6.9401,28.1382 -6.9401,28.1382 2.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059556-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tr826x
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gyrosigma rautenbachiae Cholnoky, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059557-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12226444
title: World Stock Prices ( Daily Updating )