cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4sseyv
title: Occurrence Download

description: A dataset containing 538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphanobasidium pseudotsugae (Burt) Boidin & Gilles)",
 "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 538 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231046-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qzh5r
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Idiopidae"
 ]
}

 The dataset includes 63 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027807-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vsxkm
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrotheca albolineata (Lutz & Lutz, 1939)"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299363-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gn3c5
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paspalum galapageium Chase"
 ]
}

 The dataset includes 147 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116036-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ez4ggk
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinella atacamensis (Cei, 1962)"
 ]
}

 The dataset includes 285 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299361-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xprhke
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calochortus raichei Farwig & V.Girard"
 ]
}

 The dataset includes 99 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116034-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m2qm7
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis farisorum Mueses-Cisneros, Perdomo-Castillo & Cepeda-Quilindo, 2013"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299372-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbnm95
title: Occurrence Download

description: A dataset containing 5997 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tradescantia pallida (Rose) D.R.Hunt"
 ]
}

 The dataset includes 5997 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017855-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14616054
title: Sample coverage affects diversity measures of bird communities along a natural recovery gradient of abandoned agriculture in tropical lowland forests - data and code

description: Bird data based on accoustic recorders from forests and agricultural areas in Canandé, Esmeraldas Province of northwestern Ecuador. Scripts contain R code for analysis of the data.
DOI: 10.5281/zenodo.14616053
title: Sample coverage affects diversity measures of bird communities along a natural recovery gradient of abandoned agriculture in tropical lowland forests - data and code

description: Bird data based on accoustic recorders from forests and agricultural areas in Canandé, Esmeraldas Province of northwestern Ecuador. Scripts contain R code for analysis of the data.
DOI: 10.21227/zpye-8h70
title: ViT-DARTS: A Parameter-Efficient, Vision Transformer-Based Differentiable Architecture Search for UAV-Based Sward Height Regression

description: Sward height is a crucial indicator in pasture management. Unmanned Aerial Vehicle (UAV) imagery is commonly used to estimate sward height through Digital Surface Models (DSMs) by subtracting ground and canopy elevation. However, this method requires substantial expertise to manually correct the inaccuracies caused by variable terrain and dense vegetation canopies. Deep learning methods for estimating sward height remain underexplored, primarily due to the labour-intensive collection of diverse field measurements and the computational demands required to train customized solutions for specific farm conditions from existing models. Additionally, manually designing model architectures is time-consuming and resource-intensive.This paper aims to automatically develop a parameter-efficient deep learning model for sward height estimation and other agricultural plant height regression tasks using UAV-derived DSMs. To achieve this, the ViT-DARTS method is introduced, integrating Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs) as candidates within the Differentiable Architecture Search (DARTS) framework, and layer group lasso regularization to promote sparsity and reduce overfitting.After training on a sward height dataset, we evaluated the performance of the ViT-DARTS-searched model against the original DARTS-searched model and existing CNN and ViT-based deep learning models across four diverse sward and crop datasets, using varying amounts of training data. The results demonstrated that the ViT-DARTS-searched model exhibited robust performance when trained from scratch under different datasets, and using 3,900 times fewer parameters than the classical CNN-based model, AlexNet.
DOI: 10.15468/dl.f3n3d8
title: Occurrence Download

description: A dataset containing 657038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2005",
 "DecimalLongitude is greater than or equal to 7.0",
 "DecimalLongitude is less than or equal to 11.0",
 "DecimalLatitude is greater than or equal to 54.5",
 "DecimalLatitude is less than or equal to 58.0"
 ]
}

 The dataset includes 657038 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061238-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwgt4n
title: Occurrence Download

description: A dataset containing 33882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anacridium aegyptium (Linnaeus, 1764)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33882 records from 485 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061254-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvstfa
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "Geometry POLYGON((120.40576 17.81004,121.00033 17.81004,121.00033 18.68029,120.40576 18.68029,120.40576 17.81004))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhinella marina (Linnaeus, 1758)",
 "Year 2019-2023"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061256-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14616341
title: Visium 002s
DOI: 10.5281/zenodo.14616342
title: Visium 002s
DOI: 10.15468/dl.k4vdz5
title: Occurrence Download

description: A dataset containing 4305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Antaxius pedestris (Fabricius, 1787)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4305 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061258-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjm9v9
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "Geometry POLYGON((120.40576 17.81004,121.00033 17.81004,121.00033 18.68029,120.40576 18.68029,120.40576 17.81004))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhinella marina (Linnaeus, 1758)",
 "Year 2019-2023"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061259-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uppvdu
title: Occurrence Download

description: A dataset containing 13080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arcyptera fusca (Pallas, 1773)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13080 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061260-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35rvj3
title: Occurrence Download

description: A dataset containing 6402989 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Buteo buteo (Linnaeus, 1758)"
 ]
}

 The dataset includes 6402989 records from 6276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061245-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqj6gf
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tubipora musica Linnaeus, 1758"
 ]
}

 The dataset's 2 records were derived from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019689-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njscrx
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tubipora musica Linnaeus, 1758"
 ]
}

 The dataset includes 452 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019692-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ee6423
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.38_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Camassia cusickii S.Watson",
 "Year 1993-2024"
 ]
}

 The dataset includes 26 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019693-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyf7nx
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.38_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Camassia cusickii S.Watson",
 "Year 1993-2024"
 ]
}

 The dataset includes 26 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019694-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wa636z
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ecpleopus gaudichaudii Duméril & Bibron, 1839"
 ]
}

 The dataset includes 151 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019696-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.248567
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.34_1",
 "TaxonKey is one of (Clethrionomys gapperi (Vigors, 1830), Myodes gapperi (Vigors, 1830))"
 ]
}

 The dataset includes 428 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019695-240626123714530/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.25962231
title: Kernel Angle Dependence Measures in Metric Spaces

description: Measuring and testing dependence between data in separable metric spaces is of great importance in modern statistics. Most existing work relied on the distance between random variables, which inevitably required the moment conditions to guarantee the distance is well-defined. Based on the geometry element “angle”, we develop a novel class of nonlinear dependence measures for data in metric space that can avoid such conditions. Specifically, by making use of the reproducing kernel Hilbert space equipped with Gaussian measure, we introduce kernel angle covariances that can be applied to various types of data, including low dimensional vector, high dimensional vectors, non-Euclidean data like symmetric positive definite matrices, and compositional data. We estimate kernel angle covariances based on <i>U</i>-statistic and establish the corresponding independence tests via gamma approximation. Our kernel angle independence tests, imposing no-moment conditions on kernels, are robust with heavy-tailed random variables. We conduct comprehensive simulation studies and apply our proposed methods to a facial recognition task. Our kernel angle covariances-based tests show remarkable performances in dealing with image data. All the codes and proofs are included in the supplementary materials.
DOI: 10.6084/m9.figshare.25962231.v1
title: Kernel Angle Dependence Measures in Metric Spaces

description: Measuring and testing dependence between data in separable metric spaces is of great importance in modern statistics. Most existing work relied on the distance between random variables, which inevitably required the moment conditions to guarantee the distance is well-defined. Based on the geometry element “angle”, we develop a novel class of nonlinear dependence measures for data in metric space that can avoid such conditions. Specifically, by making use of the reproducing kernel Hilbert space equipped with Gaussian measure, we introduce kernel angle covariances that can be applied to various types of data, including low dimensional vector, high dimensional vectors, non-Euclidean data like symmetric positive definite matrices, and compositional data. We estimate kernel angle covariances based on <i>U</i>-statistic and establish the corresponding independence tests via gamma approximation. Our kernel angle independence tests, imposing no-moment conditions on kernels, are robust with heavy-tailed random variables. We conduct comprehensive simulation studies and apply our proposed methods to a facial recognition task. Our kernel angle covariances-based tests show remarkable performances in dealing with image data. All the codes and proofs are included in the supplementary materials.
DOI: 10.34740/kaggle/dsv/8924878
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.9nnsdp
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tubipora musica Linnaeus, 1758"
 ]
}

 The dataset includes 452 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019698-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12706667
title: Data and R code for: "Nineteenth-century land use shape the current occurrence of some plant species, but weakly affects richness and total composition of Central European grasslands"'

description: IndVal.all.habitats.csv: the results of the IndVal statistics (De Cáceres et al. 2013) for 1,498 species for the historical land use categories calculated across the entire dataset;




IndVal.separate.habitats.csv: the results of the IndVal statistics for 1,498 species for the historical land use categories calculated for each habitat type (dry grasslands, mesic grasslands, wet grasslands) separately;




ecological.and.disturbance.values.csv: the original Ellenberg-type and disturbance indicator values, and the varimax-rotated components (‘RC’) used in the analysis (data obtained from Tichý et al. 2023 and Midolo et al. 2023; accessible at the FloraVeg.eu website https://floraveg.eu/download/);




R code and data for reproducibility. The R code is for illustration purposes only and is based on a subset of 1,184 mesic grassland vegetation plots located in the Czech Republic and in the study area. This is part of the Czech National Phytosociological Database (Chytrý & Rafajová 2003) and the European Vegetation Archive (Chytrý et al. 2016). The data includes the following:





 data folder:















i. indicator.values.csv: the original indicator values for 831 species;

ii. plot.data.csv: data for each of the 1,184 vegetation plots, including their historical land use, plot size, bioclimatic variables (‘bio’; Karger et al. 2017), and soil pH (Hengl et al. 2017);

iii. species.matrix.csv: community matrix reporting the relative abundance of species (columns) and plot sites (rows).



R scripts for species richness, species composition, and species indicator analyses. R script are also rendered in .html with R Markdown.
DOI: 10.5281/zenodo.12706668
title: Data and R code for: "Nineteenth-century land use shape the current occurrence of some plant species, but weakly affects richness and total composition of Central European grasslands"'

description: IndVal.all.habitats.csv: the results of the IndVal statistics (De Cáceres et al. 2013) for 1,498 species for the historical land use categories calculated across the entire dataset;




IndVal.separate.habitats.csv: the results of the IndVal statistics for 1,498 species for the historical land use categories calculated for each habitat type (dry grasslands, mesic grasslands, wet grasslands) separately;




ecological.and.disturbance.values.csv: the original Ellenberg-type and disturbance indicator values, and the varimax-rotated components (‘RC’) used in the analysis (data obtained from Tichý et al. 2023 and Midolo et al. 2023; accessible at the FloraVeg.eu website https://floraveg.eu/download/);




R code and data for reproducibility. The R code is for illustration purposes only and is based on a subset of 1,184 mesic grassland vegetation plots located in the Czech Republic and in the study area. This is part of the Czech National Phytosociological Database (Chytrý & Rafajová 2003) and the European Vegetation Archive (Chytrý et al. 2016). The data includes the following:





 data folder:















i. indicator.values.csv: the original indicator values for 831 species;

ii. plot.data.csv: data for each of the 1,184 vegetation plots, including their historical land use, plot size, bioclimatic variables (‘bio’; Karger et al. 2017), and soil pH (Hengl et al. 2017);

iii. species.matrix.csv: community matrix reporting the relative abundance of species (columns) and plot sites (rows).



R scripts for species richness, species composition, and species indicator analyses. R script are also rendered in .html with R Markdown.
DOI: 10.15468/dl.bz27sm
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mangifera caesia Jack",
 "Year 1993-2024"
 ]
}

 The dataset includes 23 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019699-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9e3rg2
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GenusKey is Tapirus Brisson, 1762",
 "Country is Colombia",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 27 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019700-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.