cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0159107.10fu
title: SH0159107.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0159108.10fu
title: SH0159108.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0159109.10fu
title: SH0159109.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.j37jgq
title: Occurrence Download

description: A dataset containing 183565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melampyrum sylvaticum"
 ]
}

 The dataset includes 183565 records from 457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020798-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzv5sp
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Persicaria tinctoria"
 ]
}

 The dataset includes 17 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020851-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zbaw6
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020852-250717081556266/datasets/export for details.
DOI: 10.15468/dl.7bacf2
title: Occurrence Download

description: A dataset containing 11600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis familiaris"
 ]
}

 The dataset includes 11600 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020853-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.623vsw
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020854-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16258820
title: Dataset to test Hausdorff dintance algorithms

description: These datasets were used in the paper"Efficient algorithms to calculate the Hausdorff Distance on point sets represented by a k2-tree"by Fernando Domínguez, Gilberto Gutiérrez, Miguel R. Penabad, Miguel Romero and Fernando Santolaya,submitted to the Geoinformatica journal by Springer.

Real datasets:- Ciconia: Originally taken from https://figshare.com/collections/Object_Trajectories/5740388/2  [Gómez Brandón, Adrián (2021). Object Trajectories. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.5740388.v2]  Dataset Ciconia contains trajectories from 88 white storks travelling between Europe and Africa.  - LAW: Orginally taken from http://law.di.unimi.it.  Laboratory for Web Algorithmics.  Dataset contains web graphs (links between pages) from the .uk domain.  Synthecic datasets:- Six datasets. Each one contains files with different suffixes: G (Gaussian distribution), R (Random/Uniform distribution) and M (mixed).
DOI: 10.5281/zenodo.16258821
title: Dataset to test Hausdorff dintance algorithms

description: These datasets were used in the paper"Efficient algorithms to calculate the Hausdorff Distance on point sets represented by a k2-tree"by Fernando Domínguez, Gilberto Gutiérrez, Miguel R. Penabad, Miguel Romero and Fernando Santolaya,submitted to the Geoinformatica journal by Springer.

Real datasets:- Ciconia: Originally taken from https://figshare.com/collections/Object_Trajectories/5740388/2  [Gómez Brandón, Adrián (2021). Object Trajectories. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.5740388.v2]  Dataset Ciconia contains trajectories from 88 white storks travelling between Europe and Africa.  - LAW: Orginally taken from http://law.di.unimi.it.  Laboratory for Web Algorithmics.  Dataset contains web graphs (links between pages) from the .uk domain.  Synthecic datasets:- Six datasets. Each one contains files with different suffixes: G (Gaussian distribution), R (Random/Uniform distribution) and M (mixed).
DOI: 10.15468/dl.ne6btu
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cassia fistula",
 "Country is Nicaragua",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020856-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nn346b
title: Occurrence Download

description: A dataset containing 31191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Nandina domestica"
 ]
}

 The dataset includes 31191 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020855-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5g3yr2
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canis lupus",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 82 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020857-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16259367
title: Trait Emotional Intelligence and other psychological Variables
DOI: 10.5281/zenodo.16259368
title: Trait Emotional Intelligence and other psychological Variables
DOI: 10.5517/ccdc.csd.cc2lrqlp
title: CCDC 2406083: Experimental Crystal Structure Determination

description: Related Article: Ran Cen, Li-Xia Chen, Shang-Wei Yuan, Cheng-Hui Wang, Qing-Hong Bai, Li Zeng, An-Ting Zhao, Hou-Jing Liu, Xin Xiao|2025|Inorg.Chem.|64|13196|doi:10.1021/acs.inorgchem.5c01450
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.8dqscq
title: Occurrence Download

description: A dataset containing 1061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "TaxonKey is Imperata cylindrica major"
 ]
}

 The dataset includes 1061 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020858-250717081556266/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.29608274
title: ICF_MAASTHI.docx

description: This study explores the maternal depressive symptoms during pregnancy and postpartum and its effect on child developmental delay assessed at one-year of age. The study material which inclusive of study information sheet and consent were uploaded in the current data repository.
DOI: 10.6084/m9.figshare.29608274.v1
title: ICF_MAASTHI.docx

description: This study explores the maternal depressive symptoms during pregnancy and postpartum and its effect on child developmental delay assessed at one-year of age. The study material which inclusive of study information sheet and consent were uploaded in the current data repository.
DOI: 10.15468/dl.4xc3us
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dysosma pleiantha"
 ]
}

 The dataset includes 65 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020859-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfz2um
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromolaena odorata",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020861-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txs77f
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromolaena odorata",
 "Country is Nigeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 232 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020860-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16259099
title: DB CPCs
DOI: 10.5281/zenodo.16259100
title: DB CPCs
DOI: 10.17632/5m349hfvkb.1
title: UAVs-based Turkey Earthquake Building Damage Estimation Dataset (UAVs-TEBDE)

description: The UAVs-TEBDE (Turkey Earthquake Building Damage Estimation) dataset is a high-resolution aerial imagery collection developed to support AI-based post-earthquake damage assessment using deep learning and computer vision. Created in response to the 2023 Turkey earthquakes, the dataset provides annotated building imagery specifically curated for multi-class classification of structural integrity.

The original dataset consists of 1,636 images, each categorized into one of three damage levels:

# Collapsed – Complete structural failure or irreparable destruction (474 images)
#Damaged – Partial failure with visible deformation or cracking (664 images)
#Intact – Structurally stable with no visible signs of damage (498 images)

Imagery was collected using a hybrid acquisition strategy combining:

UAV field missions conducted in the immediate aftermath of the 2023 Turkey earthquakes

Publicly available sources, including:

- Online media platforms (e.g., YouTube, news broadcasts)
-Stock repositories (e.g., Shutterstock, Stock)
-Open datasets (e.g., Kaggle, GitHub)

This multi-source approach ensures a diverse representation of building types, materials, damage patterns, and environmental conditions (e.g., variations in lighting, resolution, and viewing angles), enhancing the dataset’s generalizability for real-world disaster response scenarios.

Data Augmentation Strategy
To address the limited sample size and improve model robustness, a comprehensive image augmentation pipeline was applied to the original dataset. This process generated synthetic but realistic image variants while preserving core structural features.

The augmentation parameters used include:

*Rotation Range: ±160°
*Width Shift: 0.2
*Height Shift: 0.2
*Shear Range: 0.2
*Zoom Range: 0.25
*Horizontal Flip: Enabled
*Fill Mode: Reflect
*Constant Fill Value: 125
*Batch Size: 32
*Augmentation Cycles: 200+

This augmentation strategy increased the total number of samples to 5,500 images per class, resulting in a final dataset size of 16,500 images:

#Collapsed: 5,500 images
#Damaged: 5,500 images
#Intact: 5,500 images

This enhanced version of UAVs-TEBDE offers a balanced, diverse, and high-quality benchmark for training and evaluating advanced building damage detection models.

Code Availability
The related model architecture and training pipeline, including the SCA_HMDA attention module, Vision Transformer, and data augmentation routines, are openly available in the following GitHub repository:
https://github.com/najmulmowla1/Earthquake-Building-Damage-Detection
DOI: 10.15468/dl.jv2kk5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polydora cornuta",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020862-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16259532
title: AIMS - WW3 Reanalysis dataset for a portion of the Thyrrenian Sea

description: This dataset contains high-resolution reanalysis data produced using the Wave Watch 3 (WW3) model. The dataset provides comprehensive metocean information, including wave parameters, wind speeds, and directions over an extended period. It is valuable for offshore and nearshore wind energy development, marine spatial planning, coastal engineering, and climate studies. This reanalysis dataset is particularly suited for understanding wave climate variability, extreme weather events, and supporting risk assessments for marine and offshore operations.
description: AIMS: Artificial Intelligence to Monitor our Seas is funded by the European Union - NextGeneration EU within the PRIN 2022 PNRR program (D.D.1409 del 14/09/2022 Ministero dell’Università e della Ricerca). This document reflects only the authors’ view, and the Commission and Ministry cannot be considered responsible for any use that may be made of the information it contains.
DOI: 10.15468/dl.pdptba
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020864-250717081556266/datasets/export for details.
DOI: 10.15468/dl.e4wyep
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020863-250717081556266/datasets/export for details.
DOI: 10.15468/dl.qaqdeg
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spartina anglica",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020865-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.849fjf
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spartina anglica",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020866-250717081556266/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.29608380
title: Assessing seasonal geohazard risk related to precipitation on traditional villages under climate change: a region-level analysis of southwest Yunnan, China

description: The geohazard risks of traditional villages are seasonally differentiated, yet the spatial-temporal distribution pattern of the risks has not been effectively assessed. This study aims to provide an analysis example for seasonal risk assessment and therefore to promote evidence-based risk prevention. We constructed a comprehensive risk assessment framework and quantitatively assessed the spatiotemporal risk dynamics for 98 traditional villages in southwest Yunnan, China. The framework integrated 12 indicators across 3 dimensions, including hazard, exposure and vulnerability. To characterize seasonality, four seasons were delineated (I: March-May, II: June-August, III: September-November, IV: December-February). The findings show that: (1) Temporally, the season II has the highest comprehensive risk, followed by the season III, I and IV, with 31%, 17%, 12% and 3% of villages at high risk level, respectively. (2) Spatially, the high-risk villages are predominantly in the western and northern regions. Differently, the southern and eastern regions exhibit significantly greater overall risk during seasons II and III compared to seasons I and IV, due to intense precipitation hazard. (3) With jurisdiction over a large number of villages, about 33% of counties face persistent high risk in all seasons. The study provides decision-making foundations for temporally targeted geohazard prevention in traditional villages.
DOI: 10.6084/m9.figshare.29608380.v1
title: Assessing seasonal geohazard risk related to precipitation on traditional villages under climate change: a region-level analysis of southwest Yunnan, China

description: The geohazard risks of traditional villages are seasonally differentiated, yet the spatial-temporal distribution pattern of the risks has not been effectively assessed. This study aims to provide an analysis example for seasonal risk assessment and therefore to promote evidence-based risk prevention. We constructed a comprehensive risk assessment framework and quantitatively assessed the spatiotemporal risk dynamics for 98 traditional villages in southwest Yunnan, China. The framework integrated 12 indicators across 3 dimensions, including hazard, exposure and vulnerability. To characterize seasonality, four seasons were delineated (I: March-May, II: June-August, III: September-November, IV: December-February). The findings show that: (1) Temporally, the season II has the highest comprehensive risk, followed by the season III, I and IV, with 31%, 17%, 12% and 3% of villages at high risk level, respectively. (2) Spatially, the high-risk villages are predominantly in the western and northern regions. Differently, the southern and eastern regions exhibit significantly greater overall risk during seasons II and III compared to seasons I and IV, due to intense precipitation hazard. (3) With jurisdiction over a large number of villages, about 33% of counties face persistent high risk in all seasons. The study provides decision-making foundations for temporally targeted geohazard prevention in traditional villages.
DOI: 10.34740/kaggle/dsv/12531452
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.dngawk
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromolaena odorata",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020867-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eayhfg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cassia fistula",
 "Country is Saint Vincent and the Grenadines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020868-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aam97r
title: Occurrence Download

description: A dataset containing 1368 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silene sorensenis"
 ]
}

 The dataset includes 1368 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020869-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.