cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0159125.10fu
title: SH0159125.10FU

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: 10.5281/zenodo.18195484
title: Data for: Characterizing Spatiotemporal Heterogeneity and Drivers of Ecological Quality in Inner Mongolia: An Integrated LGBM-SHAP and GOZH Modeling Framework

description: This dataset contains the processed data supporting the findings of the referenced manuscript. It includes: (1) Annual mean RSEI values for Inner Mongolia (2000-2024); (2) The 12 ecological zones (Shapefile/Raster) generated by the GOZH model.
DOI: 10.15156/bio/sh0159126.10fu
title: SH0159126.10FU

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: 10.5281/zenodo.18195483
title: Data for: Characterizing Spatiotemporal Heterogeneity and Drivers of Ecological Quality in Inner Mongolia: An Integrated LGBM-SHAP and GOZH Modeling Framework

description: This dataset contains the processed data supporting the findings of the referenced manuscript. It includes: (1) Annual mean RSEI values for Inner Mongolia (2000-2024); (2) The 12 ecological zones (Shapefile/Raster) generated by the GOZH model.
DOI: 10.15468/dl.hs7dtp
title: Occurrence Download

description: A dataset containing 20336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fuscoporia ferruginosa (Schrad.) Murrill, Phellinus igniarius (L.) Quél.)",
 "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 20336 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324169-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rczzm4
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morus kagayamae Koidz."
 ]
}

 The dataset includes 214 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220827-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umg6dg
title: Occurrence Download

description: A dataset containing 2051466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((92.06434 -10.94014,140.76021 -10.94014,140.76021 22.44076,92.06434 22.44076,92.06434 -10.94014))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2051466 records from 1205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031816-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112037476
title: Cuneiform Tablet 1913.14.1688, Spurlock 1913.14.1688

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1688; CDLI P421539 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Brownish Pink (5YR 8/1.5) Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 4.5 x 3.4 x 1.8 cm (27 g)
DOI: 10.15468/dl.bvhyy6
title: Occurrence Download

description: A dataset containing 49652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galium pumilum Murray, Galium humile Cham. & Schltdl., Galium rotundifolium L.)",
 "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 49652 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0358725-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f48rtc
title: Occurrence Download

description: A dataset containing 37912 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pacifastacus leniusculus (Dana, 1852)"
 ]
}

 The dataset includes 37912 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220832-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx7gzy
title: Occurrence Download

description: A dataset containing 11154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-135.07032 -44.54297,-38.8828 -44.54297,-38.8828 59.51953,-135.07032 59.51953,-135.07032 -44.54297))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Occurrence status inferred from individual count",
 "Issue is Institution match fuzzy",
 "Issue is Collection match fuzzy",
 "Issue is Collection match none",
 "Issue is Institution match none",
 "Issue is Ambiguous collection",
 "Issue is Ambiguous institution",
 "Issue is Country derived from coordinates"
 ]
 },
 "TaxonKey is Brachinus Weber, 1801"
 ]
}

 The dataset includes 11154 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275205-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt8u79
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megalonyx obtusidens Webb & Perrigo, 1985"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299798-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h85wj5
title: Occurrence Download

description: A dataset containing 46123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boloria aquilonaris (Stichel, 1908)"
 ]
}

 The dataset includes 46123 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309319-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lsh2dc
title: Occurrence Download

description: A dataset containing 12108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is Coordinate rounded",
 "Year 1970-2018",
 "Geometry POLYGON((-118 25,-108 25,-108 36,-118 36,-118 25))",
 "HasCoordinate is true",
 "TaxonKey is Carnegiea gigantea (Engelm.) Britton & Rose",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12108 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009948-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98ggz7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nemoria mimosaria (Guenée, 1857)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0393830-210914110416597/datasets/export for details.
DOI: 10.15468/dl.g6xbf4
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bungarus caeruleus (Schneider, 1801)"
 ]
}

 The dataset includes 258 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307663-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jt6p9p
title: Occurrence Download

description: A dataset containing 1326 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caracal Gray, 1843"
 ]
}

 The dataset includes 1326 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228103-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqdfqy
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ameca splendens Miller & Fitzsimons, 1971"
 ]
}

 The dataset includes 37 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009948-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2krkk
title: Occurrence Download

description: A dataset containing 1462266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Branta canadensis (Linnaeus, 1758)",
 "Year is 2019"
 ]
}

 The dataset includes 1462266 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228119-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28wy5e
title: Occurrence Download

description: A dataset listing the 57 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Côte d’Ivoire",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset's 57 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004273-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4rbyz
title: Occurrence Download

description: A dataset containing 1216 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erthesina fullo (Thunberg, 1783)"
 ]
}

 The dataset includes 1216 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254494-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzsdw4
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chaetogammarus ischnus (Stebbing, 1899))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 484 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051052-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmgxsu
title: Occurrence Download

description: A dataset containing 2740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Belgium",
 "PublishingOrg is a344ee9f-f1b7-4761-be2c-58ee6d741395",
 "DatasetKey is Miscellaneous Vascular Plants",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2740 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009948-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8x4ry
title: Occurrence Download

description: A dataset containing 6109538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetraclinis articulata (Vahl) Mast., Crataegus azarolus L., Juniperus communis L., Juniperus oxycedrus L., Juniperus sabina L., Juniperus thurifera L., Pinus pinaster Aiton, Pinus sylvestris L., Sambucus nigra L., Betula pendula Roth, Quercus petraea (Matt.) Liebl., Olea europaea L., Quercus robur L., Vitis vinifera L., Iris aphylla L., Gentiana lutea L., Artemisia campestris L., Ruscus aculeatus L., Atropa baetica Willk., Persicaria hydropiper (L.) Spach, Menyanthes trifoliata L., Iris pseudacorus L., Frangula alnus Mill., Adiantum capillus-veneris L., Persicaria bistorta Linnaeus, 1753, Anacamptis laxiflora (Lam.) R.M.Bateman, Pridgeon & M.W.Chase, Trapa natans L., Apium graveolens L., Rumex crispus L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6109538 records from 2155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034105-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3tk73
title: Occurrence Download

description: A dataset containing 3543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canis lupus",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3543 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020882-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zy45h9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cassia fistula",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020883-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5m349hfvkb
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: 10.17632/5m349hfvkb.2
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.f6dkjb
title: Occurrence Download

description: A dataset containing 10368 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melanthera nivea"
 ]
}

 The dataset includes 10368 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020884-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.