cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.avb27u
title: Occurrence Download

description: A dataset containing 730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barynotus moerens (Fabricius, 1792)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 730 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016488-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sv6dh9
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "TaxonKey is Lynx canadensis Kerr, 1792",
 "Year is 2017"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016489-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdzjj5
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Physella heterostropha (Say, 1817))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 210 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016492-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2jcbw
title: Occurrence Download

description: A dataset containing 20257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betula papyrifera Marshall",
 "Year 1970-2025"
 ]
}

 The dataset includes 20257 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016490-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rstmnj
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "TaxonKey is Lynx canadensis Kerr, 1792",
 "Year is 2018"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016493-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjadjj
title: Occurrence Download

description: A dataset containing 517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Deroceras panormitanum (Lessona & Pollonera, 1882))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 517 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016494-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15470/pz73qq
title: Herbario de la Universidad de Granada: Colecci?n GDAC-Bryophyta

description: Esta colecci?n est? compuesta por XXXX ejemplares de musgos y hep?ticas incluidos en la secci?n GDAC (antiguo herbario del departamento de Bot?nica en la Facultad de Ciencias) del Herbario de la Universidad de Granada. Este herbario re?ne las colecciones GDA y GDAC unificadas en el a?o 2000 (Index Herbariorum: Thiers, 2014). Pese a que ambas mantienen su individualidad, GDAC se cerr? y actualmente la incorporaci?n de nuevos ejemplares se contin?a en la secci?n GDA. Este juego de datos corresponde a las recolecciones efectuadas por el Dr. J. Varo durante el periodo 1970-1973 y posteriormente por  J.A. Gil Garc?a que enriqueci? sensiblemente esta colecci?n  con recolecciones en distintas localizaciones andaluzas y del resto de la geograf?a espa?ola. Adem?s contiene los registros correspondientes a las revisiones posteriores de dichos ejemplares, completando un total de XXX registros.
DOI: 10.15468/dl.wz786q
title: Occurrence Download

description: A dataset containing 8435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Larix sibirica Ledeb.",
 "Year 1970-2025"
 ]
}

 The dataset includes 8435 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016495-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tsanv
title: Occurrence Download

description: A dataset containing 8563 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salpichroa origanifolia (Lam.) Baill."
 ]
}

 The dataset includes 8563 records from 371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016496-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpg2ac
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "TaxonKey is Lynx canadensis Kerr, 1792",
 "Year is 2019"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016497-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvvnsg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asterolecanium miliaris (Boisduval, 1869)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016498-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57755/9jy2-b359
title: Growth of Staphylococcus aureus in the presence of food preservatives

description: <p><span style="font-size:12.04px">Metadata on the growth of Staphylococcus aureus in different concentrations of curing salt, sorbic acid, sodium lactate.</span><br /></p>
DOI: 10.15468/dl.bzzzwu
title: Occurrence Download

description: A dataset containing 36641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Solanum dulcamara L."
 ]
}

 The dataset includes 36641 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016501-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzaz8g
title: Occurrence Download

description: A dataset containing 18736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Sweden",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "Year 2010-2025"
 ]
}

 The dataset includes 18736 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016502-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14991302
title: Results of the evaluation of tools for finding original versions of images

description: Results of the evaluation of tools for finding original versions of images
description: Результати оцінки засобів пошуку оригінальних версій зображень
DOI: 10.5281/zenodo.14991092
title: Results of the evaluation of fact-checking tools

description: Scenario for evaluating fact-checking tools in messages and newsObjective: to evaluate the ability of fact-checking tools to determine the truthfulness of news articles using keywords generated by artificial intelligence.Input: real (TRUE) and fake news (FALSE):1.    Attack on Kyiv region: police showed photos of destruction - TRUE;2.    No 'red lines' in Ukraine support, French foreign minister tells BBC - TRUE;3.    Kyiv is in shock. Residents of Pokrovsk say they are waiting for Russian liberators - FALSE;4.    Russian troops grind towards Pokrovsk, take second Ukrainian town in a week - FALSE.Steps.1.    Select the news.2.    Create a set of relevant keywords from the news text using the ChatGPT dialogue template: "Hi. Could you please create a list of the most relevant keywords for the article link to the article?"3.    Enter the keywords into the fact-checking tool.4.    Record the result of the tool's evaluation.
description: Сценарій оцінки засобів перевірки фактів у повідомленнях та новинах.

Мета: оцінити здатність інструментів перевірки фактів визначати правдивість статей новин за допомогою ключових слів, згенерованих штучним інтелектом.

Вхід: реальні (TRUE) та сфальсифіковані новини (FALSE):

1.    Атака на Київську область: поліція показала фото з руйнуваннями  – TRUE;

2.    No 'red lines' in Ukraine support, French foreign minister tells BBC  – TRUE;

3.    Киев в шоке. Жители Покровска заявили, что ждут российских освободителей  – FALSE;

4.    Russian troops grind towards Pokrovsk, take second Ukrainian town in a week  – FALSE.

Кроки.

1.    Вибір новини.

2.    Створення набору релевантних ключових слів із тексту новини за допомогою шаблону діалогу для ChatGPT: «Привіт. Створи, будь-ласка, список з найбільш релевантних ключових слів для статті посилання на статтю»

3.    Введення ключових слів в інструмент перевірки фактів.

4.    Фіксація результату оцінки інструменту.
DOI: 10.5281/zenodo.14993022
title: Evaluation of automated media content manipulation detection tools

description: Tools for automated detection of media content manipulationObjective: To evaluate the effectiveness of tools that use AI algorithms to determine whether an image has been created or edited with the help of AI.Input:1.    15 original unedited photo images (https://tinyurl.com/3y2pp67s) - Exist;2.    15 images created by artificial intelligence (https://tinyurl.com/27z9dnc9) - Generated by AI.Steps.1.    Select an image from the dataset.2.    Use a tool for automated detection of manipulation of media content.3.    Fixing the result of the tool evaluation.Expected results. The tools should give the correct classification of the image according to its type ("existing", "generated by AI").Results. The evaluation results of each tool are summarised in a table.
description: Засоби автоматизованого виявлення маніпуляцій з медіа-контентомМета: оцінити ефективність інструментів, які за допомогою алгоритмів ШІ визначають чи було створено або редаговано зображення за допомогою ШІ.Вхід: 1.    15 оригінальних нередагованих фотозображень (https://tinyurl.com/3y2pp67s)  - Exist;2.    15 зображень, які створені штучним інтелектом (https://tinyurl.com/27z9dnc9) – Generated by AI.Кроки.1.    Вибір зображення з набору даних.2.    Використання інструменту автоматизованого виявлення маніпуляцій з медіа-контентом.3.    Фіксація результату оцінки інструменту.Очікувані результати. Інструменти повинні дати правильну класифікацію зображення відповідно до його типу («існує», «згенеровано ШІ»).Результати. Результати оцінювання кожного інструменту зводяться у таблицю.
DOI: 10.5281/zenodo.14991091
title: Results of the evaluation of fact-checking tools

description: Scenario for evaluating fact-checking tools in messages and newsObjective: to evaluate the ability of fact-checking tools to determine the truthfulness of news articles using keywords generated by artificial intelligence.Input: real (TRUE) and fake news (FALSE):1.    Attack on Kyiv region: police showed photos of destruction - TRUE;2.    No 'red lines' in Ukraine support, French foreign minister tells BBC - TRUE;3.    Kyiv is in shock. Residents of Pokrovsk say they are waiting for Russian liberators - FALSE;4.    Russian troops grind towards Pokrovsk, take second Ukrainian town in a week - FALSE.Steps.1.    Select the news.2.    Create a set of relevant keywords from the news text using the ChatGPT dialogue template: "Hi. Could you please create a list of the most relevant keywords for the article link to the article?"3.    Enter the keywords into the fact-checking tool.4.    Record the result of the tool's evaluation.
description: Сценарій оцінки засобів перевірки фактів у повідомленнях та новинах.

Мета: оцінити здатність інструментів перевірки фактів визначати правдивість статей новин за допомогою ключових слів, згенерованих штучним інтелектом.

Вхід: реальні (TRUE) та сфальсифіковані новини (FALSE):

1.    Атака на Київську область: поліція показала фото з руйнуваннями  – TRUE;

2.    No 'red lines' in Ukraine support, French foreign minister tells BBC  – TRUE;

3.    Киев в шоке. Жители Покровска заявили, что ждут российских освободителей  – FALSE;

4.    Russian troops grind towards Pokrovsk, take second Ukrainian town in a week  – FALSE.

Кроки.

1.    Вибір новини.

2.    Створення набору релевантних ключових слів із тексту новини за допомогою шаблону діалогу для ChatGPT: «Привіт. Створи, будь-ласка, список з найбільш релевантних ключових слів для статті посилання на статтю»

3.    Введення ключових слів в інструмент перевірки фактів.

4.    Фіксація результату оцінки інструменту.
DOI: 10.5281/zenodo.14991301
title: Results of the evaluation of tools for finding original versions of images

description: Results of the evaluation of tools for finding original versions of images
description: Результати оцінки засобів пошуку оригінальних версій зображень
DOI: 10.5281/zenodo.14993021
title: Evaluation of automated media content manipulation detection tools

description: Tools for automated detection of media content manipulationObjective: To evaluate the effectiveness of tools that use AI algorithms to determine whether an image has been created or edited with the help of AI.Input:1.    15 original unedited photo images (https://tinyurl.com/3y2pp67s) - Exist;2.    15 images created by artificial intelligence (https://tinyurl.com/27z9dnc9) - Generated by AI.Steps.1.    Select an image from the dataset.2.    Use a tool for automated detection of manipulation of media content.3.    Fixing the result of the tool evaluation.Expected results. The tools should give the correct classification of the image according to its type ("existing", "generated by AI").Results. The evaluation results of each tool are summarised in a table.
description: Засоби автоматизованого виявлення маніпуляцій з медіа-контентомМета: оцінити ефективність інструментів, які за допомогою алгоритмів ШІ визначають чи було створено або редаговано зображення за допомогою ШІ.Вхід: 1.    15 оригінальних нередагованих фотозображень (https://tinyurl.com/3y2pp67s)  - Exist;2.    15 зображень, які створені штучним інтелектом (https://tinyurl.com/27z9dnc9) – Generated by AI.Кроки.1.    Вибір зображення з набору даних.2.    Використання інструменту автоматизованого виявлення маніпуляцій з медіа-контентом.3.    Фіксація результату оцінки інструменту.Очікувані результати. Інструменти повинні дати правильну класифікацію зображення відповідно до його типу («існує», «згенеровано ШІ»).Результати. Результати оцінювання кожного інструменту зводяться у таблицю.
DOI: 10.5281/zenodo.15050116
title: Debris Flow Hazard-Causing Factors Dataset for the Yunnan Section of the Nujiang River Basin, China

description: This dataset contains hazard-causing factors for debris flow prediction using deep learning models.The data were collected from the Yunnan Section of the Nujiang River Basin, China, and include topographical, hydrological, geological, meteorological, and vegetation-related factors.

The dataset includes 159 debris flow sites with 15 influencing factors.




Variable Code
Description
Unit
Data Type




No
Sample ID
-
Integer


X1
Maximum 24-hour Rainfall
mm
Float


X2
Annual Average Rainfall
mm
Float


X3
Annual Average Temperature
°C
Float


X4
Annual Average Wind Speed
m/s
Float


X5
Annual Average Vapor Pressure
hPa
Float


X6
Annual Average Relative Humidity
%
Float


X7
Potential Source Energy
10⁹ J/m²
Float


X8
Catchment Area
km²
Float


X9
Average Gradient of Main Channel
-
Float


X10
Length Ratio of Sediment Supply Section
-
Float


X11
Length of Main Channel
km
Float


X12
Sinuosity of Main Channel
-
Float


X13
Drainage Density
km/km²
Float


X14
Valley Profile Roundness
-
Float


X15
Vegetation Cover Rate
%
Float


X16
Average Slope
°
Float
DOI: 10.15468/dl.fdb9u6
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ceroplastes rubens Maskell, 1893",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 266 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016503-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15044170
title: Predicting spatiotemporal bioclimatic niche dynamics of endemic Pyrenean plant species under climate change: how much will we lose?

description: This dataset supports the modeling of spatiotemporal bioclimatic niche dynamics of Pyrenean endemic plant species under climate change and allows for reproducing the results of the study "Predicting spatiotemporal bioclimatic niche dynamics of endemic Pyrenean plant species under climate change: how much will we lose?". The code is also adaptable to other endemic organisms.



If the paper is accepted for publication, the authors' information and affiliations will be disclosed later, in accordance with the double-blind review policy.


Provided data includes : 



Main script: SDM_endemic_species.R (SDM for endemic species).

Auxiliary scripts: Filter_species_empty_folds.R and Rarefaction_analysis.R (support key decisions in the main script).

Data: Study area shapefiles of the Pyrenees, species occurrences from the study (iNaturalist, GBIF), and ATLAS OF PYRENEAN FLORA ENDEMIC.xlsx (detailling species selection in the study)

An overview of the study methodology
description: Funding statement: This study received financial support from the Occitanie Region (Emergence 2024) and the Commissariat du Massif des Pyrénées (FNADT 2023), as well as from the Fédération de Recherche 2043, Energie & Environnement (UPVD/CNRS). It also received technical and financial support from the Interreg-POCTEFA program as part of the Floralab+ project (EFA024/01).
DOI: 10.18150/ykbdjq
title: Material properties of CFRP composite

description: W pliku przedstawiono informacje dotyczące określenia właściwości materiałowych dla materiału kompozytowego CFRP wykorzystanego do badań. Wyznaczono właściwości materiałowe dla różnych temperatur. Dane przedstawiono w formie tabelarycznej i w formie wykresów. Dane dotyczą materiału kompozytowego wyprodukowanego na potrzeby projektu NCN (OPUS) nr 2022/47/B/ST8/00600, którego celem jest analiza stateczności i stanów pokrytycznych ściskanych elementów kompozytowych o różnych kształtach przekroju poprzecznego, wykonanych z kompozytów włóknistych w układzie niesymetrycznym, a także zbadanie wpływu sprzężeń mechanicznych na zachowanie tego typu struktur w stanie krytycznym, pokrytycznym i w fazie zniszczenia.
DOI: 10.15468/dl.j79e75
title: Occurrence Download

description: A dataset containing 2857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "Month is one of (January, December, November, October)",
 "TaxonKey is Ciconia ciconia (Linnaeus, 1758)",
 "Year 2004-2008"
 ]
}

 The dataset includes 2857 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016505-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pvt5q
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerococcus deklei Kosztarab & Vest, 1966",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016507-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2qmtp
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "Month is one of (January, December, November, October)",
 "TaxonKey is Ciconia ciconia (Linnaeus, 1758)",
 "Year 1999-2003"
 ]
}

 The dataset includes 168 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016508-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15050151
title: Evaluating spatiotemporal variations in landslide susceptibility in northwest Vietnam

description: Dataset for manuscript 'Evaluating spatiotemporal variations in landslide susceptibility in northwest Vietnam'
DOI: 10.5281/zenodo.15050152
title: Evaluating spatiotemporal variations in landslide susceptibility in northwest Vietnam

description: Dataset for manuscript 'Evaluating spatiotemporal variations in landslide susceptibility in northwest Vietnam'
DOI: 10.5281/zenodo.15050177
title: water temperature and forcing data in BLH-A Lake
DOI: 10.5281/zenodo.15050178
title: water temperature and forcing data in BLH-A Lake
DOI: 10.15468/dl.n2nxa7
title: Occurrence Download

description: A dataset containing 3386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pollenia labialis Robineau-Desvoidy, 1863",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3386 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016510-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnq0bu
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Protea decurrens E.Phillips"
 ]
}

 The dataset includes 74 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047653-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.