cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w2xgj3
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium hoppeanum Froel., 1838"
 ]
}

 The dataset includes 158 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219376-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aevyga
title: Occurrence Download

description: A dataset containing 2274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Melissodes bimaculatus (Lepeletier, 1825)"
 ]
}

 The dataset includes 2274 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285896-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfptqd
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pityogenes quadridens Wood & Bright, 1992",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0393660-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hai42e
title: Occurrence Download

description: A dataset containing 10480 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ameiurus nebulosus (Lesueur, 1819)"
 ]
}

 The dataset includes 10480 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006411-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqjbws
title: Occurrence Download

description: A dataset containing 54308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Ulex europaeus L."
 ]
}

 The dataset includes 54308 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275357-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/8567494
title: Egypt Gold Prices | Daily Updated
DOI: 10.15468/dl.a75fnk
title: Occurrence Download

description: A dataset containing 51147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((4.625 51.725,4.675 51.725,4.675 51.775,4.625 51.775,4.625 51.725))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 51147 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305167-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mh4ugg
title: Occurrence Download

description: A dataset containing 1146 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((-54.97559 -26.11599,-47.50488 -26.11599,-47.50488 -19.72534,-54.97559 -19.72534,-54.97559 -26.11599))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Reptilia",
 "Year 2011-2021"
 ]
}

 The dataset includes 1146 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301794-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55tqvc
title: Occurrence Download

description: A dataset listing the 22494 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "PublishingOrg is 64ee55c9-570a-42af-b7da-3f13c6b4e5a9"
 ]
}

 The dataset's 22494 records were derived from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225651-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pds9uw
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balaenoptera brydei Olsen, 1913"
 ]
}

 The dataset includes 116 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238439-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52x6ky
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudotrimezia gracilis Chukr"
 ]
}

 The dataset includes 23 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285915-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwqay9
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leionema nudum (Hook.) Paul G.Wilson"
 ]
}

 The dataset includes 276 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282376-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efeq2j
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea melitensis",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 132 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028866-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2909/689f3a97-9ec0-466c-8fa2-64152a25d8b1
title: Reference Land Cover in Salonga 2016-2018 (vector) - version 1, January 2018

description: This metadata refers to the Land Cover vector data generated over Salonga (Africa) for 2016 in the framework of the Copernicus Global Land Hot Spot Mapping (C-GL-HSM) contract under the coordination of JRC. 
This area of interest is either mapped with the generic 8 classes dichotomus legend (CAF_07_lc_a) or the detailed modular legend (CAF_07_lc_b).

The mapped area of interest (AOI) represents a Key Landscape for Conservation area (KLC). The KLC has a total size of 6,5 million ha (65,000 km²) and is situated at the heart of the central basin of the Congo River in Democratic Republic of the Congo. The Salonga National Park (also UNESCO World heritage site) within the KLC has been established in 1984 and is divided into a northern and a southern sector of approximately equal size, separated by an unprotected space approximately 50 km wide.

Reference time: 2016 - 2018
DOI: 10.6084/m9.figshare.29618399
title: Landslide detection

description: The data that support the findings of this study are available through the Institute of Advanced Research in Artificial Intelligence. When you use it for non-commercial purposes, you can refer to the following format for citation: Ghorbanzadeh, O., Xu, Y., Ghamisi, P., Kopp, M., Kreil, D., 2022b. Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. IEEE Trans. Geosci. Remote. Sens. 60, 1-17.
DOI: 10.6084/m9.figshare.29618399.v3
title: Landslide detection

description: The data that support the findings of this study are available through the Institute of Advanced Research in Artificial Intelligence. When you use it for non-commercial purposes, you can refer to the following format for citation: Ghorbanzadeh, O., Xu, Y., Ghamisi, P., Kopp, M., Kreil, D., 2022b. Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. IEEE Trans. Geosci. Remote. Sens. 60, 1-17.
DOI: 10.6084/m9.figshare.29618399.v2
title: Landslide4Sense

description: The data that support the findings of this study are available through the Institute of Advanced Research in Artificial Intelligence. When you use it for non-commercial purposes, you can refer to the following format for citation: Ghorbanzadeh, O., Xu, Y., Ghamisi, P., Kopp, M., Kreil, D., 2022b. Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. IEEE Trans. Geosci. Remote. Sens. 60, 1-17.
DOI: 10.17632/2dw7bvmf79
title: Hydrokinetic Turbine Design Analysis

description: Design details of the turbine blade with chord and twist variations used in the simulation(R_vs_CL_and_Twist)
Obtained Y plus variations for simulations (y_plus_final_exc)
Input data used for simuations (Calculation - Design)
DOI: 10.17632/2dw7bvmf79.1
title: Hydrokinetic Turbine Design Analysis

description: Design details of the turbine blade with chord and twist variations used in the simulation(R_vs_CL_and_Twist)
Obtained Y plus variations for simulations (y_plus_final_exc)
Input data used for simuations (Calculation - Design)
DOI: 10.15468/dl.s4ypjy
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea melitensis",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028867-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2909/5eaed47e-1cf1-476b-9e4a-ec21e7005352
title: Reference Land Cover in Tai-Sapo 2015-2018 (vector) - version 1, October 2018

description: This metadata refers to the Land Cover vector data generated over Tai-Sapo (Africa) for 2016 in the framework of the Copernicus Global Land Hot Spot Mapping (C-GL-HSM) contract under the coordination of JRC. 
This area of interest is either mapped with the generic 8 classes dichotomus legend (WAF_10_lc_a) or the detailed modular legend (WAF_10_lc_b).

The mapped area of interest (AOI) represents a Key Landscape for Conservation area (KLC). The KLC has a total size of 4 million ha (40,000 km²) and is situated at the boundary between Ivory Coast and Liberia. It includes two National Parks: Tai National Park (3,300 km²) in Ivory Coast and Sapo National Park (1,804 km²) in Liberia.

Reference time: 2015 - 2018
DOI: 10.15468/dl.vfj5n5
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea melitensis",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 375 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028868-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3kw5zkgrb7.1
title: Supplement table_IFN-gamma

description: Supplement table for manuscript "The Prognostic Role of Reactive Dermatoses in Anti-Interferon-γ Autoantibody Patients: A Retrospective Cohort Study "
DOI: 10.15468/dl.rvrzqa
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rorippa anceps",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 124 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028869-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2909/c680ff58-b9ce-4b8d-a456-4d1a99ac63c8
title: Reference Land Cover in Timor Leste 2016-2018 (vector) - version 1, June 2020

description: This metadata refers to the Land Cover vector data generated over Timor Leste or East Timor (Southeast Asian) for 2016 in the framework of the Copernicus Global Land Hot Spot Mapping (C-GL-HSM) contract under the coordination of JRC. 
This area of interest is either mapped with the generic 8 classes dichotomus legend (PAC_01_lc_a) or the detailed modular legend (PAC_01_lc_b).

The mapped area of interest (AOI) represents a Key Landscape for Conservation area (KLC). Timor Leste represent the eastern part of the Timor Island, located in between southeast Asia and Oceania and is part of maritime southeast Asia. The country has a size of about 15,000 km² and is among the five newest countries in the World, gaining independence from Indonesia in 2002.

The geography is characterised by a predominantly mountainous landscape (with the highest peak reaching nearly 3000 m) and the climate is tropical and generally hot and humid. According to Protected Planet, the country has 46 protected areas from which only one represents a National Park. The Nino Konis Santana National Park, Timor Leste’s first National Park, was established in 2008 and covers the entire eastern end of the island and has a size of 716 km².

Reference time: 2016 - 2018
DOI: 10.15468/dl.er3kj3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus norvegicus",
 "Country is North Macedonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028871-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muu6sk
title: Occurrence Download

description: A dataset containing 112195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Gyps africanus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 112195 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028841-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3m6g5p
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Varicorhinus tungting"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028872-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9au6j
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-21.32541 64.42911,-21.33651 64.01668,-20.83228 64.08088,-20.85865 64.3817,-21.32541 64.42911))",
 "HasCoordinate is true",
 "TaxonKey is Dactylorhiza maculata",
 "Year 2023-2025"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028873-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gv28xhykxp
title: Real Exchange Rate and Net Trade Dynamics: Financial and Trade Shocks

description: Replication files for Marcos Mac Mullen and Soo Kyung Woo, "Real Exchange Rate and Net Trade Dynamics: Financial and Trade Shocks"
DOI: 10.17632/gv28xhykxp.1
title: Real Exchange Rate and Net Trade Dynamics: Financial and Trade Shocks

description: Replication files for Marcos Mac Mullen and Soo Kyung Woo, "Real Exchange Rate and Net Trade Dynamics: Financial and Trade Shocks"
DOI: 10.2909/03c3e86e-d98e-4ec6-b01d-905885ef249e
title: Reference Land Cover in WAPOK 2017-2019 (vector) - version 1, April 2020

description: This metadata refers to the Land Cover vector data generated over WAPOK (Africa) for 2017 in the framework of the Copernicus Global Land Hot Spot Mapping (C-GL-HSM) contract under the coordination of JRC. 
This area of interest is either mapped with the generic 8 classes dichotomus legend (WAF_04_lc_a) or the detailed modular legend (WAF_04_lc_b).

The mapped area of interest (AOI) represents a Key Landscape for Conservation area (KLC). This transboundary KLC has a total size of almost 5.8 million ha (58,000 km²) and is situated between the countries of Ghana, Togo, Benin, Burkina Faso, and Niger. It includes several areas under protection grouped under the W-Arly-Pendjari Complex (WAPOK). The Oti-Kéran National Park and Oti-Mandouri fauna reserve in Togo are not directly part of the WAPOK Complex, however an existing plan is to integrate the Oti-Kéran / Oti-Mandouri Complex (OKM) with the WAPOK Complex in the context of ecosystems transboundary management.

Reference time: 2017 - 2019
DOI: 10.18738/t8/fowh5k
title: Data published in "Chlorine-initiated oxidation of limonene under simulated indoor and outdoor lighting conditions"

description: Data published in the manuscript's figures
DOI: 10.5281/zenodo.14060919
title: Turkish Political Fake News Dataset (TPFND)

description: The Turkish Political Fake News Dataset (TPFND) presented in this repository was developed as part of the doctoral dissertation.

This repository contains the following components:





Original TPFND: The Turkish Political Fake News Dataset (TPFND) is a meticulously curated dataset developed to address the scarcity of high-quality Turkish political fake news data. The dataset reflects the real-world class imbalance, with 2,308 instances (25%) of verified political fake news and 6,922 instances (75%) of factual political news. The classification of fake news is grounded in evidence from reputable Turkish fact-checking organizations, ensuring the dataset's credibility and reliability.




Augmented TPFND: To mitigate the inherent class imbalance in the original TPFND, this repository includes an augmented version of the dataset. The augmentation process employed a large language model (LLM), specifically the Turkish LLaMA-3 8B model, to generate synthetic samples of Turkish political fake news. This approach effectively increased the representation of the minority class, raising the proportion of fake news instances from 25% to 40% within the augmented dataset.




Synthetic Data: The synthetic data generated by the LLM is also provided in this repository. This synthetic data was carefully calibrated to closely mimic the characteristics and nuances of the original fake news samples, ensuring the integrity and authenticity of the augmented dataset.



The TPFND and its augmented version, along with the synthetic data, serve as valuable resources for researchers and practitioners working on fake news detection, particularly in the Turkish context. The dataset's rigorous development, the incorporation of LLM-generated synthetic data, and the addressing of class imbalance issues make this repository a significant contribution to the field of Turkish political fake news research.

Researchers can leverage this dataset and the accompanying synthetic data to develop and evaluate advanced machine learning models for fake news detection. The availability of a controlled, high-quality dataset, coupled with the synthetic data, enables the exploration of novel techniques to enhance the accuracy and robustness of fake news detection, ultimately supporting the fight against the spread of fake news in the digital age.
DOI: 10.5281/zenodo.14060920
title: Turkish Political Fake News Dataset (TPFND)

description: The Turkish Political Fake News Dataset (TPFND) presented in this repository was developed as part of the doctoral dissertation.

This repository contains the following components:





Original TPFND: The Turkish Political Fake News Dataset (TPFND) is a meticulously curated dataset developed to address the scarcity of high-quality Turkish political fake news data. The dataset reflects the real-world class imbalance, with 2,308 instances (25%) of verified political fake news and 6,922 instances (75%) of factual political news. The classification of fake news is grounded in evidence from reputable Turkish fact-checking organizations, ensuring the dataset's credibility and reliability.




Augmented TPFND: To mitigate the inherent class imbalance in the original TPFND, this repository includes an augmented version of the dataset. The augmentation process employed a large language model (LLM), specifically the Turkish LLaMA-3 8B model, to generate synthetic samples of Turkish political fake news. This approach effectively increased the representation of the minority class, raising the proportion of fake news instances from 25% to 40% within the augmented dataset.




Synthetic Data: The synthetic data generated by the LLM is also provided in this repository. This synthetic data was carefully calibrated to closely mimic the characteristics and nuances of the original fake news samples, ensuring the integrity and authenticity of the augmented dataset.



The TPFND and its augmented version, along with the synthetic data, serve as valuable resources for researchers and practitioners working on fake news detection, particularly in the Turkish context. The dataset's rigorous development, the incorporation of LLM-generated synthetic data, and the addressing of class imbalance issues make this repository a significant contribution to the field of Turkish political fake news research.

Researchers can leverage this dataset and the accompanying synthetic data to develop and evaluate advanced machine learning models for fake news detection. The availability of a controlled, high-quality dataset, coupled with the synthetic data, enables the exploration of novel techniques to enhance the accuracy and robustness of fake news detection, ultimately supporting the fight against the spread of fake news in the digital age.