cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/26956f94vz.1
title: RT-PCR (Gene Expression Profiling of Key Oncogenes and Tumor Suppressor Genes in Leukemia)

description: This study investigates the expression profiles of key oncogenes (FLT3, MYC, CXCR4, KIT) and tumor suppressor genes (TP53, RUNX1, BCR-ABL1) in leukemia patients compared to healthy controls. Using RT-qPCR, significant dysregulation of these genes was observed, highlighting their potential roles in leukemia progression. The findings suggest these genes as promising biomarkers for early diagnosis and therapeutic targets. Statistical analysis revealed significant correlations between specific genes, providing insights into their interactions in leukemia. This research contributes to understanding the molecular mechanisms of leukemia and supports the development of targeted therapies for improved patient outcomes.
DOI: 10.17632/rvdcsj78j8.1
title: Carboniferous – Permain Kinta Limestone Pinnacles, Kampar, Perak, Malaysia

description: This dataset documents the Paleozoic Carboniferous - Permain Kinta Limestone Pinnacles in Kampar, Perak, Malaysia, preserving a geological record of a now-demolished carbonate formation. It includes sedimentary logs, facies descriptions, fossil records, petrographic images, and X-ray diffraction (XRD) analysis results, enabling in-depth studies on carbonate depositional environments, diagenetic processes, and fossil assemblages. A total of 27 pinnacles were mapped and digitized using ArcGIS, with seven correlatable pinnacles selected for detailed sedimentary logging (1:10 scale). Key attributes recorded include lithology, sedimentary structures, texture, fossil content, and diagenetic indicators, classified into five distinct facies. Hand samples were analyzed using XRD to determine mineralogical composition. Given the extensive recrystallization of the limestone, thin-section observations were challenging. Fossils including fusulinids, corals, and brachiopods were documented through macro-photography for further identification. This dataset is valuable for paleoenvironmental reconstructions and comparative carbonate studies, ensuring continued access to critical geological information despite the loss of the physical site.
DOI: 10.17632/gnhz6g9vmh.1
title: Cuidado de enfermería-desenlaces en UCI adultos

description: La base de datos incorpora variables sociodemográficas y de salud de pacientes adultos de UCI relacionadas con eventos adversos, mortalidad y tiempo de estancia, presenta la probabilidad de muerte al inicio de la hospitalización según SAPS-3 y algunos indicadores de la carga de trabajo de enfermería como el TISS-28.
DOI: 10.17632/67wfzrgx87.1
title: Faculty Members' Acceptance of AI-Based LMS for Digital Knowledge Management in Jordanian Universities

description: Survey Data on Faculty Acceptance of AI-Based LMS in Jordanian Universities
DOI: 10.17632/pwkvwht63j.1
title: Paired-field evaluation of a saturated buffer reveals significant water-quality benefit through upstream weir management

description: This is the dataset for the paper entitled "Paired-field evaluation of a saturated buffer reveals significant water-quality benefit through upstream weir management"
DOI: 10.17632/5d4vh4bnv3.1
title: Implementação de estratégias para reduzir o risco de transmissão da COVID-19 em um hospital psiquiátrico e avaliação dos casos confirmados no período de 2020 a 2022

description: Implementação de estratégias para reduzir o risco de transmissão da COVID-19 em um hospital psiquiátrico e avaliação dos casos confirmados no período de 2020 a 2022
DOI: 10.17632/js6s9w742h.1
title: An innovative tool for measuring sunlight propagation through different snowpacks

description: Springtime measurement were performed on different sites in Western Italian Alps (Testa Grigia, Cime Bianche, Pt. Helbronner) and in Svalbard archipelago (Ny-Alesund, Edithbreen glacier). Filedworks were carried out over two years, between April 2022 and March 2023. Key sites at different elevations were selected to study various snow conditions. Fieldwork also included snow pits and a detailed stratigraphic analysis of snow layers. For more information contact Luca Teruzzi by email.
DOI: 10.17632/s6bk9872jr
title: Data for Fe(II)-Catalyzed Transformation of Pb/Cr sorbed Ferrihydrite

description: The data encompasses X-ray Diffraction (XRD), Thermogravimetric Analysis (TGA), Fe/Cr K-edge X-ray Absorption Fine Structure (XAFS), solution chemistry insights, and acid treatment results for both pristine ferrihydrite (with and without Pb/Cr sorption) as well as ferrihydrite that has undergone reaction with dissolved Fe(II).
DOI: 10.17632/s6bk9872jr.1
title: Data for Fe(II)-Catalyzed Transformation of Pb/Cr sorbed Ferrihydrite

description: The data encompasses X-ray Diffraction (XRD), Thermogravimetric Analysis (TGA), Fe/Cr K-edge X-ray Absorption Fine Structure (XAFS), solution chemistry insights, and acid treatment results for both pristine ferrihydrite (with and without Pb/Cr sorption) as well as ferrihydrite that has undergone reaction with dissolved Fe(II).
DOI: 10.17632/dxp7p66gv3.1
title: Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing dataset

description: This dataset comprises Landsat-based fire severity data collected from the Iberian Peninsula, Ground-Truth Fires, and Sierra de Gredos, as detailed in the paper titled "Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing." The dataset includes GeoJSON files representing 30 m by 30 m pixels, containing data on pre- and post-fire NBR, NIR, SWIR2, sensing times, Relativized Burned Ratio, optimality values, fire year, ecoregion, and the vegetation types affected by the fire. Pre-fire vegetation information was derived from Land Use-Land Cover maps provided by the CORINE project.

General Information:

Dataset Name: Fire Severity Data for Iberian Peninsula, Ground-Truth Fires, and Sierra de Gredos
Creator: Universidad de Castilla La Mancha / Natalia Quintero, Olga Viedma, Sander Veraverbeke, José Manuel Moreno
Date of Collection: 2000-2023
Data Format: GeoJSON, CSV
Additional Information:
For a detailed explanation of the methodology, data collection process, and the significance of each attribute, please refer to the associated research paper titled "Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing." The paper provides comprehensive insights into the study's objectives, data processing techniques, and the application of these datasets in fire severity mapping across the Iberian Peninsula, Ground-Truth Fires, and Sierra de Gredos.
DOI: 10.17632/dxp7p66gv3.2
title: Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing dataset

description: This dataset comprises Landsat-based fire severity data collected from the Iberian Peninsula, Ground-Truth Fires, and Sierra de Gredos (West-Central Spain), as detailed in the paper titled "Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing." The dataset includes GeoJSON files representing 30 m by 30 m pixels, containing data on pre- and post-fire NBR, NIR, SWIR2, sensing times, Relativized Burned Ratio, optimality values, fire year, ecoregion, and the vegetation types affected by the fire. Pre-fire vegetation information was derived from Land Use-Land Cover maps provided by the CORINE project.

General Information:

Dataset Name: Fire Severity Data for Iberian Peninsula, Ground-Truth Fires, and Sierra de Gredos
Creator: Universidad de Castilla La Mancha / Natalia Quintero, Olga Viedma, Sander Veraverbeke, José Manuel Moreno
Date of Collection: 2000-2023
Data Format: GeoJSON, CSV
Additional Information:
For a detailed explanation of the methodology, data collection process, and the significance of each attribute, please refer to the associated research paper titled "Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing." The paper provides comprehensive insights into the study's objectives, data processing techniques, and the application of these datasets in fire severity mapping across the Iberian Peninsula, Ground-Truth Fires, and Sierra de Gredos.
DOI: 10.17632/dxp7p66gv3.3
title: Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing dataset

description: This dataset comprises Landsat-based fire severity data collected for large forest fires (&gt;100 ha) that occurred during the summer in the Iberian Peninsula from 2000 to 2023. It also includes historically validated fires in the Mediterranean region of Sierra de Gredos, West Central Spain, based on the Spanish General Fire Statistics (EGIF), covering the period from 1985 to 2015. Additionally, the dataset contains fire severity data for two ground-truthed fires, utilizing available Composite Burn Index (CBI) data as detailed in the paper titled "Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing." 
The dataset includes: 

CBI Data: Ground-truthed severity data for specific fires.
GeoJSON files representing 30 m by 30 m pixels, containing:
Pre- and post-fire Normalized Burn Ratio (NBR)
Near-Infrared (NIR) Band
Short-Wave Infrared 2 (SWIR2) Band
Sensing Times
Relativized Burned Ratio (RBR)
Optimality Values
Fire Year
Ecoregion
Vegetation Types Affected by the Fire
Pre-fire vegetation information was derived from Land Use-Land Cover maps provided by the CORINE project.

General Information:
Creator: Universidad de Castilla La Mancha / Natalia Quintero, Olga Viedma, Sander Veraverbeke, José Manuel Moreno
Date of Collection: 2000-2023
Data Format: GeoJSON, CSV
Additional Information:
For a detailed explanation of the methodology, data collection process, and the significance of each attribute, please refer to the associated research paper titled "Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing." The paper provides comprehensive insights into the study's objectives and data processing techniques.
DOI: 10.17632/dxp7p66gv3.4
title: Optimising fire severity mapping using pixel-based image compositing dataset

description: This dataset comprises Landsat-based fire severity data collected for large forest fires (&gt;100 ha) that occurred during the summer in the Iberian Peninsula from 2000 to 2023. It also includes historically validated fires in the Mediterranean region of Sierra de Gredos, West Central Spain, based on the Spanish General Fire Statistics (EGIF), covering the period from 1985 to 2015. Additionally, the dataset contains fire severity data for two ground-truthed fires, utilizing available Composite Burn Index (CBI) data as detailed in the paper titled "Optimising fire severity mapping using pixel-based image compositing." 
The dataset includes: 

CBI Data: Ground-validated severity data for specific fires.
GeoJSON files representing 30 m by 30 m pixels, containing:
Pre- and post-fire Normalized Burn Ratio (NBR)
Near-Infrared (NIR) Band
Short-Wave Infrared 2 (SWIR2) Band
Sensing Times
Relativized Burned Ratio (RBR)
Optimality Values
Fire Year
Ecoregion
Vegetation Types Affected by the Fire
Pre-fire vegetation information was derived from Land Use-Land Cover maps provided by the CORINE project.

General Information:
Creator: Universidad de Castilla La Mancha / Natalia Quintero, Olga Viedma, Sander Veraverbeke, José Manuel Moreno
Date of Collection: 2000-2023
Data Format: GeoJSON, CSV
Additional Information:
For a detailed explanation of the methodology, data collection process, and the significance of each attribute, please refer to the associated research paper titled "Optimising fire severity mapping using pixel-based image compositing." The paper provides comprehensive insights into the study's objectives and data processing techniques.
DOI: 10.5281/zenodo.14955104
title: Geostationary Ozone Observations from the FengYun-4B Geostationary Interferometric Infrared Sounder (FY-4B/GIIRS)

description: This dataset contains Ozone data retrieved from the Geostationary Interferometric Infrared Sounder (GIIRS), on board China’s FengYun-4B satellite (FY-4B/GIIRS) launched in 2021.  The 4-month datasets cover December 2022 and March, June and September 2023. The associated preprint is: http://dx.doi.org/10.22541/essoar.172462432.29279508/v1. Note that due to size limit for uploading, averaging kernel information is not included in this dataset. A full dataset with averaging kernel is available for sharing if you need it. Please contact us (Z.-C. Zeng at zczeng@pku.edu.cn and S. Liu at shangyi_liu@stu.pku.edu.cn) for detailed data information and the most updated version if you have interests in using the data.
DOI: 10.5281/zenodo.14955105
title: Geostationary Ozone Observations from the FengYun-4B Geostationary Interferometric Infrared Sounder (FY-4B/GIIRS)

description: This dataset contains Ozone data retrieved from the Geostationary Interferometric Infrared Sounder (GIIRS), on board China’s FengYun-4B satellite (FY-4B/GIIRS) launched in 2021.  The 4-month datasets cover December 2022 and March, June and September 2023. The associated preprint is: http://dx.doi.org/10.22541/essoar.172462432.29279508/v1. Note that due to size limit for uploading, averaging kernel information is not included in this dataset. A full dataset with averaging kernel is available for sharing if you need it. Please contact us (Z.-C. Zeng at zczeng@pku.edu.cn and S. Liu at shangyi_liu@stu.pku.edu.cn) for detailed data information and the most updated version if you have interests in using the data.
DOI: 10.15468/dl.5nnxzw
title: Occurrence Download

description: A dataset containing 3355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Themeda quadrivalvis (L.) Kuntze)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3355 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003150-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bn5wf
title: Occurrence Download

description: A dataset containing 1934 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mimetus Hentz, 1832"
 ]
}

 The dataset includes 1934 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003087-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8g4dk2
title: Occurrence Download

description: A dataset containing 108534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-138.77159 10.50664,-65.40927 10.50664,-65.40927 39.85157,-138.77159 39.85157,-138.77159 10.50664))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cathorops Jordan & Gilbert, 1883"
 ]
}

 The dataset includes 108534 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003145-250227182430271/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.28520375
title: MRI-ESM2-0 IVT

description: MRI-ESM2-0 IVT
DOI: 10.15468/dl.azzdxz
title: Occurrence Download

description: A dataset containing 58022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX",
 "TaxonKey is Corvus corax Linnaeus, 1758"
 ]
}

 The dataset includes 58022 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003081-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vmuq5
title: Occurrence Download

description: A dataset containing 9728 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Birds of Ireland"
 ]
}

 The dataset includes 9728 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003151-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctvb4s
title: Occurrence Download

description: A dataset containing 9728 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Birds of Ireland"
 ]
}

 The dataset includes 9728 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003091-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rp2jeb
title: Occurrence Download

description: A dataset containing 49979603 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asteraceae"
 ]
}

 The dataset includes 49979603 records from 9255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003084-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive9939.20241212.9.2
title: Myxococcus virescens Thaxter 1892 emend. Lang et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive9939.20251217.10
title: Myxococcus virescens Thaxter 1892 emend. Lang et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0077968.10fu
title: SH0077968.10FU

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: 10.13145/bacdive9940.20241212.9.2
title: Myxococcus virescens Thaxter 1892 emend. Lang et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive9940.20251217.10
title: Myxococcus virescens Thaxter 1892 emend. Lang et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0077969.10fu
title: SH0077969.10FU

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: 10.13145/bacdive9941.20241212.9.2
title: Myxococcus virescens Thaxter 1892 emend. Lang et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive9941.20251217.10
title: Myxococcus virescens Thaxter 1892 emend. Lang et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0077970.10fu
title: SH0077970.10FU

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: 10.13145/bacdive9942.20241212.9.2
title: Myxococcus virescens Thaxter 1892 emend. Lang et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive9942.20251217.10
title: Myxococcus virescens Thaxter 1892 emend. Lang et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0077971.10fu
title: SH0077971.10FU

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.