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

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryctolagus cuniculus",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018916-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5hx6rhwkx6.1
title: Google Results merged

description: Indexed page count extracted from Google's main search engine. The number of indexed pages was retrieved monthly for the keywords "Hamrah-e-Aval " and "Irancell" from 2014–2024.
DOI: 10.17632/mkf3rh7bx5
title: Revisiting NH₄⁺–Na⁺ cation exchange selectivity on smectites: Implications for ammonium/ammonia distribution and speciation in icy planetesimals, Ceres, and Enceladus

description: Data for an experimental dataset for the cation exchange reaction of NH₄⁺ on Na smectites (montmorillonite and saponite) and the results of speciation modeling using the determined selectivity coefficients.
DOI: 10.17632/mkf3rh7bx5.2
title: Revisiting NH₄⁺–Na⁺ cation exchange selectivity on smectites: Implications for ammonium/ammonia distribution and speciation in icy planetesimals, Ceres, and Enceladus

description: Data for an experimental dataset for the cation exchange reaction of NH₄⁺ on Na smectites (montmorillonite and saponite) and the results of speciation modeling using the determined selectivity coefficients.
DOI: 10.17632/hw9db54md3
title: Multitemporal Mapping and Climatic Background of Xinjiang Plain Lakes During the Past 120 Years

description: This dataset contains multi-temporal lake vector data (ESRI shapefiles) representing the spatial extent of plain lakes in Xinjiang, China, from 1900 to 2020. The lake polygons were reconstructed by integrating historical military and topographic maps (pre-1970s) and Landsat-based China Lake Dataset (post-1970s), providing centennial-scale insights into lake area dynamics and geomorphological evolution in arid inland basins.
The dataset includes shapefiles for the following years: 1900, 1920, 1935, 1950, 1964, 1970, 1990, 1995, 2000, 2005, 2010, 2015, and 2020. Each file contains lake polygon features and related attribute information and is compatible with standard GIS software .
This data can be used to explore lake–climate–human interactions, hydrological changes, and water resource dynamics in arid regions over the past century. The background climatic and socioeconomic datasets are cited and linked in the manuscript and are not included here.
DOI: 10.15468/dl.9tk9b8
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hesperis ozcelikii"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018917-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hw9db54md3.1
title: Multitemporal Mapping and Climatic Background of Xinjiang Plain Lakes During the Past 120 Years

description: This dataset contains multi-temporal lake vector data (ESRI shapefiles) representing the spatial extent of plain lakes in Xinjiang, China, from 1900 to 2020. The lake polygons were reconstructed by integrating historical military and topographic maps (pre-1970s) and Landsat-based China Lake Dataset (post-1970s), providing centennial-scale insights into lake area dynamics and geomorphological evolution in arid inland basins.
The dataset includes shapefiles for the following years: 1900, 1920, 1935, 1950, 1964, 1970, 1990, 1995, 2000, 2005, 2010, 2015, and 2020. Each file contains lake polygon features and related attribute information and is compatible with standard GIS software .
This data can be used to explore lake–climate–human interactions, hydrological changes, and water resource dynamics in arid regions over the past century. The background climatic and socioeconomic datasets are cited and linked in the manuscript and are not included here.
DOI: 10.17632/mvcbj5hvbz
title: supporting figures

description: The supporting figures related to the manuscript on microplastic distribution and characteristics in India's different coastal and estuarine ecosystems. For the conciseness of the manuscript, supporting figures are added here instead of the main manuscript. Anyone can access the figures for detailed knowledge about data distribution.
DOI: 10.17632/mvcbj5hvbz.3
title: supporting figures

description: The supporting figures related to the manuscript on microplastic distribution and characteristics in India's different coastal and estuarine ecosystems. For the conciseness of the manuscript, supporting figures are added here instead of the main manuscript. Anyone can access the figures for detailed knowledge about data distribution.
DOI: 10.15468/dl.8gnu76
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018915-250711103210423/datasets/export for details.
DOI: 10.17632/2sx8gs67b7
title: Raw Data for Nonlinear Relationship Between Early Postoperative Pulse Pressure Variation and Acute Kidney Injury Risk in Elderly Cardiac Surgical Patients

description: This dataset supports the study titled "Nonlinear Relationship Between Early Postoperative Pulse Pressure Variation and Acute Kidney Injury Risk in Elderly Cardiac Surgical Patients". It includes two cohorts derived from the MIMIC-IV and MIMIC-III databases, which are publicly available, de-identified critical care datasets maintained by the Massachusetts Institute of Technology.
The primary dataset was extracted from MIMIC-IV, containing ICU admissions between 2008 and 2019 at Beth Israel Deaconess Medical Center. Patients included were aged ≥ 60 years and underwent cardiac thoracotomy surgery. Data include demographic variables, comorbidities, vital signs, laboratory test results, hemodynamic variables such as pulse pressure variation (PPV), vasopressor use, and AKI status based on KDIGO criteria.
The validation dataset was extracted from MIMIC-III, which includes ICU admissions from 2001 to 2012 at the same institution. Similar variables were collected and harmonized to match those in the MIMIC-IV cohort.
The purpose of the dataset is to explore the association between early PPV (within 12 and 24 hours after ICU admission) and the risk of postoperative acute kidney injury (AKI) in elderly patients undergoing cardiac surgery.
The data were extracted using Structured Query Language (SQL), cleaned and processed in R (version 4.4.3). Variables with more than 20% missing data were excluded. Only complete cases were used in the final analysis.
Access to the MIMIC databases was obtained after completion of human subjects research training and PhysioNet credentialing (Certification Number: 13567919). The dataset shared here has been further de-identified to ensure privacy compliance.
DOI: 10.17632/2sx8gs67b7.1
title: Raw Data for Nonlinear Relationship Between Early Postoperative Pulse Pressure Variation and Acute Kidney Injury Risk in Elderly Cardiac Surgical Patients

description: This dataset supports the study titled "Nonlinear Relationship Between Early Postoperative Pulse Pressure Variation and Acute Kidney Injury Risk in Elderly Cardiac Surgical Patients". It includes two cohorts derived from the MIMIC-IV and MIMIC-III databases, which are publicly available, de-identified critical care datasets maintained by the Massachusetts Institute of Technology.
The primary dataset was extracted from MIMIC-IV, containing ICU admissions between 2008 and 2019 at Beth Israel Deaconess Medical Center. Patients included were aged ≥ 60 years and underwent cardiac thoracotomy surgery. Data include demographic variables, comorbidities, vital signs, laboratory test results, hemodynamic variables such as pulse pressure variation (PPV), vasopressor use, and AKI status based on KDIGO criteria.
The validation dataset was extracted from MIMIC-III, which includes ICU admissions from 2001 to 2012 at the same institution. Similar variables were collected and harmonized to match those in the MIMIC-IV cohort.
The purpose of the dataset is to explore the association between early PPV (within 12 and 24 hours after ICU admission) and the risk of postoperative acute kidney injury (AKI) in elderly patients undergoing cardiac surgery.
The data were extracted using Structured Query Language (SQL), cleaned and processed in R (version 4.4.3). Variables with more than 20% missing data were excluded. Only complete cases were used in the final analysis.
Access to the MIMIC databases was obtained after completion of human subjects research training and PhysioNet credentialing (Certification Number: 13567919). The dataset shared here has been further de-identified to ensure privacy compliance.
DOI: 10.17632/vttfjc95bc
title: data

description: physicochemical properties
DOI: 10.17632/vttfjc95bc.1
title: data

description: physicochemical properties
DOI: 10.17632/y98j2b9nw3
title: Effectiveness of Tralokinumab for Upadacitinib-Refractory Atopic Dermatitis: 48-week Retrospective Study

description: Supplementary Table 1. Baseline demographic and disease characteristics of patients with atopic dermatitis (n = 24)
DOI: 10.17632/y98j2b9nw3.1
title: Effectiveness of Tralokinumab for Upadacitinib-Refractory Atopic Dermatitis: 48-week Retrospective Study

description: Supplementary Table 1. Baseline demographic and disease characteristics of patients with atopic dermatitis (n = 24)
DOI: 10.15468/dl.66drs2
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-117.10433 -17.04594,-15.12302 -17.04594,-15.12302 23.72912,-117.10433 23.72912,-117.10433 -17.04594))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cochliomyia hominivorax"
 ]
}

 The dataset includes 184 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018918-250711103210423/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.29577242
title: CJDT-Risikoanalyse_verschuldete-GmbHs_DREM-VLI-Technik.pdf

description: Analyse technischer Risikoparameter wie CJDT, DREM und VLI in überschuldeten GmbHs. Der Text beschreibt mögliche semantische Klassifikationen bei juristisch unscharfer Haftungslage und zeigt Handlungsmöglichkeiten für betroffene Geschäftsführer auf.
DOI: 10.6084/m9.figshare.29577242.v1
title: CJDT-Risikoanalyse_verschuldete-GmbHs_DREM-VLI-Technik.pdf

description: Analyse technischer Risikoparameter wie CJDT, DREM und VLI in überschuldeten GmbHs. Der Text beschreibt mögliche semantische Klassifikationen bei juristisch unscharfer Haftungslage und zeigt Handlungsmöglichkeiten für betroffene Geschäftsführer auf.
DOI: 10.17632/3t8cjhbnpj
title: Datasets for HP Raman+IR_eFeOOH

description: Datasets for high-pressure IR, Raman, and synchrotron data of eFeOOH
DOI: 10.17632/3t8cjhbnpj.1
title: Datasets for HP Raman+IR_eFeOOH

description: Datasets for high-pressure IR, Raman, and synchrotron data of eFeOOH
DOI: 10.17632/knybcm4vgx
title: Artificial Intelligence in Human Resource Management Systems: A Catalyst for Business and Economic Sustainable Growth

description: Artificial Intelligence in Human Resource Management Systems: A Catalyst for Business and Economic Sustainable Growth Data
DOI: 10.17632/knybcm4vgx.1
title: Artificial Intelligence in Human Resource Management Systems: A Catalyst for Business and Economic Sustainable Growth

description: Artificial Intelligence in Human Resource Management Systems: A Catalyst for Business and Economic Sustainable Growth Data
DOI: 10.15468/dl.9yvz3q
title: Occurrence Download

description: A dataset containing 2024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryctolagus cuniculus",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2024 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018919-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xhgb5xy8f6
title: Semantic Modelling and Ontology Integration Dataset

description: This dataset captures a large-scale, structured compilation of software requirements derived from multiple domains—Non-Functional Requirements (NFR), Healthcare, Automotive, and Financial systems—totaling over 11,800 entries. The first sheet is based on the PROMISE repository's NFR dataset, containing 622 categorized requirements across 11 quality attributes such as performance, security, and usability. Each entry includes confidence scores and keyword annotations from an SREF classifier.

The Healthcare, Automotive, and Financial sheets represent real-world requirements, many extracted or simulated from domain-specific systems. For Healthcare (3456 entries), annotations include type classification, detected issues, and extracted entities. The Automotive sample (4892 entries) integrates ASIL levels and validation status per ISO 26262, while Financial requirements (2847 entries) include priority levels and traceability links.

Supplementary sheets contain a traceability matrix (2145 links) and 699 inconsistencies detected using NLP and ontology tools. A final statistics sheet summarises metrics like average classifier confidence and domain-specific inconsistency counts.

The dataset is ideal for research in requirements classification, traceability, inconsistency detection, and domain adaptation for NLP models in RE.
DOI: 10.17632/xhgb5xy8f6.1
title: Semantic Modelling and Ontology Integration Dataset

description: This dataset captures a large-scale, structured compilation of software requirements derived from multiple domains—Non-Functional Requirements (NFR), Healthcare, Automotive, and Financial systems—totaling over 11,800 entries. The first sheet is based on the PROMISE repository's NFR dataset, containing 622 categorized requirements across 11 quality attributes such as performance, security, and usability. Each entry includes confidence scores and keyword annotations from an SREF classifier.

The Healthcare, Automotive, and Financial sheets represent real-world requirements, many extracted or simulated from domain-specific systems. For Healthcare (3456 entries), annotations include type classification, detected issues, and extracted entities. The Automotive sample (4892 entries) integrates ASIL levels and validation status per ISO 26262, while Financial requirements (2847 entries) include priority levels and traceability links.

Supplementary sheets contain a traceability matrix (2145 links) and 699 inconsistencies detected using NLP and ontology tools. A final statistics sheet summarises metrics like average classifier confidence and domain-specific inconsistency counts.

The dataset is ideal for research in requirements classification, traceability, inconsistency detection, and domain adaptation for NLP models in RE.
DOI: 10.17632/w68hwtb98d.1
title: Code: A general model based on Riemannian manifold for stable decoding continuous hand movement trajectory from ECoG signals in non-human primate

description: This repository contains source code relevant of the manuscript:
A general model based on Riemannian manifold for stable decoding continuous hand movement trajectory from ECoG signals in non-human primate.
Reza Eyvazpour, Behraz Farrokhi, and Abbas Erfanian

Summary:
This study proposes a novel method for decoding continuous 3D hand trajectories from electrocorticographic (ECoG) signals for brain-computer interface (BCI) applications, addressing the challenge of inter-session variability. The approach combines Riemannian geometry-based feature extraction with LSTM-BiLSTM networks to enable transfer learning across sessions. Using ECoG data from five monkeys performing reaching tasks, spatial covariance matrices were computed from ten frequency band powers and mapped onto a Riemannian manifold to extract session-invariant features. These features, along with spectral data, were used to train deep learning models (LSTM-BiLSTM). The proposed method outperformed baseline models using only spectral features, showing enhanced generalization across sessions and supporting the utility of geometric-temporal modeling in BCI development.

For more details and code usage, please refer to the description file.
DOI: 10.17632/t87ns2sxyj.1
title: Replication Codes to “Can Monetary Policy Tame Asset Price Fluctuations? Evaluating the Dynamic Trade-offs”

description: Replication Codes to “Can Monetary Policy Tame Asset Price Fluctuations? Evaluating the Dynamic Trade-offs”
DOI: 10.17632/wcrsy9fs3z
title: hearing_code

description: Cortical aperiodic dynamics in hearing impairments predicts neural tracking of speech
DOI: 10.17632/wcrsy9fs3z.1
title: hearing_code

description: Cortical aperiodic dynamics in hearing impairments predicts neural tracking of speech
DOI: 10.17632/5fsj7nzcn9
title: Iron mineral evolution as an important geobiological driver of deep-time carbon sequestration in coal systems

description: This dataset includes previously published geochemical data from the Yinshan Orogenic Belt, as well as new data on proximate analyses, total sulfur contents, vitrinite random reflectance, microscopic maceral compositions, organic carbon isotope values, and major element concentrations of coal samples. The geochemical data from the Yinshan Orogenic Belt cover Neoarchean granitoids, Neoarchean–Paleoproterozoic granitoids, Paleoproterozoic granitoids, and Paleoproterozoic diorites. The specific sources of these published data are listed in the caption of Figure 4. Together, these datasets provide constraints on the provenance of iron in the Qinshui Basin.
DOI: 10.17632/5fsj7nzcn9.1
title: Iron mineral evolution as an important geobiological driver of deep-time carbon sequestration in coal systems

description: This dataset includes previously published geochemical data from the Yinshan Orogenic Belt, as well as new data on proximate analyses, total sulfur contents, vitrinite random reflectance, microscopic maceral compositions, organic carbon isotope values, and major element concentrations of coal samples. The geochemical data from the Yinshan Orogenic Belt cover Neoarchean granitoids, Neoarchean–Paleoproterozoic granitoids, Paleoproterozoic granitoids, and Paleoproterozoic diorites. The specific sources of these published data are listed in the caption of Figure 4. Together, these datasets provide constraints on the provenance of iron in the Qinshui Basin.
DOI: 10.17632/h73wn2nw56
title: Soil Sight: Remote Sensing-Based Soil Fertility Dataset

description: Traditional soil testing in agricultural regions is often expensive, time-consuming, and lacks spatial coverage. This dataset addresses the need for a high-resolution, remote sensing-based alternative to enable faster, scalable, and data-driven soil fertility assessment. The CSV file contains 1,38,192 unique geo-reference points across a 123 km² agricultural region, with each 30 m × 30 m grid cell capturing multiple parameters relevant to soil health and fertility. These include: Latitude and Longitude (WGS 84 coordinates) to spatially locate each point; NDVI (Normalized Difference Vegetation Index), derived from Sentinel-2 bands B8 and B4, indicating vegetation health; EVI (Enhanced Vegetation Index), which improves sensitivity in high biomass regions; SAVI (Soil-Adjusted Vegetation Index), which minimizes soil brightness influence; Soil_Moisture, estimated using Sentinel-1 C-band SAR VV polarization backscatter values; Elevation, derived from SRTM 30 m Digital Elevation Model; and Fertility_Level, a categorical classification into Very High, High, Moderate, or Low fertility zones. All data was preprocessed using Google Earth Engine (2019–2025), applying radiometric calibration, atmospheric correction, and cloud filtering. This comprehensive dataset is ideal for use in precision agriculture, irrigation planning, site-specific fertilizer application, and machine learning-based agro-environmental modeling.
DOI: 10.17632/h73wn2nw56.2
title: Soil Sight: Remote Sensing-Based Soil Fertility Dataset

description: Traditional soil testing in agricultural regions is often expensive, time-consuming, and lacks spatial coverage. This dataset addresses the need for a high-resolution, remote sensing-based alternative to enable faster, scalable, and data-driven soil fertility assessment. The CSV file contains 1,38,192 unique geo-reference points across a 123 km² agricultural region, with each 30 m × 30 m grid cell capturing multiple parameters relevant to soil health and fertility. These include: Latitude and Longitude (WGS 84 coordinates) to spatially locate each point; NDVI (Normalized Difference Vegetation Index), derived from Sentinel-2 bands B8 and B4, indicating vegetation health; EVI (Enhanced Vegetation Index), which improves sensitivity in high biomass regions; SAVI (Soil-Adjusted Vegetation Index), which minimizes soil brightness influence; Soil_Moisture, estimated using Sentinel-1 C-band SAR VV polarization backscatter values; Elevation, derived from SRTM 30 m Digital Elevation Model; and Fertility_Level, a categorical classification into Very High, High, Moderate, or Low fertility zones. All data was preprocessed using Google Earth Engine (2019–2025), applying radiometric calibration, atmospheric correction, and cloud filtering. This comprehensive dataset is ideal for use in precision agriculture, irrigation planning, site-specific fertilizer application, and machine learning-based agro-environmental modeling.
DOI: 10.6084/m9.figshare.29367470.v1
title: Data for "How <i>Pseudomonas aeruginosa</i> sense exopolysaccharide trails using type IV pili and adhesins"

description: Data for "How <i>Pseudomonas aeruginosa</i> sense exopolysaccharide trails using type IV pili and adhesins", published in Nature Microbiology in 2025 (doi:).Data and code used to generate the figures are available here. The "data" folder contains the input data used for generating the figure. The input data are either .csv files (regular or compressed into .gz) and .png image files. The "notebooks" folder contains Pluto notebooks, which run the code using the data in "data" folder to generate the figure files, which are then output to the "figures" folder. To ensure the notebooks can properly load the data, keep the listed folder hierarchy when running the notebook files (i.e., in their separate "data" and "notebooks" folder, all in the same parent folder).
DOI: 10.15468/dl.uzh4jw
title: Occurrence Download

description: A dataset containing 58125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calamagrostis rubella, Calamagrostis tartarica, Calamagrostis tartarica, Calamagrostis tartarica, Calamagrostis tatarica, Calamagrostis transsylvanica, Calamagrostis variflora, Calamagrostis purpurea, Agrostis groenlandica, Arundo langsdorffii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 58125 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018886-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.