cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dh4gcm7ckb
title: Synthetic populations of South African urban areas

description: The data accompanying this article include the compressed, Extensible Markup Language (XML) files of the synthetic populations for the nine areas of importance in South Africa. The provided populations are controlled at the household level using (household) income, and at individual levels using gender and population group. The result provides a complete stock of individuals while accounting for detailed demographic, socioeconomic information, and household structure.

The detailed XML Schema Definition (XSD) and XML Document Type Definition (DTD), which contains the declarations that describes the formal acceptable structure of the XML file, is available on http://www.matsim.org/files/dtd/. More specifically, there is one XSD definition for the household file, `households_v1.0.xsd`, and one DTD file for the individuals, `population_v6.dtd`. The files are normal XML and readable using many parsers. Our choice to use the Multi-Agent Transport Simulation (MATSim) infrastructure is because the populations are, in our context, frequently used for large-scale mesoscopic transport models using the agent-based MATSim.

In this version, the populations increased in size to reflect the 2022 population, based on the Statistics South Africa mid-year population estimates. The same extended attributes for both households and persons from v2 and v3 apply. The major difference in this version is that instead of only the nine (9) specific study areas, we create complete populations for all nine (9) provinces of the country. Consequently, this version covers the entire country at the sub-place level.
DOI: 10.6084/m9.figshare.25559106.v2
title: Plant functional traits affect biomass responses to global change: a meta-analysis

description: Whether and how the responses of above- (AGB) and belowground biomass (BGB) and aboveground net primary production (ANPP) to global changes are linked to plant functional traits is unclear. We conducted a global meta-analysis based on 2561 observations from 318 manipulative studies (primarily forest, grassland and cropland monocultures) to examine the effect of plant functional traits of dominant species (i.e., morphological and chemical traits, mycorrhizal association type and symbiotic nitrogen (N) fixation) on the responses of plant biomass production to global change drivers, i.e., elevated CO<sub>2</sub> (eCO<sub>2</sub>), elevated nutrient (eNutrient), elevated water (eWater), warming, and drought.We test following hypotheses (1) the responses of biomass production to GCDs will be stronger in plant communities dominated by fast-growing species than in those dominated by slow-growing species; (2) the responses of plant biomass production in EcM species-dominated communities to eCO<sub>2</sub>, eWater, warming and drought will be stronger than those in AM species-dominated communities, but the response of plant biomass production to eNutrient will be stronger in communities dominated by AM species than those dominated by EcM species; (3) the response of plant biomass production to eCO<sub>2</sub>, eWater, warming and drought will be more pronounced in communities dominated by N-fixing species than that dominated by non-N-fixing plants, while the reverse response will be found to eNutrient.
DOI: 10.17632/g462dy3xsk
title: Data for: Livestock production, politics and trade: a glimpse from Iron Age and Roman Languedoc

description: Supplementary materials Fig. 1. Reconstruction of the probability density function for each site and period given the values detailed in table 4. Table 1. Results Mann-Whitney U test for the Comparison of the LSI bone lengths values by the Cattle of Monédière and Lattara . (In blue) Significant difference: *(0.05-0.01), **(0.01-0.001), ***(&lt; 0.001) ; N= Non Significant difference (Wilcox test); NA= missing value. Table 2. Results Mann-Whitney U test for the Comparison of the LSI bone widths values by the Cattle of Monédière and Lattara. (In blue) Significant difference: *(0.05-0.01), **(0.01-0.001), ***(&lt; 0.001) ; N= Non Significant difference (Wilcox test); NA= missing value. Table 3. Results Mann-Whitney U test for the Comparison of the LSI bone lengths values by the Sheep/Goat of Monédière and Lattara. (In green) Significant difference: *(0.05-0.01), **(0.01-0.001), ***(&lt; 0.001) ; N= Non Significant difference (Wilcox test); NA= missing value. Table 4. Results Mann-Whitney U test for the Comparison of the LSI bone widths values by the Sheep/Goat of Monédière and Lattara. (In green) Significant difference: *(0.05-0.01), **(0.01-0.001), ***(&lt; 0.001) ; N= Non Significant difference (Wilcox test); NA= missing value. Table 5. Results Mann Mann-Whitney rest for the Strontium isotopic ratios (87Sr/86Sr). Table 6. Results Mann-Whitney U test for the Comparison of the LSI bone lengths values by the Cattle of different sites. (In blue) Significant difference: *(0.05-0.01), **(0.01-0.001), ***(&lt; 0.001) ; N= Non Significant difference (Wilcox test); NA= missing value. Table 7. Results Mann-Whitney U test for the Comparison of the LSI bone widths values by the Cattle of different sites. (In blue) Significant difference: *(0.05-0.01), **(0.01-0.001), ***(&lt; 0.001) ; N= Non Significant difference (Wilcox test); NA= missing value. Table 8. Results Mann-Whitney U test for the Comparison of the LSI bone lenghts values by the Sheep/Goat of different sites. (In green) Significant difference: *(0.05-0.01), **(0.01-0.001), ***(&lt; 0.001) ; N= Non Significant difference (Wilcox test); NA= missing value. Table 9. Results Mann-Whitney U test for the Comparison of the LSI bone widths values by the Sheep/Goat of different sites. (In green) Significant difference: *(0.05-0.01), **(0.01-0.001), ***(&lt; 0.001) ; N= Non Significant difference (Wilcox test); NA= missing value.
DOI: 10.17632/pfpwcvzc9k
title: Dataset AI Influencer on Impulsive Buying

description: This dataset contains respondents' answers regarding A.I. Influencer Characteristics, Impulsive Buying, Perceived Value, and Positive Emotional Appeal.
DOI: 10.6084/m9.figshare.12646217.v3
title: Sensor Data Samples for Biovotion Everion, Empatica E4, Bittium Faros 180, Spacelabs (SL 90217) and Tags (From TimeStamp Android App)

description: Example Dataset Containing Samples from:*** SIMULATION OF THE PROTOCOL EXPLAINED IN THE PAPERS BELOW ***<br><br>Empatica E4 (Firmware 2.1.0.4911)https://e4.empatica.com/e4-wristband<br>Biovotion Everion (Firmware 03.06)https://www.biovotion.com/everion/<br>1-lead ECG monitor Faros™180 from Bittium3 (Firmware 3.5.1)https://shop.bittium.com/product/36/bittium-faros-180-solution-pack<br>Spacelabs (SL 90217)https://www.spacelabshealthcare.com/products/diagnostic-cardiology/abp-monitoring/90217a/<br>Tags (obtained with the app: TimeStamp for Android Version 1.36)https://play.google.com/store/apps/details?id=gj.timestamp&hl=en<br>To read this file, please refer to the github page: xxx
DOI: 10.6084/m9.figshare.19656744.v1
title: Peucedanum praeruptorum genome assembly data

description: Peucedanum praeruptorum genome assembly data
DOI: 10.6084/m9.figshare.28188833.v1
title: Hydrochemical Clusters Map: K-Means Clustering Results for Southcentral Alaska

description: This interactive map shows the spatial distribution of hydrochemical data across Southcentral Alaska using K-Means clustering. The dataset includes key hydrochemical measurements, and each cluster is represented by a unique color on the map. The map is generated using Leaflet and Folium libraries in Python.<br>The static version is available in the main manuscript, while this HTML file provides a dynamic exploration of clustering results.<b>Contact:</b> Abhinav Choudhary (Chandigarh University, MSc Data Science)<br><b>Date of creation:</b> 2025-01-11
DOI: 10.6084/m9.figshare.29115098.v1
title: TCGA proteomics

description: TCGA proteomics
DOI: 10.6084/m9.figshare.13059086.v1
title: Additional file 7 of Genomic analyses reveal evolutionary and geologic context for the plateau fungus Ophiocordyceps sinensis

description: Additional file 7: Table S6. Repeat-induced point mutation regions.
DOI: 10.17632/39tj53s7cb
title: Specific Emitter Identification_FM

description: Due to the original data being too large (exceeding 300GB), only the data from one day out of the 15 days has been uploaded here. If the entire original dataset is needed, please contact me: liujiaxu97@foxmail.com.
DOI: 10.17632/z25bp8ytbj
title: WIEGO-ICTD-ISSER Tax and Informality in Accra_2022

description: The data contains information from 2700 self-employed informal sector operators in Accra, Ghana. Based on a two-stage cluster sampling approach t enumeration areas (EAs) were stratified by household income using data from the Ghana Statistical Service (GSS). Nex 135 EAs out of a total of 536 were selected randomly to undertake a listing exercise which generated a master list of all households in each EA. This formed the sampling frame from which households were selected for inclusion in the survey. In each selected EA, 20 households were selected to be surveyed. Selected households were asked whether a household member operated any kind of small income generating business activity by themselves or with one or more partners, which household members were involved in any self-employment activity/business, and whether the household member was the main owner (or main worker if the business was shared with another person). Following the listing exercise, which captured 3169 individuals, enumerators interviewed the owners or operators of the identified business activities. The first question in the survey asked the respondent whether the business activity was registered with the Registrar General’s Department—a requirement to be considered a formal enterprise in Ghana— to enable the survey sample to capture only the owners or operators of small, unregistered business activities. This mirrors the measurement of the informal sector in Ghana used both by the Ghana Statistical Service and the ILO.
 The survey instrument captured information on business operators, the characteristics of business activities, taxation, access to social protection and public goods, and perceptions of the government and the tax system. Fieldwork was conducted in April and May 2022.
DOI: 10.6084/m9.figshare.13655276.v7
title: Materials informatics platform with three dimensional structures (MIP-3d)

description: We present a large dataset of 3D materials. with more than 30,000 entries in the database, which contain the relaxed crystal structures, density of states, and band structures. Calculation of the equations of state and sound velocities is performed for over 12,000 entries. The electrical transport properties for approximately 4,400 entries are also calculated.
DOI: 10.6084/m9.figshare.24420580.v1
title: Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning: Cancer Cell Lines Data

description: Cancer cell lines multi-omic datasets.
DOI: 10.6084/m9.figshare.27061255.v4
title: GWAS summary statistics for major depression (PGC MDD2025)

description: Genome-wide summary statistics of major depression from the Psychiatric Genomics Consortium (2025)<br>Meta-analysed summary statistics for:Multi-ancestries, excluding 23andMe [DIV]European-ancestries, excluding 23andMe [EUR]European ancestries, excluding 23andMe and UK Biobank [EUR]European ancestries, top 10k SNPs [EUR]Clinical/interview phenotypes [EUR]Electronic health record / register phenotypes [EUR]Questionnaire symptom phenotypes [EUR]Questionnaire symptom phenotypes, excluding UK Biobank [EUR]Files:<b>*.tsv.gz</b><b>:</b> summary statistics with rich header information<b>*.txt:</b> meta information for cohorts included in each meta-analysis (tab-separated)<b>daner/daner_*.gz:</b> summary statistics in daner format<b>ssf/*_formatted.tsv.gz:</b> summary statistics in GWAS-SSF<br>
DOI: 10.6084/m9.figshare.27999185.v1
title: crop rotation

description: Data on the impact of long-term rotation on soil aggregate organic carbon.
DOI: 10.17632/kz84t85z66
title: Crack900

description: A large pixel-labeled dataset of masonry structure cracks is built, including five types of images: RGB, IR, fused, RGB_T and RGB_IR. Originated in the Research Lab of Automation in Construction Engineering and Management (ACEM), Department of Civil Engineering, Xi'an Jiaotong-Liverpool University
DOI: 10.6084/m9.figshare.29072489.v1
title: Raw data for APP research by UniVet Internal Medicine Dept, Budapest, Hungary

description: Acute inflammation of the pancreas, called pancreatitis, is a common disease in humans and dogs, which can lead to severe systemic consequences. There is no standard method to predict the outcome of the disease. One possible method could be to measure blood serum acute-phase proteins, which the body produces in response to inflammation. Currently, C-reactive protein is the most commonly used acute-phase protein to monitor inflammation during pancreatitis in dogs. Still, other acute-phase proteins, such as serum amyloid A and haptoglobin, have also been suggested for use in dogs. We aimed to compare six acute-phase proteins in 10 dogs during experimental acute pancreatitis to determine the most accurate method for monitoring the disease course. Our results further support that C-reactive protein is the most useful acute-phase protein during monitoring canine acute pancreatitis; the other acute-phase proteins reflected the disease course less precisely. The measurement of serum amyloid A may have some diagnostic potential in this disease, but its role should be further investigated in spontaneous disease cases.
DOI: 10.17632/gt34n2mfm7
title: Data for: Testing Firm-Level Data Quality in China against Benford's Law

description: This dataset contains city-level industrial output and Benford's values for Chinese Industrial Firms.
DOI: 10.6084/m9.figshare.13264793.v7
title: BioSR: a biological image dataset for super-resolution microscopy

description: BioSR is a biological image dataset for super-resolution microscopy, currently including more than 2200 pairs of low-and-high resolution images covering four biology structures (CCPs, ER, MTs, F-actin), nine signal levels (15-600 average photon count), and two upscaling-factors (linear SIM and non-linear SIM). BioSR is now freely available, aiming to provide a high-quality dataset for the community of single bio-image super-resolution algorithm and advanced SIM reconstruction algorithm developers. For more information about BioSR, please see our Nature Methods manuscript, "Evaluation and development of deep neural networks for image super-resolution in optical microscopy" (DOI: 10.1038/s41592-020-01048-5).<br>
DOI: 10.6084/m9.figshare.24428602.v1
title: 20231025_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.17632/dgdr2kfbyt
title: Water Quality Monitoring Dataset for Tilapia (Oreochromis niloticus) Aquaculture in Montería, Colombia (2024)

description: This dataset contains comprehensive water quality measurements for a tilapia (Oreochromis niloticus) aquaculture pond located in Montería, Colombia, collected over a six-month period in 2024. The dataset is part of a study aimed at enhancing water quality management in aquaculture systems, particularly in rural environments with limited technological infrastructure.

Data Collection and Parameters: The data was gathered through an Internet of Things (IoT) system designed to continuously monitor key water quality parameters. Parameters include:

Temperature (°C): Essential for maintaining optimal conditions for fish metabolism and growth.
Dissolved Oxygen (DO) (mg/L): Crucial for fish respiration and overall pond health.
pH: Indicates the acidity or alkalinity of the water, which affects fish health and nutrient availability.
Turbidity (NTU): Reflects the clarity of the water, which can impact light penetration and fish behavior.

Purpose and Applications: This dataset supports predictive modeling for water quality management using Machine Learning (ML) algorithms, including Random Forest and Support Vector Machines (SVM), with optimizations implemented via the Quantum Approximate Optimization Algorithm (QAOA). The dataset was utilized to train and validate models for real-time water quality prediction, achieving high accuracy in managing aquaculture conditions and reducing fish mortality.

Significance: The dataset provides valuable insights into water quality dynamics in tropical aquaculture settings, making it suitable for researchers, aquaculture managers, and data scientists focused on sustainable aquaculture practices. The data can aid in developing predictive models to stabilize water quality, support rural and urban aquaculture management, and contribute to global food security initiatives.

Acknowledgments: The collection of this dataset was made possible by an IoT-based monitoring system tailored for the environmental conditions of Montería, with an emphasis on adaptability for resource-limited rural regions.
DOI: 10.17632/wpcc72nz53
title: Factors Influencing Recovery from mTBI

description: Data set detailed for study looking at which initial factors are associated with short term outcome after mTBI
DOI: 10.6084/m9.figshare.14991624.v4
title: Data and Code for Yang et al. The global loss of floristic uniqueness

description: Including the data and R codes for Yang et al. The global loss of floristic uniqueness.
DOI: 10.6084/m9.figshare.21757001.v1
title: Raw data.xls

description: The raw data of survey
DOI: 10.6084/m9.figshare.23203955.v2
title: Gold Open Access 8: 2017-2022

description: Gold Open Access 2017-2022: Articles in Journals (GOA8), the dataset for the book. [Modified 6/5 to correct typos affecting the Region for six journals.]
DOI: 10.6084/m9.figshare.16917659.v2
title: Redescription and phylogenetic placement of the Spanish middle Eocene eusuchian <i>Duerosuchus piscator</i> (Crocodylia, Planocraniidae)

description: <i>Duerosuchus piscator</i> is a middle Eocene eusuchian known only from Corrales del Vino (Zamora, Spain). The species was defined based on an incomplete skull, partial lower jaws and two vertebrae from a single individual, and several osteoderms referred to other specimens. A detailed study of these remains allows us to question the attribution of all these remains to the same form. Just the cranial remains are considered as indisputably attributable to it; the validity of this species being supported. The present study provides a detailed description and an amended diagnosis for <i>Duerosuchus piscator</i>, which is included for the first time in a phylogenetic analysis in order to establish its systematic position within Crocodylia. As a result of this study, the Eocene crocodyliform paleobiodiversity in the Duero Basin is recognized as comprising a notosuchian (<i>Iberosuchus macrodon</i>), as well as three crocodylians, each belonging to a clade: the alligatoroid <i>Diplocynodon tormis</i>, a crocodyloid traditionally attributed to the genus <i>Asiatosuchus</i>, and <i>Duerosuchus piscator</i>, which is here identified as a planocraniid, up to now unrecognized in the Iberian fossil record.
DOI: 10.6084/m9.figshare.19336937.v1
title: Inter-annual variation patterns of carbon footprint of farmland ecosystems in industrial provinces in China--Guangdong Province as an example-Data.docx

description: Raw data on carbon emissions, carbon sequestration and carbon footprint of agricultural ecosystems in Guangdong Province, CHINA, 2001-2020.<br>
DOI: 10.6084/m9.figshare.7108790.v2
title: Dielectric Constant Data

description: <br>Dataset of material properties used to predict dielectric constants. Available as MontyEncoder encoded compressed JSON and as CSV. The recommended download method is using the matminer.datasets module.<br><br> Note on citations: If you found this dataset useful and would like to cite it in your work, please be sure to cite its original sources below rather than or in addition to this page.<br><br>Dataset described in the following publication:<br>Petousis I, Mrdjenovich D, Ballouz E, Liu M, Winston D, Chen W, Graf T, Schladt TD, Persson KA, Prinz FB (2017) High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials. Scientific Data 4: 160134. https://doi.org/10.1038/sdata.2016.134 <br>Dataset was adapted by Hacking Materials group from json files originally sourced from Dryad (see references 3-4 below).<br>Petousis I, Mrdjenovich D, Ballouz E, Liu M, Chen W, Graf T, Schladt TD, Persson KA, Prinz FB (2017) Data from: High-throughput screening of inorganic compounds for dielectric and optical properties to enable the discovery of novel materials. Dryad Digital Repository. https://doi.org/10.5061/dryad.ph81h
DOI: 10.6084/m9.figshare.21621618.v1
title: Journal Paper: A new autonomous navigation system of a mobile robot using supervised learning

description: An intelligent mobile robot must have the ability to move autonomously in complex environments. Achieving this mission using classical paradigms requires a sophisticated perception of the environment and a high computational load. In this paper, we present an autonomous navigation system based on supervised learning applied to a mobile robot equipped with ultrasonic sensors. The robot will be trained and tested in several environments of different complexity. The test results showed the effectiveness of the proposed navigation system. <br>
DOI: 10.6084/m9.figshare.22099679.v3
title: Tweet Emotion Data

description: <em>Dataset containing tweets and meta data information for multiclass prediction for emotion of tweet.</em><br> <br> <em>The data has 4653 tweet records with 5 features and a multiclass target column, referring to the emotion of the tweet.</em><br> <br> <em>This dataset is an extension of Hugging Face's tweet_eval dataset,</em><br> <em>For additional details about the dataset, please refer to the original source: https://huggingface.co/datasets/tweet_eval</em>
DOI: 10.6084/m9.figshare.26212994.v1
title: <b>Single</b><b>-cell RNA sequencing analysis of lung cancer to predict prognosis and immunotherapy efficacy based </b><b>on the activation of ferroptosis</b><b>-related genes</b>

description: Lung cancer remains the predominant cause of cancer-related mortality worldwide. Recently, ferroptosis has been implicated in T-cell-mediated antitumor immunity and affects the efficacy of cancer immunotherapy; however, how ferroptosis affects the tumor microenvironment and how ferroptosis interacts with the immunotherapy response remain unclear.
DOI: 10.6084/m9.figshare.8966273.v1
title: Ushant AIS dataset

description: This dataset corresponds to 6 months of AIS data of vessels steaming in the area of the Ushant traffic separation scheme (in Brittany, West of France). This is an area with one of the highest traffic density in the world, with a clear separation scheme with two navigation lanes. Different kinds of vessels are present in the area, from cargos and tankers with high velocity and straight routes to sailing boats or fishing vessels with low speed and different sailing directions. As such, the area is highly monitored to avoid collision or grounding, and a better analysis and understanding of the different ship behaviors is of prime importance.<br>The whole trajectory data set consists in 18,603 trajectories, gathering overall more than 7 millions GPS observations. Only trajectories having more than 30 points were kept, time lag between two consecutive observations ranges between 5 seconds and 15 hours, with 95% of time lags below 3 minutes.<br>Authors would like to thank CLS (Collecte Localisation Satellites) and Erwan Guegueniat for providing the raw data that allowed building this dataset.This work has been supported by DGA through the ANR/Astrid SESAME project (ref: ANR-16-ASTR-0026).
DOI: 10.17632/65gk62bkff
title: Data for Blanchard et al., 2024

description: Dataset for Balnchard et al., 2024: Flies on the Rise: Acclimation Effect on Mitochondrial Oxidation Capacity at Normal and High Temperatures in Drosophila melanogaster