cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28771079.v1
title: Indonesian Stock Market Historical & Broker Summary Data for LQ45 Stocks (Oct 2023–Oct 2024)

description: This dataset contains daily historical price data and broker summary data for LQ45-listed stocks on the Indonesia Stock Exchange (IDX), covering the period from <b>October 2, 2023 to October 11, 2024</b>.The dataset includes:<b>Daily OHLCV (Open, High, Low, Close, Volume)</b> data per stock<b>Broker summary data</b>, showing buy/sell activity and average prices by brokerData for all active tickers within the <b>LQ45 index</b> during the covered periodEach data point is stored in CSV and JSON format and organized by ticker and trading date, making it suitable for analysis, backtesting, or academic research.
DOI: 10.17632/cfgy9ss43n
title: Caspian Sea dataset

description: Groundwater quality of Caspian Sea coastline- Dataset
DOI: 10.17632/yxmy7xcbn5
title: Supplementary materials-Oliva et al., EEB (2025)

description: Supplementary materials 1 and 2 of ''Unraveling the Effects of Caulerpa Metabolites on Posidonia oceanica Apical and Vertical Shoots at Physiological and Molecular level'' by Daniela Oliva, Amalia Piro, Marianna Carbone, Ernesto Mollo, Manoj Kumar, Faustino Scarcelli, Dante Matteo Nisticò, Silvia Mazzuca (2025)
DOI: 10.6084/m9.figshare.23542167.v1
title: Weber, Moya, et al. 2023

description: Data and code related to Weber, Moya, et al., 2023, <em>Nature Neuroscience</em><br> <br> <strong>High-speed, multi-plane confocal microscopy for voltage imaging in densely labeled neuronal populations</strong><br> Timothy D. Weber*, Maria V. Moya*, Kıvılcım Kılıç, Jerome Mertz*, Michael N. Economo* <br> <br>
DOI: 10.17632/cvx3f5bk4p
title: Ulrich, Web of Science and Scopus Global Journal Coverage Data: Classification by Regions

description: Introduction: These datasets contain information about journals in the eight regions of the world based on United Nations SDG classification (Central& Southern Asia, Europe, Eastern &South Eastern Asia, Latin America, North Africa& Western Asia, Oceania, North America and Sub-Saharan Africa) that are indexed in Web of Science/Scopus and are available in Ulrich periodical directory. The datasets were created by matching Ulrich journal information with journal information from Web of Science and Scopus.

Data Creation: A single Web of Science master journal list was created for SSCI, SCI, AHCI and ESCI by combining and removing duplicate records from their lists; the Web of Science master journal contained 21,908 unique journals. Only active scholarly journals from Scopus were included in this study; i.e. duplicates, all inactive sources, trade journals, book series, monographs and conference proceedings were removed. 26,029 active journals of the 43,013 sources in Scopus were included. Journal lists from 239 countries were collected from Ulrich comprehensive periodical directory and analyzed by region. After removal of duplicates, this generated a database of 83,429 unique active academic journals. To compile regional and global datasets, duplicate journals in the regional and global levels, respectively, were removed. The master journal lists created from Web of Science, Scopus and Ulrich were transferred to an SQL database for querying.  Journal matching was carried out in two steps. Firstly, the ISSN numbers of journals in Web of Science and Scopus were used to match journal records to Ulrich. In the second step, the remaining journals were then matched using their titles, and these matches were manually verified to reduce the chances of false positives. Using these two steps, we were able to match 20,255 (92.46%) of the journals in Web of Science, and 23,349 (89.70%) of the academic journals from Scopus, with Ulrichsweb journal list.
DOI: 10.6084/m9.figshare.27116971.v1
title: Sequences and chromosomal localization coordinates ofexon-exon junctions found in mouse genome ‘mm10’ by PPG Finder

description: We devised a computational genomic methodology PPG Finder for identificaiton of locations of processed pseudogenes. This dataset contains results obtained by PPG Finder for mouse genome mm10.
DOI: 10.15468/dl.43qc63
title: Occurrence Download

description: A dataset containing 1046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Oldenlandia corymbosa L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1046 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012940-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g6ksy664mx
title: Data for: Feasible Generalized Least Squares Using Support Vector Regression

description: R code and .csv configuration files for feasible generalized least squares (FGLS) estimation in which the conditional variance function is estimated using support vector regression.
DOI: 10.17632/66rnn39z43
title: Vicuña et al., 2023, iScience

description: R codes used in Vicuña et al., 2023, iScience: "New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry". If you use any of these scripts, please cite the original article.
DOI: 10.17632/g523kyy4v7
title: Data for: Building as a Virtual Power Plant, Magnitude and Persistence of Deferrable Loads and Human Comfort Implications

description: Data in summary: 1- Building total B side: This is metered data from one of two mains busbars that supplies all none-emergency services and HVAC equipment 2- Building total A side: This is metered data from the second of two mains busbars that supplies all emergency services including fire safety, comm rooms, emergency lighting and public announcement. It also is connected to a PV array with peak electrical supply of around 33kWe. 3- Half hourly building demand and deferrable load breakdowns: This is processed data that includes building total and HH instances of deferrable loads for all sub-categories of loads considered in this work. It also includes HH instances of PV generation, and outside air temperature. 4- Early morning ramp rates following plant start-up: This is a file containing the difference between two instantaneous recordings of total building electricity consumption that shows the continuous fluctuation in total electricity demand in the building. 5- CO2-raw (Typical office): This files contains actual CO2 data in an office that represents typical space occupant density in the case study building. 6- CO2-raw (worst case): This files contains actual CO2 data in a teaching space that represents the highest observed space occupant density in the case study building. 7- Warming and cooling rates in the worst case zones: This file include actual data describing the operational temperature in the worst case zones most prone to overheating in summer and excessive heat loss in winter.
DOI: 10.15468/dl.96x5r7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.1447 -34.2546,26.6413 -34.1504,17.9648 -34.1504,17.9648 -34.5378,18.3444 -34.8391,18.8711 -34.8843,19.4851 -35.2658,19.9376 -35.3352,20.7057 -34.9616,21.9281 -34.8692,22.6401 -34.5158,23.3842 -34.6063,23.712 -34.499,24.8223 -34.7143,25.2443 -34.5061,25.7729 -34.5304,26.1447 -34.2546))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012939-250525065834625/datasets/export for details.
DOI: 10.17632/p8gh7wk9z3
title: Sun and Giocomo. Neural Circuit Dynamics of Drug-Context Associative Learning in the Mouse Hippocampus. Nature Communications (2022)

description: Data associated with article: Sun and Giocomo. Neural Circuit Dynamics of Drug-Context Associative Learning in the Mouse Hippocampus. Nature Communications (2022). 

All the data were collected by Dr. Yanjun Sun in Dr. Lisa Giocomo's Lab at Stanford University School of Medicine. Each folder below contains methamphetamine (MA) conditioned place preference (CPP) data from one mouse. 
Contact: yanjuns@stanford.edu
DOI: 10.6084/m9.figshare.20740321.v1
title: Global Soil Inorganic Carbon Database

description: Data repository for the paper "Size, distribution and vulnerability of the global soil inorganic carbon (Huang et al. 2024, <i>Science, </i>DOI: 10.1126/science.adi7918)". The global soil inorganic carbon (SIC) database provides high-resolution (30 arc-seconds) global gridded SIC data for three soil depths (0-30cm, 30-100cm, 100-200cm). SIC is expressed as carbonate equivalent in fine earth (i.e., ≤ 2 mm), in unit of gC/kg(soil).This dataset includes six gridded data files in NetCDF format. Three files provide the estimations of present-day SIC for three soil depths. The other three files contain values of the standard deviations of each estimation based on machine learning models built during 10-fold cross validation. These data are generated through linking measured SIC content (N &gt; 200,000) to spatially explicit environment covariates by using the machine learning models (two-part models: binary classification and regression model) (Materials and Methods).There are two csv files documenting the compiled measured SIC at different locations across the globe. Site-level measurements were collected from the ISRIC World Soil Information Service (WoSIS) with standardised soil profile data, supplemented by additional databases from National Soil Surveys, resamplings and new measurements from China, from literature via “China National Knowledge Infrastructure” (https://www.cnki.net/) and “Web of Science” (http://www.isiknowledge.com/), from additional samples collected in South-West Germany, Egypt and Russia. University of Hohenheim holds the ownership of the measured data with the label "Germany_xxx". A small portion of entries of measured samples located in northeast China are left empty due to data sharing policies. For users need this part of data, please address to Dr. Songbai Hong (songbaih@pku.edu.cn). The gridded NetCDF data is likely to be less accurate in observation limited regions compared to regions with enough measurements. Caution is advised when applying this data in such areas. Variable names follow the conventions used in WoSIS snapshot - September 2019. The study of "Significant loss of soil inorganic carbon at the continental scale" (National Science Review, Volume 9, Issue 2, February 2022, nwab120) and Supplementary Table S12 provide literature lists from which additional measurements were extracted.This archive also hosts programming codes for reading compiled data, training predictive models, generating NetCDF files or creating visual displays.
DOI: 10.6084/m9.figshare.28787216.v1
title: Additional files for the SARA-prone paper

description: Additional files for the SARA-prone paper
DOI: 10.17632/3rhm75f534
title: Dataset for: The Influence of Loading Path on Fault Reactivation: a Laboratory Perspective

description: This dataset is related to the research paper "The Influence of Loading Path on Fault Reactivation: a Laboratory Perspective" by Giorgetti, C., & Violay M., in GRL. https://doi.org/10.1029/2020GL091466 The files contain the raw data collected during the experiments that are reported in the research manuscript. Abstract: The loading path the fault experiences is often neglected when evaluating its potential for reactivation and the related seismic risk. However, stress history affects fault zone compaction and dilation, and thus its mechanics. Therefore, in incohesive fault cores that could dilate or compact, the role of the loading path could not be ruled out. Here we reproduce in the laboratory different tectonic loading paths for reverse (load‐strengthening in the absence of significant fluid pressure increase) and normal gouge‐bearing faults (load‐weakening) to investigate the loading path influence on fault reactivation and seismic potential. We find that, before reactivation, experimental reverse faults undergo compaction, whereas experimental normal faults experience dilation. Additionally, when reactivated at comparable normal stress, normal faults are more prone to slip seismically than reverse faults. We infer that the higher mean stress normal faults experience compacts more efficiently the fault rock, increasing its stiffness and favoring seismic slip. Plain Language Summary: Slip along pre‐existing faults in the Earth’s crust occurs whenever the shear stress resolved on the fault plane overcomes its frictional strength, potentially generating catastrophic earthquakes. The increase in the shear stress can follow different tectonic loading paths, and in particular, load‐weakening versus. load‐strengthening paths when it is coupled respectively to a decrease versus. an increase in the normal stress clamping the fault. The role of the loading path cannot be ruled out, especially in the presence of a thick, incohesive fault zone that can change its volume under different stress conditions. However, in most friction experiments, the fault is loaded under constant or increasing the normal stress, that is, load‐strengthening. Here, we bridge the gap in laboratory loading paths simulating reactivation at the same normal stress clamping the fault but with different tectonic stress histories. Interestingly, our results suggest contrasting hydro‐mechanical behavior for load‐strengthening versus. load‐weakening path: (1) before reactivation, fault zone compaction versus. dilation and (2) when reactivated at comparable normal stress, stable creep versus seismic slip, respectively. Our study has only scratched the surface of the loading‐path influence on thick fault stability and potential implications for fluid circulation in fault zones, stressing the importance of further investigating the loading path influence.
DOI: 10.6084/m9.figshare.26421013.v1
title: Defect Detection Algorithms YOLOv9

description: YOLOv9 Deep Learning Object Detection Algorithm
DOI: 10.17632/nzcrfhgfh4
title: COVID-19 Pandemic: A Dataset from Khyber Pakhtunkhwa, Pakistan

description: This dataset demonstrates the fear of Coronavirus (COVID-19) among the people of Khyber Pakhtunkhwa (Pakistan), their preventive behaviour, mental health condition, and level of anxiety during the pandemic. To gauge these constructs, a questionnaire was developed with the help of various scales – Fear of COVID-19 Scale (FCV-19S), Positive Mental Health Scale (PMHS), and General Anxiety Disorder Scale (GAD). At the time of data collection, the COVID-19 cases were emerging rapidly in the country due to which the KPK province was also facing lock-down and other mobility restrictions to limit the spread of viral infection. Keeping in view the prevalent emergency conditions, the research tool was developed in Google form and disseminated online for the collection of data. The informed consent of the respondents was obtained electronically, and they participated voluntarily in this survey research. Social media apps like Facebook, WhatsApp, LinkedIn, and personal contacts were also used for speedy collection of data. All the questions in the questionnaire were mandatory and the respondents could not send their responses by skipping any of them, so there is no missing value in the dataset. A total of 501 responses were received out of which 208 were females. For the convenience of the participants, every question in the questionnaire was translated into the Urdu language. All the responses were automatically saved online into a .xlsx spreadsheet and later that data was converted to digitized form by developing a coding frame. There are two main sections in this dataset, first is about the socio-demographic information (gender, age, marital status, employment status, area of residence and education) of the participants and the second demonstrates the fear, mental health, preventive behaviour, and anxiety while in the second section, the responses were rated on Likert scale. This dataset could be beneficial to the researchers and policymakers as they can get further insight to develop better skills and practices from a rapidly evolving situation.
DOI: 10.6084/m9.figshare.27195315.v2
title: Supplementary Tables S2-10

description: Supplementary tables S2-10 for the October 2024 preprint of "Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny".
DOI: 10.17632/vhm44t74sy
title: Stable water isotope monitoring network of different water bodies in Shiyang River Basin, a typical arid river in China

description: Data set of isotopes of different water bodies (precipitation, surface water, groundwater,soil water, and plant water) in the Shiyang River basin from 2015 to 2020. A total of 53 monitoring points were set up in the Shiyang River Basin , among which 35 were upstream, 6 in the midstream, and 12 in the downstream. 6,756 samples have been obtained, including 1,206 precipitation samples, 1,101 surface water samples, 161 groundwater samples, 3,779 soil water samples, and 509 plant water samples.
DOI: 10.17632/c2xyg294x7
title: Climate data set and analysis West Uzbekistan 

description: Data per meteorological station and analysis sheets: day and nights temperatures trends, day degrees applied to meteorological data of Khiva. Data from 1996 to 1990 and from 2013 to 2017. World bank open portal climatic model trends.
DOI: 10.6084/m9.figshare.7891037.v1
title: gVCF_HG01485

description: 1000 Genomes gVCF mapped to hs37d5 for HG01485. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/892vcn3yxz
title: Qualitative Research in Educational Sciences Journal

description: The Journal of Qualitative Research in Educational Sciences is a journal that publishes original findings from qualitative research. The journal welcomes articles that have a broad audience and are written with new and diverse ways of thinking about qualitative methods. The journal covers all methodologies that can be described as qualitative research, including mixed methods, grounded theory, phenomenology, action research, ethnography, content analysis, and so on. The Journal of Qualitative Research in Educational Sciences comprehensively welcomes articles based on the collection, analysis, and presentation of qualitative findings in educational sciences, and also deals with in-depth and conceptual research. The journal provides valuable information for researchers and enthusiasts to advance knowledge and promote qualitative research methods. The journal seeks to help the country's academic and scientific community in various disciplines use qualitative methods as a way to understand the world.
DOI: 10.17632/hrjsfnpng7
title: Mango dataset-2(Guiqi,Jinhuang,Tainong,aomang)

description: This is a dataset of mangoes in a natural orchard environment, including four species that Guiqi, Jinhuang, Tainong and aomang. It was uploaded in two parts, and this is the second.
DOI: 10.17632/rv5h96zvpb
title: Dataset for the paper: Neodymium isotopes in peat reveal past local environmental disturbances

description: This data set includes palaeoecological data form Głęboczek and Stawek peatlands that were published in the paper:
Marcisz, K., Belka, Z., Dopieralska, J., Jakubowicz, M., Karpińska-Kołaczek, M., Kołaczek, P., Mauquoy, D., Słowiński, M., Zieliński, M., Lamentowicz, M., 2023. Neodymium isotopes in peat reveal past local environmental disturbances. Science of The Total Environment, 161859.
Publication available under a link: https://doi.org/10.1016/j.scitotenv.2023.161859

Funding: The Stawek profile radiocarbon dating and investigation and neodymium measurements were financed by the National Science Centre, Poland, grants no. 2019/03/X/ST10/00849 and 2020/39/D/ST10/00641. The Głęboczek profile radiocarbon dating and investigation were financed by the National Science Centre, Poland, grant no. 2015/17/B/ST10/01656.

The data set includes several proxies: 
- 14C dates and peat accumulation rates, bulk density
- Testate amoebae and depth to water table reconstruction
- Pollen
- Plant macrofossils
- Macroscopic and microscopic charcoal
- Neodymium isotopes
DOI: 10.6084/m9.figshare.1295936.v1
title: Mr

description: This data is used to determine the prevealence and pridectors of Mental distress among University students in Northwest Ethiopia.. The data were collected by self administer questionnaire (SRQ-20)
DOI: 10.17632/dd49c8y2cc
title: R project to assess the environmental impacts of the main Spanish crops at a regional level

description: The collated data correspond to the parameters to estimate the resources consumption and the emissions to the environment from the main farming activities (resources consumption and emissions from infrastructure building and management, fertiliser and pesticide production, on-field fertiliser and pesticide emissions, fuel consumption from machinery use, and irrigation), together with the environmental impacts of the unit processes (e.g. electricity mix, production of agricultural inputs) required to assess the environmental impacts from a panel of reference holdings at the main NUTS 2 in Spain. These data were compiled in a set of excel sheets and subsequently operated (tidying, transforming, visualisation and modelling operations) by developing a set of scripts using R programming language and the RStudio interface.
DOI: 10.17632/mcgbkk42n6
title: Data from the monitoring of a photovoltaic water pumping system in Burkina Faso - February, May, July, August 2018

description: The data are fully described in the article: S. Meunier, M. Heinrich, L. Queval, J.A. Cherni, L. Vido, A. Darga, Ph. Dessante, B. Multon, P.K. Kitanidis, C. Marchand, "A validated model of a photovoltaic water pumping system for off-grid rural communities", Applied Energy, vol 241, pp. 580-591, 2019, DOI: 10.1016/j.apenergy.2019.03.035. Please cite this article when you use the data. The data were collected on a photovoltaic (PV) water pumping system in the village of Gogma, Burkina Faso. The data collected by the data logger are: - Time: t - Irradiance on the plane of the PV modules: G_pv [W/m2] - Ambient temperature: T_a [°C] - PV modules temperature: T_pv [°C] - Voltage of the PV generator: V_pv [V] - Current from the PV generator: I_pv [A] - Pumped flow rate: Q_p [m3/s] - Collected flow rate: Q_c [m3/s] The data cover the following periods with a time step of 1 minute: - 12 February - 18 February 2018 - 19 February - 21 February 2018 - 16 May - 29 May 2018 - 29 July - 11 August 2018 For any questions about the dataset please contact Simon Meunier: simon.meunier@centralesupelec.fr