cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/c4xvrdd25t
title: Slow Progress or Quick Success: Does green credit facilitate the service transformation of Chinese manufacturing enterprises?

description: This study considered non-financial A-share listed corporations between 2007 and 2021, with enterprise data retrieved from the CSMAR database, the Wind database, and various provincial and municipal statistical yearbooks. The collected data was processed as follows: (1) Given the adjustments to industry codes by the China Securities Regulatory Commission in 2012, this study standardized industry codes from before 2012 to the dimension of codes after 2012. (2) The sample industry was restricted to manufacturing, and all ST, *ST, and PT company samples were excluded. (3) Samples of corporations with severely missing fundamental data were removed. (4) Samples of corporations with a debt–asset ratio exceeding 1 were removed. (5) A 1% trimming was applied to all dummy variables. The final sample comprised 21,273 observations, with 6,868 samples designated as the experimental group and 14,405 samples designated as the control group.
DOI: 10.17632/88y3nffs82
title: Impacts of the Covid-19 Pandemic on Life of Higher Education Students: Global Survey Dataset from the First Wave

description: The Covid-19 pandemic has completely reshaped the lives of people around the world, including the lives of higher education students. Beyond serious health consequences for a proportion of those directly affected by the virus, the pandemic holds important implications for the life and work of higher education students, considerably affecting their physical and mental well-being. To capture how students perceived the first wave of the pandemic’s impact, one of the most comprehensive and large-scale online surveys across the world was conducted. Carried out between 5 May 2020 and 15 June 2020, the survey came at a time when most countries were experiencing the arduous lockdown restrictions. The online questionnaire was prepared in seven different languages (English, Italian, North Macedonian, Portuguese, Romanian,  Spanish, Turkish) and covered various aspects of higher education students’ life, including socio-demographic and academic characteristics,  academic life, infrastructure and skills for studying from home, social life, emotional life and life circumstances. Using the convenience  sampling method, the online questionnaire was distributed to higher education students (aged 18 and over) and enrolled in a higher education  institution. The final dataset consisted of 31,212 responses from 133 countries and 6 continents. The data may prove useful for researchers  studying the pandemic’s impacts on various aspects of student life. Policymakers can utilize the data to determine the best solutions as they formulate policy recommendations and strategies to support students during this and any future pandemic.
DOI: 10.17632/j2gmspwshp
title: Grapevines Leaves from Southern Perú -Ds

description: This study presents a unique and original dataset, composed of 4231 images of grape plants, collected in the Villacuri Valley, Ica, Peru. The images were captured using two different cameras, a Cano and a GoPro, to ensure the diversity and quality of the images.

The data collection process was meticulous and well-planned, with the goal of creating a data set that can be reused in various grapevine-related studies. This data set has the potential to be a valuable tool in viticulture research, especially in the study and
detection of diseases and pests in grapes, such as Spodoptera and Esca.

The data set not only provides a detailed insight into the current conditions of grape plants in the Villacuri Valley, but also opens up new possibilities for the application of modern technologies in viticulture. The potential reuse of this dataset is broad, as it can be used to train machine learning models, perform agricultural data analysis, improve precision farming techniques, and much more.
DOI: 10.6084/m9.figshare.7619039.v1
title: Supplementary Files of phylogenetic analyses of all single protein trees excluding beta-oxidation proteins (Figure 2 and Suppl. Figures 14-18)

description: Here we provide access to the Supplementary Files of phylogenetic analyses of all single protein trees excluding beta-oxidation proteins (Figure 2 and Suppl. Figures 14-18) accompanying our article in Nature Microbiology entitled: "Proposal of the reverse flow model for the origin of the eukaryotic cell based on comparative analysis of Asgard archaeal metabolism".<br>
DOI: 10.17632/bcjvm4rfjg
title: Taraba State Population Growth Dataset

description: This dataset is the population simulation growth data of Taraba state obtained using exponential model and logistic model. The raw data used in generating the data points for the simulation was obtained from National Population Commission from 1991-2019. Both model parameters were estimated taking the National Population Census data conducted in 1991 with the population 1,512,184 as the initial population at time zero. The growth rate 2.9% per annum and the carrying capacity 390,578,974,38 million people were obtained. An R-squared value of 0.995 was obtained for better confidence in prediction. The simulated results data shows that the population of Taraba state will be 9.8 million people by 2055 and it is recommend that the state and federal governments use these findings to develop comprehensive plans for managing the increasing population.
DOI: 10.6084/m9.figshare.16783024.v2
title: Gli autori della letteratura italiana sul grande e piccolo schermo. Modified-used datasets and resulting tables.

description: The datasets and the resulting tables are based on the information contained into the dataset named "Gli autori della letteratura italiana sul grande e piccolo schermo. Initial dataset.".These datasets have been used as means to simplify the task of gathering the data related to different topics. The information related to each topic are collected in the resulting tables.
DOI: 10.26091/esrnz.9643097.v1
title: Supplemental Information: Sediment chemistry with TOC normalization

description: Journal article: Assessment of the ecotoxicity of urban estuarine sediment using benthic and pelagic copepod bioassays - Supplemental Information: Sediment Chemistry with TOC normalization<br>
DOI: 10.17632/dprrxx3pdb
title: Supplemental Figure for JAAD-D-21-01160R1

description: Supplemental Figure for JAAD-D-21-01160R1, Characterization and Treatment of Prominent Facial Vasculature in the Setting of Frontal Fibrosing Alopecia.
DOI: 10.17632/p75vptszth
title: A study of Caloric restriction prevents PCOS inheritance, Yue Liu et al.

description: The original histological images in study of “Caloric restriction prevents inheritance of polycystic ovary syndrome through oocyte-mediated DNA methylation reprogramming”, Yue Liu et al.
DOI: 10.17632/m27ggdkn2x
title: Optimal Locations and Capacities of Electric Vehicle Charging Stations Datasets

description: Optimal Locations and Capacities of Electric Vehicle Charging Stations Datasets
DOI: 10.17632/mm6gby482b
title: Lack of reproducibility of molecular phylogenetic analysis of Copepoda orders

description: Supplementary figures and additional material for: Mikhailov KV, Ivanenko VN. (2019a) Low support values and lack of reproducibility of molecular phylogenetic analysis of Copepoda orders. BioRxiv: e650507. 10.1101/650507 Figure S1. Maximum likelihood reconstruction with the concatenated alignment of the four genes (18S and 28S rRNA, COI mtDNA and H3 histone) from the study by Khodami et al., 2017. The tree was reconstructed with RAxML using the GTRGAMMAI model optimized separately for the four gene partitions; tree node support values are bootstrap percentages evaluated with 10,000 replicates. Figure S2. Bayesian inference with the concatenated alignment of the four genes (18S and 28S rRNA, COI mtDNA and H3 histone) from the study by Khodami et al., 2017. The tree was reconstructed by MrBayes using the GTR model for the rDNA partitions and the codon models in conjunction with GTR for the protein coding gene partitions; tree node support values are posterior probabilities given as percentage values. Funding: The reanalysis of the dataset was conducted with support of the Russian Foundation for Basic Research (grants #18-04-01192).
DOI: 10.17632/prznpyy5by
title: Fang_2024_GCA_Data

description: Raw data for the manuscript by Fang et al. to be published by Geochimica et Cosmochimica Acta as "Molybdenum speciation in magmatic-hydrothermal fluids: Constraints from molybdenite solubility experiments and thermodynamic modeling"
DOI: 10.17632/ps969yb8vf
title: Sea ice, zonal wave 3, SAL index, ENSO index and ASL data for 2023

description: This dataset contains Sea ice, zonal wave 3, SAL index, ENSO index and ASL for 2023
DOI: 10.6084/m9.figshare.28759481.v1
title: The effectiveness of DERs in enhancing technical vocabulary acquisition-a case study in Chemistry

description: Please find the data for this paper here.
DOI: 10.17632/7gmzy2578w
title: Central Rio Bravo Wetland Soil Chemistry

description: The elemental and physical soil properties of soils profiles from the Central Rio Bravo wetlands of Northwest Belize.
DOI: 10.17632/f6zszzhhm6
title: Green Technology

description: paper about green technology, market orientation and green performance
DOI: 10.15468/dl.qqrkvt
title: Occurrence Download

description: A dataset containing 4483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Eupithecia vulgata (Haworth, 1809)"
 ]
}

 The dataset includes 4483 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009172-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kwvrmkz3dr
title: (Dataset) Evaluation of the accessibility of a digital platform

description: Contains the Accessibility Evaluation dataset of a digital platform
DOI: 10.17632/cjtxfhdtmm
title: Data for: Liking Cenozoic magmatism in the north-central Tibetan Plateau with plateau growth

description: Table S1. The geochemical compositions and calculated crustal thicknesses of the Cenozoic magmatic rocks from the north-central Tibetan Plateau
Table S2. High MgO basaltic rocks from the north-central Tibetan Plateau and their equilibrium pressures
DOI: 10.17632/b3w2dxj3tr
title: Natural Variation in an HD-ZIP Factor and Its Complex Regulation in Modulating Apple Leaf Cuticular Wax Deposition

description: Data S1: All original blots, related to Figures 4-6, Figures S2 & S7.
DOI: 10.6084/m9.figshare.5711392.v1
title: 3D Geological modelling of the Taupo Volcanic Zone as a foundation for a geothermal reservoir model

description: We present a 3D hydrogeological model of the central Taupo Volcanic Zone (TVZ), including seven geothermal fields. A combination of borehole data, surface geology and structures were used to generate representative geological groups at depth. The geological units in the model area have been combined into seven hydrogeological groups based primarily on rock types with similar hydraulic characteristics, with permeabilities ranging from 9 × 10<sup>−15</sup> to 2 × 10<sup>−9</sup> m<sup>2</sup>. The fault structures used in the model are simplified to nine faults that are laterally extensive or host significant fluid flow. These faults, other than the caldera collapse structures, strike northeast–southwest, reflecting the dominant structural trend in the TVZ. By visualising hydrogeological groups in 3D, realistic geology and hence permeability input data can be more easily integrated into numerical fluid flow models.
DOI: 10.17632/47wv4m4nrj
title: Data for: RS＆GIS based PM emission inventories of dust source over a provincial scale: A case study of Henan province, central China
DOI: 10.17632/75wgtgdk3d
title: Raw data for the study of cybersickness and sensory conflict theory using a motion-coupled virtual reality system

description: Includes: 1. Scores of Simulator Sickness Questionnaire 2. Scores of Misery Scale and Joyfulness Scale
DOI: 10.6084/m9.figshare.28892990.v1
title: Household survey results

description: Results of household survey of 32 residents of Temburong, Brunei Darussalam from KoboCollect. Data collected includes demographic information, questions about perceptions and uses of forests in Temburong, and wellbeing.
DOI: 10.17632/p4jdr8wsd7
title: Part 13 of data for Elizondo et al Adipose Tissue Macrophage Transglutaminase 2 and the Inflammation of Diet-Induced Obese Male Mice. RNAseq analysis data, continued

description: Part 13 of data for Elizondo et al Adipose Tissue Macrophage Transglutaminase 2 and the Inflammation of Diet-Induced Obese Male Mice. RNAseq analysis data, continued
DOI: 10.17632/34ngdmc5yn
title: Data for: Detection and quantification of prostaglandin E2 in saliva utilizing microextraction by packed sorbent and liquid chromatography-tandem mass spectrometry

description: Analysis method conditions for detection in saliva samples for PGE2 by LCMS/MS_“Online Resource 1”
Calibration curve with known standard concentrations for analyzing PGE2 concentrations in saliva samples_“Online Resource 2”
DOI: 10.17632/fxjm8fb6mw
title: Knee X-ray Osteoporosis Database

description: Osteoporosis is the leading pathological disorder of bones after arthritis affecting millions of people worldwide. The diagnosis of osteoporosis is done by Dual Energy X-ray Absorptiometry (DXA), although it gives good results but its cost is very high and is not readily available and the treatment cost of osteoporosis is also very high so there is a need for some cost-effective and easily available detection system. The researchers are in continuous search of finding new ways of detecting osteoporosis at early stages with less cost and in less time. The researchers mostly use their build in datasets instead of publically available datasets that make the study limited to particular regions and particular populations. To make a detection system, that is accepted worldwide and used as an alternative pre-screening tool there is a need to make the research data-centric which implies researchers from different areas of research and different countries should work on some particular datasets and find a common solution. Inspired by this scenario, we have presented the database for the detection of osteoporosis in this article. The database consists of clinical factors like age, gender, menopause age, other diseases like diabetes, thryroidism, fracture history, lifestyle factors, etc responsible for osteoporosis with the T-score values obtained from the Quantitative Ultrasound System and Knee X-ray for each participant. The main objective of this dataset is to make the research of finding the cost-effective, timely, and accurate osteoporotic detection system data-centric.
DOI: 10.17632/z75s94xb5f
title: Financial Stability Index of Turkey

description: These data set and in particular the financial stability index series is give information about macro-financial structure and financial stability of Turkey which is an important emerging market economies. Since tend financial shocks in relatively large emerging market economies to be contagious, Turkey's financial stability data will be useful and important for empirical analyzes and policy evaluations.
DOI: 10.17632/c3sw32zn4m
title: Test-retest of wireless dry-electrode EEG during a dynamic psychomotor virtual reality task.

description: The study used an immersive VR boxing focus ball protocol as the dynamic psychomotor task, whereby EEG was collected pre, post, and during an immersive VR exergame (VRex) 11 minute task-active interval. 

Baseline Folder: Test-Retest EEG data collected during resting EEG pre (B1 = test, B3 = retest) and post (B2 = test, B4 = retest) VRex.

Test Folder: Task active intervals involved a 3x3-minute focus ball protocol with a one-min rest in between each subsequent round (T1= Test and T2 = Retest).

EEG: A wireless dry-electrode 7-sensor DSI-7 EEG system (DSI-7 SN:2449, Wearable Sensing, LLC, USA) was used. Data was collected at a sampling rate of 300 Hz with the electrode setup (F3, F4, C3, C4, Pz, P3, P4) abiding by the 10-20 International System. Data were pre-filtered by the DSI-7 system, which involved pass of a high-pass filter of 1 Hz and a low-pass filter of 50 Hz. Upon collection, data was referenced against an electrode located on electrode site LE.
DOI: 10.6084/m9.figshare.28034006.v1
title: Supplementary Material for: Comparative efficacy of Ayurveda treatment regimen and Letrozole along with Yoga module in the management of unexplained and anovulatory female infertility; study protocol for a randomized controlled trial

description: Introduction: Infertility is a significant health problem with psycho-social burden for couples. Ayurveda considers a holistic approach, including complex multimodal regimens in managing infertility. Increasing evidence has shown that Yoga as an adjuvant to infertility treatment increases pregnancy rates. Therefore, this research will investigate the comparative efficacy of Ayurveda regimen and Letrozole, along with integration of Yoga in both groups in female infertility. Methods: The primary outcome, ovulation rate, will be measured through serial transvaginal sonography (TVS) for six consecutive menstrual cycles. The secondary outcome, conception rate, will be measured by definitive signs of pregnancy. Participants' quality of life will be assessed using the Ferti Quality of Life (FertiQOL) tool. The study will randomize 160 women aged 21 to 40 years diagnosed with anovulatory or unexplained infertility into two groups using permuted block randomization. Participants in group I will receive internal oleation with Phala Ghrita (PG) and mild purgation with Gandharvahasta (GH) oil for three consecutive cycles. Standard care group II participants will receive Letrozole tablet once daily from day 3 to day 7 of the menstrual cycle for three cycles. The yoga instructor will take yoga sessions for participants of both groups for 6 months. This study will also use machine learning (ML) models to compare two regimens to predict improvements in outcome variables. The goal is to develop an online platform that aids personalized treatment planning and enhances clinical decision-making. Discussion: This will be the first study to generate evidence on the efficacy of integrated treatment regimens in female infertility, where predictive ML models will be developed.
DOI: 10.17632/6p8tdn5vmm
title: western blots for Mol. Cell

description: This dataset is described in the manuscript "Gene architecture and sequence composition underpin selective dependency of long RNAs on components of the nuclear export pathway". See Methods section in the paper, particularly "Western blot".
DOI: 10.17632/h24ctmyx73
title: A Systematic Review of Unsupervised Defect Prediction Dataset

description: This dataset is about a systematic review of unsupervised learning techniques for software defect prediction (our related paper: "A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction" in Information and Software Technology [accepted in Feb, 2020] ). We conducted this systematic literature review that identified 49 studies which satisfied our inclusion criteria containing 2456 individual experimental results. In order to compare prediction performance across these studies in a consistent way, we recomputed the confusion matrices and employed MCC as our main performance measure. From each paper we extracted: Title, Year, Journal/conference, 'Predatory' publisher? (Y | N), Count of results reported in paper, Count of inconsistent results reported in paper, Parameter tuning in SDP? (Yes | Default | ?) and SDP references(SDPRefs OrigResults | SDPRefs |SDPNoRefs | OnlyUnSDP). Then from within each paper, we extracted for each experimental result including: Prediction method name (e.g., DTJ48), Project name trained on (e.g., PC4), Project name tested on (e.g., PC4), Prediction type (within-project | cross-project), No. of input metrics (count | NA), Dataset family (e.g., NASA), Dateset fault rate (%), Was cross validation used? (Y | N | ?), Was error checking possible? (Y | N), Inconsistent results? (Y | N | ?), Error reason description (text), Learning type (Supervised | Unsupervised), Clustering method? (Y | N | NA), Machine learning family (e.g., Un-NN), Machine learning technique (e.g., KM), Prediction results (including TP, TN, FP, FN, etc.).
DOI: 10.17632/kvnj4kxvbr
title: Raw data for ITS and 18S Metagenomics of wild Brassica napus 

description: Microbiome dataset of eukaryotic and fungal communities in the bulk soil and root of wild Brassica napus in South Korea.

ASV tables contained a relative abundance of each ASVs, sequences, and taxonomic information.
DOI: 10.6084/m9.figshare.17032328.v1
title: EU-Trees4F Dataset

description: EU-Trees4F is available in GeoTIFF format at a resolution of 5 arc-minutes in LAEA (EPSG:3035) coordinate reference system. Projections into future climates were made using two approaches: 1) A climatic ensemble mean that projects the consensus model from Biomod2 into future conditions using the average output of the 11 RCMs. These maps are stored in a binary format in the folder entitled “ens_clim”; 2) An ‘SDM’ ensemble mean that projects the consensus model for every single RCM, and a posteriori averages of the output of the 11 SDMs. These maps are stored in a binary format in the folder entitled “ens_sdms”. For the ‘SDM’ ensemble mean, we provided as well probability maps as GeoTIFF rasters in a WGS84 (EPSG:4326) reference system, together with the associated standard deviation calculated from the 11 consensus models for every single RCM. In a third directory, entitled “single_models” we included GeoTIFF rasters in a WGS84 (EPSG:4326) reference system for the single climate species distribution model realizations. Here, there are three subdirectories: 1) “bin”, representing binaries distributions maps, 2) “prob” and 3) “CV”, representing respectively probabilities distribution maps and associated coefficient of variation maps. The coefficient of variation is relative to the six species distribution models implemented to produce the consensus projection from BIOMOD2.Finally in the directory “pngs”, we provided the output maps of the 67 tree species potential distributions in PNG image format.<br>
DOI: 10.17632/ghvk676j93
title: Data for: Late Paleoproterozoic crustal evolution in the Daqingshan area: Evidences from adakitic and A-type granitoids in the Guyang Changshengqu goldfield, Khondalite Belt, North China Craton

description: The Appendix include an excel file with three sheets. Sheet 1=Whole rock geochemishtry; Sheet 2=LA ICP MS zircon U-Pb dating data; Sheet 3=In-situ zircon Hf isotopic compositions
DOI: 10.17632/ymjkf2w3st
title: Data for: Intelligent Decision-making of Online Shopping Behavior Based on Internet of Things

description: Raw data of "Intelligent Decision-making of Online Shopping Behavior Based on Internet of Things"
DOI: 10.17632/5hrmwfmh5w
title: Supplementary Information: Location-Specific Design of Biogenic Negative Emissions Hubs

description: This a supplementary information for a conference paper entitled, "Location-Specific Design of Biogenic Negative Emissions Hubs" at the 17th International Conference on Greenhouse Gas Control Technologies GHGT-17 on 20th -24th October 2024 in Calgary, Canada.
DOI: 10.6084/m9.figshare.28730537.v1
title: Adjusted Dataset (Stage Comparisons of Performance Changes)

description: Describe later.