cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1367239.v1
title: MGREGA RURAL EMPLOYMENT GENERATION PROGRAMME-A REVIEW

description: MGNREGAis one of the flagship poverty alleviation programme of the government and has been taken very well across the country. It is a symbol of the government’s seriousness in achieving the goals mentioned in the directive principles of state policy. It is one of the most important legislation which has made demand for and getting it a matter of right. It has checked the migratory tendencies from the villages to the cities thereby easing pressure on the urban infrastructure. It has been successful in checking intra-state migration and has helped in realizing the goal of balanced regional development. It has given the subsistence to those teeming millions who were otherwise in perils for want of job or work to meet their both ends. It provides an alternative source of livelihood which will have an impact on restricting child labour and making villages self sustaining through productive assists creation like road construction, cleaning up of water tanks, soil and water conservation work, construction of lanes, drains.
DOI: 10.6084/m9.figshare.19790734.v1
title: Data files and R codes from: Ecological predictors of interspecific variation in bird bill and leg lengths on a global scale

description: This repository contains data files and R codes for Xu et al. Ecological predictors of interspecific variation in bird bill and leg lengths on a global scale. It has two folders. One is dedicated to visualize phylogenetic distribution of relative bill length and tarsus length. The other is for performing phylogenetic linear regressions and phylogenetic path analyses. The latter contains two subfolders, one corresponding to the classification of migration by BirdLife International, and the other based on the classification of migration by Tobias et al. 2022.
DOI: 10.6084/m9.figshare.24522883.v2
title: <b>Digital mammography Dataset for Breast Cancer Diagnosis Research (DMID)</b>

description: This dataset contains images of mammograms and <b>can be used for research and education purposes only.</b> The dataset contains DCM images, TIFF images, a Radiology report, a Segmented mask, and pixel level annotation on abnormal regions and csv file that contains other metadata.
DOI: 10.6084/m9.figshare.5126179.v1
title: Supplementary Material for: Ultrasonographic Study of Initial Size and Postnatal Growth of Kidneys in Preterm Infants

description: <b><i>Background:</i></b> Preterm birth is known to be associated with risks of impaired nephrogenesis. <b><i>Objectives:</i></b> To determine the normal range of renal sizes at birth in preterm infants as well as their short-term postnatal renal growth, to assess the correlation between initial renal size and growth parameters at birth and to compare the initial and serial renal sizes between appropriate-for-gestational-age (AGA) and small-for-gestational-age (SGA) preterm infants. <b><i>Methods:</i></b> Initial ultrasonography (US) was prospectively performed in 125 preterm infants within the first 72 h of life and every 2 weeks thereafter until a postmenstrual age (PMA) of 37 weeks was reached. Correlation between renal size and growth parameters was investigated. Renal lengths of AGA and SGA preterm infants were compared with those of age-matched fetuses described in the literature. <b><i>Results:</i></b> The renal sizes at birth in preterm infants are presented. Multiple regression analysis showed the strongest correlation between initial renal size and birth weight (p &lt; 0.0001). Initial renal lengths of AGA infants were not significantly different from those of age-matched fetuses at ≥30 weeks' gestational age (GA), whereas those of SGA infants were significantly smaller at ≥28 weeks' GA. Serial renal lengths of SGA infants were significantly smaller than fetal renal lengths at ≥30 weeks' GA. <b><i>Conclusion:</i></b> With US, the normal range of initial renal sizes of AGA preterm infants was defined according to GA. In contrast to AGA infants, SGA infants showed smaller initial renal sizes and no significant catch-up growth until a PMA of 37 weeks.
DOI: 10.6084/m9.figshare.7829795.v1
title: Additional file 3: of Correction to: DNA copy number evolution in Drosophila cell lines

description: Genome-wide copy number in cell lines and copy number breakpoints. (XLSX 21852 kb)
DOI: 10.25381/cput.13194041.v2
title: Modelling drying and autogenous shrinkage of high strength concrete with and without mineral and chemical admixtures

description: The data spreadsheet contains a compiled collection of published datasets from all around the world, each referenced accordingly. The spreadsheet also includes the specific datasets used in the study conducted by Noordien (2020) "Modelling drying and autogenous shrinkage of high strength concrete with and without mineral and chemical admixtures".
DOI: 10.6084/m9.figshare.19330682.v1
title: Endometriosis Dataset Description and Mean Standard Calculation

description: Contain Mean and Standard devation calculation for Uterus, Ovary, Peritoneum and Deep infiltrating endometriosis.<br>Dataset Description of Endometriosis
DOI: 10.6084/m9.figshare.24475003.v2
title: Black-box models for TERP interpretation

description: TERP is a post-hoc interpretation scheme for explaining black-box AI predictions. TERP works by constructing a linear, local interpretable model that approximates the black-box in the vicinity of the instance being explained. TERP determines the accuracy-interpretability trade-off by introducing and using the concept of interpretation entropy.This data repository contains the three trained machine learning models: VAMPnets, Vision Transformers models (ViT) - pre-trained (model.ckpt)+ fine-tuned (best-model.ckpt) + fine-tuned_data_randomized (bad-model.ckpt), attention-based bi-directional LSTM) trained on molecular dynamics simulation trajectory of alanine dipeptide, facial attributes of celebrities (CelebA), and Antonio Gulli’s (AG’s) news corpus respectively. The simulated trajectory (dihedral angles) for the molecular dynamics simulation is also provided.
DOI: 10.6084/m9.figshare.25522639.v1
title: MORC2 proteomic

description: Binding protein sequencing of MORC2.
DOI: 10.6084/m9.figshare.25931779.v1
title: Figure data

description: 3D photonic crystal lattice deformation
DOI: 10.6084/m9.figshare.27124545.v1
title: ECT-EC questionnaire

description: A questionnaire survey was conducted with the aim of creating a consensus among experts in the field regarding how to deal with cases of therapeutic seizure induction that are difficult to induce (called difficult-to-induce-seizures electroconvulsive therapy cases (DEC)).
DOI: 10.6084/m9.figshare.28489439.v1
title: <b>Cross-Linguistic Influences: Unassimilated Italian Loanwords in Turkish</b>

description: This study explores the linguistic and cultural dynamics of unassimilated Italian loanwords in Turkish, focusing on borrowings that have retained distinct phonetic and morphological characteristics. Tracing its roots to historical commercial and diplomatic exchanges between the Ottoman Empire and Italian city-states such as Venice and Genoa, the research examines the integration of more than 600 Italian words into the Turkish lexicon.Through a detailed linguistic analysis, the study uncovers the intricate adaptation processes these loanwords undergo to fit Turkish phonological structures. These modifications include consonant substitution, vowel epenthesis, and syllabic restructuring, reflecting the interplay between the phonotactic constraints of Italian and Turkish.By highlighting the complexities of lexical integration, this research offers valuable insights into language evolution, cultural linguistics, and the mechanisms through which languages absorb, modify, and preserve foreign linguistic elements.
DOI: 10.17632/mc7wsp8v9y
title: NCRB cyber-crimes against children in India from year 2017 to 2021 (compiled dataset)

description: NCRB Child pornography and cyber-crimes data from 2017 to 2021 (available freely under public domain on NCRB website). The tables from NCRB reports have been imported to excel file (Sheet CII 2017 and CII 2021 are original datasets from NCRB reports). Frequencies for cases of child pornography and cyber-crimes are used to present data on - Year-over-year Change in Child Pornography and all Cyber-crimes Cases against Children in India (Table 1). States/UTs with Child Pornography and Cyber-crimes against Children (Table 2), Child Pornography and all Cyber-Crimes against Children in Year 2021 (Table 3),; Comparative Analysis of Child Pornography and other Cyber-crimes (Fig 1), Distribution of child pornography cases in total pornography cases (fig 2), Incidence of Child Pornography Reported in Seven States during years 2017 - 2021 (fig 3).
DOI: 10.25452/figshare.plus.27327585.v1
title: iPSCORE ATAC-seq: Transcription Factor Binding Predictions

description: This directory contains three files corresponding to transcription factor binding predictions in ATAC-seq peaks from induced pluripotent stem cells (iPSCs), iPSC-derived cardiovascular progenitor cells (CVPCs), and iPSC-derived pancreatic progenitor cells (PPCs) from the iPSCORE Collection. Transcription factor binding predictions were calculated by TOBIAS (Bentsen et al 2020) using both JASPAR and HOCOMOCO motifs. The files are labeled as [<i>tissue</i>]_<i>JASPAR_</i><i>HOCOMOCO_</i><i>Results_</i>.txt. Each file has the following columns: <b>Tissue</b> the corresponding tissue; <b>Peak_ID</b> the identifier for the ATAC-seq peak; <b>Database</b> the motif database (either JASPAR or HOCOMOCO); <b>TFBS_name</b> the name of the motif; <b>Bound</b> whether the binding site was predicted to be bound by TOBIAS; <b>TFBS_Chromsome</b><i>, </i><b>TFBS_Start</b><i>, </i><b>TFBS_End</b> the genomic coordinates of the binding site in the hg38 build; <b>TFBS_score</b> the score of the binding site calculated by TOBIAS; and <b>TFBS_Strand</b> which strand the binding site is on.
DOI: 10.6084/m9.figshare.11413869.v1
title: tms_gene_data

description: Data for the TMS aging signature analysis paper
DOI: 10.6084/m9.figshare.20337021.v1
title: Raw data of in vitro experiments

description: Raw data including results of PCR experiemnt, CCK8 assay and scratch assay of introducing ACP6 siRNA into HCC cells was attached in the files
DOI: 10.6084/m9.figshare.23659323.v1
title: Realistic fault detection of Li-ion battery via dynamical deep learning approach

description: Accurate evaluation of Li-ion battery (LiB) safety conditions can reduce unexpected cell failures, facilitate battery deployment, and promote low-carbon economies. Despite the recent progress in artificial intelligence, anomaly detection methods are not customized for or validated in realistic battery settings due to the complex failure mechanisms and the lack of real-world testing frameworks with large-scale datasets. Here, we release three datasets comprising over 690,000 LiB charging snippets from 347 EVs. <br> The dataset is released as part of our paper " Realistic fault detection of Li-ion battery via dynamical deep learning approach ".
DOI: 10.6084/m9.figshare.7706069.v1
title: Additional file 4: of Analysis of two birth tissues provides new insights into the epigenetic landscape of neonates born preterm

description: DNA methylation data for cord tissue. (PHENO 1130000 kb)
DOI: 10.17632/bpb8bsrk29
title: Phytochemical composition of the dichloromethane extract from the plant Ageratum houstonianum P. Mill.

description: The aim is to identify the main phytochemical compounds present in the CH2Cl2 fraction of Agerantum hostonianum P. Mill using gas chromatography-mass spectrometry.
DOI: 10.6084/m9.figshare.14279509.v1
title: Translation and Transcultural Adaptation of the Instructional Materials Motivation Survey (IMMS) to Brazilian Portuguese

description: Abstract: Introduction: Several educational methodologies have been used as instructional tools, with the objective of increasing student motivation and promoting meaningful learning. In turn, instruments designed to assess a student’s motivation after being exposed to different teaching strategies and materials can play an important role in reviewing the effectiveness of such methods. In this sense, the Instructional Materials Motivation Survey (IMMS) evaluates student motivation after instructional activities, through four domains: attention, relevance, confidence and satisfaction. This research aimed to perform the translation and cross-cultural adaptation of the IMMS into Brazilian Portuguese. Method: The cross-cultural translation and adaptation was performed in six stages: translation of the original questionnaire; synthesis of translations; back-translation; review by the Committee of Experts; testing of the pre-final version, preparation of the final version and review by the External Committee. The translations were performed by two English teachers, native Brazilian. The back-translations were performed by two English teachers, native English language. The expert committee was formed by a professor of medicine and medical education, two medical professors, a pedagogue, a statistician and an English teacher. The final Brazilian version of the IMMS was tested following a flipped classroom activity aimed at evaluating the internal consistency of the instrument. A Cronbach alpha value of ≥ 0.70 was considered acceptable. Results: In the process of translation and cross-cultural adaptation, all equivalences were achieved: semantic, idiomatic, cultural and conceptual. In the evaluation of internal consistency, of the 52 students submitted to the flipped classroom, 48 (92.3%) correctly answered the Brazilian version of the IMMS. The instrument presented an internal consistency of 0.718, evaluated using the Cronbach alpha test. Conclusions: The final version of the IMMS instrument, after cross-cultural translation and adaptation, maintained all its 36 sentences and the 3 instructions of the original instrument and presented good internal consistency according to the Cronbach alpha test. The possibility of evaluating motivation in the educational context by means of a broadly validated instrument, brings with it gains both in the field of practice and pedagogical research. Use of the IMMS in Brazil will support new validations in national educational settings and diverse contexts.
DOI: 10.6084/m9.figshare.25203260.v3
title: supplementary files for "Proposal of 80 new taxa"

description: supplementary files for "Proposal of 80 new taxa" (TABLE S1 and TABLE S2)
DOI: 10.6084/m9.figshare.28852010.v1
title: RhsFI UV-crosslinking data (CRAC)

description: UV-crosslinking data (CRAC) for RhsFI (ECs0604) from Enterohaemorhaggic E. coli. These data map the position of RhsFI contact throughout the transcriptome of EHEC.
DOI: 10.6084/m9.figshare.5818452.v6
title: LC-QuAD QALD format

description: This is LC-QuAD data set( lc-quad.sda.tech/resources/iswc2017.pdf) is in the QALD format.
DOI: 10.6084/m9.figshare.24411922.v1
title: Input data required to reproduce analysis for Score2

description: Pacini et al identify selective gene dependencies from CRISPR screens in 930 cell lines. Using clinically curated multi-omics data and protein-protein interactions networks, they curate 370 candidate targets and estimate their prevalence in patient tumour cohorts. This enhances understanding of gene depenencies and comprehensively maps targetable cancer dependencies.
DOI: 10.6084/m9.figshare.28944659.v1
title: 1.png

description: <b>Fig. </b><b>1.</b> The DWAAM setup used in this study. (a) The schematic diagram of the DWAAM platform and (b) the arc gun design of the DWAAM (c) the schematic of the DWAAM process, (d) the equipment of the cold wire, and (e) the schematic of the cold wire.
DOI: 10.17632/3cr7fs8r53
title: Data for: Health and Environmental Consciousness Effects of Wealth in Low Income Countries: Evidence from Households’ Energy, Water, and Sanitation Services Consumption in Burkina Faso

description: This R format Dataset of 8065 observations is extracted from the individual recode component of the 2014 United States Agency for International Development’s (USAID) Demographic and Health Survey (DHS) data on Burkina Faso. It is a representative sample of 6500 Households covering the 13 administrative regions in Burkina Faso, and was collected from September 29 to November 28, 2014.
DOI: 10.6084/m9.figshare.12895862.v1
title: Sea-Land Segmentation Using Deep Learning Techniques for Landsat-8 OLI Imagery

description: Automated coastline extraction from optical satellites is fundamental to coastal mapping, and sea-land segmentation is the core technology of coastline extraction. Deep convolutional neural networks (DCNNs) have performed well in semantic segmentation in recent years. However, sea-land segmentation using deep learning techniques remains a challenging task, due to the lack of a benchmark dataset and the difficulty of deciding which semantic segmentation model to use. We present a comparative framework of sea-land segmentation to Landsat-8 OLI imagery via semantic segmentation in deep learning techniques. Three issues are investigated: (1) constructing a sea-land benchmark dataset using Landsat-8 Operational Land Imager (OLI) imagery consisting of 18,000 km<sup>2</sup> of coastline around China; (2) evaluating the feasibility and performance of sea-land segmentation by comparing the accuracy assessment, time complexity, spatial complexity and stability of state-of-the-art DCNNs methods; (3) choosing the most suitable semantic segmentation model for sea-land segmentation in accordance with Akaike information criterion (AIC) and Bayesian information criterion (BIC) model selection. Results show that the average test accuracy achieves over 99% accuracy, and the mean Intersection over Unions (mean IoU) is above 92%. These findings demonstrate that the Fully Convolutional DenseNet (FC-DenseNet) performs better than other state-of-the-art methods in sea-land segmentation, based on both AIC and BIC. Considering training time efficiency, DeeplabV3+ performs better for sea-land segmentation. The sea-land segmentation benchmark dataset is available at: https://pan.baidu.com/s/1BlnHiltOLbLKe4TG8lZ5xg.
DOI: 10.6084/m9.figshare.14186114.v1
title: figshare_alcott_etal.pdf

description: Iron and Phosphorus Speciation data
DOI: 10.6084/m9.figshare.14710770.v1
title: luna16LungPriors.nii.gz

description: lung segmentation weights for u-net
DOI: 10.6084/m9.figshare.23674716.v1
title: Binding_affinity_Plas20k.csv

description: DataSet For Plas20K
DOI: 10.6084/m9.figshare.24845049.v1
title: management_climate&ecological_data_croplandsites.csv

description: A dataset for quantifying the impacts of seven different management practices on the surface albedo of winter wheat fields (nitrogen fertilizer, herbicide, fungicide, sowing, harvest, tillage, and crop residues) by analyzing observed daily albedo dynamics from eight European flux-tower sites with interpretable machine learning (i.e. random forest model). This dataset includes the extracted surface albedo, climate and ecological features, as well as the timings of management practices from ICOS and EFDC database.We also provided the R procedure for random forest modelling in two cropping scenarios (1) during the growing and fallow periods (2) during the fallow periods only .
DOI: 10.6084/m9.figshare.25688703.v4
title: Data and codes for X-SSHM

description: The data and code for manuscript: An explainable spatial interpolation method considering spatial stratified heterogeneity.Due to data protection restrictions, we are unable to share the soil organic matter data publicly. However, mock data with the same data structure, attributes, and data types are provided for demonstration purposes.A step-by-step instruction titled 'Instruction for X-SSHM.docx' is provided (../ex2/Instruction for X-SSHM.docx), utilizing mock data and images to illustrate expected findings.Notice: The research utilized several codes written by Ning Liu (2024): Geographically weighted regression (https://www.mathworks.com/matlabcentral/fileexchange/81011-geographically-weighted-regression, Copyright (c) 2020, Ning Liu) retrieved April 14, 2024. via MATLAB Central File Exchange. Ning Liu is not affiliated with this research.
DOI: 10.6084/m9.figshare.28427711.v1
title: Muscone-specific olfactory protein MjavOBP3 identified as the putative scent-marking pheromone in the Sunda pangolin (Manis javanica)

description: Supplementary data1Supplementary data2Supplementary data3Supplementary data4Supplementary data5Supplementary data6Supplementary data7
DOI: 10.6084/m9.figshare.3085837.v1
title: l1000.db: SQLite database of LINCS L1000 metadata

description: LINCS L1000 measures the transcriptional response to perturbation. `l1000.db` is a SQLite database that we use to store LINCS L1000 data. Our database contains several parts of the L1000 resource that have been converted into user-friendly tables. The database also provides information not available from L1000. Namely, we computed the chemical similarities between L1000 compounds and mapped the L1000 compounds to external vocabularies.<br>+ The `cells` table contains the L1000 cell lines.+ The `sigs` table contains the L1000 signatures.+ The `perts` table contains the L1000 perturbations.+ The `similarity` table contains chemical similarity scores for all compound pairs.+ The `unichem` table contains a mapping of L1000 compounds to external chemical vocabularies.<br>This database does not contain the L1000 expression data, hence we consider it metadata. `l1000.db.bz2` is bzip2 compressed to reduce file size. Decompress before use.<br>We rely on this database when computing consensus signatures for perturbations.<br>If using this database, please attribute this figshare deposition and the LINCS L1000 project. Also please abide by the data release policy for the [NIH LINCS Program](http://www.lincsproject.org/data/data-release-policy/).
DOI: 10.17632/9wk5drynd6
title: M-Commerce Dataset (1996-2020)

description: The M-Commerce research & publication dataset, which was indexed by Scopus from 1996 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID
DOI: 10.6084/m9.figshare.27236814.v1
title: Table S6

description: List of differentially expressed genes identified in the work "Sugarcane yellow leaf virus impairs the transcriptomic defense responses of sugarcane to its new aphid vector <i>Melanaphis sorghi</i>".
DOI: 10.6084/m9.figshare.29146913.v3
title: <b>农村</b><b>作为</b><b>作为发展战略的老龄化：量化运动的多维减贫效果</b>数据

description: <b>农村</b><b>作为</b><b>ctive aging as development strategy: Quantifying exercise's multidimensional poverty reduction effects</b>
DOI: 10.6084/m9.figshare.6165950.v1
title: Data of Grassi Talamini Lazzerini: Pitch discrimination of low and high pitch tones by bassists, violinists and nonmusicians

description: Dataset of the study that compared the pitch discrimination threshold of musicians and nonmusicians.<br>
DOI: 10.17632/xz4xhrc4yr
title: Images of resolved phase patterns of partial discharges in electric generators

description: This dataset contains images of resolved phase patterns of partial discharges tipe corona, superficial and in electric generators