cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jx3bfy94hh
title: Data for: Application of abscisic acid at veraison improves red pigmentation and accumulation of dietary antioxidants in red table grapes cv. Red Globe at harvest
DOI: 10.17632/md7f7c5pzn
title: ENRICH: multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry

description: A new synthetic, multi-purpose dataset - called ENRICH - for testing photogrammetric and computer vision algorithms. Compared to existing datasets, ENRICH offers higher resolution images also rendered with different lighting conditions, camera orientation, scales, and field of view. Specifically, ENRICH is composed of three sub-datasets: ENRICH-Aerial, ENRICH-Square, and ENRICH-Statue, each exhibiting different characteristics. The proposed dataset is useful for several photogrammetry and computer vision-related tasks, such as the evaluation of hand-crafted and deep learning-based local features, effects of ground control points (GCPs) configuration on the 3D accuracy, and monocular depth estimation.


Each zip file in the root is relative to a specific dataset:

- ENRICH-Aerial, is an aerial image block of the city of Launceston, Australia. The acquisition is performed by simulating a typical oblique aerial camera with five views (nadir and four oblique views).
- ENRICH-Square, is a ground-level dataset of a square captured by four cameras, each one moving on a different path with different focal length, orientation, and lighting conditions.
- ENRICH-Statue, is a ground-level dataset portraying a statue (placed in the center of the ENRICH-Square scene), acquired using four cameras moving on different paths with different focal lengths, orientations, and lighting conditions.

Be sure to check the README file in the dataset root for information on folder structure and file contents. Please refer to the related paper (https://doi.org/10.1016/j.isprsjprs.2023.03.002) for information about the generation method and the purpose of ENRICH.
DOI: 10.6084/m9.figshare.25097525.v1
title: Supplementary Data for the manuscript "Sexual dimorphism in the tardigrade <i>Paramacrobiotus metropolitanus</i> transcriptome"

description: This repository contains supplementary data from the manuscript "Sexual dimorphism in the tardigrade <i>Paramacrobiotus metropolitanus</i> transcriptome"
DOI: 10.6084/m9.figshare.21547899.v1
title: commoditydata.csv

description: This is the research data used for the paper: Commodity momentum and reversal: Do they exist, and if so, why? The data set including commodity futures data and Fama-French asset pricing factors from September 1960 to September 2020.
DOI: 10.6084/m9.figshare.27156201.v1
title: An X-ray absorption spectrum database for iron-containing proteins

description: Earth-abundant iron is an essential metal in regulating the structure and function of proteins. This study presents the development of a comprehensive X-ray Absorption Spectroscopy (XAS) database focused on iron-containing proteins, addressing a critical gap in available high-quality annotated spectral data for iron-containing proteins. The database integrates detailed XAS spectra with their corresponding local structural data of proteins and enables a direct comparison of spectral features and structural motifs. Utilizing a combination of manual curation and semi-automated data extraction techniques, we developed a comprehensive dataset from an extensive review of literature, ensuring the quality and accuracy of data, which contains 437 protein structures and 1954 XAS spectrums. Our methods included careful documentation and validation processes to ensure accuracy and reproducibility. This dataset not only centralizes information on iron-containing proteins but also supports advanced data-driven discoveries, such as machine learning, to predict and analyze protein structure and functions. This work underscores the potential of integrating detailed spectroscopic data with structural biology to advance the field of biological chemistry and catalysis.
DOI: 10.17632/55xmkyrssh
title: The Globalization of Corporate Control

description: Reproduction materials for "The Globalization of Corporate Control"
DOI: 10.17632/9j94cwxx28
title: Human Brain Small Extracellular Vesicles Contain Selectively-Packaged, Full-Length mRNA

description: Small extracellular vesicles (sEVs) were isolated from human postmortem brain tissue from 12 Alzheimer's disease and 12 non-disease brains using a sucrose density gradient ultracentrifugation protocol adapted from Vella et al 2017. sEVs were RNAase treated to digest extravesicular RNAs. RNA-Seq libraries were generated using poly-A selection and sequenced on Illumina HiSeq and PacBio Sequel II. Raw sequencing data uploaded to European Genome-phenome archive under accession number EGAS50000000029. These data are controlled-access and require a signed data use agreement between the data access committee (DAC) and the user.

Small extracellular vesicles were also collected from homogenous cultures of murine primary neurons, microglia, or astrocytes. Poly-A selection was again used for cDNA library preparation. Libraries were sequenced on Illumina NovaSeq and PacBio Sequel II. Raw data is available from GEO under accession numbers GSE243611 and GSE255462.
DOI: 10.17632/mw925jcwy2
title: Data for: Response Surface Based Experimental Analysis and Thermal Resistance Model of a Thermoelectric Power Generation System
DOI: 10.17632/3z6mjk39jv
title: Datasets of ionospheric parameters (TEC, SI, positioning errors) from Lisbon airport area for 2014-2019

description: Here we present datasets based on data from a GNSS receiver with the  SCINDA software installed in Lisbon airport area from December 
of 2014 to February of 2019. The installed equipment was a NovAtel EURO4 with a JAVAD Choke-Ring antenna. 

The presented data consists of 2 parts: 
(1) data produced by SCINDA;
(2) processed data. 

The presented datasets cover the time interval from December 2014 to February 2019, except for the SCINDA data for 2015, which can 
be found in a companion dataset "Datasets of ionospheric parameters provided by SCINDA GNSS receiver from Lisbon airport area" (DOI: 10.17632/kkytn5d8yc.1).
All the data are in an archived format and have 1 min cadence. 

The data produced by SCINDA include the general messages on quality of records (*.msg), random number generator files (*.rng), raw 
observables as the signal-to-noise (S/N) ratios, pseudoranges and phases (*.obs), receiver position information (*.psn), ionosphere 
scintillations monitor (*.ism) and ionospheric parameters: total electron content (TEC), rate of change of TEC index (ROTI), and the scintillation 
index S4 (*.scn). 

The processed data are the TEC, S4, ROTI and position (latitude, longitude, altitude) extracted from the SCINDA data and processed 
(details can be found in the companion paper https://doi.org/10.6084/m9.figshare.21720524.v1). 
In general the processing includes the removal of outliers and the data from non-GPS satellites, the replacement of missing data by "NA", 
application of the elevation mask to the TEC data (>= 15º). 

Since the receiver was not calibrated when installed we also provide a provisional calibrated TEC data (see the companion paper for details).

The processing of the original SCINDA data was done using 
(1) a dedicated "SCINDA-Iono" toolbox for MATLAB developed by T. Barlyaeva (2019, updated 2022) and available online via MathWorks File Exchange system (https://www.mathworks.com/ matlabcentral/fileexchange/71784- scinda- iono _ toolbox);
(2) scripts for R developed by A. Morozova (2022) and available online via GitHub (https://github.com/anitkageo/SCINDA-R-scripts). 
Both the MATLAB toolbox and the R scripts allow to calculate 1-min and 1-hour means for ionospheric parameters both for each of available 
receiver-satellite pairs and averaged over all available satellites during the analyzed hour, however the toolbox and the scripts are not 
interchangeable (please see the companion paper for more details). 

The provided datasets can be of interest for the GNSS and ionosphere scientific communities.
DOI: 10.6084/m9.figshare.1373870.v1
title: 1:6 scale RM2 cross-flow turbine CAD package

description: CAD files--both for manufacturing and simplified for simulation--of the 1:6 scale Reference Model 2 cross-flow turbine designed, built, and tested at UNH. For more information see the GitHub link below.
DOI: 10.17632/f7pygt7227
title: Cyberbullying among university students: Pathological traits of The Alternative DSM-5 Model for Personality Disorders as a predictor

description: This file contains the whole raw data that collected and analyzed for obtaining the results necessary for accepting or reject the assumptions of the project.
DOI: 10.17632/ym64wgr3n6
title: Can the use of Google Colab improve female and male mathematical analytical thinking in biomedical engineering students?

description: Google Colab is a free product from Google Research, which allows programming in Python from a browser, and is primarily suitable for (1) machine learning, (2) data analysis, and (3) education. Google Colab is an online programming environment that requires no installation. It has basic math (Math), deep learning (TensorFlow), machine learning (Scikit-learn) and graphing (Matplotlib) tools. Like other Google online tools, it has collaborative properties that allow parallel programming by different users, whose work environments are stored in Google Drive. In addition, it is possible to document the codes with multimedia material, and to publish and import from GitHub. 

Therefore, this project aims to use Google Colab as an assistance teaching tool that takes into account the interests and competencies of male and female biomedical engineering students to improve their experience and academic performance. The project proposes to use Google Colab in three ways: (1) implementing study cases in the health area with illustrative materials (e.g., images, sounds, web pages), (2) continuous monitoring by the teacher, and (3) asynchronous collaborative programming. For this purpose, a teacher's guide and a repository of example activities will be implemented in accordance with student feedback. 

The project seeks to develop mathematical analytical thinking to quantitatively interpret measurements of biological systems. On the one hand, male students are expected to increase their interest in mathematical analysis through computational development (characteristic more preferred by men). On the other hand, female students are expected to have online mathematical counseling and study cases in the health area (characteristics more preferred by women). 

The overall goal is to change the dynamics of teaching applied mathematics, which is an important factor of withdraw, mainly of women in engineering. Men and women have different interests and competencies in engineering, and the frequent ignoring of this fact in the teaching process could be a factor in the current gender gap in STEM (Science, Tech, Engineering and Math). 

This proposal is scalable because Google Colab is a free, friendly and executable programming environment in the cloud. It does not involve economic, administrative or infrastructural costs. It is also transferable not only for other blocks and subjects of biomedical engineering, but also for any other engineering, where programming tools are indispensable. Google Colab is a simple and easy to learn environment.
DOI: 10.34740/kaggle/dsv/12021459
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.24117837.v1
title: The Effect of Internet Diffusion on Income Inequality: Cross-Regional Analysis in Indonesia

description: This research tests three hypotheses: 1) Internet diffusion has a significant effect on within-province income inequality in Indonesia; 2) Internet diffusion has a significant nonlinear effect on within-province income inequality in Indonesia; and 3) Internet diffusion has a significant effect on within-province income inequality in Indonesia differing by per capita income and education level. An important finding in this research is that Internet diffusion has a significant effect on income inequality as indicated by the positive influence of the Internet on income inequality between regions. In addition, the influence of the internet tends to be nonlinear and interacts differently with the heterogeneity of each province. The attached data is in .dta and .do format which can be processed with STATA by running the file. All data on each variable was downloaded from the BPS website which was processed into STATA. Several variables such as the Williamson index, real GDP per capita, and proportion of secondary and tertiary sectors were processed by researchers based on basic data from the website. The research method uses IV-2SLS with the Driscoll-Kraay standard error correction model. IneqPaper14.dta is a data set and Paper_2013-2019.do contains commands for processing data set files. IneqPaper15_2013-2019.dta is the final processed data.
DOI: 10.17632/frstygc2vp
title: Data for: Multimodal stress detection: Testing for covariation in vocal, hormonal and physiological responses to Trier Social Stress Test

description: Dataset and supplementary Tables S1-S5
DOI: 10.6084/m9.figshare.28351280.v1
title: Normalised Fe L-edge and C K-edge spectra of particles retrieved from the West Antarctic Peninsula surface ocean: underlying data for Figure 1, 2, and Supplementary Figure S1 in Jones et al. (2025).

description: This is the underlying data for Figure 1, 2 and Supplementary Figure S1 in the following study:Jones et al., (2025) <b>Antarctic glaciers export carbon-stabilised iron(II)-rich particles to the surface Southern Ocean</b>. <i>Nature Communications.</i>
DOI: 10.17632/d43r5ydpx8
title: DEC17 ARESG2 Human Blood Rheology: SS, SAOS, LAOS, STEPS, etc.

description: DEC17 human blood rheology data collected with ARESG2: SS, SAOS, LAOS, Steps, etc.
DOI: 10.17632/64mwjbfcpy
title: CLAY-Cc/6/6203 database

description: The CLAY-Cc/6/6203 database (Ching et al. 2022) covers 6 clay parameters, including liquid limit (LL), plasticity index (PI), water content (w), void ratio (e), compression index (Cc), and unloading-reloading index (Cur). This database contains 6203 clay records compiled from 429 studies, covering 55 countries/regions in 6 continents.

Ching, J., Phoon, K. K., and Wu, C. 2022. Data-centric quasi-site-specific prediction for compressibility of clays. Canadian Geotechnical Journal, 59(12), 2033-2049.
DOI: 10.17632/8bj4jgtgb4
title: Data for: An open-source plugin for OpenSim® to model the non-linear behaviour of dense connective tissues of the human knee at variable strain rates

description: ACL Experimental Data
DOI: 10.17632/bnphpr3bff
title: Code_and_Data_for_IDPM_JIE2022

description: This folder contains the programs and publicly available datasets that are needed to reproduce the results of “Invoicing and the Dynamics of Pricing-to-Market: Evidence from UK Export Prices around the Brexit Referendum,” by Giancarlo Corsetti, Meredith Crowley, and Lu Han, in the Journal of International Economics (2022).
DOI: 10.17632/hkph9rgzc3
title: Data for: dataset of Parenting Practices, Self-Control and Anti-Social Behaviors: Meta-Analytic Structural Equation Modeling

description: This dataset is used to clarify the nexus between effective parenting practices, low self-control, and anti-social behaviors in Gottfredson and Hirschi’s General Theory of Crime (GTC). In order to acquire the data, we conducted the electronic search through ProQuest, PsycINFO, Scopus, and Web of Science, and also the American Society of Criminology, National Criminal Justice Reference Service [NCJRS], Criminal Justice Abstracts. Because the GTC was introduced in 1990, the time frame of this research ranged from 1 January 1990 to 23 September 2019 for all published and non-published research.
DOI: 10.17632/whsm3fvrnx
title: Green Supply Chain

description: Data Set Bibliometric Green Supply Chain
DOI: 10.17632/zb66pp7vjh
title: A Vast Dataset for Kurdish Digits and Isolated Characters Recognition

description: Kurdish language dialects are used across four main nation-states in the Middle East, and only one dialect, Sorani, has official status in one of these nation-states. The majority of Kurdish-speaking regions are located in Turkey, Iraq, Iran, and Syria. More than 30 million people speak Kurdish as a whole, according to estimates. One of the two main dialects of Kurdish, known as Central Kurdish (Sorani), is spoken by an estimated 9 to 10 million people. It is mostly written with a 35-character modified Arabic/Persian alphabet and includes characters that have recently been replaced, such as (ك) which is no longer used by the Kurdish language and has been replaced with (ک). 
This work presents two massive datasets for central Kurdish handwriting digits and isolated characters named K-ZHMARA and K-PIT. The first dataset, named K-ZHMARA dataset, contains 70,000 images of Kurdish digits, 7,000 images for each digit, and a printed A4 paper with a grid of 10 × 10 is used for data collection. Apart from digits, the K-PIT dataset includes 245,000 images of all Kurdish characters, 7,000 images for each character; data was collected via a printed A4 paper with a grid of 12 × 10 for this dataset. Moreover, both datasets include 315,000 images. Then, using Python programming, each piece of paper was scanned, segmented, cropped, resized, binarized, and inverted using edge detection and image processing techniques. Most students from the University of Halabja and the primary and preparatory school in the Halabja governorate volunteered to fill out the forms. Furthermore, these datasets are suitable for Kurdish isolate handwritten optical digit/character recognition.
Labeling and organizing:
Each image is labeled with an ID number, the number of the folder in each dataset represents a single digit or character. For example, folder number 02 in the K-PIT dataset is the id of the letter, which in this case is Alef (ا), and folder number 03 in the K-ZHMARA dataset is the id of the digit, which in this case is three (٣). Each digit and character were stored in a folder with its ID as the name of that folder, with each folder containing 6000 images of that letter/digit for the training and 1000 images for the testing.
DOI: 10.6084/m9.figshare.1171117.v1
title: Compliance report to RCUK from the University of St Andrews

description: RCUK Policy on Open Access: Compliance data report to Research Councils UK for the period 1 April 2013 to 31 July 2014 from the University of St Andrews.
DOI: 10.17632/twp8xw6p25
title: Data for: A composite of BMI and waist circumference may be a better obesity metric in Indians with high risk for type 2 Diabetes: an analysis of NMB-2017, a nationwide cross sectional study

description: This is a dataset of 7496 Asian Indians with the following information: 1. PatientId 2. (Location Info) Zone, State, District 3. (Demographic) Age, Gender 4. (Anthropometric) Waist Circ in cm, Height in cm, Weight in kg 5. (Health and Lifestyle) Self Declared Diabetes, Father/Mother with Diabetes, HbA1C, Physical Activity Based on this data it has various calculated columns pertaining to obesity and other diabetes risk factors
DOI: 10.6084/m9.figshare.22215310.v5
title: Raw_Sensor_Consolidated.csv

description: Data from measurements of Air quality and meteorological variables acquired by the Davis AirLink ® sensor placed in the Fontibon County of Bogotá, Colombia.
DOI: 10.17632/6t2psy2bj9
title: Data for: Ex utero intrapartum treatment (EXIT) for fetal neck masses: a tertiary center experience and literature review

description: A review of current literature between 2012-2017 of cervical fetal neck masses considered for ex utero intrapartum treatment
DOI: 10.17632/dmcdp33ctt
title: UNIGE_DITEN_Touch_Modalities

description: Dataset of 3 touch modalities on a 4x4 piesoelectric array, using a brush, finger and a roller, 10s, at 3Khz. You can find at the references, people who created this dataset at DITEN (Department of Electrical, Electronics, Naval Engineering and telecommunications), at UniGe (University of Genova Italy).
DOI: 10.17632/2c5296ytbr
title: Supplement to Expression of OCT4 isoforms is reduced in primary colorectal cancer

description: Data (data_w_fcs.csv) and R code (report_coca_POU5F1_isoforms.R) to reproduce results in Expression of OCT4 isoforms is reduced in primary colorectal cancer by Turyova E, Mikolajcik P, Grendar M, Kudelova E, Holubekova V, Kalman M, Marcinek J, Hrnciar M, Kovac M, Miklusica J, Laca L, Lasabova Z. The resulting RNotebook report in in report_coca_POU5F1_isoforms.html file.
DOI: 10.17632/kw4jpn5x8y
title: Gene module reconstruction identifies cellular differentiation processes and the regulatory logic of specialized secretion in zebrafish

description: During differentiation, cells become structurally and functionally specialized, but comprehensive views of the underlying remodeling processes are elusive. Here, we leverage single-cell RNA sequencing (scRNA-seq) developmental trajectories to reconstruct differentiation using two secretory tissues as models—the zebrafish notochord and hatching gland. First, we integrated expression and functional similarities to identify gene modules, revealing dozens of modules representing known and newly associated differentiation processes and their dynamics. Second, we focused on the unfolded protein response (UPR) transducer module to study how general versus cell-type-specific secretory functions are regulated. Profiling loss- and gain-of-function embryos identified that the UPR transcription factors creb3l1, creb3l2, and xbp1 are master regulators of a general secretion program. creb3l1/creb3l2 additionally activate an extracellular matrix secretion program, while xbp1 partners with bhlha15 to activate a gland-like secretion program. Our study presents module identification via multi-source integration for reconstructing differentiation (MIMIR) and illustrates how transcription factors confer general and specialized cellular functions.

This repository contains:
1. The microscopy images presented in the study.
2. The preprocessed scRNA-seq data from the UPR TF loss- and gain-of-function assays, in form of Scanpy objects.
3. Codes and scripts for UPR TF target gene inference using the scRNA-seq data.
4. Sequences of the plasmids used for making UPR TF mRNAs
DOI: 10.17632/vwbkc89z2d
title: TAK1 is an essential kinase for STING trafficking,Ma et al.

description: source date of WB and confocal
DOI: 10.6084/m9.figshare.20359860.v1
title: Supplementary materials for the High-resolution surface water dynamics in Earth’s small and medium-sized reservoirs

description: This dataset time series of surface water area for 71208 reservoirs globally derived from optical Landsat and Sentinel-2 satellite imagery acquired during 1985 - 2021, the validation dataset, and the source code used to produce and validate these time series. <br> See
DOI: 10.17632/n4nts7hvvx
title: Raman spectra of Graphene oxide

description: Raman spectra of Graphene oxide with different oxidation degrees were measured at 20°C with a spectrometer Horiba Scientific - LabRAM HR Evolution using laser wavelength of 532 nm in the range from 700 to 3500 cm-1.