cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/smvwr6dk7y.1
title: Pre/Post tests of PSVT: R

description: Research Hypothesis: The hypothesis of the study is that students' spatial visualization ability can be enhanced through coursework and training related to advanced technologies such as 3D modeling and 3D printing. The effectiveness of improvement may vary among students, considering factors such as gender, major, and pre-existing spatial ability levels.
Data Description: The dataset primarily presents the results of spatial visualization ability tests administered to students before and after the implementation of the coursework. Additionally, it includes demographic information such as gender, major, and spatial ability levels. The assessments utilized the Revised Purdue Spatial Visualization Test: Rotations (Revised PSVT: R), a widely recognized tool for evaluating an individual's spatial visualization capacity, particularly in mental rotations.
Interpretation and Significance: The data serves as a valuable resource for researchers, educators, and psychologists, offering insights into the impact of coursework and training on students' spatial visualization abilities. The dataset facilitates an understanding of the varying effects based on individual characteristics, contributing to the development of strategies aimed at enhancing spatial visualization skills.
DOI: 10.17632/m4jrt9snhv.1
title: Gender Differences in Functional Limitations of Frail Older People Ageing in Place Alone in Italy

description: The dataset includes data collected for the study "Inclusive ageing in place” (IN-AGE), funded by Fondazione Cariplo (Italy), Grant N. 2017-0941. This cross-sectional qualitative survey was carried out in 2019 in both urban and rural sites of three Italian regions (Lombardy, Marche, and Calabria). Semi-structured interviews were administered face-to-face to a purposive sample of 120 frail older people aged 65 years and over (males and females). Inclusion criteria were the following: living at home; alone or with a private personal care assistant (PCA); no cognitive impairment; intermediate mobility between limited/reduced within the home, and outside the home with help; and absence of help by close family members (living in the same urban block/rural building).
The dataset contains socio-demographic dimensions (e.g., age groups, gender, living situation, marital status, education), daily activities performed alone/in autonomy, with help, not performed (i.e., the senior is “not able”), and type of support. The dataset puts in relation the difficulties of older men and women in carrying out Basic and Instrumental Activities of Daily Living (ADLs-IADLs), in addition to two mobility limitations (going up/down the stairs and bending to pick up an object), and sensory limitations (hearing and eyesight). The level of physical limitations is further assessed with four grades: “mild” when older person is able to perform all the activities (no activity labelled “not able” is referred); “moderate” when older person is unable to perform one-two activities; “high” when older person is unable to perform three-four activities; “very high” when older person is unable to perform five or more activities. The following sources of support are addressed: relatives/children, friends, neighbours, operators from private services (e.g., Domestic Home Helper, DHH), from public services (e.g., Home Care Worker, HCW), and personal/private care assistant (PCA). 
Main results show that men are more limited than women, and cleaning the house, shopping, bathing/showering, and washing the laundry are overall the most difficult activities, but particularly for men. The family, especially children, represents the greater support for both genders, in addition to public/private services. However, older men are supported by HCWs and PCAs more than women, and the latter are supported by DHHs and friends/neighbours more than men. For both genders, some limitations, i.e., poor mobility, poor eyesight and hearing, and poor memory, affect transversally several activities of daily living. These results can offer insights for policymakers to develop adequate policies, taking in consideration the gender dimension.
The dataset is provided in open format (Microsoft Excel) and includes the following: a “numeric” dataset regarding the un-labelled dimensions used for statistics elaboration; a codebook with the complete variables list and variables labels we used.
DOI: 10.17632/86x733xkb8.1
title: Dataset of Arabic Spam and Ham Tweets

description: The data was analyzed in this article. Please cite it or cite the data article:
Kaddoura, S., Alex, S. A., Itani, M., Henno, S., AlNashash, A., & Hemanth, D. J. (2023). Arabic spam tweets classification using deep learning. Neural Computing and Applications, 1-14.

The data are collected from Twitter using Twitter API
between January 27, 2021, and March 10, 2021. The download tweet information is Tweet ID, DateTime, URL, Tweet Text, User Name, Location, Replied Tweet ID, Replied Tweet User ID, Replied Tweet Username, Retweet Count, Favorite Count, and Favorited.

The dataset contains 13241 records. Each record represents a tweet. The tweets are labeled either Ham or Spam. Ham means non-spam tweet. There are 1924 Spam tweets and 11299 Ham tweets. The tweets are unique i.e. there are no repeated tweets records.
DOI: 10.17632/yp8nb9s8dp.1
title: Solution to the Inverse Velocity Problem of a 5-DOF Parallel-Serial Manipulator. MATLAB Files

description: This dataset presents MATLAB files that solve the inverse velocity problem for a 5-DOF hybrid (paralell-serial) manipulator, presented in paper https://doi.org/10.1007/978-3-031-32446-8_36. The corresponding paper describing the applied algorithm will be presented in Journal of Mechanisms and Robotics. Please check the list of works at https://orcid.org/0000-0002-3928-5440.

The dataset is based on the previous dataset (https://doi.org/10.17632/vct5jzkzk6.1), which solves the inverse position problem for the same manipulator. It includes the following functions and folders:

1. Function "main.m" is a complete program, which solves the inverse velocity problem and plots the results. It can be run using "Run" or "Run and Advance" commands in the "Editor" tab.
2. Folder "Init" includes function "initParams.m," which sets the geometrical parameters of the considered manipulator.
3. Folder "Kinematics" includes:
 3.1. Function "ikp.m," which solves the inverse position problem using auxiliary functions from the "Auxiliary" subfolder.
 3.2. Function "ivp.m," which solves the inverse velocity problem.
 3.3. Function "circle.m," which sets the trajectory used for the analysis.
4. Folder "Plot" includes:
 4.1. Function "plotIVP.m," which plots the solution of the inverse velocity problem.
 4.2. Function "plotTraj.m," which plots the trajectory set in "circle.m" and used for the analysis.
 4.3. Function "plotMech.m," which plots the manipulator in the specified configuration.
 4.4. Function "plotSettings.m," which provides plot settings for the plots generated by "plotTraj.m" and "plotMech.m."
 4.5. Subfolder "Figures," which contains the results of the previous simulations.
DOI: 10.17632/wktkgz7ykj.1
title: LINF_210026800

description: Proteasome subunit alpha type; Leishmania infantum (strain JPCM5)
DOI: 10.17632/4gdh3brdkk.1
title: LINF_210026900

description: cytochrome c oxidase subunit VI | COX6; Leishmania infantum (strain JPCM5)
DOI: 10.17632/b24d2gbfpp.1
title: In search of microbial indicators of marine ecosystem health: using taxonomy as a potential endpoint

description: Numerical data showing concentrations of metals (As, Ba, Bi, Cd, Co, Cu, Cr, Mn, Ni, Pb, Sb, Sn, Zn - shown as EF= enrichment factors), Hg, TBT, total nitrogen and phosphorus and toxicity level (EC50, Microtox test) measured in 67 surface sediment samples collected in ten polluted areas in the northern Adriatic (Croatia): port of Pula (mark PU), port of Rijeka (mark RI), Raša Bay (mark RA), Bakar Bay (mark BA), and in the southern Adriatic (Croatia): Šibenik Bay (mark SI), eastern part of Kaštela Bay - Vranjic Basin (mark VR), and port of Split (mark ST) as well as in reference areas: Cape Kamenjak (mark CK), Zlarin Island (mark CZ) and Vis Island (mark CV).
DOI: 10.17632/rwmd7zfbjg.1
title: Endoglin/hsa_circ_0088704 promotes diabetic cardiomyopathy through miR-138-5p-dependent regulation of cardiac fibrosis

description: primary data
DOI: 10.17632/b299x68yj7.1
title: Leishmania major (Friedlin): fasta files for protein-coding genes, coding sequences (CDS) and protein sequences

description: A de novo assembly of the 36 chromosomes for Leishmania major (Friedlin strain) was attained in 2021 [see: Camacho, E., González-de la Fuente, S., Solana, J.C., Rastrojo, A., Carrasco-Ramiro, F., Requena, J.M., and Aguado, B. (2021). Gene annotation and transcriptome delineation on a de novo genome assembly for the reference leishmania major Friedlin strain. Genes (Basel). 12, 1359. PMID: 34573340]
The sequence of the genome can be downloaded at:
- Mendeley data: LMJFC_Genome sequence (https://data.mendeley.com/datasets/mcxg7rt2rv/1)
- TriTrypDB: https://tritrypdb.org/tritrypdb/app/workspace/strategies/326805833/431018853
- Leish-ESP: http://leish-esp.cbm.uam.es/

In this Mendeley data entry, the following files can be downloaded: 
- LMJFC_ProteinCodingGenes_24may23.Fasta [Fasta file with sequences of the gene models for all protein-coding genes annotated to date]
- LMJFC_CDS_24may23.Fasta [Fasta file with the sequences of the protein-coding sequences (CDS) annotated to date]
- LMJFC_Proteins_24may23.Fasta [Fasta file with the sequences of the proteins annotated to date]

These archives would be valuable for whole-organism approaches, such as differential gene expression, proteomics, and phylogenetic analyses, among others. 
Our commitment is to update this entry as soon as annotation improvements are produced.
DOI: 10.17632/c5ptd8vk7z.1
title: ZooMS data of Xibaimaying site

description: This dataset consists the ZooMS rawdata (.mzml) and identification results of 39 bone fragments from Xibaimaying. Xibaimaying is an open-air Palaeolithic site located in the Nihewan Basin. Samples were collected from the 2015 digging campaign, from the layers dated back to 50-30 ka BP.
DOI: 10.17632/gjn65wvvwy.1
title: Paper/PMMA hybrid device with a microvalve-controlled design for exosome isolation and analysis.

description: This study proposes a paper/PMMA hybrid device designed to isolate exosomes and extract exosomal miRNA, followed by quantitative analysis. The paper/PMMA hybrid device with a microvalve-controlled design can provide simplified and convenient sample preparation for point-of-care testing (POCT) applications. The mechanical microvalve can exert high pressure on the paper, squeezing the porosity in the paper and thereby adjusting the flow rate and programming the fluid flow direction to make the extraction of miRNA successful. Here, we provide four Excel files that are the source files for plotting Figures 4-6 in the paper. The experimental data were recorded in these files. The file named "Flow Rate Test" shows the time of fluid flowed over the 5 distances on the paper pressed by the valve with different turns (0, 2, 5, and 7 turns) of the screw. The second file, PELISA, contains the records about the quantification analysis of paper-based ELISA. The third file, “Different samples for extraction", presents the Ct values for samples of two different volumes of cell culture media (CCM) solution and 10 uL of standard exosome solutions prepared in two concentrations. The fourth file, Extraction kit and the device, shows the Ct values for comparing the commercial extraction kit and the paper/PMMA hybrid device.
DOI: 10.17632/2bbsx9xsk6.2
title: Construct validity of Feeling Scale and Felt Arousal Scale in Portuguese exercisers

description: The attached .xlsx file shows anonymized participant data from pre- and post-exercise ratings of the Feeling Scale, the Felt Arousal Scale and the affective valence and arousal sub-scales of the Self-Assessment Manikin for a validation study of these instruments into Portuguese language.

Attached are the translated Feeling Scale and Felt Arousal Scale .pdf files in portuguese language.
DOI: 10.17632/bvv24kh59p.1
title: LINF_210027300

description: SET29; Leishmania infantum (strain JPCM5)
DOI: 10.17632/256hh7tg6n.1
title: LINF_210027700

description: V-type proton ATPase proteolipid subunit; Leishmania infantum (strain JPCM5)
DOI: 10.17632/4hjx9zfcz5.1
title: LINF_210027400

description: pseudouridine synthase | Cbf5 | TruB; Leishmania infantum (strain JPCM5)
DOI: 10.17632/hxz8wfj3mk.1
title: LINF_210027500

description: ATP synthase F1 subunit gamma protein | ATPF1G; Leishmania infantum (strain JPCM5)
DOI: 10.17632/mj2h9yngkw.3
title: Open Source System for Monitoring Wireless Outdoor Networks in Mining

description: The S11D mining complex in Brazil, situated in Pará state, extracts 20 million tons of iron each quarter. Connecting via a standard 802.11b/g/n wireless network is crucial for mine operations across vast distances. A local team employs a network monitoring tool called Ekahau Site Survey to guarantee the proper functioning of the network. However, due to the harsh terrain and dangerous nature of S11D operations, this tool fails to gather data from all points of interest, leading to interpolated maps that may not accurately represent the network's overall quality. In this work, we propose a platform that can be attached to mobile machines during operations to automatically collect network parameters such as channelization, RSSI, latency, packet loss, and bandwidth without human intervention. Using this network data, we generate an RSSI map using Kriging, which the local team can use. Comparison tests conducted in the laboratory and the field demonstrate that the platform performs similarly to Ekahau in capturing network parameters, ensuring its use in day-to-day operations for mapping.
DOI: 10.17632/3xrwsp5893.4
title: Ground-level, hyperspectral and thermal remote data from wheat genotypes grow under various combinations of water and nitrogen availability

description: In this data we provide different agronomic variables and sensor readings (reflectance spectra and canopy temperature) from an agricultural crop rotation under Mediterranean conditions. The data were obtained in Central Spain after collecting plant samples in a field experiment during two growing seasons: 2018-2020 and 2019-2021. These variables represent the crop response of two wheat (Triticum aestivum L.) genotypes to different precedent crops (legume versus non-legume), nitrogen fertilization and water levels, as well as the readings of leaf-clip and proximal sensors in different growth stages.
+ Value of the data:
Data relating agronomic and sensor information from different wheat genotypes under nitrogen and water interactions will be useful for understanding crop performance and optimizing irrigation and nitrogen fertilization. 
The present dataset could help researchers and farmers to identify suitable genotypes and their responses to nitrogen and water stress.
+ Detailed description:
The file ‘Grain yield, GNC and N output of wheat.xlsx’ contains the specific year in which each sample was taken is indicated in the database, the dry biomass (kg ha-1), carbon and nitrogen concentration (% C and %N), C/N ratio and N uptake (kg N ha-1) measured in wheat at flowering in the different treatments every year (Wheat Biomass.xlsx). In addition, the dataset contains the wheat grain yield (kg ha-1), % C, % N, C/N ratio and N output (kg N ha-1) at harvest in the two years were recorded. 
The files ‘Dualex readings.xlsx’ and ‘Greeseeker readings.xlsx’ contains the chlorophyll (Chl), flavonoid (Flav), anthocyanin (Anth) content and the nitrogen balance index (NBI, calculated as the ratio Chl/Flav) measured with the leaf-clip sensor Dualex®, and the normalized difference vegetation index (NDVI) taken with the proximal sensor GreenSeeker® at three different growth stages (GS) for all genotypes and treatments.
The file ‘Reflectance of wheat.xlsx’ contains the hyperspectral wheat reflectance measured at five GS in all treatments.
The file ‘Thermal data of wheat.xlsx’ contains the canopy temperature acquired at three GS in all treatments. Additionally, dry and wet bare soil temperature was measured as well as the air temperature. 
Suplementary material for the article is also available as a pdf file.

These data are associated with the following article, please cite this article if data are used.
Raya-Sereno, M. D., Camino, C., Pancorbo, J. L., Alonso-Ayuso, M., Gabriel, J. L., Beck, P. S. A., & Quemada, M. 2024. Assessing wheat genotype response under combined nitrogen and water stress scenarios coupling high-resolution optical and thermal sensors with radiative transfer models. European Journal of Agronomy, 154, 127102. https://doi.org/10.1016/j.eja.2024.127102
DOI: 10.17632/239hvsw3n2.1
title: Zircon trace elements from Triassic units of northern Chile (24°-26°S)

description: The dataset comprises the trace element concentration of detrital and igneous zircons from Triassic units collected from northern Chile (24°-26°S). Individual U-Pb zircon ages are reported in Espinoza et al. (2019), Espinoza et al. (2021), and Espinoza (2019).
DOI: 10.17632/yftyj2cj9f.1
title: viscosity data of molten alumina and zirconia

description: This is the processed data relevant to the viscosity calculation of molten alumina and zirconia
DOI: 10.17632/t8cncxrfh2.1
title: Bathymetry mapping using Unmanned Surface Vehicle

description: This repository contains bathymetry data for Grand Lake, Oklahoma, along with a Python script for interpolating and visualizing the lake's bottom elevation. The dataset, titled "Horse Creek Cove Bathymetric Data 2020 Survey Manuel.csv," includes depth measurements (latitude, longitude, and depth) collected using an Unmanned Surface Vehicle (USV) named "MANUEL." The provided Python script performs interpolation to estimate depths at locations not directly sampled, generating detailed bathymetric plots of the lakebed. These visualizations offer a comprehensive understanding of the underwater topography of Grand Lake.
DOI: 10.17632/5zkmndssff.2
title: Adipocyte fatty acid-binding protein oversecretion hinders intestinal stem cell differentiation and gut repair

description: Uncropped western blot in Figures2,6 and 7
DOI: 10.17632/xmctnsgs7v.1
title: Underlying data: Spatial distribution in surface aerosol light absorption across India

description: The dataset contains the measured PM2.5 concentrations (µg/m^3), spectral absorption coefficients (Mm^-1), mass absorption cross-section (m^2/g), absorption Angstrom exponents, and the estimated fraction of absorption by brown carbon particles.
DOI: 10.17632/r4hpdddp7g.1
title: A single-blind, randomized controlled study of the effect of pressure and non-pressure dressings on postoperative complications in patients with mixed hemorrhoids

description: To compare the clinical effects of non-pressure and pressure dressings on the postoperative complications of modified Milligan–Morgan hemorrhoidectomy.
A total of 186 participants were randomly assigned to the non-pressure dressings group and the pressure dressings group. The incidence of acute urinary retention and medical adhesive-related skin injury, pain, hemostatic effect, anal distension, anal edema, use of analgesics, length of hospital stay and hospitalization costs were compared between the two groups.
DOI: 10.17632/77g8zfg6d9.1
title: LDHU3_03.0070

description: glycerol-3-phosphate acyl transferase; Leishmania donovani
DOI: 10.17632/krhvmpnkmk.1
title: Chronic consumption of orange juice modifies urinary excretion of flavanone gut- derived metabolites through gut microbiota modulation

description: This study evaluates the effect of acute and chronic consumption of orange juice (OJ) on the urinary excretion of gut- derived flavanone metabolites and the gut microbiota. Health volunteers ingested 500 mL of
OJ for 60 days in a single-arm human intervention study.
DOI: 10.15468/dl.ae329h
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The Coleoptera collection (EC) of the Muséum national d'Histoire naturelle (MNHN - Paris)",
 "Geometry POLYGON((-316.9803 -12.02249,-316.41644 -12.02249,-316.41644 -11.30104,-316.9803 -11.30104,-316.9803 -12.02249))"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004253-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/77g8zfg6d9.2
title: LDHU3_03.0070

description: Glycerol-3-phosphate acyl transferase | GAT; Leishmania donovani
DOI: 10.17632/6kfbpr73w6.1
title: Gahlot et al. Mol Cell 2024_Part 1: Figure 1

description: Raw data for the manuscript "Lysosomal damage sensing and lysophagy initiation by SPG20-ITCH" by Gahlot et al.
Original microscopy imaging files, uncropped western blots, uncropped Coomassie gels and automated image analysis pipelines used for the quantification of microscopy data.
The set is split into 8 parts because of data size (max upload per set is 10 GB).
Part 1: Figures 1A-G and S2C
Part 2: Figure 1F-G
Part 3: Figures 2-5 and S8A-B
Part 4: Figures 6, S1 and S9A
Part 5: Figure S2
Part 6: Figure S2D-E (n2)
Part 7: Figures S3-S7
Part 8: Figures S8-S10
DOIs for other parts:
Part 2: DOI: 10.17632/3fjzxbr679.1
Part 3: DOI: 10.17632/988rrt5dk8.1
Part 4: DOI: 10.17632/8bjbtwc2fp.1
Part 5: DOI: 10.17632/pvz62pdt4n.1
Part 6: DOI: 10.17632/gdhpxjpsp5.1
Part 7: DOI: 10.17632/k5grf4464j.1
Part 8: DOI: 10.17632/mhzfnvnfws.1
DOI: 10.17632/f7fvmmsd86.3
title: WristSense-VendorData

description: The dataset to be published was generated through exploratory case studies conducted on wrist-worn devices from three vendors: Huawei, Amazfit, and Xiaomi. The specific devices investigated include the Huawei Fit 2 Smartwatch and Band 7, Amazfit Band 7, and Xiaomi Watch 3. These devices operate on different operating systems, namely Android Wear, Zepp OS, and Wear OS.

The data collection period for each device varies, with Huawei having approximately one year of data collected, while the other devices have shorter durations. All wrist-wear devices from different vendors were connected to an iPhone 11 mobile device, which acted as the host device. The iPhone facilitated data synchronization and provided access to the data through the respective health applications provided by the vendors.

To extract the data, MD-NEXT was employed, and the extracted data was further analyzed using the MD-RED tool. These tools were chosen due to their recognized forensically sound capabilities. As a result, the dataset contains data that is considered suitable for use in digital forensics fields.

Overall, the dataset provides valuable information obtained from wrist-worn devices, covering multiple vendors, operating systems, and data collection periods. Researchers in the digital forensics field can utilize this dataset for various investigative and analytical purposes.