cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vs95hjsmk7
title: Cryptosporidium spp. and Giardia spp. Parasite Image with Distortion (Dataset)

description: This dataset of Cryptosporidium spp. and Giardia spp. was obtained from the Department of Parasitology, Faculty of Medicine, Universiti Malaya with collaboration with PROF. DR. YVONNE LIM AI LIAN (https://umexpert.um.edu.my/limailian). A total of 23 high-resolution reference images were collected.

To construct the training dataset, each reference image was subjected to five types of distortions: Gaussian White Noise (GWN), Gaussian Blur (GB), Salt and Pepper Noise (SnP), Speckle Noise, and JPEG Compression. For each distortion type, 9 levels were applied using the following controlling parameters:

Gaussian White Noise (GWN) — Standard deviation (σ): 10, 20, 30, 40, 50, 60, 70, 80, 90

Gaussian Blur (GB) — Kernel size (σ): 10, 20, 30, 40, 50, 60, 70, 80, 90

Salt and Pepper Noise (SnP) — Noise density (d): 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09

Speckle Noise — Variance (σ²): 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09

JPEG Compression — Quality factor (Q): 10, 15, 20, 25, 30, 35, 40, 45, 50

These distortion levels were applied uniformly across all reference images. The distorted images were further augmented to improve the robustness of the dataset for deep learning model training. In total, the training dataset consists of 1,058 images.

A separate test dataset containing 125 images was also created by applying different distortion levels not used in the training set to prevent image redundancy and allow unbiased evaluation.
DOI: 10.17632/22pywjkx73
title: Sc-ShK1 paper

description: This file contains all the raw data for the manuscript of the Sc-Shk1 paper.
DOI: 10.17632/c7zkz8sbmz
title: FabLab Global Survey dataset

description: FabLabs are digital fabrication laboratories with a strong social and educational implication. They were created in the 2000s at MIT by Professor Neil Gershenfeld in his subject "How to make (almost) anything", where students acquire the skills to design and produce their models from the digital to the physical level. FabLabs have seen a spectacular growth from 45 labs in 2010 to more than 2000 by 2022.

The democratisation of digital fabrication technologies such as CNC machines, 3D printers and laser cutters has given rise to a resurgence of the maker spirit that takes advantage of the knowledge and characteristics of Open Software and Open Hardware to design and create new solutions.

Despite its growing interest in the scientific literature, little data is available on the diversity of spaces that make up the FabLab network. This publication shows the raw data obtained from the FabLab Global Survey questionnaire (2016). The questionnaire, constructed and validated using Delphi techniques, was distributed electronically in three languages: English, French and Spanish. It contains 41 questions of various types structured in three large differentiated blocks: 

Block I: Description of the FabLab
Block II: Description of the business model
Block III: Innovation model and documentation, SWOT

The list of FabLabs registered on FabLabs.io in December 2015, with a total of 516 registered laboratories, was used for distribution. Contact information was obtained from a total of 473 emails, to which 9 additional laboratories were added whose references were obtained from different social networks. Once the invalid references were discarded, the effective population was reduced to 445 Digital Fabrication Labs contacted from which 124 responses were obtained. For the study, under scientific quality criteria, those participations that reached more than 50% of effective responses in the questionnaire were considered valid, limiting the number of responses to 95, which establishes a response rate of 21.34% of the size of the population considered. With a universe defined as that of this study, a minimum sample size of 80 effective responses was determined based on a confidence interval of 95%, setting a margin of error of 10%, considering a conservative proportion equal to 50%.

In the publication of the information obtained through the questionnaire, following requests from several participants, the anonymity of the answers was guaranteed.

The information obtained from the implementation and application of this questionnaire has been fundamental for different publications mentioned in description.


Datafiles includes:

Raw data
Screenshots of the questionnaire
Description and coding of variables
DOI: 10.17632/vg3wkkb69t
title: Stress-Strain Data for Fire-Damaged Aluminum Alloy 6061 Subjected to Multiaxial Loading

description: Files in the data repository are organized in folders according to sample identifiers. Samples are named according to the following convention SP_00XX where “XX” are two numerals. Some sample identifiers additionally include a “b” at the end indicating a repeated test subsequent to a failed test.

Each folder contains Comma Separated Values (CSV) files from the MTS (DAQ_Running_Time_Timed.txt) and Vic3D systems (SP_00XX_data.txt), a MATLAB scripts for data interpolation (Analysis_script.m), and the CSV file that is generated from running the MATLAB script (SP_00XX_MTS_V3D.csv). For stress calculations it is necessary to input cross-section information for each sample. Sample dimensions (as well as machining direction, material condition, and mechanical test) are included in a descriptive excel file in the root folder named "samples.xlsx".

A set of folders (SP_0001b, SP_0003, SP_0005b, SP_0006b, SP_0007b, SP_0009, SP_0010, SP_0011, SP_0012) has one CSV file from MTS and one CSV file from Vic3D (the timing data from the Vic3D cameras was manually added to the strain data file). Folders associated with subsequent tests (SP_0070-SP0082) contain two CSV files from Vic3D (SP_00XX_data.txt, SP_00XX.txt): strain data and data acquisition timing. Regardless, MATLAB scripts in each folder correctly read and interpolate the data as needed. Folders SP_0068 and SP_0069 contain single files because interpolation of MTS and Vic3D data was done manually in Excel prior to development of analysis script.
DOI: 10.17632/46kw4dfzxt
title: Erato stability code

description: Title of program: ERATO Catalogue Id: ABVS_v1_0 Nature of problem This computer code treats the stability of a Tokamak-like plasma described by the ideal linearized magnetohydrodynamic (MHD) equations. The plasma is considered to be in an equilibrium state. After perturbation of such an equilibrium, the evolution of the normal modes can be calculated by linearizing the ideal MHD equations. Any mode (unstable or stable) of the spectrum can be examined. Versions of this program held in the CPC repository in Mendeley Data ABVS_v1_0; ERATO; 10.1016/0010-4655(81)90013-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/9bh36kxyww
title: Intermunicipal Bus System of Minas Gerais, Brazil

description: This spatial dataset shows the intermunicipal bus system of Minas Gerais state, Brazil, based on March 2022 itinerary data from the state transportation agency DER-MG and road network data from OpenStreetMap.  Routes were generated in QGIS using via the OpenRouteService plugin.  The dataset includes 1,145 bus lines.

Attribute name           Description
DIST_KM                    Length of route in kilometers
DURATION_H           Estimated duration of route in hours
COD_LINHA              DER-MG identifier code

Please note that bus lines may have been added, removed, or suspended by DER-MG since the production and publication of this spatial dataset.
DOI: 10.17632/fjsnkcjp2v
title: Stacked greyscale TIFF images for notched specimens

description: Stacked greyscale TIFF images for notched specimens presented in Fig. 6 and Fig. 7 of a research paper titled "Fatigue Criticality Assessment of Volumetric Defects in Notched Specimens: A Non-destructive Approach".
DOI: 10.17632/zhmzr4mt5z
title: Data for: ‘Left behind’ people, or places? The role of local economies in perceived community representation

description: Replication data from the paper: ‘Left behind’ people, or places? The role of local economies in perceived community representation. Adapted from Fieldhouse, E., J. Green., G. Evans., H. Schmitt, C. van der Eijk, J. Mellon and C. Prosser. (2016). British Election Study Internet Panel Waves 1-9. URL: www.britishelectionstudy.com. DOI: 10.15127/1.293723
DOI: 10.17632/697ht4f65b
title: Enriched Traffic Datasets for Madrid

description: DESCRIPTION OF THE RESEARCH AND DATA:
This work presents the Madrid Traffic Dataset (MTD), a comprehensive resource for the analysis and modeling of traffic patterns in Madrid. The dataset integrates data from traffic sensors, weather observations, calendar information, road infrastructure, and geolocation data to support advanced studies of urban mobility and predictive modeling.

In addition to the core data sources, the dataset includes temporal sequences and a traffic adjacency matrix, enabling the application of time-series analysis and graph-based modeling approaches.

-COMPLETE DATASET:
The complete version of the MTD includes data from 554 traffic sensors distributed across the Madrid region, covering a total of 30 months (from June 2022 to November 2024).

-SUBSET DATASET:
A more compact version derived from the complete dataset, focused on a subset of 300 traffic sensors with 17 months of data (from June 2022 to October 2023). This subset is designed for researchers requiring a lighter dataset.

DATA ORGANIZATION:
The dataset is organized in a main directory containing a subfolder identified by the configuration data hash. This subfolder includes all key components: datasets, temporal sequences, adjacency matrices, and configuration files. The structure ensures that all resources are clearly arranged to facilitate easy access and reproducibility for researchers.

For more details, see [Submitted to IEEE Internet of the Things Journal].
DOI: 10.6084/m9.figshare.12382667.v3
title: LUCAS 2018 Copernicus

description: LUCAS 2018 Copernicus data<br>The data published are distributed along with the paper entitled "<b>LUCAS Copernicus 2018: Earth Observation relevant in-situ data on land cover throughout the European Union</b>" by <i>Raphaël d’Andrimont, Astrid Verhegghen, Michele Meroni, Guido Lemoine, Peter Strobl, Beatrice Eiselt, Momchil Yordanov, Laura Martinez-Sanchez and Marijn van der Velde</i>.<br><br><br>The repository contains the following files:<br>- "<b>LUCAS_2018_Copernicus_polygons.shp</b>" : Shapefile of polygons with the "POINT_ID" attribute - "<b>LUCAS_2018_Copernicus_attributes.csv</b>" : CSV containing the 109 variables including the "POINT_ID" - "<b>CreateCopernicusPolygonsAll.R</b>" : R script used to generate the data- "<b>LUCAS_2018_Copernicus_ReadMe.txt</b>" : short description of the data repository<br>
DOI: 10.17632/fbhh8dmz7w
title: Dataset for the Feasibility of Patient-Centred Rehabilitation in Low-resource Settings

description: This data was obtained as part of a feasibility clinical trial using a trial within cohort design. The overarching aim of the clinical trial was twofold, being i) the study the feasibility of a minimalistic, community-based, pragmatic, 6-week patient-centred rehabilitation program for people with one of more non-communicable disease (i.e. cardiovascular disease, pulmonary disease, diabetes, or cancer), and ii) the study the feasibility of using a trial within cohort design as a viable experimental study design for the use in low-resource settings. Data was collected at baseline, 8 weeks and 16 weeks for the entire enrolled cohort. A randomly selected subsample of the cohort was offered the experimental intervention and could make an informed decision as to their intend to participate in this intervention. Subsequently, data is presented across three groups: (i) Those that were not offered the intervention (i.e. control group), those that declined to participate, and those that agreed to participate in the rehabilitation intervention. The data presented may be particularly useful for those seeking to study complex interventions in a heterogeneous sample of patients with non-communicable disease, or those within to study rehabilitation models within low-resource settings. Data is included for the patient demographics, medical demographics and outcomes, measures of functional exercise capacity, and patient-reported outcomes. A link to the published study protocol is included with this dataset-record.
DOI: 10.17632/mg2c99cmzf
title: Budget and DALY

description: Data for the title "Is state-wise healthcare budget allocation consistent with the disease burden in India? a quinquennial account (2015–2019)"
DOI: 10.6084/m9.figshare.27158412.v1
title: Data for understanding climate change and internal migration

description: This research is on understanding how migration is influenced by climate change, to understand this, a lot of proxy variables have been taken. The total out-migration from 1991-2021(projected values) have been taken for India. All the data are secondary and have been collected from various sources.
DOI: 10.17632/dfsp6f5448
title: The Correlates of Democratic Backslides

description: I merged 11 databases grouping them by country and year standardizing the country names using the “countrycode” package, and manually re-coding deviating country names. The two core datasets are produced by the Varieties of Democracy (V-Dem) project: the main V-Dem v14 dataset and the Episodes of Regime Transformation (ERT) dataset. Third, the data on inequality comes from the World Inequality Database (WID), and the data on unemployment comes from the International Labour Organization (ILO). Compared to the others, this indicator has the lowest percentage of missing values compared to other known data and has the data for the earliest years. Nevertheless, even in this case most of the data was only present from the year 1985, which forbade me to compare post-WWII and post-Cold-War cases of democratic backsliding. The 26 percent of missing observations were filled with values predicted via bootstrapping accounting for the cross-sectional nature of data using the “Amelia” package in R based on several dozens of other socioeconomic indicators from the V-Dem Background Factors block. Fourth, I added the ParlGov dataset that approximates the ideological polarization between political parties in elections on the right-left scale. In that case, the database is limited to the most developed stable democracies and only has data for the election years. At the same time, its only direct competitor, Manifesto, has even more missing data. To access the data on societal affective polarization I used the dataset initially developed by Reiljan and later updated by Orhan that aggregates the existing survey data. Due to its origins, it is limited to 159 observations, two to three per country, which is devastating for the multilevel models.
I combined the volatility indexes from five different regional datasets: one focused on the entire world with a particular focus on Latin America offered by Mainwaring and colleagues, Chiaramonte and Emanuele for Western Europe, Bertoa and Enyedi for geographic Europe, and Bogaards for Africa. In cases of overlaps between the datasets, the preference was given in the order they are mentioned. If the elections were regular, I carried volatility scores forward until the next elections. Table A3 on the data availability and the heatmap (Figure A1) are present in the online appendix. Even though the entrance of new parties into the playing field (known as extra-system volatility or type-B volatility) is theoretically more appealing than the overall volatility, these studies use different thresholds of what is considered to be the “system”. For instance, it varies from 2% for Mainwaring and Zoco and 1% for Chiaramonte and Emanuele.
DOI: 10.6084/m9.figshare.24152604.v1
title: <b>“</b><b>C:N:P stoichiometry of plants, soils and microorganisms</b><b>: response to altered precipitation</b>”, GCB-Appendix Dataset S1

description: The dataset of the papre "C:N:P stoichiometry of plants, soils and microorganisms: response to altered precipitation"
DOI: 10.6084/m9.figshare.6265604.v1
title: Patient26

description: Female Patient with 213 slice of pulmonary embolism CT-Angiography.
DOI: 10.17632/gs238vhsx4
title: Charge neutralization of the active site glutamates does not limit substrate binding and transport by EmrE

description: EmrE, a small multidrug resistance (SMR) transporter from E. coli, confers broad-spectrum resistance to polyaromatic cations and quaternary ammonium compounds. Previous transport assays demonstrate that EmrE transports a +1 and a +2 substrate with the same stoichiometry of 2 protons:1 cationic substrate. This suggests that EmrE substrate binding capacity is limited to neutralization of the two essential glutamates, E14A and E14B (one from each subunit in the antiparallel homodimer), in the primary binding site. Here we explicitly test this hypothesis, since EmrE has repeatedly broken expectations for membrane protein structure and transport mechanism. We previously showed that EmrE can bind a +1 cationic substrate and proton simultaneously, with cationic substrate strongly associated with one E14 residue while the other remains accessible to bind and transport a proton. Here we demonstrate that EmrE can bind a +2 cation substrate and a proton simultaneously using NMR pH titrations of EmrE saturated with divalent substrates, for a net +1 charge in the transport pore. Further, we find that EmrE can alternate access and transport a +2 substrate and proton at the same time. Together, these results lead us to conclude that E14 charge neutralization does not limit the binding and transport capacity of EmrE.
DOI: 10.17632/24795594tj
title: The Global Factor Structure of Exchange Rates Code & Data

description: Replication code and data for "Global Factor Structure of Exchange Rates"
DOI: 10.17632/8pvfs5wyzf
title: Bangladesh Agricultural Datasets

description: We have collected the crop transplanting time data, harvesting time data and temperature data based on crop transplanting data from the yearbook of Agriculture Statistics Bangladesh 2020 . After that we have collected crop season data based on crop transplantation time data from the Bangladesh Perspective Agricultural Crop Seasons Article. We then pre-process and aggregate all the data into a complete data set. This dataset contains information on 33 crops of Kharif 1 season, 22 crops of Rabi season and 48 crops of Kharif 2. In all, our dataset contains information on a total of 104 Bangladeshi crops. After that we analyzed our raw data through different types of algorithm.
DOI: 10.17632/cpyc8rxv4n
title: Microbiology

description: Prevalence of asymptomatic bacteruiria among
Pregnant women in Sudan, Khartoum State
DOI: 10.17632/jwnjdjfn58
title: renewable portfolio standard and renewable energy utilization

description: This dataset contains the data and code from a study evaluating the impact of China’s renewable portfolio standard on renewable energy utilization.
DOI: 10.17632/p7zf64v9dn
title: International Relations scholarship in and on Albania (1991-2022): the state of the discipline 30 years after the transition to democracy

description: International relations (IR) as a discipline has had a limited history in Albania. Indeed, the previous academic literature on the topic has highlighted how the limited research as a whole has negatively impacted on Albanian IR scholarship and has negatively impacted its visibility at the national and international level. The dataset aims to collect data on the state of International Relations (IR) in Albania and on Albania. Firstly, it shows IR’s history, institutional conditions, and its level of internationalisation in Albania. Secondly, it offers a systematic empirical analysis of articles/books published from 1991 to 2022 in international IR journals/publishing houses concerning the areas that Albanian IR scholars work in, the theories and methods they apply, and their geographical areas of interest. This part aims to make a broader assessment of Albanian scholars’ publications from 1990 to 2022 in international peer-reviewed journals as well as in publishing houses internationally. It aims to identify the Albanian publications in IR, gender of author, affiliation location of author, topics of publications, theoretical approach of each publication, so as to generate previously unexplored findings on the solidity and impact of Albanian IR research both in Albania and abroad. Thirdly, the dataset aims to offer systematic empirical analysis of articles/books published from 1991 to 2022 in international IR journals/publishing houses and that include Albania as a case study. This part aims to identify the areas that IR scholars (non-Albanian, foreign scholars) work in, the theories and methods they apply when researching on Albania. Based on the dataset, academic publications can be written. While the dataset does not provide an exhaustive list of all relevant publications written, effort has been made to include publications as much as possible. 
Note 1: meaning of Albanian IR scholar is Albanian working in Albania or abroad. 
Note 2: meaning of Foreign IR scholar is non-Albanian working in Albania or abroad. 

Keywords: Albania, International Relations, discipline, research.
DOI: 10.15468/dl.x32jyd
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Monoptilon bellidiforme Torr. & A.Gray ex A.Gray",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 77 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012880-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ddmhbb7xgr
title: Erbil Engineering Student Dropout

description: This dataset focuses on the dropout rates of freshmen students at the College of Engineering, Salahaddin University-Erbil. Salahaddin University, the largest and oldest public university in the Kurdistan Region of Iraq, is highly competitive due to its free education and occasional financial aid for students. Despite securing seats through a highly competitive process, many students leave during their first semester.

The dataset includes personal, social, and educational background information collected from application and registration dossiers, as well as reasons for dropout obtained through direct communication with the students. Between 2018 and 2020, approximately 150 out of 800 newly registered students left the College of Engineering.

The dataset comprises five features and a target variable. The features are:

1. Address: Specifies whether the student is from a city or village, and identifies the city within the Kurdistan region.
2. Family Income: Estimated based on the average job status of both parents.
3. English Language Skills: Level of proficiency in English.
4. Religion: Includes Muslim, Christian, and Yazidi.

The target variable is the reason for dropout, which includes:

1. Changing majors
2. Postponing studies to the next year while preserving the seat
3. Emigrating to another country
4. Transferring to a private university

The college registrar contributed as a domain expert in this study.