cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/x6ny7rzzgj
title: Data for: Energy efficient technology adoption in low-income households in the European Union - What is the evidence?

description: These files included the data set and the Stata program file to reproduce the findings reported in the manuscript
DOI: 10.6084/m9.figshare.28956287.v1
title: original data of attribution analysis

description: We use these data for intra-annual attribution analysis in runoff reduction in upper Han River Basin from 1961-2023. Budyko theory, ABCDmodel are used.
DOI: 10.17632/mz357z8pwx
title: Neural Sequences as an Optimal Dynamical Regime for the Readout of Time. Shanglin Zhou et al

description: We combined large-scale recordings and modeling to compare population dynamics between premotor cortex (M2) and striatum (dorsal lateral striatum) in mice performing a two-interval timing task. Conventional decoders revealed that the dynamics within each area encoded time equally well, however, the dynamics in striatum exhibited a higher degree of sequentiality. Analysis of premotor and striatal dynamics, together with a large set of simulated prototypical dynamic regimes, revealed that regimes with higher sequentiality allowed a biologically-constrained artificial downstream network to better read out time. These results suggest that although different strategies exist for encoding time in the brain, neural sequences represent an optimal and flexible dynamical regime for enabling downstream areas to read out this information. Here we provided the behavior and electrophsiological recording data of 8 mice used in the paper. We also provided matlab scripts to replicate Figure 2EFG, one of the main results in this paper as follows: --Start by running 'Fig2EFG.m' --Behavior and Ephys data of 8 mice used in the paper were stored in file 'twoIntervalData.mat', which was called by 'Fig2EFG.m'. --'SeqIndexDB': function used to compute the sequentiality index, temporal sparsity and peak entropy. --'CONV_RASTER': function used to estimate firing rate by convolving a spike train with a exponential filter.
DOI: 10.17632/ppr8rdw98w
title: Object Detection - Tennis Ball

description: Our data consists of 150 high-quality labeled images of tennis balls in different settings, that were manually taken from different cameras. The images vary in resolution, lighting conditions, distance from the ball, angles of the camera, the position of the ball with respect to the image, number of other objects present in the frame, etc. This makes the dataset robust for object detection needs.
DOI: 10.17632/bc2fwvts2s
title: Heinous Crime Psychological Behavior And Crime History Dataset

description: Criminals convicted of heinous or violent offences are especially susceptible to recidivism. To make decisions about parole, bail, punishment, etc., the judiciary often conducts routine screening of incarcerated people guilty of violent crimes. The dataset includes 156 offenders, with 154 participants whose data was used to create the desired dataset. The raw information was acquired using a questionnaire that included personality and familial traits, socio-demographic, psycho-social, HCR-20 and V-risk-10 risk assessment technique.
DOI: 10.17632/w5zt9n6vsc
title: Dataset of Computer Science Course Queries from Students: Categorized and Scored According to Bloom's Taxonomy

description: This dataset consists of 4 .csv files - 
1. Data_Structure.csv 
2. Introduction_to_Computers_and_Research.csv 
3. Irrelevant_Questions.csv.
4. Blooms_Taxonomy.csv

The first 3 files consists of questions asked by students of Independent University, Bangladesh on the Summer 2023 Semester in Computer Science Courses. The last file contains the Bloom's Taxonomy keywords that were used for the question evaluation.

This dataset was created to highlight the usage of AI in educational context. It particularly focuses on questions as our goal was to revive the innate curiosity of students to learn through querying. Computer science (CS) courses have been particularly focused as we found higher dropout rates in CS courses compared to others. 

The questions in this dataset have been manually pre-processed and categorized according to their course and topics. They have also been scored using Bloom's taxonomy's six levels of questions [remember (10 points), understand (20 points), apply (20points), analyze (25 points), evaluate (35 points), create (40 points)]. Any question above 100 points is considered a high level question and the maximum attainable score for a single question is 150 points.

File-1 consists of the scored and categorized questions from the "Data Structure" course.
File-2 consists of the scored and categorized questions from the "Introduction to Computers and Research" course.
File-3 consists of the irrelevant questions which do not belong to the courses above but were asked by the students from those courses.
File-4 consists of the keywords of Bloom's Taxonomy used to evaluate the questions in this dataset.
DOI: 10.17632/xwycx35grk
title: Predictive Maintenance of Power Substation Equipment by Infrared Thermography

description: Predictive Maintenance (PdM) is a proactive approach to equipment maintenance, which involves the use of data and technology to predict and prevent potential equipment failures before they occur. In the case of power substations, PdM is crucial for ensuring the reliability and efficiency of electrical power systems.

One of the most effective techniques used in PdM is Infrared Thermography (IRT). IRT is a non-contact technology that uses thermal imaging to detect and analyze temperature variations on the surface of equipment. By detecting temperature changes, IRT can identify potential equipment failures, such as overheating, corrosion, and insulation defects, before they cause serious damage or downtime.

In the context of power substations, IRT can be used to monitor critical equipment, such as transformers, circuit breakers, and switchgear. By conducting regular IRT inspections, technicians can identify and prioritize potential issues, and schedule maintenance activities accordingly. For example, if an IRT inspection reveals a hot spot on a transformer, maintenance can be scheduled to repair or replace the component before it fails.

IRT inspections can be conducted remotely, without the need for equipment shutdowns or physical contact. This minimizes downtime and reduces the risk of equipment damage or personal injury. The data obtained from IRT inspections can be analyzed and used to create predictive maintenance schedules, which optimize maintenance activities and minimize costs.

Overall, the use of Infrared Thermography in Predictive Maintenance of Power Substation Equipment is a reliable and cost-effective method for ensuring the reliability and safety of electrical power systems.
DOI: 10.17632/fdg787xd58
title: Web Based Movie Scene Learning Media

description: Raw data for SmartPLS 3 input and output from the analysis. Data were obtained from 396 respondents (students from Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta) that already passed the Learning Media Course. Data obtained using Google Forms Questionnaire.
DOI: 10.5061/dryad.4f7n5
title: Data from: Transcriptional regulation of fruit ripening by tomato FRUITFULL homologs and associated MADS-box proteins

description: The tomato (Solanum lycopersicum) MADS box FRUITFULL homologs FUL1 and FUL2 act as key ripening regulators and interact with the master regulator MADS box protein RIPENING INHIBITOR (RIN). Here, we report the large-scale identification of direct targets of FUL1 and FUL2 by transcriptome analysis of FUL1/FUL2 suppressed fruits and chromatin immunoprecipitation coupled with microarray analysis (ChIP-chip) targeting tomato gene promoters. The ChIP-chip and transcriptome analysis identified FUL1/FUL2 target genes that contain at least one genomic region bound by FUL1 or FUL2 (regions that occur mainly in their promoters) and exhibit FUL1/FUL2-dependent expression during ripening. These analyses identified 860 direct FUL1 targets and 878 direct FUL2 targets; this set of genes includes both direct targets of RIN and nontargets of RIN. Functional classification of the FUL1/FUL2 targets revealed that these FUL homologs function in many biological processes via the regulation of ripening-related gene expression, both in cooperation with and independent of RIN. Our in vitro assay showed that the FUL homologs, RIN, and tomato AGAMOUS-LIKE1 form DNA binding complexes, suggesting that tetramer complexes of these MADS box proteins are mainly responsible for the regulation of ripening.
description: tpc119453_Supplemental Data Set 1Supplemental Data Set 1. RNA-Seq analysis of FUL1/FUL2 suppressed and rin mutant tomato fruits.tpc119453_Supplemental Data Set 2Supplemental Data Set 2. A list of DEGs in (A) the FUL1/FUL2 suppressed fruits, (B) the wild type ripening fruits and (C) the rin mutant fruits with MIPS annotation.tpc119453_Supplemental Data Set 3Supplemental Data Set 3. MIPS categories significantly overrepresented in the sets of DEGs for FUL and rin.tpc119453_Supplemental Data Set 4Supplemental Data Set 4. Binding regions of (A) FUL1, (B) FUL2 and (C) RIN detected by ChIP-chip and CArG boxes in the regions in this study.tpc119453_Supplemental Data Set 5Supplemental Data Set 5. A list of direct target genes of (A) FUL1, (B) FUL2 and (C) RIN target genes identified in this study.tpc119453_Supplemental Data Set 6Supplemental Data Set 6. Functional annotation of direct target genes of (A) FUL1, (B) FUL2 and (C) RIN target genes.
DOI: 10.6084/m9.figshare.14322011.v1
title: Analysis of a steam generator using the FMEA and FTA techniques

description: ABSTRACT The structural health of a steam generator can be affected by several factors, such as the type of material of the structure, the quality of weld joints made, the boiler manufacturing parameters and the operating procedures performed. In this context, corrosion stands out as one of the major sources of degradation and can lead a surface under pressure to complete collapse. In this study, a failure analysis was made to investigate the process that lead to rupture and corrosion in a steam generator, using FMEA (Failure Mode and Effects Analysis) and FTA (Fault Tree Analysis) techniques. Metallographic tests of structure and a physicochemical study of the system feed water were also analysed. The metallographic tests showed small cracks in the base metal, in addition to lack of penetration in the welded joint and a misalignment of the joint. Water analysis showed a high concentration of chloride ions and a low pH of the feedwater, factors that cause the rupture of the passive layer and result in corrosion. The FMEA and FTA techniques allowed the understanding of the factors that act as stress concentrators, associated with lower quality of the steam generator feed water and errors during the welding process, which resulted in localized corrosion followed by rupture and leakage of liquid and steam water.
DOI: 10.6084/m9.figshare.3830388.v1
title: Nature Salary and Job satisfaction survey

description: Raw data for Nature's 2016 salary and job satisfaction survey
DOI: 10.17632/89yxn7hmpt
title: Online games marketplace Steam app data (with games genres) and player data for a community market potential analysis.

description: Data retrieved from the Steam API and Steam Storefront, modeled to be a graph between steam apps (games and dlcs) and steam players (steamids which have been anonymized).

There are four .json files in this dataset:

steam_reviews.json - contains the steam reviews of each steam app (the primary key of the json) with a 'total_reviews' and 'total_positive' fields, the total number of reviews and the total number of positive reviews, a 'recommendations' field with a nested object value which contains the reviews, with primary key the recommendation id (which is anonymized) , which has another nested object value that has the steamid of the reviewerr (anonymized), the total amount of minutes played by the reviewer, the unix timestamp date of creation of the review, the unix timestamp date of when the review was last updated, if it was a steam purchase and if it was and up vote.
The syntax of the json is as follows:

{
 "53535": {
 "total_reviews": 33,
 "total_positive": 31,
 "recommendations": {
 "15664": {
 "steamid": 5564,
 "playtime_forever": 210,
 "timestamp_created": 1724691423,
 "timestamp_updated": 1724691472,
 "received_for_free": false,
 "steam_purchase": true,
 "voted_up": true
 }
 }
 }
}
appdetails.json - Taken from the Steam API. Has the appid as the key to a nested object which contains the release_date, the type of the app (game or dlc), if it has a demo and if it's in Early Access.

{
 "2698870": {
 "release_date": "Q4 2024",
 "type": "game",
 "has_demo": false,
 "is_early_access": false
 }
}

app_tags.json - contains the webscraped data from a steam app page. The 'total_reviews' and 'total_positive' and 'release_date' fields were taken merely for comparison with the steam API. The webscraper checked if the game offered a demo and if the game was in Early Access and also webscraped the the app's community's most popular defined tags (here interpreted as the game's genre).

{
 "950271": {
 "total_reviews": null,
 "total_positive": null,
 "release_date": "3 Oct, 2018",
 "has_demo": null,
 "is_early_access": null,
 "popular_tags": [
 "Free to Play",
 "RPG",
 "Massively Multiplayer"
 ]
 }
}

player_details.json - For each steamid captured from player_details.json, has the steamid's 'friendlist' field with nested json value with keys 'friendid', also a steamid, and the Unix timestamp of the time when the relationship was created and a 'gamelist' another field with a nested json value with keys the appid and value the number of minutes played of that game.

{
 "2505980": {
 "friendlist": {
 "5441285": 1726758665,
 "5276078": 1714141644
 }
 "gamelist": {
 "4000": 982,
 "500": 318
 }
 }
}
DOI: 10.17632/ys2nfk7nrm
title: Supplementary Mendeley Data Figures

description: Supplementary Mendeley Data Figures for the manuscript by Ohkura N. et al. Journal: Immunity Title: Regulatory T cell-specific epigenomic region variants are a key determinant of susceptibility to common autoimmune diseases. Authors: Ohkura N, Yasumizu Y, Kitagawa Y, Tanaka A, Nakamura Y, Motooka D, Nakamura S, Okada Y and Sakaguchi S.
DOI: 10.17632/p2c2k9d4jf
title: Nursing Home Cares in Response to Different Diseases: Based on Data from Six Chinese Provinces and Cities

description: Correspondence should be addressed to Liyuan Jiao.
The data for this study was collected from 2012 to 2022 and comprised of the top ten disease-related deaths in three regions, including nine provinces and cities. The mortality rates of each disease and its percentage were obtained from the relevant websites of the provincial (city) statistical bureaus and health and care committees through statistical yearbooks, statistical bulletins on health and health development, and working statistics of health and care committees. In this study, Beijing was treated as the target case, and seven relevant literature pieces were selected through a search on Google Scholar. Through literature analysis, views were derived that related to different disease care approaches for the elderly in nursing homes.
DOI: 10.17632/pfhf4kt37s
title: Operational taxonomic units of cox1 amplified from bulk community DNA samples in Takamigawa River, Nara, Japan

description: A total of 888 operational taxonomic units (OTUs) are obtained from raw sequence reads of cytochrome c oxidase subunit 1 gene (cox1) from riverine metagenomes sampled in Takamigawa River in Japan. The OTU sequences in FASTA format and an R script used for clustering OTUs are attached.
Raw sequence reads and their associated data appear in DNA Databank of Japan (DDBJ) under the accession number PRJDB11912 (https://ddbj.nig.ac.jp/resource/bioproject/PRJDB11912).
DOI: 10.17632/vvwmvvxxs4
title: Human Salive - MG-RAST analyze

description: Spreadsheet with all metagenomes deposited in MG-RAST portal to Saliva Material. These data were used in manuscript submitted to BMC Oral & Health
DOI: 10.17632/xp92jxr8wn
title: Bangla News Dataset

description: A corpus on Bangla newspaper articles created using a custom web crawler containing 12 different topics. The total number of word tokens in this dataset is 28.5+ million. The number of unique words is around 3% of the entire vocabulary of the dataset. The Dataset is imbalanced. 20% of the dataset was separated as a held-out dataset.
DOI: 10.17632/5sw2c38f8w
title: BarkNet 1.0 (Part 4 of 4)

description: (Part 4 out of 4) 23,000 cropped images of tree bark, for 23 species of trees around Quebec City, Canada. The images were captured at a distance between 20-60 cm away from the trunk. Labels include: individual tree ID, its species, and its DBH (diameter at breast height). Pictures were taken with four different devices: Nexus 5, Samsung Galaxy S5, Samsung Galaxy S7, and a Panasonic Lumix DMC-TS5 camera. The dataset is sufficiently large to train a Deep network such as ResNet for species recognition.
DOI: 10.17632/6xbjzyz3th
title: Transport Cost to Ports through Brazilian Federal Roads Networks: Dataset for years 2000, 2005, 2010 and 2017

description: Transport costs can play a significant role in agricultural exports and businesses profitability. It can also influence farmers’ decisions regarding cropland expansion, intensification or land abandonment. Thus, transport is useful to take into account when modeling and evaluating land use and cover change related to agriculture production. The dataset described in this article represents the Infrastructure Capital in the work presented by Millington et al (2020), in which the CRAFTY-Brazil model is used to evaluate the impacts of changing global demand for agricultural products on land use and cover change. This modeling required a transport cost dataset that spanned the model calibration period, was consistent through time and covered the entire study area. The mos recent road network (for year 2017) obtained in vector format (shapefile) was joined to road section surface status tables for past years (2000, 2005 and 2010) in order to reconstruct the historic road network. Export ports hadling agricultural commodities, and their years of operation, were identified. Both datasets were used to derive the relative transport cost to the nearest port for Brazil, for years 2000, 2005, 2010 and 2017.
DOI: 10.17632/7tg4md9rv5
title: Data on Quantification of Bacillus cereus sensu lato biofilms by Microtiter Plate Biofilm Formation Assay

description: The microtiter plate (MTP) biofilm formation assay is a method for the study of early biofilm formation on abiotic surfaces. It is a colorimetric technique that uses crystal violet dye to stain attached biofilms and quantify by using an absorbance microtiter plate reader. In this data, we evaluated the ability of B. cereus sensu lato isolates from soil and milk powder samples for their production of biofilms after a total of 48 hr incubation period in the 96-well microtiter plate. The biofilm production was induced by initially exposing them in nutrient depleted medium at its first 24 hr and then replacing freshly prepared double strength broth for the next incubation period at 30°C. The optical densities of the bacterial growth in the wells were read at 630 nm while the stained biofilms that solubilized in absolute ethanol were read 570 nm. The biofilm measurements were calculated and the degree of biofilm production of each isolate was classified according to biofilm formation categories adapted from previous researchers. Therefore, the assay concluded the negative impact of B. cereus group by forming biofilms on abiotic surfaces, such as food contact surfaces in food production industries.
DOI: 10.17632/264nznwdm9
title: Dataset: Technologies Forensic Sciences - I&P

description: The swift progress of technology has transformed Forensic Sciences, providing specialists with cutting-edge tools and applications. This progress improves comprehension of crime scenes, streamlines data gathering, and accelerates processing for more dependable outcomes. An organized examination of scientific literature, utilizing the PRISMA® methodology, uncovers the significant impacts and hurdles faced by forensic professionals in integrating these technologies. Technologies such as extended reality allow for remote analysis of crime scenes, while biometric identification precision increases, supported by portable on-site analysis equipment and IoT devices employing artificial intelligence and machine learning. These advancements function as valuable supplements to forensic investigators, enriching their capabilities while upholding their essential role and responsibility in resolving cases.
DOI: 10.17632/jhr6xystvr
title: Grain size distributions and stress-strain curves of granite with different weathering degree

description: This dateset includes stress-strain curves of LdB granite (slightly weathered), SJK granite (moderately weathered), and MYB granite (highly weathered) as well as grain size distributions of three types of granite. It also contains polarized thin sections that present the euhedral, subhedral, and anhedral microstructures. Data on the LdB granite are available through Lan et al., [2010] while other data were obtained by authors in the laboratory. 
Reference:
Lan, H., Martin, C. D., & Hu, B. (2010). Effect of heterogeneity of brittle rock on micromechanical extensile behavior during compression loading. Journal of Geophysical Research, 115(B1).
DOI: 10.6084/m9.figshare.19093331.v4
title: Platycodon grandifloras genome annotation

description: Platycodon grandifloras genome annotationpasa2.longest.filter-update-v2.gff3 corresponds to the reference genome publicly available at https://ngdc.cncb.ac.cn/gwh (GWH: GWHARYT00000000.1).
DOI: 10.17632/nm9ffk6n9c
title: Data for: Nymphal Ixodes scapularis questing behavior explains geographic variation in Lyme borreliosis risk in the eastern United States

description: Raw data supporting the statistical findings of this tick questing behavior study.
DOI: 10.17632/nhj9tkvkv3
title: Application of Few-Shot Medical Image Segmentation with Multilevel Prototype Optimization in Lung Diseases

description: We reviewed the data of hospitalized patients with secondary pulmonary tuberculosis, pulmonary aspergillosis, and lung adenocarcinoma at Shandong Public Health Clinical Center from January 2020 to January 2024. A total of 100 cases of secondary pulmonary tuberculosis, 51 cases of pulmonary aspergillosis and 51 cases of pulmonary adenocarcinoma were selected.
DOI: 10.6084/m9.figshare.17869616.v1
title: Seurat object for the spatial transcriptomic data of sample HCM1406C

description: Seurat object for the spatial transcriptomic data of sample HCM1406C
DOI: 10.17632/6htjnfs78b
title: Sandwich Analytics: A Dataset Comprising One Year’s Weekly Sales Data Correlated with Crime, Demographics, and Weather

description: Data collected from a quick-serve sandwich chain over one year provide opportunity for market, sociographic, meteorologic, and other factors impacting sales. The weekly sales table contains over 140,000 rows which each represent summary statistics for the sales of an individual menu item in one store during one week of the year. The data were collected from the point-of-sale system of 19 stores. Secondary data regarding weather patterns, population, location, competition, and crime were gathered and integrated with the original data set. Version 2 includes three corrections. First, two stores had one week of data where the date did not correspond to the beginning of the week. Those dates have been corrected to be standard with the rest of the data set. Second, several entries in the weather data did not match. These have been dropped. Finally, the date formats were standardized between weather and sales data for easier connection.