cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zkn8rs76hy.1
title: Bednikund Lake Dataset

description: The “Bednikund Lake Dataset” is multiproxy data (grain size, environmental magnetism, stable carbon isotope, total nitrogen, and total organic carbon) generated on a ~116 cm long trench from the high altitude alpine Badnikund lake in the Central Himalaya. This dataset also includes environmental magnetic and organic geochemistry data of 11 catchment soil samples of the Bednikund lake. The chronology of Bednikund lake trench (BBK) profile is well established with seven AMS 14C dates. The multiproxy data are provided in tabular format in an excel file along with modeled ages. The multiproxy data can be significantly utilized for regional correlation of Indian summer monsoon variability during the middle Holocene as well as for the correlation of global climatic events. The data can be also reused in paleoclimate modeling for precipitation change over the past ~6000 years. The data is related to the research article “Rawat, V., Rawat, S., Srivastava, P., Negi, P.S., Prakasam, M., Kotlia, B.S., 2021. Middle Holocene Indian summer monsoon variability and its impact on cultural changes in the Indian subcontinent. Quaternary Science Reviews.” A detailed description of dataset generation could be found in the “Data in Brief” article “Rawat, V., Rawat, S., Srivastava, P., Negi, P.S., Prakasam, M., Kotlia, B.S., 2021. Multiproxy paleoclimate dataset from the Bednikund alpine lake in the Central Himalaya. Data in Brief.
DOI: 10.17632/pmycgb2bt7.1
title: Dataset for Quantum Circuits Mapping

description: The proposed dataset helps to address the quantum circuit mapping problem as a classification task. Three csv files are provided, each one refers to a specific IBM quantum machine, namely  IBMQ Santiago, IBMQ Athens, and IBMQ 16 Melbourne. Each csv file is composed of random quantum circuits mapped onto the specific IBM quantum processor. In detail, each dataset instance contains some features related to the calibration data of the physical device and others related to the generated quantum circuit. Finally, the instance is labeled with a vector encoding the best mapping among those provided by deterministic mapping algorithms.
DOI: 10.17632/nbzpn4fkmc.1
title: Data for: The Reinvestment Risk Premium in the Valuation of British and Russian Government Coupon Bonds

description: Data and computation for the research
DOI: 10.17632/brfgw46wzb.1
title: CoLeaf DATASET

description: The dataset contains 1006 leaf images grouped according to their nutritional deficiencies (Boron, Iron, Potasium, Calcium, Magnesium, Manganese, Nitrogen and others). CoLeaf dataset contain images that facilitate training and validation during the utilization of deep learning algorithms for coffee plant leaf nutritional deficiencies recognition and classification.
DOI: 10.17632/cd5z895tr2.1
title: AOD 4: Dataset for Air Borne Object Detection

description: The detection of airborne objects has largely been unexplored or is only limited to drones. This dataset provides a huge set of airborne objects, comprising 22,516 images categorised into four classes namely; airplanes, helicopters, drones, and birds. The dataset is made so as to include complex backgrounds to showcase the varying environmental conditions present in the real world. AOD-4 dataset consists of images with sky, cloudy, terrestrial backgrounds, as well as nighttime, rainy, and snowy conditions. The dataset also includes instances where multiple objects are present in the frame aiming towards Multi-Object Detection capabilities. Researchers can leverage this dataset to develop and refine algorithms for airborne object detection and tracking, with potential applications spanning military surveillance, border security, and public safety.
DOI: 10.17632/j2bdgdr79y.1
title: Foreign Tourist Arrivals (FTA) and Foreign Exchange Earnings (FEEs) from Tourism for India 2001 to 2021. Ministry of Tourism, Government of India

description: This dataset is a compilation of foreign tourist arrivals (FTA) and foreign exchange earnings (FEEs) from tourism for each year between 2001 and 2021.

The primary source of data is 'India tourism statistics' annually published by the Market Research Division, Ministry of Tourism, Government of India, New Delhi. The data on FTA has been derived from Table 2.1.1 Inbound Tourism: Foreign Tourist Arrivals (FTAs), of each annual year. The data on FEE has been derived from Table 2.11. FEE from Tourism (US$ Billion) in India, of the respective annual report of the tourism ministry.

The data is available in the public domain on the website of the Ministry of Tourism, Government of India. And the tourism ministry is the owner of this data; therefore, it must be acknowledged whenever the data has been reproduced.

For the convenience of users, the Excel (.xlsx) and Stata (.dta) files have been uploaded. 

All these reports/tourism data statistics can be accessed at: https://tourism.gov.in/market-research-and-statistics
DOI: 10.17632/df52vdhft6.1
title: Problematic Internet use by peer review

description: The selection to the sample: The selection to the sample was of a random nature. Elementary school students, aged from 12 to 15, were selected from the list of middle-school schools with the help of the k = 2 draw operator. In the next step, classes were selected in the same way with the help of the k = 2 draw operator. The children's parents were asked to take part in the study. The respondents were first asked to provide a list of close friends and family members close to his/her age (excluding parents, grandparents, girlfriends, boyfriends and/or guardians as they are too close by emotional connection with the subjects for an unbiased assessment). Subjects were instructed to list everyone who they could evaluate (not just those who you may suspect of PIU). Friendship or any kind of professional (e.g., study) relationship was regarded as acceptable but more intimate relationships were not since it may impair the objectivity of assessment. In total, 267 participants (subjects) took part. These participants evaluated 1,513 of their peers/significant others. 185 of 267 subjects were elementary school students. They evaluated 1241 peers (745 boys and 498 girls). In addition to this, 82 parents evaluated 272 children, their own children or children they knew (137 girls and 140 boys). Evaluated friends and colleagues were between 10 and 22 years old. In the group of elementary school students, the respondents evaluated an average of 6 peers. The smallest number of peers that the respondent evaluated was one and the largest 24 peers. In the parents' group, the average is 3 (range 1 - 10) children evaluated. Questions: I know his/her gaming use (N/A?). He/she prefers gaming than socializing. His/her acquaintances and/or parents are concerned about his gaming. Gaming impair his/her health, hygiene and eating pattern. He/she avoids other activities? He/she tried to stop gaming but failed. Does gaming negatively affect his/her school performance? I rate his/her gaming as (0=never plays, 3=extremely harmful). My friend's sex is: F - female, M - male.
DOI: 10.17632/w33vbvjtdy.2
title: MTBF-33: A multi-temporal building footprint dataset for 33 U.S. counties at annual resolution (1900-2015)

description: We collected open and publicly available data resources from the web from administrative, county- or state-level institutions in the United States and integrated and harmonized cadastral parcel data, tax assessment data, and building footprint data for 33 counties, where building footprint data and building construction year information was available. The result of this effort is a unique dataset which we call the Multi-Temporal Building Footprint Dataset for 33 U.S. Counties (MTBF-33). MTBF-33 contains over 6.2 million building footprints including their construction year, and is available in ESRI Shapefile format, and in two spatial reference systems: (a) WGS84 (EPSG:4326), and (b) NAD1983 Albers Conic Equal Area Projection (EPSG:5070; aka ESRI:102039 or SR-ORG:7480), organized per county.
We compared the MTBF-33 dataset quantitatively to other building footprint data sources, achieving an overall F-1 score of 0.93. Moreover, we compared the MTBF-33 dataset qualitatively to urban extents from historical maps and find high levels of agreement.
The MTBF-33 dataset can be used to support historical building stock assessments, to derive retrospective depictions of built-up areas from 1900 to 2015, at fine spatial and temporal grain and can be used for data validation purposes, or to train statistical learning approaches aiming to extract historical information on human settlements from remote sensing data, historical maps, or similar data sources.

Data sources:
Boulder County (Colorado) Open Data Catalog / Florida Geographic Data Library / Hillsborough County, Florida / City of Tampa / Manatee County, Florida / Sarasota County, Florida / City of Evansville, Vanderburgh County, Indiana / Baltimore County Government, Maryland / Bureau of Geographic Information (MassGIS), Commonwealth of Massachusetts, Executive Office of Technology and Security Services / City of Boston / MetroGIS, Minnesota Geospatial Commons, Minnesota Geospatial Information Office, Anoka County, Carver County, Dakota County, Hennepin County, Ramsey County, and Washington County, Minnesota / Monmouth County, New Jersey / City of New York / Mecklenburg County, North Carolina. Data scraping was performed in 2016.
DOI: 10.17632/xcd89fx922.1
title: Community Sport Interviews

description: Interviews conducted with community sport clubs relating to policy implementation and advocacy for community sport
DOI: 10.17632/by9wy6fxsr.1
title: Imagery Dataset for Condition Monitoring of Synthetic Fibre Ropes

description: The dataset comprises images of synthetic fiber rope (SFR) intended for condition monitoring and predicting remaining useful life (RUL). These images were acquired using a Basler acA2000 camera equipped with a Basler C11-5020-12M-P Premium 12-megapixel lens.
We have created an extensive dataset containing a total of 3,853 raw images, representing both typical and defective synthetic fiber ropes (SFRs). The images in the dataset were recorded at a frame rate of 165 frames per second (FPS) and had a resolution of 2000 x 1080 pixels. This dataset encompasses a diverse range of potential defect scenarios that can occur during the SFRs' operational lifespan. These scenarios include, but are not limited to, plucking defects, cut strands, chafing, compressions, and core outs conditions.

The primary purpose of this dataset is to support computer vision applications, including object detection, classification, and segmentation. These applications aim to identify and analyze defects in SFRs effectively. The availability of this dataset will greatly facilitate the development and assessment of robust defect detection algorithms.
DOI: 10.17632/tj4syyj9mr.1
title: A large dataset of synthetic SEM images of powder materials and their ground truth 3D structures

description: This data article presents a data set comprised of 2048 synthetic scanning electron microscope (SEM) images of powder materials and descriptions of the corresponding 3D structures that they represent. These images were created using Blender, an open source computer graphics suite, and the generating scripts are included with the data set. Eight particle size distributions are represented with 256 independent images from each. The particle size distributions are relatively similar to each other, so that the dataset offers a useful benchmark to assess the fidelity of image analysis techniques.
DOI: 10.17632/txty23n3h7.1
title: Data for: Debt overhang in a business cycle model

description: Abstract of associated article: We study the macroeconomic implications of the debt overhang distortion on firms׳ investment and labor decisions. We show that the distortion arises when the levels of investment and labor are non-contractible and chosen after the signing of the debt contract. The financial friction manifests itself as investment and labor wedges that move counter-cyclically, increasing during recessions when the risk of default is high. Their dynamics amplify and propagate the effects of shocks to productivity, government spending, volatility, and funding costs. Both the size and the persistence of these effects are quantitatively important.
DOI: 10.17632/3bhwwjk4tv.1
title: ESG and Mergers

description: Data on ESGF and Mergers
DOI: 10.17632/wpj5pmcgym.1
title: Saprininae: phylogeny, biogeography and a new classification of the subfamily (Coleoptera: Histeridae)

description: input_files contains all of the input files used for the main analyses in the study, arranged by dataset, then by program used.

tree_files contains all of the phylogenetic trees generated by the main analyses in the study.
DOI: 10.15468/dl.x88m8t
title: Occurrence Download

description: A dataset containing 818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus mume (Siebold) Siebold & Zucc.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 818 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009328-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/39bp3vv62t.1
title: Helpdesk

description: This dataset contains events from a ticketing management process of the help desk of an Italian software company. The process consists of 9 activities, and all cases start with the insertion of a new ticket into the ticketing management system. Each case ends when the issue is resolved and the ticket is closed. This log contains 3804 process instances (a.k.a "cases") and 13710 events
DOI: 10.17632/tvzt6h5j2w.1
title: Experiencias en proyectos de extensión de energías renovables en Salta

description: En el Noroeste Argentino, la energía renovable con mayor potencialidad de uso es la solar. Se expone aquí la experiencia adquirida al haber realizado proyectos de extensión de equipos de energía renovable, de uso unifamiliar o comunitario. Parte de esta tecnología puede ya ser de aplicación masiva, como el calefón solar, especialmente a partir de la suba de precio del gas natural y de la energía eléctrica. El objetivo, que se ha cumplido en la gran mayoría de los casos, ha sido dar solución a alguna problemática real de las comunidades o usuarios finales de estas tecnologías, que se realizaron de manera que queden capacitados para realizar mantenimiento de los equipos en cada caso. La realización de estos trabajos en forma sistemática mediante convenios entre instituciones otorgará la posibilidad de masificar el uso de fuentes renovables.
DOI: 10.17632/s62ycm698z.2
title: Bali Hotel Reviews Dataset

description: The dataset comprises a curated collection of hotel reviews obtained from multiple hotels in Bali, Indonesia. These reviews have been systematically labeled based on six distinct aspects of the hotels, namely Value, Accessibility, Service, Room, Cleanliness, and Sleep Quality. The primary objective of this dataset is to facilitate the classification of consumer reviews, thereby enabling the development of a recommendation system based on natural language processing (NLP). The data was acquired through a web scraping process using the Google Chrome's Web Scraper Extension on the Tripadvisor platform.  Researchers can utilize this dataset for various NLP tasks, including hotel reviews classification and related analyzes.
DOI: 10.17632/bxtwctcxdf.1
title: Journal of Islam and Social Sciences; No. 19

description: The main objective of the Journal of Islam and Social Sciences is to provide an intellectual platform for national and international researchers to discuss their most recent findings related to the relationship of Islam and social sciences in Iran. By doing so, the journal hopes to improve the status of the field in Iran and in the world and to find solutions to theoretical and practical problems the profession is faced with. The wide range of issues related to the relationship between religion i.e. Islam and the social sciences requires that specialized scientific journals, and in the near future scientific researches, devote special attention to issues and problems raised in this regard. So the results of these researches will address the needs of the scientific community in the country. For this reason, the Department of Social Sciences of RIHU has been seeking publication of a journal titled "Islam and Social Sciences". Semi-annual journal of Islam and Social Sciences, in order to cooperate with other sections of Hawzah and University and to realize the above-mentioned goals and developing and deepening the literature in the field of relationships between Islam and social sciences and with the aim of providing scientific information, providing ground for dialogue and reflection of the opinions of scholars and creating a ground for the production of religious science and providing a suitable space for the further development and progress of the Islamic social sciences intends to examine the relations of religion, especially Islam and social sciences, in the form of publication of special issues. To serve this purpose, researchers are encouraged to submit their unpublished, original, full-length papers for potential publication in the journal.
DOI: 10.17632/gtcb8j5gcb.1
title: Dataset for surface defect detection and prediction in laser processed cutting tools using machine learning

description: This datasets relates to research for surface defect detection from laser processing in cutting tool materials.
This data contains an example image data set of 78 SEM microstructure images processed at various laser parameters. The MATLAB binary data compressed file (.mat) is the corresponding ground truth information, which categorizes the main types of defects.
Detection network  (.xlsx) - This data file details the AlexNet R-CNN network, training progress via transfer learning, and the detection result.
Predictive network (.xlsx) - This data file details the BPNN network, training data from R-CNN output, and the validation performance.
DOI: 10.17632/t9n68ykfk3.1
title: Multi-sensor dataset of human activities in a smart home environment

description: This dataset is about sensor recordings of activities performed by a single user in a smart home environment. The sensors used include, passive infrared, force sensing resistors, reed switches, mini photocell light sensors, temperature and humidity, and smart plugs. The data captured include, the user's interactions with the environment, such as indoor movements, pressure applied on the bed or couch, use of the stove, TV, and fridge, or the use of electrical appliances, such as, coffee maker, dishwasher, washing machine, sandwich maker, or microwave. The dataset can be useful in several areas, including, analysis of different methods, e.g., data-driven algorithms for activity recognition or habit recognition. The dataset contains three csv files, namely, sensor, sensor_sample_int, and sensor_sample_float. The sensor file contains information, such as, the type of sensor measurement or the sensor name. The sensor_sample_int file contains sensor measurements of integer datatype while sensor_sample_float file contains sensor measurements of datatype float.
DOI: 10.17632/bgmg4rd2nw.1
title: Whole-genome sequences shed light onto the demographic history and contemporaneous genetic erosion of free-ranging jaguar (Panthera onca) populations

description: Abstract: The vast amount of data contained in a single genome represents a detailed record of past events in that lineage and may forecast its evolutionary potential in the face of environmental changes. Here we employed whole-genome sequence (WGS) data to infer the demographic history and assess signals of recent inbreeding in an apex mammalian predator. We analyzed 13 jaguar ( Panthera onca ) whole genomes from individuals sampled in seven different biomes across the species’ range, including its northernmost extreme in the Mexico/USA border region. We used the pairwise sequentially Markovian coalescent (PSMC) method and screened the genomes for long runs of homozygosity (ROH) to characterize jaguar demographic history and detect signals of contemporary inbreeding. PSMC plots were consistent among individuals, suggesting that the jaguar lineage had an effective population size of up 100,000 individuals ca. 1 million years ago, then declined and rebounded during the Late Pleistocene, followed by a more recent decrease spanning the last 40,000 years. This recent decline was more pronounced in the North/Central American genomes, likely reflecting population bottlenecks during the south-north colonization towards the edge of the species’ current range. The ROH analysis revealed a relatively small burden for most jaguars, indicating a recent history of outbreeding and large-scale connectivity among regional populations. However, northern range-edge individuals and those from severely fragmented populations exhibited signals of inbreeding, and potentially recent bottlenecks, which indicates that this should be the focus of future in-depth research. Overall, our study illustrates the power of WGS data to survey and monitor genetic erosion in large carnivores triggered by anthropogenic habitat loss and fragmentation. Keywords: historical effective population size; runs of homozygosity; inbreeding; Felidae; carnivore conservation File 1: psmcfa file (bPon.jaguar_pantanal.noAmb.noX.zip) File 2: vcf file (jaguarGenomes.chrNum.bial.sorted.minQ20.noMiss.IDlabel.vcf.gz)
DOI: 10.17632/fhvzh7g72y.1
title: Upper torso mobility and shoulder pain changes following KT in US Masters National Championship Swimmers-An Exploratory Study

description: Excel spreadsheet of organized data and the graphs included in the study.