cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nh8797sjr6.1
title: Spatial transcriptomics of human placentas reveal distinct RNA patterns associated with morphology and preeclampsia

description: The deposited data is presented in the manuscript by Bhalla N et al., with the title "Spatial transcriptomics of human placentas reveal distinct RNA patterns associated with morphology and preeclampsia".

This dataset contains the count files in TSV format (count file with raw counts (UMI filtered) for each gene and capture spot) for all the samples in the folder "ST_count_matrices". The spot detector output files (file with spatial pixel coordinate information produced using the Spot Detector webtool) can be found in the folder "Spot_detector_output". The high resolution H&E images of the sections can be found in "HE_images(High_res)" and the resized H&E images used in data analysis can be found in "HE_images (size30)_forST". 

Additionally, a STUtility object, created using the R package STUtility (a wrapper of Seurat), of all the samples with the abovementioned information is also loaded to the dataset.
DOI: 10.15468/dl.tz2wac
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((65.29542 -44.17518,165.70458 -44.17518,165.70458 26.17518,65.29542 26.17518,65.29542 -44.17518))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Neololeba Widjaja"
 ]
}

 The dataset includes 287 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009364-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4djw8z3jrb.2
title: Juneau Icefield 1770-2020

description: Data for: Accelerating glacier volume loss on Juneau Icefield driven by non-linear processes
DOI: 10.17632/yx82w7cbr7.2
title: A long-term fleet renewal problem under uncertainty: a simulation-based optimization approach with the case study on a naval fleet renewal

description: This file includes input and output data sets for the scenario discovery and sensitivity analysis.
DOI: 10.17632/2s59xcd9f2.1
title: Cross-regional mobility of R&D talents and high technology industry innovation: A perspective based on industrial aggregation and industrial structural change

description: eeeThis study examines a dataset encompassing 30 provinces in China, spanning from 2013 to 2022, based on the sufficiency and accessibility of the data. The sources of this data include the China Labour Statistics Yearbook, the China Population and Employment Statistics Yearbook, the Economic Census Yearbook, the China Science and Technology Statistics Yearbook, the China High Technology Industry Statistics Yearbook, the China Financial Statistics Yearbook, the China Regional Economy Statistics Yearbook, the China Statistical Yearbook, as well as various provincial statistical yearbooks. mp上、emsss\\\\irical datampirical datampirical dataempirical data
DOI: 10.17632/r83csstphc.2
title: Critically ill COVID-19 patients exhibit peripheral immune profiles predictive of mortality and reflective of SARS-COV-2 viral burden in the lung

description: Supplementary data in support of our analysis of peripheral blood and lower respiratory tract immune states in critically ill COVID-19 patients.
DOI: 10.17632/mcbdr53ppt.1
title: Genetically defined nucleus incertus neurons differ in connectivity and function--Spikol et al.--part 2

description: Please see accompanying paper, "Genetically defined nucleus incertus neurons differ in connectivity and function" for details.
DOI: 10.17632/d2g69jd2pb.1
title: Cognitive dynamics of intertemporal choice in gambling disorder

description: Gambling Disorder (GD) is a behavioral addiction characterized by the persistence of recurrent gambling behaviors despite serious adverse consequences. One of the key features of GD is a marked inability to delay gratification and an overall impairment of decision-making mechanisms. Indeed, in intertemporal choice (ITC) tasks, GDs usually display a marked tendency to prefer smaller-sooner over larger-later rewards (temporal discounting, TD). However, ITC represents a highly declarative measure, and as such might not be sensitive to implicit decision biases. Here we sought to uncover the implicit mechanisms underlying the ITC impairment in GDs by employing the process tracing method of mouse kinematics. To this aim, we collected and analyzed ITCs and kinematics measures from 24 PGs and 23 matched healthy control participants (HCs). In line with the relevant literature, the results showed that PGs discounted future rewards more steeply compared to HCs. Additionally, the results of kinematics analyses showed that PGs were characterized by a strong bias toward the immediate option, which was associated with straight-line trajectories. Conversely, the delayed option was selected with edge-curved trajectories, indicating a bias toward the immediate option which was revised in later stages of processing. Interestingly, kinematics indices were also found to be predictive of individual discounting preferences (i.e., discount rates) across the two groups. Taken together, these results suggest that kinematics indices, by revealing hidden and implicit patterns of attraction toward the unselected choice option, may represent reliable behavioral markers of TD in gambling disorder.
DOI: 10.17632/txn6vz28g9.1
title: Image Dataset of Indian Coins

description: The "Image Dataset of Indian Coins" is a meticulously curated and comprehensive collection comprising a total of 6,680 good-quality images, each offering a detailed visual representation of coins that are an integral part of India's currency system. The dataset has been thoughtfully organized into separate folders, dedicated to various coin denominations, including 25 paisa, 50 paisa, 1 rupee, 2 rupees, 5 rupees, 10 rupees, and 20 rupees. Within each denomination folder, a wealth of imagery captures the distinct characteristics of both the obverse (front) and reverse (back) sides of the coins. This dual-perspective approach offers a comprehensive view of the intricate designs, symbols, inscriptions, and historical elements present on each coin.
DOI: 10.17632/yttp49tm4z.1
title: Data for: Role of Gamers' Communicative Ecology on Game Community Involvement and Self-Identification of Gamer

description: data
DOI: 10.17632/d6tzhvp8pr.3
title: Energy Consumption Dataset

description: Global energy crisis and ozone layer depletion because of carbon emission has increased the encouragement and penetration renewable energy sources as source of electric power and hence the sizing of the renewable energy source. However, sizing of energy power system requires the information one is addressing as such demand of the load is very necessary.  The Load demand data of Nile University campus is obtained from its power station one for a period of eight month. The data was measured from the bus bar of the power station using smart meters on a weekly basis. The power station one of Nile University campus is characterized by three diesel generators, the public utility, and photo-voltaic solar systems. These power generating systems are synchronized at a common bus bar and used to power the university campus. The campus is composed of five blocks which is powered by the PS1.
DOI: 10.17632/rk4mm635rn.1
title: Mango Shelf-Life Dataset

description: This dataset contains images of Pakistani mango variety named White Chaunsa Late. An experiment was performed on the proposed dataset for automated classification for assessing the ripeness level of harvested mangoes. Deep Learning algorithms including Convolutional Neural Network and Artificial Neural Network were used to achieve high accuracy.
Researchers and students are encouraged to utilize this dataset for the development, testing, and evaluation of various computer vision algorithms aimed at enhancing the agricultural sector. The provided dataset can be consider as a benchmark for testing and comparing the performance of different state-of-the-arts. We have collected this dataset from local markets of Multan and captured images over different timespan.
DOI: 10.17632/bnphpr3bff.1
title: Code_and_Data_for_IDPM_JIE2022

description: This folder contains the programs and publicly available datasets that are needed to reproduce the results of “Invoicing and the Dynamics of Pricing-to-Market: Evidence from UK Export Prices around the Brexit Referendum,” by Giancarlo Corsetti, Meredith Crowley, and Lu Han, in the Journal of International Economics (2022).
DOI: 10.17632/bymgs9z2s2.1
title: Accused Is the Favorite Child Of Law; A Critical Analysis Of High Acquittal Rate In Pakistan

description: The focus of this study is Pakistan's criminal justice system's low conviction rate. The low conviction rate in Pakistan's broken criminal justice system is directly related to the incompetence of the investigating officers and the flawed, antiquated, and ineffective techniques used to investigate the case. It is also indirectly related to the lethargic prosecution and the high evidentiary standards of proof demanded by the law. As the cornerstone of the criminal justice system, the role of investigation is emphasised, as are the inconsistencies of the investigation and the prosecution department's lack of authority in criminal cases. In addition, the "proof beyond a reasonable doubt" principle and how even slight doubts lead to the acquittal of the accused are two other factors that favour the accused in his acquittal. In order to gain a more comprehensive understanding of the research, we have compared the distinct categories of criminal cases between Pakistan and India in this article. We will also discuss the shortcomings of the current system and offer some recommendations.
DOI: 10.17632/yhb26hfz8n.1
title: A dataset of chest X-ray reports annotated with Spatial Role Labeling annotations

description: This dataset consists of 2000 chest X-ray reports (available as part of the Open-i image search platform) annotated with spatial information. The annotation is based on Spatial Role Labeling. The information includes annotating a radiographic finding, its associated anatomical location, any potential diagnosis described in connection to the spatial relation (between finding and location), and any hedging phrase used to describe the certainty level of a finding/diagnosis. All these annotations are identified with reference to a spatial expression (Spatial Indicator) that triggers a spatial relation in a sentence. The spatial roles used to encode the spatial information are Trajector, Landmark, Diagnosis, and Hedge. In total, there are 1962 Spatial Indicators (mainly prepositions). There are 2293 Trajectors, 2167 Landmarks, 455 Diagnosis, and 388 Hedges in the dataset. This annotated dataset can be used for developing automatic approaches targeted toward spatial information extraction from radiology reports which then can be applied to numerous clinical applications.
DOI: 10.17632/76m7p7mvsg.1
title: Total factor productivity in the INTA Chinandega rice variety

description: The study focused on measuring the impact of the INTA-Chinandega rice variety on the rate of production increase in 40 farms in the North Pacific region of Nicaragua. Data from INTA Pacific North was used and covered the 7 production cycles. The DEA approach was used as a non-parametric programming method to calculate the Malmquist productivity indices. The results showed that the INTA Chinandega variety had a 1% impact on the average rate of change of TFP. The possible causes of this variability are due to the rate of change in technical efficiency rather than due to INTA Chinandega technology. In the municipality of El Viejo, TFP reached a maximum of 13% year-on-year.
DOI: 10.17632/86jvgh5ytw.3
title: Data for: Cleaving of Polymer Optical Fiber by 193nm Excimer Laser

description: Fig.1(a) shows the new liner cutting beam shaping system, Fig.1(b) shows the liner cutting beam works on the photographic paper and we can see the energy distribution of laser beam. A CCD camera from NAVITAR allows in situ monitoring of the whole process. Fig. 1(c) shows the CCD image of fiber with a very flat incision when it was cut off. Fig.2(a) shows the image that the fiber was cut off by a 180×40 um beam, Fig.2(b)(c) show the damage which were injured by laser. Fig.3 shows the time required for the pulse intensity when the fibers were full cleaved. Fig.4 show the microscope images of fibers’end-face by using 9 groups of pulse intensity. Fig. 5. show the microscope images of different repetition .
DOI: 10.17632/3pp9jkw9rk.1
title: ProMateAr: Ilex paraguariensis sequencing project. A summary

description: The yerba mate sequencing project was born in September 4, 2014 during a meeting organized by the Ministerio de Ciencia, Tecnología e Innovación Productiva de la Nación (Mincyt, Argentina) in Buenos Aires. During a second meeting organized by the Mincyt in Posadas, Misiones, in October 3, 2014 an integrated version of this project, hereafter called ProMateAr, was delineated. A first version of the yerba mate genome, sequenced by the Instituto de Agrobiotecnología Rosario (Indear, Argentina) thanks to a grant of the Secretaría de Políticas Universitarias, Ministerio de Educación de la Nación (SPU, ME, Argentina), which bioinformatic analysis was also granted by the Mincyt, became available to ProMateAr researchers in April 5, 2016 at the extinct web site www.promatear.com.ar. That version of the genome accounted 65 thousand assembled scaffolds and 1.44 Gb of size. A second version of the yerba mate genome was achieved by ProMateAr and then submitted to GenBank in 2021 (GCA_905181385.1; 32 thousand scaffolds, 1.42 Gb of size) and finally a third version was presented in 2024 (GCA_963454935.2; 10 thousand scaffolds, 1.06 Gb of size). The extinct web site www.promatear.biargentina.com.ar summarized the main goals and data of ProMateAr.
DOI: 10.17632/dv5z3v2xyd.1
title: SymbiPredict

description: The Symptom-Disease Prediction Dataset (SDPD) is a comprehensive collection of structured data linking symptoms to various diseases, meticulously curated to facilitate research and development in predictive healthcare analytics. Inspired by the methodology employed by renowned institutions such as the Centers for Disease Control and Prevention (CDC), this dataset aims to provide a reliable foundation for the development of symptom-based disease prediction models. The dataset encompasses a diverse range of symptoms sourced from reputable medical literature, clinical observations, and expert consensus.
DOI: 10.17632/m9y5w3shdx.1
title: Datasets and materials: Effects of charismatic leadership and rewards on individual performance

description: Datasets and materials for study: "Effects of charismatic leadership and rewards on individual performance". We replicate the effects found in Antonakis, d’Adda, Weber & Zehnder (2015), showing that charisma as well as of performance-based rewards have positive effects on individual performance. We find as well that the effect of charisma on individual performance is channelled through the vision dimension of leadership.
DOI: 10.17632/nvy9s767rx
title: Contrasting variations in solid acidity of smectite and kaolinite in acid-base environments and implications for carbron sequestration

description: The data for solid acidity of smectite and kaolinite subjected to acid-base environmental fluctuations. And the adsorption of lysine on the treated smectite and kaolinite.
DOI: 10.17632/jpdpvtv3nc.3
title: Materials for: Language shapes children’s attitudes: Consequences of internal, behavioral, and societal information in punitive and non-punitive contexts

description: Materials for: Explanations shape children’s attitudes: Consequences of internal, behavioral, and societal explanations in punitive and non-punitive contexts
DOI: 10.17632/4rpbg5jk89.1
title: Dataset for assessing the impact of knowledge management on firm performance: the moderating effect of company size

description: Sample is consisted of managers in large and medium sized industrial companies. - Company directors are considered to have a greater insight into providing information related to knowledge management and performance practices. - The moderating effect of company size in knowledge management and performance is not well explored in literature.
DOI: 10.17632/7g5dkwz9ys.1
title: Data for: young people’s intention towards COVID-19 booster vaccines in Malaysia

description: The data are related to the intention of young Malaysians towards booster vaccines for controlling coronavirus disease 2019 (COVID-19) virus transmission. This study was conducted through an online survey from 1 January 2022 to 31 January 2022 involving semester 1 (2021/2022) students pursuing Philosophy and Current Issues course in the National University of Malaysia.
DOI: 10.17632/7n8bfpkj8c.1
title: DistriBlock Transactions

description: This dataset includes three files, which are report.txt, blocks.csv and transactions.csv. The report.txt describes all of the information about the other two files that generated by DistriBlock generator -- DSBG. Source code of DSBG can be found at https://github.com/lyonwong1982/DataSharingBlockchainGenerator. This dataset is related with a Blockchain-based data sharing system named DistriBlock, and can be used in testings of Blockchain data model design. The total numbers of the attributes are 5 in transactions.csv and 3 in blocks.csv, and the amount of the items is 8733 both in transactions.csv and blocks.csv. The whole quantity of data assets is 641, which expresses a huge amount of data sharing businesses. By using this dataset, one can conduct some experiments for any novel data model in data sharing context, and also can checkout the Blockchain systems developed in a distributive type of transaction environment. Steps to reproduce this dataset are as follows: 1. Download the DSBG from Github (https://github.com/lyonwong1982/DataSharingBlockchainGenerator) 2. Launch the programs of DSBG to generate the transactions and blocks. 3. You will obtain the data of the same specification with this dataset (but would not get the same data).
DOI: 10.17632/m2y5nzmdbv.2
title: Data of jornal of sustainable forestry

description: The study hypothesized that, the conversion of natural forests to forest farm interface and farmlands affect the woody species diversity, biomass and soil organic carbon stocks.
DOI: 10.17632/969jt72d7z.1
title: Data for: Nationally Poor, Locally Rich: Income and Place in the 2016 Presidential Election

description: These data are used in the analyses in the paper "Locally Rich, Nationally Poor." The included replication do-file creates the paper's figures and tables in Stata. The datasets include processed data from the 2000 and 2004 National Annenberg Election Survey, the 2008, 2012, and 2016 Cooperative Congressional Elections Study, and the U.S. Census.
DOI: 10.17632/d7ffryvtjk.2
title: Hybrid Input-Output tables for India at year 2012

description: The IOT_IndiaVal file gives the input-output table in lakh rupees for 22 sectors The IOT_IndiaQtities gives the input-output table in quantities for 22 sectors. The energy sectors are in ktoe and the others in "pseudo-quantities". The IOT_IndiaPrices gives the unitary prices that are consistent with IOT in volume and value for intermediate consumption, final consumption, production and imports.
DOI: 10.17632/h8d7zgmchf.1
title: GRADE: A code to determine clathrate hydrate structures

description: GRADE is an open-source software package that identifies clathrate hydrate structures given the atomic coordinates of oxygen atoms of water. These structures are commonly found in natural gases and they are relevant to understand antifreezing proteins as well as the hydrophobic effect. In this manuscript, we describe basic algorithms used by GRADE to determine 5^12, 6^2 5^12 and 6^4 5^12 water cages. These algorithms are based on the connectivity of five and six-folded rings made of first-neighbor water molecules. Schemes to speed up the calculation of these cages are discussed and implemented in the code. GRADE also computes the four-body order parameter F_4 commonly used to identify different phases of water. An example of how GRADE can be used to compute the spontaneous nucleation of methane clathrates is also provided.
DOI: 10.17632/smfyg9255h.1
title: Physical Therapy Interventions for Knee Pain Secondary to Osteoarthritis

description: This report is based on research conducted by the Minnesota Evidence-based Practice Center (EPC) under contract to the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD (Contract No. 290-2007-10064-I). Suggested citation: Shamliyan TA, Wang S-Y, Olson-Kellogg B, Kane RL. Physical Therapy Interventions for Knee Pain Secondary to Osteoarthritis. Comparative Effectiveness Review No. 77. (Prepared by the Minnesota Evidence-based Practice Center under Contract No. 290-2007- 10064-I.) AHRQ Publication No. 12(13)-EHC115-EF. Rockville, MD: Agency for Healthcare Research and Quality; November 2012. www.effectivehealthcare.ahrq.gov/reports/final.cfm.
DOI: 10.17632/jfn8yhrphd.1
title: Machine learning for corrosion database

description: This database was firstly created for the scientific article entitled:
"Reviewing Machine Learning of corrosion prediction: a data-oriented perspective"

L.B. Coelho 1 , D. Zhang 2 , Y.V. Ingelgem 1 , D. Steckelmacher 3 , A. Nowé 3 , H.A. Terryn 1 

1 Department of Materials and Chemistry, Research Group Electrochemical and Surface Engineering, Vrije Universiteit Brussel, Brussels, Belgium
2 A Beijing Advanced Innovation Center for Materials Genome Engineering, National Materials Corrosion and Protection Data Center, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, China
3 VUB Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium

Different metrics are possible to evaluate the prediction accuracy of regression models. However, only papers providing relative metrics (MAPE, R²) were included in this database. We tried as much as possible to include descriptors of all major ML procedure steps, including data collection (“Data acquisition”), data cleaning feature engineering (“Feature reduction”), model validation (“Train-Test split”*), etc. 

*the total dataset is typically split into training sets and testing (unknown data) sets for performance evaluation of the model. Nonetheless, sometimes only the training or the testing performances were reported (“?” marks were added in the respective evaluation metric field(s)). The “Average R²” was sometimes considered for studies employing “CV” (cross-validation) on the dataset. For a detailed description of the ML basic procedures, the reader could refer to the References topic in the Review article.
DOI: 10.17632/zm4pkcgbz8.1
title: Data for "Influence of Mental Health Curriculum Form on College Students’ Academic Adaptation: Chain Mediating Effect of Social Adaptation and Self-efficacy "

description: This is the dataset of the study "Influence of Mental Health Curriculum Form on College Students’ Academic Adaptation: Chain Mediating Effect of Social Adaptation and Self-efficacy", which includes the raw and analyzed data. Detailed information is available from the author (liujy2020@mail.tsinghua.edu.cn) on reasonable request.
DOI: 10.17632/vcfxdvhfw3.4
title: SUPPLEMENTARY MATERIALS: Deucravacitinib versus placebo and apremilast in moderate to severe plaque psoriasis: efficacy and safety results from the 52-week, double-blinded, randomized, phase 3 POETYK PSO-2 trial

description: Supplementary materials for the publication of Strober B. Deucravacitinib versus placebo and apremilast in moderate to severe plaque psoriasis: efficacy and safety results from the 52-week, double-blinded, randomized, phase 3 POETYK PSO-2 trial. J Am Acad Dermatol 2022.