cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dv497s8d6k.1
title: WDI extracted Energy-Welfare Nexus Dataset

description: Using World Development Indicators (WDI) database, this dataset provides the most comprehensive panel dataset over the 1960-2014 period for revisiting two seminal articles on the energy-welfare nexus, namely Kraft and Kraft (1978) and Ferguson et al. (2000), touching on the notions of causation and correlation, respectively. The nature of the raw data of this dataset, alongside STATA codes and related excel files, are presented in two co-published articles in Data in Brief and Energy Strategy Reviews. It helps interested scholars who wish to replicate this research or even re-produce an updated dataset for testing emerging economic theories on the energy-welfare nexus.  

We have used this dataset and STATA codes to conduct a comprehensive note on the causation and correlation between energy use (as measured by Primary Energy Use (E), Electricity (e) and the ratio e/E) and affluence (A).  Our analysis suggests that causation and correlation indicators are time-dependent, country-specific, and may vary circularly. Thus, it is not unusual that the directions of the Granger causalities in the energy-welfare nexus vary, depending on each country's technological, institutional, or cultural advancement (i.e., development stages).
DOI: 10.17632/4gkcyxjyss.1
title: SorghumWeedDataset_Classification

description: Purpose of dataset creation: ‘SorghumWeedDataset_Classification’ is created to address real-time weed challenges and encourage weed research using computer vision applications. About the dataset: ‘SorghumWeedDataset_Classification’ is a crop-weed research dataset with 4312 data samples, which can be used for image classification. Sorghum samplings (Class 0), Grasses (Class 1), and Broad-leaf weeds (Class 2) are the three research objects focused during this data acquisition process. This dataset contains 1404 samples of sorghum samplings, 1467 samples of grasses, and 1441 samples of broadleaved weeds. The TVT (Train: Validate: Test) ratio is set as 7:2:1 to split the data samples into training, validation, and testing. Data samples with class labels are provided herewith. Equipment used for data acquisition: To record a rich set of information on the research objects, a state-of-the-art instrument - Canon EOS 80D – a Digital Single Lens Reflex (DSLR) camera with a sensor type of 22.3mm x 14.9 mm CMOS is used. Data type, format, and size: Each data sample is an RGB image represented in JPEG format with 6000 × 4000 pixels making an average size of 13MB each. All data samples are re-sized to 224 × 224 pixels without information loss to reduce the computation complexity. Data acquisition: This dataset emphasizes the early stages of crop growth to meet the challenges faced during the ‘Critical period of weed competition’. Data samples are captured from agriculture fields that follow both uniform crop spacing and random crop spacing. Temporal coverage: Data is acquired during April and May 2023. To generalize the dataset, acquisition is done in various light and weather conditions with varying distances. Geographical coverage: Data is acquired from Sri Ramaswamy Memorial (SRM) Care Farm, Chengalpattu district, Tamil Nadu, India. To the best of our knowledge, ‘SorghumWeedDataset_Classification’ is the first open-access crop-weed research dataset from Indian fields for classification that deals with weed issues in uniform and random crop-spacing fields. Expected outcome: The expected outcome of this dataset will be an Artificial Intelligence (AI) model that predicts the correct class of a particular data sample. Detailed description: A detailed description of the dataset and data acquisition process is given in the data article entitled “ ‘SorghumWeedDataset_Classification’ And ‘SorghumWeedDataset_Segmentation’ Datasets For Classification, Detection, and Segmentation In Deep Learning “. (Submitted in the journal ‘Data in Brief’ on 25/09/2023 and awaiting publication) Citation: If you find this dataset helpful and use it in your work, kindly cite this dataset using “Michael, Justina; M, Thenmozhi (2023), “SorghumWeedDataset_Classification”, Mendeley Data, V1, doi: 10.17632/4gkcyxjyss.1” Further queries: If any queries/suggestions concerning this dataset, please e-mail us at thenmozm@srmist.edu.in [corresponding author]
DOI: 10.17632/jy8jyv44r7.1
title: Data for: Optimal measuring timing of cystatin C for early detection of contrast-induced acute kidney injury: A systematic review and meta-analysis

description: The optimal measuring timing of Cystatin C (CysC) for early detection of contrast-induced acute kidney injury (CIAKI) remains un-studied. We conducted this systematic review and meta-analysis study to elucidate further on this issue. We searched PubMed, MEDLINE, and Embase from inception until March 2018 for studies evaluating the diagnostic accuracy of CysC for predicting CIAKI in patients exposed to contrast agents during diagnostic examinations or cardiac/peripheral catheterizations. A total of 10 relevant studies, comprising 2554 patients, were included. The included studies were divided into two groups: &lt;24-hour and 24-hour groups, based on CysC measuring timing (i.e., hours after contrast agent exposure). Compared with creatinine, the pooled diagnostic odds ratio of CysC for detecting CIAKI of the &lt;24-hour and 24-hour groups was 7.59 and 53.81, respectively. The pooled sensitivity of the &lt;24-hour and 24-hour groups was 0.81 and 0.88, respectively. The pooled specificity of the &lt;24-hour and 24-hour groups was 0.64 and 0.88, respectively. The area under the hierarchical summary receiver operating characteristic curve of the &lt;24-hour and 24-hour groups was 0.75 and 0.93, respectively. Collectively, these data indicate that 24 hours after contrast agent exposure is the optimal measuring timing of CysC for early detection of CIAKI.
DOI: 10.17632/mcv87wgmj9.1
title: Heterogeneity Effect of Positive and Negative Jumps on the Realized Volatility：Evidence from China

description: The folder "code" contains the code for data processing and empirical results.
It includes two folders, data is used to store data, and model is used to store running python code.
DOI: 10.17632/r3y43cdd3x.2
title: Marine Debris Dataset in Coastal Areas in Indonesia

description: The dataset contains information about macro litter (>2.5 cm) in 13 locations with a total of 121 points sampling collected from 2013 to 2018 —includingTourism activities characterize the beach sites, coastal ecosystem, remote beaches included the small island, fisheries activities, and Marine Protected Area (MPA). 

The site stations are located in Seribu Islands (30 sites), Banten (17), South Java (22), Biawak Islands (9), West Papua (12) and East Nusa (29) .
DOI: 10.17632/5st6t22ytb.1
title: E GOVERNMENT SURVEY

description: The survey was conducted online using Google Forms, and in person to present the survey questionnaires and record the responses. Survey instruments like Likert Scale (from strongly agree to strongly disagree) were used along with Bipolar semantically anchored items. Some questions were closed ended leading questions to force users to select a specific answer among the given many whereas some of them were multiple choice for users to pick as many as they resonate with. We conducted our study in 18 schools, and the sample size was approximately 5400 pupils from outlying areas. The majority of the data came from isolated schools in Nepal's Mustang and Sindhupalchok districts, which are struggling mightily to adopt and implement digital education.
DOI: 10.17632/cxmcyvdjy9.1
title: Determinants of Global Neutral Interest Rates

description: Codes and data reproduce the results from the paper "Determinants of Global Neutral Interest Rates" from the Journal of International Economics.
DOI: 10.17632/jb2d33bmwx.1
title: Global Trends in Melanoma Burden

description: Supplemental tables and figures for "Global Trends in Melanoma Burden: A Comprehensive Analysis from the Global Burden of Disease Study, 1990-2021"
DOI: 10.17632/ts4wgg3zbb.1
title: Data for Digital Transformation and Corporate Financialization

description: This study examines how digital transformation affects corporate financialization
DOI: 10.17632/4sff2xhzmh.1
title: Database for: Evidence based land-sea conservation in Chilean Patagonia

description: Appendix A. Supplementary Information for "Evidence based land-sea conservation in Chilean Patagonia". This document includes the supplementary text with the methodological approach of the compilation, analysis and synthesis of the evidence about the conservation of Chilean Patagonia applying a systematic mapping approach (including the five stages to reproduce the synthesis). Appendix B. Complete database of the 986 studies reviewed in this synthesis coded by: AU Authors TI Title SO Publication name DT Document Type (article, review, editorial, book chapter, letter, meeting abstract, technical report) PY Publication Year DE Authors’ Keywords ID Keywords associated by ISI database AB Abstract TC Times cited System Freshwater, terrestrial, marine, social and other Driver climate change, habitat change, pollution, overexploitation, invasive species (one per column) SC Subject category (See Fig. 2. Example: ecology, environmental sciences, plant studies, archaeology, anthropology among others) Conservation or Management Does the study try to solve conservation and/or management questions? Q1 Does the paper cover the Patagonia region o any area in the Chile’s Patagonia region? Q2 Does the paper consider research in any of the systems of Patagonia (freshwater, marine, terrestrial, and social)? Q3 (a) Does the paper consider drivers affecting ecosystems or conservation and management issues in Patagonia region? Q3 (b) Does the paper consider human-nature relationships, identity issues (indigenous) or human occupation patterns in Patagonia? Extra information Extra notes
DOI: 10.17632/n332mrvk7y.1
title: Data for: United States Plastics: Large Flows, Short Lifetimes, and Negligible Recycling

description: This data covers the material flows of 7 types of plastics from cradle to grave throughout the U.S. economy in 2015. The covered plastics are: low-density polyethylene (LDPE) / linear low-density polyethylene (LLDPE), high-density polyethylene (HDPE), polyethylene terephthalate (PET), polypropylene (PP), polystyrene (PS), polyvinyl chloride(PVC), and other plastics.
DOI: 10.17632/xdhm3tb9y8.1
title: Sustainable Development Goals in ASEAN Research Dataset

description: The Sustainable Development Goals (SDGs) in ASEAN research & publication in Indonesia dataset, which was indexed by Scopus from 2015 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/ydygmhcw4y.1
title: Data for: What makes climate change adaptation effective? A systematic literature review of success

description: This data set includes my inclusion and exclusion criteria for my systematic literature review. I provide a list of included and excluded articles, and reasons for article exclusion. I provide a codebook and a list of the adaptation activities used in my analysis.
DOI: 10.17632/487x8frj4w.1
title: W4-11-GEOM database

description: Contents: The W4-11-GEOM database contains CCSD(T)/jul-cc-pV(6+d)Z reference geometries for all the molecules apart from the following larger 14 larger organic molecules, for which the reference geometries are obtained at the CCSD(T)/jul-cc-pV(5+d)Z level of theory: acetaldehyde.xyz, acetic.xyz, c2h3f.xyz, c2h5f.xyz, ch2ch.xyz, ch2nh2.xyz, ch3nh.xyz, ch3nh2.xyz, ethanol.xyz, formic.xyz, methanol.xyz, propane.xyz, propene.xyz, and propyne.xyz. Description: The W4-11-GEOM database includes 122 species, which cover a broad spectrum of bonding situations with a range of single and multiple bonds that involve varying degrees of covalent and ionic characters. The reference geometries have been optimized on the electronic potential energy surface (PES) at the CCSD(T)/jul-cc-pV(6+d)Z level of theory, except for a small subset of larger molecules with low spatial symmetries for which the reference geometries were optimized at the CCSD(T)/jul-cc-pV(5+d)Z level of theory. The W4-11-GEOM dataset includes 85 closed shell, 21 radical, 9 singlet carbene, and 7 triplet species. In terms of elemental composition, the dataset includes 88 first-row species (containing H and B–F), 17 second-row species (containing H and Al–Cl), and 17 mixed first- and second-row species (containing H, B–F, and Al–Cl atoms). Overall, the database includes 246 symmetry-unique bonds and 133 key bond angles: 96 X-Y-H, 22 X-Y-Z, and 15 H-X-H angles. In terms of bond distances, it includes 117 single bonds involving hydrogen (H–X), 65 single bonds between non-hydrogen atoms (X–Y), 49 double bonds (X=Y), and 15 triple bonds (X≡Y), where X and Y are non-hydrogen atoms from the first and second rows of the Periodic Table. For further details see: P. R. Spackman, D. Jayatilaka, A. Karton, J. Chem. Phys. 145, 104101 (2016). http://dx.doi.org/10.1063/1.4962168
DOI: 10.17632/hszypd37nw.1
title: Indicators of organic matter sources of Mollisols in northeast China

description: Many methods can indicate the plant source of organic matter, such as n-alkanes, pollen, charcoal, etc
DOI: 10.17632/zjk69g27v5.1
title: Epistemic Beliefs in Conflict Resolution Studies

description: Epistemic Beliefs in Conflict Resolution Studies
DOI: 10.17632/p68wx7ty3z.2
title: Multiple long-term conditions in patients with psoriasis: a latent class and bidirectional Mendelian randomisation analysis

description: ICD-9, ICD-10, Read v2, Read v3 codes that used to define th elong-term conditions.
DOI: 10.17632/sn9yxn5zsz.1
title: ISI Atomic Pair Actions Dataset

description: Understanding pair-wise activities is an essential step towards studying complex group and crowd behaviors in video. However, such research is often hampered by a lack of datasets that concentrate specifically on Atomic Pair Actions. In this paper, we introduce the ISI Atomic Pair Actions dataset, a set of 90 videos that concentrate on the Atomic Pair Actions of objects in video, namely converging, diverging, and moving in parallel. In addition, we make the full dataset (the videos, along with their associated tracks and ground truth) publicly available to the research community for free use and extension at .
DOI: 10.17632/8h3s6jkyff.1
title: TomatoPlantfactoryDataset

description: The dataset entitled Tomato Plantfactory Dataset, which comprises 520 images of the Micro tomato variety, captured at two different resolutions (6000x4000 and 4032x3024) and at two stages of fruit growth. The images were acquired in a complex lighting environment of an artificial light plant factory, presenting various complexities, including variations in perspectives, lighting quality, distance, and occlusions and blurs of the fruits. The dataset provides a valuable resource for researchers interested in developing new techniques for tomato fruit detection, classification, localization, and visualization. All tomato fruits have been manually annotated, resulting in a total of 9112 instances, including 5996 green fruits and 3116 red fruits. The annotation files are available in both PascalVOC and YOLO formats, facilitating the integration of the dataset into existing computer vision pipelines. Finally, the dataset can be conveniently partitioned for rapid model training purposes.
DOI: 10.17632/jj3tw8kj6h.2
title: Driving Behavior Dataset

description: Dataset for modeling risky driver behaviors based on accelerometer (X,Y,Z axis in meters per second squared (m/s2)) and gyroscope (X,Y, Z axis in degrees per second (°/s) ) data. Sampling Rate: Average 2 samples (rows) per second Cars: Ford Fiesta 1.4, Ford Fiesta 1.25, Hyundai i20 Drivers: 3 different drivers with the ages of 27, 28 and 37 Driver Behaviors: Sudden Acceleration (Class Label: 1), Sudden Right Turn (Class Label: 2), Sudden Left Turn (Class Label: 3), Sudden Break (Class Label: 4) Best Window Size: 14 seconds Sensor: MPU6050 Device: Raspberry Pi 3 Model B Please See Summary Table for summary of the collected data.
DOI: 10.17632/wd3tt3bb4v.1
title: tensile test

description: The sample points of tensile test
DOI: 10.15468/dl.2vmd9f
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus roxburghii Sarg.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 111 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009240-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cwzybbh852.1
title: Historical regional data on literacy rates in 1911 Italy, by gender (by Brian A'Hearn and Carlo Ciccarelli)

description: Italy, June 1911, Population Census Data. Population and literacy rates by gender at various level of geographical disaggregation corresponding to various territorial administrative units (16 Regions, 69 Provinces, 276 Disctricts) . The data allow to illustrate geographic patterns in literacy by gender and sex ratios. Summary statistics, maps and preliminary findings are reported in A'Hearn, B. and Ciccarelli, C. (2021), "Literacy in the Italian census of 1911: disaggregating the data" , Rivista di Storia Economica, forthcoming. Brian A’Hearn – Pembroke College, University of Oxford; Carlo Ciccarelli – Department of Economics and Finance, University of Rome, Tor Vergata . If you find the data useful, please let us know at brian.ahearn@pmb.ox.ac.uk and carlo.ciccarelli@uniroma2.it If you use the data in an article, please quote our article in Rivista di Storia Economica.
DOI: 10.17632/ryg899jv6k.1
title: Supplemental Figure for "Development of the Generalized Pustular Psoriasis Clinical Assessment Tool (GPP-CAT)"

description: Supplemental Figure for "Development of the Generalized Pustular Psoriasis Clinical Assessment Tool (GPP-CAT)". 

Authors: Amit Garg, MD, Megan H. Noe, MD, MPH, MSCE, Milan J. Anadkat, MD, April Armstrong, MD, MPH, Tina Bhutani, MD, MAS, Aaron Farberg, MD, George Han, MD, PhD, Jason E. Hawkes, MD, MS, Mark Lebwohl, MD, Sergey Rekhtman, MD, Pharm D, MPH, Eingun James Song, MD, Andrew Strunk, MA, Kristina Callis Duffin, MD
DOI: 10.17632/btnmms6cj3.1
title: Formation of Supergene Copper Deposits: The Investigation of Kinetics and Mechanism in Replacement of Chalcopyrite by Covellite under Hydrothermal Conditions

description: This is the data set for publication of "He, Zhen; Harmer, Sarah L.; Pring, Allan; Qian, Gujie (2023), Formation of Supergene Copper Deposits: The Investigation of Kinetics and Mechanism in Replacement of Chalcopyrite by Covellite under Hydrothermal Conditions”.
DOI: 10.17632/nf6xgfv5t8.1
title: Association between periungual changes and myositis-specific autoantibodies in patients with idiopathic inflammatory myopathies: A retrospective cohort study

description: Supplementary Fig 1. Clinical images of periungual changes in patients with IIM. (A) erythema of the proximal nailfold, (B) erythema of the lateral nailfold, (C) hemorrhagic crust or crust of the proximal nailfold, (D) hemorrhagic crust or crust of the lateral nailfold, (E) roughening and cracking of the proximal nailfold, (F) roughening and cracking of the lateral nailfold, (G) punctate hemorrhage of the cuticle, (H) capillary loops in the proximal nailfold, and (I) skin atrophy of the proximal or lateral nailfold.

Supplementary Fig 1. Clinical images of periungual changes in patients with IIM. (A) erythema of the proximal nailfold, (B) erythema of the lateral nailfold, (C) hemorrhagic crust or crust of the proximal nailfold, (D) hemorrhagic crust or crust of the lateral nailfold, (E) roughening and cracking of the proximal nailfold, (F) roughening and cracking of the lateral nailfold, (G) punctate hemorrhage of the cuticle, (H) capillary loops in the proximal nailfold, and (I) skin atrophy of the proximal or lateral nailfold.

Supplementary Table 1. Clinical characteristics of the study population
DOI: 10.17632/njdkntcpc9.1
title: Data for: A machine learning approach for forecasting hierarchical time series

description: The dataset consists of 118 daily time series, representing the demand of pasta from 01/01/2014 to 31/12/2018. Besides univariate time series data, the quantity sold is integrated by information on the presence or the absence of a promotion.
DOI: 10.17632/vbf3224p23.1
title: Data for: A New Biologically Inspired Global Optimization Algorithm Based on Firebug Reproductive Swarming Behaviour

description: MATLAB Source code of Firebug Swarming Optimization Algorithm.
DOI: 10.17632/f6swprrhzy.2
title: CAPITAL STRUCTURE IN LATIN AMERICA: INSTITUTIONAL AND MACROECONOMIC EFFECTS

description: The database corresponds to the period 2008-2018. Includes financial data of the industrial companies listed in Latin America: Argentina, Brazil, Chile, Colombia, Mexico and Peru. It also includes institutional data of the countries in analysis. The database includes data without winsorized and winsorized at 1%. The analysis was carried out with the winsorized data with termination (_1) , except LEVMK and LEVBOOK. Financial data were obtained from https://orbis.bvdinfo.com/version-20191219/orbis/Companies/ Login / StudentLicenceAgreement ?. Institutional data: CORRUPT of https://databank.worldbank.org/source/worldwide-governance-indicators; LEGEFF and ENFORC from https://www.fraserinstitute.org/economic-freedom/; MINORITY of https://databank.worldbank.org/source/doing-business; GOVDBT from https://databank.worldbank.org/source/worldwide-governance-indicators and https://datosmacro.expansion.com/deuda/; DEPOSIT and CAPMARKT from https://databank.worldbank.org/source/international-debt-statistics. The macroeconomic data, GROWGDP and INFLAC were obtained from https://databank.worldbank.org/source/world-development-indicators. In addition, the data not shown by the aforementioned institutions were extracted from the Ministries of Finance and Central Banks of the countries.
DOI: 10.17632/h9zsnxt64r.2
title: Replication data for "Lumpy Investment, Lumpy Inventories"

description: The codes to replicate the results in "Lumpy Investment, Lumpy Inventories", by Rudiger Bachmann and Lin Ma
DOI: 10.17632/y6bv87c3m4.1
title: Dataset of Determinants of turnover intention with generational differences as moderation

description: The current dataset is the results of a survey of 268 employees of small and medium enterprises (SMEs) to investigate the determinants of turnover intention with generational differences as a moderator by using partial least squares structural equation modeling (PLS-SEM). The current dataset includes raw data, PLS-SEM results, and multi-group analysis results. The current dataset has four variables, namely: organizational justice, perceived organizational support, job embeddedness, and turnover intention.
DOI: 10.17632/5yp6brz6mn.2
title: PSCOPE Verification Geometries and Multiscale Simulation Results

description: This data contains the following contents relating to the verification of the Physiology Simulation COuPled Experiment (PSCOPE): 1) 3D models of the 60% and 85% stenosis geometries used in the verification study. 2) Meshes used in the CFD part of the multi-scale simulation. 3) 3D hemodynamic results from the multi-scale simulation.
DOI: 10.17632/m2dzcdgdbg.1
title: Integrity of financial information and firms’ access to energy in developing countries - code

description: Enterprise surveys - Stata code
DOI: 10.17632/7kd5wj7v7p.3
title: IXI Sample Dataset

description: This project is a modified version of the IXI Dataset adapted for particular cases of use where each subject is represented by a directory containing all the modalities associated with them.