cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17152991.v2
title: WSGDI: A database of wood specific gravity for Indian forests.

description: Wood specific gravity (WSG) is an important component in biomass estimation through non-destructive allometric approach. However, a number of factors like climatic condition, soil, disturbance, management practice, geographic location etc. have huge impact on WSG variation. The present data set provides a collective WSG data for different species (333) consisting of 711 individuals procured from already published research paper for 11 forest groups of India occurring in different climatic and edaphic conditions. It also includes WSG data of a number of juvenile tree species for tropical dry deciduous forest. A number of studies in India have not considered WSG value in biomass estimation of juvenile trees. However, previous reports of Chaturvedi et al. (2012) suggested that the use of WSG in biomass estimation provide better result than using only the diameter and height as variables. It also includes samples/ species column for getting information about the number of samples considered for WSG determination. Especially this data set will be helpful to get WSG data on the basis of similar climatic condition, forest group according to the need of the future studies and this may minimize the source of WSG variation which would ultimately minimize variation in biomass and carbon estimation. It will also help to provide WSG data for allometric model development. Also it will be help to study the physical property (strength) of wood. Further, use of this database will save the time of workers as it is easily assessable and it provides WSG value of a number of species at one place.
DOI: 10.6084/m9.figshare.2008407.v1
title: RT, accuracy, and clinical measures

description: Each row represents a trial of the antisaccade task.
DOI: 10.6084/m9.figshare.5492620.v1
title: Supplementary Material for: Identifying a Potential Summary Measure for Overall Caries Level in Children Examined with the International Caries Detection and Assessment System

description: <b><i>Objective:</i></b> To identify a potential summative summary measure that reflects a patient's overall caries level in children examined with the International Caries Detection and Assessment System (ICDAS). <b><i>Subjects and Methods:</i></b> Participants were 1- to 15-year-old children from Kuwait, Brazil, and Spain. Children's teeth were examined using the ICDAS. Multiple measures of central tendency and dentition-specific indices were considered as potential summative measures. The relationship between the summative measures and number of caries lesions was evaluated considering degrees of caries severity using Spearman's correlation analysis. The results were generated using the Kuwaiti sample and were cross-validated using the Brazilian and Spanish samples. <b><i>Results:</i></b> A total of 2,808 children participated in the present study. Total ICDAS score and mean ICDAS score showed a strong correlation with the number of caries lesions at different caries severity levels in primary, mixed, and permanent dentitions. The total ICDAS score of 51 buccal (B), 61B, 54 occlusal (O), 55O, 64O, 65O, 74O, 75O, 84O, and 85O surfaces in primary dentition and the total ICDAS score of 14O, 16 lingual (L), 16O, 24O, 26L, 26O, 36B, 36O, 37O, 46O, 46B, and 47O surfaces in permanent dentition or mixed dentition (if present) showed strong correlations with the number of caries lesions at different caries severity levels. <b><i>Conclusions:</i></b> Total ICDAS and mean ICDAS scores were the best summary measures of overall caries level at different dental stages. Total ICDAS scores of selectively examined 10 surfaces in primary dentition and 12 surfaces in permanent dentition can give an excellent summary measure for a patient's overall caries level with high diagnostic accuracy.
DOI: 10.6084/m9.figshare.7643114.v1
title: Source data for manuscript "Whole-genome resequencing reveals Brassica napus origin and genetic loci involved in its improvement".

description: Source data for manuscript "Whole-genome resequencing reveals Brassica napus origin and genetic loci involved in its improvement".
DOI: 10.17028/rd.lboro.2062119.v1
title: Figures: Whispering galleries and the control of artificial atoms

description: Figures from the article and supporting information "Whispering galleries and the control of artificial atoms" published in Scientific Reports 6: 25084 (2016)
DOI: 10.17632/22jmt8xhpn
title: Peruvian Banknotes

description: Recognizing and categorizing banknotes is a crucial task, especially for individuals with visual impairments. It plays a vital role in assisting them with everyday financial transactions, such as making purchases or accessing their workplaces or educational institutions. The primary objectives for creating this dataset were as follows:

1. To compile a dataset containing both the old and new Peruvian currency.
2. To establish a dataset exclusively for Peruvian currency.
3. To ensure that the dataset comprises high-quality images.

We utilized the rear cameras of mobile phones to capture images of Peruvian banknotes. The processed image dataset comprises a total of 9,315 images, with 6,568 for training, 2,486 for validation, and 261 for testing. This processed dataset encompasses 16 distinct categories, including the obverse and reverse sides of 10, 20, 50, and 100 old Peruvian soles, as well as the obverse and reverse sides of 10, 20, 50, and 100 new Peruvian soles. The images were taken under various backgrounds and lighting conditions, including cluttered backgrounds and images of folded banknotes. Researchers specializing in banknote detection and recognition will find this dataset highly valuable.

Instructions: 
The processed dataset comprises 16 categories, including the obverse and reverse sides of 10, 20, 50, and 100 old Peruvian soles, as well as the obverse and reverse sides of 10, 20, 50, and 100 new Peruvian soles.
DOI: 10.17632/s6fz43svsz
title: Movement and differential consumption of siRNA duplexes underlies mobile RNAi (Full-length, unprocessed blots)
DOI: 10.6084/m9.figshare.11799765.v2
title: Metadata record for: Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London

description: This dataset contains key characteristics about the data described in the Data Descriptor Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.25559106.v3
title: Plant functional traits affect biomass responses to global change: a meta-analysis

description: Whether and how the responses of above- (AGB) and belowground biomass (BGB) and aboveground net primary production (ANPP) to global changes are linked to plant functional traits is unclear. We conducted a global meta-analysis based on 2561 observations from 318 manipulative studies (primarily forest, grassland and cropland monocultures) to examine the effect of plant functional traits of dominant species (i.e., morphological and chemical traits, mycorrhizal association type and symbiotic nitrogen (N) fixation) on the responses of plant biomass production to global change drivers, i.e., elevated CO<sub>2</sub> (eCO<sub>2</sub>), elevated nutrient (eNutrient), elevated water (eWater), warming, and drought.We test following hypotheses (1) the responses of biomass production to GCDs will be stronger in plant communities dominated by fast-growing species than in those dominated by slow-growing species; (2) the responses of plant biomass production in EcM species-dominated communities to eCO<sub>2</sub>, eWater, warming and drought will be stronger than those in AM species-dominated communities, but the response of plant biomass production to eNutrient will be stronger in communities dominated by AM species than those dominated by EcM species; (3) the response of plant biomass production to eCO<sub>2</sub>, eWater, warming and drought will be more pronounced in communities dominated by N-fixing species than that dominated by non-N-fixing plants, while the reverse response will be found to eNutrient.
DOI: 10.6084/m9.figshare.28630787.v1
title: Supplementary Material for: Physical Activity in Very Young Children living with Type 1 diabetes

description: Introduction: Physical activity has health benefits for people living with type 1 diabetes (T1D), however there are barriers limiting their ability to meet minimum recommended levels of moderate-to-vigorous-physical-activity (MVPA). We aimed to measure physical activity levels and barriers to physical activity in children &lt; 7 years of age living with T1D and compare to general population data and guidelines.
Methods: Children &lt; 7 years of age with T1D were recruited from two paediatric diabetes centres in Australia. Physical activity was measured for 7 days using an accelerometer. Parents completed questionnaires related to barriers to physical activity [Barriers to Physical Activity in Diabetes (BAPAD1) and fear of hypoglycaemia [Hypoglycemia Fear Survey - Parents of Young Children (HFS-PYC)]. Continuous Glucose Monitor (CGM) data was collected. MVPA was compared to the general population.
Results: Thirty-three children, mean age 4.5 years (SD 1.2), mean HbA1c 7.1% (SD 1.1) [55 mmol/mol (SD 13)] and mean diabetes duration 35 months (SD 21) participated. Mean MVPA did not meet recommendations, although it was not significantly different to general population data [42.6 minutes (SD 26.02) v 42.8 minutes (SD 17.05), p=0.972. CGM Time in range 3.9-10mmol/L (TIR) correlated with MVPA (TauB=0.396, p=0.19). The median (Q1,Q3) for BAPAD1 average score was 2.4 (2, 4) and median HFS behaviour and worry sub-scores were both low at 2.3 (2,3).
Conclusions: Children &lt; 7 years of age did not meet the recommended daily MVPA level independent of diabetes. Parental concern regarding diabetes related barriers to physical activity was not high.
DOI: 10.6084/m9.figshare.6876455.v1
title: Eyetracking 2018. Dataset 1 and 2.

description: Datasets described in the manuscript: 'Empathy Modulates the Temporal Structure of Social Attention'<br><b>Dataset1.txt.</b><br><i>Column names.</i><br>1. X coordinate2. Y coordinate3. Timestamp (ms)4. Participant5. Trial6. Codes whether the stimulus is intact or scrambled (1= intact, 2 = scrambled).7. Codes whether gaze is in the social AOI (boolean).8. Codes whether gaze is in the nonsocial AOI (boolean).<br>9. Codes the presence of trackloss (boolean)10. The observer's EQ score.<br><br><br><b>Dataset2.txt.</b><br><br><i>Column names.</i><br>1. X coordinate2. Y coordinate3. Codes the side of the social stimulus4. Timestamp (ms)5. Participant6. Trial7. Codes whether gaze is in the left AOI (boolean)8. Codes whether gaze is in the right AOI (boolean)<br>9. Codes whether the stimulus is intact or scrambled10. Codes the AOI that gaze is directed in (see next 2 columns)11. Whether the gaze is in the social AOI (boolean).12. Whether the gaze is in the nonsocial AOI (boolean).13. A column indicating the presence of trackloss (boolean)14. The observer's EQ score.<br><br><br>
DOI: 10.17632/kvvdgvs8zs
title: Data on the impact of COVID 19 on Parental Engagement across 23 countries

description: This data article demonstrates on the impact of International Covid 19 on parental engagement study (ICIPES) investigated the ways in which parents and caregivers are building capacity to engage with children’s learning during the period of social distancing arising from global Covid-19 pandemic. The online survey was conducted in 23 countries across the world. Using a random sample method, a sample size of 4658 parents/caregivers was surveyed from 23 countries. The data were obtained via a semi-structured questionnaire.
DOI: 10.17632/ydtcybfpv6
title: Fossil Fuel Power Plants Data

description: This data set includes the operational data of 70 power plants in Turkey. The data covers the location, fuel type, average annual electricity consumption, cooling system type, average outdoor temperature, and annual water consumption data.
DOI: 10.6084/m9.figshare.12573872.v1
title: ACL-ARC dataset

description: The dataset used in the experiments on the paper "Modeling citation worthiness by using attention‑based bidirectional long short‑term memory networks and interpretable models"<br>For the pre-processing of the dataset, please refer to the paper Bonab et al., 2018 (http://doi.org/10.1145/3209978.3210162)<br>We downloaded a copy of that dataset, adjusted some fields. The data are stored in jsonl format (each row is an json object), we list a couple of rows as example:<br><code>{"cur_sent":"the nespole uses a client server architecture to allow a common user who is initially browsing through the web pages of a service provider on the internet to connect seamlessly to a human agent of the service provider who speaks another language and provides speech to speech translation service between the two parties","cur_scaled_len_features":{"type":1,"values":[0.06936542669584245,0.07202216066481995]},"cur_has_citation":1}</code><code> </code><br> <br><br>For the code using this dataset to modeling citation worthiness, please refer to https://github.com/sciosci/cite-worthiness<br><br><br><br><br>
DOI: 10.6084/m9.figshare.28053197.v1
title: Submersed aquatic vegetation enhances density and diversity of epifaunal invertebrates compared to filamentous mats in the central Baltic Sea

description: Metadata (.txt), dataset (.xlsx), and R script (.R) for the analysis conducted in the manuscript Submersed aquatic vegetation enhances density and diversity of epifaunal invertebrates compared to filamentous mats in the central Baltic Sea
DOI: 10.6084/m9.figshare.12845105.v1
title: Gene database of Lactobacillus pentosus strain DSM 20314

description: This work sought to provide fundamental information about the genetic repertoire of <i>Lactobacillus pentosus</i> strain DSM 20314 by parsing the annotated genome sequence of the bacterium downloaded from Genbank. Comprising gene name, gene function, and gene sequence, the resource should find use in a variety of fundamental and applied microbiology workflows.
DOI: 10.17632/4rcf98s74c
title: isoap: A software for isosurface extraction on arbitrary polyhedra

description: The implemented algorithm extracts, from discrete data, isosurfaces on arbitrary polyhedra, convex or non-convex, even with non-planar face boundaries. The software package also includes a user manual and routines for writing the geometry of polyhedra and isosurfaces in external files. Tests programs are included to extract isosurfaces on single polyhedral cells and grids of any type, either from implicit mathematical functions or discrete data such as volume fractions or signed distances to scanned surfaces. The proposed method for isosurface extraction on arbitrary polyhedra uses a general polygon tracing procedure, which can be applied to any convex or non-convex geometry, and produces consistent results even for ambiguous situations. The locations of the extracted isosurface points are approximately computed by interpolation. This procedure does not rely on predefined configurations and can be considered as an extension of the marching cubes technique to arbitrary polyhedra. The implemented routines can be used in FORTRAN or C, and, to speed up the operations performed over grids, the OpenMP application programming interface is used. The proposed algorithm can be used in multiple applications, including the visualization of surfaces in computer graphics or the reconstruction of interfaces in PLIC (piecewise linear interface calculation) VOF (volume of fluid) methods.
DOI: 10.17632/zhc7z5xtg5
title: Tracking Plant Growth Using Image Sequence Analysis- Dataset

description: This dataset consists of five subsets with annotated images in COCO format, designed for object detection and tracking plant growth:
1. Cucumber_Train Dataset (for Faster R-CNN)
- Includes training, validation, and test images of cucumbers from different angles.
- Annotations: Bounding boxes in COCO format for object detection tasks.

2. Tomato Dataset
- Contains images of tomato plants for 24 hours at hourly intervals from a fixed angle.
- Annotations: Bounding boxes in COCO format.

3. Pepper Dataset
- Contains images of pepper plants for 24 hours at hourly intervals from a fixed angle.
- Annotations: Bounding boxes in COCO format.

4. Cannabis Dataset
- Contains images of cannabis plants for 24 hours at hourly intervals from a fixed angle.
- Annotations: Bounding boxes in COCO format.

5. Cucumber Dataset
- Contains images of cucumber plants for 24 hours at hourly intervals from a fixed angle.
- Annotations: Bounding boxes in COCO format.

This dataset supports training and evaluation of object detection models across diverse crops.
DOI: 10.6084/m9.figshare.1230044.v1
title: Ketton Carbonate

description: Micro-Computed Tomography (micro-CT) segmented image of Ketton Carbonate. The micro-CT image is segmented according to the variation of grey values between grains (bright- 255 grey value) and pores (dark- 0 grey value) using the watershed segmentation algorithm in the Avizo software. Details of the images (voxel resolution and image size) is present as a text file. The image can be visualized in visualization software such as Fiji ((http://fiji.sc/Fiji) or Avizo. If you utilise this in a scientific publication then please mention in the acknowledgements that this data is courtesy of Qatar Carbonates and Carbon Storage Research Centre, Imperial College London. For more information, please contact Saurabh M Shah at saurabh.shah10@imperial.ac.uk or Edo S Boek at e.boek@imperial.ac.uk
DOI: 10.17632/dyp8yr2sr2
title: Calibrated wealth ratios and labor-demographic variables across the 1997-2017 waves of the Chilean Family Expenditures Survey

description: This dataset reports an analyzed version of the Chilean Family Expenditures Survey with variables created from the article: Madeira, C., The impact of the Chilean pension withdrawals during the Covid pandemic on the future savings rate, Journal of International Money and Finance, forthcoming, 102650 (2022). https://doi.org/10.1016/j.jimonfin.2022.102650 .

The data contains 33,538 households from the 1997, 2007, 2012 and 2017 waves. The variables include Household identifier variables and population weights, Demographic variables (gender, age, education, spouse occupation, couple, child and senior persons), Work and income variables, Savings rates and consumption flows variables, Ratios of household wealth as a fraction of permanent household income, Betas for the linear correlation between unemployment risk and income volatility of the different 538 worker types with the aggregate consumption kernel pricing returns and the pension fund returns.

The applied model that was calibrated from the raw data is explained in detail in the online file “Methodology.pdf”. The codes used to create the variables are explained in detail in the file README_JIMF_Codes_Summary.docx and CODES_JIMF.zip includes all the 45 Stata software codes used in the article. The file Data_summary.docx summarizes the dataset.

All the methods (in Stata do-files), theoretical methodology, and the datasets are published online with the Mendeley Data.
DOI: 10.6084/m9.figshare.1319550.v1
title: Gaussian Job Archive for BrH5O2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.21941033.v3
title: Repository: Digital twins along the product lifecycle : a systematic literature review of applications in manufacturing

description: This systematic literature review of Digital Twin applications in manufacturing was carried out to identify current trends of applications of the digital twin concept in the literature under two main dimensions: its nature regarding the interaction structure between digital and physical objects, but also its applications, along the product lifecycle. The publications selection was based on the presence in this of a case of application of a digital twin with a focus in the Manufacturing sector. Within this review, 188 scientific papers were compiled and manually analyzed. In this repository is available the analysis table for this review. The data in this repository is available in three different table formats to facilitate its accessiblity. Along with this data are the PRISMA checklist and flow diagram relatives to this systematic literature review.
DOI: 10.15468/dl.yqs93h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-10.6036 29.6447,-11.635 28.8496,-9.0352 28.8496,-9.0352 33.4562,-9.6631 32.8696,-9.7766 32.3158,-10.3241 31.5424,-10.3942 30.6542,-10.1716 30.2225,-10.6036 29.6447))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013370-250525065834625/datasets/export for details.
DOI: 10.17632/cmkmx2gzb3
title: Project Gutenberg - Characters, Authors and their Gender

description: The raw data for the study was obtained from a cleaned version of Project Gutenberg, which has 3,036 English books as text files, penned by 142 authors between 1700-1950. Out of the 142 authors, 14 are female. 

The first file, a 'books_data_json.txt', contains processed books data is in the form of a JSON (JavaScript Object Notation) text file containing each of the 3036 books information in as many dictionaries. Each book has the title of the book as the main key and another dictionary with the information about the book as its value. The keys in this dictionary are: 

‘author_male?’: True if the author is male and False if the author if female
‘author_year’: active decade of the author
‘characters’: a list of all characters in the book
‘character_count’: {‘male’: number of male characters, ‘female’: number of female characters}
‘character_occurrence_count’: {‘male’: number of times male characters are referenced, ‘female’: number of times female characters are referenced}
‘pronoun_count’: {‘male’: number of male pronouns in the book, ‘female’: number of female pronouns in the book}

The second file, 'Authors_Metadata.xlsx', contains information about each author in the dataset, specifically - gender, active year of the author, genres of their work and the number of books by the author in the dataset. All the information about the author was collected manually using resources from the internet like Wikipedia.
DOI: 10.17632/v7dhjnd8xg
title: Causal inferences in the contemporary economics

description: The dataset covers tabularic summaries of all the studies putting forth an explicitly causal conclusion included in the systematic literature review of three top economic journals (AER, JPE, QJE; 2005-2015). The table specifies each of the analyzed articles, classifies its research methods and delivers a short description of causal inference that hopefully will prove useful for further research. To cite this dataset, please also refer to my article "Evidence behind causal inference in the contemporary economics". I would like to thankfully acknowledge the support from the National Science Centre, Poland (under grant no. 2015/19/N/HS1/01066). The author received a Ph.D. scholarship from the National Science Centre, Poland under grant no. 2018/28/T/HS1/00007.