cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5873142.v2
title: Supplementary data for 'Evidence that the Great Pacific Garbage Patch is rapidly accumulating plastic'

description: Here we provide four .xls files containing data associated with the manuscript 'Evidence that the Great Pacific Garbage Patch is rapidly accumulating more plastic' published in Scientific Reports by Lebreton et al (2018).added GPGP_contours.shp and MassConcentrationAllSizes.tif, GIS layers used to build Figure 3.Lebreton <i>et al</i>. Evidence that the Great Pacific Garbage Patch is rapidly accumulating plastic. <i>Scientific Reports </i>8,<i> </i>4666 (2018)<br>Below are brief descriptions of each file:<br><br><b>Lebreton2018_Concentration.xls</b>Summary data containing ocean plastics concentrations as presented in Figure 3 (b,c,d,e) of the main manuscript. We provide midpoint, lower and higher estimated numerical and mass concentrations, as well as raw data (i.e. not corrected for vertical mixing) for each sampling event and for microplastics (0.05-0.5 cm), mesoplastics (0.5-5 cm), macroplastics (5-50 cm) and megaplastics (&gt; 50 cm).<br><br><b>Lebreton2018_SamplingInformation.xls</b>This file contains the raw data used to estimate the ocean plastic concentrations reported in Lebreton2018_Concentration.xls. The first tab contains information for all sampling events of this study, including location, date, sampling method (i.e. Manta net tow, Mega net tow, or RGB mosaic), sampled surface area and weather conditions. The 'TrawlDebrisInfo' tab provides the number and mass of debris found in the contents collected by each net tow, while the 'MosaicDebrisInfo' tab contains information related to every ocean plastic identified in the aerial RGB mosaics. This file also provides: (1) the ocean plastic rising velocities used to estimate 'vertically integrated’ ocean plastic concentrations, and (2) the ocean plastic top view surface area x dry weight measurements used to estimate the mass of debris sighted in the RGB mosaics.<br><br><b>Lebreton2018_Characterisation.xls</b>This file includes classification of ocean plastic pieces into object types, as well as polymer types by Fourier Transform Infrared (FT-IR) analysis. It also contains the production dates, languages and countries of production identified on ocean plastics examined during this study.<br><br><b>Lebreton2018_HistoricalDataset.xls</b>Historical data on microplastic concentrations as measured by surface net tows conduced within and around the Great Pacific Garbage Patch. Individual sampling stations are indexed as 'within’ (1) or ‘outside' (0) the GPGP boundary predicted by the numerical model presented in the study.<br><b>GPGP_contours.shp</b>Modelled mass concentration contours of microplastics, used to define the GPGP boundary.<br>ELEV = 1; 10 g/km<sup>2</sup> - ELEV = 2; 100 g/km<sup>2</sup> - ELEV = 3; 1 kg/km<sup>2</sup><br><b>MassConcentrationAllSizes.tif</b>Modelled mass concentration for all size classes. Expressed in log10 of g/km<sup>2</sup>
DOI: 10.17632/4bhyrbftbg
title: EFFECT OF SHOULDER INTERNAL ROTATORS STRENGTHENING VERSUS MUSCLE ENERGY TECHNIQUE FOR SHOULDER EXTERNAL ROTATORS ON BOWLING SPEED AMONG FAST BOWLERS PLAYING CRICKET

description: Study Design: Two group, pretest-posttest randomized clinical trial. Purpose: To analyze the efficacy of shoulder internal rotators muscles strengthening and muscle energy technique for external rotators enhancing the bowling in speed among fast bowlers in cricket. Methods: Participants will be screened based on the inclusion and exclusion criteria. Demographic data shall be collected. Participants taken shall be in the age group between 18-30 years, be randomly assigned in two groups. “Experimental group 1” and ‘Experimental group 2’. Out comes considered in the study are Universal Goniometer and Bowling speed km\h. Significance: Results from this study can provide the basis for studying shoulder internal rotators muscles strengthening and MET of shoulder external rotators to be used in rehabilitation and clinical setups which provide additional helpful to the bowlers to increase bowling speed. Procedure of the study is noninvasive, safe, and feasible. Keywords: Bowling, Cricket, Shoulder internal rotators, Shoulder external rotators.
DOI: 10.17632/jndj8m3mph
title: Data for: A multi-objective matheuristic for designing and planning sustainable supply chains

description: Data for "A multi-objective matheuristic for designing and planning sustainable supply chains".
DOI: 10.17632/vr2bfg8ztt
title: Dataset for A Cross-Sectional Analysis of College Students’ Diet, Mental Health, and Hindrances to Healthy Lifestyles

description: This dataset contains the raw Qualtrics outputs for the three iterations of my study. A large public university in the Northeast was surveyed to collect data for the Fall 2022, Spring 2023, and Fall 2023 academic semesters.
DOI: 10.6084/m9.figshare.19294142.v3
title: Data for Considering sub-basins in the spatio-temporal dynamics of lake food webs

description: <br>The dynamics of populations in lake food webs are driven by a combination of spatial, environmental, and trophic processes. Differences among taxa in their ability to disperse and respond to the environment impact the food web and will be reflected in their abundances over time at different sites within a lake. The level of synchrony among lake sub-basins (within and across populations in a lake) is critical for determining the importance of spatial resolution when sampling and developing models. Using 7 years of survey data in Lake George, NY, we provide a high-level overview of changes in the densities of key food web groups over time (phytoplankton, zooplankton, and macroinvertebrates) and the synchrony of their dynamics among sub-basins. Phytoplankton biomass (measured as chlorophyll a) and zooplankton densities showed strong seasonal and multi-year trends that were synchronous across space within each group. Several macroinvertebrate groups showed significant non-linear multi-year trends, but synchrony was lower. For phytoplankton and some macroinvertebrate groups, we found that densities were highest in the South Basin, likely reflecting the gradient of decreasing nutrients in the lake from south to north. Collectively, these results suggest that modeling the food web using sub-basins is a useful scale for better understanding species dynamics in large lakes.
DOI: 10.6084/m9.figshare.26984461.v1
title: Supplementary Material for: DRESS syndrome that resembles graft versus host disease after chemotherapy in a pediatric patient: A case report

description: Introduction: Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a potentially life-threatening, drug-induced adverse reaction characterized by skin eruptions, lymphadenopathy, fever, and a broad range of other bodily manifestations. The spectrum of histopathologic and clinical presentations is wide; therefore, DRESS syndrome can mimic other diseases. Case Presentation: We present a case of a 4-year-old male patient who started chemotherapy with vincristine, cytarabine, and etoposide. The first clinical signs were fever, hemodynamic in-stability, and maculopapular erythema. Results: Biopsies of skin lesions were taken, and hyper-keratosis, focal parakeratosis, acanthosis with slight spongiosis, and intraepithelial dyskeratotic cells were observed. There was a perivascular lymphoid infiltrate with abundant eosinophils in the dermis, and eosinophil permeations to the acrosyringium and epithelium were found. Conclusion: DRESS syndrome is a drug-induced reaction that shares histopathological findings in skin biopsies with those seen in graft-versus-host disease. Although the histological findings are non-pathognomonic, they were characteristic enough to be of importance in the differential diagnosis.
DOI: 10.15468/dl.vngn3p
title: Occurrence Download

description: A dataset containing 293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Polygonum thunbergii Siebold & Zucc.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 293 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013309-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s33f59wtkt
title: Data for: Structural Analysis of Aras Fault Zone: Evidence from Paleostress Analysis and Strain Partitioning in Transpressive Fault System
DOI: 10.6084/m9.figshare.22200691.v1
title: Sample data for classification

description: Data set sample to run with the classification script
DOI: 10.6084/m9.figshare.22723058.v1
title: Additional file 1 of Expanding the role of PSMA PET in active surveillance

description: Additional File 1: Raw data of all patients included in the study
DOI: 10.6084/m9.figshare.24331156.v1
title: Research data

description: This is the data used to support the results presented in my paper, including pictures.This data is only used by journal editors to review this manuscripts.
DOI: 10.6084/m9.figshare.28465343.v1
title: Complete genome sequence of the probiotic candidate strain <i>Lacticaseibacillus rhamnosus</i> B3421 isolated from <i>Panax ginseng</i> C. A. Meyer on South Korea.

description: Complete genome sequence of the probiotic candidate strain <i>Lacticaseibacillus rhamnosus</i> B3421 isolated from <i>Panax ginseng</i> C. A. Meyer on South Korea.
DOI: 10.5281/zenodo.15568098
title: Dataset of "Harmonizing Public Sentiment Analysis on Indonesia's New Capital (IKN) on X Using Machine Learning"
DOI: 10.5281/zenodo.15568099
title: Dataset of "Harmonizing Public Sentiment Analysis on Indonesia's New Capital (IKN) on X Using Machine Learning"
DOI: 10.6084/m9.figshare.5900149.v1
title: iMHEA Processing Scripts

description: This file contains customised scripts developed in MATLAB for processing the iMHEA data. Files are documented and commented to ease their use by external users.
DOI: 10.6084/m9.figshare.939371.v1
title: PartitionFinder source code version 1.1.0

description: This is source code for PartitionFinder version 1.1.0. The .tar.gz file contains a copy of the entire GitHub repository at the time that this version was created. This file can also be found on GitHub, assuming that the repo still exists, here: <br><br>https://github.com/brettc/partitionfinder/archive/v1.1.0.tar.gz#<br><br>And the latest version of the source code for PartitionFinder can be found here: https://github.com/brettc/partitionfinder/
DOI: 10.17632/78g2r5dp3k
title: Data, R Scripts and Random Forest Models for Winter Catch Crop Monitoring from Sentinel-2 NDVI Time Series in Germany

description: The data contains a zip-file with the following folders: a) data (agricultural parcels, filled and unfilled NDVI time series tables, feature extraction tables and prediction results) (csv, shp), b) model (random forest models for catch crop prediction) (rds), and c) R (R script files for Random Forest model training and prediction with RStudio) (r). The algorithms and models developed for this study were implemented via virtual Docker containers into the timeStamp software prototype which allows for large-scale automatized catch crop analysis on the parcel-level (www.timestamp.lup-umwelt.de). timeStamp saves Sentinel-2 raster data as parcel-wise clipped image time series into a PostGIS database. All further processing steps were performed with the statistical computing language R (RStudio Team, 2020). For raster data manipulation within the PostGIS database and downloading NDVI time series, we used the packages rpostgis (Bucklin and Basille, 2019) and RPostgreSQL (Conway et al., 2017). For time series filling and predictors calculation, we used the packages zoo (Zeileis et al., 2020), hydroGOF (Zambrano-Bigiarini, 2020), tsoutliers (de Lacalle, 2019), and changepoint (Killick et al., 2016). For RF modelling, we used the package caret (Kuhn et al., 2020). The original data for NDVI time series calculation is from the GFZ Time Series System for Sentinel-2 by the German Research Centre for Geosciences, 2020 (https://gitext.gfz-potsdam.de/gts2). The predictors for Random Forest modelling calculated from the NDVI time series are described in the article in the reference section. For further information, we refer to the following article: Schulz, C.; Holtgrave, A.; Kleinschmit, B.: Large-scale winter catch crop monitoring with Sentinel-2 time series and machine learning–An alternative to on-site controls?, Computers and Electronics in Agriculture, Volume 186, 2021, 106173, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2021.106173.
DOI: 10.17632/ymyhmrdg5r
title: AI-Generated Abstracts

description: These are AI-Generated abstracts using ChatGPT's/OpenAI's PlaygroundAI program. Please read the "READ ME FIRST" page before reading the rest.
DOI: 10.6084/m9.figshare.12162690.v1
title: GTT-1-protein-092.dcd

description: Trajectories dataTrajectories of WW domain
DOI: 10.6084/m9.figshare.12517883.v1
title: JVASP-15978 to JVASP-16558

description: JARVIS-DFT input/output files
DOI: 10.6084/m9.figshare.22720630.v3
title: Dataset for "<strong>Arterial blood gas analysis of healthy residents in Huamachuco, Peru (3,164 m)</strong>"

description: Excel file containing the raw data and calculations performed to generate Figure 1 and other data reported in "Arterial blood gas analysis of healthy residents in Huamachuco, Peru (3,164 m)" <br> <br>
DOI: 10.6084/m9.figshare.25658493.v1
title: Thermal data 2024-04-20.zip

description: Transient and steady-state thermal data for brushless DC motors tested on a wind-tunnel stand.Data corresponds to manuscript under review (will update with link as soon as it is published).
DOI: 10.6084/m9.figshare.28190342.v1
title: The contribution of environmental and geospatial variation to multi-species genetic variation: a standardised seascape genetics meta-analysis

description: Genetic diversity in the sea varies spatially and temporally, and understanding which factors contribute to this variation helps inform management and conservation decision making, as well as contributing to our understanding of evolution. However, few studies have explicitly tested the relationship between genetic variation and geospatial/environmental variation across a wide range of coastal marine species. In the present study, we tested for the presence of consistent patterns of explanatory environmental and/or geospatial variables across multiple phyla for species-specific estimates of genetic diversity. We conducted a survey of published/unpublished results of genetic diversity indices for which we generated a standardised and spatially-explicit geospatial and marine environmental data set. Our seascape genetics analyses involved multiple regressions (GLMs) using 11 geospatial and environmental variables for 80 species-specific data sets of genetic variation for New Zealand coastal marine taxa from 9 phyla. Overall, we found very strong evidence to reject the null hypothesis of no significant effect of geospatial and/or environmental variation on the variation of the 9 genetic indices. Although all 11 geospatial and environmental variables explained significant variation in one or more of the genetic indices, our results identified six factors (two geospatial, three related to sea surface temperature, one related to currents) as explaining the greatest levels of significant variation in genetic variation. Generalised binomial testing confirmed that six of eight genetic indices exhibited consistent across-taxon patterns of variation in response to the 11 geospatial and environmental variables. The identification of such response patterns across multiple species and phyla is helpful in the broader context of better understanding how environmental variation - past, present and future - contributes to genetic diversity.
DOI: 10.6084/m9.figshare.5747100.v1
title: R Studio file containing code for the simulation and Figure 3 from Current and potential roles of archaeology in the development of cultural evolutionary theory

description: Archaeology has much to contribute to the study of cultural evolution. Empirical data at archaeological timescales are uniquely well suited to tracking rates of cultural change, detecting phylogenetic signals among groups of artefacts, and recognizing long-run effects of distinct cultural transmission mechanisms. Nonetheless, these are still relatively infrequent subjects of archaeological analysis and archaeology's potential to help advance our understanding of cultural evolution has thus far been largely unrealized. Cultural evolutionary models developed in other fields have been used to interpret patterns identified in archaeological records, which in turn provides independent tests of the models, as demonstrated here through a study of late Prehistoric stone projectile points from the U.S. Southwest. These tests may not be straightforward, though, because archaeological data are complex, often representing events aggregated over many years (or centuries or millennia) while processes thought to drive cultural evolution (e.g. biased learning) operate on much shorter timescales. To fulfil archaeology's potential, we should continue to develop models specifically tailored to archaeological circumstances, and explore ways to incorporate the rich contextual data produced by archaeological research.This article is part of the theme issue ‘Bridging cultural gaps: interdisciplinary studies in human cultural evolution’.
DOI: 10.17632/wyprh5hd75
title: Mechanical Properties and Frost Resistance and Durability of Fully Mixed Recycled Aggregate Concrete Modified with Nano-SiO2 and Fiber Composite for Soil Solidification Rock

description: To sum up, using SSR instead of cement as a cementitious material to make concrete has positive social and economic benefits and significant ecological and environmental benefits, which is in line with the global industrial policy of energy saving and emission reduction and the development of the circular economy. The introduction of NS, PPF, and recycled carbon fiber (RCF) effectively improves the inherent defects of RAC. However, the mechanism of SSR, RCF, and PPF composite concrete is complex, and the influence of SSR on the mechanical properties and frost resistance of concrete needs to be further explored. This study provides practical technical support for the engineering application of SSR RCAC. As shown in Fig. 1, the compressive and flexural strength tests were conducted after 7 days, 28 days, and 60 days of curing cycles by adjusting the amount of SSR (9%, 12%, 15%) and adding different proportions of NS, PPF (0.1%, 0.3%, 0.5%) and RCF (0.25%, 0.5%, 0.75%). To evaluate the mechanical properties of concrete. In the freeze-thaw (F-T) cycle test, the frost resistance of concrete was comprehensively studied by analyzing the mass loss rate (MLR), relative dynamic elastic modulus (RDEM), and residual compressive strength of concrete. At the same time, the microstructure of concrete was deeply analyzed by SEM, and the mechanism of composite reinforcement of RCF, PPF, and NS in SSR RCAC was revealed.
DOI: 10.6084/m9.figshare.1289778.v1
title: prices of stock market indices and returns of individual stocks

description: the prices of 25 stock market indecs and the normalized returns of 200 individual stocks in New York Stock Exchange and Shanghai Stock Exchange
DOI: 10.6084/m9.figshare.25860574.v1
title: Análisis Obj 1.xlsx

description: Toxicity analysis of Imidacloprid and 2-4-D on anurans.
DOI: 10.17632/bvpt9xdjz8
title: Marked Speed Bump/ Speed Breaker Dataset (India)

description: This dataset contains cropped marked speed bump/breaker images used in the paper, "Driver Assistance System for Marked Speed Breaker Detection".Total number of images is 969. The rest of the images used in the dataset were sourced from the internet. The citation for another dataset we used is given below in the related links section.
DOI: 10.17632/nf4cz6m939
title: Uniaxial compression data

description: Uniaxial compression data from samples collected at three different depths (0-5, 10-15 and 20-25 cm) from different fields in Southern Minas Gerais state, Southeastern Brazil, annually cultivated with corn for silage production. Samples were collected according to a spatially-stratified design. In each sampling point, six undisturbed soil samples were collected (within metallic cylinders 2.5 cm high and 6.4 cm wide), a replicate pair in each of the sampling depths: 0-5 cm, 10-15 cm, and 20-25 cm. A set of 76 sampling points was distributed in the three fields (field 1A: 22 points in 6.2 ha; field 1B: 29 points in 15.6 ha; field 2A: 25 points in 7.6 ha), totalling 456 samples. The samples were saturated and set to equilibrate at water tensions of 10 or 100 kPa (half the samples at each water potential). These water tensions were chosen because silage harvesting usually occurs during the rainy season and the soil is therefore expected to be moist. The samples were then submitted to drained, confined uniaxial compression tests on electric-pneumatic consolidometers (model S-450, Durham GeoSlope, USA). A stress sequence of 25, 50, 100, 200, 400, 800 and 1600 kPa was applied to the samples for eight minutes per load step without decompression between each step. reference: field, depth and water tension; field: identifies sampling field r1, r2 and ed, respectively 1A, 1B and 2A in the attached figure; depth: sampling depth (0-5, 10-15 and 20-25 cm); psi: water potential (in kPa) as numeric variable (10 or 100 kPa); tensao: water potential (in kPa) as categorical variable (10 or 100 kPa); Dsmax: maximum bulk density from the standard Proctor test (Mg/m3); sample: sample identification number (each undisturbed sample was collected within metallic rings 6.4 cm wide and 2.5 cm high); load: applied loads (in kPa) during the uniaxial compression tests (25, 50, 100, 200, 400, 800 and 1600 kPa); w: weght basis water content (g/g); teta: volume basis water content (m3/m3); db0: initial bulk density (that is, before compression) in Mg/m3; e: initial void ratio (that is, before compression); n: initial total porosity (that is, before compression) in m3/m3; sat: initial degree of satuartion (that is, before compression); air: initial air-filled porosity (that is, before compression), calculated as the difference between total porosity and water content; dbi: bulk density at each applied load level; GC: degree of compaction (dbi/Dsmax) at each applied load level; ei: void ratio at each applied load level; ni: total porosity at each applied load level; strain: vertical deformation at each applied load level; sati: degree of saturation at each applied load level; airi: air-filled porosity at each applied load level; deriv.ro: rate of change in bulk density at each load increment; deriv.e: rate of change in void ratio at each load increment; deriv.n: rate of change in total porosity at each load increment; deriv.str: rate of change in strain at each load increment.
DOI: 10.6084/m9.figshare.10269845.v1
title: UI logs

description: This dataset contains a set of UI logs recorded by user, that describe execution of a data transferring task
DOI: 10.6084/m9.figshare.17111333.v1
title: stick slip nucleation and failure

description: A paper