cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pn8th3kb44.1
title: Datasets relating to "G-phase strengthened iron alloys by design"

description: Two datasets are accessible here: (1) l-decomposed partial density of states for X6(Ni/Fe)16Si7 G-phase compositions, and (2) elastic constants of 10 G-phase compositions, as calculated by density functional theory and described in the publication G-phase strengthened iron alloys by design.
DOI: 10.17632/wrkvzf567k.1
title: Early onset preeclampsia and eclampsia in low-resource settings

description: This was a retrospective cross-sectional study carried out at Mpilo Central Hospital a government teaching and tertiary referral centre. It covered the period from February 1, 2016 to July 30, 2018. The aim of the study was to assess the incidence of early-onset severe preeclampsia and eclampsia in a low-resource setting and associated factors. Early-onset severe preeclampsia was diagnosed in those patients with high blood pressure(SBP ≥160, DBP ≥110mmHg) and either severe headaches, epigastric pain and deranged biochemical/haematological blood indices. Eclampsia was diagnosed in women who had a grand mal seizure with features of preeclampsia and no previous history of a seizure disorder such as epilepsy. Women with such history were excluded from the study. All women who were between 20-33+6weeks' of gestation and met the above criteria were included in the study. Early neonatal death was recorded within 7 days of birth. A paper data collection tool was used to collect information from the labour ward delivery registers, perinatal registers and mortality registers. Data were also collected from neonatal intensive care unit and special care baby unit. Hospital case notes were retrieved and data collected from there as well. The data tool collected maternal, fetal and neonatal demographic, clinical and out-come information. Data were entered into Microsoft Excel Inc., then exported to Stata Version 20 for analysis. Data cleaning and coding were done in Stata Version 15(StartCorp, Texas USA) before final analysis. Simple descriptive statistics were performed and presented as frequencies and percentages for categorical variables. Continuous variables were checked for normality using Shapiro Wilk test. Mean and standard deviation(SD) were reported for normal data. Tests of association between variables were performed using Pearson chi-square and Fisher’s exact tests. A p value of &lt;0.05 was considered statistically significant. The incidence of early-onset severe preeclampsia and eclampsia at the unit was 1.0%. There was a statistically significant difference between place of dwelling and maternal complications, with urban dwellers suffering more complica-tions. Tests of association were done between various variables and fetal sur-vival to discharged home showed the following associations; gestational age, mother’s booking status, mother’s systolic blood pressure and diastolic blood pressure, receiving corticosteroid therapy and fetal birth weight.
DOI: 10.17632/dtjsdx8zps.2
title: In silico secretome dataset predicted from of Leptospira interrogans serovar Lai str. 56601

description: Classically secretome dataset (173 protein sequences) and non-classically secretome dataset (446 protein sequences) predicted from whole protein sequences of Leptospira interrogans serovar Lai str. 56601 dataset and COGs functional classification.
DOI: 10.17632/f65p2mfphd.2
title: FINANCIAL STRUCTURE AND ECONOMIC GROWTH LINK IN NIGERIA
DOI: 10.17632/yjvj4vpmgc.1
title: Ischaemic preconditioning and pharmacological preconditioning with dexmedetomidine in an equine model of small intestinal ischaemia-reperfusion

description: In a randomized controlled experimental trial, 15 horses were assigned to three groups: control (C), IPC, and PPC with dexmedetomidine (DEX). All horses were placed under general anaesthesia and 90% jejunal ischaemia was induced for 90 minutes, followed 30 minutes of reperfusion. In group IPC, three short bouts of ischaemia and reperfusion were implemented, and group DEX received a continuous rate infusion of dexmedetomidine prior to the main ischaemia. Jejunal biopsies were collected before ischaemia (P), and at the end of ischaemia (I) and reperfusion (R). Mucosal injury was assessed by the Chiu-Score, inflammatory cells were stained by cytosolic calprotectin. The degree of apoptosis and cell necrosis was assessed by cleaved-caspase-3 and TUNEL. The data stets contain the orginal analysis of histopatholgy score (Chiu Score) and immunohistochemistry as number of cells per mm2. Hypothesis was that both ischaemic precondtioning and dexmedetomidine ameliorate reperfusion injury.
DOI: 10.5281/zenodo.3514674
title: Simulated random habitat networks and generic networks

description: Simulated random habitat networks and generic networks
DOI: 10.5281/zenodo.3514675
title: Simulated random habitat networks and generic networks

description: Simulated random habitat networks and generic networks
DOI: 10.5281/zenodo.3497313
title: AI validated plant observations from social media: Flickr images from central London 2011-2019

description: This dataset is the result of using an AI image classifer to classify images of plants on social media. We believe this is the first AI validated dataset of biological records taken from social media. This represents the dawn of AI naturalists whose domain of exploration is not the outdoor world but the digital realm. These AI naturalists will trawl streams of data from all over the globe, identifying genuine images of species, and in so doing create valuable data sets that will further our understanding of the distribution of wildlife on our planet. This dataset contains 31,973 classifications of images taken in central London between May 2011 and September 2019 retrieved using the search term 'flower' on Flickr.com. Some images have very low classification confidence (7910 below 0.1), while others have very high confidence (3185 over 0.9). As expected given the spatial extent of the dataset many of the observations are of planted species in gardens and parks. August_et_al_2019.csv provides the data while metadata.txt contains a description of the data and its generation. An interactive visualisation of this data can be viewed at https://tomaugust.shinyapps.io/ai_flickr_data/
description: TA conceived the idea, undertook the analyses and wrote the plantnet R-package used to interface with the PlantNet API for classification (https://github.com/BiologicalRecordsCentre/plantnet). TA, NF, CM, NB, JM, RS and ES, developed a prototype of this idea at the Quantitative Ecology Hackathon 2019 hosted by the British Ecological Society. NF developed the photosearcher R-package, used for retrieving image data from Flickr (https://github.com/nfox29/photosearcher). PB and AA, granted free access to the PlantNet API for this project (https://my.plantnet.org/) and assisted TA in the development of the plantnet R-package. The BES Hackathon was supported by the British Ecological Society and Methods in Ecology and Evolution. TA was supported by COST action CA17122 'Increasing understanding of alien species through citizen science' and Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
DOI: 10.5281/zenodo.3497314
title: AI validated plant observations from social media: Flickr images from central London 2011-2019

description: This dataset is the result of using an AI image classifer to classify images of plants on social media. We believe this is the first AI validated dataset of biological records taken from social media. This represents the dawn of AI naturalists whose domain of exploration is not the outdoor world but the digital realm. These AI naturalists will trawl streams of data from all over the globe, identifying genuine images of species, and in so doing create valuable data sets that will further our understanding of the distribution of wildlife on our planet. This dataset contains 31,973 classifications of images taken in central London between May 2011 and September 2019 retrieved using the search term 'flower' on Flickr.com. Some images have very low classification confidence (7910 below 0.1), while others have very high confidence (3185 over 0.9). As expected given the spatial extent of the dataset many of the observations are of planted species in gardens and parks. August_et_al_2019.csv provides the data while metadata.txt contains a description of the data and its generation. An interactive visualisation of this data can bee viewed at
description: TA conceived the idea, undertook the analyses and wrote the plantnet R-package used to interface with the PlantNet API for classification (https://github.com/BiologicalRecordsCentre/plantnet). TA, NF, CM, JM, and RS, developed a prototype of this idea at the Quantitative Ecology Hackathon 2019 hosted by the British Ecological Society. NF developed the photosearcher R-package, used for retrieving image data from Flickr (https://github.com/nfox29/photosearcher). PB and AA, granted free access to the PlantNet API for this project (https://my.plantnet.org/) and assisted TA in the development of the plantnet R-package. The BES Hackathon was supported by the British Ecological Society and Methods in Ecology and Evolution. TA was supported by COST action CA17122 'Increasing understanding of alien species through citizen science' and Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
DOI: 10.7910/dvn/x0ec41/ep4cyd
title: bjps_germany_data.tab

description: Germany survey experiment data
DOI: 10.7910/dvn/x0ec41/taklkh
title: bjps_Avdagic_Savage_immigration_and_welfare_dofile.do

description: This file contains all code to replicate results from the paper and online appendix. To replicate graphs from this paper, users will need to install the user-written package 'grc1leg'.
DOI: 10.5281/zenodo.3514685
title: AI validated plant observations from social media: Flickr images from central London 2011-2019

description: This dataset is the result of using an AI image classifer to classify images of plants on social media. We believe this is the first AI validated dataset of biological records taken from social media. This represents the dawn of AI naturalists whose domain of exploration is not the outdoor world but the digital realm. These AI naturalists will trawl streams of data from all over the globe, identifying genuine images of species, and in so doing create valuable data sets that will further our understanding of the distribution of wildlife on our planet. This dataset contains 31,973 classifications of images taken in central London between May 2011 and September 2019 retrieved using the search term 'flower' on Flickr.com. Some images have very low classification confidence (7910 below 0.1), while others have very high confidence (3185 over 0.9). As expected given the spatial extent of the dataset many of the observations are of planted species in gardens and parks. August_et_al_2019.csv provides the data while metadata.txt contains a description of the data and its generation. An interactive visualisation of this data can be viewed at https://tomaugust.shinyapps.io/ai_flickr_data/
description: TA conceived the idea, undertook the analyses and wrote the plantnet R-package used to interface with the PlantNet API for classification (https://github.com/BiologicalRecordsCentre/plantnet). TA, NF, CM, NB, JM, RS and ES, developed a prototype of this idea at the Quantitative Ecology Hackathon 2019 hosted by the British Ecological Society. NF developed the photosearcher R-package, used for retrieving image data from Flickr (https://github.com/nfox29/photosearcher). PB and AA, granted free access to the PlantNet API for this project (https://my.plantnet.org/) and assisted TA in the development of the plantnet R-package. The BES Hackathon was supported by the British Ecological Society and Methods in Ecology and Evolution. TA was supported by COST action CA17122 'Increasing understanding of alien species through citizen science' and Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
DOI: 10.5281/zenodo.3514679
title: MariaPaniw/meerkats: meerkat_population_viability

description: Code and data to replicate analyses in Paniw et al. 2019 Science 363: 631-635.
DOI: 10.5281/zenodo.3514680
title: MariaPaniw/meerkats: meerkat_population_viability

description: Code and data to replicate analyses in Paniw et al. 2019 Science 363: 631-635.
DOI: 10.17632/wc4szxt4n8.2
title: Disrupted acquisition of male sexual experience following early social isolation and artificial rearing is prevented by tactile stimulation

description: Our research shows that early maternal deprivation through artificial rearing impair the acquisition of masculine sexual experience in rats, and tactile stimulation during isolation prevent this effect.
DOI: 10.17632/6z6bdxrkkb.2
title: Compositions of Soil, Sediment, and Water in SW Bangladesh

description: Samples of rice paddy soil, tidal channel sediment, and water were collected from five different sites in SW Bangladesh in May and November of 2016 and chemically analyzed to characterize element mobilities and the geochemical factors controlling them. Soil and sediment samples were found to have compositions similar to each other and to average upper continental crust. Disequilibrium partitioning of elements between solids and water or deionized water extracts was observed, although apparent partition coefficients mostly show the expected order of element mobilities. Solid compositions do not change seasonally while surface water compositions do, and little spatial variation was observed.
DOI: 10.17632/7xkc6txwb8.4
title: Effect of grain size on hydrogen diffusion and trapping in X70 pipeline steel

description: The data includes the typical Permeation curve from the Hydrogen Permeation experiment, EDS characterization reports after the Hydrogen Microprint Technique experiments and Grain size Measurement by Heyn's Technique using the SEM images.
DOI: 10.17632/8cdwkhcsy7.2
title: Biometric data of arboreal individuals from ecotonal forests in eastern Maracá Island, northern Brazilian Amazonia

description: The database provides information on stem measurements of arboreal individuals (tree + palm) from ecotonal forests in eastern Maracá Ecological Station, a federal environmental protected area formed by Maracá Island and small islets in the Rio Uraricoera, State of Roraima, northern Brazilian Amazonia. 129 permanent plots (10 x 50 m each) were established along the six East-West grid trails of the Biodiversity Research Program (PPBio). All arboreal individuals with stem diameter ≥ 10 cm present in the plots were marked with numbered aluminum tags which were fixed by galvanized nails. Diameter measurements were performed using a diameter tape (model 283D / 5m). The dataset is available in a file xlsm showing the identification and geographical location of the sampling units (plots), year of each census (date), identification code of each arboreal individuals, point of measured (POM in mm), stem diameter (cm) and taxonomic group (tree or palm). This dataset was supported by project “Crescimento e mortalidade de árvores em florestas ecotonais de Roraima: efeito das condicionantes ambientais e da variabilidade climática” (Proc. CNPq n. 403591/2016-3). W.R.S. and H.L.S.F. were supported by postgraduate fellowships from PELD Program (CNPq/CAPES/FAPs/BC-Fundo Newton; Proc. n. 441575/2016-1). The Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Brazil) provided a fellowship for R.I.B. (Proc. CNPq 304204/2015-3), while C.D.A.V. was supported by postgraduate fellowship from the Organization of American States (OAS).
DOI: 10.17632/fmv39wsywy.2
title: JAP AREG 2019-01-19

description: Supplemental Figures
DOI: 10.17632/hg9hzkwwyc.1
title: Citation Game

description: This data set describes the pre and post test scores of students who took part in a classroom game to improve knowledge of APA style citation.
DOI: 10.17632/jhxn4ycnkd.1
title: Data for: Methods for calculating walking distances

description: 384 examples of walking distances, as computed using the different methods discussed in the paper.
DOI: 10.17632/zrdvpfwcwx.1
title: Ranking of Environmental Heat Stressors for Dairy Cows Using Machine Learning Algorithms
DOI: 10.17632/wrkvzf567k.2
title: Early onset preeclampsia and eclampsia in low-resource settings

description: This was a retrospective cross-sectional study carried out at Mpilo Central Hospital a government teaching and tertiary referral centre. It covered the period from February 1, 2016 to July 30, 2018. The aim of the study was to assess the incidence of early-onset severe preeclampsia and eclampsia in a low-resource setting and associated factors. Early-onset severe preeclampsia was diagnosed in those patients with high blood pressure(SBP ≥160, DBP ≥110mmHg) and either severe headaches, epigastric pain and deranged biochemical/haematological blood indices. Eclampsia was diagnosed in women who had a grand mal seizure with features of preeclampsia and no previous history of a seizure disorder such as epilepsy. Women with such history were excluded from the study. All women who were between 20-33+6weeks' of gestation and met the above criteria were included in the study. Early neonatal death was recorded within 7 days of birth. A paper data collection tool was used to collect information from the labour ward delivery registers, perinatal registers and mortality registers. Data were also collected from neonatal intensive care unit and special care baby unit. Hospital case notes were retrieved and data collected from there as well. The data tool collected maternal, fetal and neonatal demographic, clinical and out-come information. Data were entered into Microsoft Excel Inc., then exported to SPSS 20 for analysis. Data cleaning and coding were done in SPSS Version 20 before final analysis. Simple descriptive statistics were performed and presented as frequencies and percentages for categorical variables. Continuous variables were checked for normality using Shapiro Wilk test. Mean and standard deviation(SD) were reported for normal data. Tests of association between variables were performed using Pearson chi-square and Fisher’s exact tests. A p value of &lt;0.05 was considered statistically significant. The incidence of early-onset severe preeclampsia and eclampsia at the unit was 1.0%. There was a statistically significant difference between place of dwelling and maternal complications, with urban dwellers suffering more complications. Tests of association were done between various variables and fetal survival to discharged home showed the following associations; gestational age, mother’s booking status, mother’s systolic blood pressure and diastolic blood pressure, receiving corticosteroid therapy and fetal birth weight.
DOI: 10.17632/3rn4z5dzwj.1
title: GSGPEs-v1.1: A MATLAB code for computing the ground state of systems of Gross–Pitaevskii equations

description: GSGPEs is a MATLAB/GNU Octave suite of programs for the computation of the ground state of systems of Gross–Pitaevskii equations. It can compute the ground state in the defocusing case, for any number of equations with harmonic or quasi-harmonic trapping potentials, in spatial dimension one, two or three. The computation is based on a spectral decomposition of the solution into Hermite functions and direct minimization of the energy functional through a Newton-like method with an approximate line-search strategy. This new version is due to a change in the function eig of Matlab® which requires a new way to compute Gauss–Hermite quadrature nodes and weights. The previous version of this program (AENT_v1_0) may be found at http://dx.doi.org/10.1016/j.cpc.2012.10.007.
DOI: 10.17632/kt8fz8mrt9.1
title: Measurement data from sample plots characterizing three development stages of a subalpine spruce forest and describing the bird assemblages associated with them

description: Data on the characteristics of tree stands as well as the birds inhabiting them in the breeding and nonbreeding seasons were collected from a subalpine spruce forest in the Gorce National Park (Western Carpathians, Poland). Stand measurements were conducted on a total of 24 sample plots, with 8 plots established in each of the three studied forest development stages (mature, break-up, and growing-up) selected to represent successive phases of subalpine forest development. The study area designated for each stage was 30 ha. The three study areas exhibited development properties resulting from both biotic and abiotic factors. Tree stands were characterized in terms of the tree layer, saplings, and deadwood. The types of deadwood measured were: standing entire dead trees, snags, stumps, and downed deadwood. In the case of birds, the data included species composition and pair density in the breeding season or individual bird density in the nonbreeding season
DOI: 10.17632/mvnwgvht9y.1
title: Data for: Four-decision tests for stochastic dominance, with an application to environmental psychophysics

description: Dataset used in the paper "Four-decision tests for stochastic dominance, with an application to environmental psychophysics" by Angel G. Angelov, Magnus Ekström, Bengt Kriström, & Mats E. Nilsson. The data are from an experiment where participants were asked about their willingness to pay for an improved residential sound environment (traffic noise reduction). Each participant was requested to answer by means of: (i) a self-selected point (SSP), i.e., the amount in Swedish kronor he/she would be willing to pay per month for the improvement, and (ii) a self-selected interval (SSI), i.e., the lowest and highest amounts he/she would be willing to pay. Description of the variables and some remarks are given in a separate file.
DOI: 10.17632/c535555vfy.1
title: Seasonal Thermal Energy Storage Systems (STESs) with solar collectors

description: These EXCEL file performs the numerical simulation of the annual evolution of an STES system (that is, the evolution of its temperature) based in a water tank. This STES is heated by using many vacuum-tube solar collectors, which are characterized by its efficiency function. This system is simulated working on a house's roof in Bariloche (an Argentinean location) or Okotoks (Canadian location), but similarly other locations could be simulated by using the right set of input parameters. In this numerical code, these locations (and the yield of production for solar collectors there) are characterized by their average monthly solar factors and ambient mean temperatures. The water tank it characterized by means of its diameter (always using square cylinders, that is, having height equals to diameter), and overall thermal transmission coefficient (K, W/(m2.°C)), which determines the quality of its thermal insulation. This thermal modeling is based on some hypothesis: 1) The ambient temperature surrounding the water tank is uniform. This is reasonable for above-ground tanks (and especially for small tanks) as here is considered. 2) The temperature inside the water tank is uniform. this is reasonable for small tanks, especially aboveground ones, as here is considered. This data is fully related to the work entitled: HEATING HOUSES BY USING VACUUM-TUBE SOLAR COLLECTORS AND A SMALL ABOVEGROUND WATER TANK: A COST-EFFECTIVE SOLUTION FOR MARITIME CLIMATES what is been published in the journal: ADVANCED IN BUILDING ENERGY RESEARCH, of the Taylor & Francis Group And the solely author of this work is: Luis E. Juanicó juanico@comahue-conicet.gob.ar Instituto Andino Patagónico en Tecnologías Biológicas y Geoambientales (IPATEC) CONICET and National University of Comahue, (8400) Bariloche, Argentina