cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7nnf495jbw.1
title: Canal water depth map dry season 2011 Central Kalimantan, Indonesia

description: Canal water depth map for the dry season of 2011 in Central Kalimantan at 100 m spatial resolution as published in Vernimmen et al. 2020: A new method for rapid measurement of canal water table depth using airborne LiDAR, with application to drained peatlands in Indonesia
DOI: 10.18716/nmrshiftdb2/76809
title: NMR data for 2-(4-aminobenzoyl)oxyethyl-diethylazanium
DOI: 10.17632/sy4y7y5xns.2
title: Disentangling evolutionary history and biogeography of hill partridges (Phasianidae, Arborophila) from low coverage shotgun sequences
DOI: 10.18716/nmrshiftdb2/76802
title: NMR data for 1-nitropyrazole
DOI: 10.5066/p9lqtt8d
title: Partitioning of six pyrethroid insecticides at varying salinities

description: To determine aqueous pyrethroid partitioning across a salinity gradient 20 mL Pyrex beakers were filled with 8 mL of deionized water at varying salinities (0, 0.5, 2, 6 ppt). Salinity was adjusted using a 10 ppt stock solution (made by diluting Instant Ocean into deionized water). The water samples were spiked with pyrethroids (bifenthrin, cyhalothrin, cyfluthrin, cypermethrin, deltamethrin, esfenvalerate, fenpropathrin) at 500 ng/L (pyrethroid stock solution was 0.25 ng/uL in acetone, 16 uL added to each beaker). Samples were equilibrated in the dark (beaker covered with aluminum foil and placed in a cardboard box; the first set was equilibrated for 24 hr, the second set for 120 hr). Each set of samples at a particular salinity and time were run in triplicate. An additional set of samples were run for 24 hr with the addition of 30 mg/L of suspended sediment. At the end of the specified time, the water was gently removed from the beaker with a pipette and run through a solid phase extraction (SPE) cartridge (Water Oasis HLB, 3 cc 60 mg) and eluted with ethyl acetate (3 mL) to determine the fraction of pyrethroids in the water. After the removal of the water, the beaker was then rinsed twice with 0.5 mL of dichloromethane (rinses were combined) and exchanged into ethyl acetate to give fraction associated with the beaker surface. Both the SPE eluent and beaker rinses were reduced to 50 uL in ethyl acetate and analyzed via gas chromatography-mass spectrometry (GC-MS). The fraction of pyrethroids in the aqueous phase increased with increasing salinity.
DOI: 10.17030/uclan.data.00000232
title: Dissociating Two Forms of Auditory Distraction in a Novel Stroop Serial Recall Experiment
DOI: 10.17632/2f7ybjh435.1
title: lidoc RCT

description: RAW datat
DOI: 10.17632/3c72y8p2tp.3
title: Dataset of Attitude towards Anti-Sexual Harassment

description: Dataset of Indonesia’s Gen Z This dataset becomes the basis of a psychological model contains predictive relationships between eight variables. The eight variables are (I) four predictors/independent variables, i.e. (1) Peer influence/PR, (2) Power distance-at the individual level/PD, (3) Masculinity-at the individual level/MS, (4) Sexual harassment knowledge/SK; (II) three mediators, i.e. (1) Moral disengagement/MD, (2) Belief on myths of sexual harassment/MY, (3) Identification with patriarchal culture/PT; and (III) one criterion/dependent variable, i.e. Attitude towards anti-sexual harassment/ASH. Province_Origins 1 = Nanggroe Aceh Darussalam, Sumatera Island, Indonesia 2 = East Java, Java Island, Indonesia Sex 1 = Male 2 = Female ASH = Attitude towards anti-sexual harassment Response options: from “Does not describe me very well” (scored 1) to “Describes me very well” (scored 6). PR = Peer influence Response options: from “Strongly disagree” (scored 1) to “Strongly agree” (scored 6). PD = Power distance-at the individual level Response options: from “Strongly disagree” (scored 1) to “Strongly agree” (scored 6). MS = Masculinity-at the individual level Response options: from “Strongly disagree” (scored 1) to “Strongly agree” (scored 6). SK = Sexual harassment knowledge Response options: “True” (scored 1) or “False” (scored 0). MD = Moral disengagement Response options: from “Strongly disagree” (scored 1) to “Strongly agree” (scored 6). MY = Belief on myths of sexual harassment Response options: from “Strongly disagree” (scored 1) to “Strongly agree” (scored 6). PT = Identification with patriarchal culture Response options: from “Strongly disagree” (scored 1) to “Strongly agree” (scored 6).
DOI: 10.17632/j9g4b55yr3.1
title: Soil seed bank and seed rain in the seasonally dry tropical forest

description: We used this data to examine to what extent these two primary seed sources –seed rain and seed bank– are contributing to the community assemblage, and how the dispersal phenology and dispersal syndrome can explain those contributions. We developed this study in a small-protected area of SDTF in Southwestern Ecuador. This area represents one of the last SDTF remnants below 100 m a.s.l. along the South America pacific coast. We considered this area might be useful as a reference site of “pristine forest” to guide restoration actions. These data were used to manuscript Jara-Guerrero et al. Dispersal syndrome influences the match between seed rain and soil seed bank of woody species in a Neotropical dry forest. Journal of Vegetation Science. Sampling of the seed rain Seed traps were used to sample the seed rain. Traps were made of a mesh fabric with holes &lt; 0.5 mm to allow water runoff while preventing seed loss. The fabric was placed on a square metal frame 80 cm long (0.64 m2) located 80 cm above the ground (Stevenson & Vargas 2008). We placed 265 traps in a regular grid in an area of 220 x 220 m of forest (4.8 ha), in the central part of the 9 ha plot. Sampling of the soil seed bank Soil seed bank was sampled once between November and December 2011, at the end of the dry season, when most seeds had been dispersed and before germination started in the rainy season. This sampling date corresponds with the moment in which the soil seed samples reach their maximum diversity and density, i.e., it includes both the transient and the persistent soil seed bank (Caballero et al., 2005; Espinosa et al., 2013). As in the case of the seed rain, 265 soil samples were collected in 0.25 x 0.25 x 0.03 m squares located adjacent to the seed traps, adding up to a total sampled area of 16.56 m2. Seed bank composition was assessed using the germination method, which allows estimating viable seeds in the soil (Bigwood & Inouye, 1988; Holzapfel et al., 1993; Caballero et al., 2008).
DOI: 10.17632/j3vcbpw5yx.1
title: Supplemental Material for Melanoma Incidence and Survival in Patients with Myelodysplastic Syndrome: A Matched Cohort Population-Based Study
DOI: 10.18716/nmrshiftdb2/76804
title: NMR data for 5-methylpyrazole-1-carboxamide
DOI: 10.17632/dfpvvz65f3.1
title: Supplementary Data_FSCAM_MaleFemaleComparison

description: A FUZZY SAFETY CULTURE ASSESSMENT MODEL (FSCAM); COMPARISON BETWEEN MALE AND FEMALE EMPLOYEES IN A METAL MANUFACTURING INSTALLATION IN TURKEY The dataset includes the fuzzy model, the safety culture questionnaire, 6561 rules, figures, safety culture survey spss file, mean value tables.
DOI: 10.17632/m34wyyprcx.1
title: lidoc RCT

description: RAW DATA
DOI: 10.25386/genetics.12202580.v2
title: Supplemental Material for Kankel et al., 2020

description: Modifiers of ALS phenotypes
DOI: 10.17632/b666453x86.1
title: DROP project. Dataset for the cost-effectiveness study of a collaborative care intervention for managing major depression and chronic musculoskeletal pain in primary care
DOI: 10.5281/zenodo.3776090
title: pboyden/Palm_Beach_XBeach v1.0

description: Supplementary Material to: "Hurricane Matthew in 2100: effects of extreme sea level rise scenarios on highly valued coastal areas."
DOI: 10.5281/zenodo.3776091
title: pboyden/Palm_Beach_XBeach v1.0

description: Supplementary Material to: "Hurricane Matthew in 2100: effects of extreme sea level rise scenarios on highly valued coastal areas."
DOI: 10.18716/nmrshiftdb2/76803
title: NMR data for 5-amino-N,3-diphenylpyrazole-1-carboxamide
DOI: 10.18716/nmrshiftdb2/76806
title: NMR data for [5-[5-(hydroxymethyl)furan-2-yl]furan-2-yl]methanol
DOI: 10.17632/tggrsbz3bb.7
title: Dataset for country profile and mobility analysis in the assessment of COVID19 pandemic

description: There is a multitude of dimensions that must be taken into consideration to analyze the COVID19 pandemic in the world. With this in mind, this dataset consists of variables related to sociodemographic characteristics compiled from UN Data, mobility metrics that can assist the analysis of social distancing from Google Community Mobility Reports, and daily counts of cases and deaths by COVID19 from the European Centre for Disease Prevention and Control. By merging and preprocessing these datasets, plus some feature engineering, we are able to provide a single dataset with time-series data from February 15, 2020 to April 17, 2020, with a total of 63 days, 131 countries and 193 variables.
DOI: 10.17632/tggrsbz3bb.8
title: Dataset for country profile and mobility analysis in the assessment of COVID19 pandemic

description: Understanding the COVID-19 pandemic is a multidisciplinary effort that requires a significant number of variables. This dataset comprises sociodemographic characteristics compiled from 35 datasets obtained at UN Data [1], mobility metrics that can assist the analysis of social distancing from Google Community Mobility Reports [2], and daily counts of cases and deaths by COVID-19 from the European Centre for Disease Prevention and Control and John Hopkins University [3,4]. This unified dataset ranges from February 15, 2020 to April 17, 2020, a total of 63 days, and is provided as a collection of time series for 131 countries with 193 variables. The whole pipeline to preprocess and generate the dataset, along with the dataset itself, is versioned with the Data Version Control tool (DVC) and thus it is easily reproducible.
DOI: 10.17632/tggrsbz3bb.9
title: Dataset for country profile and mobility analysis in the assessment of COVID19 pandemic

description: Understanding the COVID-19 pandemic is a multidisciplinary effort that requires a significant number of variables. This dataset comprises sociodemographic characteristics compiled from 35 datasets obtained at UN Data [1], mobility metrics that can assist the analysis of social distancing from Google Community Mobility Reports [2], and daily counts of cases and deaths by COVID-19 from the European Centre for Disease Prevention and Control, and the Johns Hopkins University Center for Systems Science and Engineering [3,4]. This unified dataset ranges from February 15, 2020 to April 17, 2020, a total of 63 days, and is provided as a collection of time series for 131 countries with 192 variables. The whole pipeline to preprocess and generate the dataset, along with the dataset itself, is versioned with the Data Version Control tool (DVC) and thus it is easily reproducible.
DOI: 10.17632/vht24j3h5k.1
title: Microplastic distribution in surface sediments along the Spanish Mediterranean continental shelf

description: Microplastics (MPs) are widely recognised as a contaminant of emerging concern in the marine environment. This work provides original data of the presence of MPs in coastal sediments along the Spanish Mediterranean continental shelf. Ten surface sediment samples were collected in order to document baseline microplastic distribution from Algeciras to Barcelona. Microplastics were extracted from bulk sediments by density separation. The number of microplastics per kilogramme of dry weight ranged from 45.9±23.9 MPs/kgd.w. observed at Palma de Mallorca to 280.3±164.9 MPs/kgd.w. noted at Málaga, with an average value of 113.2±88.9 MPs/kgd.w. The lower limit is defined by the pore filter size used (1.2μm). For all analysed locations, the dominant microplastic type was fibres (82.9%), followed by fragments, and the main colours were transparent and blue. Microplastic size distribution was presented; in the case of fragments, 85% was lower than 0.5 mm, and in the case of fibres, the three studied intervals (0.5–1, 1–2, 2–5 mm) had similar distribution (35, 34 and 31%, respectively). Attending to all available data, no statistically significant relationship (Spearman’s correlation) was found between microplastic average size and distance to the coast, the depth, density population and sediment grain size. Neither relationship was observed between these variables and microplastic concentration using the non-parametric Kruskal-Wallis H test. This study has confirmed the widespread distribution of MPs in surface sediments from the Spanish Mediterranean continental shelf, and these data are useful to define baselines for MPs in the Western Mediterranean region.
DOI: 10.17632/wkf9hrj364.1
title: Supplementary Data and Table for A Detailed Analysis of the Distribution, Morphology, and Histopathology of Complex Purpura in Hospitalized Patients: A Case Series of 68 Patients

description: We reviewed a case series of 68 inpatients over a four-year period with a dermatologic consultation for purpura and biopsy findings of vasculitis or microvascular occlusion. Key features of complex purpura are non-branching vs. branching (retiform) morphology, dependent vs. acral/generalized distribution, and leukocytoclastic vasculitis (LCV) vs. microvascular occlusion (with emphasis on depth of involvement). Dependent non-branching purpura with only superficial vessels involved by LCV was most often due to IgA vasculitis or cutaneous single-organ small vessel vasculitis. In contrast, deeper involvement by LCV was suggestive of systemic disease (e.g. ANCA-associated vasculitis). Branching purpura was concerning, with greater than 90% sensitivity and specificity for microvascular occlusion and associated high mortality (~50%). The majority of patients who died had acral branching lesions.
DOI: 10.18716/nmrshiftdb2/76814
title: NMR data for (E)-2-ethenylbut-2-en-1-ol
DOI: 10.18716/nmrshiftdb2/76800
title: NMR data for 1-(benzenesulfonyl)-4-bromo-3,5-dimethylpyrazole
DOI: 10.3886/e119181
title: High school science teachers’ engagement on Twitter: Analysis file and codebook

description: The files in this project include the analysis file and codebook for the article entitled “New contexts for professional learning: Analyzing high school science teachers’ engagement on Twitter” published in AERA Open (Fischer, Fishman, & Schoenebeck, 2019). The abstract of this article is below:<br> <br>This mixed-methods observational study analyzes Advanced Placement (AP) Biology teachers’ engagement in microblogging for professional learning. Data from three hashtag-based Twitter communities—#apbiochat, #apbioleaderacad, and #apbioleaderacademy (121 users; 2,253 tweets)—are analyzed using educational data mining, qualitative two-cycle content analysis, social network analysis, linear and logistic regression analyses, and hierarchical linear modeling. Results indicate that teachers’ use of Twitter reflects aspects of high-quality professional development. Notably, Twitter’s nonhierarchical organization affords shared content creation and distribution. Additionally, Twitter allows for different temporal participation patterns and supports the personalization of learning experiences aligned to teachers’ needs and preferences. Furthermore, teachers frame their interactions on Twitter positively—thus, creating a supportive environment for professional learning that might reduce perceived professional isolation. Based on this analysis, policymakers and school leaders should feel comfortable encouraging teachers to use microblogging as part of their professional learning activities. <br> <br> References<br> Fischer, C., Fishman, B., & Schoenebeck, S. (2019). New contexts for professional learning: Analyzing high school science teachers’ engagement on Twitter. AERA Open, 5(4), 1-20. https://doi.org/10.1177/2332858419894252<br>
DOI: 10.3886/e119181v1
title: High school science teachers’ engagement on Twitter: Analysis file and codebook

description: The files in this project include the analysis file and codebook for the article entitled “New contexts for professional learning: Analyzing high school science teachers’ engagement on Twitter” published in AERA Open (Fischer, Fishman, & Schoenebeck, 2019). The abstract of this article is below:<br> <br>This mixed-methods observational study analyzes Advanced Placement (AP) Biology teachers’ engagement in microblogging for professional learning. Data from three hashtag-based Twitter communities—#apbiochat, #apbioleaderacad, and #apbioleaderacademy (121 users; 2,253 tweets)—are analyzed using educational data mining, qualitative two-cycle content analysis, social network analysis, linear and logistic regression analyses, and hierarchical linear modeling. Results indicate that teachers’ use of Twitter reflects aspects of high-quality professional development. Notably, Twitter’s nonhierarchical organization affords shared content creation and distribution. Additionally, Twitter allows for different temporal participation patterns and supports the personalization of learning experiences aligned to teachers’ needs and preferences. Furthermore, teachers frame their interactions on Twitter positively—thus, creating a supportive environment for professional learning that might reduce perceived professional isolation. Based on this analysis, policymakers and school leaders should feel comfortable encouraging teachers to use microblogging as part of their professional learning activities. <br> <br> References<br> Fischer, C., Fishman, B., & Schoenebeck, S. (2019). New contexts for professional learning: Analyzing high school science teachers’ engagement on Twitter. AERA Open, 5(4), 1-20. https://doi.org/10.1177/2332858419894252<br>
DOI: 10.17632/x97t3s3kfk.2
title: Long-term measurements of NMHCs in Shanghai DATA

description: Long-term measurements (2009–2015) of non-methane hydrocarbons (NMHCs) in Shanghai
DOI: 10.17632/x97t3s3kfk.3
title: Long-term measurements of NMHCs in Shanghai DATA

description: Long-term measurements (2009–2015) of non-methane hydrocarbons (NMHCs) in Shanghai
DOI: 10.17632/zfndmn3f55.2
title: Dataset for the model of municipality competitiveness in relation to the geothermal resources exploitation in Poland.

description: This dataset presents the raw data to generate a local competitiveness index in reference with the article: “The impact of geothermal resources on the competitiveness of municipalities: evidence from Poland” (https://doi.org/10.1016/j.renene.2019.11.126). The competitiveness indexes for a selection of 63 municipalities are developed by the Analytical Hierarchy Process (AHP). Thereafter, the aggregated indexes values are used for statistical procedures in the related research article that describes the relation between geothermal resources utilisation and the obtained local competitiveness index.
DOI: 10.15468/nr255f
title: On some Myllaena species in the East Mediterranean and Caucasus regions (Coleoptera: Staphylinidae: Aleocharinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Assing, Volker (2018): On some Myllaena species in the East Mediterranean and Caucasus regions (Coleoptera: Staphylinidae: Aleocharinae). Linzer biologische Beiträge 50 (2): 1015-1032, DOI: http://doi.org/10.5281/zenodo.3776222
DOI: 10.5281/zenodo.3776173
title: Linked COVID-19 Data: Robert Koch-Institut (RKI)

description: Linked COVID-19 Data derived from <strong>Robert Koch Institute</strong> using the COVID-19 Ontology 10.5281/zenodo.3757828 developed for the Linked COVID-19 Data Dashboard: http://covid19data.link This files include data for covid19_rki*.ttl - single COVID-19 cases per day, collected by the RKI https://www.arcgis.com/home/item.html?id=dd4580c810204019a7b8eb3e0b329dd6 "confirmed" is calcaulated by the column "Refdatum" covid19_rki_ger.ttl - COVID-19 cases per day for Germany, collected by the RKI covid19_rki_ger_cum.ttl - COVID-19 cases accumulated per day for Germany, collected by the RKI covid19_rki_fs.ttl - COVID-19 cases per day for the federal states in Germany, collected by the RKI covid19_rki_fs_cum.ttl - COVID-19 cases accumulated per day for the federal states in Germany, collected by the RKI This RDF files are based on the NPGEO Corona Hub 2020 https://opendata.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0.geojson https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0/data
DOI: 10.17632/3xsb9nyfhp.1
title: NigeriaCOVID-19

description: The Coronavirus disease COVID-19 at this point of writing is a pandemic that has rampaged planet earth. It is regarded as a global threat and in some quarters an existential threat. Every possible effort should be made in the application of mathematical models, artificial intelligence, big data, and other resources to stem the spread of this disease. In this dataset, the daily total number of COVID-19 cases in Nigeria from February 27, 2020, to April 5, 2020, were automatically mined every 24 hours from the official websites of NCDC and Wikipedia. The initial data is in raw Excel file format nigeria_covid19.csv. Data with regularly updated case numbers and prediction results from an ensemble of forecasting algorithms can be found in nigeria_covid19_updated.csv. These data are useful as they present facts that drive analytics on COVID-19 cases in Nigeria. It also represents an early reference that can be used in the future. Academic institutions, public health agencies, scientific communities, researchers, students, and self-explorers can use this data to explore, analyze, and develop reliable insights on COVID-19 cases in Nigeria and beyond. The data with regular updates presented can be applied to drive analytics, policy development, and decision making in other countries where data is scarce.
DOI: 10.18716/nmrshiftdb2/76799
title: NMR data for 2-(benzenesulfonyl)-4-bromopyrazole-3-carboxylic acid
DOI: 10.17632/9tt3mctnd6.1
title: Redistributive effects of different pension systems when longevity varies by socioeconomic status

description: The supplementary material includes the following files used to generate the data in the paper "Redistributive effects of different pension systems when longevity varies by socioeconomic status": mat -&gt; “Data.mat” This file contains mortality data for the cohort born in 1930 and in 1960 ipnyb -&gt; 2 Julia 1.3 files that contain the programs of the models with and without behavioral reactions jld -&gt; 24 files that includes the combination of 6 pension systems (DBI, DBII, DBIII, NDCI, NDCII, NDCIII), 2 cohorts (“1930”, “1960”), 2 scenarios with and without behavioral reactions (“ ”,”NoBeh”) All files with extension “jld” (Julia programming) contains for each pension system, cohort, and scenario information by income quintile on "CM" =&gt; Consumption profiles "ppM" =&gt; Pension points profiles "AM" =&gt; Financial wealth "PVB" =&gt; Present value of benefits "RcV" =&gt; Retirement ages "MgfRV" =&gt; Marginal replacement rates "HK" =&gt; Human capital "τEM" =&gt; Effective social security tax rate "SSW" =&gt; Social security wealth "bM" =&gt; Benefits "IRR" =&gt; Internal rates of return "yM" =&gt; Labor income "fRV" =&gt; Replacement rate "ϕD" =&gt; Point factor "λ0V" =&gt; Shadow price of wealth "RV" =&gt; Retirement age "τD" =&gt; Social security contribution rate "ExpV" =&gt; Expected utility "P̄M" =&gt; Relative value of investing a dollar in the pension system "LM" =&gt; Labor supply "SV" =&gt; Length of education
DOI: 10.17632/r3jpmcpvy5.1
title: Transpressive deformation in the Southern European Variscan Belt: new insights from the Aiguilles Rouges Massif (Western Alps) -DATASET-

description: Dataset for the paper: "Transpressive deformation in the Southern European Variscan Belt: new insights from the Aiguilles Rouges Massif (Western Alps)" by Simonetti et al. published on Tectonics
DOI: 10.17632/sp3dvhr8y3.1
title: Data for: A comprehensive skills catalogue for the raw materials sector and the structure of raw materials education worldwide

description: Survey data on the structure of raw materials education worldwide. Asking for skills, knowledge, topics, languages, countries, institutions. almost 200 answers.