cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/82yjr4rvsm.1
title: Dataset: geographical location of areas occurring Peltogyne gracilipes (Leguminosae) individuals in ecotone forests, State of Roraima, northern Brazilian Amazon

description: The dataset provides information on points of occurrence of Peltogyne gracilipes (a endemic tree species; Leguminosae) in an area of ~ 450,000 ha, with the geographic center of Maracá Island and its surroundings, State of Roraima, northern Brazilian Amazon (https://data.mendeley.com/datasets/2j354jtddx/2; https://data.mendeley.com/datasets/ctv52cbkp8/2). The points of occurrence of P. gracilipes (135 points) were collected with GPS, indicating the areas of presence / absence of the species. Fieldworks were carried out in the eastern and central areas of Maracá Island (12/14/2018 and 27-28/02/2019), and close to the Vila Trairão (12/17/2018) and Vila Paredão (28 / 01/2019). All of them are natural forest areas where P. gracilipes occurs. The dataset consists of four files: (i) study_site - a figure indicating the location of the study area; (ii) occurrence_p-gracilipes_maracá - geographic location (lat / long - WGS84 - UTM - 20N) of the points of occurrence of P. gracilipes on Maracá Island; (iii) occurrence_p-gracilipes_paredão - geographical location (lat / long - WGS84 - UTM - 20N) of the points of occurrence of P. gracilipes in Vila Paredão; (iv) occurrence_p-gracilipes_trairão - geographical location (lat / long - WGS84 - UTM - 20N) of the points of occurrence of P. gracilipes in Vila Trairão. The current dataset was supported by the projects (i) SavFloRR - Ecologia e manejo dos recursos naturais de ecossistemas de savanas e florestas de Roraima (PPI INPA 015/122), and (ii) Crescimento e mortalidade de árvores em florestas ecotonais de Roraima: efeito das condicionantes ambientais e da variabilidade climática (Proc. CNPq n. 403591 / 2016-3). The Coordination for the Improvement of Higher Education Personnel (CAPES) supported E.H.S. The PELD Program provide a scholarship to W.R.S. (CNPq / CAPES / FAPs / BC-Fundo Newton; Proc. N. 441575 / 2016-1). The National Council for Scientific and Technological Development (CNPq) provided a grant to R.I. Barbosa (CNPq 304204 / 2015-3). The Chico Mendes Institute for Biodiversity Conservation (ICMBio) authorized the study (SISBIO nº 52071).
DOI: 10.17632/gwwk2jnr82.1
title: The configuration of RPA, RAD51 and DMC1 binding in meiosis reveals the nature of critical recombination intermediates

description: Here are the original imaging data related to Figure3 and FigureS3 in the paper.
DOI: 10.17632/jr732j69wt.1
title: Data for: Characterization of stilbene's scintillation anisotropy for neutrons between 0.56 and 10 MeV

description: Measured and smoothed light output and pulse shape parameter anisotropy for recoil proton energies between 0.56 and 10 MeV. Contents: - measured data: directory with measured light output and pulse shape parameter data - smoothed data: directory with smoothed light output and pulse shape parameter data - view_data.py: python script for viewing data - README.md
DOI: 10.17632/wx53pr8hvf.1
title: Data, programs and instructions to replicate “Price gaps at the border: evidence from multi-country household scanner data” (2020).

description: Data, programs and instructions to replicate “Price gaps at the border: evidence from multi-country household scanner data” (2020) by Guenter W. Beck, Hans-Helmut Kotz and Natalia Zabelina.
DOI: 10.17632/bjk28p78mx.1
title: ACADEMIC PROCRASTINATION FREQUENCY DATA OF STUDENTS AT MAKASSAR, INDONESIA

description: This data was obtained from an assessment using an academic procrastination scale towards 586 students in the XIII semester at Makassar, Indonesia. Students respond to statements with a Likert-scale of 5,4,3,2,1, which represents strongly agree, agree, doubt, disagree, and strongly disagree, respectively
DOI: 10.17632/bhzccxfy9c.1
title: Assessment of the exposure to Echinococcus multilocularis associated with carnivore faeces using qPCR and flotation technique assays

description: Geographical coordinates, host species identity and Echinococcus mutilocularis data of carnivore faeces collected in a rural town and its surroundings in the Eastern part of France (006°26’46”E, 46°56’53”N). Kulldorff statistics on the spatial distribution of Echinococcus multilocularis via carnivore faeces.
DOI: 10.17632/b49my4w3rf.1
title: Data for: Passive Intervertebral Motion Characteristics in Chronic Mid to Low Back Pain: a Multivariate Analysis
DOI: 10.17632/kvpw6bsf7b.1
title: Improving oral healthcare using academic detailing – reproducibility and scalability of the ADVOCATE Field Studies approach - Raw data

description: Transcripts of focus group interviews from ADVOCATE Field Studies - Proof-of-principle phase
DOI: 10.17632/sf4tcsyhk3.1
title: Hirschsprung Disease - Quality of life

description: Quality of life (Peds QoL 4.0 Generic Core Score), Family Functioning Scores (Family Impact Module 2.0) and Rintala score of a cohort of Hirschsprung disease patients operated in our institute during the period of 2010 - 2017 Data includes age at follow up, severity of disease, current bowel management program.
DOI: 10.17632/dmdyd72mhy.1
title: Double Row Facility Layout Problem - 18 Instances with n in {11,12,13}

description: These are eighteen DRFLP instances with n in {11,12,13}. The instances 12a,12b,13a,13b were introduced in: André R.S. Amaral (2012) The corridor allocation problem, Computers & Operations Research, 39:12, 3325-3330, https://doi.org/10.1016/j.cor.2012.04.016. The remaining instances were introduced in: André R.S. Amaral (2019) A mixed-integer programming formulation for the double row layout of machines in manufacturing systems, International Journal of Production Research, 57:1, 34-47, DOI: 10.1080/00207543.2018.1457811
DOI: 10.17632/p3yzfx684s.4
title: Data feasibility of Tempe lake potential as learning source environment biology: study analysis free-service teacher biology South Sulawesi Indonesia

description: Exploratory study and survey aimed at determining Lake Tempe's feasibility as a source of learning on Environmental Biology (EB) courses. Data from the results of exploratory research and observation of the potential of Lake Tempe were obtained on-site. The data are in the form of 1) physicochemical water parameters (temperature, pH, dissolved oxygen (DO), total suspended solids (TSS)) were measured at the site in three stations; 2) community activities that can pollute Lake Tempe; 3) identification of aquatic plants. The data is adapted to the learning material for environmental biology based on the achievement of the course. The survey data on the feasibility of Lake Tempe as a learning source were obtained from the results of the questionnaire responses after examination and observation of the potential contained in Lake Tempe.
DOI: 10.17632/p3yzfx684s.3
title: Data feasibility of Tempe lake potential as learning source environment biology: study analysis free-service teacher biology South Sulawesi Indonesia

description: Exploratory study and survey aimed at determining Lake Tempe's feasibility as a source of learning on Environmental Biology (EB) courses. Data from the results of exploratory research and observation of the potential of Lake Tempe were obtained on-site. The data are in the form of 1) physicochemical water parameters (temperature, pH, dissolved oxygen (DO), total suspended solids (TSS)) were measured at the site in three stations; 2) community activities that can pollute Lake Tempe; 3) identification of aquatic plants. The data is adapted to the learning material for environmental biology based on the achievement of the course. The survey data on the feasibility of Lake Tempe as a learning source were obtained from the results of the questionnaire responses after examination and observation of the potential contained in Lake Tempe.
DOI: 10.17632/4hgdz8685w.2
title: Daily and monthly atmospheric variables and water salinity measurements at the Pichavaram mangrove and Kaziranga National Park in India
DOI: 10.17632/jdr7yj39d2.1
title: Geoelectric interpretation of petrophysical and hydrogeological parameters in reclaimed mine tailings areas: Dataset and supplementary material

description: Dataset and supplementary material for research article "Geoelectric interpretation of petrophysical and hydrogeological parameters in reclaimed mine tailings areas"
DOI: 10.17632/bmx6zsjxy8.1
title: Eucalyptus Obliqua and Eucalyptus Delegatensis Occurances Tasmania (ALA Cleaned)

description: Occurrence points of Eucalyptus obliqua and Eucalyptus delegatensis in Tasmania from the Atlas of Living Australia (ALA) at March 2019, cleaned to remove suspected erroneous data and preserved specimens.
DOI: 10.17632/ph7tf2y7k3.3
title: Huijing Wang's Data

description: These are supplementary materials for "Characteristics, treatments, and outcomes of Chinese Patients with Giant Congenital Melanocytic Nevus: A Retrospective Cohort Study".
DOI: 10.17632/rb64282x5p.1
title: WAXD and SAXS of melt-spun PCL filaments

description: WAXD and SAXS patterns of poly(ɛ-caprolactone) (PCL) monofilaments were recorded on a Bruker Nanostar U diffractometer (Bruker AXS, Karlsruhe, Germany) with a Cu-Kα radiation λ = 1.5419 Å and a VÅNTEC-2000 MikroGap area detector.
DOI: 10.17632/gfcyx5s2tr.1
title: Argumentative structure of scientific abstracts - V0.1

description: In order to explore the possibility of leveraging discourse information for the identiffication of argumentative components and relations we add a new annotation layer to a subset of the Discourse Dependency TreeBank for Scientiffic Abstracts (SciDTB). [1] We introduce a ffine-grained annotation schema aimed at capturing information that accounts for the specifficities of the scientiffic discourse, including the type of evidence that is offered to support a statement (e.g., background information, experimental data or interpretation of results). [1] Yang, A., Li, S.: SciDTB: Discourse dependency TreeBank for scientiffc abstracts. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018) (Volume 2: Short Papers). pp. 444{449. Association for Computational Linguistics, Melbourne, Australia (Jul 2018)
DOI: 10.17632/7sjcn229cw.1
title: Regional characterization of the dynamic mechanical properties of human brain tissue by microindentation

description: Latest update: 30/06/2020 Content of the Supplementary material of the article: "Regional characterization of the dynamic mechanical properties of human brain tissue by microindentation" A. Menichetti, D.B. MacManus, M.D. Gilchrist, B. Depreitere, J. Vander Sloten, N. Famaey 1) Menichetti_et_al_2020_Parameters_StatisticsTables.pdf This file contains the pairwise comparison matrixes between the 12 regions in terms of: relaxation shear modulus µ_infinity (Table Extra-1), relaxation function g_1 (Table Extra-2), relaxation function g_2 (Table Extra-3), time constant tau_1 (Table Extra-4), time constant tau_2 (Table Extra-5). 2) F_t_curves.mat This file contains a structure array (generated in Matlab) organised as follows: 1st level: Numbers of brain specimens 2nd level: Labels of the tested regions: basal ganglia (BG), cerebellum (CB), corpus callosum (CC), corona radiata (CR), prefrontal cortex (PFCx), medulla oblongata (MO), posterior occipital cortex (OCx), superior mid-frontal cortex (MFCx), postero-superior frontal cortex (SFCx), pons (PO), inferior temporal cortex (TCx), postero-lateral frontal cortex (LFCx). 3rd level: Each column reports the data points of the Force (expressed in µN) measured during a Force-relaxation test. The force values were measured with a sampling rate of 10 kHz.
DOI: 10.7910/dvn/ukgrvj/ktzt5b
title: Muriuki_Kilifi_Kenya_MR_manuscript_do_file.do

description: Analysis do file (STATA)
DOI: 10.7910/dvn/ukgrvj/2txedi
title: Kilifi_Kenya_MR_data.tab

description: Analysis dataset
DOI: 10.7910/dvn/ukgrvj/v5c91h
title: hepcidin_severe_malaria.tab

description: Analysis dataset
DOI: 10.7910/dvn/ukgrvj/vqz1xt
title: meta-id.tab

description: :unav
DOI: 10.7910/dvn/ukgrvj/e3hlc4
title: Muriuki_Kilifi_Kenya_MR_data_Readme.txt

description: :unav
DOI: 10.7910/dvn/ukgrvj/mhxqmo
title: Muriuki_MR_data_Readme.txt

description: :unav
DOI: 10.17632/wys5xd2vfg.1
title: SALIVARY METABOLOMIC AND PSYCHOLOGICAL DATA OF TEMPOROMANDIBULAR DISORDERS

description: RAW DATA from a pilot study of Untargeted 1H-NMR-based metabolomic of saliva comparing women with Temporomandibular Disorders before and after a conservative treatment with normal ones. It was also provided data of some instruments that can show differences that allow the separation between the groups like Visual analogic scale for pain (VAS), Hospital Anxiety and Depression index (HAD), Oral Health Impact Profile-14 (OHIP-14)and Pain Catastrophizing Scale (PCS) from the examination of the control group (CG), the experimental group before treatment (EG -pre), and experimental group at the end of treatment (EG-post).
DOI: 10.17632/45f952y38r.2
title: KU-HAR: An Open Dataset for Human Activity Recognition

description: Human Activity Recognition dataset. Details will be added very soon.
DOI: 10.17632/cbgkpyxvjz.1
title: Data supporting the remote sensing of winter cover crops in Maryland

description: This dataset supports the article "Using NASA earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed" in Remote Sensing of Environment (Thieme et al., 2020). Sampling data: The dataset includes field sampling data (1298 samples) of winter cover crops (WCC) on farms enrolled in the Maryland WCC cost-share program, collected in the winter and spring of each year from 2006 through 2013. Species sampled include wheat, barley and rye. Aboveground biomass (711 samples) was determined using 0.5m2 quadrats. Percent vegetative ground cover (587 samples) was determined for each sample based on nadir RGB photo analysis. Samples were collected in December and April of each year, three locations per field, ~10 fields per species of rye, barley, and wheat, = ~90 samples per season. The data were collected by U.S. Geological Survey and USDA-Agricultural Research Service, in collaboration with the Maryland Department of Agriculture (MDA), Maryland Association of Soil Conservation Districts, and the many farmers who allowed us access to their fields. Further detail on sampling methods is provided in Thieme et al (2020). Performance data: The dataset also includes satellite-derived performance measures and agronomic management information for all fields enrolled in the Maryland Department of Agriculture wintercover crop cost-share program, covering four counties (Queen Anne's, Somerset, Talbot, and Washington, Maryland, USA), for three years (2015, 2016, 2018). Agronomic management for each field includes cover crop species, previous crop species, planting date, and planting method. Performance data for each field include winter and springtime satellite-derived values for the normalized difference vegetation index (NDVI) and performance measures (biomass, percent ground cover) calculated from the NDVI. Further detail on methods used to derive NDVI values from harmonized Landsat-Sentinel surface reflectance imagery is provided in Thieme et al (2020). The agronomic enrollment data were provided by the Maryland Department of Agriculture. The precise geospatial locations of the fields are privacy protected, and therefore the data records are only identified by county. contact: W. Dean Hively, U.S. Geological Survey, whively@usgs.gov
DOI: 10.17632/cbgkpyxvjz.2
title: Data supporting the remote sensing of winter cover crops in Maryland

description: This dataset supports the article "Using NASA earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed" in Remote Sensing of Environment (Thieme et al., 2020). Sampling data: The dataset includes field sampling data (1298 samples) of winter cover crops (WCC) on farms enrolled in the Maryland WCC cost-share program, collected in the winter and spring of each year from 2006 through 2013. Species sampled include wheat, barley and rye. Aboveground biomass (711 samples) was determined using 0.5m2 quadrats. Percent vegetative ground cover (587 samples) was determined for each sample based on nadir RGB photo analysis. Samples were collected in December and April of each year, three locations per field, ~10 fields per species of rye, barley, and wheat, = ~90 samples per season. The data were collected by U.S. Geological Survey and USDA-Agricultural Research Service, in collaboration with the Maryland Department of Agriculture (MDA), Maryland Association of Soil Conservation Districts, and the many farmers who allowed us access to their fields. Further detail on sampling methods is provided in Thieme et al (2020). Performance data: The dataset also includes satellite-derived performance measures and agronomic management information for all fields enrolled in the Maryland Department of Agriculture wintercover crop cost-share program, covering four counties (Queen Anne's, Somerset, Talbot, and Washington, Maryland, USA), for three years (2015, 2016, 2018). Agronomic management for each field includes cover crop species, previous crop species, planting date, and planting method. Performance data for each field include winter and springtime satellite-derived values for the normalized difference vegetation index (NDVI) and performance measures (biomass, percent ground cover) calculated from the NDVI. Further detail on methods used to derive NDVI values from harmonized Landsat-Sentinel surface reflectance imagery is provided in Thieme et al (2020). The agronomic enrollment data were provided by the Maryland Department of Agriculture. The precise geospatial locations of the fields are privacy protected, and therefore the data records are only identified by county. contact: W. Dean Hively, U.S. Geological Survey, whively@usgs.gov
DOI: 10.17632/gz3xbdfvmy.3
title: Multiscale calculation data of Kevlar fiber drawing behavior

description: Multiscale calculation data of Kevlar fiber drawing behavior
DOI: 10.17632/gz3xbdfvmy.4
title: Multiscale calculation data of Kevlar fiber drawing behavior

description: Multiscale calculation data of Kevlar fiber drawing behavior
DOI: 10.17632/cbgkpyxvjz.3
title: Data supporting the remote sensing of winter cover crops in Maryland

description: This dataset supports the article "Using NASA earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed" in Remote Sensing of Environment (Thieme et al., 2020). Sampling data: The dataset includes field sampling data (1298 samples) of winter cover crops (WCC) on farms enrolled in the Maryland WCC cost-share program, collected in the winter and spring of each year from 2006 through 2013. Species sampled include wheat, barley and rye. Aboveground biomass (711 samples) was determined using 0.5m2 quadrats. Percent vegetative ground cover (587 samples) was determined for each sample based on nadir RGB photo analysis. Samples were collected in December and April of each year, three locations per field, ~10 fields per species of rye, barley, and wheat, = ~90 samples per season. The data were collected by U.S. Geological Survey and USDA-Agricultural Research Service, in collaboration with the Maryland Department of Agriculture (MDA), Maryland Association of Soil Conservation Districts, and the many farmers who allowed us access to their fields. Further detail on sampling methods is provided in Thieme et al (2020). Performance data: The dataset also includes satellite-derived performance measures and agronomic management information for all fields enrolled in the Maryland Department of Agriculture wintercover crop cost-share program, covering four counties (Queen Anne's, Somerset, Talbot, and Washington, Maryland, USA), for three years (2015, 2016, 2018). Agronomic management for each field includes cover crop species, previous crop species, planting date, and planting method. Performance data for each field include winter and springtime satellite-derived values for the normalized difference vegetation index (NDVI) and performance measures (biomass, percent ground cover) calculated from the NDVI. Further detail on methods used to derive NDVI values from harmonized Landsat-Sentinel surface reflectance imagery is provided in Thieme et al (2020). The agronomic enrollment data were provided by the Maryland Department of Agriculture. The precise geospatial locations of the fields are privacy protected, and therefore the data records are only identified by county. contact: W. Dean Hively, U.S. Geological Survey, whively@usgs.gov
DOI: 10.17632/bhgtnw5bg4.1
title: Predictors of dual antiplatelet therapy related bleeding complications in elderly patients after coronary stenting: a multi-center retrospective observation

description: Objective: To study the independent predictors of major bleeding events and assess the performance of PRECISE-DAPT score in the elderly patients 75 years with one-year dual antiplatelet therapy (DAPT) after percutaneous coronary intervention (PCI). Methods: A total of 940 coronary artery disease (CAD) patients of age 75 years receiving one-year DAPT following PCI were retrospectively enrolled in the study. The main outcome was the incidence of bleeding complications within one year after discharge. Multivariate logistic regression analysis was conducted to investigate independent predictors of antiplatelet-related bleeding complications. Receiver operating characteristic (ROC) curve analysis was performed to obtain the optimized PRECISE-DAPT score in elderly patients after PCI. Results: A total of 89 (9.47%) patients suffered from bleeding complications among 940 patients. Of which, 37 (3.94%) had BARC 2 and 52 (5.53%) had BARC &lt;2 type bleeding events. We stratified PRECISE-DAPT score in tertiles (T1: &lt;24; T2: 24 to 32; T3: &gt;32) and found that major bleeding (defined as BARC 2 type) occurred more frequently in T3 than T1 and T2 (8.25% vs. 1.46% vs. 2.40%, P&lt;0.05). The ROC analysis revealed that the cut-off value of PRECISE-DAPT score for major bleeding prediction was 33. Multivariate logistic regression analysis demonstrated that PRECISE-DAPT score 32 (OR: 3.373; 95%CI (1.093, 10.41); P=0.035) was associated with major bleeding, together with previous hemorrhagic stroke (OR: 6.678; 95%CI (1.356, 32.893); P=0.02), previous peptic ulcer (OR: 4.512; 95%CI (1.582, 12.864); P=0.005), previous MI (OR: 3.179; 95%CI (1.147, 8.809); P=0.026) and low serum albumin (OR: 2.357; 95%CI (1.030, 5.394); P=0.042). Conclusions: PRECISE-DAPT score was an efficient system to predict major bleeding in patients 75 years. However, higher cut-off score of 33 might be a more rational approach for predicting major bleeding risk in these patients. In addition, history of hemorrhagic stroke, peptic ulcer, myocardial infarction, as well as malnutrition, were strong predictors for major bleeding events in patients 75years.
DOI: 10.17632/6gycw7vrww.1
title: Flood2Topo dataset

description: This data set contains the topography maps and water leve-area-active storage relationships of ​​12 Brazilian reservoirs and 2 natural lakes estimated by Flood2Topo. Fassoni‐Andrade, A. C., Paiva, R. C. D., & Fleischmann, A. S. (2020). Lake topography and active storage from satellite observations of flood frequency. Water Resources Research, 56(7). https://doi.org/10.1029/2019wr026362