cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3386237
title: Redistribution of the map with the borders of the Flemish provinces (status 2018-05-16)

description: This is a redistribution of a subdataset of the data source 'Voorlopig referentiebestand gemeentegrenzen, toestand 16/05/2018' (Provisional Reference File Municipal Borders), originally published by 'Informatie Vlaanderen' under a CC-BY compatible license. It is redistributed for reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes. The Provisional Reference File Municipal Borders contains information about the delimitation of the territory of the administrative units in the Flemish Region: Municipalities, Administrative districts, Provinces and the Flemish Region. The dataset also contains meta information about the origin of the geometry of the municipal boundaries. The Provisional Reference File Municipal Borders serves as a geometric and object reference for the administrative divisions in Flanders. The best available information is used to construct the geometry of the several administrative divisions. This subdataset is a shapefile of geospatial polygons that delimit the Flemish Region, identical to the shapefile <code>Refprov</code> in the original data source. The data source is produced, owned and administered by ‘Informatie Vlaanderen’.
description: This is a redistribution of data originally published by 'Informatie Vlaanderen'.
DOI: 10.21227/27tr-0a89
title: Simulated Disaster Victim (SDV1 SDV2) dataset

description: Simulated Disaster Victim dataset consists of images and video frames containing simulated human victims in cluttered scenes along with pixel-level annotated skin maps. The simulation was carried out in a controlled environment with due consideration towards the health of all the volunteers. To generate a real effect of a disaster, Fuller’s earth is used which is skin-friendly and does not cause harm to humans. It created an effect of disaster dust over the victims in different situations. The victims included one female and four male volunteers. The objective of this dataset generation was to capture images having humans lying in different postures in a catastrophic scenario. The clutter is brought in by using construction material, such as bricks, cement bags, dust, Fuller's earth, stones, etc. The datasets have a variety of variations including color, scale, pose, illumination, motion blur, and occlusion. The dataset consists of two parts SDV1 and SDV2. SDV1 consists of 128 images and ground truth maps. SDV2 video dataset has 15 video clips. The SDV2 dataset has pixel-level annotations of skin maps around which skin objectness windows are formed for random frames for each video. To the best of our knowledge, there is no dataset publicly available testing algorithms used for assisting rescuers in locating victims. This dataset will serve as a benchmark dataset benefiting future research efforts in this direction.
DOI: 10.3886/e111704
title: Psychometric Properties of the Korean Version of the Health Literacy on Social Determinants of Health Questionnaire (K-HL-SDHQ)

description: The association between the social determinant of health (SDH) and sustainable development goals, has directed attention toward the influence of SDH. However, there is a lack of evidence regarding the instruments used to assess SDH. Thus, this study was conducted to assess the validity and reliability of the Korean Version of the Health Literacy on Social Determinants of Health Questionnaire (K-HL-SDHQ). A total of 660 workers in Korea participated in an online survey. The K-HL-SDHQ measures four dimensions (Access, Understand, Appraise, and Apply) with 33 items. The HL-SDHQ was translated into Korean using the forward-back translation method. To test the validity and reliability of the Korean translated HL-SDHQ, item analysis for the 33 items was conducted. Internal consistency was examined using Cronbach’s ⍺, an exploratory factor analysis, and a confirmatory factor analysis. The scale-level content validity index (S-CVI)/Universal agreement of this study was .12 and S-CVI/Average variance extracted was .83 (item-CVI range=.50-1.00). The goodness of fit determined through a confirmatory factor analysis of the four dimensions was acceptable (χ2 (489) = 1475.0544.735, p &lt; .001, RMSEA =.06, CFI =.87, TLI = .85). The K-HL-SDHQ also demonstrated satisfactory internal consistency reliability (Cronbach’s ⍺=.92).3 The findings indicate that the K-HL-SDHQ is a valid and reliable tool that can be used to assess the SDH of workers in Korea. It is suggested that this tool can be applied through repeated research with workers and non-workers for health promotion, and to enhance researchers’ understanding of the different levels of the HL-SDHQ. <br>
DOI: 10.3886/e111704v1
title: Psychometric Properties of the Korean Version of the Health Literacy on Social Determinants of Health Questionnaire (K-HL-SDHQ)

description: The association between the social determinant of health (SDH) and sustainable development goals, has directed attention toward the influence of SDH. However, there is a lack of evidence regarding the instruments used to assess SDH. Thus, this study was conducted to assess the validity and reliability of the Korean Version of the Health Literacy on Social Determinants of Health Questionnaire (K-HL-SDHQ). A total of 660 workers in Korea participated in an online survey. The K-HL-SDHQ measures four dimensions (Access, Understand, Appraise, and Apply) with 33 items. The HL-SDHQ was translated into Korean using the forward-back translation method. To test the validity and reliability of the Korean translated HL-SDHQ, item analysis for the 33 items was conducted. Internal consistency was examined using Cronbach’s ⍺, an exploratory factor analysis, and a confirmatory factor analysis. The scale-level content validity index (S-CVI)/Universal agreement of this study was .12 and S-CVI/Average variance extracted was .83 (item-CVI range=.50-1.00). The goodness of fit determined through a confirmatory factor analysis of the four dimensions was acceptable (χ2 (489) = 1475.0544.735, p &lt; .001, RMSEA =.06, CFI =.87, TLI = .85). The K-HL-SDHQ also demonstrated satisfactory internal consistency reliability (Cronbach’s ⍺=.92).3 The findings indicate that the K-HL-SDHQ is a valid and reliable tool that can be used to assess the SDH of workers in Korea. It is suggested that this tool can be applied through repeated research with workers and non-workers for health promotion, and to enhance researchers’ understanding of the different levels of the HL-SDHQ. <br>
DOI: 10.5281/zenodo.3380530
title: ROMS-PISCES coupled implementation for the Marquesas (Run Sed5 - Y4)

description: These data are the average outputs of the ROMS-PISCES implementation (Run Sed5) used in the paper: Raapoto et al. 2019 "Role of iron in the remarkable Marquesas island mass effect"
DOI: 10.5281/zenodo.3380531
title: ROMS-PISCES coupled implementation for the Marquesas (Run Sed5 - Y4)

description: These data are the average outputs of the ROMS-PISCES implementation (Run Sed5) used in the paper: Raapoto et al. 2019 "Role of iron in the remarkable Marquesas island mass effect"
DOI: 10.5281/zenodo.3384372
title: ROMS-PISCES coupled implementation for the Marquesas (Run Sed5 - Y5)

description: These data are the average outputs of the ROMS-PISCES implementation (Run Sed5) used in the paper: Raapoto et al. 2019 "Role of iron in the remarkable Marquesas island mass effect"
DOI: 10.5281/zenodo.3384373
title: ROMS-PISCES coupled implementation for the Marquesas (Run Sed5 - Y5)

description: These data are the average outputs of the ROMS-PISCES implementation (Run Sed5) used in the paper: Raapoto et al. 2019 "Role of iron in the remarkable Marquesas island mass effect"
DOI: 10.5281/zenodo.3385862
title: Small example Eiger 2X 16M data set from Diamond Light Source I04

description: Useful small (488 frame) Eiger data set recorded during routine testing, useful for software testing as it is small. Data recorded from a thaumatin crystal (unfortunate naming on my part) Revision includes screening images, and addition of name dataset in /entry/instrument <pre>&gt; h5dump -d /entry/instrument/name Therm_6_2.nxs HDF5 "Therm_6_2.nxs" { DATASET "/entry/instrument/name" { DATATYPE H5T_STRING { STRSIZE H5T_VARIABLE; STRPAD H5T_STR_NULLTERM; CSET H5T_CSET_ASCII; CTYPE H5T_C_S1; } DATASPACE SCALAR DATA { (0): "Macromolecular Crystallography I04" } } } </pre>
DOI: 10.5281/zenodo.3378061
title: ROMS-PISCES coupled implementation for the Marquesas (Run Biosope - Y4)

description: These data are the average outputs of the ROMS-PISCES implementation (Run Biosope) used in the paper: Raapoto et al. 2019 "Role of iron in the remarkable Marquesas island mass effect"
DOI: 10.5281/zenodo.3378062
title: ROMS-PISCES coupled implementation for the Marquesas (Run Biosope - Y4)

description: These data are the average outputs of the ROMS-PISCES implementation (Run Biosope) used in the paper: Raapoto et al. 2019 "Role of iron in the remarkable Marquesas island mass effect"
DOI: 10.5281/zenodo.3379189
title: ROMS-PISCES coupled implementation for the Marquesas (Run Sed2.5)

description: These data are the average outputs of the ROMS-PISCES implementation (Run Sed2.5) used in the paper: Raapoto et al. 2019 "Role of iron in the remarkable Marquesas island mass effect"
DOI: 10.5281/zenodo.3379190
title: ROMS-PISCES coupled implementation for the Marquesas (Run Sed2.5)

description: These data are the average outputs of the ROMS-PISCES implementation (Run Sed2.5) used in the paper: Raapoto et al. 2019 "Role of iron in the remarkable Marquesas island mass effect"
DOI: 10.7910/dvn/ts2a43/eniedz
title: 20180821_182707_DIRECTSAMPLING_1.csv

description: :unav
DOI: 10.17632/jj753mxdt8.1
title: Data for: Common and country specific factors in the distribution of real wages

description: In the file uploaded we are providing Codes, Data and Function used for the article.
DOI: 10.5281/zenodo.3386459
title: Chronicle of Nature - Phenology of Arachnids of Bryansk Forest Nature Reserve

description: Arachnids Phenology dataset compiled in the context of Chronicle of Nature program in Bryansk Forest Nature Reserve (Russian Federation) consisting of 11 records collected during 11 years between 1996 and 2007.
description: This dataset export was created by EarthCape software platform version 18.2.7187.19074
DOI: 10.5281/zenodo.3386460
title: Chronicle of Nature - Phenology of Arachnids by Bryansk Forest Nature Reserve

description: Arachnids Phenology dataset compiled in the context of Chronicle of Nature program in Bryansk Forest Nature Reserve (Russian Federation) consisting of 11 records collected during 11 years between 1996 and 2007.
description: This dataset export was created by EarthCape software platform version 18.2.7186.34725
DOI: 10.5519/qd.4zvitnlg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (17 records)
DOI: 10.7910/dvn/ts2a43/jxyi9g
title: 20180821_182707_DIRECTSAMPLING_2.csv

description: :unav
DOI: 10.5066/p9mob5e3
title: Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China

description: Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can readily be monitored. In this study, wall-to-wall maps of species-level AFB were generated for forests in Northeast China by integrating forest inventory data with Moderate Resolution Imaging Spectroradiometer (MODIS) images and environmental variables through applying the optimal k-nearest neighbor (kNN) imputation model. By comparing the prediction accuracy of 630 kNN models, we found that the models with random forest (RF) as the distance metric showed the highest accuracy. Compared to the use of single-month MODIS data for September, there was no appreciable improvement for the estimation accuracy of species-level AFB by using multi-month MODIS data. When k 7, the accuracy improvement of the RF-based kNN models using the single MODIS predictors for September was essentially negligible. Therefore, the kNN model using the RF distance metric, single-month (September) MODIS predictors and k = 7 was the optimal model to impute the species-level AFB for entire Northeast China. Our imputation results showed that average AFB of all species over Northeast China was 101.98 Mg/ha around 2000. Among 17 widespread species, larch was most dominant, with the largest AFB (20.88 Mg/ha), followed by white birch (13.84 Mg/ha). Amur corktree and willow had low AFB (0.91 and 0.96 Mg/ha, respectively). Environmental variables (e.g., climate and topography) had strong relationships with species-level AFB. By integrating forest inventory data and remote sensing data with complete spatial coverage using the optimal kNN model, we successfully mapped the AFB distribution of the 17 tree species over Northeast China. We also evaluated the accuracy of AFB at different spatial scales. The AFB estimation accuracy significantly improved from stand level up to the ecotype level, indicating that the AFB maps generated from this study are more suitable to apply to forest ecosystem models (e.g., LINKAGES) which require species-level attributes at the ecotype scale.
DOI: 10.17632/9tm9xtxchd.1
title: Data for: Evaluation of wet and dry Recurring Slope Lineae (RSL) formation mechanisms based on quantitative mapping of RSL in Garni Crater, Valles Marineris, Mars.

description: see readme.docx
DOI: 10.15468/bin7nq
title: Odonata (Insecta) from Different States of North Eastern India

description: This dataset contains the digitized treatments in Plazi based on the original journal article A. R. Lahiri (1979): Odonata (Insecta) from Different States of North Eastern India. Oriental Insects 13: 119-132, DOI: 10.5281/zenodo.3386079
DOI: 10.5281/zenodo.3385759
title: µgreen-db

description: Studying the ecology of photosynthetic microeukaryotes and prokaryotic cyanobacterial communities requires molecular tools to complement morphological observations. These tools rely on specific genetic markers and require the development of specialised databases to achieve taxonomic assignment. We set up a reference database, called µgreen-db, for the 23S rRNA gene. The sequences were retrieved from generalist (NCBI, SILVA) or Comparative RNA Web (CRW) databases, in addition to a more original approach involving recursive BLAST searches to obtain the best possible sequence recovery. At present, µgreen-db includes 2,326 23S rRNA sequences belonging to both eukaryotes and prokaryotes encompassing 442 unique genera and 736 species of photosynthetic microeukaryotes, cyanobacteria and non-vascular land plants based on the NCBI and AlgaeBase taxonomy. When PR<sup>2</sup>/SILVA taxonomy is used instead, µgreen-db contains 2,217 sequences (399 unique <em>genera</em> and 696 unique <em>species</em>). Using µgreen-db, we were able to assign 96 % of the sequences of the V domain of the 23S rRNA gene obtained by metabarcoding after amplification from soil DNA at the genus level, highlighting good coverage of the database. µgreen-db is accessible at http://microgreen-23sdatabase.ea.inra.fr.
DOI: 10.5281/zenodo.3385760
title: µgreen-db

description: Photosynthetic eukaryotic microalgae and prokaryotic cyanobacteria are key ecological players in biogeochemical cycles both in aquatic and terrestrial habitats. To study the evolution and ecology of these organisms in situ, molecular tools are necessary to complement the historical and widely applied technique of morphological observations. Here, we set up a reference database for the plastidial 23S rRNA gene used to characterise the group of photosynthetic eukaryotic algae and prokaryotic cyanobacteria. The sequences were retrieved from either generalist (NCBI, SILVA) or Comparative RNA Web (CRW) databases, in addition to using a more original approach involving recursive BLASTS searches to obtain the best sequence recovery. At present, this database, called µgreen-db, includes 2,326 plastidial 23S rRNA sequences spanning four Kingdoms (Eubacteria, Chromista, Protozoa and Plantae) encompassing 442 unique genera and 736 species of eukaryotic algae, cyanobacteria and non-vascular land plants.
DOI: 10.5519/qd.618dxp6f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (37 records)
DOI: 10.5519/qd.6e652e21
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4410 records)
DOI: 10.17632/85dbkmx57c.2
title: Data for: Ordovician carbonate mud mounds of the Baltoscandian Basin in time and space – a geophysical approach

description: Seismic surveys used in figures are available and attached however, if needed, please request for more profiles over Gotland. Well data includes density, gamma ray, sonic logs, impedance, synthetics, time-depth functions and root mean square log times. Geological well-top markers in depth and time are also attached.
DOI: 10.5258/soton/d0833
title: Dataset for Method for generating high purity Laguerre-Gaussian vortex modes paper

description: Dataset for: Clarkson, W. et al (2019). Method for Generating High Purity Laguerre-Gaussian Modes. IEEE Journal of Quantum Electronics 55(5).
DOI: 10.5281/zenodo.3386296
title: Dataset for solar energy intake correlated with weather forecast data

description: This is the first release.
DOI: 10.5281/zenodo.3386297
title: Dataset for solar energy intake correlated with weather forecast data

description: This is the first release.
DOI: 10.5519/qd.rx0wtaao
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4410 records)
DOI: 10.7910/dvn/sbfng7/9rvslu
title: Ara_l336.4_b-1.7_losplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/eil6nc
title: Ara_l336.7_b-2.0_losplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/gxtegq
title: Ara_l336.7_b-2.0_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/l9ofsz
title: Carina_l286.2_b-0.2_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/wd7kw8
title: Ara_l336.4_b-1.7_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/6wgbxk
title: Carina_l288.1_b-1.1_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/fex8qy
title: Carina_l287.4_b-0.6_losplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/k2ooyh
title: Carina_l286.3_b0.2_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/omqmoo
title: CB28_l204.0_b-25.3_losplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/pd4tqu
title: Carina_l288.1_b-1.1_losplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/t9gfwk
title: CB28_l204.0_b-25.3_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/ykpd1d
title: Carina_l286.3_b0.2_losplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/ysxelq
title: Carina_l286.2_b-0.2_losplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/zwfvvh
title: Carina_l287.4_b-0.6_cornerplot_rvfloat.png

description: :unav
DOI: 10.21227/kvbb-mn47
title: Simulated Disaster Victim (SDV1 SDV2) dataset

description: Simulated Disaster Victim dataset consists of images and video frames containing simulated human victims in cluttered scenes along with pixel-level annotated skin maps. The simulation was carried out in a controlled environment with due consideration towards the health of all the volunteers. To generate a real effect of a disaster, Fuller’s earth is used which is skin-friendly and does not cause harm to humans. It created an effect of disaster dust over the victims in different situations. The victims included one female and four male volunteers. The objective of this dataset generation was to capture images having humans lying in different postures in a catastrophic scenario. The clutter is brought in by using construction material, such as bricks, cement bags, dust, Fuller's earth, stones, etc. The datasets have a variety of variations including color, scale, pose, illumination, motion blur, and occlusion. The dataset consists of two parts SDV1 and SDV2. SDV1 consists of 128 images and ground truth maps. SDV2 video dataset has 15 video clips. The SDV2 dataset has pixel-level annotations of skin maps around which skin objectness windows are formed for random frames for each video. To the best of our knowledge, there is no dataset publicly available testing algorithms used for assisting rescuers in locating victims. This dataset will serve as a benchmark dataset benefiting future research efforts in this direction.
DOI: 10.5061/dryad.8234sk4/1
title: Dryad Item 10.5061/DRYAD.8234SK4/1

description: (:tba)
DOI: 10.5281/zenodo.3385123
title: Dataset for "Highly Anisotropic Thermal Transport in LiCoO2"

description: Associated crystal structure files and input/output of the phonon calculations from the manuscript "Highly Anisotropic Thermal Transport in LiCoO2". The crystal structure file "LiCoO2_optimised.vasp" is in the format of VASP, while "LiCoO2_optimised.cif" can be read by standard crystallographic software. The other files can be read by the Phonopy/Phono3py software, where the numbers "191919" and "272727" refer to the q-mesh used for Brillouin zone integration, i.e. 19x19x19 and 27x27x27.
DOI: 10.5281/zenodo.3385124
title: Dataset for "Highly Anisotropic Thermal Transport in LiCoO2"

description: Associated crystal structure files and input/output of the phonon calculations from the manuscript "Highly Anisotropic Thermal Transport in LiCoO2". The crystal structure file "LiCoO2_optimised.vasp" is in the format of VASP, while "LiCoO2_optimised.cif" can be read by standard crystallographic software. The other files can be read by the Phonopy/Phono3py software, where the numbers "191919" and "272727" refer to the q-mesh used for Brillouin zone integration, i.e. 19x19x19 and 27x27x27.
DOI: 10.7910/dvn/sbfng7/0gptry
title: Chamaeleon_l303.0_b-16.7_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/1rvkvp
title: CB34_l187.0_b-3.9_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/4qktpr
title: Chamaeleon_l297.5_b-15.3_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/7r5cpj
title: CB29_l205.8_b-21.6_losplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/ei8kt2
title: CB34_l187.0_b-3.9_losplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/ocv0sw
title: Chamaeleon_l297.5_b-15.3_losplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/rzqkmr
title: Chamaeleon_l303.3_b-14.2_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/t8vyzm
title: CB29_l205.8_b-21.6_cornerplot_rvfloat.png

description: :unav
DOI: 10.7910/dvn/sbfng7/uhjzuu
title: Chamaeleon_l303.0_b-16.7_losplot_rvfloat.png

description: :unav