cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7054367
title: S-GDB13

description: According to Lipinski's rule, all molecules in GDB-13 are considered to be drug-like. Reducing the number of molecules and finding more drug-like molecules are the basis for accelerating drug development. The D-GCAN was used to predict the drug-likeness on this database. With the help of D-GCAN, the number of drug-like molecules was reduced to 570 million. The screened database (S-GDB13) can be used to screen novel drug candidates for specific potencies.
DOI: 10.5281/zenodo.7054366
title: S-GDB13

description: According to Lipinski's rule, all molecules in GDB-13 are considered to be drug-like. Reducing the number of molecules and finding more drug-like molecules are the basis for accelerating drug development. The D-GCAN was used to predict the drug-likeness on this database. With the help of D-GCAN, the number of drug-like molecules was reduced to 570 million. The screened database (S-GDB13) can be used to screen novel drug candidates for specific potencies.
DOI: 10.34740/kaggle/dsv/4170320
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.20291934.v1
title: Prevalence and Determinants of Obesity among Indonesian Diabetics

description: The present study aimed to determine the prevalence and determinants of obesity among diabetic individuals in Indonesia
DOI: 10.34740/kaggle/dsv/4170379
title: BBC News
DOI: 10.6084/m9.figshare.21006490
title: Vegans and vegetarians have higher orthorexic traits than omnivores and choose food for reasons including ethics and weight control

description: SPSS sav. file with de-identified data <br> <br>
DOI: 10.6084/m9.figshare.21006490.v1
title: Untitled Item

description: SPSS sav. file with de-identified data <br> <br>
DOI: 10.57760/sciencedb.02447
title: Data for: A calibration transfer optimized single kernel near-infrared spectroscopic method
title: Data for: A calibration transfer optimized single kernel near-infrared spectroscopic method

description: The spectra data, models and the prediction results. The files should be open with Unscrambler X 10.4 software.
description: The spectra data, models and the prediction results. The files should be open with Unscrambler X 10.4 software.
DOI: 10.5439/1573756
title: 915-MHz Radar Wind Profiler: wind spectra data; low power mode

description: 915-MHz Radar Wind Profiler: wind spectra data; low power mode
DOI: 10.5439/1573757
title: 915-MHz Radar Wind Profiler: vertical spectra data; high power mode

description: 915-MHz Radar Wind Profiler: vertical spectra data; high power mode
DOI: 10.25584/pnnl.data/1820321
title: Dataset for "Development of heterogeneous ice nucleation rate coefficient parameterizations from ambient measurements"

description: Ice nucleating particles (INPs) are a rare subset of particles that can have an outsized impact relative to their prevalence. To simulate INP variability, models require parameterizations for the most important sources of INPs. Most parameterizations in the literature were developed from laboratory experiments that used proxies for ambient particles. Whether these laboratory models effectively represent ambient aerosol is still not well understood and parameterizations developed from field measurements may be more atmospherically relevant. Expanding on previous work in which we used an ice chamber and an single particle mass spectrometer (SPMS) to characterize INP composition, we use the combined measurements to calculate heterogeneous ice nucleation rate coefficients for ambient particles. We find good agreement between our results for dust and sea spray aerosol with previous results. We also determine the relative contribution of each measurement to the total measurement uncertainty using a Monte Carlo approach and find that the biggest source of uncertainty is the sampling efficiency of the SPMS.
DOI: 10.5281/zenodo.7043386
title: Replication package of SkCoder

description: The replication package of SkCoder in ICSE2023, including the datasets and the source code.
DOI: 10.5281/zenodo.7043385
title: Replication package of SkCoder

description: The replication package of SkCoder in ICSE2023, including the datasets and the source code.
DOI: 10.5281/zenodo.7043220
title: Replication package of SkCoder

description: The replication package of SkCoder in ICSE2023, including the datasets and the source code.
DOI: 10.5281/zenodo.7043219
title: Replication package of SkCoder

description: The replication package of SkCoder in ICSE2023, including the datasets and the source code.
DOI: 10.5281/zenodo.6526327
title: Source code and data of CodeReviser in ASE2022

description: The source code and datasets of CodeReviser in ASE2022.
DOI: 10.5281/zenodo.6526326
title: Source code and data of CodeReviser in ASE2022

description: The source code and datasets of CodeReviser in ASE2022.
DOI: 10.5439/1877293
title: cogs.c1

description: COGS is a four-dimensional (4D) map of cloudiness generated by multiview stereo reconstruction using the ARM stereo camera ring at the Southern Great Plains (SGP) atmospheric observatory. These data are particularly useful for studies of the life cycles and macrophysical attributes of shallow cumulus clouds. COGS covers a 6 km x 6 km x 6 km region at the SGP Central Facility centered at the position of the Doppler lidar.
DOI: 10.34740/kaggle/dsv/4170495
title: Sneaker 899-Classification total-50,000-Images
DOI: 10.6084/m9.figshare.12292763
title: The Khartoum-Omdurman conurbation: a growing megacity at the confluence of the Blue and White Nile Rivers

description: Khartoum is one of the largest cities in Africa, located immediately south of the junction of the Blue and White Nile rivers in central Sudan. The growth of the Greater Khartoum-Omdurman conurbation arose – without a proper urban plan – from the agricultural wealth created through the completion of three dams, and mostly in the last three decades. Urban expansion was enabled by and helped to enhance the major agricultural expansion of the Gezira clay plains located to the south between the lower Blue and White Nile rivers. The region has been a focus of human settlement for at least 8,000 years, initially by semi-sedentary groups with a fishing-hunting-gathering lifestyle and later by Neolithic groups as shown by hundreds of archaeological sites. Today, Khartoum is a desert city, still very vulnerable to floods triggered by intense convectional storms. Such extreme events may become more common in future, representing a major geomorphological hazard. Moreover, uncontrolled urban and agricultural development is threatening most of the cultural heritage of the region.
DOI: 10.6084/m9.figshare.12292763.v1
title: The Khartoum-Omdurman conurbation: a growing megacity at the confluence of the Blue and White Nile Rivers

description: Khartoum is one of the largest cities in Africa, located immediately south of the junction of the Blue and White Nile rivers in central Sudan. The growth of the Greater Khartoum-Omdurman conurbation arose – without a proper urban plan – from the agricultural wealth created through the completion of three dams, and mostly in the last three decades. Urban expansion was enabled by and helped to enhance the major agricultural expansion of the Gezira clay plains located to the south between the lower Blue and White Nile rivers. The region has been a focus of human settlement for at least 8,000 years, initially by semi-sedentary groups with a fishing-hunting-gathering lifestyle and later by Neolithic groups as shown by hundreds of archaeological sites. Today, Khartoum is a desert city, still very vulnerable to floods triggered by intense convectional storms. Such extreme events may become more common in future, representing a major geomorphological hazard. Moreover, uncontrolled urban and agricultural development is threatening most of the cultural heritage of the region.
DOI: 10.6084/m9.figshare.13066043
title: Changes in the topography of Krakow city centre, Poland, during the last millennium

description: The aim of the paper is to reconstruct differences between the paleotopography and contemporary topography of the historic centre of Krakow city, Poland, during the last millennium. The paleotopography was reconstructed using published contour-line maps based on archaeological and geoengineering investigations and showing the roof of <i>in situ</i> fossil soil. The preliminary contour-line map represented a digital elevation model (DEM) base map. A DEM from aerial laser scanning (ALS DEM) shows the contemporary topography of Krakow city centre. The application of selected morphometric indices makes it possible to quantitatively describe changes in the spatial dimension with regard to altitude, relative heights, slope, and aspect classes. The analysis of the changes in the values of the elements of topography studied shows that, at the scale of the whole study area, a trend to flattening occurs, however this trend is locally balanced or overridden by an increase of surface unevenness.
DOI: 10.6084/m9.figshare.13066043.v2
title: Changes in the topography of Krakow city centre, Poland, during the last millennium

description: The aim of the paper is to reconstruct differences between the paleotopography and contemporary topography of the historic centre of Krakow city, Poland, during the last millennium. The paleotopography was reconstructed using published contour-line maps based on archaeological and geoengineering investigations and showing the roof of <i>in situ</i> fossil soil. The preliminary contour-line map represented a digital elevation model (DEM) base map. A DEM from aerial laser scanning (ALS DEM) shows the contemporary topography of Krakow city centre. The application of selected morphometric indices makes it possible to quantitatively describe changes in the spatial dimension with regard to altitude, relative heights, slope, and aspect classes. The analysis of the changes in the values of the elements of topography studied shows that, at the scale of the whole study area, a trend to flattening occurs, however this trend is locally balanced or overridden by an increase of surface unevenness.
DOI: 10.6084/m9.figshare.13066043.v1
title: Changes in the topography of Krakow city centre, Poland, during the last millennium

description: The aim of the paper is to reconstruct differences between the paleotopography and contemporary topography of the historic centre of Krakow city, Poland, during the last millennium. The paleotopography was reconstructed using published contour-line maps based on archaeological and geoengineering investigations and showing the roof of <i>in situ</i> fossil soil. The preliminary contour-line map represented a digital elevation model (DEM) base map. A DEM from aerial laser scanning (ALS DEM) shows the contemporary topography of Krakow city centre. The application of selected morphometric indices makes it possible to quantitatively describe changes in the spatial dimension with regard to altitude, relative heights, slope, and aspect classes. The analysis of the changes in the values of the elements of topography studied shows that, at the scale of the whole study area, a trend to flattening occurs, however this trend is locally balanced or overridden by an increase of surface unevenness.
DOI: 10.5281/zenodo.7042518
title: Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits

description: Summary statistics relevant to Nam et al. "Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits". See README.txt for details.
DOI: 10.5281/zenodo.7042517
title: Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits

description: Summary statistics relevant to Nam et al. "Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits". See README.txt for details.
DOI: 10.5281/zenodo.6749787
title: MASNUM model data and results

description: This repository contains all publicly available data required in the Indian Ocean modeling using the MASNUM ocean circulation model, as well as the simulated temperature, diffusive term and current results. Gebco_08: the topography based on the global General Bathymetric Chart of the Oceans 2008 (GEBCO_08) data. Levitus: the annually mean Levitus data are interpolated as the initial temperature and salinity. NCEP_NCAR: The surface forcing including the momentum, heat and wind stress fluxes are calculated from the monthly mean surface fields of the National Centers for Environmental Prediction / National Center for Atmospheric Research (NCEP/NCAR) reanalysis data set from 1948 to 2021. OSCAR: the multi-year (1993-2021) monthly mean Ocean Surface Current Analyses Real-time (OSCAR) data are regarded as a reference in the comparison of the simulated current. results: the simulated temperature, diffusive term and current results using the MASNUM ocean model. result_glob: the global simulated results that can provide the data for the open boundary conditions in the Indian Ocean modeling. WOA13: The simulated temperature in the last 1 year are compared with the monthly World Ocean Atlas 2013 (WOA13) climatologic data which is regarded as a reference. BOA-Argo: The grided products from the Argo data, and used to validate the modeling further.
DOI: 10.5281/zenodo.6749788
title: MASNUM model data and results

description: This repository contains all publicly available data required in the Indian Ocean modeling using the MASNUM ocean circulation model, as well as the simulated temperature, diffusive term and current results. Gebco_08: the topography based on the global General Bathymetric Chart of the Oceans 2008 (GEBCO_08) data. Levitus: the annually mean Levitus data are interpolated as the initial temperature and salinity. NCEP_NCAR: The surface forcing including the momentum, heat and wind stress fluxes are calculated from the monthly mean surface fields of the National Centers for Environmental Prediction / National Center for Atmospheric Research (NCEP/NCAR) reanalysis data set from 1948 to 2021. OSCAR: the multi-year (1993-2021) monthly mean Ocean Surface Current Analyses Real-time (OSCAR) data are regarded as a reference in the comparison of the simulated current. results: the simulated temperature, diffusive term and current results using the MASNUM ocean model. result_glob: the global simulated results that can provide the data for the open boundary conditions in the Indian Ocean modeling. WOA13: The simulated temperature in the last 1 year are compared with the monthly World Ocean Atlas 2013 (WOA13) climatologic data which is regarded as a reference.
DOI: 10.5281/zenodo.7055803
title: MASNUM model data and results

description: This repository contains all publicly available data required in the Indian Ocean modeling using the MASNUM ocean circulation model, as well as the simulated temperature, diffusive term and current results. Gebco_08: the topography based on the global General Bathymetric Chart of the Oceans 2008 (GEBCO_08) data. Levitus: the annually mean Levitus data are interpolated as the initial temperature and salinity. NCEP_NCAR: The surface forcing including the momentum, heat and wind stress fluxes are calculated from the monthly mean surface fields of the National Centers for Environmental Prediction / National Center for Atmospheric Research (NCEP/NCAR) reanalysis data set from 1948 to 2021. OSCAR: the multi-year (1993-2021) monthly mean Ocean Surface Current Analyses Real-time (OSCAR) data are regarded as a reference in the comparison of the simulated current. results: the simulated temperature, diffusive term and current results using the MASNUM ocean model. result_glob: the global simulated results that can provide the data for the open boundary conditions in the Indian Ocean modeling. WOA13: The simulated temperature in the last 1 year are compared with the monthly World Ocean Atlas 2013 (WOA13) climatologic data which is regarded as a reference. BOA-Argo: The grided products from the Argo data, and used to validate the modeling further.
DOI: 10.5281/zenodo.7053910
title: Mapping of Seaweed Aquaculture

description: In the <strong>Extraction results of seaweed aquaculture area.zip</strong>,we have placed the extraction results of the seaweed aquaculture area.They are raster data in tif format after geographic projection.In addition, we used the China Fisheries Statistical Yearbook data from 2016 to 2020 and placed it in the<strong> China Fisheries Statistical Yearbook From 2016 to 2020.zip</strong>.The spatial scope of the prohibited and restricted aquaculture areas of seaweed is presented at the end of <strong>the Planning of Tidal Flats in Aquaculture Waters in Jiangsu Province (2020-2030)</strong>.
DOI: 10.5281/zenodo.7053911
title: Mapping of Seaweed Aquaculture

description: In the <strong>Extraction results of seaweed aquaculture area.zip</strong>,we have placed the extraction results of the seaweed aquaculture area.They are raster data in tif format after geographic projection.In addition, we used the China Fisheries Statistical Yearbook data from 2016 to 2020 and placed it in the<strong> China Fisheries Statistical Yearbook From 2016 to 2020.zip</strong>.The spatial scope of the prohibited and restricted aquaculture areas of seaweed is presented at the end of <strong>the Planning of Tidal Flats in Aquaculture Waters in Jiangsu Province (2020-2030)</strong>.
DOI: 10.7799/1885569
title: Interregional Renewable Energy Zones

description: Interregional Renewable Energy Zones (IREZs) are a component of the National Transmission Planning Study (NTPS), which analyzes strategies for building out transmission infrastructure to support decarbonizing the electricity sector by 2035. In particular, IREZs envision long-distance transmission corridors for moving large amounts of low-cost renewable energy. An IREZ is a transmission collection point that is easily accessible to a very high volume of low-cost developable wind and solar energy potential. This dataset includes 155 IREZs identified across the continental United States where each IREZ is characterized by its primary and secondary resource.
DOI: 10.6084/m9.figshare.21006883
title: Land cover of Xinjiang in2015

description: Spatial distribution map of land cover in Xinjiang in 2015
DOI: 10.6084/m9.figshare.21006883.v1
title: Land cover of Xinjiang in2015

description: Spatial distribution map of land cover in Xinjiang in 2015
DOI: 10.3886/1apk-ak24
title: El Salvador Compact - Connectivity (Impact): Baseline Analysis Report
DOI: 10.3886/evva-g520
title: El Salvador Compact - Connectivity (Impact): Baseline Analysis Report
DOI: 10.3886/an7t-0408
title: El Salvador Compact - Connectivity (Impact): Final Analysis Report
DOI: 10.3886/zcmf-ze65
title: El Salvador Compact - Connectivity (Impact): Final Analysis Report
DOI: 10.5281/zenodo.7051896
title: Global Airborne Observatory: Plot-level Forest Canopy Properties in Sabah, Malaysia

description: Plot-level mapping data derived from the Global Airborne Observatory mission in Sabah (Borneo), Malaysia in 2016. Use of these data requires citation of this publication as well as this dataset as follows: Ordway E.M., G.P. Asner, D. Burslem, S. Lewis, R. Martin, R. Nilus, M.J. O’Brien, O. Phillips, L. Qie, N.R. Vaughn, and P.R. Moorcroft. 2022. Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits. <em>Communications Earth & Environment.</em> Asner, G.P., E. Ordway, J. Heckler, and N.R. Vaughn. 2022. Global Airborne Observatory: Plot-level Forest Canopy Properties in Sabah, Malaysia (1.0) [Data set]. <em>Zenodo</em>. https://doi.org/10.5281/zenodo.7051897 Data details: (1) Data cover the Danum and Sepilok sites as described in Ordway et al. (2022) <em>Communication Earth and Environment. </em>All data layers are presented in GeoTIFF format. (2) ACD = Aboveground carbon density in units of Mg C per hectare at 30 meter spatial resolution, as described in <em>https://www.sciencedirect.com/science/article/pii/S0006320717310790</em> (3) LAD = Leaf area density in units of m2 per m3 at 50 meter spatial resolution. (4) chems = Leaf chemical traits at 4 meter spatial resolution, as described in <em>https://www.mdpi.com/2072-4292/10/2/199</em> (5) TCH = top-of-canopy height in units of meters, as described in <em>https://www.sciencedirect.com/science/article/pii/S0006320717310790</em>
DOI: 10.5281/zenodo.7051897
title: Global Airborne Observatory: Plot-level Forest Canopy Properties in Sabah, Malaysia

description: Plot-level mapping data derived from the Global Airborne Observatory mission in Sabah (Borneo), Malaysia in 2016. Use of these data requires citation of this publication as well as this dataset as follows: Ordway E.M., G.P. Asner, D. Burslem, S. Lewis, R. Martin, R. Nilus, M.J. O’Brien, O. Phillips, L. Qie, N.R. Vaughn, and P.R. Moorcroft. 2022. Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits. <em>Communications Earth & Environment.</em> Asner, G.P., E. Ordway, J. Heckler, and N.R. Vaughn. 2022. Global Airborne Observatory: Plot-level Forest Canopy Properties in Sabah, Malaysia (1.0) [Data set]. <em>Zenodo</em>. https://doi.org/10.5281/zenodo.7051897 Data details: (1) Data cover the Danum and Sepilok sites as described in Ordway et al. (2022) <em>Communication Earth and Environment. </em>All data layers are presented in GeoTIFF format. (2) ACD = Aboveground carbon density in units of Mg C per hectare at 30 meter spatial resolution, as described in <em>https://www.sciencedirect.com/science/article/pii/S0006320717310790</em> (3) LAD = Leaf area density in units of m2 per m3 at 50 meter spatial resolution. (4) chems = Leaf chemical traits at 4 meter spatial resolution, as described in <em>https://www.mdpi.com/2072-4292/10/2/199</em> (5) TCH = top-of-canopy height in units of meters, as described in <em>https://www.sciencedirect.com/science/article/pii/S0006320717310790</em>
DOI: 10.34740/kaggle/dsv/4170640
title: Russian Invasion of Ukraine
DOI: 10.6084/m9.figshare.20579611
title: Additional file 3 of Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome

description: Additional file 3: Table S1. Rank of MT-1 isolates, ordered by number of ARGs predicted, shown in Fig. 4a. Species information obtained from Microbial Nucleotide BLAST.
DOI: 10.6084/m9.figshare.20579611.v1
title: Additional file 3 of Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome

description: Additional file 3: Table S1. Rank of MT-1 isolates, ordered by number of ARGs predicted, shown in Fig. 4a. Species information obtained from Microbial Nucleotide BLAST.
DOI: 10.6084/m9.figshare.20579614
title: Additional file 4 of Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome

description: Additional file 4: Table S2. Phenotypic antibiotic resistance testing results for E. bugandensis and B cereus.
DOI: 10.6084/m9.figshare.20579614.v1
title: Additional file 4 of Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome

description: Additional file 4: Table S2. Phenotypic antibiotic resistance testing results for E. bugandensis and B cereus.
DOI: 10.6084/m9.figshare.20579617
title: Additional file 5 of Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome

description: Additional file 5: File S1. Raw results of the DeepARG analyses (zip compressed).
DOI: 10.6084/m9.figshare.20579617.v1
title: Additional file 5 of Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome

description: Additional file 5: File S1. Raw results of the DeepARG analyses (zip compressed).