cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7514646
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2014 (001–177)

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2014 (001–177). <em>Please <strong><em>click</em> here</strong> to download the MUSES FVC product <strong>in 2013 (185–361)</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2014 (185–361</strong></em><em><strong>)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2014 (001–177) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7514645
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2014 (001–177)

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2014 (001–177). <em>Please <strong><em>click</em> here</strong> to download the MUSES FVC product <strong>in 2013 (185–361)</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2014 (185–361</strong></em><em><strong>)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2014 (001–177) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.3755279
title: Seasonal Variation of Deep Limb of Pacific Meridional Overturning Circulation at Yap-Mariana Junction

description: This dataset contains deep velocity, temperature, and salinity data. It is supplementary of the paper “Seasonal Variation of Deep Limb of Pacific Meridional Overturning Circulation at Yap-Mariana Junction” published by the Journal of Geophysical Research-Oceans (https://doi.org/10.1029/2019JC016017). Please let me know if you need any more information.
DOI: 10.5281/zenodo.3755278
title: Seasonal Variation of Deep Limb of Pacific Meridional Overturning Circulation at Yap-Mariana Junction

description: This dataset contains deep velocity, temperature, and salinity data. It is supplementary of the paper “Seasonal Variation of Deep Limb of Pacific Meridional Overturning Circulation at Yap-Mariana Junction” published by the Journal of Geophysical Research-Oceans (https://doi.org/10.1029/2019JC016017). Please let me know if you need any more information.
DOI: 10.6084/m9.figshare.21862425
title: HUAXI0020112228.bw

description: 1111
DOI: 10.6084/m9.figshare.21862425.v1
title: HUAXI0020112228.bw

description: 1111
DOI: 10.6084/m9.figshare.21862413.v1
title: A collection of TFBS from JASPAR 2022

description: A collection of TFBS for mm9, mm10, hg19, and hg38.
DOI: 10.6084/m9.figshare.21862413
title: A collection of TFBS from JASPAR 2022

description: A collection of TFBS for mm9, mm10, hg19, and hg38.
DOI: 10.6084/m9.figshare.21862452
title: HUAXI0000573371.bw

description: 11111
DOI: 10.6084/m9.figshare.21862452.v1
title: HUAXI0000573371.bw

description: 11111
DOI: 10.5281/zenodo.7074872
title: Permafrost in Spitsbergen, Svalbard

description: The data used in the study of ground ice loss over permafrost in Spitsbergen, Svalbard during 2018-2020.
DOI: 10.5281/zenodo.7074873
title: Permafrost in Spitsbergen, Svalbard

description: The DEM data used in the study of ground ice loss over permafrost in Spitsbergen, Svalbard during 2018-2020.
DOI: 10.5281/zenodo.7523478
title: Permafrost in Spitsbergen, Svalbard

description: The data used in the study of ground ice loss over permafrost in Spitsbergen, Svalbard during 2018-2020.
DOI: 10.34740/kaggle/dsv/4836298
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.34740/kaggle/dsv/4836299
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.5281/zenodo.7523387
title: DATA: physical adsorption of CO2 in biomass at atmospheric pressure and ambient temperature

description: Supporting data for: Physical adsorption of CO2 in biomass at atmospheric pressure and ambient temperature, Environmental Chemistry Letters, 2020, vol. 18, pp. 1423–1431 https://link.springer.com/article/10.1007/s10311-020-01011-y
DOI: 10.5281/zenodo.7523386
title: DATA: physical adsorption of CO2 in biomass at atmospheric pressure and ambient temperature

description: Supporting data for: Physical adsorption of CO2 in biomass at atmospheric pressure and ambient temperature, Environmental Chemistry Letters, 2020, vol. 18, pp. 1423–1431 https://link.springer.com/article/10.1007/s10311-020-01011-y
DOI: 10.25376/hra.21862386
title: Aijun Qiao.jpg

description: Dr. Aijun Qiao was graduated with his PhD degree in Biochemistry and Molecular Biology from Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Tsinghua University in China, and received his postdoctoral training from Feinberg Cardiovascular Research Institute, School of Medicine, Northwestern University at Chicago and Cancer Center of Augusta University at Augusta, respectively. After postdoctoral training, he joined the Department of Biomedical Engineering at the University of Alabama at Birmingham as Assistant Professor in June 2017. From September 2022, he joined Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences as Professor. Dr. Qiao has broad research experiences in Metabolic diseases and cardiovascular diseases, including Obesity, Type 2 diabetes (T2D), Non-alcohol fatty liver disease (NAFLD), Insulin resistance, Dyslipidemia and Atherosclerosis. His research mainly focuses on studying the molecular and pathological mechanism of these diseases and identifying novel therapeutic targets for drug development. Dr. Qiao has published over 34 original research articles which some are in top journals, such as Hepatology, Nature Communications, The Journal of Cell Biology, et al. He is reserving an editor board members and professional reviewers for numerous Journals.
DOI: 10.25376/hra.21862386.v1
title: Aijun Qiao.jpg

description: Dr. Aijun Qiao was graduated with his PhD degree in Biochemistry and Molecular Biology from Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Tsinghua University in China, and received his postdoctoral training from Feinberg Cardiovascular Research Institute, School of Medicine, Northwestern University at Chicago and Cancer Center of Augusta University at Augusta, respectively. After postdoctoral training, he joined the Department of Biomedical Engineering at the University of Alabama at Birmingham as Assistant Professor in June 2017. From September 2022, he joined Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences as Professor. Dr. Qiao has broad research experiences in Metabolic diseases and cardiovascular diseases, including Obesity, Type 2 diabetes (T2D), Non-alcohol fatty liver disease (NAFLD), Insulin resistance, Dyslipidemia and Atherosclerosis. His research mainly focuses on studying the molecular and pathological mechanism of these diseases and identifying novel therapeutic targets for drug development. Dr. Qiao has published over 34 original research articles which some are in top journals, such as Hepatology, Nature Communications, The Journal of Cell Biology, et al. He is reserving an editor board members and professional reviewers for numerous Journals.
DOI: 10.6084/m9.figshare.21836208
title: scRNA_iPSC_PPC.filtered.robj

description: Seurat Robj containing processed and integrated scRNA-seq of iPSC-PPC
DOI: 10.6084/m9.figshare.21836208.v1
title: scRNA_iPSC_PPC.filtered.robj

description: Seurat Robj containing processed and integrated scRNA-seq of iPSC-PPC
DOI: 10.5281/zenodo.7523482
title: DATA: molecular scale analysis of TEMPO-oxidation of native cellulose molecules

description: Supporting data for: molecular scale analysis of TEMPO-oxidation of native cellulose molecules, Heliyon, 2020, vol. 6 (12), e05776. https://www.sciencedirect.com/science/article/pii/S2405844020326190
DOI: 10.5281/zenodo.7523481
title: DATA: molecular scale analysis of TEMPO-oxidation of native cellulose molecules

description: Supporting data for: molecular scale analysis of TEMPO-oxidation of native cellulose molecules, Heliyon, 2020, vol. 6 (12), e05776. https://www.sciencedirect.com/science/article/pii/S2405844020326190
DOI: 10.6084/m9.figshare.21836211.v1
title: Table_S8_DeltaSVM.robj

description: We report GVATdb (Yan et al., 2021) results for each eQTL using their fine-mapped variants with causal PP file:////Users/jennifernguyen/Library/Group Containers/UBF8T346G9.Office/TemporaryItems/msohtmlclip/clip_image002.png 10%. The table provides: the eQTL ID (the first term indicates the discovery order and the second term indicates the transcript ID); SNP ID; effect size of the variant on gene expression or isoform usage (“beta”); PP of the variant being causal (“SNP.PP”); name of transcription factor (TF) being tested for binding effects; TF binding score for reference and alternate alleles (“allele1_bind” and “allele2_bind”, respectively); a label (“yes” or “no”) indicating whether the TF binds to the SNP; TF binding impact score (“deltaSVM_score”); and a label (“Gain”, “Loss”, or “None”) indicating whether the SNP promotes (“Gain”) , disrupts (“Loss”), or has no effect on TF binding (“None”). Tables for egQTLs (key name: “gene”) and eiQTLs (key name: “isoform”) are available as an R list object.
DOI: 10.6084/m9.figshare.19619751.v1
title: Gakkel Ridge_bathymetry, basement, oceanic age, residual basement, and roughness based on published 21 seismic reflection seismic profiles

description: you can find the digitized data of the bathymetry, basement, oceanic age, residual basement of the recently published 21 seismic profiles over the Arctic ocean. Also including the crustal roughness based on abovementioned dataset.
DOI: 10.6084/m9.figshare.21836211.v2
title: Supplemental Tables

description: Supplemental tables describing the results in our study.
DOI: 10.5281/zenodo.7523527
title: Precondiciones clínicas y ecocardiográficas de la enfermedad de tronco coronario izquierdo en pacientes con infarto agudo de miocardio del Centro de Cirugía Cardiovascular y Cardiología Santiago de Cuba, Cuba 2017-2021

description: La base de datos refleja las variables: edad, sexo, tipo de IMA, tipo de complicaciones, presencia de complicaciones, FEVI, VID, DUMMY, VTDVI, VTSVI, TDI VD, TDI VD DUMMY, PMAP, PMAP DUMMY, PAI, IWS, tipo de lesión, tanto para el gupo de casos (n=100) como para el grupo control (n=300). También aparecen las pruebas estadísticas empleadas.
DOI: 10.5281/zenodo.7523526
title: Precondiciones clínicas y ecocardiográficas de la enfermedad de tronco coronario izquierdo en pacientes con infarto agudo de miocardio del Centro de Cirugía Cardiovascular y Cardiología Santiago de Cuba, Cuba 2017-2021

description: La base de datos refleja las variables: edad, sexo, tipo de IMA, tipo de complicaciones, presencia de complicaciones, FEVI, VID, DUMMY, VTDVI, VTSVI, TDI VD, TDI VD DUMMY, PMAP, PMAP DUMMY, PAI, IWS, tipo de lesión, tanto para el gupo de casos (n=100) como para el grupo control (n=300). También aparecen las pruebas estadísticas empleadas.
DOI: 10.5281/zenodo.5765909
title: Intraseasonal, Annual, and Interannual Variabilities of Subsurface Currents at 4.7°N in the Western Pacific Ocean

description: This dataset contains the velocity data observed by the mooring at 140°E, 4.7°N. It is supplementary of the paper "<strong>Intraseasonal, Annual, and Interannual Variabilities of Subsurface Currents at 4.7°N in the Western Pacific Ocean</strong>" submitted to the <em>Journal of Geophysical Research: Oceans</em>. If you need any more information or want to utilize the data for research purpose, please contact the author first (Dr. Zhixiang Zhang; E-mail: zzx@qdio.ac.cn).
DOI: 10.5281/zenodo.5722612
title: Intraseasonal, Annual, and Interannual Variabilities of Subsurface Currents at 4.7°N in the Western Pacific Ocean

description: This dataset contains the velocity data observed by the mooring at 140°E, 4.7°N. It is supplementary of the paper "<strong>Intraseasonal, Annual, and Interannual Variabilities of Subsurface Currents at 4.7°N in the Western Pacific Ocean</strong>" submitted to the <em>Journal of Geophysical Research: Oceans</em>. If you need any more information or want to utilize the data for research purpose, please contact the author first (Dr. Zhixiang Zhang; E-mail: zzx@qdio.ac.cn).
DOI: 10.5439/1907962
title: DTS data from TRACER TBS

description: Distributed temperature-sensing data collected using a Silixa-XT DTS and 50/125 MM fiber. Data are calibrated using two water baths at the surface and an iMet aloft at the end of the fiber and tether. The data are then assigned an altitude for the TBS flight.
DOI: 10.25582/data.2019-09.1850470/1908379
title: Data from EMSL Project 50717
DOI: 10.6084/m9.figshare.21862554
title: bilirubin

description: Su tuong hop giua 2 phuong phap bieu do Bland Altmann
DOI: 10.5281/zenodo.7523564
title: DATA: Simulation and cost evaluation of hot section of BIPC olefin plant, Bachelor of Science degree thesis in Chemical Engineering, University of Tehran, Tehran, Iran.

description: Data for: Simulation and cost evaluation of hot section of BIPC olefin plant, Bachelor of Science degree thesis in Chemical Engineering, University of Tehran, Tehran, Iran.
DOI: 10.5281/zenodo.7523563
title: DATA: Simulation and cost evaluation of hot section of BIPC olefin plant, Bachelor of Science degree thesis in Chemical Engineering, University of Tehran, Tehran, Iran.

description: Data for: Simulation and cost evaluation of hot section of BIPC olefin plant, Bachelor of Science degree thesis in Chemical Engineering, University of Tehran, Tehran, Iran.
DOI: 10.5281/zenodo.7523567
title: DATA: Analysis of Raman spectra signals based on molecular fingerprints from DFT data

description: Data for Analysis of Raman spectra signals based on molecular fingerprints from DFT data, European Congress and Exhibition on Advanced Materials and Processes: EUROMAT 2021, 12 to 16 September 2021, Graz, Austria.
DOI: 10.5281/zenodo.7523566
title: DATA: Analysis of Raman spectra signals based on molecular fingerprints from DFT data

description: Data for Analysis of Raman spectra signals based on molecular fingerprints from DFT data, European Congress and Exhibition on Advanced Materials and Processes: EUROMAT 2021, 12 to 16 September 2021, Graz, Austria.
DOI: 10.5281/zenodo.7523579
title: DATA: Correlating Raman spectra of Ibuprofen, Nicotinamide and their dimers

description: Data for Correlating Raman spectra of Ibuprofen, Nicotinamide and their dimers, Material Science and Engineering Congress, 22-25 Sept. 2020, Darmstadt, Germany.
DOI: 10.5281/zenodo.7523578
title: DATA: Correlating Raman spectra of Ibuprofen, Nicotinamide and their dimers

description: Data for Correlating Raman spectra of Ibuprofen, Nicotinamide and their dimers, Material Science and Engineering Congress, 22-25 Sept. 2020, Darmstadt, Germany.
DOI: 10.5281/zenodo.7523583
title: DATA: Incomplete cocrystalization of ibuprofen and nicotinamide and its interplay with formation of ibuprofen dimer and/or nicotinamide dimer: a thermodynamic analysis based on DFT data

description: Data for Incomplete cocrystalization of ibuprofen and nicotinamide and its interplay with formation of ibuprofen dimer and/or nicotinamide dimer: a thermodynamic analysis based on DFT data, International Journal of Pharmaceutics, 2020, vol. 591, 119992. Link.
DOI: 10.5281/zenodo.7523582
title: DATA: Incomplete cocrystalization of ibuprofen and nicotinamide and its interplay with formation of ibuprofen dimer and/or nicotinamide dimer: a thermodynamic analysis based on DFT data

description: Data for Incomplete cocrystalization of ibuprofen and nicotinamide and its interplay with formation of ibuprofen dimer and/or nicotinamide dimer: a thermodynamic analysis based on DFT data, International Journal of Pharmaceutics, 2020, vol. 591, 119992. Link.
DOI: 10.5281/zenodo.7523514
title: DATA: enquiry on appropriate selection of polymers for preparation of polymeric nanosorbents and nanofiltration/ultrafiltration membranes for hormone micropollutants removal from water effluents

description: Supporting data for: An enquiry on appropriate selection of polymers for preparation of polymeric nanosorbents and nanofiltration/ultrafiltration membranes for hormone micropollutants removal from water effluents, Chemosphere, 2016, vol. 168, pp. 91-99. www.sciencedirect.com/science/article/pii/S0045653516314333
DOI: 10.5281/zenodo.7523513
title: DATA: enquiry on appropriate selection of polymers for preparation of polymeric nanosorbents and nanofiltration/ultrafiltration membranes for hormone micropollutants removal from water effluents

description: Supporting data for: An enquiry on appropriate selection of polymers for preparation of polymeric nanosorbents and nanofiltration/ultrafiltration membranes for hormone micropollutants removal from water effluents, Chemosphere, 2016, vol. 168, pp. 91-99. www.sciencedirect.com/science/article/pii/S0045653516314333
DOI: 10.5281/zenodo.7523590
title: DATA: enquiry on appropriate selection of polymers for preparation of polymeric nanosorbents and nanofiltration/ultrafiltration membranes for hormone micropollutants removal from water effluents

description: Supporting data for: An enquiry on appropriate selection of polymers for preparation of polymeric nanosorbents and nanofiltration/ultrafiltration membranes for hormone micropollutants removal from water effluents, Chemosphere, 2016, vol. 168, pp. 91-99. www.sciencedirect.com/science/article/pii/S0045653516314333
DOI: 10.5281/zenodo.7523592
title: DATA: Thermo-kinetic modeling of the wet phase inversion process for polymeric membranes fabrication, Masters of Science degree thesis in Chemical Engineering, University of Tehran, Tehran, Iran.

description: Data for Thermo-kinetic modeling of the wet phase inversion process for polymeric membranes fabrication, Master of Science degree thesis in Chemical Engineering, University of Tehran, Tehran, Iran.
DOI: 10.5281/zenodo.7523591
title: DATA: Thermo-kinetic modeling of the wet phase inversion process for polymeric membranes fabrication, Masters of Science degree thesis in Chemical Engineering, University of Tehran, Tehran, Iran.

description: Data for Thermo-kinetic modeling of the wet phase inversion process for polymeric membranes fabrication, Master of Science degree thesis in Chemical Engineering, University of Tehran, Tehran, Iran.
DOI: 10.22002/19xvm-8d568
title: Dataset: Annotation of G-Protein Coupled Receptors in the Genomes of Parasitic Blood Flukes

description: FASTA file of GPCR sequences shown in Figure 1
DOI: 10.5281/zenodo.7523537
title: DATA: quantum mechanics / molecular mechanics (QM/MM) investigation on the mechanism of adsorptive removal of heavy metal ions by lignin: single and competitive ion adsorption

description: Data for quantum mechanics / molecular mechanics (QM/MM) investigation on the mechanism of adsorptive removal of heavy metal ions by lignin: single and competitive ion adsorption, Cellulose, 2017, vol. 24(8), pp. 3131-3143. Link.
DOI: 10.5281/zenodo.7523536
title: DATA: quantum mechanics / molecular mechanics (QM/MM) investigation on the mechanism of adsorptive removal of heavy metal ions by lignin: single and competitive ion adsorption

description: Data for quantum mechanics / molecular mechanics (QM/MM) investigation on the mechanism of adsorptive removal of heavy metal ions by lignin: single and competitive ion adsorption, Cellulose, 2017, vol. 24(8), pp. 3131-3143. Link.
DOI: 10.34944/dspace/8241
title: Tobacco Pricing Strategies

description: Zip archive of all dataset files for the creation of Tobacco Pricing Strategies
DOI: 10.34944/dspace/8242
title: Syringe Service Programs Laws

description: Zip archive of all dataset files for the creation of Syringe Service Programs Laws
DOI: 10.6084/m9.figshare.21862551
title: Demo dataset for MineProt

description: Run the following commands for a new MineProt deployment: <br> git clone https://github.com/huiwenke/MineProt.git mv data MineProt/ && cd MineProt toolkit/setup.sh <br> If you have already deployed MineProt, run: <br> python3 /path/to/mineprot/scripts/import2es.py -i data/repo/demo -a mv data/repo/demo /path/to/mineprot/repo <br>
DOI: 10.6084/m9.figshare.21862551.v1
title: Demo dataset for MineProt

description: Run the following commands for a new MineProt deployment: <br> git clone https://github.com/huiwenke/MineProt.git mv data MineProt/ && cd MineProt toolkit/setup.sh <br> If you have already deployed MineProt, run: <br> python3 /path/to/mineprot/scripts/import2es.py -i data/repo/demo -a mv data/repo/demo /path/to/mineprot/repo <br>
DOI: 10.34944/dspace/8243
title: Local Inclusionary Zoning Laws

description: Zip archive of all dataset files for the creation of Local Inclusionary Zoning Laws
DOI: 10.34944/dspace/8244
title: Procedural Protections in Reproductive Health Care Conscience Laws

description: Zip archive of all dataset files for the creation of Procedural Protections in Reproductive Health Care Conscience Laws
DOI: 10.34944/dspace/8245
title: Federal Supplemental Security Income for Children with Disabilities

description: Zip archive of all dataset files for the creation of Federal Supplemental Security Income for Children with Disabilities