cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5067/gpm/prtmi/trmm/3b-day/07
title: GPM PR and TMI on TRMM (Combined Precipitation) L3 1 day 0.25x0.25 degree V07
DOI: 10.5067/gpm/prtmi/trmm/csh/3g/07
title: GPM PR and TMI on TRMM Combined Gridded Orbital Convective-Stratiform Latent Heating Profiles L3 1.5 hours 0.25x0.25 degree V07
DOI: 10.5067/gpm/tmi/trmm/1a/07
title: GPM TMI on TRMM unpacked data L1A 1.5 hours 13 km V07
DOI: 10.5067/gpm/virs/trmm/1a/07
title: GPM VIRS on TRMM unpacked data L1A 1.5 hours 2 km V07
DOI: 10.5067/gpm/tmi/trmm/1b/07
title: GPM TMI on TRMM Brightness Temperatures L1B 1.5 hours 13 km V07
DOI: 10.5067/gpm/virs/trmm/1b/07
title: GPM VIRS on TRMM Radiance L1B 1.5 hours 2 km V07
DOI: 10.5067/gpm/tmi/trmm/base/07
title: GPM TMI on TRMM Antenna Temperatures L1BASE 1.5 hours 13 km V07
DOI: 10.5067/gpm/ssmi/f13/1c/07
title: GPM SSMI on F13 Common Calibrated Brightness Temperatures L1C 1.5 hours 13 km V07
DOI: 10.5067/gpm/ssmi/f14/1c/07
title: GPM SSMI on F14 Common Calibrated Brightness Temperatures L1C 1.5 hours 13 km V07
DOI: 10.5067/gpm/ssmi/f15/1c/07
title: GPM SSMI on F15 Common Calibrated Brightness Temperatures L1C 1.5 hours 13 km V07
DOI: 10.5067/gpm/ssmis/f19/1c/07
title: GPM SSMIS on F19 Common Calibrated Brightness Temperatures L1C 1.5 hours 12 km V07
DOI: 10.5067/gpm/mhs/metopa/1c/07
title: GPM MHS on METOP-A Common Calibrated Brightness Temperature L1C 1.5 hours 17 km V07
DOI: 10.5067/gpm/saphir/mt1/1c/07
title: GPM SAPHIR on MT1 Common Calibrated Brightness Temperature L1C 1.5 hours 10 km V07
DOI: 10.5067/gpm/amsub/noaa15/1c/07
title: GPM AMSU-B on NOAA 15 Common Calibrated Brightness Temperatures L1C 1.5 hours 16 km V07
DOI: 10.5067/gpm/amsub/noaa16/1c/07
title: GPM AMSU-B on NOAA 16 Common Calibrated Brightness Temperatures L1C 1.5 hours 16 km V07
DOI: 10.5067/gpm/amsub/noaa17/1c/07
title: GPM AMSU-B on NOAA 17 Common Calibrated Brightness Temperatures L1C 1.5 hours 16 km V07
DOI: 10.5067/gpm/tmi/trmm/1c/07
title: GPM TMI on TRMM Common Calibrated Brightness Temperatures L1C 1.5 hours 13 km V07
DOI: 10.5067/gpm/ssmi/f11/gprofclim/2a/07
title: GPM SSM/I on F11 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 13 km V07
DOI: 10.5067/gpm/tmi/trmm/gprofclim/2a/07
title: GPM TMI on TRMM (GPROF) Climate-based Radiometer Precipitation Profiling L2A 1.5 hours 13 km V07
DOI: 10.5067/gpm/ssmis/f16/3a-month/07
title: GPM SSMIS on F16 (GPROF) Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmis/f17/3a-month/07
title: GPM SSMIS on F17 (GPROF) Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmis/f18/3a-month/07
title: GPM SSMIS on F18 (GPROF) Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/amsr2/gcomw1/3a-month/07
title: GPM AMSR-2 on GCOM-W1 (GPROF) Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/mhs/metopb/3a-month/07
title: GPM MHS on METOP-B (GPROF) Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/mhs/metopc/3a-month/07
title: GPM MHS on METOP-C (GPROF) Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.7267/h989r9944
title: Geochemical data from anoxic sequences of the Nicobar Fan, recovered during International Ocean Discovery Program (IODP) Expedition 362 to the Sumatra subduction zone

description: We report on geochemical data from anoxic sequences of the Nicobar Fan, recovered during International Ocean Discovery Program (IODP) expedition 362 to the Sumatra subduction zone. Analyses include strontium and carbon isotope composition of pore fluids, elemental and isotopic composition of carbonate concretions, and whole sediment analyses.
description: Unstable minerals in sediments shed from the continents continue to undergo weathering in the early stages of burial, which is more pronounced in zones where methane generation increases the sediment acidity. Materials derived from dissolution of continent-derived silicates may appear as newly formed (authigenic) silicates (mostly clay minerals) and also contribute to the nucleation and composition of authigenic carbonates. The data archived here aids in documenting authigenic mineral reactions in the input sediments of the Sumatra subduction zone, which provide constraints on global elemental budgets and the characteristics of materials before they are subducted.
description: ~225 km seaward of the deformation front, Sumatra subduction zone. Detailed description of location and lithostratigraphy in McNeill et al., 2017.
DOI: 10.3886/e174101
title: data-set-B-schools-busines-library

description: this is a data-set of 462 respondents (finance faculty) from Indian B-schools
DOI: 10.5281/zenodo.6783942
title: Dataset and Logs from Crime in Medellin Forecasting

description: Datasets and logs that exced the maximun capacity of githyb repository https://github.com/BioAITeam/Crimes-in-Medellin-Forecasting/
DOI: 10.5281/zenodo.6784381
title: Data for WRR submitted manuscript 2021WR031703R

description: Dataset from global survey on Data-as-a-Service adoption by water and wastewater utilities.
DOI: 10.5281/zenodo.6784337
title: Data for WRR submitted manuscript 2021WR031703R

description: Dataset from global survey on Data-as-a-Service adoption by water and wastewater utilities.
DOI: 10.5281/zenodo.6783408
title: Replication package for: We are all behavioral, more or less: A taxonomy of consumer decision making

description: Code and data for reproducing tables in the paper.
DOI: 10.5281/zenodo.5907897
title: Replication package for: We are all behavioral, more or less: A taxonomy of consumer decision making

description: Code and data for reproducing tables in the paper.
DOI: 10.48493/3mjh-dx34
title: Pig measurements dataset
DOI: 10.6084/m9.figshare.19802125
title: Bioelectrical impedance vector analysis in Malawi – Anonymised analysis data

description: Anonymous analysis dataset used for Dunning et al, "Bioelectrical impedance vector analysis as an indicator of malnutrition in children under-five years with and without pneumonia in Mchinji District Malawi – An exploratory mixed-methods analysis"
DOI: 10.6084/m9.figshare.19802125.v1
title: Bioelectrical impedance vector analysis in Malawi – Anonymised analysis data

description: Anonymous analysis dataset used for Dunning et al, "Bioelectrical impedance vector analysis as an indicator of malnutrition in children under-five years with and without pneumonia in Mchinji District Malawi – An exploratory mixed-methods analysis"
DOI: 10.6084/m9.figshare.20205269
title: Experimental tests with hydrophobic Slippery Liquid-Infused Porous Surface (SLIPS)

description: Test data for hydrophobic SLIPS surface after an extended immersion time
DOI: 10.6084/m9.figshare.20205269.v1
title: Experimental tests with hydrophobic Slippery Liquid-Infused Porous Surface (SLIPS)

description: Test data for hydrophobic SLIPS surface after an extended immersion time
DOI: 10.5517/ccdc.csd.cc28pjl3
title: CCDC 2106065: Experimental Crystal Structure Determination

description: Related Article: Lan-Qin Zhao, Yun-Li Zhao, Ying-Jie He, Xing-Wei Yang, Xiao-Dong Luo|2022|Org.Lett.|24|4333|doi:10.1021/acs.orglett.2c01421
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6475675
title: DeepFish Dataset (April 2022 update)

description: Image bank of fish trays collected in the wholesale fish market in El Campello (Alicante, Spain) by artisanal fishing belonging to the DeepFish project. The original fish tray images are provided in the "<strong>fish_tray_images_2021_<em>MM</em>_<em>DD</em>.zip</strong>" files. MM and DD stand for the month and <em>initial</em> day (e.g. 04_01 stands for the first of April and subsequent days, and 05_17 stands for the 17th of May, and subsequent days until the end of the month). The last zip file of this kind, <strong>2021_06-09</strong>, contains all images from June to September. JSON files (in <strong>fish_tray_json_labels.zip</strong>) are prepared to be used with the "Django Labeller" software, but can be converted to any format, e.g. "COCO" which is also provided in the "<strong>coco_format_fish_data.json</strong>" file. Each of these JSON files is composed by an object containing the name of the image and the labels appearing in it. Inside each label, the following information is provided: Type of label. It can be a size (total, diameter of the eye...), tray or fish specie. Class of the label. It means the concrete specie, measurement or tray depending on the type of label. Semantic segmentation represented by one or multiple regions in case of occlusions. Represented by an array of coordinates in the image (x and y). Object_id: Identifier of the label, unique in the entire dataset. Father_object_id: In case this is not the main object (The label with the segmentation of the species). It will point to the identifier (ID) of that main species to which it belongs. It means, if this is the total size, it will point to the fish sized like that. Furthermore, estimated fish sizes are also provided in the "<strong>size_estimation_homography_DeepFish.csv</strong>" file. These size estimations are calculated using homography of the known tray size, to convert from pixel units to centimetres.
DOI: 10.5281/zenodo.6475674
title: DeepFish Dataset (April 2022 update)

description: Image bank of fish trays collected in the wholesale fish market in El Campello (Alicante, Spain) by artisanal fishing belonging to the DeepFish project. The original fish tray images are provided in the "<strong>fish_tray_images_2021_<em>MM</em>_<em>DD</em>.zip</strong>" files. MM and DD stand for the month and <em>initial</em> day (e.g. 04_01 stands for the first of April and subsequent days, and 05_17 stands for the 17th of May, and subsequent days until the end of the month). The last zip file of this kind, <strong>2021_06-09</strong>, contains all images from June to September. JSON files (in <strong>fish_tray_json_labels.zip</strong>) are prepared to be used with the "Django Labeller" software, but can be converted to any format, e.g. "COCO" which is also provided in the "<strong>coco_format_fish_data.json</strong>" file. Each of these JSON files is composed by an object containing the name of the image and the labels appearing in it. Inside each label, the following information is provided: Type of label. It can be a size (total, diameter of the eye...), tray or fish specie. Class of the label. It means the concrete specie, measurement or tray depending on the type of label. Semantic segmentation represented by one or multiple regions in case of occlusions. Represented by an array of coordinates in the image (x and y). Object_id: Identifier of the label, unique in the entire dataset. Father_object_id: In case this is not the main object (The label with the segmentation of the species). It will point to the identifier (ID) of that main species to which it belongs. It means, if this is the total size, it will point to the fish sized like that. Furthermore, estimated fish sizes are also provided in the "<strong>size_estimation_homography_DeepFish.csv</strong>" file. These size estimations are calculated using homography of the known tray size, to convert from pixel units to centimetres.
DOI: 10.5281/zenodo.6561242
title: Martian Frost in HiRISE Observations of Northern Mid-Latitude Craters

description: This dataset contains a labeled set of High Resolution Imaging Science Experiment (HiRISE) image tiles that either do or do not contain visible indications of frost presence. The dataset was created using Labelbox to draw polygonal annotations over subframes extracted from HiRISE observations. Then, each subframe was broken into 299x299 pixel tiles at 0.5 m/pixel resolution, and a majority vote across annotations is used to determine whether each tile is given a "frost," "background," or "ambiguous" label. Ambiguous labels are assigned if there is not a majority agreement about the label of the tile given the polygons. All tiles from "background" subframes (taken during summer months when no frost is present) are assigned a "background" label. Corresponding to each tile is a JSON label file containing metadata from overlapping annotations. There is also a TensorFlow TFRecord object saved for each subframe that contains the set of all tiles extracted from that subrame.
description: {"references": ["Alfred McEwen. 2007. Mars Reconnaissance Orbiter High Resolution Imaging Science Experiment, Reduced Data Record, MRO-M-HIRISE-3-RDR-V1.1. NASA Planetary Data System."]}
DOI: 10.5281/zenodo.6561241
title: Martian Frost in HiRISE Observations of Northern Mid-Latitude Craters

description: This dataset contains a labeled set of High Resolution Imaging Science Experiment (HiRISE) image tiles that either do or do not contain visible indications of frost presence. The dataset was created using Labelbox to draw polygonal annotations over subframes extracted from HiRISE observations. Then, each subframe was broken into 299x299 pixel tiles at 0.5 m/pixel resolution, and a majority vote across annotations is used to determine whether each tile is given a "frost," "background," or "ambiguous" label. Ambiguous labels are assigned if there is not a majority agreement about the label of the tile given the polygons. All tiles from "background" subframes (taken during summer months when no frost is present) are assigned a "background" label. Corresponding to each tile is a JSON label file containing metadata from overlapping annotations. There is also a TensorFlow TFRecord object saved for each subframe that contains the set of all tiles extracted from that subrame.
description: {"references": ["Alfred McEwen. 2007. Mars Reconnaissance Orbiter High Resolution Imaging Science Experiment, Reduced Data Record, MRO-M-HIRISE-3-RDR-V1.1. NASA Planetary Data System."]}
DOI: 10.6084/m9.figshare.16799773.v1
title: Data Self-prescription for covid prevention Mexico 2021

description: Datos no representativos de población del noreste de México, se recomienda usar los los referentes a estudiantes del noreste de Mexico.
DOI: 10.6084/m9.figshare.16799773
title: Data Self-prescription for covid prevention Mexico 2021

description: Datos no representativos de población del noreste de México, se recomienda usar los los referentes a estudiantes del noreste de Mexico.
DOI: 10.6084/m9.figshare.20205353
title: Datos crudos automedicación para prevenir COVID-19 en estudiantes universitarios del noreste de México, 2021

description: Respuestas sobre automedicación para prevenir la infección por covid-19 en estudiantesde la UANL, Mexico.
DOI: 10.6084/m9.figshare.20205353.v1
title: Datos crudos automedicación para prevenir COVID-19 en estudiantes universitarios del noreste de México, 2021

description: Respuestas sobre automedicación para prevenir la infección por covid-19 en estudiantesde la UANL, Mexico.
DOI: 10.5281/zenodo.6784501
title: Supplementary data to: Climate change threatens terrestrial water storage over the Tibetan Plateau

description: This data archive includes the boundary of the Tibetan Plateau (TP) and river basins, and projected changes in terrestrial water storage by the mid-21<sup>st</sup> century (up to 2060). The boundary of the TP and river basins is in the shapefile (.shp) format, and all other processed data are in the geotiff (.tif) format. Please see Readme for more data information. For calculation details please see the publication.
DOI: 10.5281/zenodo.6784500
title: Supplementary data to: Climate change threatens terrestrial water storage over the Tibetan Plateau

description: This data archive includes the boundary of the Tibetan Plateau (TP) and river basins, and projected changes in terrestrial water storage by the mid-21<sup>st</sup> century (up to 2060). The boundary of the TP and river basins is in the shapefile (.shp) format, and all other processed data are in the geotiff (.tif) format. Please see Readme for more data information. For calculation details please see the publication.
DOI: 10.6084/m9.figshare.20205350
title: Particle Image Velocimetry Data for Pulsatile Flow past Rectangular Open Cavity

description: Data set and media collection for PIV measurement of pulsatile flow past open cavity with rectangular shape
DOI: 10.6073/pasta/836360dce9311130383c9672e836d640
title: Daily phenocam image data and derived timeseries for global change experiments at the Jornada Basin LTER site, 2014-2020

description: This dataset contains daily data extracted from phenocams installed at a global exchange experiment involving Chihuahuan desert plant communities at the Jornada Basin LTER site in southern New Mexico, U.S.A. Cycles of plant growth, termed phenology, are tightly linked to environmental controls, and our overarching objective in this study is to determine if temperature or precipitation are relatively more important for determining shrub and grass greenup date (start of season) and senescence date (end of season). At these camera locations, we experimentally manipulated incoming precipitation at the Jornada Basin LTER for over a decade and recorded plant leaf phenology at the daily scale for seven years using phenocams. The data included here comes from phenocams installed in two ongoing studies at the Jornada Basin LTER site, one studying ecosystem responses to long term changes in water and nitrogen availability, and one studying plant productivity and partitioning responses to water availability and herbivory (studies 349 and 456, respectively). Phenocams at the sites have collected images since 2014, and this dataset includes color values extracted from shrub and grass regions in these images. Further analyses, including daily values of calculated greenness (green chromatic coordinate), precipitation, and temperature, for all the plots included in the study are in EDI dataset knb-lter-jrn.210574002. This study is ongoing.
DOI: 10.6073/pasta/d327a77f6474131db8aa589011e29c29
title: Observed phenological indicators and environmental drivers at global change experiments at the Jornada Basin LTER site, 2014-2020

description: This dataset contains plant phenological data extracted from phenocams installed at a global exchange experiment involving Chihuahuan desert plant communities at the Jornada Basin LTER site in southern New Mexico, U.S.A. Cycles of plant growth, termed phenology, are tightly linked to environmental controls, and our overarching objective in this study is to determine if temperature or precipitation are relatively more important for determining shrub and grass greenup date (start of season) and senescence date (end of season). At these camera locations, we experimentally manipulated incoming precipitation at the Jornada Basin LTER for over a decade and recorded plant leaf phenology at the daily scale for seven years using phenocams. The data here are derived from raw "phenocam" camera data collected at two ongoing studies at the Jornada Basin LTER site, one studying ecosystem responses to long term changes in water and nitrogen availability, and one studying plant productivity and partitioning responses to water availability and herbivory (studies 349 and 456, respectively). Phenocams at the sites have collected images since 2014, and basic color and greenness data extracted from those images are available in a companion dataset on EDI (knb-lter-jrn.210574001). This dataset includes the derived annual and quarterly phenological indices and greenness indices for each plot monitored by phenocams, and temperature and precipitation variables aggregated to the same frequency. The dataset also includes R code and input files used to generate these derived data. See Currier and Sala 2022 for more details. This study is ongoing.
DOI: 10.6084/m9.figshare.16679587
title: Women in OSS - Literature Review

description: Supplemental material about the paper filtering in each phase of the systematic mapping study
DOI: 10.6084/m9.figshare.16679587.v2
title: Women in OSS - Literature Review

description: Supplemental material about the paper filtering in each phase of the systematic mapping study
DOI: 10.6084/m9.figshare.16679587.v1
title: Women in OSS - Literature Review

description: Supplemental material about the paper filtering in each phase of the systematic mapping study
DOI: 10.5281/zenodo.6784449
title: Trained model for rrQNet

description: Trained model for the rrQNet. Datasets and software can be found at https://github.com/Bhattacharya-Lab/rrQNet
description: Trained model
DOI: 10.5281/zenodo.6784448
title: Trained model for rrQNet

description: Trained model for the rrQNet. Datasets and software can be found at https://github.com/Bhattacharya-Lab/rrQNet
description: Trained model
DOI: 10.5517/ccdc.csd.cc25j05x
title: CCDC 2011378: Experimental Crystal Structure Determination

description: Related Article: Rajagopal Pothikumar, Chandrasekaran Sivaraj, Kayambu Giridharan, Mahesh Kumar Ravva, Kayambu Namitharan|2022|Org.Lett.|24|4310|doi:10.1021/acs.orglett.2c01180
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29lckv
title: CCDC 2132817: Experimental Crystal Structure Determination

description: Related Article: Reza Abazari, Ali Reza Amani-Ghadim, Alexandra M. Z. Slawin, Cameron L. Carpenter-Warren, Alexander M. Kirillov|2022|Inorg.Chem.|61|9514|doi:10.1021/acs.inorgchem.2c00542
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b4vly
title: CCDC 2149620: Experimental Crystal Structure Determination

description: Related Article: Anastasia Klimash, Antonio Prlj, Dmitry S. Yufit, Abhijit Mallick, Basile F. E. Curchod, Paul R. McGonigal, Peter J. Skabara, Marc K. Etherington|2022|J.Mater.Chem.C|10|9484|doi:10.1039/D2TC01737G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b4vmz
title: CCDC 2149621: Experimental Crystal Structure Determination

description: Related Article: Anastasia Klimash, Antonio Prlj, Dmitry S. Yufit, Abhijit Mallick, Basile F. E. Curchod, Paul R. McGonigal, Peter J. Skabara, Marc K. Etherington|2022|J.Mater.Chem.C|10|9484|doi:10.1039/D2TC01737G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.