cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/ar6.c6sparte
title: IPCC DDC: AS-RCEC TaiESM1.0 model output prepared for CMIP6 ScenarioMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.AS-RCEC.TaiESM1' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The Taiwan Earth System Model 1.0 climate model, released in 2018, includes the following components: aerosol: SNAP (same grid as atmos), atmos: TaiAM1 (0.9x1.25 degree; 288 x 192 longitude/latitude; 30 levels; top level ~2 hPa), atmosChem: SNAP (same grid as atmos), land: CLM4.0 (same grid as atmos), ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4. The model was run by the Research Center for Environmental Changes, Academia Sinica, Nankang, Taipei 11529, Taiwan (AS-RCEC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 100 km, seaIce: 50 km.
DOI: 10.34740/kaggle/dsv/6230578
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.21227/aych-7e96
title: Sentinel 2 data cube - 92 scenes over Switzerland spanning 5 years

description: The Sentinel-2 multispectral data cube includes 92 scenes  (411 x 509) across Switzerland, T32TLT, between 2018 and 2022, all band at 10m resolution The area of interest shows a diverse landscape, including regions covered by forests that have undergone changes, agriculture and urban areas. Data sampling across the data cube is not uniform, in each year there are 4 cloud-free scenes in July and no scenes in January or December. The  Sentinel-2 data cube benefits from the super-resolution mechanism implemented in [1] based on fully convolutional neural networks (CNNs) for up-sampling the low-resolution spectral bands of Sentinel-2 satellites up to 10m spatial resolution.  [1] V. Vasilescu, M. Datcu and D. Faur, "A CNN-Based Sentinel-2 Image Super-Resolution Method Using Multiobjective Training", IEEE Trans. Geosci. Remote Sens., vol. 61, pp. 1-14, Jan. 2023.
DOI: 10.5281/zenodo.8182838
title: Needle Langmuir Probe - guard and boom effects

description: The dataset includes two distinct simulation setups named "LG_experiment" and "RG_RP_experiment". A detailed explanation of the datasets is given in the article "Effects of Guard and Boom on Needle Langmuir Probes Studied With Particle in Cell Simulations" The naming convention of the included folders is a description of the simulation contained within with the convention following the order: probe length (Lp) probe radius (Rp) length of guard (Lg) guard radius (Rg) probe voltage (Vp) boom voltage (Vb). Each descriptor has a numeric value with three numbers where the last is the first decimal, eg 010 corresponds to 1.0. All lengths are given in Debye Lengths. The LG_experiment is a simulation setup where all parameters are fixed except the guard length, to investigate the effects of the guard length on the cylindrical Langmuir probe. The RG_RP_experiment is a simulation setup where all parameters are fixed except the guard radius, to investigate the effects of the guard radius on the cylindrical Langmuir probe. Two guard radii are included. Each simulation folder contains three data files. The pictetra.hst file which is the history of the probe-guard-boom system. The index values 0,1,2 correspond to the probe,guard and boom respectively. (see the included plot.py). The scc*.vtk files contain surface values on the probe-guard-boom system, and the pictetra*.vtk files contain plasma values through the simulated domain. A minimal python example for plotting the currents is included in the file "plot.py".
DOI: 10.5281/zenodo.8182837
title: Needle Langmuir Probe - guard and boom effects

description: The dataset includes two distinct simulation setups named "LG_experiment" and "RG_RP_experiment". A detailed explanation of the datasets is given in the article "Effects of Guard and Boom on Needle Langmuir Probes Studied With Particle in Cell Simulations" The naming convention of the included folders is a description of the simulation contained within with the convention following the order: probe length (Lp) probe radius (Rp) length of guard (Lg) guard radius (Rg) probe voltage (Vp) boom voltage (Vb). Each descriptor has a numeric value with three numbers where the last is the first decimal, eg 010 corresponds to 1.0. All lengths are given in Debye Lengths. The LG_experiment is a simulation setup where all parameters are fixed except the guard length, to investigate the effects of the guard length on the cylindrical Langmuir probe. The RG_RP_experiment is a simulation setup where all parameters are fixed except the guard radius, to investigate the effects of the guard radius on the cylindrical Langmuir probe. Two guard radii are included. Each simulation folder contains three data files. The pictetra.hst file which is the history of the probe-guard-boom system. The index values 0,1,2 correspond to the probe,guard and boom respectively. (see the included plot.py). The scc*.vtk files contain surface values on the probe-guard-boom system, and the pictetra*.vtk files contain plasma values through the simulated domain. A minimal python example for plotting the currents is included in the file "plot.py".
DOI: 10.25824/redu/nu0i28
title: interaction_diagram.jpg

description: Interaction diagram of the GloveBot artifact. GloveBot enables the user to control the Robot Car using hand gestures transmitted through Controller Gloves via Wireless communication. The artifact has four Controller Gloves for the following movements: forward, backward, turn left and turn right. Each glove can only transmit a single movement and to carry out all movements, it requires the participation of four users.
DOI: 10.25824/redu/8ydgd3
title: GloveBot_artifact.png

description: Photo of the GloveBot artifact. It consists of the Robot Car and four Controller Gloves for the following movements: backward, turn right, forward and turn left; and they are colored: green, white, pink and black respectively.
DOI: 10.25824/redu/y6smsk
title: workshop_description.pdf

description: Description of activities carried out during the “GloveBot Workshop”.
DOI: 10.25824/redu/itpaeu
title: workshop_planning.pdf

description: Planning document and schedule of the “GloveBot Workshop”.
DOI: 10.25824/redu/7cgzzz
title: photo_workshop_4.jpg

description: Anonymized photo of the “GloveBot Workshop”.
DOI: 10.25824/redu/qxiebn
title: photo_workshop_5.jpg

description: Anonymized photo of the “GloveBot Workshop”.
DOI: 10.25824/redu/huktfq
title: photo_workshop_3.jpg

description: Anonymized photo of the “GloveBot Workshop”.
DOI: 10.25824/redu/bcl2tq
title: photo_workshop_2.jpg

description: Anonymized photo of the “GloveBot Workshop”.
DOI: 10.25824/redu/8noxnq
title: photo_workshop_1.jpg

description: Anonymized photo of the “GloveBot Workshop”.
DOI: 10.25824/redu/vpib07
title: GloveBot_workshop_photo1.jpg

description: Anonymized photo of the “GloveBot Workshop”.
DOI: 10.25824/redu/vqa6vc
title: GloveBot_workshop_photo2.jpg

description: Anonymized photo of the “GloveBot Workshop”.
DOI: 10.25824/redu/20sg1r
title: GloveBot_workshop_photo3.jpg

description: Anonymized photo of the “GloveBot Workshop”.
DOI: 10.25824/redu/oiamqa
title: GloveBot_workshop_photo4.jpg

description: Anonymized photo of the “GloveBot Workshop”.
DOI: 10.25824/redu/1hhjcq
title: GloveBot_workshop_photo5.jpg

description: Anonymized photo of the “GloveBot Workshop”.
DOI: 10.25824/redu/ffinst
title: GloveBot_source_code.7z

description: GloveBot software version 1.0 programmed in Arduino IDE 1.8.19. GitLab: https://gitlab.ic.unicamp.br/ra144691/glovebot
DOI: 10.25824/redu/kco3re
title: workshop_transcription.pdf

description: Anonymized transcription of the dialogues and actions of the children during the “GloveBot workshop”
DOI: 10.25824/redu/1zsbbu
title: Dataset associated with the “GloveBot workshop”

description: The "GloveBot Workshop” is part of the set of workshops entitled "Wearable Interfaces, Robotics and Creative Learning", which aim to investigate creative learning with preschool children through socioenactive interaction. This workshop is part of the Socioenactive Systems FAPESP Thematic Project #2015/16528-0. The Socioenactive Systems Project is approved by the Unicamp Ethical Committee under the number CAAE 72413817.3.0000.5404. This dataset contains source code of the GloveBot artifact, a photo of the artifact and a image of its interaction diagram. Also, description and planning documents, a anonymized transcription and anonymized photos of the "GloveBot Workshop".
DOI: 10.5281/zenodo.8179292
title: Groundwater Uranium Contamination from Produced Water Disposal to Unlined Ponds in the San Joaquin Valley: Geotracker Data

description: This data was compiled from lab report PDFs on the California Geotracker website. All quarterly and annual PDF reports available for McKittrick 1-1, McKittrick 1 & 1-3, and Race Track Hill were downloaded. Groundwater chemistry data was transcribed into an excel spreadsheet directly from the lab reports within the quarterly and annual reports. The citations and links for each site are listed below. State Water Resources Control Board, 2022a. GeoTracker - Belgian Anticline, McKittrick 1-1 Facility (WDR100037492) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=WDR100037492 (accessed 3.1.22). State Water Resources Control Board, 2022b. GeoTracker - Belgian Anticline, McKittrick 1 & 1-3 Facility (WDR100037491) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=WDR100037491 (accessed 3.1.22). State Water Resources Control Board, 2022c. GeoTracker - Belgian Anticline, McKittrick 1 & 1-3 Facility (L10007494132) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=L10007494132 (accessed 3.1.22). State Water Resources Control Board, 2022d. GeoTracker - Belgian Anticline, McKittrick 1-1 Facility (L10004955136) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=L10004955136 (accessed 3.1.22). State Water Resources Control Board, 2022e. GeoTracker - Edison Oil Field, Race Track Hill Facility (T10000005199) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=T10000005199 (accessed 6.6.22).
DOI: 10.5281/zenodo.8179291
title: Groundwater Uranium Contamination from Produced Water Disposal to Unlined Ponds in the San Joaquin Valley: Geotracker Data

description: This data was compiled from lab report PDFs on the California Geotracker website. All quarterly and annual PDF reports available for McKittrick 1-1, McKittrick 1 & 1-3, and Race Track Hill were downloaded. Groundwater chemistry data was transcribed into an excel spreadsheet directly from the lab reports within the quarterly and annual reports. The citations and links for each site are listed below. State Water Resources Control Board, 2022a. GeoTracker - Belgian Anticline, McKittrick 1-1 Facility (WDR100037492) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=WDR100037492 (accessed 3.1.22). State Water Resources Control Board, 2022b. GeoTracker - Belgian Anticline, McKittrick 1 & 1-3 Facility (WDR100037491) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=WDR100037491 (accessed 3.1.22). State Water Resources Control Board, 2022c. GeoTracker - Belgian Anticline, McKittrick 1 & 1-3 Facility (L10007494132) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=L10007494132 (accessed 3.1.22). State Water Resources Control Board, 2022d. GeoTracker - Belgian Anticline, McKittrick 1-1 Facility (L10004955136) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=L10004955136 (accessed 3.1.22). State Water Resources Control Board, 2022e. GeoTracker - Edison Oil Field, Race Track Hill Facility (T10000005199) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=T10000005199 (accessed 6.6.22).
DOI: 10.26050/wdcc/ar6.c6spawawm
title: IPCC DDC: AWI AWI-CM1.1MR model output prepared for CMIP6 ScenarioMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.AWI.AWI-CM-1-1-MR' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The AWI-CM 1.1 MR climate model, released in 2018, includes the following components: atmos: ECHAM6.3.04p1 (T127L95 native atmosphere T127 gaussian grid; 384 x 192 longitude/latitude; 95 levels; top level 80 km), land: JSBACH 3.20, ocean: FESOM 1.4 (unstructured grid in the horizontal with 830305 wet nodes; 46 levels; top grid cell 0-5 m), seaIce: FESOM 1.4. The model was run by the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany (AWI) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 km.
DOI: 10.5519/qd.ymk02zvc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1098750 records)
DOI: 10.6084/m9.figshare.23815451
title: The Sommerodde (Telychian, Silurian) positive carbon isotope excursion: why is its magnitude so variable?

description: Organic carbon isotope data from the Jabalón River section, Corral de Calatrava, central Spain.
DOI: 10.6084/m9.figshare.23815451.v1
title: The Sommerodde (Telychian, Silurian) positive carbon isotope excursion: why is its magnitude so variable?

description: Organic carbon isotope data from the Jabalón River section, Corral de Calatrava, central Spain.
DOI: 10.5281/zenodo.8204350
title: panulirus_ornatus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8204349
title: panulirus_ornatus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8204391
title: panulirus_pascuensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8204390
title: panulirus_pascuensis_zanfona_1.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc2g4b87
title: CCDC 2268278: Experimental Crystal Structure Determination

description: Related Article: Damien Bouchet, Elsa Van Elslande, Géraldine Masson|2023|Org.Lett.|25|5395|doi:10.1021/acs.orglett.3c02011
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: 10.26050/wdcc/ar6.c6spbcbcm
title: IPCC DDC: BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.BCC.BCC-CSM2-MR' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The BCC-CSM 2 MR climate model, released in 2017, includes the following components: atmos: BCC_AGCM3_MR (T106; 320 x 160 longitude/latitude; 46 levels; top level 1.46 hPa), land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 km.
DOI: 10.21227/ak2s-7a22
title: labeled Intraveneous (IV) infusion container images

description: We generated an IV fluid-specific dataset to maximize the accuracy of the measurement. We developed our system as a smartphone application, utilizing the internal camera for the nurses or patients. Thus, users should be able to capture the surface of the fluid in the container by adjusting the smartphone's position or angle to reveal the front view of the container. Thus, we collected the front view of the IV fluid containers when generating the training dataset.We captured the IV fluid container in video mode and extracted an image for every 15 frames. To simulate the actual operation, we changed the capturing angle by moving from the front of the container to the sides, closer, away from the container. We captured the images at a nursing practice lab maintained by the Department of Nursing at Konkuk University Glocal Campus in South Korea. The lab was set up as a mock-up of a general hospital’s infirmary, including the actual IV infusion systems. This process resulted in 2,266 images. We used an iPhone 12 capable of capturing images at FHD (1920*1080) or higher quality. The phone was vertically held when capturing the images. Furthermore, we added 370 IV fluid container images to increase the dataset diversity by searching the web using Google. Thus, there were 2,636 images in the dataset at the end. We used Labelme for image labeling. Labelme is an open-source image annotation tool for object recognition, tracking, and segmentation by enabling the labeling of detailed information about images [16]. We annotated the IV infusion container images as either Vessel or Liquid General as masking coordinates, then stored the outcomes in JSON files, which are input to the computer vision system.
DOI: 10.21227/4rxh-h071
title: Dataset of Chenille yarn

description: This dataset collects samples of different kinds of defective and normal chenille yarn images for the same batch of chenille yarn made of polyester material, aiming to facilitate the task of recognizing and classifying chenille yarn defects in computer vision and machine learning algorithms. This dataset consists of a total of 2500 images of 5 major chenille yarn defects and 2500 normal chenille yarn images, totaling 5000 images. It is captured by an industrial camera in the state of chenille yarn movement. In this case, the surface light source was set on the backside of the chenille yarn.
The purpose of classification aims to differentiate between defective and normal chenille yarns on the premise that the classification of chenille yarn defects is improved as much as possible at the same time, in order to achieve the purpose of factory production monitoring and realizing the smart factory.
In summary, this dataset is a valuable resource for researchers and practitioners for the task of detecting chenille yarn yarn defects in the textile industry.
DOI: 10.5281/zenodo.8193605
title: Alliance of Genome Resources Alleles

description: Tab separated formatted spreadsheets of allele annotations from the Alliance of Genome Resources. Files include annotations for Caenorhabditis elegans (nematode; NCBITaxon 6239) Danio rerio (zebrafish;NCBITaxon 7955) Drosophila melanogaster (fruit fly; NCBITaxon 7227) Mus musculus (mouse; NCBITaxon 10090) Rattus norvegicus (rat; NCBITaxon 10116) Saccharomyces cerevisiae (yeast; NCBITaxon 559292 )
description: NIH U24HG010859
DOI: 10.5281/zenodo.8193604
title: Alliance of Genome Resources Alleles

description: Tab separated formatted spreadsheets of allele annotations from the Alliance of Genome Resources. Files include annotations for Caenorhabditis elegans (nematode; NCBITaxon 6239) Danio rerio (zebrafish;NCBITaxon 7955) Drosophila melanogaster (fruit fly; NCBITaxon 7227) Mus musculus (mouse; NCBITaxon 10090) Rattus norvegicus (rat; NCBITaxon 10116) Saccharomyces cerevisiae (yeast; NCBITaxon 559292 )
description: NIH U24HG010859
DOI: 10.5281/zenodo.8204438
title: panulirus_versicolor_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8204437
title: panulirus_versicolor_zanfona_1.fasta.gz

description: .