cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25494/p6kp48
title: North Central Coast: Aerial surveys and classification of San Gregorio Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS San Gregorio orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6g02p
title: North Central Coast: Aerial surveys and classification of San Rafael Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS San Rafael orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6b60r
title: North Central Coast: Aerial surveys and classification of Saunders Reef Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS Saunders Reef orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p66g6j
title: North Central Coast: Aerial surveys and classification of Stewarts Point Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS Stewarts Point orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p62p50
title: North Central Coast: Aerial surveys and classification of Tomales Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS Tomales orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6z01n
title: North Central Coast: Aerial surveys and classification of Valley Ford Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS Valley Ford orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.5281/zenodo.6315941
title: Co-Optimization of Reservoir and Power Systems (COREGS) for Seasonal Planning and Operation

description: Input and output data associated with the paper Co-Optimization of Reservoir and Power Systems (COREGS) for Seasonal Planning and Operation. Can be used with the COREGS model at https://github.com/lcford2/coregs.
DOI: 10.5281/zenodo.6315940
title: Co-Optimization of Reservoir and Power Systems (COREGS) for Seasonal Planning and Operation

description: Input and output data associated with the paper Co-Optimization of Reservoir and Power Systems (COREGS) for Seasonal Planning and Operation. Can be used with the COREGS model at https://github.com/lcford2/coregs.
DOI: 10.5281/zenodo.6316035
title: Ammonite Rocking Dataset

description: This .zip folder contains the physical models used to impart the hydrostatic properties of various ectocochleate cephalopod morphologies (<em>Nautilus pompilius</em>, oxycone, serpenticone, and sphaerocone). Physical models 3D-printed in PETG allow the mass distribution to be calibrated with adjustable counterweights. The folder also contains sample footage of hydrodynamic restoration for the <em>Nautilus </em>model and the serpenticone model.
description: Creative commons attribution - non commercial
DOI: 10.5281/zenodo.6316034
title: Ammonite Rocking Dataset

description: This .zip folder contains the physical models used to impart the hydrostatic properties of various ectocochleate cephalopod morphologies (<em>Nautilus pompilius</em>, oxycone, serpenticone, and sphaerocone). Physical models 3D-printed in PETG allow the mass distribution to be calibrated with adjustable counterweights. The folder also contains sample footage of hydrodynamic restoration for the <em>Nautilus </em>model and the serpenticone model.
description: Creative commons attribution - non commercial
DOI: 10.5281/zenodo.5895264
title: Moana Ocean Hindcast

description: The <strong>Moana Ocean Hindcast </strong>model is a 25+ years 3D hydrodynamic hindcast for New Zealand waters. While this repository contains sample files, the full dataset can be downloaded from the project webpage at https://www.moanaproject.org/<br> Model results are available as hourly and daily average values for temperature, salinity, velocity (u, v, w), and sea surface elevation. A full description of the simulation is provided by Souza <em>et al. </em>(in preparation for submission to <em>Geoscientific Model Development</em>).
DOI: 10.6084/m9.figshare.17089514
title: Impact of delayed processing of positive blood cultures on organism detection

description: Dataset and STATA code underlying this project.
DOI: 10.6084/m9.figshare.17089514.v3
title: Impact of delayed processing of positive blood cultures on organism detection

description: Dataset and STATA code underlying this project.
DOI: 10.6084/m9.figshare.17089514.v2
title: Impact of delayed processing of positive blood cultures on organism detection

description: Dataset and STATA code underlying this project.
DOI: 10.6084/m9.figshare.19252178
title: Seurat_hgl_whole_PB.part2.rar

description: This item comprises 8 libraries as two-part archive: four libs for 3 year-old NMRs (PB2, PB3, PB5, PB7), three for middle-aged [MA; 9-12 year-old] NMRs (PB1, PB4, PB8), and one lib for a 12 year-old Queen.
DOI: 10.6084/m9.figshare.19252178.v1
title: Seurat_hgl_whole_PB.part2.rar

description: This item comprises 8 libraries as two-part archive: four libs for 3 year-old NMRs (PB2, PB3, PB5, PB7), three for middle-aged [MA; 9-12 year-old] NMRs (PB1, PB4, PB8), and one lib for a 12 year-old Queen.
DOI: 10.6084/m9.figshare.19252091
title: Seurat_hgl_whole_PB.part1.rar

description: This item comprises 8 libraries as two-part archive: four libs for 3 year-old NMRs (PB2, PB3, PB5, PB7), three for middle-aged [MA; 9-12 year-old] NMRs (PB1, PB4, PB8), and one lib for a 12 year-old Queen.
DOI: 10.6084/m9.figshare.19252091.v1
title: Seurat_hgl_whole_PB.part1.rar

description: This item comprises 8 libraries as two-part archive: four libs for 3 year-old NMRs (PB2, PB3, PB5, PB7), three for middle-aged [MA; 9-12 year-old] NMRs (PB1, PB4, PB8), and one lib for a 12 year-old Queen.
DOI: 10.5281/zenodo.6316465
title: Interactive study of human PTCD2 protein

description: We investigated the intractome of human PTCD2 protein, a putative key player in non-canonical mitochondrial RNA processing, by Proximity-dependent Biotin Identification (BioID) followed by ESI-LC-MSMS. The dataset includes the results of the Mass spec analysis with detailed reports made by the proteomics core facility, University of Geneva.
DOI: 10.5281/zenodo.6316464
title: Interactive study of human PTCD2 protein

description: We investigated the intractome of human PTCD2 protein, a putative key player in non-canonical mitochondrial RNA processing, by Proximity-dependent Biotin Identification (BioID) followed by ESI-LC-MSMS. The dataset includes the results of the Mass spec analysis with detailed reports made by the proteomics core facility, University of Geneva.
DOI: 10.5281/zenodo.3893967
title: Data for "Wave anomaly detection in wave buoy measurements"

description: Data used for the production of figures in the manuscript "Wave anomaly detection in wave buoy measurements" submitted for review.
DOI: 10.5281/zenodo.3893966
title: Data for "Wave anomaly detection in wave buoy measurements"

description: Data used for the production of figures in the manuscript "Wave anomaly detection in wave buoy measurements" submitted for review.
DOI: 10.5281/zenodo.5340569
title: Artifacts of the paper under review by TSE

description: This is the online repository of <strong>*Predictive Comment Updating with Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach</strong>*, a research paper under review by TSE. We release the source code and relevant data of <strong>Toper</strong>, the data used in our evaluation, as well as the experiment results. <strong>Dataset</strong> Basically, the dataset is from Liu et al.'s ASE20 paper (i.e., Automating Just-In-Time Comment Updating), and then cleaned by Lin et al.'s ICPC21 paper (i.e., Automated Comment Update: How Far are We?). We classify the dataset into code-indicative and non-code-indicative items and store them in <code>Data</code> directory, which is named by the format of <em>[data catagory]_Items_[Dataset].jsonl</em>. For example, <strong>All_Item_Test.jsonl</strong> means this file includes all (i.e., including code-indicative and non-code-indicative) items in the test set. Similarly, <strong>NCIU_Items_Test.json</strong> means this file only covers non-code-indicative items in the test set. <strong>The Code-Indicative Update Classifier</strong> We design a classifier to differentiate the Code-Indicative and Non-Code-Indicative updates. The replication package is available at <strong>Code/TypeClassifier.py</strong>. To obtain the result of the classifier, please run the following command: <pre><code class="language-python">python3 TypeClassifier.py -training/FilePath FeaturesForClassifier/featuresForTrain.csv -testFilePath FeaturesForClassifier/featuresForTest.csv</code></pre> <strong>Operation Path Extractor</strong> The customized tool for extracting operation path from the dataset is provided by previous studies. To obtain the preprocessed data, run the following command: <pre><code class="language-java">java -cp OperationPathExtractor.jar Extractor.App --data_dir path/to/data --input_name semi-finished/data/path --output_name path/to/store/data --num_threads 1 The preprocessed data are stored in Data/Preprocessed.</code></pre> <strong>The Non-Code-Indicative Comment Updater</strong> Our replication code is available at <code>Code</code>, and the detail instructions of command are at <code>comment_update.py</code>. Or you can simply execute the following command: <pre><code class="language-python">python3 comment_update.py -data_path path/to/data -gpu -use_features</code></pre>
DOI: 10.5281/zenodo.5340568
title: Artifacts of the paper under review by TSE

description: This is the online repository of <strong>*Predictive Comment Updating with Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach</strong>*, a research paper under review by TSE. We release the source code and relevant data of <strong>Toper</strong>, the data used in our evaluation, as well as the experiment results. <strong>Dataset</strong> Basically, the dataset is from Liu et al.'s ASE20 paper (i.e., Automating Just-In-Time Comment Updating), and then cleaned by Lin et al.'s ICPC21 paper (i.e., Automated Comment Update: How Far are We?). We classify the dataset into code-indicative and non-code-indicative items and store them in <code>Data</code> directory, which is named by the format of <em>[data catagory]_Items_[Dataset].jsonl</em>. For example, <strong>All_Item_Test.jsonl</strong> means this file includes all (i.e., including code-indicative and non-code-indicative) items in the test set. Similarly, <strong>NCIU_Items_Test.json</strong> means this file only covers non-code-indicative items in the test set. <strong>The Code-Indicative Update Classifier</strong> We design a classifier to differentiate the Code-Indicative and Non-Code-Indicative updates. The replication package is available at <strong>Code/TypeClassifier.py</strong>. To obtain the result of the classifier, please run the following command: <pre><code class="language-python">python3 TypeClassifier.py -training/FilePath FeaturesForClassifier/featuresForTrain.csv -testFilePath FeaturesForClassifier/featuresForTest.csv</code></pre> <strong>Operation Path Extractor</strong> The customized tool for extracting operation path from the dataset is provided by previous studies. To obtain the preprocessed data, run the following command: <pre><code class="language-java">java -cp OperationPathExtractor.jar Extractor.App --data_dir path/to/data --input_name semi-finished/data/path --output_name path/to/store/data --num_threads 1 The preprocessed data are stored in Data/Preprocessed.</code></pre> <strong>The Non-Code-Indicative Comment Updater</strong> Our replication code is available at <code>Code</code>, and the detail instructions of command are at <code>comment_update.py</code>. Or you can simply execute the following command: <pre><code class="language-python">python3 comment_update.py -data_path path/to/data -gpu -use_features</code></pre>