cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4598095
title: Pennsylvania State Game Lands 261-280 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 261-280 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 82.8 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4598088
title: Pennsylvania State Game Lands 251-260 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 251-260 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 9.65 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4598045
title: Pennsylvania State Game Lands 201-250 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: These ZIP files contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 201-250 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 74.8 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4597994
title: Pennsylvania State Game Lands 161-200 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: These ZIP files contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 161-200 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 43.2 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4598044
title: Pennsylvania State Game Lands 201-250 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: These ZIP files contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 201-250 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 74.8 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4597993
title: Pennsylvania State Game Lands 161-200 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: These ZIP files contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 161-200 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 43.2 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4596903
title: Pennsylvania State Game Lands 12-50 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: These ZIP files contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 12-50 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 71.7 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4597941
title: Pennsylvania State Game Lands 111-160 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 111-160 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 61.9 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4596902
title: Pennsylvania State Game Lands 12-50 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: These ZIP files contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 12-50 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 71.7 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4597940
title: Pennsylvania State Game Lands 111-160 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 111-160 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 61.9 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4597943
title: Pennsylvania State Game Lands 81-110 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 81-110 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 95.9 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4597896
title: Pennsylvania State Game Lands 51-80 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 51-80 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 79.3 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4597942
title: Pennsylvania State Game Lands 81-110 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 81-110 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 95.9 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4597895
title: Pennsylvania State Game Lands 51-80 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 51-80 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 79.3 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4593518
title: Pennsylvania SGL with 1km buffer (Shapefile)

description: This (zipped) shapefile is derived from the State Game Land (SGL) vector files provided by the state of Pennsylvania (http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=86). A 1 km buffer was added in QGIS. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5281/zenodo.4593517
title: Pennsylvania SGL with 1km buffer (Shapefile)

description: This (zipped) shapefile is derived from the State Game Land (SGL) vector files provided by the state of Pennsylvania (http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=86). A 1 km buffer was added in QGIS. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5281/zenodo.4593747
title: Initial predictions Mask R-CNN (GeoJSON)

description: This vector file (in GeoJSON format) is the results of the Mask-CNN analysis. For additional information, please see https://zenodo.org/deposit/4593788
DOI: 10.5281/zenodo.4593746
title: Initial predictions Mask R-CNN (GeoJSON)

description: This vector file (in GeoJSON format) is the results of the Mask-CNN analysis. For additional information, please see https://zenodo.org/deposit/4593788
DOI: 10.5281/zenodo.4593734
title: Initial predictions Mask R-CNN (shapefile)

description: This vector file (in zipped shapefile format) is the results of the Mask-CNN analysis. For additional information, please see https://zenodo.org/deposit/4593788
DOI: 10.5281/zenodo.4593733
title: Initial predictions Mask R-CNN (shapefile)

description: This vector file (in zipped shapefile format) is the results of the Mask-CNN analysis. For additional information, please see https://zenodo.org/deposit/4593788
DOI: 10.5281/zenodo.4593767
title: Final Product of Mask R-CNN prediction of RCH in SGL in PA

description: This is the final result of using Mask R-CNN to predict the location of relict charcoal hearths (RCH) in and near State Game Lands throughout Pennsylvania. Please note that only those RCHs falling into one (or more) of the three cluster analyses is considered to be a likely true positive (i.e., an actual charcoal hearth). That is, where ClusterCT =0. Variables: id= unique identifier starting with 3-digit SGL number, PAN or PAS (projections) and, within those a unique four-digit identifier<br> score= confidence score<br> SGL= State Game Land number<br> SGLImage= name of TIFF file of merged lidar tiles<br> Confirm= Whether the predicted hearth was determined, through visual inspection, to be a likely true positive (Y) or a false positive (N)<br> Bin#- in assessing these predictions we “binned” the results based upon the confidence score.<br> Bin_select= 1 if this record (predicted RCH) was selected for assessment within that bin<br> TrainID= Original ID of the training data (only training data that matched with a prediction are included). <br> Clusters5_300= resultant clusters from DBSCAN where minimum cluster size= 5 and maximum distance= 300 meters<br> Clusters10_500= resultant clusters from DBSCAN where minimum cluster size= 10 and maximum distance= 500 meters<br> Clusters20_1000= resultant clusters from DBSCAN where minimum cluster size= 20 and maximum distance= 1000 meters<br> CLUSTERCT = How many of the above clusters included the predicted RCH (0-3). Derived from the previous three variables. <br> 3Cluster= whether or not this predicted RCH was included in all three clusters. For additional information, please see https://zenodo.org/deposit/4593788 .
DOI: 10.5281/zenodo.4593766
title: Final Product of Mask R-CNN prediction of RCH in SGL in PA

description: This is the final result of using Mask R-CNN to predict the location of relict charcoal hearths (RCH) in and near State Game Lands throughout Pennsylvania. Please note that only those RCHs falling into one (or more) of the three cluster analyses is considered to be a likely true positive (i.e., an actual charcoal hearth). That is, where ClusterCT =0. Variables: id= unique identifier starting with 3-digit SGL number, PAN or PAS (projections) and, within those a unique four-digit identifier<br> score= confidence score<br> SGL= State Game Land number<br> SGLImage= name of TIFF file of merged lidar tiles<br> Confirm= Whether the predicted hearth was determined, through visual inspection, to be a likely true positive (Y) or a false positive (N)<br> Bin#- in assessing these predictions we “binned” the results based upon the confidence score.<br> Bin_select= 1 if this record (predicted RCH) was selected for assessment within that bin<br> TrainID= Original ID of the training data (only training data that matched with a prediction are included). <br> Clusters5_300= resultant clusters from DBSCAN where minimum cluster size= 5 and maximum distance= 300 meters<br> Clusters10_500= resultant clusters from DBSCAN where minimum cluster size= 10 and maximum distance= 500 meters<br> Clusters20_1000= resultant clusters from DBSCAN where minimum cluster size= 20 and maximum distance= 1000 meters<br> CLUSTERCT = How many of the above clusters included the predicted RCH (0-3). Derived from the previous three variables. <br> 3Cluster= whether or not this predicted RCH was included in all three clusters. For additional information, please see https://zenodo.org/deposit/4593788 .
DOI: 10.5281/zenodo.4593622
title: Manually Recognized Charcoal Hearths for Training Mask R-CNN (GeoJSON)

description: This is a vector file (in GeoJSON format) of manually identified charcoal hearths. This was used to train Mask R-CNN to recognize additional relict charcoal hearths. For additional information, please see https://zenodo.org/deposit/4593788
DOI: 10.5281/zenodo.4593621
title: Manually Recognized Charcoal Hearths for Training Mask R-CNN (GeoJSON)

description: This is a vector file (in GeoJSON format) of manually identified charcoal hearths. This was used to train Mask R-CNN to recognize additional relict charcoal hearths. For additional information, please see https://zenodo.org/deposit/4593788
DOI: 10.5281/zenodo.4593605
title: Manually Recognized Charcoal Hearths for Training Mask R-CNN (Shapefile)

description: This is a vector file (in shapefile format) of manually identified charcoal hearths. This was used to train Mask R-CNN to recognize additional relict charcoal hearths. For additional information, please see https://zenodo.org/deposit/4593788
DOI: 10.5281/zenodo.4593604
title: Manually Recognized Charcoal Hearths for Training Mask R-CNN (Shapefile)

description: This is a vector file (in shapefile format) of manually identified charcoal hearths. This was used to train Mask R-CNN to recognize additional relict charcoal hearths. For additional information, please see https://zenodo.org/deposit/4593788
DOI: 10.5281/zenodo.4593491
title: Merged PA grid with SGL number (Shapefile)

description: Tiles used in analysis to detect relict charcoal hearths in Pennsylvania State Game Lands. For additional information, please see https://zenodo.org/deposit/4593788 .
DOI: 10.5281/zenodo.4593490
title: Merged PA grid with SGL number (Shapefile)

description: Tiles used in analysis to detect relict charcoal hearths in Pennsylvania State Game Lands. For additional information, please see https://zenodo.org/deposit/4593788 .
DOI: 10.5281/zenodo.4593540
title: Pennsylvania SGL with 1km buffer (GEOJSON)

description: This is a GeoJSON version of this dataset- https://zenodo.org/deposit/4593518 This GeoJSON file is derived from the State Game Land (SGL) vector files provided by the state of Pennsylvania (http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=86). A 1 km buffer was added in QGIS. For additional information, please see https://zenodo.org/deposit/4593788 .
DOI: 10.5281/zenodo.4593539
title: Pennsylvania SGL with 1km buffer (GEOJSON)

description: This is a GeoJSON version of this dataset- https://zenodo.org/deposit/4593518 This GeoJSON file is derived from the State Game Land (SGL) vector files provided by the state of Pennsylvania (http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=86). A 1 km buffer was added in QGIS. For additional information, please see https://zenodo.org/deposit/4593788 .
DOI: 10.5281/zenodo.4593572
title: Merged PA grid with SGL number (GeoJSON)

description: Tiles used in analysis to detect relict charcoal hearths in Pennsylvania State Game Lands (in GeoJSON format). For additional information, please see https://zenodo.org/deposit/4593788 .
DOI: 10.5281/zenodo.4593571
title: Merged PA grid with SGL number (GeoJSON)

description: Tiles used in analysis to detect relict charcoal hearths in Pennsylvania State Game Lands (in GeoJSON format). For additional information, please see https://zenodo.org/deposit/4593788 .
DOI: 10.25400/lincolnuninz.14569953
title: Raw Data_Electrospun membranes as a porous barrier for molecular transport membrane characterization and release assessment.xlsx

description: Electrospun nanofibers have been extensively studied for drug release from the inside of the fibres, but have been barely looked at for their potential to control release as a semi-permeable membrane. This study investigated molecular transport behaviours across nanofiber membranes with different micro-structure sizes and compositions. Four types of membranes made by 5% and 10% PCL solutions either electro-spun with or without calcium carbonate (CaCO<sub>3</sub>) nanoparticle were tested for membrane morphology, porosity, tensile strength, contact angle of water and their impacts on molecular transport behaviours. The presence of CaCO<sub>3</sub> nanoparticles made the 5% membranes stronger but the 10% membranes weaker due to the different locations of the nanoparticles with the corresponding fibres. Solute transport studies found the 5% membranes can further retard release from the 10% membranes, regardless of only half the amount of material being used for synthesis. The addition of CaCO<sub>3</sub> nanoparticles aided the water permeation process and accelerated the initial transport. The difference in release profiles between 5% and 10% membranes suggests different release mechanisms, with membrane-permeability dominated release for 5% PCL membranes and solute-concentration-gradient dominated release for 10% PCL membranes.
DOI: 10.25400/lincolnuninz.14569953.v1
title: Raw Data_Electrospun membranes as a porous barrier for molecular transport membrane characterization and release assessment.xlsx

description: Electrospun nanofibers have been extensively studied for drug release from the inside of the fibres, but have been barely looked at for their potential to control release as a semi-permeable membrane. This study investigated molecular transport behaviours across nanofiber membranes with different micro-structure sizes and compositions. Four types of membranes made by 5% and 10% PCL solutions either electro-spun with or without calcium carbonate (CaCO<sub>3</sub>) nanoparticle were tested for membrane morphology, porosity, tensile strength, contact angle of water and their impacts on molecular transport behaviours. The presence of CaCO<sub>3</sub> nanoparticles made the 5% membranes stronger but the 10% membranes weaker due to the different locations of the nanoparticles with the corresponding fibres. Solute transport studies found the 5% membranes can further retard release from the 10% membranes, regardless of only half the amount of material being used for synthesis. The addition of CaCO<sub>3</sub> nanoparticles aided the water permeation process and accelerated the initial transport. The difference in release profiles between 5% and 10% membranes suggests different release mechanisms, with membrane-permeability dominated release for 5% PCL membranes and solute-concentration-gradient dominated release for 10% PCL membranes.
DOI: 10.6084/m9.figshare.14588598
title: Cu@ZnFe2O4.csv

description: Pairs of complex relative permittivity and permeability together with the scattering parameters <i>s<sub>11</sub></i> and <i>s<sub>21</sub></i> measured at different frequencies for Cu@ZnFe<sub>2</sub>O<sub>4 </sub>which can be used for the verification of the Quarter-Wavelength-Model and many more.
DOI: 10.5517/ccdc.csd.cc26zbwf
title: CCDC 2054955: Experimental Crystal Structure Determination

description: Related Article: Julia A. Brown, Alexandra L. Chaparro, Leah C. McCarthy, Sophia C. Moniodes, Erin E. Ostrowski, Maria E. Carroll|2021|Polyhedron|203|115168|doi:10.1016/j.poly.2021.115168
DOI: 10.5281/zenodo.4766418
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.34740/kaggle/dsv/2238650
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.4766422
title: Subset of model data for the research paper Sakaguchi et al., "Determining Spatial Scales of Soil Moisture – Cloud Coupling Pathways using Semi-Idealized Simulations"

description: A subset of post-processed simulation data used for the research paper Sakaguchi et al., "Determining Spatial Scales of Soil Moisture – Cloud Coupling Pathways using Semi-Idealized Simulations", submitted to JGR-Atmospheres. More complete set of analysis data and raw model outputs are available from the National Energy Research Scientific Computing Center (NERSC) Science Gateway (https://portal.nersc.gov/cfs/m1660/ksa/sharing/JGR-Atmo_SM-scale/). The dataset will be updated along with additional descriptions after peer-review.
DOI: 10.5281/zenodo.4766421
title: Subset of model data for the research paper Sakaguchi et al., "Determining Spatial Scales of Soil Moisture – Cloud Coupling Pathways using Semi-Idealized Simulations"

description: A subset of post-processed simulation data used for the research paper Sakaguchi et al., "Determining Spatial Scales of Soil Moisture – Cloud Coupling Pathways using Semi-Idealized Simulations", submitted to JGR-Atmospheres. More complete set of analysis data and raw model outputs are available from the National Energy Research Scientific Computing Center (NERSC) Science Gateway (https://portal.nersc.gov/cfs/m1660/ksa/sharing/JGR-Atmo_SM-scale/). The dataset will be updated along with additional descriptions after peer-review.