cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3154051.v1
title: Data for PLOS paper.xls

description: Crop raiding by wild herbivores close to an area of protected wildlife is a serious problem that can potentially undermine conservation efforts. Since there is orders of magnitude difference between farmers’ perception of damage and the compensation given by the government, an objective and realistic estimate of damage was found essential. We employed four different approaches to estimate the extent of and patterns in crop damage by wild herbivores along the western boundary of Tadoba-Andhari Tiger Reserve in the state of Maharashtra, central India. These approaches highlight different aspects of the problem but converge on an estimated damage of over 50% for the fields adjacent to the forest, gradually reducing in intensity with distance. We found that the visual damage assessment method currently employed by the government for paying compensation to farmers was uncorrelated to and grossly underestimated actual damage. The findings necessitate a radical rethinking of policies to assess, mitigate as well as compensate for crop damage caused by protected wildlife species.
DOI: 10.6084/m9.figshare.3153967
title: Population scenarios for Central Germany_Spatial datasets

description: Dear users,<br>this dataset contains the 500m base grid for Central Germany as an ARCGIS shapefile in which all pixels have a uniqui ID.<br>Please use this ID to link the spatial data (=grid) to the scenario tables, which are provided in the EXCEL file. Please read the read_me in the EXCEL file for more details on the data provided therein.<br>Scenarios have been calculated with the SITE model using among other inputs 2 other figshare dadatsets:<br><br>Population scenarios: https://figshare.com/articles/Population_scenarios_for_Central_Germany/3082183<br>Spatial data Central Germany: https://figshare.com/articles/Central_Germany_GIS_dataset/1318765 <br>Metadata to spatial data: https://figshare.com/articles/Centra_Germany_Dataset_Metadata/1319479<br><br><br>Any questions welcome: joerg.priess@ufz.de <br>(or the authors of the other datasets)
DOI: 10.6084/m9.figshare.3154015.v2
title: Land Use Scenarios for Central Germany until 2050

description: Dear users,<br>this dataset contains the 500m base grid for Central Germany as an ARCGIS shapefile in which all pixels have a uniqui ID.<br>Please use this ID to link the spatial data (=grid) to the scenario tables, which are provided in the data files in csv format. Please read the read_mes provided with the data files for more details on the spatial scenario datasets.<br><br>Scenarios have been calculated with the SITE model using among other inputs 3 other figshare dadatsets:<br><br>Spatial data Central Germany: https://figshare.com/articles/Central_Germany_GIS_dataset/1318765 <br>Metadata to spatial data: https://figshare.com/articles/Centra_Germany_Dataset_Metadata/1319479<br>Population scenarios: https://figshare.com/articles/Population_scenarios_for_Central_Germany/3082183<br>Population scenarios Spatial Data: https://figshare.com/articles/Population_scenarios_for_Central_Germany_Spatial_datasets/3153967<br><br>The four Scenarios are described in Priess and Hauck (2014), a detailed brochure is available in German at: http://www.ufz.de/index.php?en=37513 <br><br><br>Any questions welcome: joerg.priess@ufz.de <br>(or the authors of the other datasets)<br><br><br>Central Germany Scenario-related Refs:<br><br>Priess, J. A. and J. Hauck. 2014. Integrative Scenario Development. Ecology and Society 19 (1): 12. [online] URL: http://www.ecologyandsociety.org/vol19/iss1/art12/ <br><br>Hauck, J. and Priess J.A. (2013). „The most likely future isn’t“: Landnutzungsszenarien für Mitteldeutschland. Raumforschung und Raumordnung. DOI: 10.1007/s13147-013-0248-5<br><br>
DOI: 10.6084/m9.figshare.3153967.v1
title: Population scenarios for Central Germany_Spatial datasets

description: Dear users,<br>this dataset contains the 500m base grid for Central Germany as an ARCGIS shapefile in which all pixels have a uniqui ID.<br>Please use this ID to link the spatial data (=grid) to the scenario tables, which are provided in the EXCEL file. Please read the read_me in the EXCEL file for more details on the data provided therein.<br>Scenarios have been calculated with the SITE model using among other inputs 2 other figshare dadatsets:<br><br>Population scenarios: https://figshare.com/articles/Population_scenarios_for_Central_Germany/3082183<br>Spatial data Central Germany: https://figshare.com/articles/Central_Germany_GIS_dataset/1318765 <br>Metadata to spatial data: https://figshare.com/articles/Centra_Germany_Dataset_Metadata/1319479<br><br><br>Any questions welcome: joerg.priess@ufz.de <br>(or the authors of the other datasets)
DOI: 10.6084/m9.figshare.3154015.v1
title: Land Use Scenarios for Central Germany until 2050

description: Dear users,<br>this dataset contains the 500m base grid for Central Germany as an ARCGIS shapefile in which all pixels have a uniqui ID.<br>Please use this ID to link the spatial data (=grid) to the scenario tables, which are provided in the data files in csv format. Please read the read_mes provided with the data files for more details on the spatial scenario datasets.<br><br>Scenarios have been calculated with the SITE model using among other inputs 3 other figshare dadatsets:<br><br>Spatial data Central Germany: https://figshare.com/articles/Central_Germany_GIS_dataset/1318765 <br>Metadata to spatial data: https://figshare.com/articles/Centra_Germany_Dataset_Metadata/1319479<br>Population scenarios: https://figshare.com/articles/Population_scenarios_for_Central_Germany/3082183<br>Population scenarios Spatial Data: https://figshare.com/articles/Population_scenarios_for_Central_Germany_Spatial_datasets/3153967<br><br>The four Scenarios are described in Priess and Hauck (2014), a detailed brochure is available in German at: http://www.ufz.de/index.php?en=37513 <br><br><br>Any questions welcome: joerg.priess@ufz.de <br>(or the authors of the other datasets)<br><br><br>Central Germany Scenario-related Refs:<br><br>Priess, J. A. and J. Hauck. 2014. Integrative Scenario Development. Ecology and Society 19 (1): 12. [online] URL: http://www.ecologyandsociety.org/vol19/iss1/art12/ <br><br>Hauck, J. and Priess J.A. (2013). „The most likely future isn’t“: Landnutzungsszenarien für Mitteldeutschland. Raumforschung und Raumordnung. DOI: 10.1007/s13147-013-0248-5<br><br>
DOI: 10.18462/iir.rankine.2020.1135
title: Evaluation of different ORC power plant concepts for geothermal heat and power generation.
DOI: 10.6084/m9.figshare.3153961.v1
title: 신분증.jpg

description: gait
DOI: 10.6084/m9.figshare.3153805.v2
title: Radar and optical mapping of surge persistence and marsh dieback along the New Jersey Mid-Atlantic coast after Hurricane Sandy

description: This study combined a radar-based time series of Hurricane Sandy surge and estimated persistence with optical sensor-based marsh condition change to assess potential causal linkages of surge persistence and marsh condition change along the New Jersey Atlantic Ocean coast. Results based on processed TerraSAR-X and COSMO-SkyMed synthetic aperture radar (SAR) images indicated that surge flooding persisted for 12 h past landfall in marshes from Great Bay to Great Egg Harbor Bay and up to 59 h after landfall in many back-barrier lagoon marshes. Marsh condition change (i.e. loss of green marsh vegetation) was assessed from optical satellite images (Satellite Pour l’Observation de la Terre and Moderate Resolution Imaging Spectroradiometer) collected before and after Hurricane Sandy. High change in condition often showed spatial correspondence, with high surge persistence in marsh surrounding the lagoon portion of Great Bay, while in contrast, low change and high persistence spatial correspondence dominated the interior marshes of the Great Bay and Great Egg Harbor Bay estuaries. Salinity measurements suggest that these areas were influenced by freshwater discharges after landfall possibly mitigating damage. Back-barrier marshes outside these regions exhibited mixed correspondences. In some cases, topographic features supporting longer surge persistence suggested that non-correspondence between radar and optical data-based results may be due to differential resilience; however, in many cases, reference information was lacking to determine a reason for non-correspondence.
DOI: 10.6084/m9.figshare.3153805
title: Radar and optical mapping of surge persistence and marsh dieback along the New Jersey Mid-Atlantic coast after Hurricane Sandy

description: This study combined a radar-based time series of Hurricane Sandy surge and estimated persistence with optical sensor-based marsh condition change to assess potential causal linkages of surge persistence and marsh condition change along the New Jersey Atlantic Ocean coast. Results based on processed TerraSAR-X and COSMO-SkyMed synthetic aperture radar (SAR) images indicated that surge flooding persisted for 12 h past landfall in marshes from Great Bay to Great Egg Harbor Bay and up to 59 h after landfall in many back-barrier lagoon marshes. Marsh condition change (i.e. loss of green marsh vegetation) was assessed from optical satellite images (Satellite Pour l’Observation de la Terre and Moderate Resolution Imaging Spectroradiometer) collected before and after Hurricane Sandy. High change in condition often showed spatial correspondence, with high surge persistence in marsh surrounding the lagoon portion of Great Bay, while in contrast, low change and high persistence spatial correspondence dominated the interior marshes of the Great Bay and Great Egg Harbor Bay estuaries. Salinity measurements suggest that these areas were influenced by freshwater discharges after landfall possibly mitigating damage. Back-barrier marshes outside these regions exhibited mixed correspondences. In some cases, topographic features supporting longer surge persistence suggested that non-correspondence between radar and optical data-based results may be due to differential resilience; however, in many cases, reference information was lacking to determine a reason for non-correspondence.
DOI: 10.6084/m9.figshare.3153805.v1
title: Radar and optical mapping of surge persistence and marsh dieback along the New Jersey Mid-Atlantic coast after Hurricane Sandy

description: This study combined a radar-based time series of Hurricane Sandy surge and estimated persistence with optical sensor-based marsh condition change to assess potential causal linkages of surge persistence and marsh condition change along the New Jersey Atlantic Ocean coast. Results based on processed TerraSAR-X and COSMO-SkyMed synthetic aperture radar (SAR) images indicated that surge flooding persisted for 12 h past landfall in marshes from Great Bay to Great Egg Harbor Bay and up to 59 h after landfall in many back-barrier lagoon marshes. Marsh condition change (i.e. loss of green marsh vegetation) was assessed from optical satellite images (Satellite Pour l’Observation de la Terre and Moderate Resolution Imaging Spectroradiometer) collected before and after Hurricane Sandy. High change in condition often showed spatial correspondence, with high surge persistence in marsh surrounding the lagoon portion of Great Bay, while in contrast, low change and high persistence spatial correspondence dominated the interior marshes of the Great Bay and Great Egg Harbor Bay estuaries. Salinity measurements suggest that these areas were influenced by freshwater discharges after landfall possibly mitigating damage. Back-barrier marshes outside these regions exhibited mixed correspondences. In some cases, topographic features supporting longer surge persistence suggested that non-correspondence between radar and optical data-based results may be due to differential resilience; however, in many cases, reference information was lacking to determine a reason for non-correspondence.
DOI: 10.6084/m9.figshare.3153787
title: Deciphering the mechanism behind the varied binding activities of COXIBs through Molecular Dynamic Simulations, MM-PBSA binding energy calculations and per-residue energy decomposition studies

description: COX-2 is a well-known drug target in inflammatory disorders. COX-1/COX-2 selectivity of NSAIDs is crucial in assessing the gastrointestinal side effects associated with COX-1 inhibition. Celecoxib, rofecoxib, and valdecoxib are well-known specific COX-2 inhibiting drugs. Recently, polmacoxib, a COX-2/CA-II dual inhibitor has been approved by the Korean FDA. These COXIBs have similar structure with diverse activity range. Present study focuses on unraveling the mechanism behind the 10-fold difference in the activities of these sulfonamide-containing COXIBs. In order to obtain insights into their binding with COX-2 at molecular level, molecular dynamics simulations studies, and MM-PBSA approaches were employed. Further, per-residue decomposition of these energies led to the identification of crucial amino acids and interactions contributing to the differential binding of COXIBs. The results clearly indicated that Leu338, Ser339, Arg499, Ile503, Phe504, Val509, and Ser516 (Leu352, Ser353, Arg513, Ile517, Phe518, Val523, and Ser530 in PGHS-1 numbering) were imperative in determining the activity of these COXIBs. The binding energies and energy contribution of various residues were similar in all the three simulations. The results suggest that hydrogen bond interaction between the hydroxyl group of Ser516 and five-membered ring of diarylheterocycles augments the affinity in COXIBs. The SAR of the inhibitors studied and the per-residue energy decomposition values suggested the importance of Ser516. Additionally, the positive binding energy obtained with Arg106 explains the binding of COXIBs in hydrophobic channel deep in the COX-2 active site. The findings of the present work would aid in the development of potent COX-2 inhibitors.
DOI: 10.6084/m9.figshare.3153787.v1
title: Deciphering the mechanism behind the varied binding activities of COXIBs through Molecular Dynamic Simulations, MM-PBSA binding energy calculations and per-residue energy decomposition studies

description: COX-2 is a well-known drug target in inflammatory disorders. COX-1/COX-2 selectivity of NSAIDs is crucial in assessing the gastrointestinal side effects associated with COX-1 inhibition. Celecoxib, rofecoxib, and valdecoxib are well-known specific COX-2 inhibiting drugs. Recently, polmacoxib, a COX-2/CA-II dual inhibitor has been approved by the Korean FDA. These COXIBs have similar structure with diverse activity range. Present study focuses on unraveling the mechanism behind the 10-fold difference in the activities of these sulfonamide-containing COXIBs. In order to obtain insights into their binding with COX-2 at molecular level, molecular dynamics simulations studies, and MM-PBSA approaches were employed. Further, per-residue decomposition of these energies led to the identification of crucial amino acids and interactions contributing to the differential binding of COXIBs. The results clearly indicated that Leu338, Ser339, Arg499, Ile503, Phe504, Val509, and Ser516 (Leu352, Ser353, Arg513, Ile517, Phe518, Val523, and Ser530 in PGHS-1 numbering) were imperative in determining the activity of these COXIBs. The binding energies and energy contribution of various residues were similar in all the three simulations. The results suggest that hydrogen bond interaction between the hydroxyl group of Ser516 and five-membered ring of diarylheterocycles augments the affinity in COXIBs. The SAR of the inhibitors studied and the per-residue energy decomposition values suggested the importance of Ser516. Additionally, the positive binding energy obtained with Arg106 explains the binding of COXIBs in hydrophobic channel deep in the COX-2 active site. The findings of the present work would aid in the development of potent COX-2 inhibitors.
DOI: 10.6084/m9.figshare.3153763.v1
title: <i>In situ</i> TEM characterisation of dislocation interactions in α-titanium

description: <i>In situ</i> straining in the transmission electron microscope and diffraction-contrast electron tomography has been applied to investigate dislocation interactions in <i>α</i>-Ti. Dislocation debris, in the form of small loops, was seen to form from sequential cross-slip events. Electron tomography provided direct three-dimensional visualisation of the dislocation structures, allowing accurate identification of slip planes, dislocation line directions and spatial relations between dislocations.
DOI: 10.6084/m9.figshare.3153685
title: The good, the bad and the ugly: 30 years of land use changes in the Wasatch Range Metropolitan Area,

description: This presentation is prepared for AAG2016. <b> Abstract</b> In the past several decades, Utah has experienced significant population growth and landscape transformation. Large amounts of land (especially agricultural land) have been developed for various urban uses, raising concerns over a wide range of issues, such as degradation of agricultural landscapes, disturbance of ecological functions, and water resources management. Utah’s projected growth of 2.5 million people by 2050 added to the current 2.7 million population creates urgency and necessities to discuss how to plan for Utah’s land use to ensure Utah’s future sustainability and prosperity. A foundation of successful future land use planning and policy entails a more detailed and comprehensive understanding of historical land use change trends and patterns. We examine 30 years of land use changes in the Wasatch Range Metropolitan Area (WRMA), where 80% of Utah’s population resides and where Utah’s future growth will most likely to occur. Using GIS, spatial statistics and landscape metrics, we: 1) characterize the urban land use transformation; and 2) analyze relationships between urbanization processes and agricultural land transformation. By disclosing the good, the bad, and the ugly of last 30 years of land use change in northern Utah, this study intends to provide a frame of reference for land use planning and management in the region. Recommended Citation:Li, E., S. Li, and J. Endter-Wada. The good, the bad and the ugly: 30 years of land use changes in the Wasatch Range Metropolitan Area, Utah. Presentation at the 2016 Association of American Geographers Annual Conference, San Francisco, California, USA, March 2016. <br>
DOI: 10.6084/m9.figshare.3153670
title: KML Files for 2010 Census Blocks in New York State, Including County, Census Tract and Minor Civil Division (City/Town)

description: This code consists of 62 county-specific KML files for 2010 census blocks in New York State suitable for viewing in Google Earth, developed from 2011 vintage TIGER shapefiles. When viewing these files in Google Earth, clicking anywhere within a block opens a balloon containing the county, tract, block, and minor civil division (city/town) codes. The view must be below about 30,000 feet before they are visible. The files have been tested for viewing in Google Earth versions 6.1 and 7.1. No guarantee is made for any other KML viewer.
DOI: 10.6084/m9.figshare.3153670.v2
title: KML Files for 2010 Census Blocks in New York State, Including County, Census Tract and Minor Civil Division (City/Town)

description: This code consists of 62 county-specific KML files for 2010 census blocks in New York State suitable for viewing in Google Earth, developed from 2011 vintage TIGER shapefiles. When viewing these files in Google Earth, clicking anywhere within a block opens a balloon containing the county, tract, block, and minor civil division (city/town) codes. The view must be below about 30,000 feet before they are visible. The files have been tested for viewing in Google Earth versions 6.1 and 7.1. No guarantee is made for any other KML viewer.
DOI: 10.6084/m9.figshare.3153619
title: Statistical analysis of bodytronic measurements of circumference and volume of the lower extremity

description: Data set used for statistical analysis of reliability of Bodytronic measurement for circumference and volume of the lower extremity.
DOI: 10.6084/m9.figshare.3153685.v3
title: The good, the bad and the ugly: 30 years of land use changes in the Wasatch Range Metropolitan Area,

description: This presentation is prepared for AAG2016. <b> Abstract</b> In the past several decades, Utah has experienced significant population growth and landscape transformation. Large amounts of land (especially agricultural land) have been developed for various urban uses, raising concerns over a wide range of issues, such as degradation of agricultural landscapes, disturbance of ecological functions, and water resources management. Utah’s projected growth of 2.5 million people by 2050 added to the current 2.7 million population creates urgency and necessities to discuss how to plan for Utah’s land use to ensure Utah’s future sustainability and prosperity. A foundation of successful future land use planning and policy entails a more detailed and comprehensive understanding of historical land use change trends and patterns. We examine 30 years of land use changes in the Wasatch Range Metropolitan Area (WRMA), where 80% of Utah’s population resides and where Utah’s future growth will most likely to occur. Using GIS, spatial statistics and landscape metrics, we: 1) characterize the urban land use transformation; and 2) analyze relationships between urbanization processes and agricultural land transformation. By disclosing the good, the bad, and the ugly of last 30 years of land use change in northern Utah, this study intends to provide a frame of reference for land use planning and management in the region. Recommended Citation:Li, E., S. Li, and J. Endter-Wada. The good, the bad and the ugly: 30 years of land use changes in the Wasatch Range Metropolitan Area, Utah. Presentation at the 2016 Association of American Geographers Annual Conference, San Francisco, California, USA, March 2016. <br>
DOI: 10.6084/m9.figshare.3153685.v2
title: The good, the bad and the ugly: 30 years of land use changes in the Wasatch Range Metropolitan Area,

description: This presentation is prepared for AAG2016. <b> Abstract</b> In the past several decades, Utah has experienced significant population growth and landscape transformation. Large amounts of land (especially agricultural land) have been developed for various urban uses, raising concerns over a wide range of issues, such as degradation of agricultural landscapes, disturbance of ecological functions, and water resources management. Utah’s projected growth of 2.5 million people by 2050 added to the current 2.7 million population creates urgency and necessities to discuss how to plan for Utah’s land use to ensure Utah’s future sustainability and prosperity. A foundation of successful future land use planning and policy entails a more detailed and comprehensive understanding of historical land use change trends and patterns. We examine 30 years of land use changes in the Wasatch Range Metropolitan Area (WRMA), where 80% of Utah’s population resides and where Utah’s future growth will most likely to occur. Using GIS, spatial statistics and landscape metrics, we: 1) characterize the urban land use transformation; and 2) analyze relationships between urbanization processes and agricultural land transformation. By disclosing the good, the bad, and the ugly of last 30 years of land use change in northern Utah, this study intends to provide a frame of reference for land use planning and management in the region. Recommended Citation:Li, E., S. Li, and J. Endter-Wada. The good, the bad and the ugly: 30 years of land use changes in the Wasatch Range Metropolitan Area, Utah. Presentation at the 2016 Association of American Geographers Annual Conference, San Francisco, California, USA, March 2016. <br>