cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26066/rds.23172
title: Above ground biomass (AGB) data in Nepal

description: From the field well distributed circular (750m2 and 500m2), 1124 field plots (0.001% representation of forest cover) measured which were used for estimation AGB (ton/ha) using Sharma et al. (1990) proposed equations for all tree species of Nepal. A satisfactory linear relationship (AGB = 8.7018*Hmax-101.24, R2=0.67, RMSE=7.2 ton/ha) achieved between maximum canopy height (Hmax) and AGB (ton/ha).
DOI: 10.26066/rds.23173
title: Above ground carbon stock data in Nepal

description: The Above Ground Biomass(AGB) data obtained from the model was converted into carbon stock by applying a conversion factor of 0.47, as suggested by IPCC.
DOI: 10.26066/rds.23174
title: Maximum Tree Canopy Height data of Nepal

description: Leaf Area Index (LAI) generated based on Landsat-8 the OLI cloud free images. To generate tree canopy height map, a density scatter graph between the Geoscience Laser Altimeter System (GLAS) on the Ice, Cloud, and Land Elevation Satellite (ICESat) estimated maximum height and Landsat LAI nearest to the center coordinates of the GLAS shots show a moderate but significant exponential correlation (31.211*LAI0.4593, R2= 0.33, RMSE=13.25 m).
DOI: 10.26066/rds.23292
title: Lease hold forest boundary of Kayerkhola watershed, Chitwan District, Nepal

description: In the watershed level, existing lease hold forest boundary delineated to know the exact area under the lease hold forest. GeoEye-2009 image used for this pupose in the Kayerkhola watershed
DOI: 10.26066/rds.26102
title: Impacts of decadal winter season Leaf Area Index on forest ecosystems in Chitwan Annapurna Landscape (CHAL)

description: This layer gives information about the impacts of decadal winter season Leaf Area Index on forest ecosystems in Chitwan Annapurna Landscape.
DOI: 10.26066/rds.26103
title: Impacts of mean Leaf Area Index on forest ecosystems in Chitwan Annapurna Landscape (CHAL)

description: This layer gives information about the impacts of mean Leaf Area Index on forest ecosystems in Chitwan Annapurna Landscape.
DOI: 10.26066/rds.26105
title: Impacts of mean net primary product on forest ecosystems in Chitwan Annapurna Landscape (CHAL)

description: This layer gives information about the impacts of mean net primary product on forest ecosystems in Chitwan Annapurna Landscape.
DOI: 10.26066/rds.26106
title: Impacts of net primary product on forest ecosystems in Chitwan Annapurna Landscape (CHAL)

description: This layer gives information about the impacts of net primary product on forest ecosystems in Chitwan Annapurna Landscape.
DOI: 10.25345/c5tp64
title: MassIVE MSV000083627 - Optimized FFPE-based Quantitative Proteome Strategy for Monitoring Renal Transplant Injury
title: This dataset contains the raw files and result files for FFPE-based quantitative proteome analysis. The TMT-based quantitative proteome analysis was applied to TCMR vs STA samples and BKPyVN vs STA samples.
DOI: 10.26066/rds.23185
title: Dependence of local communities for grazing on forest ecosystems in Chitwan Annapurna Landscape (CHAL)

description: Grazing layer gives information about the dependence of local communities for grazing on forest ecosystems in Chitwan Annapurna Landscape.
DOI: 10.26066/rds.23187
title: Climate change sensitivity of forest ecosystems in Chitwan Annapurna Landscape (CHAL)

description: Sensitivity layer gives information about the climate change sensitivity of forest ecosystems in Chitwan Annapurna Landscape.
DOI: 10.26066/rds.23221
title: Bioclimate data of the upper Indus basin

description: A broad set of climate-related variables were considered for inclusion in a quantitative model, which partitions geographic space into bioclimate
regions.
DOI: 10.26066/rds.23222
title: Grazing routes in the key grazing areas of Gilgit - Baltistan

description: The dataset compiles the grazing routes in the key grazing areas during spring, summer and autumn.
DOI: 10.26066/rds.23223
title: Start of Season (SoS) of grasslands in upper Indus basin

description: The dataset is part of phenometrics produced using time series MODIS 13 Q1 data throught Timesat algorithms.
DOI: 10.26066/rds.23224
title: Season Integrated NDVI (productivity) of grasslands in upper Indus basin

description: The dataset is part of phenometrics produced using time series MODIS 13 Q1 data throught Timesat algorithms.
DOI: 10.26066/rds.23226
title: Ranking for grazing suitability in Key grazing areas of Gilgit Baltistan.

description: The dataset is produced based on suitabilty ranking based on grazing area, productivity and greening/browning trends.
DOI: 10.26066/rds.24267
title: Attitude of Geological Structural data of Nepal's Gorkha Earthquake 2015 affected area

description: Large landslide dams are one of the most disastrous natural phenomena in mountainous regions all over the world Such dams are formed most commonly in tectonically active settings where high mountains border narrow and steep valleys and earthquakes occur frequently. Landslide dams are very diverse in terms of their formation, geotechnical characteristics, longevity, stability, and flood hazard. The two major causes of landslide dam formation are precipitation and earthquake. About 50% of dam-forming landslides are brought about by rainstorms and snowmelts, 40% by earthquakes, and 10% by other factors Geometry of valley in relation to geometry and volume of debris and discharge of damming river are some of the factors which are responsible for the development of landslide dams. Schuster et al. (1998) mentioned four groups of governing factors responsible for the spatial distribution of landslide dams. They are i) seismic intensity, ii) slope gradient and topography, iii) lithology and weathering properties, and iv) soil moisture and groundwater content. Landslide dams are generated by various types of mass movements, which range from rock falls and rockslides in steep walled, narrow canyons to earth slumps in flat river lowlands. Managing landslide-dam hazards requires an understanding of the temporal and spatial scales on which such phenomena occur. Many previous works on landslide dams have been mainly descriptive in character, and have produced a multitude of documented case studies and inventories (e.g. Costa and Schuster, 1988; Costa and Schuster, 1991). More recent work is focused on quantitative methods of determining the post-formation development, in particular, the controls on dam longevity.
DOI: 10.26066/rds.24268
title: Nepal's Gorkha Earthquake 2015 induced landslide data of Bahrabise, Sindhupalchok

description: Earthquake-induced landslide hazard mapping is based on investigations in the Bahrabise–Liping area of the Sindhupalchok District. The information was gathered from existing maps, past published and unpublished reports, satellite images as well as field survey of some important failures.
Seismic hazard analysis is a common tool to estimate the expected level of intensity of ground motion related to earthquakes. Seismic hazard is the probability of occurrence of a specified level of ground shaking in a specified period of time at a particular site. In seismic hazard analysis, it is required to infer the source of the future earthquake. To evaluate seismic hazard for a particular site or region, all possible sources of seismic activity must be identified and their potential for generating future strong ground motion should be evaluated. Seismic hazard can be estimated either by deterministic or probabilistic approaches. The hazard can be investigated deterministically when a particular earthquake scenario is assumed, whereas it can be analysed probabilistically when uncertainties in earthquake size, location, and time of occurrence are considered.
DOI: 10.26066/rds.24676
title: Geological data of Nepal's Gorkha Earthquake 2015 affected area

description: Large landslide dams are one of the most disastrous natural phenomena in mountainous regions all over the world Such dams are formed most commonly in tectonically active settings where high mountains border narrow and steep valleys and earthquakes occur frequently. Landslide dams are very diverse in terms of their formation, geotechnical characteristics, longevity, stability, and flood hazard. The two major causes of landslide dam formation are precipitation and earthquake. About 50% of dam-forming landslides are brought about by rainstorms and snowmelts, 40% by earthquakes, and 10% by other factors Geometry of valley in relation to geometry and volume of debris and discharge of damming river are some of the factors which are responsible for the development of landslide dams. Schuster et al. (1998) mentioned four groups of governing factors responsible for the spatial distribution of landslide dams. They are i) seismic intensity, ii) slope gradient and topography, iii) lithology and weathering properties, and iv) soil moisture and groundwater content. Landslide dams are generated by various types of mass movements, which range from rock falls and rockslides in steep walled, narrow canyons to earth slumps in flat river lowlands. Managing landslide-dam hazards requires an understanding of the temporal and spatial scales on which such phenomena occur. Many previous works on landslide dams have been mainly descriptive in character, and have produced a multitude of documented case studies and inventories (e.g. Costa and Schuster, 1988; Costa and Schuster, 1991). More recent work is focused on quantitative methods of determining the post-formation development, in particular, the controls on dam longevity.
DOI: 10.26066/rds.24679
title: Anti Dip Slope - Hazard Mapping of Nepal's Gorkha Earthquake 2015 induced landslide Dams

description: Large landslide dams are one of the most disastrous natural phenomena in mountainous regions all over the world Such dams are formed most commonly in tectonically active settings where high mountains border narrow and steep valleys and earthquakes occur frequently. Landslide dams are very diverse in terms of their formation, geotechnical characteristics, longevity, stability, and flood hazard. The two major causes of landslide dam formation are precipitation and earthquake. About 50% of dam-forming landslides are brought about by rainstorms and snowmelts, 40% by earthquakes, and 10% by other factors Geometry of valley in relation to geometry and volume of debris and discharge of damming river are some of the factors which are responsible for the development of landslide dams. Schuster et al. (1998) mentioned four groups of governing factors responsible for the spatial distribution of landslide dams. They are i) seismic intensity, ii) slope gradient and topography, iii) lithology and weathering properties, and iv) soil moisture and groundwater content. Landslide dams are generated by various types of mass movements, which range from rock falls and rockslides in steep walled, narrow canyons to earth slumps in flat river lowlands. Managing landslide-dam hazards requires an understanding of the temporal and spatial scales on which such phenomena occur. Many previous works on landslide dams have been mainly descriptive in character, and have produced a multitude of documented case studies and inventories (e.g. Costa and Schuster, 1988; Costa and Schuster, 1991). More recent work is focused on quantitative methods of determining the post-formation development, in particular, the controls on dam longevity.
DOI: 10.26066/rds.24681
title: Dip Normal Slope - Hazard Mapping of Nepal's Gorkha Earthquake 2015 induced landslide Dams

description: Large landslide dams are one of the most disastrous natural phenomena in mountainous regions all over the world Such dams are formed most commonly in tectonically active settings where high mountains border narrow and steep valleys and earthquakes occur frequently. Landslide dams are very diverse in terms of their formation, geotechnical characteristics, longevity, stability, and flood hazard. The two major causes of landslide dam formation are precipitation and earthquake. About 50% of dam-forming landslides are brought about by rainstorms and snowmelts, 40% by earthquakes, and 10% by other factors Geometry of valley in relation to geometry and volume of debris and discharge of damming river are some of the factors which are responsible for the development of landslide dams. Schuster et al. (1998) mentioned four groups of governing factors responsible for the spatial distribution of landslide dams. They are i) seismic intensity, ii) slope gradient and topography, iii) lithology and weathering properties, and iv) soil moisture and groundwater content. Landslide dams are generated by various types of mass movements, which range from rock falls and rockslides in steep walled, narrow canyons to earth slumps in flat river lowlands. Managing landslide-dam hazards requires an understanding of the temporal and spatial scales on which such phenomena occur. Many previous works on landslide dams have been mainly descriptive in character, and have produced a multitude of documented case studies and inventories (e.g. Costa and Schuster, 1988; Costa and Schuster, 1991). More recent work is focused on quantitative methods of determining the post-formation development, in particular, the controls on dam longevity.
DOI: 10.26066/rds.24682
title: Dip Slope - Hazard Mapping of Nepal's Gorkha Earthquake 2015 induced landslide Dams

description: Large landslide dams are one of the most disastrous natural phenomena in mountainous regions all over the world Such dams are formed most commonly in tectonically active settings where high mountains border narrow and steep valleys and earthquakes occur frequently. Landslide dams are very diverse in terms of their formation, geotechnical characteristics, longevity, stability, and flood hazard. The two major causes of landslide dam formation are precipitation and earthquake. About 50% of dam-forming landslides are brought about by rainstorms and snowmelts, 40% by earthquakes, and 10% by other factors Geometry of valley in relation to geometry and volume of debris and discharge of damming river are some of the factors which are responsible for the development of landslide dams. Schuster et al. (1998) mentioned four groups of governing factors responsible for the spatial distribution of landslide dams. They are i) seismic intensity, ii) slope gradient and topography, iii) lithology and weathering properties, and iv) soil moisture and groundwater content. Landslide dams are generated by various types of mass movements, which range from rock falls and rockslides in steep walled, narrow canyons to earth slumps in flat river lowlands. Managing landslide-dam hazards requires an understanding of the temporal and spatial scales on which such phenomena occur. Many previous works on landslide dams have been mainly descriptive in character, and have produced a multitude of documented case studies and inventories (e.g. Costa and Schuster, 1988; Costa and Schuster, 1991). More recent work is focused on quantitative methods of determining the post-formation development, in particular, the controls on dam longevity.
DOI: 10.26066/rds.24683
title: Internal Relief Map of Nepal's Gorkha Earthquake 2015 affected area

description: Large landslide dams are one of the most disastrous natural phenomena in mountainous regions all over the world Such dams are formed most commonly in tectonically active settings where high mountains border narrow and steep valleys and earthquakes occur frequently. Landslide dams are very diverse in terms of their formation, geotechnical characteristics, longevity, stability, and flood hazard. The two major causes of landslide dam formation are precipitation and earthquake. About 50% of dam-forming landslides are brought about by rainstorms and snowmelts, 40% by earthquakes, and 10% by other factors Geometry of valley in relation to geometry and volume of debris and discharge of damming river are some of the factors which are responsible for the development of landslide dams. Schuster et al. (1998) mentioned four groups of governing factors responsible for the spatial distribution of landslide dams. They are i) seismic intensity, ii) slope gradient and topography, iii) lithology and weathering properties, and iv) soil moisture and groundwater content. Landslide dams are generated by various types of mass movements, which range from rock falls and rockslides in steep walled, narrow canyons to earth slumps in flat river lowlands. Managing landslide-dam hazards requires an understanding of the temporal and spatial scales on which such phenomena occur. Many previous works on landslide dams have been mainly descriptive in character, and have produced a multitude of documented case studies and inventories (e.g. Costa and Schuster, 1988; Costa and Schuster, 1991). More recent work is focused on quantitative methods of determining the post-formation development, in particular, the controls on dam longevity.
DOI: 10.26066/rds.24684
title: Factor of Safety (dry condition at 2m depth) of Nepal's Gorkha Earthquake 2015 induced landslide hazard mapping data of Bahrabise, Sindhupalchok

description: Earthquake-induced landslide hazard mapping is based on investigations in the Bahrabise–Liping area of the Sindhupalchok District. The information was gathered from existing maps, past published and unpublished reports, satellite images as well as field survey of some important failures. Seismic hazard analysis is a common tool to estimate the expected level of intensity of ground motion related to earthquakes. Seismic hazard is the probability of occurrence of a specified level of ground shaking in a specified period of time at a particular site. In seismic hazard analysis, it is required to infer the source of the future earthquake. To evaluate seismic hazard for a particular site or region, all possible sources of seismic activity must be identified and their potential for generating future strong ground motion should be evaluated. Seismic hazard can be estimated either by deterministic or probabilistic approaches. The hazard can be investigated deterministically when a particular earthquake scenario is assumed, whereas it can be analysed probabilistically when uncertainties in earthquake size, location, and time of occurrence are considered.
DOI: 10.26066/rds.24685
title: Factor of Safety (dry condition at 3m depth) of Nepal's Gorkha Earthquake 2015 induced landslide hazard mapping data of Bahrabise, Sindhupalchok

description: Earthquake-induced landslide hazard mapping is based on investigations in the Bahrabise–Liping area of the Sindhupalchok District. The information was gathered from existing maps, past published and unpublished reports, satellite images as well as field survey of some important failures. Seismic hazard analysis is a common tool to estimate the expected level of intensity of ground motion related to earthquakes. Seismic hazard is the probability of occurrence of a specified level of ground shaking in a specified period of time at a particular site. In seismic hazard analysis, it is required to infer the source of the future earthquake. To evaluate seismic hazard for a particular site or region, all possible sources of seismic activity must be identified and their potential for generating future strong ground motion should be evaluated. Seismic hazard can be estimated either by deterministic or probabilistic approaches. The hazard can be investigated deterministically when a particular earthquake scenario is assumed, whereas it can be analysed probabilistically when uncertainties in earthquake size, location, and time of occurrence are considered.
DOI: 10.26066/rds.24686
title: Factor of Safety ( dry condition at 5m depth) of Nepal's Gorkha Earthquake 2015 induced landslide hazard mapping data of Bahrabise, Sindhupalchok

description: Earthquake-induced landslide hazard mapping is based on investigations in the Bahrabise–Liping area of the Sindhupalchok District. The information was gathered from existing maps, past published and unpublished reports, satellite images as well as field survey of some important failures. Seismic hazard analysis is a common tool to estimate the expected level of intensity of ground motion related to earthquakes. Seismic hazard is the probability of occurrence of a specified level of ground shaking in a specified period of time at a particular site. In seismic hazard analysis, it is required to infer the source of the future earthquake. To evaluate seismic hazard for a particular site or region, all possible sources of seismic activity must be identified and their potential for generating future strong ground motion should be evaluated. Seismic hazard can be estimated either by deterministic or probabilistic approaches. The hazard can be investigated deterministically when a particular earthquake scenario is assumed, whereas it can be analysed probabilistically when uncertainties in earthquake size, location, and time of occurrence are considered.
DOI: 10.26066/rds.24687
title: Factor of Safety ( wet condition at 3m depth) of Nepal's Gorkha Earthquake 2015 induced landslide hazard mapping data of Bahrabise, Sindhupalchok

description: Earthquake-induced landslide hazard mapping is based on investigations in the Bahrabise–Liping area of the Sindhupalchok District. The information was gathered from existing maps, past published and unpublished reports, satellite images as well as field survey of some important failures. Seismic hazard analysis is a common tool to estimate the expected level of intensity of ground motion related to earthquakes. Seismic hazard is the probability of occurrence of a specified level of ground shaking in a specified period of time at a particular site. In seismic hazard analysis, it is required to infer the source of the future earthquake. To evaluate seismic hazard for a particular site or region, all possible sources of seismic activity must be identified and their potential for generating future strong ground motion should be evaluated. Seismic hazard can be estimated either by deterministic or probabilistic approaches. The hazard can be investigated deterministically when a particular earthquake scenario is assumed, whereas it can be analysed probabilistically when uncertainties in earthquake size, location, and time of occurrence are considered.
DOI: 10.5281/zenodo.2604579
title: DWD European Weather

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst

Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html

dates and times are UTC.
DOI: 10.17632/3cn7m9ptnc.1
title: Data for: Cytotoxic polyhydroxy serratene triterpenoids from Lycopodium complanatum

description: The HRESIMS, UV, 1D and 2D NMR of compounds 1-6 are available in the supplementary data.