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1,515 results for “Nepal”
Twitter dataset of flood-related images for September 2021, Thailand and June/July 2021, Nepal floods
<p>Twitter dataset related to flood events onsets in Thailand and Nepal, focused on September 26/27, 2022, June 16/17 2021 and July 01/02 2021. The dataset has been processed with a VisualCit pipeline in order to automatically filter a relevant subset of posts through automated image analysis, using deep learning techniques. The posts were then geolocated using the CIME algorithm. Additional information about the data collection and data processing are described in <a href="http://arxiv.org/abs/2202.12014">http://arxiv.org/abs/2202.12014</a></p>
Pāṭan, Kathmandu (काठमाडौँ Nepal). Entrance to the Viśvakarmā temple, detail of Ugracaṇḍā.
<p>Pāṭan, Kathmandu (काठमाडौँ Nepal). Entrance to the Viśvakarmā temple, detail of Ugracaṇḍā.</p>
Results from the OnStove Nepal model "Achieving Nepal's clean cooking ambitions: an open source and geospatial cost–benefit analysis"
<p>This repository includes all result datasets and figures from the <a href="https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove-Nepal">OnStove Nepal</a> model presented in the paper "<strong>Achieving Nepal's clean cooking ambitions: an open source and geospatial cost–benefit analysis</strong>" DOI: <a href="https://doi.org/10.1016/S2542-5196(24)00209-2">https://doi.org/10.1016/S2542-5196(24)00209-2</a>.</p> <p>The code and automated workflow to run the model can be found in the Github repository <a href="https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove-Nepal">https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove-Nepal</a>. All model input data can be downloaded from the permanent repository at<em> </em><a href="https://doi.org/10.5281/zenodo.10641858">10.5281/zenodo.10641858</a>.</p> <h2>Folder structure</h2> <p>The folder structure consists of a <strong>Procedded GIS Data </strong>folder containing all GIS processed data. These are the outputs from the <strong>DataProcessor.ipynb </strong>script and the raw GIS input data files found in the input data repository.</p> <p>A folder for <strong>each scenario</strong> results. Within each scenario folder, there are:</p> <ul> <li>A <strong>model.pkl </strong>and a <strong>results.pkl </strong>files. These are a calibrated OnStove model with the scenario inputs and a complete results model file of the scenario respectively. Both of these files can be read and explored using the OnStove tool. </li> <li>A <strong>summary.csv </strong>file with the summary results of the scenario for each technology.</li> <li>A <strong>Subsidies_scenario_name.csv </strong>file showing the required total subsidies per technology of the scenario.</li> <li>Image files in pdf format for: <ul> <li>The baseline technologies used in the country (<strong>current_shares.pdf</strong>),</li> <li>The spatial mix of technologies providing the maximum net-benefits throughout the country (<strong>max_benefit_tech.pdf</strong>), </li> <li>The total costs and benefits of the transition per technology (<strong>costs_benefits.pdf</strong>),</li> <li>The bar plot of max benefit technology shares (<strong>tech_split.pdf</strong>),</li> <li>The max benefit technologies distribution over relative wealth in the country (<strong>tech_histogram.pdf</strong>),</li> </ul> </li> <li>A <strong>Rasters </strong>folder with raster files of different result maps in .tif format.</li> </ul> <p>Inside the <strong>MCA </strong>folder, all results from the prioritization analysis are found, including:</p> <ul> <li>The prioritized spatial technology mix to achieve the goals of the country (<strong>Prioritized_hh.pdf</strong>),</li> <li>The biogas cookstoves relative wealth distribution index (<strong>Biogas_index.pdf</strong>),</li> <li>The biomass ICS T3 cookstoves relative wealth distribution index (<strong>Biomass_ICS_T3_index.pdf</strong>),</li> <li>The electrical cookstoves relative wealth distribution index (<strong>Electricity_index.pdf</strong>),</li> <li>The biogas cookstoves priority map (<strong>Biogas_priority_areas.pdf</strong>),</li> <li>The biomass ICS T3 cookstoves priority map (<strong>Biomass_ICS_T3_priority_areas.pdf</strong>),</li> <li>The electrical cookstoves priority map (<strong>Electricity_priority_areas.pdf</strong>),</li> <li>The total costs and benefits of the transition per technology (<strong>costs_benefits.pdf</strong>),</li> <li>The prioritized technology shares distribution over relative wealth in the country (<strong>tech_histogram_prioritized.pdf</strong>),</li> <li>A <strong>Subsidies_prioritized.csv </strong>file showing the required total subsidies per technology,</li> <li>A <strong>mca.pkl </strong>file with the MCA model that can be manipulated using the OnStove tool,</li> <li>A <strong>access_results.txt </strong>file with the current and after prioritization clean cooking access shares in the country.</li> </ul> <p>A <strong>main_plot.pdf </strong>and a <strong>prioritized_plot.pdf </strong>files showing the compiled results for all scenarios and prioritized scenario respectively.</p> <h2>License</h2> <p>All datasets are released under the <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a> (CC BY 4.0).</p>
Major ions in Trambau ice core, Nepal Himalaya
<p>An 81.2-m-long ice core was drilled in November 2019 at 5862m a.s.l. of Trambau Glacier, Rolwaling region, Nepal Himalaya (27.919° N, 86.545° E). This data set contains the concentrations of major ions and tritium concentrations in the ice core.</p> <p>The data set contains Depth in snow/ice (m), Depth in water equivalent (m w.e.), Date (digit year), Na (ppb), Cl (ppb), NH4 (ppb), K (ppb), Mg (ppb), Ca (ppb), NO3 (ppb), SO4 (ppb), T_rough (TU), T_fine (TU)</p>
The allocation of Chinese and Indian development finance in Nepal and its influence on local election results
<p>This realease contains the used datasets and calculations for my Bachelorthesis about Indian and Chinese allocation of Overall Development Assistance in Nepal.</p>
CLDF dataset derived from Hale's "Wordlists in Selected Languages of Nepal" from 1973
<p>Cite the source of the dataset as:</p> <blockquote> <p>Hale, Austin (1973): Clause, sentences, and discourse patterns in selected languages of Nepal. Kathmandu: Institute of Nepal and Asiatic Studies.</p> </blockquote>
Nepal. Standing Buddha, with inscripton.
<p>Nepal. Standing Buddha, with inscripton, as documented 05/1979 (Collection of the Cleveland Museum of Art)</p>
Pāṭan, Kathmandu (काठमाडौँ Nepal). Entrance to the Viśvakarmā temple, tympanum with Ugracaṇḍā.
<p>Pāṭan, Kathmandu (काठमाडौँ Nepal). Entrance to the Viśvakarmā temple, tympanum with Ugracaṇḍā (उग्रचण्डा).</p>
Kathmandu काठमाडौँ, Nepal. IN02010 Te-Bahal Pedestal Inscription of the time of Manadeva I
<p>Kathmandu काठमाडौँ, Nepal. IN02010 Te-Bahal Pedestal Inscription of the time of Mānadeva I. Lévi, Sylvan. <em>Le Népal, étude historique d’un royaume hindou (</em>Paris: Ernest Leroux, 1908). Vol. 3. pp. 22-24. Inscription 3.</p>
National Checklists 2017: Nepal Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from Nepal collected using effechecka and geonames polygons
National Checklists 2019: Nepal Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Nepal collected using effechecka and geonames polygons
Data for 'Nature's contributions to people and the Sustainable Development Goals in Nepal'
<p>Title: Data for 'Nature's contributions to people and the Sustainable Development Goals in Nepal'</p> <p>Recommended Citation: Adhikari, B., Prescott, G., Urbach, D., Chettri, N., & Fischer, M. (2022). Nature’s contributions to people and the sustainable development goals in Nepal. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ac8e1e</p> <p>Principal Investigator: Markus Fischer (markus.fischer@ips.unibe.ch)</p> <p>Authors:<br> Biraj Adhikari (biraj.adhikari@ips.unibe.ch, ORCID: 0000-0002-4260-8706)<br> Graham W Prescott (graham.prescott.research@gmail.com, ORCID:0000-0001-5123-514X)<br> Davnah Urbach (davnah.payne@ips.unibe.ch, ORCID: 0000-0001-9170-7834)<br> Nakul Chettri (nakul.chettri@icimod.org, ORCID: 0000-0002-3338-8879)<br> Markus Fischer (markus.fischer@ips.unibe.ch, ORCID: 0000-0002-5589-5900)</p> <p>Date of data collection: November 2020 - August 2021<br> Location of data collection: Kathmandu, Nepal<br> Article title: 'Nature's contributions to people and the Sustainable Development Goals in Nepal'</p> <p>R code available at: https://github.com/biraj-ad/r4dLiteratureReview_GithubRep</p> <p>Data Overview:</p> <p>1. 'Literature_References.csv'<br> List of 119 peer-reviewed journals and 21 grey literature documents used in the review. Each is assigned a unique identifier ("SN Ref") to link it to the other files.</p> <p><br> 2. 'Drivers_and_Trends.csv'<br> The "Quote" column is the text from papers which has information on (i) trends in ecosystems or NCPs, and if available (ii) direct and/or indirect drivers causing the trends.<br> The "Nature" column indicates which ecosystem (Forest, Farmland, Freshwater, Grassland, Others, and Directly to NCP), the "NCP" column indicates which NCP (categorized into 18 categories based on the IPBES classification) the text refers to. The "NCP Category" column indicates whether the said NCP is a regulating, material or non-material NCP. <br> We also categorized direct and indirect drivers based on the IPBES classification (Direct Drivers: Land-use Change, Climate Change, Direct Exploitation, Invasive Alien Species, and Pollution; Indirect Drivers: Institutions and Governance, Demographic and Sociocultural, Economic and Technological). <br> If there were more than one drivers of change for a particular NCP, we have included them in additional columns. In order to avoid multiple counts for trends of a particular NCP, we introduced the "TrendCount" column. For example, columns 3, 4 and 5 refers to the same trend of decreasing WQN, but has 3 Direct Drivers. Therefore, each TrendCount is given a weight of 0.33 so that the total trend adds upto 1.</p> <p>3. 'NCP_to_SDG.csv'<br> The "Quote" Column is the text from papers which has information on which NCP is contributing towards which SDG. "Remarks from text" are the authors' own remarks based on the text and the overall context of the article.<br> The contribution of NCPs are classified as positive or negative, and indicated in the column "Effect (pos/neg)"<br> The "NCP" column indicates which NCP (categorized into 18 categories according to IPBES) the text refers to, while the "Contribution to SDG" column indicates which SDG the NCP is contributing towards.<br> The "Ecosystem" column indicates which ecosystem (Forest, Farmland, Freshwater, Grassland, Others) the NCP is being supplied from.</p> <p>Codes for NCPS:<br> HAB (Habitat Creation and Maintenance), POL (Pollination and dispersal of seeds and other propagules), AIR (Regulation of Air Quality), CLI (Regulation of Climate), WQN (Regulation of Freshwater Quantity, Location, and Timing), WQL (Regulation of Freshwater and Coastal Water Quality), SOI (Formation, Protection, and Decontamination of Soils and Sediments), HAZ (Regulation of Hazards and Extreme Events), ORG (Regulation of Organisms Detrimental to Humans), NRG (Energy), FOD (Food and Feed), MAT (Materials and Assistance), MED (Medicinal, Biochemical, and Genetic Resources), INS (Learning and Inspiration), EXP (Physical and Psychological Experiences), IDE (Supporting Identities), and OPT (Maintenance of Options).</p> <p>4. 'Data_consolidated.xlsx'<br> The above three data files combined into one xlsx document<br> </p> <p> </p> <p> </p>
Fig 23 in The Pselaphodes (Coleoptera: Staphylinidae: Pselaphinae) of Nepal
Fig 23. Male diagnostic features of Pselaphodes tmesisternus sp. nov. (A) Antennal club. (B) Pronotum. (C) Metaventral process, in lateral view. (D) Protrochanter and profemur. (E) Apex of protibia. (F) Mesotrochanter and mesofemur. (G) Metatrochanter and metafemur. (H) Sternite IX. (I-K) Aedeagus, in dorsal (I), lateral (J), and ventral (K) view. Scale bars: 0.3 mm in A-B, D, F-G; 0.2 mm in C, I-K; 0.1 mm in E, H.
Fig 18 in The Pselaphodes (Coleoptera: Staphylinidae: Pselaphinae) of Nepal
Fig 18. Male diagnostic features of Pselaphodes sagephorus sp. nov. (A) Antennal club. (B) Pronotum. (C) Metaventral process, in lateral view. (D) Protrochanter and profemur. (E) Apex of protibia. (F) Mesotrochanter and mesofemur. (G) Metatrochanter and metafemur. (H) Sternite IX. (I-K) Aedeagus, in dorsal (I), lateral (J), and ventral (K) view. Scale bars: 0.3 mm in A-B, D, F-G; 0.2 mm in C, I-K; 0.1 mm in E, H.
Fig 20 in The Pselaphodes (Coleoptera: Staphylinidae: Pselaphinae) of Nepal
Fig 20. Male diagnostic features of Pselaphodes smetanai sp. nov. (A) Antennal club. (B) Pronotum. (C) Metaventral process, in lateral view. (D) Protrochanter and profemur. (E) Apex of protibia. (F) Mesotrochanter and mesofemur. (G) Apex of mesotibia. (H) Metatrochanter and metafemur. (I-K) Aedeagus, in dorsal (I), lateral (J), and ventral (K) view. Scale bars: 0.3 mm in A-B, D, F, H; 0.2 mm in C, I-K; 0.1 mm in E, G.
Fig 17 in The Pselaphodes (Coleoptera: Staphylinidae: Pselaphinae) of Nepal
Fig 17. Male diagnostic features of Pselaphodes rotundatus sp. nov. (A) Antennal club. (B) Pronotum. (C) Metaventral process, in lateral view. (D) Protrochanter and profemur. (E) Apex of protibia. (F) Mesotrochanter and mesofemur. (G) Apex of mesotibia. (H) Metatrochanter and metafemur. (I) Sternite IX. (J-L) Aedeagus, in dorsal (J), lateral (K), and ventral (L) view. Scale bars: 0.3 mm in A-B, D, F, H; 0.2 mm in C, J-L; 0.1 mm in E, G, I.
Fig 16 in The Pselaphodes (Coleoptera: Staphylinidae: Pselaphinae) of Nepal
Fig 16. Dorsal habitus of Pselaphodes males. (A) P. rotundatus sp. nov. (B) P. sagephorus sp. nov. Scale bars: 1 mm.
Fig 7 in The Pselaphodes (Coleoptera: Staphylinidae: Pselaphinae) of Nepal
Fig 7. Dorsal habitus of Pselaphodes males. (A) P. coxatus sp. nov. (B) P. khandbarius sp. nov. Scale bars: 1 mm.
Fig 11 in The Pselaphodes (Coleoptera: Staphylinidae: Pselaphinae) of Nepal
Fig 11. Male diagnostic features of Pselaphodes loebli sp. nov. (A) Antennal club. (B) Pronotum. (C) Metaventral process, in lateral view. (D) Protrochanter and profemur. (E) Apex of protibia. (F) Mesotrochanter and mesofemur. (G) Apex of mesotibia. (H) Metatrochanter and metafemur. (I) Sternite IX. (J-L) Aedeagus, in dorsal (J), lateral (K), and ventral (L) view. Scale bars: 0.3 mm in A-B, D, F, H; 0.2 mm in C, J-L; 0.1 mm in E, G, I.
Fig 3 in The Pselaphodes (Coleoptera: Staphylinidae: Pselaphinae) of Nepal
Fig 3. Male diagnostic features of Pselaphodes bagmatius sp. nov. (A) Antennal club. (B) Pronotum. (C) Metaventral process, in lateral view. (D) Protrochanter and profemur. (E) Apex of protibia. (F) Mesotrochanter and mesofemur. (G) Apex of mesotibia. (H) Metatrochanter and metafemur. (I) Sternite IX. (J-L) Aedeagus, in dorsal (J), lateral (K), and ventral (L) view. Scale bars: 0.3 mm in A-B, D, F, H; 0.2 mm in C, J-L; 0.1 mm in E, G, I.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.