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}IISH Dataverse2026 · dataset · unknown
Replication Data for: Single and Multi-Winner Auctions with Performance ObligationThis replication package accompanies the paper "Single and Multi-Winner Auctions with Performance Obligation" by Marin Coerts, Florian Heine, Frank van Ommeren, and Arjen van Witteloostuijn, published at Games and Economic Behavior. It contains the raw experimental and questionnaire data from a lab auction experiment, a Stata do-file that cleans the raw data into an analysis-ready dataset, a Stata
Climateverse2026 · dataset · unknown
National Institute of Open Schooling Study Centres, MeghalayaFifty-nine National Institute of Open Schooling (NIOS) study centres in Meghalaya, mapped with district, block, address, courses, medium of study, science availability, who they admit, status, and seats sanctioned and still free, on a Meghalaya State GeoHub dashboard. Useful for where open-schooling provision sits, how seats are spread, and how much capacity is unfilled. It does not record enrolme
Climateverse2026 · dataset · unknown
Monthly Vehicle Registrations, MeghalayaMonthly new vehicle registrations in Meghalaya from the VAHAN system, January 2019 to May 2024, by regional transport office, broken down in turn by fuel type, manufacturer, emission norm, vehicle category and vehicle class. Published through the Meghalaya Data Portal. Useful for registration trends, comparing transport offices, and shifts in the fuel mix and emission standards of new vehicles. Th
Borealis2026 · dataset · unknown
Supplementary Materials for Planning Edible Landscaping in Residential Development: Feasibility, Approval Pathways, and Stakeholder Assessments in the Canadian ContextThis dataset contains the supplementary materials associated with Chapter 2 of the MA thesis Planning Edible Landscaping in Residential Development: Feasibility, Approval Pathways, and Stakeholder Assessments in the Canadian Context. Chapter 2 presents a scoping review examining the planning, design, development, and governance conditions affecting the feasibility of edible landscaping in resident
Climateverse2026 · dataset · unknown
School Census (UDISE), Meghalaya, 2021-22The 2021-22 UDISE school census for Meghalaya: 14,574 schools with UDISE and village codes, management and category, enrolment and teachers by class and sex, and building and toilet status, plus 59 open-schooling centres and 39 adolescent-friendly clinics. Published by the Meghalaya State GeoHub. Useful for comparing enrolment, teachers and school buildings across schools, blocks and districts.
Climateverse2026 · dataset · unknown
Bank Deposits and Branch Register (RBI), MeghalayaBanking statistics for Meghalaya from the Reserve Bank of India: bank deposits, offices and accounts by district for two periods between 2009 and 2023, and a register of bank branches and ATMs with their locations, bank group and status. Published through the Meghalaya Data Portal. Useful for comparing districts on banking presence and deposits and for mapping bank outlets. The deposit tables and
Climateverse2026 · dataset · unknown
Annual Survey of Industries, MeghalayaFactory-sector estimates for Meghalaya from the Annual Survey of Industries, yearly from 2011-12 to 2019-20: number of factories, capital, workers and persons engaged, wages, inputs, output, depreciation, net value added, rent and interest. State level only. Published through the Meghalaya Data Portal. Useful for trends in the state's factory employment, output and value added. Monetary units are
Climateverse2026 · dataset · unknown
PMEGP Margin Money Claims and Releases, MeghalayaMargin money claimed and released under the Prime Minister's Employment Generation Programme (PMEGP) in Meghalaya through two banks, by financial year from 2016-17 to 2022-23, with project counts at each stage from claim to release. State level only. Published through the Meghalaya Data Portal. Useful for yearly claim and release volumes and comparing the two banks. Amounts carry no stated unit, a
Climateverse2026 · dataset · unknown
Police Station Locations, MeghalayaLocations of 22 police stations in Meghalaya, each with its name, district, sub-district and village, and official district and village codes that let it be matched to boundary maps. Published by the Meghalaya State GeoHub, with no date. Useful for mapping police stations against districts and villages; the 22 stations listed may not be every station in the state.
Climateverse2026 · dataset · unknown
GST Collections, Filings and E-Way Bills, MeghalayaMonthly Goods and Services Tax (GST) figures for Meghalaya from 2017: tax collected (CGST, SGST, IGST and cess), IGST settled to the state, GSTR-1 and GSTR-3B return filing and on-time rates, and e-way bills generated by type of supply. State level only. Published through the Meghalaya Data Portal. Useful for monthly trends in collections, filing compliance and goods movement. Most value series ca
CSDA Dataverse + Czech Social Science Data Archive2026 · dataset · unknown
Dopady autorskoprávního systémuDataset obsahuje anonymizovaná data z dotazníkového šetření mezi autory a výkonnými umělci zaměřeného na jejich postoje k autorskému právu a zkušenosti s fungováním autorskoprávního systému. Data zachycují oblasti tvůrčí činnosti respondentů, jejich postavení jako autorů či výkonných umělců a způsob výkonu umělecké profese. Jádrem šetření jsou názory respondentů na význam autorského práva pro podp
Climateverse2026 · dataset · unknown
Jal Jeevan Mission Scheme Boards, Meghalaya, 2023-2024Geotagged locations of 1,763 scheme information boards put up under the Jal Jeevan Mission in Meghalaya, recorded between 2023 and 2024 and shown on a dashboard of the state's GIS portal. Each board is placed on the map and named by its scheme, village, block and district, with the zone, circle, division and agency responsible. It is useful for finding where schemes have been marked on the ground
Climateverse2026 · dataset · unknown
District Climate Vulnerability Index, MeghalayaA district climate vulnerability index for Meghalaya from NITI Aayog, with the eight indicators behind it, such as women in the workforce, per capita income, livestock, rural banks and landless households. Values are normalised scores, not measurements, for a single assessment around 2019-20. Published through the Meghalaya Data Portal. Useful for comparing districts on relative vulnerability and
Climateverse2026 · dataset · unknown
Multi-Sector Map of MeghalayaThe Meghalaya State GeoHub master viewer bringing together fourteen thematic services: land use and agriculture, soils and agroclimatic zones, forest cover, type and carbon, protected areas, forest fires (2009 to 2023), springs, watersheds and drainage, roads, villages (with census and projected population to 2036), schools, health facilities, banks, airports, assembly constituencies and administr
CSDA Dataverse + Czech Social Science Data Archive2026 · dataset · unknown
Umělci v důchodovém věkuDataset obsahuje anonymizovaná data z dotazníkového šetření zaměřeného na sociální a ekonomickou situaci autorů a výkonných umělců v souvislosti se zabezpečením ve stáří. Šetření mapuje profesní působení respondentů v jednotlivých oblastech umění a kultury, charakter jejich výdělečné činnosti, účast na systému sociálního pojištění a využívání dalších forem spoření na stáří. Zahrnuje rovněž údaje o
Borealis2026 · dataset · unknown
Labour Force Survey, August 2026 [Canada]LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the p
Climateverse2026 · dataset · unknown
Mission Antyodaya Village Amenities Survey, MeghalayaResults of the Mission Antyodaya survey for Meghalaya around 2019-20, at district, block, gram panchayat and village level: population and households, and the presence of, or distance to, banks, roads, transport, electricity, markets, drinking water, schools, health facilities, housing and agriculture services. Published through the Meghalaya Data Portal. Useful for finding villages, panchayats an
Climateverse2026 · dataset · unknown
Household Debt and Assets (NSS 2013), MeghalayaHousehold debt and assets in Meghalaya from the National Sample Survey round on debt and investment (2013), for rural cultivator and non-cultivator households and urban self-employed and other households: average assets and debt, the share of households in debt, the debt-asset ratio, and spending on fixed capital and land. State level only. Published through the Meghalaya Data Portal. Useful as a
Climateverse2026 · dataset · unknown
Self Help Groups by Village, MeghalayaVillage-level counts of Self Help Groups supported by the National Rural Livelihood Mission in Meghalaya, shown on a dashboard of the state's GIS portal. For 5,496 villages it gives the number of groups and members, men and women, and members above and below the poverty line, with breakdowns by social category, religion and disability. It is useful for comparing how far the mission reaches across
Climateverse2026 · dataset · unknown
Anganwadi Centres, MeghalayaLocations and details of 5,900 Anganwadi centres in Meghalaya, with their district, block, village, project and sector, and their water, toilet and building facilities. Published by the Meghalaya State GeoHub as a map dashboard. Useful for finding centres and comparing facilities between districts and blocks; no dates are given.
Climateverse2026 · dataset · unknown
Schools with Enrolment, Teachers and Facilities, MeghalayaSchools across Meghalaya, 12,800 mapped with their UDISE code, category, management, year of establishment, location down to village and cluster, enrolment by class and teachers by gender, and facilities such as classrooms, toilets, drinking water, electricity, library, playground, ramps, laboratories and internet, on a Meghalaya State GeoHub viewer. Useful for mapping schools, comparing facilitie
Climateverse2026 · dataset · unknown
Schools, Enrolment and Amenities (UDISE 2022-23)Schools in Meghalaya from the Unified District Information System for Education (UDISE) for 2022-23: 14,439 schools mapped with management, category, location codes down to village, teachers by sex, enrolment by class and sex, pass numbers, building condition and amenities, alongside health facilities, open-schooling centres, clinics, roads and village boundaries, on a Meghalaya State GeoHub schoo
IISH Dataverse2026 · dataset · unknown
Don’t Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide ResearchSuicide and suicide-related behaviors are prevalent yet notoriously difficult to predict. Specifically, short-term predictors and correlates of suicide risk remain largely unknown. Ecological momentary assessment (EMA) may be used to assess how suicidal thoughts and behaviors (STBs) unfold in real-world contexts. We conducted a systematic literature review of EMA studies in suicide research to ass
IISH Dataverse2026 · dataset · unknown
Chronotype, daily affect and social contact: An ecological momentary assessment studyEveningness is associated with lower daily positive affect (PA). The relationship between negative affect (NA) and chronotype, however, is less consistent in the literature. Eveningness may be further characterized by increased social isolation, which could explain the associations between chronotype and PA/NA. In the present longitudinal study, we used ecological momentary assessment (EMA) to inv
Climateverse2026 · dataset · unknown
Border Area Development Programme Villages, MeghalayaFigures on population, housing, schools, drinking water, roads, health facilities, livelihoods and natural resources for 1,179 villages in Meghalaya's border areas under the Border Area Development Programme, also summed for 29 blocks and 9 districts. Published by the Meghalaya State GeoHub as a dashboard. Useful for comparing basic amenities between border villages and spotting gaps in services;