cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.16904/envidat.678
title: Assessment of thermal stabilisation measures based on numerical simulations at a Swiss Alpine permafrost site

description: This work presents the numerical study of the thermal stabilisation methods to slow this permafrost thawing, protecting from landscapes and infrastructure damaging at an alpine site. We investigate different methods based on passive and active cooling system. The best approach mixes both methods and manages heat flow, potentially allowing excess energy to be used locally. This dataset allows one to test and check the different thermal stabilisation methods.
description: Resource Title: sharaborova_et_al_2025_dataset.zip
 Size: 1248189543 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/b5bd542f-9032-48f8-a444-a1bb24dadbd2/resource/630ff31f-7739-4ad7-b458-eeab77f71871/download/sharaborova_et_al_2025_dataset.zip
 Description:
DOI: 10.16904/envidat.701
title: Energyscape 2 - Comparing stated preferences of renewable energy landscapes in Switzerland in 2018 and 2022

description: This repository presents the basis data of both the Energyscape 1 (2018) and the Energyscape 2 (2022) survey about renewable energy infrastructure related landscape preferences in Switzerland. Both datasets are based on Swiss-national representatative online panel surveys (BILENDI). Information about the choice design and landscape visualizations can be derived from https://www.sciencedirect.com/science/article/pii/S2352340921003097fig0001
description: Resource Title: Energyscape1 & Energyscape2 basis data
 Size: 136853 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/e3451afd-f9d8-41ce-a7dc-d3f9fad95e67/resource/9081e5b8-6f16-4873-84f3-f8ab6d030cf2/download/energyscape12_basis_ce1_swth_sel.csv
 Description: This is the already cleaned and ready to use basis dataset for the comparison of stated choice preferences across the 2018 (Energyscape 1, n=844) and the 2022 (Energyscape 2, n=1006) surveys. The first four numbers in the first column "sys_RespNum" of the dataset refer to the year of the surveys, followed by the original Respondent ID. The date can be uploaded as is to analysis software (like Sawtooth) and can be filtered by survey with the help of the very last column "surveytime".
description: Resource Title: Energyscape2 Covariates
 Size: 12192 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/e3451afd-f9d8-41ce-a7dc-d3f9fad95e67/resource/9d6902f1-784f-4a0a-be6a-aa800b430beb/download/energyscape2_n1006_basis_cov_items_recoded.csv
 Description: This data includes the recoded covariates used in the publication (Cov_1, Cov_2, Cov_3). They can be merged with the column "sys_RespNum" to the basis dataset of the Energyscape 2 survey.
description: Resource Title: Energyscape2 basis data with original Respondent ID
 Size: 70331 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/e3451afd-f9d8-41ce-a7dc-d3f9fad95e67/resource/4ad511f8-f29a-4b71-bd2c-8b2e9e541ee6/download/energyscape2_n1006_basis_ce1_swth_sel.csv
 Description: This is solely the Energyscape 2 basis data including the original respondents ID "sys_RespNum" to be merged with the covariated data set.
DOI: 10.16904/envidat.681
title: Alpine3D Climate Data

description: Alpine3D (A3D) runs between 1950 and 2022 in hourly resolution. Simulations are run for every year separately (year n = Sept. n-1 to Aug. n), starting again with no snow every 1st of September (i.e. there is no snow accumulation from year to year). 
Meteorological conditions over the past 70 years were obtained from several datasets: ERA5 providing the hourly data over the full 1950-2022 period, IMIS and MeteoSuisse allowing to validate and correct the downscaled ERA5 data. ERA5 data were downscaled to a 50m grid using Toposcale (Fiddes et al., 2015) (see also https://github.com/joelfiddes/toposcale). This downscaling tool allowed us to obtain a 50 m grid from the ERA5 data including the effect of the local topography. The meteorological input data was further sued to run the 3-dimensional snow model Alpine 3D. 
Temperature correction is based on an additive delta change correction following the procedure using harmonic functions filtering described by Michel et al. (2021). Given the hourly timestep provided by ERA5 and Toposcale, we defined an hourly delta change. In practice, this was done by repeating 24 times the delta-change derivation from Michel et al. (2021) to obtain a day-of-the-year delta for each of the 24 hours of the day.
The simulation covers the slope at Spitze Stei region with precipitation scaled using snow height measured by a drone flight. One of the 70 years runs was computed with a precipitation redistribution with the idea to mimic snow transport and preferential deposition. The precipitation redistribution grid was based on a single snow height measurement: one snow-free drone flight on 01.10.2021 and one peak snow season flight on 27.03.2022. The precipitation on each pixel is computed as i) multiplying the disaggregated KAS precipitation by the average slope elevation. ii) multiplying that value on each pixel with the weight obtain from the snow height as HS pixel/HS mean.
description: Resource Title: Alpine3D climate data
 Size: 549755813888 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.681%2F
 Description:
DOI: 10.6084/m9.figshare.30483851
title: activpal_cp

description: <b>Background</b>Children with cerebral palsy (CP) typically accumulate less physical activity and more sedentary time than typically developing (TD) peers, but evidence from Middle Eastern settings is limited. We compared anthropometry and device-measured daily posture and movement between Saudi children with CP and TD peers.<b>Methods</b>In a cross-sectional comparative study, school-aged children with CP (GMFCS I–III) and age-matched TD peers wore an activPAL inclinometer over seven days. Height, weight, and BMI percentiles were assessed and the activPAL outcomes included time spent sitting and lying, standing, and stepping; sit-to-stand transitions; sedentary bout accumulation; and reciprocal leg movement (RLM) epochs.<b>Results</b>Twenty-nine children were analyzed (CP n=14; TD n=15). Compared with TD peers, the CP group showed a markedly leaner anthropometric profile with a higher prevalence of underweight. Posture-resolved monitoring indicated a behavioral pattern of greater sedentary accumulation, less time upright, and fewer daily transitions in CP. Stepping was characterized by shorter, lower-intensity RLM epochs, and sedentary time was accrued in longer, less fragmented bouts. In adjusted analyses, several posture and stepping metrics varied with body size indices, suggesting links between anthropometry and day-to-day movement behavior.<b>Conclusions</b>Children with CP exhibited distinct posture and movement profiles alongside lower weight and BMI relative to TD peers. The activPAL provided clinically interpretable metrics that can inform family counselling and rehabilitation planning. Strategies that reduce prolonged sedentary accumulation and support safe, frequent stepping—while accounting for growth and body composition—may help optimize health and participation in CP.
DOI: 10.6084/m9.figshare.30483851.v1
title: activpal_cp

description: <b>Background</b>Children with cerebral palsy (CP) typically accumulate less physical activity and more sedentary time than typically developing (TD) peers, but evidence from Middle Eastern settings is limited. We compared anthropometry and device-measured daily posture and movement between Saudi children with CP and TD peers.<b>Methods</b>In a cross-sectional comparative study, school-aged children with CP (GMFCS I–III) and age-matched TD peers wore an activPAL inclinometer over seven days. Height, weight, and BMI percentiles were assessed and the activPAL outcomes included time spent sitting and lying, standing, and stepping; sit-to-stand transitions; sedentary bout accumulation; and reciprocal leg movement (RLM) epochs.<b>Results</b>Twenty-nine children were analyzed (CP n=14; TD n=15). Compared with TD peers, the CP group showed a markedly leaner anthropometric profile with a higher prevalence of underweight. Posture-resolved monitoring indicated a behavioral pattern of greater sedentary accumulation, less time upright, and fewer daily transitions in CP. Stepping was characterized by shorter, lower-intensity RLM epochs, and sedentary time was accrued in longer, less fragmented bouts. In adjusted analyses, several posture and stepping metrics varied with body size indices, suggesting links between anthropometry and day-to-day movement behavior.<b>Conclusions</b>Children with CP exhibited distinct posture and movement profiles alongside lower weight and BMI relative to TD peers. The activPAL provided clinically interpretable metrics that can inform family counselling and rehabilitation planning. Strategies that reduce prolonged sedentary accumulation and support safe, frequent stepping—while accounting for growth and body composition—may help optimize health and participation in CP.
DOI: 10.15468/dl.p7n98e
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Johngarthia lagostoma"
 ]
}

 The dataset includes 174 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007306-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f844h
title: Occurrence Download

description: A dataset containing 887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasyscolia ciliata",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 887 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007307-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30238804
title: Call Me Maybe? - An Experimental Analysis of Donor Backlash to Voluntary Nonprofit Fraud Disclosure

description: Whether by embezzlement, theft, or other illegal actions, not-for-profit organizations (NFPs) must report significant asset diversions (i.e., fraud) on IRS Form 990. Given the inherent delay in providing annual tax filings, NFPs may choose to voluntarily alert donors to occurrences of fraud in a timelier manner. Prior research has not yet examined the effects of the source or context of such disclosures. In this study, we examine how the source of an NFP’s voluntary fraud disclosure affects donors’ subsequent giving decisions. We find that differently-sourced voluntary fraud disclosures lead to divergent levels of donor backlash depending on a donor’s prior involvement with the organization. Specifically, involved donors respond more favorably to a fraud disclosure made by the board of directors versus one made by management. Our findings have implications for how NFPs can communicate with donors about frauds that have taken place in ways that may minimize post-fraud organizational damage.
DOI: 10.6084/m9.figshare.30238804.v1
title: Call Me Maybe? - An Experimental Analysis of Donor Backlash to Voluntary Nonprofit Fraud Disclosure

description: Whether by embezzlement, theft, or other illegal actions, not-for-profit organizations (NFPs) must report significant asset diversions (i.e., fraud) on IRS Form 990. Given the inherent delay in providing annual tax filings, NFPs may choose to voluntarily alert donors to occurrences of fraud in a timelier manner. Prior research has not yet examined the effects of the source or context of such disclosures. In this study, we examine how the source of an NFP’s voluntary fraud disclosure affects donors’ subsequent giving decisions. We find that differently-sourced voluntary fraud disclosures lead to divergent levels of donor backlash depending on a donor’s prior involvement with the organization. Specifically, involved donors respond more favorably to a fraud disclosure made by the board of directors versus one made by management. Our findings have implications for how NFPs can communicate with donors about frauds that have taken place in ways that may minimize post-fraud organizational damage.
DOI: 10.34740/kaggle/dsv/13549076
title: Dataset jadwal event lariku.info
DOI: 10.15468/dl.dagcth
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-48.5676 -1.25905,-48.56511 -1.26989,-48.55782 -1.277,-48.55355 -1.26527,-48.5379 -1.24927,-48.52848 -1.23931,-48.51799 -1.21299,-48.53541 -1.21015,-48.56048 -1.22242,-48.5676 -1.25905))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 337 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007309-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbvmr6
title: Occurrence Download

description: A dataset containing 5894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((-180 -25,180 -25,180 25,-180 25,-180 -25))",
 "OccurrenceStatus is Present",
 "TaxonKey is Theobroma cacao"
 ]
}

 The dataset includes 5894 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007310-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17479265
title: Mouse brain scRNAseq of BL6 control and PS-19 / 5xFAD double transgenic
DOI: 10.5281/zenodo.17479266
title: Mouse brain scRNAseq of BL6 control and PS-19 / 5xFAD double transgenic
DOI: 10.15468/dl.tn3jp2
title: Occurrence Download

description: A dataset containing 2923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena tibialis",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2923 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007311-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sqsr2
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is On the Lathrobium fauna of Japan (Coleoptera: Staphylinidae: Paederinae)"
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007312-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ar3cyp
title: Occurrence Download

description: A dataset containing 2987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena fulvata",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2987 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007313-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjqngs
title: Occurrence Download

description: A dataset containing 1625899030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "Country is one of (United States of America, Mexico, Canada, Brazil, Colombia, Argentina, Panama, Ecuador, Bolivia (Plurinational State of), Paraguay)"
 ]
}

 The dataset includes 1625899030 records from 13612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007160-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bqzna
title: Occurrence Download

description: A dataset containing 4340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phoenix reclinata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4340 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007082-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1202601.10fu
title: SH1202601.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1202603.10fu
title: SH1202603.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1202604.10fu
title: SH1202604.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1202605.10fu
title: SH1202605.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1202607.10fu
title: SH1202607.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1202608.10fu
title: SH1202608.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.