en:
Dataset collected from dendroecological study on trunks of grapevines ('Chardonnay' cv.) infected by the "Flavescence dorée" phytoplasma (FDp) in Origlio (southern Switzerland) in 2019-2020. Ring widths were measured with cellSens (Olympus Corporation). Calculations and analysis were conducted within R.
The Flavescence dorée phytoplasma (FDp) causes a severe grapevine (Vitis vinifera) disease. Anatomical modification due to FDp infections are known to occur but research so far focused on stems and leaf tissues and, in particular, on their phloem structure. In this paper, we applied dendrochronological techniques on wood rings and analysed the anatomical structures of the trunk of the susceptible grapevine cultivar ‘Chardonnay’ in order to verify their response to FDp infections.
In this study, we tested the impact of FDp and drought stress on xylem ring width and also described phloem anomalies inside the trunk of grapevines. We concluded that drought and FDp infection both have a significant effect on ring width reductions and that FDp supersedes the effect of drought conditions (calculated after the SPEI index) in infected specimens.

en: dendroecology spei grapevine-yellows drought-stress southern-switzerland

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: EnviDat: the Environmental Data Portal

en: Impact of the “Flavescence dorée” phytoplasma on xylem growth and phloem anomalies in trunks of ‘Chardonnay’ grapevines (Vitis vinifera)

de:
Resource Title: Dataset 1
    Size: 4629 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3443f539-82b5-482f-8c2f-d7606ae29742/resource/2c167608-521e-4598-bb5f-5845cbd771c9/download/rizzoli-et-al.-2022_dataset1.csv
    Description: Sample identification, symptomatology (symptomatic vs. asymptomatic), coordinates (CH1903), phloem disarrangement class, drought-sensitivity, slope sector.

de:
Resource Title: Dataset 2. Ring width.
    Size: 17444 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/3443f539-82b5-482f-8c2f-d7606ae29742/resource/ff7a966f-943f-4dad-a28e-ac602b6eef07/download/rizzoli-et-al.-2022_dataset2_ringwidth.xlsx
    Description: Ring width measured with cellSens from slides.
Measures expressed as [μm] and arranged per ID (see dataset 1) and year.

dendroecology

display_name: dendroecology

drought-stress

display_name: drought-stress

grapevine-yellows

display_name: grapevine-yellows

southern-switzerland

display_name: southern-switzerland

spei

display_name: spei


$oid: OBSOLETE

en:
This repository contains the source code of the analysis presented in the related paper. The code can be found in the following github repository: https://github.com/Chelmy88/temporal_downscaling
This code can be used to perform temporal downscaling of meteorological time series from daily to hourly time steps and to perform the quality assessment described in the paper.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

en: switzerland quantile-mapping meteoswiss delta-change temporal-downscaling climate-change-scenarios imis alpine-regions r-script python

envidat

approval_status: approved

fr: EnviDat est le portail de données du WSL; il offre un accès uniformisé et réglementé aux données de surveillance et de recherche en matière d’environnement. Ce portail est capable d’héberger et de publier des ensembles de données précieuses et uniques, qui sont partagées aux quatre coins de la planète. Ce faisant, EnviDat favorise la recherche et contribue à l’avancement des sciences environnementales.

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

it: EnviDat è il portale dati del WSL che fornisce un accesso unificato e gestito ai dati di monitoraggio ambientale e di ricerca. Il portale ha la capacità di ospitare e pubblicare serie di dati preziosi e unici che vengono condivisi in tutto il mondo. Così facendo, EnviDat promuove la ricerca e contribuisce al progresso della scienza ambientale.

de: EnviDat: das Umwelt-Datenportal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

en: Source code for: Climate change scenarios at hourly time-step over Switzerland from an enhanced temporal downscaling approach

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

de:
Resource Title: README
    Size: 2098 bytes
    Format: text/markdown
    URL: https://www.envidat.ch/dataset/73aa91a9-61b6-473c-9962-8d4c28016191/resource/0ebfca71-d997-4586-93fe-7b6fcce8bc0f/download/readme.md
    Description:

format: markdown

de:
Resource Title: 1_downscaling
    Size: 13945 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73aa91a9-61b6-473c-9962-8d4c28016191/resource/3aa56f6a-4e60-4ba7-866a-e27b06315bea/download/1_downscaling.zip
    Description: Python scripts to perform the temporal downscaling

format: ZIP

media_type: application/zip

de:
Resource Title: 2_assessment
    Size: 12817 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73aa91a9-61b6-473c-9962-8d4c28016191/resource/8990361d-87b0-4320-9d79-7788832ffa1d/download/2_assessment.zip
    Description: Python and R scripts to perform the data quality analysis

de:
Resource Title: LICENSE
    Size: 35149 bytes
    Format: No Info
    URL: https://www.envidat.ch/dataset/73aa91a9-61b6-473c-9962-8d4c28016191/resource/f8e60185-27c1-4abf-ba3e-e272d86c52c8/download/license
    Description:

alpine-regions

display_name: alpine-regions

climate-change-scenarios

display_name: climate-change-scenarios

delta-change

display_name: delta-change

imis

display_name: imis

meteoswiss

display_name: meteoswiss

python

display_name: python

quantile-mapping

display_name: quantile-mapping

r-script

display_name: r-script

switzerland

display_name: switzerland

temporal-downscaling

display_name: temporal-downscaling


en: This report presents past observations and projects the future development of water temperature in Swiss lakes and rivers. Projections are made until the end of the 21st century using the CH2018 climate scenarios. Besides climate change effects on temperature, we also discuss effects on discharge for rivers, and effects on the thermal structure, and specifically the seasonal mixing regime and ice cover of lakes.

en: switzerland hydrology lake hydro-ch2018 climate-change river climate-change-scenarios

en: Hydro-CH2018 Evolution of stream and lake water temperature under climate change

format: PDF

climate-change

display_name: climate-change

hydrology

display_name: hydrology

lake

display_name: lake

river

display_name: river


en: In controlled model forest ecosystems young trees were exposed to heavy metals in the soil and to acid precipitation. On spruce trees Lymantria monacha caterpillars and Cinara pilicornis aphids and on willow Pterocomma pilosum aphids were reared and monitored. Developmental time and fecundity of L. monacha were recorded and in aphids colony growth was measured.

en: cinara-pilicornis lymantria-monacha spruce phenols pterocomma-pilosum willow

en: Plant-mediated effects of heavy metals and acid rain on feeding aphids and caterpillars

cinara-pilicornis

display_name: cinara-pilicornis

lymantria-monacha

display_name: lymantria-monacha

phenols

display_name: phenols

pterocomma-pilosum

display_name: pterocomma-pilosum

spruce

display_name: spruce

willow

display_name: willow


en: The population dynamics of eruptive moths were monitored with pheromone traps and the composition of the larvae's foodplants were analyzed for water content, nitrogen and total phenolics. Moth catches cover a period of 20 years, leaf analyses 10 years. For Zeiraphera griseana (= Z. diniana) only needle analyses are available. The corresponding data on the moth population dynamics are property of A. Fischlin, ETH Zürich, and will be made available on EnviDat as well.

en: nun-moth larch-budmoth flight-traps gypsy-moth phenol spongy-moth nitrogen

en: Monitoring of Lymantria dispar, Lymantria monacha and Zeiraphera griseana and host food quality in the Swiss Alps

flight-traps

display_name: flight-traps

gypsy-moth

display_name: gypsy-moth

larch-budmoth

display_name: larch-budmoth

nitrogen

display_name: nitrogen

nun-moth

display_name: nun-moth

phenol

display_name: phenol

spongy-moth

display_name: spongy-moth


en: Ips typographus was reared in climate chambers at constant temperatures of 12, 15, 20, 25, 30 and 33°C. Developmental times from egg to teneral beetle stages and daily oviposition of females from preoviposition phase to their death were recorded. From these data life tables were computed and the data were used for modelling.

en: larvae maturation-feeding fecundity ips-typographus life-table spruce-bark-beetle

en: Temperature-dependent development and oviposition of the spruce bark beetle Ips typographus

fecundity

display_name: fecundity

ips-typographus

display_name: ips-typographus

larvae

display_name: larvae

life-table

display_name: life-table

maturation-feeding

display_name: maturation-feeding

spruce-bark-beetle

display_name: spruce-bark-beetle


en: In an expanding bark beetle (Ips typographus) infestation spot emergence traps were installed on the stems of newly infested spruce trees capturing all emerging insects during several consecutive years. Two locations were sampled on elavations with univoltine and bivoltine generations, respectively. Bark beetles and their insect predators and parasitoids were identified to species level by specialists.

en: univoltine parasitoids antagonists bivoltine predators spruce ips-typographus scolytinae

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: EnviDat: the Environmental Data Portal

en: Emergence dynamics of natural enemies of spruce bark beetles

antagonists

display_name: antagonists

bivoltine

display_name: bivoltine

parasitoids

display_name: parasitoids

predators

display_name: predators

scolytinae

display_name: scolytinae

univoltine

display_name: univoltine


en: The Federal Office for the Environment (FOEN) is responsible for granting exemptions for forest clearances that in principle are prohibited in Switzerland. Initiators of infrastructure projects have to submit an examption approval request to the cantonal forest administration which has to inform the FOEN. The FOEN thus administers a dataset of forest clearance requests and approval decisions that can be requested there. This dataset contains information on a coding of the content of all the forest clearance requests between 2001 and 2017, that elicits whether the reason for the clearance can be attributed to "sustainable economy" objectives such as "green economy", "bioeconomy" and "circular economy".

en: circular-economy bioeconomy forest-clearances sustainable-economy green-economy atree

en: Content coding of exemption approval decisions for forest clearances

envi

en: Environment

format: CSV

atree

display_name: atree

bioeconomy

display_name: bioeconomy

circular-economy

display_name: circular-economy

forest-clearances

display_name: forest-clearances

green-economy

display_name: green-economy

sustainable-economy

display_name: sustainable-economy


en:
This data set provides estimates of annual fresh water fluxes related to sea-ice formation from ocean freezing and snow-ice formation, sea-ice melting, lateral transport of sea ice in the Southern Ocean over the period 1982 to 2008.It is derived from a mass balance calculation of local sea-ice volume change and divergence from satellite data and sea-ice reconstructions. The mass balance is calculated on a daily basis and fluxes are then integrated over the entire year, where a year is defined from March to February of the next year (i.e. from March 1982 to February 2009). This approach combines multiple products of sea-ice concentration (Cavalieri & Parkinson, 2008;Comiso, 1986; Meier et al., 2013), sea-ice thickness (Kurtz & Markus, 2012; Massonnet et al., 2013; Worby et al., 2008), and sea-ice drift (Fowler et al., 2013; Kwok 2005; Schwegmann et al., 2011). For a detailed description of the method see Haumann et al. (2016). The data set is derived to estimate large-scale (regional to basin-scale) fluxes on an annual basis. Our confidence is reduced on a grid cell basis, such as for single coastal polynyas, where the method and underlying data induce large, unknown uncertainties.
_Disclaimer: This data set is free to use for any non-commercial purpose at the risk of the user and the authors do not take any liability on the use of the data set. The authors assembled the data set carefully and assessed accuracy, errors, and uncertainties. Please contact the authors if you find any issues._
Related publication: http://www.nature.com/nature/journal/v537/n7618/full/nature19101.html (doi:10.1038/nature19101)
Disclaimer: This data set is free to use for any non-commercial purpose at the risk of the user and the authors do not take any liability on the use of the data set. The authors assembled the data set carefully and assessed accuracy, errors, and uncertainties. Please contact the authors if you find any issues.

en: physical-oceanography salinity polar forcing southern-ocean sea-ice-volume satellite transport freshwater-flux sea-ice mass-balance sea-ice-divergence freezing salt melting antartic climate-change cryospheric-science

en: Antarctic sea-ice freshwater fluxes associated with freezing, transport, and melting

de:
Resource Title: AnIceFlux_v01_annual_1982-2008.nc
    Size: 1493303 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/b16a0901-3abe-4da0-b61e-cdb80c59ba63/resource/5de37dd3-e6a7-41b4-b97a-21b14734b861/download/aniceflux_v01_annual_1982-2008.nc
    Description: Data in NetCDF4 CF-1.6 format

de:
Resource Title:  AnIceFlux_v01_clim_mean_1982-2008.nc
    Size: 260945 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/b16a0901-3abe-4da0-b61e-cdb80c59ba63/resource/6a315e6d-4c92-4f85-b131-92fd87853b65/download/aniceflux_v01_clim_mean_1982-2008.nc
    Description: Data in NetCDF4 CF-1.6 format

de:
Resource Title: Explanatory Document
    Size: 379128 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/b16a0901-3abe-4da0-b61e-cdb80c59ba63/resource/a2d8430f-dc92-4a03-b3d6-6661b553bdd1/download/aniceflux_v01.pdf
    Description:

media_type: application/pdf

de:
Resource Title: Link to Related Publication
    Size: 1 bytes
    Format: application/pdf
    URL: http://www.nature.com/articles/nature19101.epdf?author_access_token=dtLqMQ3Ss6p16tymoagae9RgN0jAjWel9jnR3ZoTv0PH2BR1NrVw3zxcEnl7ViU5pKp8iHAlc_ntQx82EiRMqFRuGOR0VueOUVoGWzy8lSzML6YUBUMMZ5f4LYCdK8Ca
    Description:

antartic

display_name: antartic

climate-change

display_name: climate-change

cryospheric-science

display_name: cryospheric-science

forcing

display_name: forcing

freezing

display_name: freezing

freshwater-flux

display_name: freshwater-flux

mass-balance

display_name: mass-balance

melting

display_name: melting

physical-oceanography

display_name: physical-oceanography

polar

display_name: polar

salinity

display_name: salinity

salt

display_name: salt

satellite

display_name: satellite

sea-ice

display_name: sea-ice

sea-ice-divergence

display_name: sea-ice-divergence

sea-ice-volume

display_name: sea-ice-volume

southern-ocean

display_name: southern-ocean

transport

display_name: transport


en: After a major dieback of Scots pines in the Valais, an inner Alpine valley in Switzerland, the colonization of differently vigorous pines by stem and branch insects was investigated to assess their role in tree mortality. At 2 locations, the needle loss (defoliation) of some 500 pine trees was assessed twice a year. Of these trees, 34-36 trees were cut each year between 2001-2005 across all defoliation classes. From each tree, two 75-cm bolts were cut from both the stem and thick branches. They were incubated in photo-eclectors (metal cabinets) set up in a greenhouse where the insects could develop under the bark. The emerged adults were collected in water-filled eclector boxes and identified to species level by specialists. Attack time was estimated from the development time of each insect species emerged. The colonisation densities of the trees were related to the transparency level of each host tree at the time of attack.

en: wood-wasps pissodes defoliation decline ips-acuminatus bark-beetles phaenops tomicus sirex pinus

en: Infestation of Scots pines with different vitalities by bark and wood boring insects

bark-beetles

display_name: bark-beetles

decline

display_name: decline

defoliation

display_name: defoliation

ips-acuminatus

display_name: ips-acuminatus

phaenops

display_name: phaenops

pinus

display_name: pinus

pissodes

display_name: pissodes

sirex

display_name: sirex

tomicus

display_name: tomicus

wood-wasps

display_name: wood-wasps


en:
This dataset was used to analyze the inter-observer error (i.e. pseudoturnover) in vegetation surveys for the publication Boch S, Küchler H, Küchler M, Bedolla A, Ecker KT, Graf UH, Moser T, Holderegger R, Bergamini A (2022) Observer-driven pseudoturnover in vegetation monitoring is context dependent but does not affect ecological inference. Applied Vegetation Science.
In the framework of the project "Monitoring the effectiveness of habitat conservation in Switzerland", we double-surveyed a total of 224 plots that were marked once in the field and then sampled by two observers independently on the same day. Both observers conducted full vegetation surveys, recording all vascular plant species, their cover, and additional plot information. We then calculated mean ecological indicator values and pseudoturnover.
The excel file contains two sheets:
1) Raw species lists of the 224 plots conducted by two different observers. Woody species are distinguished in three layers: H (herb layer; woody species -0.5 m in height), S (shrub layer; woody species 0.5–3 m in height) and T (tree layer; woody species -3 m in height). "cf." indicates uncertain identification, "aggr." indicates that the plant was identified only to the aggregate level. Cover was estimated for each species using a modified Braun-Blanquet scale (r ≙ -0.1%, + ≙ 0.1% to -1%, 1 ≙ 1% to -5%, 2 ≙ 5% to -25%, 3 ≙ 25% to -50%, 4 ≙ 50% to -75%, 5 ≙ 75% to -100%).
2) File used for the linear mixed effects model.

en: dry-grassland long-term-biodiversity-monitoring raised-bog pseudoturnover observer-error inter-observer-difference vegetation-survey flood-plain fen ecological-indicator-value

en: Observer-driven pseudoturnover in vegetation surveys

format: XLS

dry-grassland

display_name: dry-grassland

ecological-indicator-value

display_name: ecological-indicator-value

fen

display_name: fen

flood-plain

display_name: flood-plain

inter-observer-difference

display_name: inter-observer-difference

long-term-biodiversity-monitoring

display_name: long-term-biodiversity-monitoring

observer-error

display_name: observer-error

pseudoturnover

display_name: pseudoturnover

raised-bog

display_name: raised-bog

vegetation-survey

display_name: vegetation-survey


en:
Dataset from the publication "L-Band Radiometry of Alpine Seasonal Snow Cover: 4 Years at the Davos-Laret Remote Sensing Field Laboratory", under review in IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. volume and issue TBD.
Dataset specifics are described in the publication.

en: davos-laret snow radiometer microwave l-band

de:
Resource Title: Davos-Laret Data 2017-2018 Winter
    Size: 316269368 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/a5104047-a61f-4625-b8f7-9b41c5281852/download/c2__winter2017_2018.zip
    Description:

de:
Resource Title: Davos-Laret Data 2019-2020 Winter
    Size: 922489429 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/788fd33f-602d-4c5f-98ef-8ddf20f08fa7/download/c4__winter2019_2020.zip
    Description:

de:
Resource Title: Davos-Laret Data 2018-2019 Winter
    Size: 864734454 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/b407b13d-2883-41cf-8fe3-e30f50eb837c/download/c3__winter2018_2019.zip
    Description:

de:
Resource Title: Davos-Laret Data 2016-2017 Winter
    Size: 475560722 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/cfcf69a0-9f71-452c-9487-bc4ef23b65fe/download/c1__winter2016_2017.zip
    Description:

de:
Resource Title: Snowpit data from SLF
    Size: 23783 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/a461f8ef-077e-4827-8f2c-533636e6d9df/download/snowpit_c1-c4.zip
    Description: In-situ characterization data from Davos-Laret snowpits.

de:
Resource Title: Publications
    Size: 93441479 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/fdbeb1dc-a8b9-4179-aa01-7d7debfce003/download/publications.zip
    Description:

davos-laret

display_name: davos-laret

l-band

display_name: l-band

microwave

display_name: microwave

radiometer

display_name: radiometer

snow

display_name: snow


en:
The R script IRFnnhs.R, which efficiently estimates impulse response functions for environmental systems that are nonlinear, nonstationary, or heterogeneous, based on their input and output time series.
Scripts and results for a series of benchmark tests are also provided, to accompany Kirchner, J.W., Impulse response functions for heterogeneous, nonstationary, and nonlinear systems, estimated by deconvolution and demixing of noisy time series, _Sensors_, 22(9), 3291, https://doi.org/10.3390/s22093291, 2022.

en: greens-function impulse-response-function system-identification irf irfnnhsr transfer-function arma-noise time-series-analysis de-mixing deconvolution nonlinear-deconvolution

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

en: Impulse response functions for nonlinear nonstationary and heterogeneous systems

de:
Resource Title: Impulse Response Function script
    Size: 123160 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/c093641a-874e-4f8e-a04d-62a07d3855e1/resource/7fb322da-6bd9-4e68-a8e7-33383b1db36c/download/irfnnhs.r
    Description:

de:
Resource Title: Benchmark demonstration scripts and results
    Size: 27341717 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c093641a-874e-4f8e-a04d-62a07d3855e1/resource/b2a57bb7-8466-4b71-9837-d500e8fa0226/download/benchmark-demonstration-scripts-and-results.zip
    Description:

de:
Resource Title: README file for IRFnnhs.R and benchmark demonstration scripts
    Size: 1315 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/c093641a-874e-4f8e-a04d-62a07d3855e1/resource/de609e80-41d7-41d8-8c73-a58d2c2fdc83/download/irf-code-folder-readme.txt
    Description:

format: TXT

media_type: text/plain

arma-noise

display_name: arma-noise

de-mixing

display_name: de-mixing

deconvolution

display_name: deconvolution

greens-function

display_name: greens-function

impulse-response-function

display_name: impulse-response-function

irf

display_name: irf

irfnnhsr

display_name: irfnnhsr

nonlinear-deconvolution

display_name: nonlinear-deconvolution

system-identification

display_name: system-identification

time-series-analysis

display_name: time-series-analysis

transfer-function

display_name: transfer-function


en:
In 1994 a large area of mountain spruce forest was infested by the European spruce bark beetle (Ips typographus) in the Gandberg forest near Schwanden, canton Glarus, Switzerland (46.99145 N, 9.10768 E, 1300 m a.s.l.). In a perimeter of approx. 13 ha, 50 infested dead spruce trees were selected and labelled in 1994. The trees were randomly distributed across the whole perimeter and attributed to 5 groups of 10 trees of approx. 25-40 cm diameter each. In each of the following 5 years (1995-1999), the trees of one of these groups were cut in early spring and transported by helicopter to a vehicle-accessible road. Of each log, two bolts of 1.5 m length were cut, one from the base and one from the beginning of the crown. The bolts were transported by truck to the institute WSL and exposed in emergence eclectors (metal cabinets of approx. 2.0x0.5x0.5 m) in a greenhouse to let the insects emerge. Each tree was left 2 years in the eclectors to allow insects with more than 1 year development time to emerge. During 2 months in the winter between the two exposure years the bolts were removed from the eclectors and exposed to ambient winter temperatures for chilling. They were then moved back to the eclectors in the greenhouse.
Additionally, 18 living unattacked trees were provided with a pheromone lure in early spring 1995 to induce new bark beetle attack. 10 infested trees were then cut and processed as described above.
The water-filled emergence traps of the eclectors were emptied monthly-bimonthly and the insects were separated to taxonomic groups and eventually identified by specialists. Before disposing the logs, tree age was recorded by tree-ring-counting.

en: parasitoids pests antagonists predators spruce bark-beetles insects picea

de: EnviDat

en: Dynamics of insect natural enemies of bark beetles

envi

de: Umwelt

en: Environment

antagonists

display_name: antagonists

bark-beetles

display_name: bark-beetles

insects

display_name: insects

parasitoids

display_name: parasitoids

pests

display_name: pests

picea

display_name: picea

predators

display_name: predators

spruce

display_name: spruce


en: In 1989 a nation-wide survey on spruce seed and cone insects was carried out at 29 locations distributed across the 5 main geographic regions of Switzerland. The cones were incubated in a controlled environment chamber and the emerging insects were collected and identified. The cones were kept for three years to allow diapausing insects to emerge. The methods are described in more detail in the corresponding publications.

en: seed spruce cone seminivorous picea conophagous-insects

en: Survey of spruce seed and cone insects in Switzerland

cone

display_name: cone

conophagous-insects

display_name: conophagous-insects

seed

display_name: seed

seminivorous

display_name: seminivorous


en: This data set includes the modeling results described in the research article by Bobiller et al. (2020). All the figures in the article can be reproduced with the data provided.

en: snow-micro-mechanics snow-avalanche snow discrete-element-modelling snow-failure

en: Modeling snow failure with DEM

de:
Resource Title: Dataset
    Size: 268629 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a3ace234-0794-4b75-bf17-3790744ed665/resource/73b649d7-b035-4815-b97a-bd8ecdf97a27/download/data.zip
    Description: The zip file contains the data underlying the figures presented in Bobillier et al. (2019). The figures can be reproduced with the python file, which is also provided.

de:
Resource Title: Python file
    Size: 32003 bytes
    Format: text/x-python
    URL: https://www.envidat.ch/dataset/a3ace234-0794-4b75-bf17-3790744ed665/resource/bcd1cf92-6c73-4bf4-83fb-96b8fc7c93b9/download/plot_figures.py
    Description: Python file to reproduce the figures in Bobillier et al. (2019)

de:
Resource Title: Read-me
    Size: 174785 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/a3ace234-0794-4b75-bf17-3790744ed665/resource/8142e5f2-74cd-49ae-b64f-87d9600b8b53/download/read_me.pdf
    Description: The read-me file contains a description of all the data provided in the zip file.

discrete-element-modelling

display_name: discrete-element-modelling

snow

display_name: snow

snow-avalanche

display_name: snow-avalanche

snow-failure

display_name: snow-failure

snow-micro-mechanics

display_name: snow-micro-mechanics


en:
This database contains 1957 distribution maps of species from Fagales and Pinales constructed based on a method integrating polygon mapping and SDMs (Lyu et al., 2022).
To construct the maps, we first collected occurrence data from 48 different sources. According to the number of occurrences after data cleaning, three kinds of maps are constructed: (1) For species with more than 20 occurrences, we performed SDM and polygon mapping described in Lyu et al. (2022) and select the integration of the two layers as the distribution range; (2) For species with more than 4 but less than 20 occurrences, we only use polygon mapping to draw the distribution range; (3) For species with less than 4 occurrences, a 20-km buffer was generated around the occurrences as the distribution range. The maps were manually checked and evaluated (see Note S3 and Table S9 in Lyu et al., 2022 for details).

en: pinales species-distribution-model species-richness fagales species-occurrence species-range-map

en: Species distribution maps of Fagales and Pinales (GDPlants)

de:
Resource Title: Species range maps of species in Fagales and Pinales (with enough occurrences)
    Size: 37517772 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/aee8c2bd-ca0b-4de0-a41f-940dc11984e6/resource/6c946cd2-e08b-44e0-8fda-4ab01b6b43b9/download/species_maps.zip
    Description: species_map.zip includes species 1690 range maps generated based on the integrated method described in Lyu et al., (2022). File names with (polygon) indicate that this map is only generated by polygon mapping, as there are not enough occurrences for SDMs.

de:
Resource Title: Occurrence maps for species of Fagales and Pinales with few records
    Size: 32315283 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/aee8c2bd-ca0b-4de0-a41f-940dc11984e6/resource/9239265c-dba9-413d-9fc6-40beb3cb7368/download/point_buffers.zip
    Description: Point_buffer.zip includes 267 occurrence maps of species that do not have enough occurrence data for polygon mapping.

fagales

display_name: fagales

pinales

display_name: pinales

species-distribution-model

display_name: species-distribution-model

species-occurrence

display_name: species-occurrence

species-range-map

display_name: species-range-map

species-richness

display_name: species-richness


napf-ert-monitoring-data

en:
The dataset contains the electrical resistivity tomography (ERT) monitoring data from the publication Wicki and Hauck (2022). It contains the unprocessed monitoring data and the filtered monitoring data prior to the inversion process.
The data is organized in two zip-files:
*   Napf_Raw_BIN.zip: Raw monitoring data in bin-format
*   Napf_Filtered_DAT.zip: Filtered monitoring data in dat-format including topography of the monitoring line
The zip files contain the apparent resistivity measurements (ohm m) of the individual measurements. The naming convention of the files is according to following convention: site_profile_configuration_date_time.format
The file names contain following abbreviations:
*   Site: Napf
*   Profile: Hor (horizontal profile), Ver (vertical profile)
*   Configuration: WS (Wenner-Schlumberger configuration)
*   Date: Format YYYY-MM-DD
*   Time: Format hhmm

en: soil-moisture shallow-landslides ert monitoring early-warning

en: Napf ERT monitoring data

title_for_slug: napf-ert-monitoring-data

de:
Resource Title: ERT filtered monitoring data
    Size: 2820513 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/370d354c-e662-4fc2-8d1d-f46755cbed33/resource/52ece757-ff8f-4fe9-8405-0c077be5f3d9/download/napf_filtered_dat.zip
    Description: ERT filtered monitoring data in dat format

de:
Resource Title: ERT raw monitoring data
    Size: 6664841 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/370d354c-e662-4fc2-8d1d-f46755cbed33/resource/93a0c6a6-d2f6-441b-ad7c-efedb19a7583/download/napf_raw_bin.zip
    Description: ERT raw monitoring data in bin format

early-warning

display_name: early-warning

ert

display_name: ert

monitoring

display_name: monitoring

shallow-landslides

display_name: shallow-landslides

soil-moisture

display_name: soil-moisture


en:
This is the source code to compute rainfall thresholds for debris flows or landslides following Hirschberg et al. (2021).
 How to install and run the example
Pyhton has to be installed to run the codes. To make sure it works correctly, it is easiest to install Anaconda and create an environment with the right packages from the yml-file. To this end, in a command-line interpreter, change the working directory to where you saved this project and run the following:
`$ conda env create -f environment.yml`
`$ conda activate thresholds` or `$ source activate thresholds`
To run an example:
`$ python run_example()`
It will save a dat-file and a figure as Fig. 7 in Hirschberg et al. (2021), where more information can be found.
 License
GNU General Public License v3.0

en: illgraben landslide random-forest debris-flow python rainfall-thresholds

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: EnviDat: the Environmental Data Portal

en: Source code for: Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment

debris-flow

display_name: debris-flow

illgraben

display_name: illgraben

landslide

display_name: landslide

python

display_name: python

rainfall-thresholds

display_name: rainfall-thresholds

random-forest

display_name: random-forest


en:
Table of Content: 1. General context of the data set "lsUDPs" ; 2. Background and aims of the study using the data set lsUDPs; 3. The data set lsUDPs: 3.1 Selection of cases and data collection; 3.2 Data management and operationalisation
1. General context of the data set "lsUDPs"
The data set "lsUDPs" has been generated as part of the CONCUR research project (https://www.wsl.ch/en/projects/concur.html) led by Dr. Anna M. Hersperger and funded by the Swiss National Science Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the period 2016-2020. The CONCUR research project is interdisciplinary and aims to develop a scientific basis for adequately integrating spatial policies (in this case, strategic spatial plans) into quantitative land-change modelling approaches at the urban regional level. The first stage (2016-2017) of the CONCUR project focussed on 21 urban regions in Western Europe. The urban regions were selected through a multi-stage strategy for empirical research (see Hersperger, A. M., Grădinaru, S., Oliveira, E., Pagliarin, S., & Palka, G. (2019). Understanding strategic spatial planning to effectively guide development of urban regions. Cities, 94, 96–105. https://doi.org/10.1016/j.cities.2019.05.032 ).
2. Background and aims of the study using the data set lsUDPs
As part of the CONCUR project, a specific task was to examine the relationship between strategic spatial plans and the formulation and implementation (i.e. urban land change) of large-scale urban development projects in Western Europe.
Strategic urban projects are typically large-scale, prominent urban transformations implemented locally with the aim to stimulate urban growth, for instance in the form of urban renewals of deprived neighborhoods, waterfront renewals and transport infrastructures. While strategic urban projects are referred to in the literature with multiple terms, in the CONCOR project we call them large-scale urban development projects (lsUDPs).
Previous studies acknowledged both local and supra-local (or structural) factors impacting the context-specific implementation of lsUDPs. Local governance factors, such as institutional capacity, coordination among public and private actors and political leadership, intertwine with supra-local conditions, such as state re-scaling processes and devolution of state competencies in spatial planning, de-industrialisation and increasing social inequality. Hence, in implementing lsUDPs, multi-scalar factors act in combination.
Because the formulation and implementation of lsUDPs require multi-scalar coordination among coalitions of public and private actors over an extended period of time, they are generally linked to strategic spatial plans (SSPs). Strategic spatial plans convey collective visions and horizons of action negotiated among public and private actors at the local and/or regional level to steer future urban development, and can contain legally binding dispositions, but also indicative guidelines.
The key question remains as to what extent large-scale urban development projects and strategic spatial plans can be regarded as aligned. By alignment, or “concordance”, we mean that strategic projects are formulated and implemented as part of the strategic planning process (“high concordance”), or that the strategic role of projects is reconfirmed in (subsequent) strategic plans (“moderate concordance”). Lack of concordance is found when lsUDPs have been limitedly (or not at all) acknowledged in strategic spatial plans.
We assume that certain local and supra-local factors, characterising the development of the projects, foster (but not strictly “cause”) the degree of alignment between lsUPDs and SSPs. In this study, we empirically examine how, and to what extent, the concordance between 38 European large-scale urban development projects and strategic plans (outcome: CONCOR) has been enabled by five multi-scalar factors (or conditions): (i) the role of the national state (STATE), (ii) the role of (inter)national private actors (PRIVATE), (iii) the occurrence of supra-regional external events (EVENTS), (iv) the degree of transport connectivity (TRANSP), and (v) local resistance from civil society (RESIST). We adopted a (multi-data) case-based qualitative strategy for empirical research and applied the formalised procedure of within- and cross-case comparison offered by fuzzy-set Qualitative Comparative Analysis appropriate for the goal of this study. Based on set theory, QCA formally integrates contextual sensitivity to case specificities (within-case knowledge) with systematic comparative analysis (across-case knowledge).
The research question the data set has been created to reply to is the following: which conditions, and combinations of conditions, enable the concordance between large-scale urban development projects and strategic spatial plans?
The conditions (“independent variables”) considered are. STATE: the set of large-scale urban projects characterized by a high degree of state intervention and support in their formulation and implementation, PRIVATE: the set of large-scale urban projects characterized by a high degree of involvement of (inter)national private actors in their formulation and implementation, EVENTS: the set of large-scale strategic projects whose formulation and implementation have been strongly affected by unforeseen international events and/or global trends, TRANSP: the set of large-scale strategic projects with a high degree of road and/or transit connectivity, and RESIST: set of large-scale strategic projects whose realization has been characterized by resistances that have substantially delayed or modified the project implementation.
The outcome (“dependent variable”) under analysis is CONCOR: the set of large-scale urban projects having a high degree of concordance/alignment/integration with strategic spatial plans
3. The data set lsUDPs
      3.1 Selection of cases and data collection
To generate the current data set on large-scale urban development projects in European urban regions (data set "lsUDPs"), we identified 35 large-scale urban development projects in a sample of the 21 Western urban regions considered in the CONCUR project (see supra, Hersperger et al. 2019): Amsterdam, Barcelona, Copenhagen, Hamburg, Lyon, Manchester, Milan, Stockholm, Stuttgart. The criteria we followed to identify the 35 large-scale urban development projects are: geographical location, size (large-scale), site (located either in the city core or in the larger urban region) and urban function (e.g. housing, transportation infrastructures, service and knowledge economic functions). Employing these criteria facilitated the selection of diverse large-scale urban development projects while still ensuring sufficient comparability.
In 2016, we performed 47 in-depth interviews with experts in urban and regional planning and large-scale strategic projects and infrastructure (i.e. academics and practitioners) about the formulation, implementation and development (1990s–2010s) of each project in each of the 9 selected urban regions. On average, each interviewee answered questions on 3.1 large-scale urban development projects. Three cases were subdivided into two cases because a clear differentiation between specific implementation stages was identified by the interviewees (expansion of the Barcelona airport, cases “bcn_airport80-90” and “bcn_airport00-16”; realisation of Lyon Part-Dieu, cases “lyo_partdieu70-90” and “lyo_partdieu00-16”; MediaCityUK, cases “man_salfordquays80-00” and “man_mediacityuk00-16”). Therefore, from the initial 35 cases, the final number of analysed cases in the lsUDPs dataset is 38.
       3.2 The data set lsUDPs: Data management and operationalisation
Interviews were fully transcribed and analysed through MAXQDA (version 12.3, VERBI GmbH, Berlin, Germany), and intercoder agreement was evaluated on a sample of nine interviews. We also compiled “synthetic case descriptions” (SCD) for each case (totalling more than 160 SCDs) to spot potential inconsistencies among interviewees’ accounts and to facilitate completion of the “calibration table” for each case (see below). An online expert survey distributed to the interviewees (response rate 78%) helped systematise the information collected during the interviews. We also consulted both academic and gray literature on the case studies to check for possible ambiguity and inconsistencies in the interview data, and to solve discrepancies between our assigned set membership scores and questionnaire values. Site visits were also carried out to retrieve additional information on the selected cases.
For each case (i.e. each of the 38 selected large-scale urban development projects), we operationalised each condition (i.e. STATE, PRIVATE, EVENTS, TRANSP, RESIST) and the outcome (CONCOR) in terms of sets, for subsequent application of Qualitative Comparative Analysis. This process is called “calibration”; we used a number of indicators for each condition to qualitatively assess each large-scale project across the conditions. The case-based qualitative assessment was then transformed into fuzzy-set membership values. Fuzzy-set membership values range from 0 to 1, and should be conceived as “fundamentally interpretative tools” that “operationalize theoretical concepts in a way that enhances the dialogue between ideas and evidence” (Ragin 2000:162, in “Fuzzy-set Social Science”. Chicago: University Press). We employed a four-value fuzzy-set scale (0, 0.33, 0.67, 1) to “quantify” into set membership scores the individual histories of cases retrieved from interview data. Only the condition TRANSP was calibrated as a crisp-set (0, 1).
The translation of qualitative case-based information into numerical fuzzy-set membership values was iteratively performed by populating a calibration table following standard practices recently emerged in QCA when dealing with qualitative (interview) data.

en: urban-transformations land-use-change spatial-planning strategic-projects strategic-spatial-planning large-scale-urban-development-projects europe land-use-transformations

en: lsUDPS Large-scale urban development projects in European urban regions

envi

en: Environment

de:
Resource Title: QCA data set large-scale urban development projects
    Size: 1617 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/25ffb140-fb3f-43ac-9d24-16c92cac36aa/resource/e8bce8b1-64cc-4831-b5cc-496fd607364a/download/qca_prj_implementation.txt
    Description: Please refer to  the sections: 3. The data set lsUDPs: 3.1 Selection of cases and data collection; 3.2 Data management and operationalization in the Metadata for further details on this resource.

de:
Resource Title: QCA R script large-scale urban development projects Europe
    Size: 7968 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/25ffb140-fb3f-43ac-9d24-16c92cac36aa/resource/33fcd866-c6e6-4d16-a1ff-87363adb819c/download/1905_qca_prj_implementation.r
    Description: For the set up of this R script, we used the “QCA” (Duşa, 2019) and “SetMethods” (Oana and Schneider, 2018) R packages.

The following further resources were also used:
Dusa, A. (2019). QCA with R: A comprehensive resource. Springer: Berlin.
Schneider, C. Q., & Wagemann, C. (2012). Set-theoretic methods for the social sciences. A guide to qualitative comparative analysis. Cambridge: Cambridge University Press.
Thomann, E., Oana, I.-E., & Wittwer, S. (2018). Performing fuzzy- and crisp set QCA with R. A user-oriented beginner's guide. Retrieved from http://www.evathomann.com/links/qca-r-manual

europe

display_name: europe

land-use-change

display_name: land-use-change

land-use-transformations

display_name: land-use-transformations

large-scale-urban-development-projects

display_name: large-scale-urban-development-projects

spatial-planning

display_name: spatial-planning

strategic-projects

display_name: strategic-projects

strategic-spatial-planning

display_name: strategic-spatial-planning

urban-transformations

display_name: urban-transformations


en:
The present dataset is part of the report titled Gradinaru S.R., Hersperger A.M., Schmid F. (2021). Deriving Planning Intentions from written planning documents. Report on CONCUR Project- From plans to land change: how strategic spatial planning contributes to the development of urban regions.
The data corresponds to the data collected as part of the DPI Method for deriving all PIs contained in a plan (open coding) as detailed in section 4 of the report. The method involved reading the plans to break down of information in meaningful discrete “incidents” or planning intentions. To identify the planning intentions, the starting points were represented by a) the structuring of the plans in chapters and sub chapters and b) the themes that the plans addressed. Thus, the collected information was not grouped according to pre-defined categories of planning intentions, but rather put together as a list of intentions as revealed by each plan. As a result, we provide, for each case study, a document (named [Urban region name] PI as defined in the plan) which contains:
	Date when the information was filled in.
	Name of the urban region and analysed strategic spatial plan .
	A list of all planning intentions contained in a plan, with each PI being addresses as follows:
	Name of PI as it appears in the plan
	Translated name of the PI (i.e. short name for easy understanding of the meaning)
	Explanation regarding the meaning of the PI
	Why the PI is considered a priority for the urban region
	Spatial information on the PI (text and cartographic representations).
In total, 14 documents are available, one for each case study. Documents contain up to 20 pages of information extracted from the plans together with explanations and notes taken during plan reading.

en: strategic-plans development-priorities urban-region spatial-information europe

en: Planning intentions in strategic plans of European urban regions

development-priorities

display_name: development-priorities

spatial-information

display_name: spatial-information

strategic-plans

display_name: strategic-plans

urban-region

display_name: urban-region


en:
This python code uses the Finite Element library FEniCS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format.
The dataset contains the code and the output data to reproduce the key Figure 5 from the related publication:
_Schürholt, K., Kowalski, J., Löwe, H.; Elements of future snowpack modeling - Part 1: A physical
instability arising from the non-linear coupling of transport and phase changes, The Cryosphere, 2022_
The code and potential updates can be accessed directly through git via:
https://gitlabext.wsl.ch/snow-physics/snowmodel_fenics

en: snow pattern-formation numerical-model vapor-transport python

en: A numerical solver for heat and mass transport in snow based on FEniCS

numerical-model

display_name: numerical-model

pattern-formation

display_name: pattern-formation

snow

display_name: snow

vapor-transport

display_name: vapor-transport


en: The present dataset is the summary of each planning intention (name, type, development pattern, land use, and link with governance and supra regionel conditions), the explanation of interest, and the mapping from plan.

en: copenhagen plan-evaluation land-use-planning strategic-planning land-change

en: Planning intention in Copenhagen urban region

copenhagen

display_name: copenhagen

land-change

display_name: land-change

land-use-planning

display_name: land-use-planning

plan-evaluation

display_name: plan-evaluation

strategic-planning

display_name: strategic-planning


en: The present content is part of the published paper Palka, G., Oliveira, E., Pagliarin, S., & Hersperger, A. M. (2021). Strategic spatial planning and efficacy: an analytic hierarchy process (AHP) approach in Lyon and Copenhagen. European planning studies, 29(6), 1174-1192. It contains the interviews, the survey, the report explaining survey and a xlxs table to save results.

en: strategic-planning analytical-hierarchy-process planning-efficacy governance land-use-planning

en: Planning efficacy - questionnaire and interviews

analytical-hierarchy-process

display_name: analytical-hierarchy-process

governance

display_name: governance

planning-efficacy

display_name: planning-efficacy


en: The present content is part of the published paper Palka, G., Oliveira, E., Pagliarin, S., & Hersperger, A. M. (2021). Strategic spatial planning and efficacy: an analytic hierarchy process (AHP) approach in Lyon and Copenhagen. European planning studies, 29(6), 1174-1192. It contains the jupyter notebook and sample data to compute Analytical Hierarchy Process, and a report on its use.

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: EnviDat: the Environmental Data Portal

en: Planning efficacy computation based on AHP


planning-intentions-lyon

en: lyon land-use-planning plan-evaluation strategic-planning land-change

en: Planning intentions Lyon

title_for_slug: planning-intentions-lyon

envi

en: Environment

lyon

display_name: lyon


en: land-change land-use-planning plan-evaluation strategic-planning hannover

en: Planning intention in Hannover urban region

hannover

display_name: hannover


en:
Title: Closer to causality: How effective is spatial planning in governing built-up land expansion in Fujian Province, China?
Research objective: The Major Function Oriented Zone (MFOZ), the first strategic spatial plan in China, is developed to achieve a coordinated regional development, through spatial regulation and zoning of development. The MFOZ he MFOZ divided land into four major function-oriented zones: The development-optimized zone, the development-prioritised zone, the development-restricted zone, and the development-prohibited zone. We used propensity score marching to evaluate the effect of the MFOZ on built-up land expansion in Fujian Province over three time intervals (2013–2015, 2013–2018 and 2013–2020).
Data: Data.xlsx contains the variables of 954 towns in Fujian Province.
Town_ID is the town unique ID;
County_ID is the county unique ID;
City_ID is the city unique ID;
MFOZ is the the development-prioritised zone and the development-restricted zone (The development-optimized zone and the development-prohibited zone are excluded);
Builtup_13_15 is the built-up land expansion from 2013 to 2015;
Builtup_13_18 is the built-up land expansion from 2013 to 2018;
Builtup_13_20 is the built-up land expansion from 2013 to 2020;
Dis2water is the Euclidean distance from the town to the nearest waterbody;
Slope is the the average slope within the town;
GDP is the average GDP in 2010 within the town;
Pop is the average population in 2010 within the town;
Road is the average population in 2010 within the town;
Dis2city is the Euclidean distance from the town to the nearest prefectural city centre;
Nei_Arable, Nei_Forest, and Nei_Built.up are the area of arable land, forest land, and built-up land neighbouring town i in 2010.
Method: we used the propensity score matching to compare the changes in the amount of built-up land in the towns of the development-prioritised zone with the matched towns of the development-restricted zone. Additionally, we used three evaluation intervals (2013–2015, 2013–2018 and 2013–2020) to evaluate temporal variation in the causal effect of the MFOZ on built-up land expansion.

en: the-major-function-oriented-zone built-up-land-change propensity-score-matching fujian-province causality selection-bias

en: Causal effect of MFOZ

built-up-land-change

display_name: built-up-land-change

causality

display_name: causality

fujian-province

display_name: fujian-province

propensity-score-matching

display_name: propensity-score-matching

selection-bias

display_name: selection-bias

the-major-function-oriented-zone

display_name: the-major-function-oriented-zone


en:
Title: Does zoning contain built-up land expansion? Causal evidence from Zhangzhou City, China.
Research objective: Built-up land zoning is an imporatant policy measure of land use planning (LUP) to contain built-up land expansion in China. We used a difference-indifference model with propensity score matching to estimate the average and annual effect of built-up land zoning on built-up land expansion in Zhangzhou City, China between 2010 and 2020.
Data: Data.dbf contains the varibles of 1662 villages in Zhangzhou Cities in 1995, 2000, 2005, 2010, 2013, 2015, 2018, and 2020.
XZQDM2 is villages' unique administrative ID;
Area is the land area of village i;
Dis2water is the Euclidean distance from village i to the nearest waterbody;
Dis2coastl is the Euclidean distance from village i to the nearest coastline;
Dis2city is the the Euclidean distance from village i to the city center;
Dis2county is the the Euclidean distance from village i to the nearest county center;
Elevation is the the average elevation within village i;
Dis2road is the the Euclidean distance from village i to the nearest road;
Nei_Built_ is the the area of built-up land (Nei Built.upit) in the neighboring villages of village i in year t;
Treated is a binary variable, Treated = 1 to the villages that were partially or entirely located inside the development-permitted zones, and Treated = 0 to the villages that were entirely located outside the development-permitted zones;
Intensity is the percentage of land that was assigned to the development-permitted zones in village i;
Year represent the year in 1995, 2000, 2005, 2010, 2013, 2015, 2018, and 2020;
BuLE is the dependent variable, representing built-up land expansion in village i in year t;
Town is town' unique administrative ID.
Method: First, we employed propensity score matching to overcome the selection bias and satisfy the parallel trend
assumption. Second, we built four Difference-in-Difference models to estimate the average and annual effect.

en: land-use-planning plan-evaluation land-use-change annual-effect psm-did

en: Causal effect of LUP

annual-effect

display_name: annual-effect

land-use-change

display_name: land-use-change

psm-did

display_name: psm-did


en:
The present dataset is part of the published scientific paper Bacău, S., Grădinaru, S. R., & Hersperger, A. M. (2020). Spatial plans as relational data: Using social network analysis to assess consistency among Bucharest’s planning instruments. Land Use Policy, 92.
The goal of this paper was to first develop a theoretical framework for external consistency assessment in spatial plans and then to test the framework with ten spatial plans of the Bucharest (Romania) region. Specifically, the paper has the following workflow: (i) to develop a framework for consistency assessment covering four categories of external consistency; (ii) to extract relevant plan statements from all plans on the four categories; (iii) to assign one-way, symmetrical and contradictory relationships between the extracted plan statements; and (iv) to assess consistencies, inconsistencies and contradictions between plans using directed and valued network analyses. All results were then validated by applying questionnaires to local experts.
The study focuses on a sample consisting of 10 spatial plans of Bucharest that: (1) are currently in force, (2) have spatial implications, (3) involve different administrative levels and (4) come from different planning sectors. The list of the reviewed planning documents can be found in Table 2 of the paper. The framework of consistency assessment contains 24 items, which can be found in Table 1 of the paper. All planning documents were read in respect to all items of the framework in order to extract plan statements used in the analysis. As a result, we provide the plan statement extracted from 10 plans on the 24 items of the framework. All data is in Romanian. The data was discussed qualitatively in the research paper.

en: plan-evaluation strategic-planning consistency bucharest land-use-planning

en: Plan statements for external consistency analysis: Evidence from Bucharest’s spatial plans

bucharest

display_name: bucharest

consistency

display_name: consistency

land-use-planning

display_name: land-use-planning


en: Forest owners of the Canton of Lucerne were survey about their willingness to employ different forest management measures to provicde climate regulation services by forests. Of the nearly 3000 forest owners that received an invitation to a online-survey and the 900 forest owners that received a paper and pencil survey, 1055 valid responses were received. The questionnaire contained a survey experiment in which 9 choice situations were presented to the respondents in which they had the choice between two options and the status quo. This survey experiment part of the survey was completed by 990 respondents.

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: ATREE forest owners survey about climate regulation services of forests

de:
Resource Title: ATREE survey on climate regulatoin services of forests in "stacked" format
    Size: 322474 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/65fb3d66-7f5b-41c2-9ee7-fb2cf73ac473/resource/8b355672-2af4-4ff2-a37c-2c200fd80729/download/casestudylu_forestowner_survey_envidat.csv.zip
    Description: The data contains information from XXX respondents. The information of each respondent is represented by 27 rows, one row for each of the three options that were presented in 9 choice situations. This is the "stacked" data-format resulting from a conjoint analysis survey experiment. The data has to be rearranged depending on the software used for analysis.

de:
Resource Title: Questionnaires für ATREE climate regulation of forests survey
    Size: 14397788 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/65fb3d66-7f5b-41c2-9ee7-fb2cf73ac473/resource/45f91294-e06b-48ce-bba9-cddb26444b10/download/questionnaires.zip
    Description: These are the questionnaires that were distributed among the forest owners (mostly as an online-form but for some respondents also as "paper-and-pencil" version) invited to participate in the survey. There are 10 versions of this questionnaire as the conjoint survey experiment was based on 10 different versions of the 9 choice situations that are presented in the survey, which were assigned randomly to the invited participants.

atree

display_name: atree

forest-carbon-sink

display_name: forest-carbon-sink

forest-management

display_name: forest-management

fuel-wood

display_name: fuel-wood

wood-carbon-sink

display_name: wood-carbon-sink


en: In Novdember 2019 about 19 experts on forest surface protection and forest clearances were invited to a workshop in order to discuss policy design and implementation problems regarding the offsetting of forest clearances. In Switzerland such offsetting can be provided under certain circumstances by implementing forest nature conservation measures in the forest instead of providing in-kind compensation, i.e. reafforestation on agricultural land. The workshop included the sorting of 34 statements – that were elaborated beforehand, partially also with help of the participants – according to the "Q-methodology" survey technique (participants arrange given statements about a certain subject into boxes that are normally distributed over a "agree - do not agree" answer scale). The participants included representatives from cantonal and national forest administrations, nature conservation NGOs, forest NGOs, spatial planning NGOs, private counseling enterprises as well as national, cantonal and regional forest owner organizations. The data allows a factor analytical differentiation of actors into groups with distinct positions towards forest clearance compensation as well as a positioning of these groups relative to each statement.

en: q-methodology offsetting nature-conservation atree reafforestation forest-clearances

envidat

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

en: ATREE Q-methodology statement sorts on forest clearances offsetting in the forest

de:
Resource Title: ATREE Q-Methodology Statements on Forest Clearances Offsetting (short version in English)
    Size: 5160 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/82dd7832-501f-4283-a6ba-7d0de444d1f6/resource/b4306273-eec0-4286-94e8-78d03941566e/download/neue_statements_umfrage_enshort.txt
    Description: This is a short version of the 34 statements in English, which might be more convenient for the analysis of the data.

de:
Resource Title: ATREE Q-Methodology Data on Forest Clearances Offsetting
    Size: 2652 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/82dd7832-501f-4283-a6ba-7d0de444d1f6/resource/bf8fbac4-13a2-44a1-9bd9-8ddc65aa2062/download/rodungsersatzworkshop_all_anonymized.csv
    Description: The data was collected in a workshop setting and they thus conducted their sorts individually, but not in an interview setting together with the interviewer, but alone but in interaction with other workshop participants. Hence, they had the possibility to discuss in groups or also with a wider number of participants. The independence of the answers is thus not fully guaranteed, however, observation during the workshop suggests that the participants were all sufficiently self-dependent, were able to do the sorts based on their experience and expertise and were not influenced heavily by other perspectives. The data is anonymized insofar, as there are no names of individual participants and not even names of organizations but only of types organizationa. The data should be ready to be analyzed with the "qmethod" package in R (as of Feburary 2021). Please note that this also requires data on the statements which are also included here in Englisch (short version) and German (original version).

media_type: text/csv

de:
Resource Title: ATREE Q-Methodology Statements on Forest Clearances Offsetting (original version in German)
    Size: 5904 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/82dd7832-501f-4283-a6ba-7d0de444d1f6/resource/d9edda1a-d887-47c7-83f7-92315317e203/download/neue_statements_umfrage.txt
    Description: These are 34 statements that were given the workshop participants (in German) to be sorted into a normal distribution grid according to the Q-Methodology procedure.

forest-clearances

display_name: forest-clearances

nature-conservation

display_name: nature-conservation

offsetting

display_name: offsetting

q-methodology

display_name: q-methodology

reafforestation

display_name: reafforestation


en: In January 2020 a social network analysis survey was conducted among forest policy stakeholders (at the organizational level) from the Canton of Lucerne as well as the national level. The aim was to elicit positions relative to a set of policy options currently discussed with respect to carbon mitigation and sequestration services of the forest, i.e. forest management and to establish information and collaboration network relations in order to identify actor coalitions as inspired by the "actor coalition framework" approach to policy analysis. Of the 66 questionnaires sent out, 51 were answered (77%). Only one additional organization was indicated as being missing from the provided list of stakeholder organizations.

en: stakeholder-analysis social-network-analysis forest-sink carbon-sequestration atree wood-sink

de: EnviDat

en: ATREE Social Network Analysis survey on policy options regarding CO2 mitigation and sequestration in wood and forest

envi

de: Umwelt

en: Environment

de:
Resource Title: SNA survey data stakeholder analysis Lucerne of the ATREE project
    Size: 189676 bytes
    Format: application/x-spss-sav
    URL: https://www.envidat.ch/dataset/2236e3a6-0812-422c-9060-c938ae75653e/resource/b00d6f0d-3d20-41ed-9551-a0302f43e62d/download/atree_sna_lucerne.sav
    Description: The survey was conducted online in a non-anonymized manner, however, the data provided here is anonymized, hence only the name and function of the stakeholder organization are contained but not the name of the person that answered the survey. Only one answer per organization has been collected. The data contains only the answers to the standardized questions (choice of predefined answer categories) but not those answers to open questions (comments). These are not relevant for interpretation of the rest of the data and may contain indications about the author.
The data is available as an SPSS Data file. It can be imported into R with:

library(foreign)
# ?read.spss explains options that might be adjusted, particularly regarding the value labels of variables
data <- read.spss("ATREE_SNA_Lucerne.sav",to.data.frame=T)
# variable labels contain the original question as posed in the questionaire
#?attributes
attributes(data)

de:
Resource Title: Questionnaire for ATREE SNA survey Lucerne
    Size: 318507 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/2236e3a6-0812-422c-9060-c938ae75653e/resource/5d53a115-3d89-4d02-b51a-f54c4cd93279/download/questionnaire_atree_sna_lucerne.pdf
    Description:

carbon-sequestration

display_name: carbon-sequestration

forest-sink

display_name: forest-sink

social-network-analysis

display_name: social-network-analysis

stakeholder-analysis

display_name: stakeholder-analysis

wood-sink

display_name: wood-sink


en: In April 2020, about 1700 forest owners of the plateau region of the Canton of Berne were invited to participate in a survey (virtually all of them received a conventional paper-pencil questionnaire) about their willingness to provide forest nature conservation measures in their forest to compensate forest clearances that cannot be compensated by afforestation. The questionnaire contained a survey experiment (conjoint analysis) that offered a choice between two options and the status quo in 9 decision-making situations. Of the 607 completed questionnaires that were returned the survey experiment was completed by about 400.

en: atree forest-clearances forest-policy forest-management nature-conservation biodiversity-offsetting

en: ATREE forest owners survey about forest clearances offsetting in the forest

de:
Resource Title: ATREE clearance offsetting survey data in "stacked" format
    Size: 428287 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/831b7331-4af0-496b-bcbe-ccc4067144a6/resource/d9b5b104-8708-4e51-bf88-b05946f1d42b/download/cebernall_stacked.csv.zip
    Description: The data contains information from 607 respondents. The information of each respondent is represented by 27 rows, one row for each of the three options that were presented in 9 choice situations. This is the "stacked" data-format resulting from a conjoint analysis survey experiment. The data has to be rearranged depending on the software used for analysis.

de:
Resource Title: Questionnaires für ATREE forest clearance offsetting survey
    Size: 20045829 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/831b7331-4af0-496b-bcbe-ccc4067144a6/resource/c141c54c-78af-4d72-b7a1-e7c2003d20b4/download/questionnaires.zip
    Description: These are the "paper and pencil" questionnaires that were distributed among the forest owners invited to participate in the survey. There are 10 versions of this questionnaire as the conjoint survey experiment was based on 10 different versions of the 9 choice situations that are presented in the survey, which were assigned randomly to the invited participants.

biodiversity-offsetting

display_name: biodiversity-offsetting

forest-policy

display_name: forest-policy


en: The present dataset is part of the published scientific paper Zhao C, Weng Q, Hersperger A M. Characterizing the 3-D urban morphology transformation to understand urban-form dynamics: a case study of Austin, Texas, USA. Landscape and urban planning, 2020, 203:103881. The overall objective of this paper is to understand urban form dynamics in the Austin metropolitan area for the periods 2006–2011 and 2011–2016. The study also aims to understand to what extent the changes in the built environment (in terms of ‘efficient growth’ versus ‘inefficient growth’) from the 1990s to 2016 in the Austin metropolitan area corresponded with ‘compact and efficient growth’ planning policy documents. The UMT distribution can be found in the paper. The area of transitioning UMT was provided in Table 2 and Table 3 can be found in the Appendix of the paper. A protocol was developed to perform the content analysis of the strategic plans and gather the data. The detailed list of protocol items can be found in Appendix B of the paper. This study demonstrates the advantage of applying Lidar data to characterize 3-D urban morphology type (UMT) transition and understand its dynamics, which helps develop a comprehensive understanding of the urbanization process and provides a tool for planning intentions and policies evaluation on urban development over time. The UMT maps can be found in Appendix A of the paper. The Lidar point datasets and the 30 × 30 m National Land Cover Database (NLCD) are the two main data sources of UMT mapping. Lidar datasets were gathered from different projects that had been conducted and collected by state agencies and other organizations between 2007 and 2017. Table A1 in the appendix in the paper shows the accuracies and acquisition parameters of the Lidar projects from 2007 to 2017. Land use/cover dynamics in Austin metropolitan area dataset provides Land use/cover patterns in the years 1992, 2001, 2004, 2006, 2008, 2011, 2013, 2016 with a spatial resolution of 30 meters. Since NLCD 1992 used a different classification system for the urban land classes, we first reclassified the NLCD 1992 using a customized Arcpy package.

en: austin landscape land-dynamics land-use urban-morphology

en: Land use/cover dynamics in Austin metropolitan area since 1992

austin

display_name: austin

land-dynamics

display_name: land-dynamics

land-use

display_name: land-use

landscape

display_name: landscape

urban-morphology

display_name: urban-morphology


en: The data results from a questionnaire survey conducted at 8 schools in the cantons Zurich, Aargau and St. Gallen. Respondents aged 13-22 years. The aim of the survey was to gain insight into teenagers' relationship to the forest, reasons for visiting or not visiting the forest and activities in the forest.

en: childhood adolescents forest teenagers recreational-activities

en: Factors influencing teenagers' forest visit frequency

de:
Resource Title: Survey at schools 2017
    Size: 638125 bytes
    Format: application/x-spss-sav
    URL: https://www.envidat.ch/dataset/04ecf3b8-76aa-4b45-af4e-e06da88a8fcd/resource/fe6746a6-96c4-484e-99c4-8f8556d76d86/download/datensatz-umfrage-schulen.sav
    Description: The dataset of the questionnaire survey at schools in SPSS-format.

de:
Resource Title: Dataset comments
    Size: 32680 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/04ecf3b8-76aa-4b45-af4e-e06da88a8fcd/resource/29308f48-7be2-4afb-9b4d-829c5618e50a/download/datensatz-kommentar.xlsx
    Description: The codebook to the dataset

de:
Resource Title: Dataset survey at schools
    Size: 844175 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/04ecf3b8-76aa-4b45-af4e-e06da88a8fcd/resource/9b9bee0b-a041-4870-b845-1115c5deed6d/download/datensatz-umfrage-schulen.xlsx
    Description: The dataset of the questionnaire survey at schools in excel format.

de:
Resource Title: Questionnaire school survey
    Size: 141278 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/04ecf3b8-76aa-4b45-af4e-e06da88a8fcd/resource/c7f5fdd3-361e-44bf-ba4c-fa97f6164bf0/download/fragebogenv2.pdf
    Description: The questionnaire used in the survey at 8 schools aimed at teenagers in German.

adolescents

display_name: adolescents

childhood

display_name: childhood

forest

display_name: forest

recreational-activities

display_name: recreational-activities

teenagers

display_name: teenagers


en:
Model code and documentation for the downscaling model TopoCLIM which provides methods to downscale climate timeseries from CORDEX RCM data. This scheme specifically addresses the need for hillslope scale atmospheric forcing timeseries for modeling the local impact of regional climate change projections on the land surface in complex terrain. The method has a global scope and is able to generate the full suite of model forcing variables required for hydrological and land surface modeling at hourly timesteps.
A working example is provided in this code archive but for full running of the scheme TopoSCALE is required https://doi.org/10.5194/gmd-7-387-2014 with code available at https://github.com/joelfiddes/tscaleV2. Standard library dependencies are given in the python requirements.txt of the archive with installation instructions in the README.md.

en: cryosphere cordex downscaling rcm software toposcale

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: TopoCLIM v1.1 code

cordex

display_name: cordex

cryosphere

display_name: cryosphere

downscaling

display_name: downscaling

rcm

display_name: rcm

software

display_name: software

toposcale

display_name: toposcale


en: L'objectif de ce livre blanc est de fournir aux décideurs, aux administrations et aux parties prenantes les résultats de recherche les plus récents afin de promouvoir l'utilisation optimale de la bioénergie issue des engrais de ferme dans la transition énergétique suisse. A cette fin, les résultats du centre de compétence suisse pour la recherche en bioénergie - SCCER BIOSWEET - sont résumés et présentés dans un contexte plus large. Si rien d'autre n'est mentionné, les résultats se réfèrent à la Suisse et, dans le cas de la matière première, aux potentiels nationaux de biomasse.

en: switzerland bioenergy biogas manure review

envidat

en: EnviDat: the Environmental Data Portal

en: Production de biogaz à partir d’engrais de ferme en Suisse

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland


en: Ziel dieses Whitepapers ist es, Entscheidungsträgern, Verwaltungen und Stakeholdern die aktuellsten Forschungsergebnisse zur Verfügung zu stellen, um die optimale Nutzung von Bioenergie aus Hofdünger in der Schweizer Energiewende zu fördern. Zu diesem Zweck werden die Ergebnisse des Schweizer Kompetenzzentrums für Bioenergieforschung - SCCER BIOSWEET - zusammengefasst und in einem breiteren Kontext dargestellt. Wenn nichts anderes erwähnt wird, beziehen sich die Ergebnisse auf die Schweiz und im Falle der Ressourcen auf die heimischen Biomassepotenziale.

en: manure review switzerland bioenergy biogas

en: Biogas aus Hofdünger in der Schweiz

envi

en: Environment


en: Aim of this white paper is to provide decision-makers, administrations and stakeholders with the most current research findings in order to promote the optimal use of bioenergy from manure in the Swiss energy transition. For this purpose, the results of the Swiss competence center for bioenergy research - SCCER BIOSWEET - are summarized and presented in a broader context. If nothing else is mentioned, the results refer to Switzerland and in case of the feedstock to the domestic biomass potentials.

en: Biogas from animal manure in Switzerland


en:
The present dataset is part of the published scientific paper entitled “The role of spatial planning in land change: An assessment of urban planning and nature conservation efficiency at the southeastern coast of Brazil” (Pierri Daunt, Inostroza and Hersperger, 2021). In this work, we evaluated the conformance of stated spatial planning goals and the outcomes in terms of urban compactness, basic services and housing provision, and nature conservation for different land-use strategies. We evaluate the 2005 Ecological-Economic Zoning (EEZ) and two municipal master plans from 2006 in a coastal region in São Paulo State, Brazil. We used Partial Least Squares Path Modelling (PLS-PM) to explain the relationship between the plan strategies and land-use change ten years after implementation in terms of urban compactness, basic services and housing increase, and nature conservation.
We acquired the data for the explanatory variables from different sources listed on Table 1. Since the model is spatially explicit, all input data were transformed to a 30 m resolution raster. Regarding the evaluated spatial plans, we acquired the zones limits from the São Paulo State Environmental Planning Division (CPLA-SP), Ilhabela and Ubatuba municipality.
1)	Land use and cover data: Urban persistence, Urban axial, Urban infill, Urban Isolates, Forest cover persistence, Forest cover gain, NDVI increase
We acquired two Landsat Collection 1 Higher-Level Surface Reflectance images distributed by the U.S. Geological Survey (USGS), covering the entire study area (paths 76 and 77, row 220, WRS-2 reference system, https://earthexplorer.usgs.gov/). We classified one image acquired by the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one image from the Landsat 8 Operational Land Imager (OLI) sensor from 2015-08-15. We collected 100 samples for forest cover, 100 samples for built-up cover and 100 samples for other classes. We then classified these three classes of land cover at each image date using the Support Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using ENVI 5.0 software.
Land-use and land-cover changes from 2005 to 2015 were quantified using map algebra, by mathematically adding them together in pairs (10*LULC2015 + LULC2005). We reclassified the LULC data into forest gain (conversion of any 2005 LULC to forest cover in 2015); forest persistence (2005 forested pixels that remained forested in 2015); new built-up area (conversion of any 2005 LULC to built-up in 2015); and urban maintenance (2005 built-up pixels that remained built-up in 2015).
To describe the spatial configuration of the urban expansion, we classified the new built-up areas into axial, infill and isolated, following Inostroza et al. (2013) (For details, please refer to Supplementary Material I at the original publication).
The NDVI was obtained from the same source used for the LULC data. With the Google Engine platform, we used an annual average for the best pixels (without clouds) for 2005 and 2015, and we calculated the changes between dates. We used increases of - 0.2 NDVI to represent an improvement in forest quality.
2)	Federal Census data organization: Urban Basic Services and Housing indicator, socioeconomic and population:
The data used to infer the values of basic services provision, socioeconomic and population drivers was derived from the Brazilian National Census data (IBGE, 2000 and 2010). Population density, permanent housing unit density, mean income, basic education, and the percentage of houses receiving waste collection, sanitation and water provision services, called basic services in the context of this study, were calculated per 30 m pixel. The Human Development Index is only available at the municipality level. We attributed the HDI for the vector file with the municipality border, and we rasterized (30 m resolution) this file in QGIS. Annual rates of change were then calculated to allow comparability between LULC periods. To infer the BSH, we used only areas with an increase in permanent housing density and basic services provision (See Supplementary Material I at the original publication).
3)	Topographic drivers
To infer the values of the topographic driver, we used the slope data and the Topographic Index Position (TPI) based on the digital elevation model from SRTM (30 m resolution) produced by ALOS (freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and both variables were considered constant from 2005 to 2015 (See Supplementary Material I at the original publication).

en: spatial-modelling planning-outcome land-use-and-cover-change urban-sprawl urban-morphology basic-services nature-conservation forest-gain forest-persistence urban-compactness built-up-classification topography

en: Spatially explicit data to evaluate spatial planning outcomes in a coastal region in São Paulo State, Brazil

de:
Resource Title: TPI300
    Size: 11941205 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/3a51f451-aa57-4d4e-b4a8-a07786d7a18b/download/tpi300.tif
    Description: Topographic Index Position (TPI)

format: TIFF

media_type: image/tiff

de:
Resource Title: waste_inc_0010
    Size: 1528622 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/e50c4311-9521-4ec1-a177-cc9952a5cff3/download/waste_inc_0010.tif
    Description: Increase in waste collection service

de:
Resource Title: forest_gain_0515
    Size: 1359475 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/cc2499a2-e179-473d-ba04-ba7502d0e1ca/download/forest_gain_0515.tif
    Description: Native forest cover gains from 2005 to 2015

de:
Resource Title: pop_0010.
    Size: 2604307 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/21d0b38e-7066-4ac1-9c43-4c6fb732f337/download/pop_0010.tif
    Description: Population density per pixel (change per year)

de:
Resource Title: forest_persist_0515
    Size: 1675441 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/a7d6f906-ee5d-4d64-a713-754764577b8a/download/forest_persist_0515.tif
    Description: Native forest cover persistence from 2005 to 2015

de:
Resource Title: infill
    Size: 1337272 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/5b598ade-cb86-4f8b-aadc-c18e12814d15/download/infill.tif
    Description: New built-up pixels classified as infill

de:
Resource Title: ndvi_inc
    Size: 1552732 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/3f14dfcc-668a-4321-9719-f0b58737deda/download/ndvi_inc.tif
    Description: Increase in Normalized Difference Vegetation Index

de:
Resource Title: house_inc_0010
    Size: 1559472 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/309672b6-4fa2-411c-999a-5b119c72fbef/download/house_inc_0010.tif
    Description: Permanent housing density increase

de:
Resource Title: EEZ_2005
    Size: 755680 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/df399923-2f14-45df-bc12-707385ea2fe7/download/eez_2005.7z
    Description: Ecological-Economic Zoning (EEZ)

de:
Resource Title: water_inc_0010
    Size: 1464652 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/5f52216a-8f44-472b-b70d-6bb003968d1d/download/water_inc_0010.tif
    Description: Increase in clean water provision service

de:
Resource Title: Descricao dos dados em portiuguês
    Size: 93276 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/3142ea4a-a5cf-41e9-b04e-3eea956e32af/download/tabela.pdf
    Description: Portugues description

de:
Resource Title: master_plan_Ilhabela
    Size: 92087 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/b3f65b7e-8f44-4cb1-8f3b-21e45da6ecd4/download/master_plan_ilhabela.7z
    Description: Master plan Ihabela (zones)

de:
Resource Title: Variables description
    Size: 89561 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/8a4afdc9-9af4-4922-8856-6c0e67a1bcca/download/table.pdf
    Description: Table of content. Variables description, source, and other important information

de:
Resource Title: sanit_inc_0010
    Size: 1424839 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/a9a2d0d1-2de5-4a14-9b82-eb22e9dd2a8f/download/sanit_inc_0010.tif
    Description: Increase in sanitation service

de:
Resource Title: hdi_0010
    Size: 1672974 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/4e9794cf-e518-4b03-abe9-8c797b3a0562/download/hdi_0010.tif
    Description: Human Development Index (HDI) per municipality (change per year)

de:
Resource Title: master_plan_Ubatuba
    Size: 458342 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/3c1e0ad8-fb01-447a-b325-a9574bdaeb06/download/master_plan_ubatuba.7z
    Description: Master plan Ubatuba (zones)

de:
Resource Title: income_0010
    Size: 2453471 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/d4800254-34c8-4699-ad14-78a32d90a8e8/download/income_0010.tif
    Description: Mean income in Reais (R$) per census sector (change per year)

de:
Resource Title: Axial
    Size: 1360715 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/7dc6ab63-6a3b-4744-8b8e-b899427e95a5/download/axial.tif
    Description: New built-up pixels classified as axial

de:
Resource Title: urban_persistence
    Size: 1412319 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/09b0444f-8dbd-4a8a-b5ac-26ba6d463401/download/urban_persistence.tif
    Description: Urban persistence: Built-up 2005 = Built-up 2015

de:
Resource Title: slope
    Size: 10630454 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/3ad576ef-181c-485a-b794-53381eed55d5/download/slope.tif
    Description: Slope °

de:
Resource Title: alfa_0010
    Size: 2405447 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/b0604e68-15bf-4c85-a4ca-9bfe519fd03a/download/alfa_0010.tif
    Description: Basic education in % per census sector (change per
year)

de:
Resource Title: isolated
    Size: 1365075 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cdbd343b-fe3b-4404-a9ed-6a2516ec4610/resource/08978ae8-8980-446a-af9b-28b6e18b8dcb/download/isolated.tif
    Description: New built-up pixels classified as isolated

basic-services

display_name: basic-services

built-up-classification

display_name: built-up-classification

forest-gain

display_name: forest-gain

forest-persistence

display_name: forest-persistence

land-use-and-cover-change

display_name: land-use-and-cover-change

nature-conservation

display_name: nature-conservation

planning-outcome

display_name: planning-outcome


en:
This dataset includes the parallel application and the main results supporting the research article "Modeling snow saltation: the effect of grain size and interparticle cohesion" published at the Journal of Geophysical Research: Atmospheres.
The code is a flow solver based on the Large Eddy Simulation (LES) technique coupled with a Lagrangian Stochastic Model (LSM). The interaction of snow particles with the bed is modeled with statistical and physically-based models for aerodynamic entrainment, rebound and splash, following the works of Groot Zwaaftink et al. (2014), Comola and Lehning (2017) and Sharma et al. (2018). This algorithm was also used by Sigmund et al. (2021) to model snow sublimation.

en: snow-cohesion saltation large-eddy-simulations mixed-grain-transport drifting-snow

envidat

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

envi

de: Umwelt

de:
Resource Title: Data in Figures
    Size: 312666 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c4543b3d-d898-4364-8194-bb56f2fe41f9/resource/9824aead-cf4d-4499-ac43-d392daca5417/download/figures_data.zip
    Description: Simulation results presented in Figures 1 to 11 of the research article "Modeling snow saltattion: the effect of grain size and interparticle cohesion" in csv format.

de:
Resource Title: LES-LSM code
    Size: 405936 bytes
    Format: application/x-tar
    URL: https://www.envidat.ch/dataset/c4543b3d-d898-4364-8194-bb56f2fe41f9/resource/aa04cdac-a8cc-446d-84ef-b9f69b767d83/download/les-lsm.tar.xz
    Description: Source code used to perform the analysis presented at the research article "Modeling snow saltation: the effect of grain size and interparticle cohesion". The source code is also available at the WSL/SLF GitLab Repository (https://gitlabext.wsl.ch/atmospheric-models/les-lsm).

drifting-snow

display_name: drifting-snow

large-eddy-simulations

display_name: large-eddy-simulations

mixed-grain-transport

display_name: mixed-grain-transport

saltation

display_name: saltation

snow-cohesion

display_name: snow-cohesion


en: Animal biodiversity in cities is generally expected to be uniformly reduced, but recent studies show that this is modulated by the composition and configuration of Urban Green Areas (UGAs). UGAs represent a heterogeneous network of vegetated spaces in urban settings that have repeatedly shown to support a significant part of native diurnal animal biodiversity. However, nocturnal taxa have so far been understudied, constraining our understanding of the role of UGAs on maintaining ecological connectivity and enhancing overall biodiversity. We present a well-replicated multi-city study on the factors driving bat and nocturnal insect biodiversity in three European cities. To achieve this, we sampled bats with ultrasound recorders and flying insects with light traps during the summer of 2018. Results showed a greater abundance and diversity of bats and nocturnal insects in the city of Zurich, followed by Antwerp and Paris. We identified artificial lighting in the UGA to lower bat diversity by probably filtering out light-sensitive species. We also found a negative correlation between both bat activity and diversity and insect abundance, suggesting a top-down control. An in-depth analysis of the Zurich data revealed divergent responses of the nocturnal fauna to landscape variables, while pointing out a bottom-up control of insect diversity on bats. Thus, to effectively preserve biodiversity in urban environments, UGAs management decisions should take into account the combined ecological needs of bats and nocturnal insects and consider the specific spatial topology of UGAs in each city.

en: zurich nocturnal-fauna paris urban-biodiversity urbanisation antwerp flying-arthropods chiroptera

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Bats and nocturnal insects in urban green areas

de:
Resource Title: Bats Insects Sites dataset
    Size: 207680 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/607ea77c-e95c-44c0-9b8e-c17c07a3d5e2/resource/49adcde7-5754-44ba-a207-5fbe7997b433/download/batsinsectssites_dataset.txt
    Description: Tab-delimited data file containing data analysed. First row is column header. Column headers are described in tab-delimited file 'Variable_description.txt"

de:
Resource Title: BIOVEINS raw bat data.csv
    Size: 65886395 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/607ea77c-e95c-44c0-9b8e-c17c07a3d5e2/resource/0739a2ad-9dba-4fd9-aa5d-906234917ec0/download/bioveins-raw-bat-data.csv
    Description: Raw bat identification data from which the analysis data were derived

de:
Resource Title: Variable description
    Size: 6797 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/607ea77c-e95c-44c0-9b8e-c17c07a3d5e2/resource/043c4cd9-2e09-4f5a-bcc6-65dd8cdbee02/download/variable_description.txt
    Description: Tab-delimited file containing names and description of data contained in the tab-delimited data file 'BatsInsectsSites_Date.txt'.

de:
Resource Title: BIOVEINS raw bat explanatory data.csv
    Size: 1146 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/607ea77c-e95c-44c0-9b8e-c17c07a3d5e2/resource/94de18a6-f835-42fd-ab2c-218c050a5f7a/download/bioveins-raw-bat-explanatory-data.csv
    Description: Explanation for column headers in file 'BIOVEINS raw bat data.csv'

antwerp

display_name: antwerp

chiroptera

display_name: chiroptera

flying-arthropods

display_name: flying-arthropods

nocturnal-fauna

display_name: nocturnal-fauna

paris

display_name: paris

urban-biodiversity

display_name: urban-biodiversity

urbanisation

display_name: urbanisation

zurich

display_name: zurich