de: EnviDat

en:
This dataset contains stable isotope ratios of oxygen and hydrogen (O-18 and H-2) and electrical conductivity (EC) in overland flow (OF), topsoil interflow (TIF), soil water, groundwater, and rainwater for 12 rainfall events during the snow-free seasons of 2021 and 2022 in the Studibach catchment, Alptal, Switzerland.
Overland flow, topsoil interflow (i.e., lateral flow from the more densely rooted soil layer), soil water, and groundwater were collected at 14 small trenched runoff plots (1 x 3 m) in three subcatchments (C2, C3, C5) of the Studibach catchment. Overland flow was collected from the surface up to 2-5 cm depth and thus includes biomat flow. A trench was used to collect topsoil interflow (up to 60 cm below the surface; see Table 1 in the manuscript for details). Rainwater was collected at two locations in the Studibach catchment (in C3 and C5, respectively). Soil water was collected in between the events from suction lysimeters installed at 12.5 cm and 20 cm below the soil surface in the middle of each plot. Groundwater was collected between events from wells installed near the plots up to the soil-bedrock interface.
The water samples were analysed for the stable isotopes of oxygen and hydrogen (O-18 and H-2) using with a cavity ring-down spectroscope (CRDS; L2140-i or L2130-i, Picarro, Inc., USA) at the Chair of Hydrology at the University of Freiburg, Germany. The isotope ratios are reported in per mil (‰) relative to Vienna Standard Mean Ocean Water.
A more detailed description of the field setup, data collection and preparation can be found in Leuteritz et al. (in press).
The dataset contains in addition to the sample identifier and the site and event identifiers that are used in the publication, also the sample collection date (typically one day after the event) and the coordinates for each plot (coordinate system: WGS84). For the plots for which samples were collected with an automatic sampler (ISCO), the date and time (UTC) of sample collection are given as well.

en: Stable water isotopes and EC in overland flow, topsoil interflow, soil water, groundwater, and rainwater for 12 rainfall events in the Studibach catchment, Alptal, Switzerland

en: studibach rainfall stable-isotopes groundwater soil-water plot electrical-conductivity overland-flow topsoil-interflow alptal

envi

en: Environment

alptal

display_name: alptal

electrical-conductivity

display_name: electrical-conductivity

groundwater

display_name: groundwater

overland-flow

display_name: overland-flow

plot

display_name: plot

stable-isotopes

display_name: stable-isotopes

studibach

display_name: studibach

topsoil-interflow

display_name: topsoil-interflow


$oid: OBSOLETE

en:
The following repository contains the data and code to reproduce the figures analyses of the paper "Examining honeybee (Apis mellifera) dominance patterns within urban bee communities worldwide". It contains three datasets and one .R file
---
The data results from a literature review on abundance distribution of urban bee communities worldwide, aiming at obtaining studies reporting total abundances of honeybees and wildbees in a given city, and species abundances of wildbees and honeybees in a given city.
---
1. **Data**:
- *20240308_cities_coords.csv*: the data contains the latitude and longitude of the included cities in the study. It is used for making the world map with the cities.
- *20241201_proportion_HB_WB.csv*: the data contains the total wild bee and honeybee abundances per city/urban aggregation, and the proportions.
- *20241201_rad_bees.csv*: the data contains the species abundances per city/urban aggregation
2. **Script**:
- *HoneybeeDominance_Analyses_Figures.R*: the script to run the analyses and make the plots. Analyses were done in R version 4.2.1, using the packages ggplot2, glmmTMB, multcomp, wesanderson, terra.

en: Data supporting ‘Examining honeybee (Apis mellifera) dominance patterns within urban bee communities worldwide’

en: urban-beekeeping anthophila cities honeybees dominance urban-ecosystems sads wildbees

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.

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.

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

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

type: dataset

key: guid

value: Envidat Harvester

key: uri

envi

de: Umwelt

fr: Environnement

it: Ambiente

de:
Resource Title: R script for analyses and plots
    Size: 17744 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/683ed266-c67f-40db-84cd-e8599f075126/resource/2f39336d-f343-4325-8207-38372826ecf4/download/honeybeedominance_analyses_figures.r
    Description:

format: OCTET

de:
Resource Title: Dataset coordinates study cities
    Size: 2196 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/683ed266-c67f-40db-84cd-e8599f075126/resource/9a73209e-98c0-4fee-a208-c726bf957efa/download/20240308_cities_coords.csv
    Description: The data contains the latitude and longitude of the studied cities / urban aggregations. It contains the following columns:
- Continent
-Country
- City
- Lat: Latitude
- Lon: Longitude

format: CSV

media_type: text/csv

de:
Resource Title: Dataset species abundance
    Size: 598032 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/683ed266-c67f-40db-84cd-e8599f075126/resource/a4e637d3-911b-4806-b0ba-cbbd17a34309/download/20241201_rad_bees.csv
    Description: This data resource provides the individual species abundance per city / urban aggregation. It contains data from 41 datasets from 37 studies collected in 33 cities / urban aggregations. It contains the following columns:
 - Article_ID
- DOI
- Authors
- Year
- Continent
- Country
- City
- Bee genus
- Bee species
- Bee merged
- Bee full
- Abundance
- Bee_ID_per_study: ID for the study

de:
Resource Title: Dataset proportion honeybees and wild bees
    Size: 14245 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/683ed266-c67f-40db-84cd-e8599f075126/resource/90c4bffd-bfc1-4100-99f5-a2ad3e9503a8/download/20241201_proportion_hb_wb.csv
    Description: The dataset provide the main features for each included dataset from published and unpublished research works.  Each row represents a dataset, which provides bee community data in one city / urban aggregation. Overall, it contains 68 datasets from 46 cities in 15 countries and five continents. The data is organised in the following columns:
- Article_ID: id used in the study
- DOI: doi of the publication, when available
- Authors
- Year: of publication
- Duration sampling (years)
- Start_sampling: month of the year
- End_sampling: month of the year
- Continent
- Country
- N. cities: number of cities included in the publication
- City
- Sampling type: active, passive or both
- Sampling methodology: within each sampling type.
- Habitats: list of sampling habitats
- N_habitats: number of sampling habitats
- Parks_similar: binnary (1 = yes; 0 = no)
- Agriculture: binnary (1 = yes; 0 = no)
- Private_gardens: binnary (1 = yes; 0 = no)
- Green_roofs: binnary (1 = yes; 0 = no)
- seminatural_natural_wasteland: binnary (1 = yes; 0 = no)
- other_unspecified: binnary (1 = yes; 0 = no)
- Number sites
- Abundance honeybees
- Abundance wild bees
- Total bees
- Proportion honeybees
- Proportion wildbees
- Area:. of the studied city/urban aggregation

anthophila

display_name: anthophila

cities

display_name: cities

dominance

display_name: dominance

honeybees

display_name: honeybees

sads

display_name: sads

urban-beekeeping

display_name: urban-beekeeping

urban-ecosystems

display_name: urban-ecosystems

wildbees

display_name: wildbees


en:
The files refer to the data used in Scherrer et al. (2021) "Canopy disturbances catalyse tree species shifts in Swiss forests" in _Ecosystems_.
The two data files contain information about site factors (e.g. disturbance events, dominant tree species, elevation) and species-specific biomass of 5521 plots of the Swiss National Forest Inventory visited during the second (NFI2 1993-1995) and fourth (NFI4 2009-2017) inventory.
In addition, we provide all the R-scripts necessary to reproduce the Figures and data tables of the related publication.
For more detailed information about the data files please check the ReadMe.docx file.

en: Effects of canopy disturbance on Swiss forests

en: tree-recruitment disturbance switzerland vegetation-shift pinus-sylvestris castanea-sativa windthrow insect-outbreaks national-forest-inventory picea-abies drought

de:
Resource Title: ReadMe
    Size: 12819 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/4e57b948-5e00-4ed3-9047-f528b8857264/resource/554a633d-c927-46af-98bc-1a5819b6c515/download/readme.docx
    Description: A detailed description of the data.

de:
Resource Title: Site Information
    Size: 2308907 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4e57b948-5e00-4ed3-9047-f528b8857264/resource/0e3fddb2-66e9-44d7-b48b-36d1611dc815/download/sites.df.en.csv
    Description: File containing the information on parameters of the 5521 National forest inventory sites recorded during the NFI2 and NFI4.

CLNR = Number of site in the National Forest Inventory
INVNR = Information on which National Forest Inventory
Elevation = Elevation above sea level
Perc_Conifers = Proportional contribution of Conifer species to the total basal area of a site
DominantTreeSp = Dominant tree taxa of a site as defined by maximum basal area contribution
DMGTYP = Type of damage observed between NFI2 and NFI4 (up to four observations possible)
DMGYEAR = In case a DMGTYPE event was observed here is the corresponding year marked.
BioReg = Biogeographic region of the site
Ggrob = NaiS site type (Potential natural forest vegetation of a site)
DisturbanceType = Type of disturbance recorded on the site between NFI2 and NFI4.

de:
Resource Title: R-Scripts for Figures and Data tables
    Size: 25336 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4e57b948-5e00-4ed3-9047-f528b8857264/resource/ed130c01-10d6-45e7-9c68-f3ce30ef1e74/download/r-scripts.zip
    Description: This archive contains the R-Scripts to reproduce the Figures 2-4, S1-S4 and the data tables S4-S10 in the associated publication.

Scherrer, D., Ascoli, D., Conedera, M., Fischer, C., Maringer, J., Moser, B., . . . T., W. (2021). Canopy disturbances catalyse tree species shifts in Swiss forests. Ecosystems, in revision.

format: ZIP

media_type: application/zip

castanea-sativa

display_name: castanea-sativa

disturbance

display_name: disturbance

drought

display_name: drought

insect-outbreaks

display_name: insect-outbreaks

national-forest-inventory

display_name: national-forest-inventory

picea-abies

display_name: picea-abies

pinus-sylvestris

display_name: pinus-sylvestris

switzerland

display_name: switzerland

tree-recruitment

display_name: tree-recruitment

vegetation-shift

display_name: vegetation-shift

windthrow

display_name: windthrow


en: Raw data and R Code to do all the analysis performed for the paper "Advancing sustainable LED solutions to mitigate light-pollution impacts on arthropods". Including data for both flight-active insects and ground-dwelling arthropods combined (PT_TRF_all.csv), flight-active insects alone (ALANeX_PT_all_clean_control.csv) and ground-dwelling insects alone (ALANeX_TRF_all_clean_control.csv). For the NMDS analysis, there is a data set for the flight-active insects (ALANeX_PT_NMDS.csv) and the ground-dwelling arthropods (ALANeX_TRF_NMDS.csv). For the Morans I use the 'ALANeX_MoransI.csv' dataset.

en: alan artificial-lighting sustainability outdoor-lighting ecosystem-services

de:
Resource Title: Regression_PT_Taxa.R
    Size: 12359 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/a24b15bc-039a-4611-9efc-3bacd43be0b9/download/regression_pt_taxa.r
    Description: R code of flight-active insects analysis.

de:
Resource Title: ALANeX_TRF_all_clean_control.csv
    Size: 62191 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/388d1352-f4ab-4c80-9439-b47ff1b2d84a/download/alanex_trf_all_clean_control.csv
    Description: Raw data for ground-dwelling arthropod analysis

de:
Resource Title: TRF_NMDS.R
    Size: 5646 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/78ab68b0-cb5a-4228-b165-0a9249833467/download/trf_nmds.r
    Description: R code for NMDS of ground-dwelling arthropods

de:
Resource Title: ALANeX_MoransI.csv
    Size: 70008 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/352f7a23-41a2-4160-b5da-000ca56511bb/download/alanex_moransi.csv
    Description: Raw data Moran's I test

de:
Resource Title: PERMANOVA_TRF_NMDS.R
    Size: 880 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/6733f71f-1d72-4730-8bfe-e1158349c383/download/permanova_trf_nmds.r
    Description: R code for PERMANOVA Analysis of ground-dwelling arthropods.

de:
Resource Title: Regression_PT&TRF_AllGroups.R
    Size: 6609 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/6cede3a0-0f23-4660-b8b9-d7b4b2a6dd51/download/regression_pttrf_allgroups.r
    Description: R code of flight-active and ground-dwelling arthropod combined analysis.

de:
Resource Title: PT_TRF_all.csv
    Size: 40556 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/3aecf663-0494-4d8d-9a9b-70ee70584c33/download/pt_trf_all.csv
    Description: Raw data for flying insects and ground-dwelling arthropod combined analysis

de:
Resource Title: ALANeX_PT_all_clean_control.csv
    Size: 82055 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/aa8b6e52-c154-482c-a4db-2a9ff2ceaff2/download/alanex_pt_all_clean_control.csv
    Description: Raw data for flying insects analysis

de:
Resource Title: ALANeX_TRF_NMDS.csv
    Size: 50258 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/7aa3a91d-3ed9-477c-aa15-68c42f50392b/download/alanex_trf_nmds.csv
    Description: Raw data for ground-dwelling arthropod NMDS analysis

de:
Resource Title: PT_NMDS.R
    Size: 5615 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/1b4bf7ce-faae-43da-a051-dce85fb4a35b/download/pt_nmds.r
    Description: R code for NMDS of flight-active insects

de:
Resource Title: PERMANOVA_PT_NMDS.R
    Size: 866 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/80cd6f62-ec98-4675-a3fd-2dff6894fc7f/download/permanova_pt_nmds.r
    Description: R code for PERMANOVA Analysis of flight-active insects.

de:
Resource Title: ALANeX_PT_NMDS.csv
    Size: 34799 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/92df1cc5-e8f7-4ed8-98b6-8f512edd3504/download/alanex_pt_nmds.csv
    Description: Raw data for flying insects NMDS analysis

de:
Resource Title: Regression_TRF_Taxa.R
    Size: 12379 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/33788f24-dd2b-4137-b2f6-878ac0f98e88/download/regression_trf_taxa.r
    Description: R code of ground-dwelling arthropod analysis.

alan

display_name: alan

artificial-lighting

display_name: artificial-lighting

ecosystem-services

display_name: ecosystem-services

outdoor-lighting

display_name: outdoor-lighting

sustainability

display_name: sustainability


de: EnviDat

en: This dataset contains the results of a five-day field excursion which the extent to which eDNA sampling can capture the diversity of a region with highly heterogeneous habitat patches across a wide elevation gradient through multiple hydrological catchments of the Swiss Alps. Using peristaltic pumps, we filtered 60 L of water at five sites per catchment for a total volume of 1 800 L. Using an eDNA metabarcoding approach focusing on vertebrates and plants, we detected 86 vertebrate taxa spanning 41 families and 263 plant taxa spanning 79 families across ten catchments. This dataset includes two sets of data. The first (Genomic data) includes all the necessary data for the bioinformatic pipeline, whereas the second (Analysis Figures) contains tidied data and scripts for the reproduction of all figures/analyses in the article describing this study.

en: Vertebrate and plant taxa recovered from 10 catchments in Vaud using an eDNA-metabarcoding approach

en: dna-metabarcoding environmental-dna spatial-ecology biomonitoring biodiversity-assessment

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

envi

de: Umwelt

de:
Resource Title: Genomic data
    Size: 5153960755 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.409/eDNA_paper_bioinformatic_pipeline.zip
    Description: Fastq files, primer descriptions and the final output dataset.

de:
Resource Title: Field Metadata
    Size: 6661 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f1df9abc-3fb8-4253-83a8-733f712ef768/resource/4d6f2c3d-0ae9-473e-8023-adf6e99d4aa7/download/field_metadata.csv
    Description: Information concerning the locations and times of sampling, as well as the identity of the samplers and relevant comments.

de:
Resource Title: Analysis and Figures
    Size: 238547 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f1df9abc-3fb8-4253-83a8-733f712ef768/resource/a255cdf5-9d88-4ba7-83af-df37d3c6e665/download/02_analysis_figures.zip
    Description: This zipped file includes R scripts and the datasets required to run the analyses. A README describes the columns in each dataset.

biodiversity-assessment

display_name: biodiversity-assessment

biomonitoring

display_name: biomonitoring

dna-metabarcoding

display_name: dna-metabarcoding

environmental-dna

display_name: environmental-dna

spatial-ecology

display_name: spatial-ecology


en: Data on captures of Orientus ishidae between 2021 and 2024 in a habitat management experiment in the Swiss southern Alps.

en: Habitat management as an integrative strategy to reduce the risk of Flavescence dorée alternative vectors exchange between wild and cultivated compartments

en: mosaic-leafhopper flavescence-doree pest-control grapevine-yellows switzerland

de:
Resource Title: Table 1 Hatching events
    Size: 17853 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/0fb98fbf-001b-4b8a-85fd-3717faaac878/download/table-1.docx
    Description: Hatching events grouped by sampling category, diameter range of sampled material, lateral surface, weight, hatching count (Nhat), hatchings per square meter; hatchings per kilogram. L = sampling in low sector (0, 1.5 m), M = sampling in median sector (1.5, 3.5 m), H = sampling in high sector (3.5, 6.5 m), I/II = different diameter ranges of sampled material in the same sector.

de:
Resource Title: Figure 1 Geographic distribution of the experimental sites.
    Size: 8901852 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/399a0ceb-34a6-4983-a55d-e3750667f237/download/figure_1.tif
    Description: Geographic distribution of the experimental sites.
a) Location of the study area within Switzerland; T = Canton Ticino.
b) Black square: site where hazel wood was sampled for the hatching experiment targeting Orientus ishidae nymphs; black dot: sites where single hazel shrubs were coppiced and their shoots removed as a habitat management measure; black triangle: control plots without habitat management.

format: TIFF

media_type: image/tiff

de:
Resource Title: Figure 4 Orientus ishidae total captures grouped by site type, treatment category and sampling year
    Size: 16203394 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/ddd50ee8-75c2-4daf-a0b5-031bb5d9d73b/download/figure_4.tiff
    Description: Orientus ishidae total captures grouped by site type, treatment category and sampling year.

de:
Resource Title: Figure 2 Inverse distance weighted interpolation (IDW)
    Size: 1674618 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/935bb1fe-af3e-4e7f-a3ec-b8ebe26d015d/download/figure_2.tif
    Description: Inverse distance weighted interpolation (IDW) generated from the Orientus ishidae imago captures obtained from yellow sticky traps (YST) during the 2021 season in Arzo. Corylus avellana wood was sampled in 2023 around YST L12 and L14.

de:
Resource Title: Figure 5 Orientus ishidae total captures in vineyards grouped by site type and sampling year.
    Size: 16203394 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/84e8f99a-f762-48a4-8de8-7e55ef537173/download/figure_5.tiff
    Description: Orientus ishidae total captures in vineyards grouped by site type and sampling year.

de:
Resource Title: Figure 3 Cumulative percentage of Orientus ishidae hatchings by degree-day
    Size: 16203394 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/203c375c-acc5-44ca-b796-0f73e65a1e54/download/figure_3.tiff
    Description: Cumulative percentage of Orientus ishidae hatchings by degree-day (inverted Kaplan-Meyer) for the various sampling classes. Hatching events belonging to hotspot L12 were pooled (summed) due to the low number of hatchings observed.

de:
Resource Title: Hatching dataset
    Size: 42827 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/f8515683-16cf-4c5d-9bf7-7658c94d5281/download/hatchings_oi_hm_2023.xlsx
    Description: Hatching dataset of Orientus ishidae nymphs collected in 2023.

format: XLS

de:
Resource Title: Table 2 Embryonic development time of Orientus ishidae
    Size: 15089 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/6a45311d-3be2-4565-8273-c696afb71db2/download/table-2.docx
    Description: Embryonic development time of Orientus ishidae expressed as degree-days and days for the different sampling categories. L12_M_I was excluded since no hatching events were observed in this category. N = number of hatched nymphs, EDdd_min and EDdd_max = degree-days accumulated at the first and last hatching, respectively, EDdd_mean = mean accumulated degree-days, DDA = degree-days accumulated between first and last hatching, SE = standard error, HD = hatching period duration in days.

de:
Resource Title: Table 4 Orientus ishidae total captures and differences between sampling years,
    Size: 18058 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/d0b3b541-c8be-4ba3-ae51-7e2d04908fb1/download/table-4.docx
    Description: Orientus ishidae total captures and differences between sampling years, YST = number of yellow sticky traps used for monitoring purposes.

de:
Resource Title: Table 3 Spearman correlation table for daily hatchings
    Size: 13733 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/a0bfe099-3352-4a55-891c-71db65fa2bc8/download/table-3.docx
    Description: Spearman correlation table for daily hatchings recorded in categories related to hotspot L14 (n = 35).

de:
Resource Title: Orientus ishidae captures on traps
    Size: 376738 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c7d6cbc0-ecf3-4bfa-86a3-4f05919ca593/resource/6f52de17-ddaf-43fd-8872-2f121496f7dd/download/leafhopper-captures-2021-2024.xlsx
    Description: Raw data of Orientus ishidae captures on traps.

flavescence-doree

display_name: flavescence-doree

grapevine-yellows

display_name: grapevine-yellows

mosaic-leafhopper

display_name: mosaic-leafhopper

pest-control

display_name: pest-control


de: EnviDat

en:
This repository contains all observational data sets during CALISHTO campaign used for the paper: Gao, K., Vogel, F., Foskinis, R., Vratolis, S., Gini, M. I., Granakis, K., Zografou, O., Fetfatzis, P., Berne, A., Papagiannis, A., Möhler, O., Eleftheridadis, K., and Nenes, A.: On the drivers of ice nucleating particle diurnal variability in Eastern Mediterranean clouds, npj Climate and Atmospheric Science,  Preprint link: https://www.researchsquare.com/article/rs-4378562/v1.
CALISHTO campaign was conducted between 12 October and 27 November 2021 to observe ice nucleating particles and aerosol properties at the Helmos Hellenic Atmospheric Aerosol and Climate Change station in Eastern Mediterranean, to understand cloud-aerosol interactions. To evaluate the spatial-temporal variabilities and characteristics of ice nucleating particles, a high-time resolution ice nucleation spectrometer was employed and different online aerosol  property measurements were conducted in-situ, including particle number concentration, particle size distribution, particle fluorescent properties, and particle chemical composition. In addition, planetary boundary layer conditions at the observation site were determined by remote sensing techniques employed at a lower site.

en: CALISHTO campaign dataset for the publication On the Drivers of Ice Nucleating Particle Diurnal Variability in Eastern Mediterranean Clouds

en: ice-nucleation fluorescent-particles dust-particles diurnal-variability aerosol-cloud-interactions biological-particles

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.

envi

en: Environment

de:
Resource Title: Figure 1.xlsx
    Size: 19296 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/0459364f-4c2f-4bd2-9825-1a3b527f0550/download/figure-1.xlsx
    Description: This file contains data presented in Figure 1 in the main text.

de:
Resource Title: Figure 2.xlsx
    Size: 41737 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/c95e8863-99bb-4070-8967-9c0c5a767f26/download/figure-2.xlsx
    Description: This file contains data presented in Figure 2 in the main text.

de:
Resource Title: Figure 3.xlsx
    Size: 41657 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/7d25f431-719b-4e81-9e87-71d6b73cac97/download/figure-3.xlsx
    Description: This file contains data presented in Figure 3 in the main text.

de:
Resource Title: Figure 7.xlsx
    Size: 91997 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/63f8b6ff-76a2-4328-a51d-5aaf64705381/download/figure-7.xlsx
    Description: This file contains data presented in Figure 7 in the main text.

de:
Resource Title: Data for figures in the Supplementary.xlsx
    Size: 2644777 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/e3581bf2-16cd-4e3e-9c16-80be733e57fd/download/data-for-figures-in-the-supplementary.xlsx
    Description: This file contains data presented in Figure S2 to S36 in the supplementary.

de:
Resource Title: Figure 6.xlsx
    Size: 43273 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/b2d4280e-e366-40e2-9bb1-2480dbb19f6c/download/figure-6.xlsx
    Description: This file contains data presented in Figure 6 in the main text.

de:
Resource Title: Figure 5.xlsx
    Size: 39112 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/ed2dec5e-6d02-4835-8c7c-d9054b8bd9da/download/figure-5.xlsx
    Description: This file contains data presented in Figure 5 in the main text.

de:
Resource Title: Figure 4.xlsx
    Size: 40769 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/8756a238-ca3d-43e1-8f4b-60877d046731/download/figure-4.xlsx
    Description: This file contains data presented in Figure 4 in the main text.

aerosol-cloud-interactions

display_name: aerosol-cloud-interactions

biological-particles

display_name: biological-particles

diurnal-variability

display_name: diurnal-variability

dust-particles

display_name: dust-particles

fluorescent-particles

display_name: fluorescent-particles

ice-nucleation

display_name: ice-nucleation


en:
Background
Urban ecosystems are associated with socio-ecological conditions that can filter and promote taxa. However, the strength of the effect of ecological filtering on biodiversity could vary among biotic and abiotic factors. Here, we provide the data used to investigate the effects of habitat amount, temperature, and host-enemy biotic interactions in shaping communities of cavity-nesting bees and wasps (CNBW) and their natural enemies. To do so, we installed trap-nests in 80 sites distributed along urban intensity gradients in 5 European cities (Antwerp, Paris, Poznan, Tartu and Zurich). We quantified the species richness and abundance of CNBW hosts and their natural enemies, as well as two performance traits (survival and parasitism) and two life-history traits (sex ratio and number of offspring per nest for the hosts).
The dataset contains:
* The taxonomic metrics on CNBW
* The taxonomic metrics on the natural enemies from CNBW
* The life-history traits and performance traits

en: Community structure, life-history traits and performance traits of urban cavity-nesting bees annd wasps

en: hymennoptera cavity-nesting urban-ecology natural-enemies urbanization hymenoptera wasps life-history-traits richness cities bees performance-traits

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: das Umwelt-Datenportal

envi

de: Umwelt

de:
Resource Title: Taxonomic metrics on the natural enemies
    Size: 3882 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/1d628995-7010-42e5-b2b4-61e74ad78207/download/25042022_enemy_info.csv
    Description: It contains the species richness and the abundance of natural enemies per site.

de:
Resource Title: Performance traits and life-history traits
    Size: 411653 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/34eacb06-974a-43c5-9c9b-e347cd84705a/download/25042022_life_history_nest.csv
    Description: It contains the data of two performance traits (survival and parasitism) and two life-history traits (sex ratio and number of offspring per nest for the hosts) at the nest level.

We assessed performance traits, i.e. survival and parasitism, at the individual cell level. Specifically, for each cell within a nest, we noted whether the cell was alive or dead (survival), and whether it had a parasite or not (parasitism). Further, we calculated the parasitism rate as the number of cells with a parasite divided by the total number of cells. Concerning life-history traits, we calculated the total number of brood cells per nest as the total number of brood cells within a single nest, regardless of whether the larvae were dead, alive or parasitized. Finally, we used the probability that a femalehost emerged from a given cell as a proxy for the sex ratio. To do so, we first identified the sex of the individual hosts. Then, we noted it in a binary way to indicate whether the host was a female or not.  We could identify the sex of all hatched hosts. Further, because CNBW first lay females and then males, on some occasions we could also identify the host sex in dead and parasitized cells, that is, when we had already identified the sex of the preceding and the following cells.

de:
Resource Title: Information on the study sites
    Size: 14688 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/527f3701-eabd-4f19-a49c-890fd892c418/download/16072024_study_sties.csv
    Description: For each site, the IDs, city, coordinates, structure where the trapnest was attached and height is provided

de:
Resource Title: Predictors of the study
    Size: 32135 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/f510735e-de09-44fd-a355-997320ef1db1/download/predictors.non.scaled.csv
    Description:

de:
Resource Title: Taxonomic metrics on CNBW
    Size: 14605 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/971340ee-519a-4616-a8fb-58a854a3374b/download/25042022_community_structure_life_history_site.csv
    Description: The data contains at the site level the species richness of cavity-nesting bees and wasps. It also contains site level estimates of the life-history traits and the performance traits.

We calculated species richness, abundance, and number of nests of the hatched hosts separately for bees and wasps. We calculated the abundance of hatched hosts as the number of brood cells where an individual emerged, i.e. the total number of brood cells minus the number of parasitized cells and the number of cells with no emergence for reasons other than parasitism.

City codes: An =Antwerp, Pa = Paris; Po = Poznan; Ta =Tartu; Zu= Zurich

bees

display_name: bees

cavity-nesting

display_name: cavity-nesting

cities

display_name: cities

hymennoptera

display_name: hymennoptera

hymenoptera

display_name: hymenoptera

life-history-traits

display_name: life-history-traits

natural-enemies

display_name: natural-enemies

performance-traits

display_name: performance-traits

richness

display_name: richness

urban-ecology

display_name: urban-ecology

urbanization

display_name: urbanization

wasps

display_name: wasps


de: EnviDat

en:
Long-term phenological data in alpine regions are often limited to a few locations and thus, little is known about climate-change induced plant phenological shifts above the treeline. Because plant growth initiation in seasonally snow-covered regions is largely driven by snowmelt timing and local temperature, it is essential to simultaneously track phenological shifts, snowmelt, and near-ground temperatures. In this study, we make use of ultrasonic snow height sensors installed at climate stations in the Swiss Alps to reveal phenological advance of grassland ecosystems and relate them to climatic changes over 25 years (1998 – 2023). When snow is absent, these snow height sensors additionally provide information on plant growth at a uniquely fine temporal scale. Daily temperatures and snow- / plant height values, annual phenological- and melt-out dates were derived from IMIS climate station data (doi.org/10.16904/envidat.406). We observed an advance of green-up by -2.4 days/decade coinciding with strong warming of up to +0.8°C/decade. Although the timing of melt-out has not changed significantly over the study period in this focal region, phenological responses to early melt-out years varied due to differing influences of photoperiodic and thermal constraints, which were not equally important across elevations and communities. Phenological shifts of alpine grasslands are thus likely to become even more pronounced if melt-out timing advances in the future as predicted.
This repository relates to the publication Zehnder et al. (2025). Snow height sensors reveal phenological advance in alpine grasslands. Global Change Biology. accepted. The model data and code that support our findings are deposited in this repository.

en: IMIS Phenology Data Since 1998

en: alpine imis climate snowmelt grassland monitoring phenology ultrasonic snow long-term

envidat

en: EnviDat: the Environmental Data Portal

de:
Resource Title: 1_phenofit.R
    Size: 14137 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/08e70804-eed7-4a7c-8ad8-1a28c85deb2d/download/1_phenofit.r
    Description: implements the phenofit method. Note: This script is computationally intensive and may take a while to run. We recommend using the temporary data created from it (i.e. starting from 2_temperature.R). For a better description of the phenofit R package and the different methods to determine the SOG, see Kong et al. (2022): https://doi.org/10.1111/2041-210X.13870

de:
Resource Title: all_stations.csv
    Size: 1351408 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/2f390316-91a2-4600-a188-b6c1045065c1/download/all_stations.csv
    Description: Contains unfiltered annual phenological, temperature and snow-climatic data for all IMIS stations.

de:
Resource Title: 5_method_plots.Rmd
    Size: 14013 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/91df036c-3904-4c7b-84de-355012cbbad9/download/5_method_plots.rmd
    Description:  Generates the methods-related figures used in the publication.

de:
Resource Title: snow3.png
    Size: 12808 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/afa71796-2a2e-4b7b-9885-d2a0fa47ed31/download/snow3.png
    Description: Snow3.png and grass.png are needed for plotting the methods plot in 5_methods_plots.Rmd

format: PNG

media_type: image/png

de:
Resource Title: 4_functions.R
    Size: 8508 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/57a701f9-40be-4068-9ae6-b2a101e8d802/download/4_functions.r
    Description: Contains custom functions required for the scripts; this file must be sourced before running other scripts.

de:
Resource Title: 3_models.Rmd
    Size: 70950 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/3799ac14-e0c6-4651-a18f-bc507ebb87d2/download/3_models.rmd
    Description:  Documents and reproduces the statistical models used in the analysis.

de:
Resource Title: 2_temperature.R
    Size: 23036 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/19951a82-e3bf-4650-bc36-dbe502dff703/download/2_temperature.r
    Description: Contains temperature-related calculations.

de:
Resource Title: phenofit_outputlist.rds
    Size: 132907 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/95fca3e1-8f8f-4b1b-bc53-9c9778462b67/download/phenofit_outputlist.rds
    Description: Temporary data. Contains annual unfiltered output of phenofit (i.e. the variable names are in line with the phenofit documentation), including all curve parametrization variables for plotting and additional variables, which are not necessarily used in the analysis.

de:
Resource Title: 0_readme.Rmd
    Size: 7952 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/89105a24-c1b0-457f-8ad4-deb0a91e2aee/download/0_readme.rmd
    Description: Is the readme that documents all data and code in this repository

de:
Resource Title: IMIS_daily.csv
    Size: 198550707 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/4d2df843-22cf-46a4-84bb-a5eb09e6d1e0/download/imis_daily.csv
    Description: Contains daily climate station data including daily median temperatures, snow depth, plant height, and annual melt-out timings.

de:
Resource Title: grass.png
    Size: 30676 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/c190e750-7951-4434-b3e1-325bca7a6ddc/download/grass.png
    Description: Snow3.png and grass.png are needed for plotting the methods plot in 5_methods_plots.Rmd

de:
Resource Title: pheno_params.csv
    Size: 417970 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/1a1b4c9a-2fe8-471f-8c36-616d5fd17738/download/pheno_params.csv
    Description: Contains annual phenological variables and phenofit outputs, sorted, ordered and renamed according with the readme in this repository

de:
Resource Title: phenostations.csv
    Size: 463262 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/210f372a-6bf4-42ce-aadc-6751e00c2a74/download/phenostations.csv
    Description: Contains filtered annual phenological data from 40 IMIS stations suitable and used for phenological analysis

de:
Resource Title: station_info.csv
    Size: 14695 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/1e867868-1e64-4ec6-9788-aaa7ab9fd561/download/station_info.csv
    Description: Contains IMIS station location data

alpine

display_name: alpine

climate

display_name: climate

grassland

display_name: grassland

imis

display_name: imis

long-term

display_name: long-term

monitoring

display_name: monitoring

phenology

display_name: phenology

snow

display_name: snow

snowmelt

display_name: snowmelt

ultrasonic

display_name: ultrasonic


en: The data described in this article were collected daily over the period 4 June 2018 to 23 August 2018 and contains information of several data sources. The database includes information on national recipes and their ingredients for 171 countries, measures for food taste similarities between all 171 countries as well as bilateral migration and agro-food trade data for 5 years. The database can be used for analyzing e.g., the relation between food preferences and international trade or food preferences and health outcomes (e.g., obesity) across countries.

en: Data of national dishes, their similarity and trade flows

en: agro-food-trade latent-semantic-analysis food-taste-similarity food-preferences national-dishes

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

envi

de: Umwelt

de:
Resource Title: National dishes, migration data and data for bilateral food trade flows
    Size: 22226815 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a7717d8a-4086-453b-868d-02295bcecf8a/resource/47eb0962-d57c-4252-9743-8c9e965e786f/download/gravity_food_sim_final.csv
    Description: The data include information on national dishes, migration data and data for bilateral food
trade flows for 5 years as well as importer and exporter GDP, population, distance between
most populated cities, bilateral information on Preferential Trade Agreements, common
official primary langauge, common colonizer post-1945, colonial relationship for overall
171 countries. The final data set contains 145,350 observations (29,070 country pairs for
5 years)

de:
Resource Title: dyadic food similarity measures, pairwise similarity and dissimilarity (chord diagram)
    Size: 1794299 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/a7717d8a-4086-453b-868d-02295bcecf8a/resource/6b96fac9-bab5-4afb-8fb5-b016897861f6/download/diagrams.7z
    Description: The figures show the distribution of two dyadic food tastes similarity measures on the base of
the national dishes: (i) the Manhattan distance and the (ii) latent semantic analysis. The chord diagram
shows the results for country pairs with most and less similarity on basis of the LSA-approach.

de:
Resource Title: information on ingredients of national dishes
    Size: 95593 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a7717d8a-4086-453b-868d-02295bcecf8a/resource/2bb64e3b-48cc-404d-9fb9-2b7d86e61e76/download/foodculture_dishes_rev2.csv
    Description:  shows information of ingredients of all national dishes of 171 countries and their names

agro-food-trade

display_name: agro-food-trade

food-preferences

display_name: food-preferences

food-taste-similarity

display_name: food-taste-similarity

latent-semantic-analysis

display_name: latent-semantic-analysis

national-dishes

display_name: national-dishes


de: EnviDat

en:
This dataset contains all data, on which the following publication below is based.
Paper Citation:
_Schlierenzauer, C., Risch, A.C., Schütz, M., Firn, J. 2021. Non-native Eragrostis curvula reduces plant species diversity in pastures of South-eastern Australia even when native Themeda triandra remains co-dominant. Plants 10, 596._
Please cite this paper together with the citation for the datafile.
Study area
The study was conducted in the lowland grassy woodlands of the Bega Valley Region, which is located in the south-east corner of New South Wales, Australia. Embedded between the Pacific Ocean and the Australian Alps, the lowland grassy woodlands are mostly located on granitic substrates and reach elevations of roughly 500 m above sea level. Typically, these grassy woodlands receive less precipitation (mean annual precipitation between 700-1100 mm) compared to the more elevated areas that surround them (NSW Government - Office of Environment and Heritage 2017).
The vegetation is dominated by an open tree canopy layer consisting of Eucalyptus tereticornis Sm, Angophora floribunda Sm. (Sweet) and a range of other eucalypt species. Sometimes shrub or small trees are also present, whereas grasses and forbs form the ground-cover. In areas without intensive agricultural history, this layer is dominated by perennial, tussock grasses such as Themeda triandra Forssk, Microlaena stipoides R.Br (Weeping Grass), Eragrostis leptostachya Steud. (Paddock Lovegrass) and Echinopogon ovatus P.Beauv (Forest Hedgehog Grass). The remaining inter-tussock spaces are occupied by a diversity of growth-restricted grasses and herbaceous forbs (NSW - Department of Planing, Industries and Environment 2019; NSW Government - Office of Environment and Heritage 2017).
Clearing, pasture sowing, fertilizer application and livestock grazing resulted in a dramatic decrease in the extent of these natural woodlands, with less than five percent within conservation reserves and overall, with only about 20% of their original extent in New South Wales still existing (Tozer et al. 2010). The remaining areas outside of reserves are threatened by altered fire frequencies, habitat clearing, livestock grazing and especially by non-native plant invasion, particularly Eragrostis curvula (Schrad.) Nees. For this reason, the grassy woodlands are listed as an endangered ecological community in the NSW state legislation. Additionally, they are considered as critically endangered by the Commonwealth of Australia (Threatened Species Scientific Committee (TSSC) 2013).
Experimental design and sampling
The study was conducted on six farms and in each of them two sites were chosen, representing a paired design. One of the sites at each farm is dominated by native Themeda triandra, the other one co-dominated by non-native Eragrostis curvula and Themeda triandra. All farms are within a radius of approximately 10 km from the town Candelo. Three of the farms are located North (36°40’ to 36°42’ S and 149°38’ to 149°42’ E) and three of them are located South (36°51’ to 36°49’ S and 149°38’ to 149°42’ E) of Candelo.
Non-native herbivores (mainly cattle, sheep and rabbits) and native herbivorous marsupials (mainly kangaroos, wallabies and wombats) are present in the area of these sites. On each site, data was collected within four plots (each 1 x 1 m) in May and November 2020. All plant species found within a plot were recorded and their relative abundance was estimated.
References
NSW - Department of Planing, Industries and Environment. 2019. “Lowland Grassy Woodland in the South East Corner Bioregion - Endangered Ecological Community Listing.” https://www.environment.nsw.gov.au/topics/animals-and-plants/threatened-species/nsw-threatened-species-scientific-committee/determinations/final-determinations/2004-2007/lowland-grassy-woodland-south-east-corner-bioregion-endangered-ecological-community-l (February 18, 2021).
NSW Government - Office of Environment and Heritage. 2017. “Lowland Grassy Woodland in the South East Corner Bioregion - Profile.” https://www.environment.nsw.gov.au/threatenedSpeciesApp/profile.aspx?id=20070 (January 31, 2021).
Threatened Species Scientific Committee (TSSC). 2013. Environment Protection and Biodiversity Conservation Act 1999 (EPBC Act) Conservation Advice for Lowland Grassy Woodland in the South East Corner Bioregion. http://www.environment.gov.au/biodiversity/threatened/communities/pubs/82-conservation-advice.pdf.
Tozer, Mark et al. 2010. “Native Vegetation of Southeast NSW: A Revised Classification and Map for the Coast and Eastern Tablelands.” Cunninghamia : a journal of plant ecology for eastern Australia 11(3): 359–406.

en: Native and no-native plant interactions in Australian grasslands

en: native-plant non-native-plant weed-management grassland herbivory

herbivory

display_name: herbivory

native-plant

display_name: native-plant

non-native-plant

display_name: non-native-plant

weed-management

display_name: weed-management


en:
*Currently, this dataset is intended solely for article review purposes and may not be used for any other purposes.*
This dataset consists of a series of full snow profiles collected at the field site of Weissfluhjoch, Davos, Switzerland over the two snow seasons of 2022-2023 and 2023-2024. This series of snow profiles was collected with a high vertical and temporal resolution, with a specific focus on the melting seasons, during which up to 3 snow profiles per week were sampled. This dataset is part of the measurement campaign carried out within the SnowTinel project, whose aim is to explore the Sentinel-1 SAR backscattering response to melting Alpine snowpacks. Therefore, this dataset contains manual measurements of the main properties of snow which are responsible for scattering, i.e. temperature, density, specific surface area (SSA), liquid water content (LWC), surface roughness and snow water equivalent (SWE).
The dataset is composed of a total of 85 snow profiles, 38 carried out in 2022-2023 and 47 in 2023-2024.
  - Profiles of snow **temperature** were sampled at a vertical resolution of 10 cm (2022-2023) and 5 cm (2023-2024) using HI98501 Checktemp from Hanna Instruments;
   - Profiles of snow **density** were sampled at a vertical resolution of 3 cm using a box density cutter and a digital scale;
   - Profiles of snow **specific surface area** were sampled at a vertical resolution of 4 cm using the InfraSnow sensor from FPGA;
   - Profiles of snow **liquid water content** were sampled at a vertical resolution of 2 cm using the Denothmeter (2022-2023) and the New Capacitive Sensor from FPGA (2023-2024). In conditions of ripe snow, dielectric measurements were backed up by melting calorimetry measurements following a recently revised field protocol;
   - Snow **surface roughness** is expressed by the Root Mean Square of the Heights (RMSH) and the correlation length (CL), both computed from a digitized snow transect obtained by a digital photograph of a panel vertically inserted into the snow.
- **Snow water equivalent** was sampled in sections from the surface to the bottom of the snowpack with a cylinder cutter.

Additionally, **runoff** was automatically measured in the close proximity to the measurement field at a sub-hourly resolution by a lysimeter. The instrument was unfortunately discovered to be clogged at the start of the runoff in 2023 and only repaired in late May 2023. Therefore, the time series is not explanatory for the runoff start in 2023. The instrument was inspected timely and assessed as fully functional for the following snow season. The manually measured values of **SWE** are complemented by an automatically recorded time series at sub-hourly time intervals with a SSG1000 snow scale manufactured by Sommer Messtechnik, Austria.

 ---

- References:
  - HI98501 Checktemp: [https://www.hannainstruments.co.uk/modules/teapotknowledgehub/uploads/ist98501_06_18-60d496ca2cd31.pdf](https://www.hannainstruments.co.uk/modules/teapotknowledgehub/uploads/ist98501_06_18-60d496ca2cd31.pdf)
  - InfraSnow sensor: Wolfsperger, Fabian & Ziegler, Silvio & Schneebeli, Martin & Löwe, Henning. (2022). Evaluation of the InfraSnow: a handheld device to measure snow specific surface (SSA). 10.13140/RG.2.2.31566.95047; [https://snow-sen.com/infrasnow-ssa-sensor-2/](https://snow-sen.com/infrasnow-ssa-sensor-2/)
  - Denothmeter: Denoth, A. “An Electronic Device for Long-Term Snow Wetness Recording.” Annals of Glaciology 19 (1994): 104–6. [https://doi.org/10.3189/S0260305500011058](https://doi.org/10.3189/S0260305500011058)
  - New Capacitive Sensor: Wolfsperger, Fabian & Geisser, Michel & Ziegler, Silvio & Löwe, Henning. (2023). A NEW HANDHELD CAPACITIVE SENSOR TO MEASURE SNOW DENSITY AND LIQUID WATER CONTENT; [https://snow-sen.com/slf-snowpro-40/](https://snow-sen.com/slf-snowpro-40/)
  - Melting calorimetry: Barella, R., Bavay, M., Carletti, F., Ciapponi, N., Premier, V., and Marin, C.: Unlocking the potential of melting calorimetry: a field protocol for liquid water content measurement in snow, The Cryosphere, 18, 5323–5345, [https://doi.org/10.5194/tc-18-5323-2024](https://doi.org/10.5194/tc-18-5323-2024), 2024.
  - Surface roughness: B. Riccardo, C. Marin, M. Callegari, M. Gianinetto, T. Moranduzzo and C. Notarnicola, "A Low-Cost Portable Automatic System for Snow Surface Roughness Measurements Based on Digital Photography," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 2021, pp. 5562-5565, doi: [https://doi.org/10.1109/IGARSS47720.2021.9553989](https://doi.org/10.1109/IGARSS47720.2021.9553989).
  - SSG: [https://www.sommer.at/de/produkte/schnee-eis/schneewaage-ssg-2](https://www.sommer.at/de/produkte/schnee-eis/schneewaage-ssg-2)

en: SnowTinel high-temporal-resolution ground truth dataset for SAR remote sensing of snow

en: snow-ssa snow-lwc wet-snow snow-density surface-roughness snow-roughness snow-melt sentinel-1 snow-profiles radar snow-temperature satellite

de:
Resource Title: snowtinel_profiles_2022_2023.csv
    Size: 937388 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/43461178-b0b2-4c9b-895e-8398b986f552/download/snowtinel_profiles_2022_2023.csv
    Description: Snow profiles collected on the snow season 2022-2023.

de:
Resource Title: snowtinel_surface_roughness_2022_2023.csv
    Size: 8331 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/73fa5ef7-87f6-4d3b-80c1-735434645659/download/snowtinel_surface_roughness_2022_2023.csv
    Description: Manually measured time series of surface roughness (2022-2023).

de:
Resource Title: ssg1000_data_2022_2024.smet
    Size: 3369857 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/aaf9b5e2-1621-4d29-a37f-8df71f673e35/download/ssg1000_data_2022_2024.smet
    Description: Snow water equivalent time series automatically recorded from the snow scale (2022-2024).

de:
Resource Title: lysimeter_data_2022_2024.smet
    Size: 3369865 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/84b800f0-f5df-48ca-9474-005e952118de/download/lysimeter_data_2022_2024.smet
    Description: Runoff time series automatically recorded from the lysimeter (2022-2024).

de:
Resource Title: snowtinel_surface_roughness_2023_2024.csv
    Size: 10407 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/95e1f75e-f4a1-448b-b8a1-418b3872e2a4/download/snowtinel_surface_roughness_2023_2024.csv
    Description: Manually measured time series of surface roughness (2023-2024).

de:
Resource Title: snowtinel_swe_2023_2024.csv
    Size: 624 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/40dcf569-8e0b-4496-a556-79259095bf34/download/snowtinel_swe_2023_2024.csv
    Description: Manually measured time series of snow water equivalent (2023-2024).

de:
Resource Title: README.txt
    Size: 9428 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/cf3ee004-243a-48de-92a3-14e46a8f25d4/download/readme.txt
    Description: General metadata and detailed data description.

format: TXT

media_type: text/plain

de:
Resource Title: snowtinel_profiles_2023_2024.csv
    Size: 1435676 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/6c8939cc-2947-43c4-b0d5-9750e3bd00ab/download/snowtinel_profiles_2023_2024.csv
    Description: Snow profiles collected on the snow season 2023-2024.

de:
Resource Title: snowtinel_swe_2022_2023.csv
    Size: 592 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/41520f26-a39e-40b9-b966-cc2ffec6f95d/download/snowtinel_swe_2022_2023.csv
    Description: Manually measured time series of snow water equivalent (2022-2023).

radar

display_name: radar

satellite

display_name: satellite

snow-density

display_name: snow-density

snow-lwc

display_name: snow-lwc

snow-melt

display_name: snow-melt

snow-profiles

display_name: snow-profiles

snow-roughness

display_name: snow-roughness

snow-ssa

display_name: snow-ssa

snow-temperature

display_name: snow-temperature

surface-roughness

display_name: surface-roughness

wet-snow

display_name: wet-snow


en:
Individual genotypes assessed at six nuclear microsatellite loci (two alleles per locus) for individuals of the butterfly Melanargia galathea (Marbled white) that were collected throughout Switzerland, along the regular grid of the Biodiversity Monitoring (BDM) of Switzerland. For each individual, the sampling site (number) and the genotype are given. Note that due to privacy restrictions, the original geographic coordinates remain disclosed. For original coordinates, data holders should be contacted (Swiss Federal Office for the Environment; Biodiversity Monitoring Switzerland).
The data refer to the following publication: Terzer et al., Distinct spatial patterns of genetic structure and diversity in the butterfly Marbled White (Melanargia galathea) inhabiting fragmented grasslands. Conservation Genetics, https://doi.org/0.1007/s10592-023-01593-4.

en: Nuclear microsatellite genotypes of the butterfly Melanargia galathea

en: genetic-diversity genetic-structure monitoring melanargia-galathea conservation-genetics

envi

en: Environment

conservation-genetics

display_name: conservation-genetics

genetic-diversity

display_name: genetic-diversity

genetic-structure

display_name: genetic-structure

melanargia-galathea

display_name: melanargia-galathea

monitoring

display_name: monitoring


en: The dataset contains individual genotypes at 11 nuclear microsatellite markers of samples of Swiss stone pine (*Pinus cembra*). Samples were collected in 12 natural and presumably planted stands in the canton of Fribourg (Switzerland). The dataset is complemented by individual genotypes (same markers) from samples of a subset of 40 populations across the European Alps (taken from Gugerli et al., Journal of Biogeography 2023; https://doi.org/10.1111/jbi.14586; dataset archived at Dryad, https://doi.org/10.5061/dryad.866t1g1v6).

en: Nuclear microsatellite genotypes of Pinus cembra

en: molecular-markers genetic-structure pinus-cembra afforestation reproductive-matieral

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:
Resource Title: PopInfoFR.csv
    Size: 887 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/71fd7622-d0a6-421d-b6ad-436c2cafebd6/resource/5fd90c6f-ee7d-4b34-bfb3-01a457760aa2/download/popinfofr.csv
    Description:

de:
Resource Title: GenIndFR.csv
    Size: 29239 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/71fd7622-d0a6-421d-b6ad-436c2cafebd6/resource/8a9e5104-43b4-4e09-a3b8-ceae90131f0d/download/genindfr.csv
    Description:

de:
Resource Title: PopInfoAlps.csv
    Size: 2271 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/71fd7622-d0a6-421d-b6ad-436c2cafebd6/resource/557bdce7-f96a-474f-8302-d1ff00cae2b7/download/popinfoalps.csv
    Description:

de:
Resource Title: PopInfoAlps.csv
    Size: 2271 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/71fd7622-d0a6-421d-b6ad-436c2cafebd6/resource/80c99523-79be-4f9d-b9e6-f42932bfe941/download/popinfoalps.csv
    Description:

de:
Resource Title: Sonnenwyl_etal_ReadMe.txt
    Size: 1978 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/71fd7622-d0a6-421d-b6ad-436c2cafebd6/resource/1d053730-6b8c-42a6-9339-a4fafbaebd5e/download/sonnenwyl_etal_readme.txt
    Description: metadata and description of dataset

afforestation

display_name: afforestation

molecular-markers

display_name: molecular-markers

pinus-cembra

display_name: pinus-cembra

reproductive-matieral

display_name: reproductive-matieral


en:
The Jorat is one of the largest continously forested areas in the Swiss Plateau. On a forested area of 778 ha, the Parc Naturel du Jorat (PNJ), a periurban parc, has been established in 2022. To document the initial state of the forest within the perimeter of the PNJ, a sample plot inventory (SPI) was carried out on 132 sample plots (SP) in winter 2021/22.
This dataset contains results from this sample plot inventory. It consists of the following files:
- results_trees.csv: Results for or living and dead trees.
- results_regeneration.csv: Results for trees with DBH - 7.0 cm, assessed in three height classes.
- results_lying_deadwood.csv: Results for lying deadwood, assessed no three line transects
- results_trems.csv: Results for occurence of tree related microhabitats (TreMs)
- results_habitat_trees.csv: Results for occurence / densities of trees carrying at least one TreM or with a DBH -= 80 for living trees or -= 36 cm for dead trees respectively.
- lookup.csv: Contains lookup tables which describe the respective results in-depth.
- data_description.pdf: Briefly describes the datasets mentioned above.

en: Sample plot inventory data form the Parc Naturel du Jorat

en: beech swiss-plateau temperate-forests forest-in forest-reserves

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

envi

de: Umwelt

de:
Resource Title: Results TreMs
    Size: 9840 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/93a5dba0-ae68-482d-bb87-5f5c62538cf3/download/results_trems.csv
    Description: The file results_trems.csv contains results for the density of TreMs per ha.

de:
Resource Title: Data description
    Size: 102082 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/f3201ed0-992c-4d3d-a460-1fa1ce4478a0/download/description_envidat.pdf
    Description: This document briefly describes the datasets.

format: PDF

media_type: application/pdf

de:
Resource Title: Results habitat trees
    Size: 1098 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/5f308438-a867-4aa0-8e2d-1e8d1f65c423/download/results_habitat_trees.csv
    Description: The file results_habitat_trees.csv contains results for the number of habitat trees.

de:
Resource Title: Results lying deadwood
    Size: 2436 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/c8f653da-6b07-4949-a7c7-19f9ae1b51e0/download/results_lying_deadwood.csv
    Description: The file results_lying_deadwood.csv contains results of the lying deadwood survey.

de:
Resource Title: Lookup
    Size: 9034 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/6e728238-c52f-4b72-ae3f-a5109aefbd72/download/lookup.csv
    Description: The file lookup.csv contains description for the values shown in the 5 result tables.

de:
Resource Title: Results trees
    Size: 494778 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/008f44a9-3aa7-4cb6-a69c-f11bbd63c8e7/download/results_trees.csv
    Description: The file results_trees.csv contains results of living, standing and lying and dead standing
trees as well as for stumps (trees found on the plot but broken / cut below 1.3 m).

de:
Resource Title: Results regeneration
    Size: 6112 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/db868a5f-c640-4346-ac88-10e1b7052dba/download/results_regeneration.csv
    Description: The file results_regeneration.csv contains results of the regeneration survey.

beech

display_name: beech

forest-in

display_name: forest-in

forest-reserves

display_name: forest-reserves

swiss-plateau

display_name: swiss-plateau

temperate-forests

display_name: temperate-forests


de: EnviDat

en:
The list gives the clearly identifiable plant species from Schinz (1775). Die Reise auf den Uetliberg. Verlag des Waysenhauses, Zürich). Several species given in Schinz (1775) are not identifiable to the species level and are not included in the list. Similarly, *Vicia pisiformis*, Erbsenartige Wicke, given by Schinz (1775) is probably a misidentification and also not included in the list.
Latin plant species name Schinz 1775: Latin plant name (if) given by Schinz (1775); na: not available
German plant species name Schinz 1775: German plant name given by Schinz (1775)
Latin plant species name Info Flora 2024: Latin plant name according to www.infoflora.ch in 2024
German plant species name Info Flora 2024: German plant name according to www.infoflora.ch in 2024
Plant species still occurring in 2020: Plant species given in Schinz (1775) still occurring at the Uetliberg in 2020 (Zürcherische Botanische Gesellschaft. 2020. Flora des Kanton Zürich. Haupt, Bern); occurrence of *Thesium alpinum*, Alpen-Bergflachs, according to floristic knowledge of Rolf Holderegger and Michèle Büttner; 1: still occurring; 0: no longer occurring / extinct.

en: Plant species list from 1775 and 2020 for Uetliberg Zürich

en: zurich uetliberg plant-species flora-change occurrence

flora-change

display_name: flora-change

occurrence

display_name: occurrence

plant-species

display_name: plant-species

uetliberg

display_name: uetliberg

zurich

display_name: zurich


en:
This dataset contains volumetric water content measurements, water level, and pressure for a location along the Illgraben debris-flow channel (46°18'34.92"N, 7°37'59.26"E). The measurements (165780 data points) were conducted during the 2022 debris-flow season (May to October) at a sampling rate of five minutes. The dataset specifically contains:
- At 0.25 m depth with an ECH2O EC-5 sensor: volumetric water content (VWC)
- At 0.45 m depth with an ECH2O EC-5 sensor: VWC
- At 0.65 m depth with a TEROS 12: VWC
- At 0.85 m depth with a TEROS 12: VWC
- At 0.80 m depth with a CTD10: water level (WL), temperature (T), electric conductivity (EC) and air reference pressure (Pref)
Please note that due to malfunctioning the CTD10 data was only available until 27 June 2022.
More specific sensor information can be found in the manuals under the following links:
[EC-5](https://publications.metergroup.com/Manuals/20431_EC-5_Manual_Web.pdf)
[TEROS 12](https://publications.metergroup.com/Manuals/20587_TEROS11-12_Manual_Web.pdf)
[CTD10](https://www.agrolan.co.il/UploadProductFiles/CTD-10-manual.pdf)
For a detailed description of the dataset and its use, please refer to the related publication.

en: Volumetric Water Content Measurements at Illgraben 2022

en: debris-flow soil-moisture measurement illgraben water-content hydrology

de:
Resource Title: readme.md
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    Format: text/markdown
    URL: https://www.envidat.ch/dataset/38eb1f60-9d3b-46bf-ab58-ba2f89ba0ed2/resource/dd78b123-0fa5-447a-af72-08bd58ab57fe/download/readme.md
    Description:

de:
Resource Title: SM_Illgraben_2022.csv
    Size: 1619689 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/38eb1f60-9d3b-46bf-ab58-ba2f89ba0ed2/resource/521b8f13-6af9-4575-824c-969ea8914adc/download/sm_illgraben_2022.csv
    Description:

debris-flow

display_name: debris-flow

hydrology

display_name: hydrology

illgraben

display_name: illgraben

measurement

display_name: measurement

soil-moisture

display_name: soil-moisture

water-content

display_name: water-content


en: With this study, our aim was to estimate the nutrient fluxes relevant for assessing nutrient sustainability as accurately as possible and to calculate nutrient balances for alternative forest management scenarios. Furthermore, we tested whether mapping units from existing geologic maps can serve as a basis for forest practitioners to estimate nutrient sustainability or whether more detailed data is needed. Positive fluxes include deposition and weathering, while negative fluxes include losses due to leaching and nutrient removal through timber harvesting in the balance. Weathering and leachate losses were modeled with a geochemical model. The SwissStandSim model was used to simulate the biomass growth under different harvesting and silvicultural strategies, allowing sustainability to be assessed for each nutrient at a given intensity of use. This assessment was made per rotation period of 100 years based on two criteria: i) nutrient supply; and ii) total stocking volume.

en: Nutrient sustainability in beech forests

en: beech mass-balance soil nutrient sustainability

de:
Resource Title: Soil_Properties_TabA2.xlsx
    Size: 50339 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b938dd05-54ab-4dc0-b7d8-a106567322f4/resource/ba211033-8761-4d53-a1fd-6e741926f3d6/download/soil_properties_taba2.xlsx
    Description:

de:
Resource Title: Nutrient_export_harvesting.xlsx
    Size: 15618 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b938dd05-54ab-4dc0-b7d8-a106567322f4/resource/3f5aa362-7738-4a1e-8cce-9c0b60f0ef71/download/nutrient_export_harvesting.xlsx
    Description:

de:
Resource Title: Nutrient_mass_balances.xlsx
    Size: 27714 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b938dd05-54ab-4dc0-b7d8-a106567322f4/resource/23bb8222-159c-42b8-8e06-dd14b8469600/download/nutrient_mass_balances.xlsx
    Description:

de:
Resource Title: Nutrient_tree_compartments.xlsx
    Size: 39892 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b938dd05-54ab-4dc0-b7d8-a106567322f4/resource/59464da8-a4aa-4adf-86d1-df763223e9c4/download/nutrient_tree_compartments.xlsx
    Description:

mass-balance

display_name: mass-balance

nutrient

display_name: nutrient

soil

display_name: soil

sustainability

display_name: sustainability


en:
This dataset contains annual data on carbon, oxygen and hydrogen stable isotope ratios from tree-ring cellulose in 24 silver fir and 24 Douglas-fir trees in Switzerland for the period 2000-2020. It also contains the corresponding tree-ring widths and information on the trees (e.g., tree crown volume).
In addition, the dataset contains variables characterizing the local neighborhood of the sampled trees (competition and diversity indices) used in Charlet de Sauvage, J., Treydte, K., Saurer, M., & Lévesque, M. (2024). Triple-isotope analysis in tree-ring cellulose suggests only moderate effects of tree species mixture on the climate sensitivity of silver fir and Douglas-fir. Tree Physiology, tpae067. https://doi.org/10.1093/treephys/tpae067.
Oxygen and hydrogen stable isotope ratios were also used in Charlet de Sauvage, J., Saurer, M., Treydte, K.,  & Lévesque, M. (in revision) Decoupling of tree-ring cellulose δ18O and δ2H highlighted by their contrasting relationships to climate and to tree intrinsic variables. Plant, Cell & Environment.
A readme file accompanying the dataset explains each variable.

en: Carbon, oxygen and hydrogen isotopes in tree-ring cellulose of silver fir and Douglas-fir in Switzerland

en: crown-volume tree-ring-cellulose stable-isotopes tree-ring-width abies-alba hydrogen species-mixture oxygen pseudotsuga-menziesii carbon

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.

envi

en: Environment

de:
Resource Title: Readme dataset (.txt)
    Size: 3621 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4ab59ee2-10b0-4f82-9646-249acac8ce34/resource/82c6815d-812f-4a04-b544-4d7106dd7f86/download/readme_dataset_triple_isotope_a_alba_p_menziesii.txt
    Description: This file contains the description of each variable in the dataset and references to the corresponding scientific publications.

de:
Resource Title: Dataset triple isotope Abies alba Pseudotsuga menziesii (.csv)
    Size: 195358 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/4ab59ee2-10b0-4f82-9646-249acac8ce34/resource/f4cf47cb-e9b8-49ce-8edc-39cba67566a0/download/dataset_triple_isotope_a_alba_p_menziesii.csv
    Description: This file contains all the data on the trees, the tree-ring width and the stable isotope ratios.

abies-alba

display_name: abies-alba

carbon

display_name: carbon

crown-volume

display_name: crown-volume

hydrogen

display_name: hydrogen

oxygen

display_name: oxygen

pseudotsuga-menziesii

display_name: pseudotsuga-menziesii

species-mixture

display_name: species-mixture

stable-isotopes

display_name: stable-isotopes

tree-ring-cellulose

display_name: tree-ring-cellulose

tree-ring-width

display_name: tree-ring-width


en: Data (Quantitative Wood Anatomy, Maximum Latewood Density, Volumetric Density, holo-cellulose-to-wood-ratio) used in the manuscript "New Prospects for Temperature Reconstructions from Relict Wood Using Tree-Ring Anatomy". Wood samples stem from Larix sibirica collected in the Yamal region, northeastern Siberia, Russia. We investigated wood properties of living trees and subfossil wood buried in riverbank sediments, dated to approximately -2760 to -2600 BCE. Our goal was to evaluate the integrity of climate proxies in sub-fossil wood and develop practical methods to detect wood degradation when reconstructing Late Holocene and Common Era climate conditions using tree-ring data.

en: Quantitative Wood Anatomy and Maximum Latewood Density from Yamal peninsula

en: temperature-reconstruction wood-anatomy mxd paleoclimate tree-ring

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: das Umwelt-Datenportal

envi

de: Umwelt

de:
Resource Title: Figure3_dataset.txt
    Size: 8581 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/743a897f-26e7-4871-a014-b0f95238564d/resource/2435516e-8dfc-4347-a35c-893eadcdf569/download/figure3_dataset.txt
    Description: This dataset contains the mean chronologies of MXD and QWA of the relict and living wood material presented in Figure 3. It also contains the JJA temperature record of the Salekhard Meteo station.

de:
Resource Title: Figure2_dataset.csv
    Size: 1668 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/743a897f-26e7-4871-a014-b0f95238564d/resource/b0e00f50-78a2-4006-ab8d-7d4d796efc05/download/bulkdensity.csv
    Description: This dataset contains data presented in Figure 2 in the paper "New Prospects for Temperature Reconstructions from Relict Wood Using Tree-Ring Anatomy".

Sample ID = Sample ID
group = living or relict wood material
Bulk wood density = volumetric measured density (kg / m^3)
Mean Tree Ring Density	= Density derived via X-ray densitometry (kg / m^3)
Cellulose_to_wood ratio = Holo-cellulose-to-wood ratio
Anatomical density = Area of cell wall / (area of cell wall + lumen area)

mxd

display_name: mxd

paleoclimate

display_name: paleoclimate

temperature-reconstruction

display_name: temperature-reconstruction

tree-ring

display_name: tree-ring

wood-anatomy

display_name: wood-anatomy


en:
Data on the diet of urban and rural bumblebees individuals, Bombus lapidarius and Bombus pascuorum, collected in Switzerland (cantons Bern, Basel and Zürich) obtained using metabarconding and chemical analyses from two pollen transportation structures, that is, the body and the leg-baskets (i.e., corbicula). The bumblebees were collected by Egenberger et al., 2019 (https://doi.org/10.5061/dryad.qt8mr4v)
The data contains:
- The composition and relartive abundance of plant species in the body and the leg-baskets, separately.
- The content and ratios of two groups of macronutrients, that is, amino acids and fatty acids.
The dataset contains the data used in the paper "Urban bumblebees diversify their foraging strategy to maintain nutrient intake" as well as unpublished data.

en: basel foraging-behaviour nutrient-intake pollen-metabarcoding bees lad-use-chages urban bern macronutrients dietary-patterns bumblebees rural bombus-pasquorum zurich bombus-lapidarius

envidat

en: EnviDat: the Environmental Data Portal

de:
Resource Title: Dataset6_Functional_Diversity.csv
    Size: 86806 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ae82037f-c201-4f1d-9a57-162a25264ddb/resource/06afcb49-cc9f-45da-b64f-5860c277d498/download/dataset6_functional_diversity.csv
    Description: Processed data. The dataset contains the functional diversity metrics based on the plant composition from the leg-baskets per bumblebee individual. It contains:

- SampleID: Combining bumblebee ID, location, landscape and replica
- Location: canton, levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: landscape type, levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) within location and landscape. Levels:  A-E.
- LocationLandscape: combining location and landscape
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- Fric.w: Weighted functional richness
-Fric: functional richness
-FEve.w: Weighted functional evenness
- FEve: functional evenness
- FDiv.w: weighted functional divergence
- FDiv: functional divergence

de:
Resource Title: Dataset4_Fattyacids.csv
    Size: 58574 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ae82037f-c201-4f1d-9a57-162a25264ddb/resource/0b2c5c45-629f-4b01-8c58-535c06c74fb2/download/dataset4_fattyacids.csv
    Description: The dataset contains the fatty acid content and ratios for the two bumblebees. Measures are taken only from pollen from the leg-baskets. SampleID is not the same as in the metabarcoding, several samples from different bumblebees were merged within a Location ,Landscape and Replica. Not for all the samples there is information on both amino acids and fatty acids. The columns are:

- SampleID_chemical: The ID for chemical analyses
- Location: the three Swiss cantons studied. Levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: the two typea of human-dominated ecosystems, nested to the Swiss canton. Levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) nested with the location and the landscape. Levels:  A-E.
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- LocationLandscape: combination between location and landscape
- Caprylic, Pelargonic, ..., Lacceroic: Content of individual fatty acids acids.
- sum: total sum of fatty acid content (mg)
- unsaturatedsum: total sum unsaturated fatty acids (mg)
- saturatedsum: total sum saturated fatty acids (mg)
- omega3sum: total sum Omega 3 fatty acids (mg)
- omega6sum: total sum Omega 6 fatty acids (mg)
- omega9sum: total sum Omega 9 fatty acids (mg)
- omega6to3ratio: ratio Omega 6 to Omega3 fatty acids
-saturatedtounsaturatedration: ratio between saturated and unsaturated fatty acids

de:
Resource Title: Dataset3_Aminoacids.csv
    Size: 23314 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ae82037f-c201-4f1d-9a57-162a25264ddb/resource/ce8bb95f-caaf-4959-a7c9-07bf93806939/download/dataset3_aminoacids.csv
    Description: The dataset contains the amino acid content and ratios for the two bumblebees. Measures are taken only from pollen from the leg-baskets. SampleID is not the same as in the metabarcoding, several samples from different bumblebees were merged within a Location ,Landscape and Replica. Not for all the samples there is information on both amino acids and fatty acids. The columns are:

- SampleID_chemical: The ID for chemical analyses
- Location: the three Swiss cantons studied. Levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: the two typea of human-dominated ecosystems, nested to the Swiss canton. Levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) nested with the location and the landscape. Levels:  A-E.
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- LocationLandscape: Combining location and landscape
- Asp,  Thr, ..., Arg: Content of individual amino acids. Amino acids are written as abbreviated names. FUll names be checked here: https://en.wikipedia.org/wiki/Amino_acid
- sum: total sum of amino acid content (mg)
- sumessential: total sum essential amino acids  (mg)
-sumnon-essential: total sum non-essential amino acids (mg)
- proportionnonessentialessential: proportion between essential and non-essential amino acids.

de:
Resource Title: Dataset1_Composotion_pollen.csv
    Size: 709634 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ae82037f-c201-4f1d-9a57-162a25264ddb/resource/0fd97e8a-015e-4f9b-8c28-14ce1ae4dc6a/download/dataset1_metabarcoding_pollen.csv
    Description: The dataset contains the filtered plant composition1  (removing species with too low relative abundances) and the relative abundance obtained from DNA metabarcoding on pollen samples for both the leg-baskets and the body. The dataset contains the following columns:

- SampleID: Combining bumblebee ID, location, landscape and replica
- Abundance: numeric, relative abundance
- BumblebeeID: numerical ID for each bumblebee individual within a location, landscape and replicate sampling place.
- Location: canton, levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: landscape type, levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) within location and landscape. Levels:  A-E.
- LocationLandscape:
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- Transportation_structure: bumblebee pollen transportation structure, levels: B = Body; L = leg-baskets (i.e. corbicula)
- Kingddom: taxonomic
- Phylum: taxonomic
- Order: taxonomic
- Family: taxonomic
- Genus: taxonomic
- Species: plant sicentific name
-Binomial_abundance: Logic, indicating if the plant species is included (1).

The raw metabarcoding data is archived in NCBI project PRJNA1137320

de:
Resource Title: Dataset5_Species_richness.csv
    Size: 14377 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ae82037f-c201-4f1d-9a57-162a25264ddb/resource/79d981d0-0c62-4e78-810f-750644a08176/download/dataset5_species_richness.csv
    Description: Processed data. The dataset contains the plant species richness in the leg-baskets per bumblebee individual. It contains:

- SampleID: Combining bumblebee ID, location, landscape and replica
- Location: canton, levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: landscape type, levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) within location and landscape. Levels:  A-E.
- LocationLandscape: combining location and landscape
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- Plant species richness: the number of plant species found in the pollen of the leg-baskets.

de:
Resource Title: Dataset8_PlantTraits.csv
    Size: 33177 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ae82037f-c201-4f1d-9a57-162a25264ddb/resource/79128caa-e0a4-43d6-8b60-ff111075a984/download/dataset8_planttraits.csv
    Description: The dataset contains the plant trait values obtined from published sources. It contains:
- Kingddom: taxonomic
- Phylum: taxonomic
- Order: taxonomic
- Family: taxonomic
- Genus: taxonomic
- Species: species name
- plant.species: full scientific name
- native_exotic: origin status. As presented in https://www.doi.org/10.16904/envidat.210
- pollination mode: vector of pollination. As presented in https://www.doi.org/10.16904/envidat.210
- Flowering_months_duration: Number of flowering months. As presented in https://www.doi.org/10.16904/envidat.210
- start_flowering: month of the starting of the flowering. As presented in https://www.doi.org/10.16904/envidat.210
- growth_form_category: plant growth form. As presented in https://www.doi.org/10.16904/envidat.210
- plant-height: plant heght in meters. As presented in https://www.doi.org/10.16904/envidat.210
- inflorescence: Logic, plant with single flowers (0) or inflorescences (1). As presented in https://www.doi.org/10.16904/envidat.210
- structural_blossom_class: depicting the accessibility of the flowers. As presented in https://www.doi.org/10.16904/envidat.210
- symmetry: floral symmetry. As presented in https://www.doi.org/10.16904/envidat.210
- nectar: logic, nectar present. As presented in https://www.doi.org/10.16904/envidat.210
- pollen: logic, pollen rewards present. As presented in https://www.doi.org/10.16904/envidat.210
- oil: logic. oil present. As presented in https://www.doi.org/10.16904/envidat.210
- sugar.concentration: the amount of sugar present in the nectar, in mg.

Additional information can be found in https://doi.org/10.1016/j.dib.2021.107243

de:
Resource Title: Dataset7_Phylogenetic_Diversity.csv
    Size: 74413 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ae82037f-c201-4f1d-9a57-162a25264ddb/resource/f34a3f6e-91f3-4619-a258-8e4408050032/download/dataset7_phylogenetic_diversity.csv
    Description: Processed data. The dataset contains the phylogeneitc diversity metrics based on the plant composition from the leg-baskets per bumblebee individual. It contains:

- SampleID: Combining bumblebee ID, location, landscape and replica
- Location: canton, levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: landscape type, levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) within location and landscape. Levels:  A-E.
- LocationLandscape: combining location and landscape
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- PVar: phylogenetic variance
- PRic: Phylogenetic richness
- PEve: Phylogenetic evenness
- PClu: Phylogenetic clustering

de:
Resource Title: Dataset2_sites.csv
    Size: 1248 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ae82037f-c201-4f1d-9a57-162a25264ddb/resource/75bace68-f772-4103-9fdf-8395ce1c3d51/download/dataset2_sites.csv
    Description: The dataset contains the information on the 16 study sites:

- Location: the three Swiss cantons studied. Levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: the two typea of human-dominated ecosystems, nested to the Swiss canton. Levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) nested with the location and the landscape. Levels:  A-E.
- Site_ID: combination of location, landscape and replicate
- X: X coordinate, WGS84
- Y: Y coordinate WGS84
- Plant S in landscape: Plant species richness within the 800 m calculated using both information from the Global Biodiversity Information. Facility (GBIF) and InfoFlora (www.infoflora.ch).
- % Buildings: the proportion of buildings and other impervious surfaces within 800 m radius.
- % Agricultural: the proportion of agricultural land and other impervious surfaces within 800 m radius.
- % Water: the proportion of water and other impervious surfaces within 800 m radius.
- % Meadows & grasslands: the proportion of meadows and grasslands and other impervious surfaces within 800 m radius.

The raw metabarcoding data is archived in NCBI project PRJNA1137320.

basel

display_name: basel

bees

display_name: bees

bern

display_name: bern

bombus-lapidarius

display_name: bombus-lapidarius

bombus-pasquorum

display_name: bombus-pasquorum

bumblebees

display_name: bumblebees

dietary-patterns

display_name: dietary-patterns

foraging-behaviour

display_name: foraging-behaviour

lad-use-chages

display_name: lad-use-chages

macronutrients

display_name: macronutrients

nutrient-intake

display_name: nutrient-intake

pollen-metabarcoding

display_name: pollen-metabarcoding

rural

display_name: rural

urban

display_name: urban

zurich

display_name: zurich


de: EnviDat

en:
Soil chemical and biological properties of soils affected by 10 different perturbations related with global change, applied individually or in combination. Greenhouse experiment. Perturbations applied to intact soil cores (15 cm diameter, 15 cm deep) collected in an extensively managed grassland on the WSL grounds in June 2023.
This dataset contains all data on which the publication below was based:
"Fioratti Junod M, Gombeer S, Holmes J, Zimmerman S, Rillig M, Risch AC and Cordero I. Soil functionality declines under multiple superimposed global change perturbations. XXXX "
Please, cite this publication together with the citation of the datafile.
Database includes:
Pot_ID: pot or soil core identifier.
Batch: numeric, 1 or 2.
Enzyme_plate: numeric, from 1 to 6.
Number_of_perturbations: numeric, from 0 to 10.
N_addition: binary. Yes = 1, No = 0.
P_addition: binary. Yes = 1, No = 0.
Defoliation: binary. Yes = 1, No = 0.
Trampling: binary. Yes = 1, No = 0.
Insecticide: binary. Yes = 1, No = 0.
Fungicide: binary. Yes = 1, No = 0.
Herbicide: binary. Yes = 1, No = 0.
Antibiotic: binary. Yes = 1, No = 0.
Drought: binary. Yes = 1, No = 0.
Heat_wave: binary. Yes = 1, No = 0.
Treatment: character. Description of the treatment, 15 levels.
SWC: soil water content. Numeric, unitless.
Green_biomass: green plant biomass. Numeric, g.
Brown_biomass: brown or dead plant biomass. Numeric, g.
Biomass_cut: plant biomass cut during defoliation treatments. Numeric, g.
CO2_flux_light: net CO2 flux under ambient light. Numeric, mg CO2 m-2 h-1.
CO2_flux_dark: ecosystem respiration. Numeric, mg CO2 m-2 h-1.
S: organic matter stabilisation factor (tea bag index). Numeric, unitless.
k: organic matter decomposition rate (tea bag index). Numeric, unitless.
DOC: dissolved organic carbon, mg Kg-1 dry soil.
IC: inorganic carbon, mg Kg-1 dry soil.
Ammonium_KCl:  plant available ammonium, mg Kg-1 dry soil.
Nitrate_KCl:  plant available nitrate, mg Kg-1 dry soil.
Phosphate: phosphate, mg Kg-1 dry soil.
MBC: microbial biomass carbon,  mg Kg-1 dry soil.
MBN: microbial biomass nitrogen,  mg Kg-1 dry soil.
PHO: phosphatase activity, nmol h-1 g-1 dry soil.
BG: β-glucosidase, nmol h-1 g-1 dry soil.
XYL: xylosidase, nmol h-1 g-1 dry soil.
CBH: cellobiohydrolase, nmol h-1 g-1 dry soil.
NAG: N-acetylglucosaminidase, nmol h-1 g-1 dry soil.
LAP: leucine aminopeptidase, nmol h-1 g-1 dry soil.
POX: phenoloxidase, nmol h-1 g-1 dry soil.
PER: peroxidase, nmol h-1 g-1 dry soil.
pH: soil pH, unitless
Water_stable_aggregates: water stable aggregates, %
Surface_infiltration_time: water surface infiltration time, s.

en: Escalating effects of multiple perturbations on soil functionality

en: soil-nutrients drought pesticide land-use heatwave soil-biodiversity soil

drought

display_name: drought

heatwave

display_name: heatwave

land-use

display_name: land-use

pesticide

display_name: pesticide

soil

display_name: soil

soil-biodiversity

display_name: soil-biodiversity

soil-nutrients

display_name: soil-nutrients