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URPP Global Change and Biodiversity

Datasets and Code

Datasets and code associated with URPP Global Change and Biodiversity Publications 

2024

Brantschen, J., Fopp, F., Adde, A., Keck, F., Guisan, A., Pellissier, L., & Altermatt, F. (2024). Data from: Habitat suitability mod- els reveal the spatial signal of environmental DNA in riverine networks. (https://doi.org/10.5061/ dryad.gb5mkkwzf.) [Dataset]. Dryad Digital Repository.

Knüsel, M., Alther, R., & Altermatt, F. (2024). Data for: Pronounced changes of subterranean biodiversity patterns along a Late Pleistocene glaciation gradient (Ecography, 2024) [Data set]. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.11146336

Reader, O. (2024). variouswords/ES-Bundles: ES Bundles data and code (Version ES-Bundles) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.10492768

Ross, S. R.-J., Petchey, O., Sasaki, T., & Armitage, D. W. (2024). Code and data from: How to measure response diversity (Version v1.2-published) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7018707

Rossi, C., McMillan, N., & Hauser, L. (2024). Parcel level temporal variance of remotely sensed spectral reflectance predicts plant diversity (Version 6, p. 507767 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.FXPNVX100

Sato, Y., Shimizu-Inatsugi, R., Takeda, K., Schmid, B., Nagano, A. J., & Shimizu, K. K. (2024). AraHerbNeighborGen: Arabidopsis herbivory data with the analysis of neighbor genotypic effects (Version v1.1.2) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.7945317

Van de Schoot, E., Merckx, T., Ebert, D., Wesselingh, R. A., Altermatt, F., & Van Dyck, H. (2024). Supplementary material from ‘Evolutionary change in flight-to-light response in urban moths comes with changes in wing morphology’ [Dataset]. The Royal Society. https://doi.org/10.6084/M9.FIGSHARE.C.7090148.V1

2023

Albouy, C., & David, E. (2023). eDNA complements scientific trawling in surveys of marine fish biodiversity components. (p. 12781 Bytes) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.22592932.V1

Blackman, R. C., Walser, J., Brantschen, J., Brodersen, J., Rueber, L., Seehausen, O., Villalba, S., & Altermatt, F. (2023). General principles for assignments of communities from eDNA: Open versus closed taxonomic databases (Version 5, p. 409195932 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.1G1JWSV15

Brantschen, J., Walser, J., Pellissier, L., & Altermatt, F. (2023). Data from: Evaluation of primer pairs for eDNA‐based assessment of Ephemeroptera, Plecoptera, and Trichoptera across a biogeographically diverse region (Version 7, p. 11439737241 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.JSXKSN0CQ

Carraro, L. (2023). lucarraro/SpatialFoodWeb: Published (Version v1.1) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7962082

Cereghetti, E., & Altermatt, F. (2023). Spatiotemporal dynamics in freshwater amphipod assemblages are associated with surrounding terrestrial land use type—Dataset [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.7620983

Criado, M. G. (2023). marianagarciacriado/TraitsWinnersLosers: Third release of TraitsWinnersLosers (Version v3.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7974602

D’Odorico, P., Schuman, M., Kurz, M., & Csilléry, K. (2023). Oriental and European beech spectral, traits and genetics data (Version 1.0) [..Xlsx,.xlsx,.xlsx,.xlsx]. EnviDat. https://doi.org/10.16904/ENVIDAT.390

Fronhofer, E. A. (2023). efronhofer/TetGrowthCurve: Growth curve data (Version v1) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7702324

Heim, R. J., Iturrate-Garcia, M., Reiji Chacko, M., Karsanaev, S., Maximov, T. C., Heijmans, M. M. P. D., & Schaepman-Strub, G. (2023). Dataset to the manuscript ‘Deciduous tundra shrubs shift toward more acquisitive light absorption strategy under climate change treatments’ [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.7615321

Heim, R. J., Iturrate-Garcia, M., Reji Chacko, M., Karsanaev, S., Maximov, T. C., Heijmans, M. M. P. D., & Schaepman-Strub, G. (2023). R scripts to the manuscript ‘Deciduous tundra shrubs shift toward more acquisitive light absorption strategy under climate change treatments’ [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7615735

Ho, H.-C. (2023). Data and R script (Associating the structure of Lepidoptera-plant interaction networks across clades and life stages to environmental gradients) (p. 3836468 Bytes) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.24557725.V1

Joswig, J. (2023). Imputing missing data in plant traits: A guide to improve gap-filling (data) [Dataset]. Max Planck Institute for Biogeochmemistry, Jena. https://doi.org/10.17871/TRY.96

Lang, J., Ramos, S. E., Smohunova, M., Bigler, L., & Schuman, M. C. (2023). Metabolomics Peak Tables of the publication ‘Screening of leaf extraction and storage conditions for eco-metabolomics studies’ [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.10219180

Luo, S., Phillips, R. P., Jo, I., Fei, S., Liang, J., Schmid, B., & Eisenhauer, N. (2023). Higher productivity in forests with mixed mycorrhizal strategies (p. 11231288 Bytes) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.22060238

Oehri, J., Schaepman-Strub, G., Kim, J.-S., Grysko, R., Kropp, H., Grünberg, I., Zemlianskii, V., Sonnentag, O., Euskirchen, E. S., Reji Chacko, M., Muscari, G., Blanken, P. D., Dean, J. F., di Sarra, A., Harding, R. J., Sobota, I., Kutzbach, L., Plekhanova, E., Riihelä, A., … Chambers, S. D. (2022a). Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites (p. 4 datasets) [Application/zip]. PANGAEA. https://doi.org/10.1594/PANGAEA.949792

Oehri, J., Schaepman-Strub, G., Kim, J.-S., Grysko, R., Kropp, H., Grünberg, I., Zemlianskii, V., Sonnentag, O., Euskirchen, E. S., Reji Chacko, M., Muscari, G., Blanken, P. D., Dean, J. F., di Sarra, A., Harding, R. J., Sobota, I., Kutzbach, L., Plekhanova, E., Riihelä, A., … Chambers, S. D. (2022b). Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites—Environmental conditions (p. 4705 data points) [Text/tab-separated-values]. PANGAEA. https://doi.org/10.1594/PANGAEA.949789

Perez, F. P., Liu, H., Gawecka, K. A., & Bascompte, J. (2023). The role of indirect effects in coevolution along the mutualism-antagonism continuum: Data and code [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.8131615

Pernthaler, J., Krempaska, N., & Le Moigne, A. (2023). Small-scale spatial beta diversity of bacteria in the mixed upper layer of a lake [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.C.6637772.V1

Petchey, O. L., Daugaard, U., Gupta, A., Krug, R. M., Lemmen, K. D., van Moorsel, S. J., Suleiman, M., Zuppinger-Dingley, D., & Limberger, R. (2023). Code package for: ‘Functional diversity can facilitate the collapse of an undesirable ecosystem state’ (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7744094

Petchey, O. L., Krug, R. M., Daugaard, U., & Limberger, R. (2023). Data package for paper ‘Functional diversity can facilitate the collapse of an undesirable ecosystem state’ (Version 1.0.0) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.7743866

Premate, E., Borko, Š., Altermatt, F., & Fišer, C. (2023). Context-dependent evolution of high trophic position drives functional disparity in subterranean crustaceans: Data and R code [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.8146469

Reinecke, R., Mammola, S., & Sacco, M. (2023). Groundwater is a globally-threatened keystone ecosystem (Version 1.0) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.7924816

Sato, Y., Takahashi, Y., Xu, C., & Shimizu, K. K. (2023). Detecting frequency-dependent selection through the effects of genotype similarity on fitness components (Version 4, p. 1601706 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.ZS7H44JDV

Schneider, F. D., Longo, M., Paul-Limoges, E., Scholl, V. M., Schmid, B., Morsdorf, F., Pavlick, R. P., Schimel, D. S., Schaepman, M. E., & Moorcroft, P. R. (2023). Data by Schneider et al. (2023) Remote sensing-based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale (p. 4870137 Bytes) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.22705024.V1

Tang, T., Zhang, N., Bongers, F., Staab, M., Schuldt, A., Fornoff, F., Lin, H., Cavender-Bares, J., Hipp, A., Li, S., Liang, Y., Han, B., Klein, A.-M., Bruelheide, H., Durka, W., Schmid, B., Ma, K., & Liu, X. (2023). Data from: Tree species and genetic diversity increase productivity via functional diversity and trophic feedbacks (Version 10, p. 367828 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.GF1VHHMQX

Veryard, R., Hector, A., Wu, J., O’Brien, M., Anthony, R., Both, S., Burslem, D., Chen, B., Fernandez-Miranda Cagigal, E., Godfray, H. C., Godoong, E., Liang, S., Saner, P., Schmid, B., Wai, Y. S., Xie, J., & Reynolds, G. (2023). RapidEye and Landsat remote sensing measures for Sabah Biodiversity Experiment plots (Version 4, p. 268528 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.8W9GHX3RS

Walker, T. (2023a). Data from: Leaf metabolic traits reveal hidden dimensions of plant form and function (Version 5, p. 372532835 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.ZPC866TDN

Walker, T. (2023b). Data: Metabolic traits [Dataset]. Open Science Framework. https://doi.org/10.17605/OSF.IO/YZR4C

Xu, C., Sato, Y., Yamazaki, M., Brasser, M., Barbour, M. A., Bascompte, J., & Shimizu, K. K. (2023). Supplementary material from ‘Genome-wide association study of aphid abundance highlights a locus affecting plant growth and flowering in Arabidopsis thaliana. The Royal Society. https://doi.org/10.6084/M9.FIGSHARE.C.6777958

Zemlianskii, V., Ermokhina, K., Schaepman-Strub, G., Matveyeva, N., Troeva, E., Lavrinenko, I., Telyatnikov, M., Pospelov, I., Koroleva, N., Leonova, N., Khitun, O., Walker, D., Breen, A., Kadetov, N., Lavrinenko, O., Ivleva, T., Kholod, S., Petrzhik, N., Gunin, Y., … Plekhanova, E. (2023). Russian Arctic Vegetation Archive – a new database of plant community composition and environmental conditions (Version 12, p. 6298706 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.5TB2RBP8D

Zemlianskii, V., & Plekhanova, E. (2023). Pan Arctic Species List (PASL) matching script (Version 3, p. 3524930 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.PRR4XGXR1

Zosso, C. U., Ofiti, N. O. E., Torn, M. S., Wiesenberg, G. L. B., & Schmidt, M. W. I. (2023). Benzene polycarboxylic acids, lignin and hydrolysable lipids data from the whole-soil warming experiment at Blodgett Forest, CA, 2018, from: ‘Rapid loss of complex polymers and pyrogenic carbon in subsoils under whole soil warming’ [Dataset]. Environmental System Science Data Infrastructure for a Virtual Ecosystem; Belowground Biogeochemistry Scientific Focus Area. https://doi.org/10.15485/1915661

Zu, P., García‐García, R., Schuman, M. C., Saavedra, S., & Melián, C. J. (2023). Plant–insect chemical communication in ecological communities: An information theory perspective [Dataset]. https://doi.org/10.1111/jse.1284

2022

Alther, R., Krähenbühl, A., Bucher, P., & Altermatt, F. (2022). Optimizing laboratory cultures of Gammarus fossarum (Crustacea: Amphipoda) as a study organism in environmental sciences and ecotoxicology (Version Version 1.2 (2022-09-19)) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.7069017

Barbour, M. A. (2022). mabarbour/genes-to-foodweb-stability: Keystone Gene (Version v3.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.5901259

Borko, Š., Altermatt, F., Zagmajster, M., & Fišer, C. (2022). A hotspot of groundwater amphipod diversity on a crossroad of evolutionary radiations (Version 8, p. 4299895 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.W0VT4B8SM

Carraro, L. (2022). lucarraro/metaecosystem_RCC: Meta-Ecosystem RCC (Version v1.1) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7018337

Chen, Y., Vogel, A., Wagg, C., Xu, T., Iturrate-Garcia, M., Scherer-Lorenzen, M., Weigelt, A., Eisenhauer, N., & Schmid, B. (2022a). Code from: Drought-exposure history increases complementarity between plant species in response to a subsequent drought (p. 55447 Bytes) [Computer software]. figshare. https://doi.org/10.6084/M9.FIGSHARE.14511060.V1

Chen, Y., Vogel, A., Wagg, C., Xu, T., Iturrate-Garcia, M., Scherer-Lorenzen, M., Weigelt, A., Eisenhauer, N., & Schmid, B. (2022b). Data from: Drought-exposure history increases complementarity between plant species in response to a subsequent drought (p. 377604 Bytes) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.14511108.V1

Cote, J., Dahirel, M., Schtickzelle, N., Altermatt, F., Ansart, A., Blanchet, S., Chaine, A. S., De Laender, F., De Raedt, J., Haegeman, B., Jacob, S., Kaltz, O., Laurent, E., Little, C. J., Madec, L., Manzi, F., Masier, S., Pellerin, F., Pennekamp, F., … Legrand, D. (2022). Data and script for ‘Dispersal syndromes in challenging environments: A cross-species experiment’ [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.7107088

Gawecka, K., Pedraza, F., & Bascompte, J. (2022). Effects of habitat destruction on coevolving metacommunities (Version v1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7081444

Govaert, L., Pantel, J. H., & De Meester, L. (2022a). Quantifying eco-evolutionary contributions to trait divergence in spatially structured systems (Version 4, p. 86747 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.0VT4B8GZ8

Govaert, L., Pantel, J. H., & De Meester, L. (2022b). Quantifying eco-evolutionary contributions to trait divergence in spatially structured systems [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.4600596

Graf, L. V. (2022). remote-sensing-team/s2toarup: Propagating the Sentinel-2 Top-of-Atmosphere Radiometric Uncertainty into Land Surface Phenology Metrics Using a Monte Carlo Framework (Version v1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.6669854

Gupta Anubhav. (2022). How many predator guts are required to predict trophic interactions? [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7071190

Haverkamp, P. (2022). SiberianCrane_FrontiersInConservationScience [Dataset]. Open Science Framework. https://doi.org/10.17605/OSF.IO/B7328

Ho, H.-C. (2022). Data and R script (Blue and green food webs respond differently to elevation and land use) (p. 2063439 Bytes) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.17817152.V1

Huang, Y., Schuldt, A., Hönig, L., Yang, B., Liu, X., Brülheide, H., Ma, K., Schmid, B., & Niklaus, P. (2022). Enemy exclusion effects on biodiversity-productivity relationship in subtropical forest experiment (Version 5, p. 204452 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.3R2280GJP

Jacquet, C., Carraro, L., & Altermatt, F. (2022). lucarraro/metaecosystem_RCC: Meta-Ecosystem RCC (Version v1.1) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7018337

Kim, J.-S. (2022). Data for ‘Arctic warming-induced cold damage to East Asian terrestrial ecosystems’ (p. 28933860 Bytes) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.16807012

Laliberté, E. (2022). elaliberte/specdiv: Specdiv first release (Version v.1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.6385476

Le Moigne, A., Randegger, F., Gupta, A., Petchey, O., & Pernthaler, J. (2022). Stochasticity causes high beta-diversity and functional divergence of bacterial assemblages in closed systems. figshare. https://doi.org/10.6084/M9.FIGSHARE.C.5483271

Luo, S., Bardgett, R. D., Schmid, B., Johnson, D., Png, K., Schaffner, U., Zhou, H., Yao, B., Hou, X., & Ostle, N. J. (2022). Historical context modifies plant diversity–community productivity relationships in alpine grassland (Version 2, p. 65798 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.DV41NS21K

Plekhanova, E. (2022). Supporting data: Mid-summer snow-free albedo across the Arctic tundra was mostly stable or increased over the past two decades [Dataset]. Mendeley. https://doi.org/10.17632/ZVBB75HND7.1

Reader, O. (2022a). variouswords/Decoupling-Deltas: Decoupling-Deltas (Version v1.0) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.6346472

Reader, O. (2022b). variouswords/Decoupling-Deltas: Decoupling-Deltas (Version v1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.6346472

Reji Chacko, M., Oehri, J., Plekhanova, E., & Schaepman-Strub, G. (2022). Data from: Will Current Protected Areas Harbour Refugia for Threatened Arctic Vegetation Types until 2050? A First Assessment [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.6902764

Schnyder, E., Bodelier, P. L. E., Hartmann, M., Henneberger, R., & Niklaus, P. A. (2022). Experimental erosion of microbial diversity decreases soil CH4 consumption rates [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.7520706

Schweiger, A. K. (2022). annakat/wood_stakes: R code and data for Risch et al. 2022 Frontiers (Version v.1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.6355363

Schweiger, A. K. (2022a). NEON_crown_area (Version 1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.6383923

Schweiger, A. K. (2022b). annakat/speciesID: PLSDA - Plant identification from spectra (Version v1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.6806656

Van Moorsel, S.J. (2022). Data to: The importance of ecotype diversity on duckweed growth with and without salt stress (Version v1) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.6371962

van Moorsel, S. J. & Lanthemann, L. (2022). Species interactions in three Lemnaceae species growing along a gradient of zinc pollution (Version 4, p. 267009 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.H9W0VT4KJ

Van Moorsel, S.J. (2022). Data to: The importance of ecotype diversity on duckweed growth with and without salt stress (Version v1) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.6371962

van Moorsel, S. J. & Lanthemann, L. (2022). Species interactions in three Lemnaceae species growing along a gradient of zinc pollution (Version 4, p. 267009 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.H9W0VT4KJ

Wieczynski, D., Diaz, S., Duran, S., Fyllas, N., Salinas, N., Martin, R., Shenkin, A., Silman, M., Asner, G., Bentley, L., Malhi, Y., Enquist, B., & Savage, V. (2022). Improving landscape-scale productivity estimates by integrating trait-based models and remotely-sensed foliar-trait and canopy-structural data (Version 4, p. 1424830742 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.S7H44J18N

<Wuest, S. E., Schulz, L., Rana, S., Frommelt, J., Ehmig, M., Pires, N. D., Grossniklaus, U., Hardtke, C. S., Hammes, U., Schmid, B., & Niklaus, P. A. (2022). Data for: Single-gene resolution of diversity-driven overyielding in plant genotype mixtures [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.7896146

2021

Barbour, M.A. (2021). mabarbour/foodweb-theory: Box 3 and Fig. 3 in ‘Genetic and plastic rewiring of food webs under climate change’ (Version v1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.4774839

Giavi, S., Fontaine, C., & Knop, E. (2021). Impact of artificial light at night on diurnal plant-pollinator interactions: Deposited data [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.4540407

Govaert, L., Altermatt, F., & Gilarranz, L. (2021). Competition alters species’ plastic and genetic response to environmental change (Version 5, p. 5577169 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.T4B8GTJ28

Gupta, Anubhav. (2021a). anubhav3/C1_ADBM_2008_fitting: Point parameterisation of ADBM (Version ADBM_fitting) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.5735584

Gupta, Anubhav. (2021b). anubhav3/C1_data: Food web data (Version foodweb_data) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.5735592

Gupta, Anubhav. (2021c). anubhav3/C1_method_v2: ABC parameterisation of ADBM (Version ADBM_ABC) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.5735594

Holenstein, K., Harvey, E., & Altermatt, F. (2021). Patch size distribution affects species invasion dynamics in dendritic networks (Version 5, p. 146826 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.H9W0VT4JR

Hong, P. (2021). Biodiversity promotes ecosystem functioning despite environmental change (p. 45502 Bytes) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.16947451.V1

Hu, W., Ran, J., Dong, L., Du, Q., Ji, M., Yao, S., Sun, Y., Gong, C., Hou, Q., Gong, H., Chen, R., Lu, J., Xie, S., Wang, Z., Huang, H., Li, X., Xiong, J., Xia, R., Wei, M., … Deng, J. (2021). Dataset and R code from ‘Aridity-driven shift in biodiversity–soil multifunctionality relationships’ (p. 67237 Bytes) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.15027561

Keck, F., Blackman, R., Bossart, R., Brantschen, J., Couton, M., Hürlemann, S., Kirschner, D., Locher, N., Zhang, H., & Altermatt, F. (2021). Code and data for the manuscript ‘Meta-analysis shows both congruence and complementarity of DNA metabarcoding to traditional methods for biological community assessment’ (Version 1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.5837361

Kim, J.-S. (2021). Code for ‘Arctic warming-induced cold damage to East Asian terrestrial ecosystems’ (p. 2547 Bytes) [Computer software]. figshare. https://doi.org/10.6084/M9.FIGSHARE.16807018.V1

Krug, R. M., & Petchey, O. (2021). Exp-Micro-Ecol-Hub/emeScheme: Version v.1.1.7 (Version v1.1.7) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.4529180

Pedraza, F. (2021). The joint role of coevolutionary selection and network structure in shaping trait matching in mutualisms [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.5115538

Suleiman, M., Pennekamp, F., Choffat, Y., Krug, R., & Petchey, O. L. (2021). Marcel2907/oxic-anoxic: Code for Contrasting resistance and resilience of the coupled oxic and anoxic components of an experimental microbial ecosystem (Version 1) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.5195092

Tabi, A. (2021). MITEcology/NEE_Tabi_et_al_2020 [R]. https://github.com/MITEcology/NEE_Tabi_et_al_2020 (Original work published 2020)

Van Moorsel, S., Marleau, J., Gonzalez, A., Petchey, O., Bazerghi, C., & Negrin Dastis, J. (2021). Data to Prior exposure to stress allows the maintenance of an ecosystem cycle following severe acidification (Version 2, p. 9765830 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.6WWPZGMX9

Wang, H., Liu, H., Huang, N., Bi, J., Ma, X., Ma, Z., Shangguan, Z., Zhao, H., Feng, Q., Liang, T., Cao, G., Schmid, B., & He, J.-S. (2021). Satellite-derived NDVI underestimates the advancement of alpine vegetation growth over the past three decades (p. 41370 Bytes) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.14532027

2020

Barbour, M.A. (2020). mabarbour/genes-to-foodweb-stability: bioRxiv (Version v1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.3904601

Barry, K., Van Ruijven, J., Mommer, L., Bai, Y., Beierkuhnlein, C., Buchmann, N., De Kroon, H., Ebeling, A., Eisenhauer, N., Guimaraes-Steinicke, C., Hildebrandt, A., Isbell, F., Milcu, A., Neßhöver, C., Reich, P., Roscher, C., Sauheitl, L., Scherer-Lorenzen, M., Schmid, B., … Weigelt, A. (2020). Data from: Limited evidence for spatial resource partitioning across temperate grassland biodiversity experiments [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.7C01654

Cairns, J., Moerman, F., Fronhofer, E., Altermatt, F., & Hiltunen, T. (2020). Evolution in interacting species alters predator life history traits, behavior and morphology in experimental microbial communities [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.08KPRR4ZR

Carraro, L. (2020). lucarraro/eDITH-thur: eDITH-thur (Version v1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.3903330

Carraro, L., & Furrer, R. (2020). Lucarraro/OCNet v0.2 (Version v0.2) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.3669873

Chen, Y., Huang, Y., Niklaus, P. A., Castro-Izaguirre, N., Clark, A. T., Bruelheide, H., Keping Ma, & Schmid, B. (2020a). Code from: Directed Species Loss Reduces Community Productivity in a Subtropical Forest Biodiversity Experiment. [Computer software]. figshare. https://doi.org/10.6084/M9.FIGSHARE.9194555

Chen, Y., Huang, Y., Niklaus, P. A., Castro-Izaguirre, N., Clark, A. T., Bruelheide, H., Keping Ma, & Schmid, B. (2020b). Data from: Directed Species Loss Reduces Community Productivity in a Subtropical Forest Biodiversity Experiment [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.9192629.V2

Czyz, E. A. (2020). Intraspecific genetic variation and spectral data of a Fagus sylvatica population in a temperate forest [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.HQBZKH1CM

Iturrate-Garcia, M., & Schaepman-Strub, G. (2020). Data from: Plant trait response of tundra shrubs to permafrost and nutrient addition [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.JH9W0VT8V

Jacquet, C. (2020). Data from: The ghost of disturbance past: long-term effects of pulse disturbances on community biomass and composition [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.ZKH189378

Jacquet, C., Gounand, I., & Altermatt, F. (2020). How pulse disturbances shape size-abundance pyramids [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.95X69P8G7

Kropp, H., Loranty, M., Sannel, B., O’Donnell, J., Blanc-Betes, E., Cahoon, S., Mamet, S., Blok, D., Tape, K., Mauritz, M., Williams, M., Boike, J., Grunberg, I., Lafleur, P., Euskirchen, E., Sonnentag, O., Hjort, J., Jorgenson, M. T., Myers-Smith, I., … Yongwon, K. (2020). Synthesis of soil-air temperature and vegetation measurements in the pan-Arctic. 1990-2016 [Dataset]. NSF Arctic Data Center. https://doi.org/10.18739/A2736M31X

Li, Y., Li, Y., Reich, P., Schmid, B., Shrestha, N., Feng, X., Lyv, T., Maitner, B., Xu, X., Li, Y., Zou, D., Tan, Z.-H., Su, X., Tang, Z., Guo, Q., Feng, X., Enquist, B., & Wang, Z. (2020). Leaf size of woody dicots predicts ecosystem primary productivity [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.KWH70RZ0Q

Luo, S., Schmid, B., Wagg, C., Chen, Y., Jiang, B., Liang, M., Liu, X., & Yu, S. (2020). Community-wide trait means and variations affect biomass in a biodiversity experiment with tree seedlings [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.1JWSTQJR5

Schmid, M. W., von Moorsel, S., Hahl, T., De Luca, E., Wagg, C., Niklaus, P., & Schmid, B. (2020). Effects of plant diversity and community age on soil microbial communities [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.4596692

Schweiger, A. K., Cavender-Bares, J., Lapadat, C., & Kothari, S. (2020). Leaf carbon fraction data from tree and grassland species collected at the Cedar Creek Ecosystem Science Reserve in 2015 and 2016 [Dataset]. Data Repository for the University of Minnesota (DRUM). https://doi.org/10.13020/D74J-WD55

Schweiger, A. K., Fredericksen, B., Lapadat, C., & Cavender-Bares, J. (2020). Content of leaf pigments of tree and grassland species collected at the Cedar Creek Ecosystem Science Reserve in 2015 and 2016 [Dataset]. Data Repository for the University of Minnesota (DRUM). https://doi.org/10.13020/J7FW-2G91

Schweiger, A. K., Lapadat, C., & Cavender-Bares, J. (2020). Leaf carbon and nitrogen content of tree and grassland species collected at the Cedar Creek Ecosystem Science Reserve in 2015 and 2016 [Dataset]. Data Repository for the University of Minnesota (DRUM). https://doi.org/10.13020/0476-9M60

Schweiger, A. K., Lapadat, C., Kothari, S., & Cavender-Bares, J. (2020). Leaf carbon fraction data from tree and grassland species collected at the Cedar Creek Ecosystem Science Reserve in 2015 and 2016 [Dataset]. Data Repository for the University of Minnesota (DRUM). https://doi.org/10.13020/D74J-WD55

Sturm, J. T. (2022). Satellite data reveal differential responses of Swiss forests to unprecedented 2018 drought (Version 9, p. 1746798 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.BK3J9KDD8

Suleiman, M. (2022). Marcel2907/multiple-stressor: (Version v1) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.5948600

van Moorsel, S. J., Hahl, T., Petchey, O. L., Ebeling, A., Eisenhauer, N., Schmid, B., & Wagg, C. (2020). Plant biomass determination and stability metrics calculations analysed during the Jena Expermint from 2012 to 2015 (p. 2 datasets) [Application/zip]. PANGAEA. https://doi.org/10.1594/PANGAEA.923220

Wang, Y., Niu, X., Zhao, L., Liang, C., Miao, B., Zhang, Q., Zhang, J., Schmid, B., & Ma, W. (2020). Data from: Biotic stability mechanisms in Inner Mongolian grassland [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.HT76HDRC5

2019

Billing, M., Thonicke, K., von Bloh, W., & Sakschewski, B. (2019). LPJmL-FIT in Europe [Dataset]. GFZ Data Services. https://doi.org/10.5880/PIK.2019.022

Braun, D., de Jong, R., Schaepman, M. E., Furrer, R., Hein, L., Kienast, F., & Damm, A. (2019). Ecosystem service change caused by climatological and non‐climatological drivers: A Swiss case study [Dataset]. Ecological Society of America. https://doi.org/10.5167/UZH-170517

Daugaard, U. (2019). Warming can destabilise predator-prey interactions by shifting the functional response from Type III to Type II (Version v1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.2864317

Harvey, E. (2019). harveye/rivnet: First release for rivnet project (Version v1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.2533394

Little, C. J., Fronhofer, E. A., & Altermatt, F. (2019). Data from: Dispersal syndromes can impact ecosystem functioning in spatially structured freshwater populations (Version 1, p. 60581 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.8B9J040

Longo, M., Knox, R., Medvigy, D. M., Levine, N. M., Dietze, M., Swann, A. L. S., Zhang, K., Rollinson, C., Di Porcia E Brugnera, M., Scott, D., Serbin, S. P., Kooper, R., Pourmokhtarian, A., Shiklomanov, A., Viskari, T., & Moorcroft, P. (2019). Ecosystem Demography Model, version 2.2 (ED-2.2) (Version rev-86) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.3365659

O’Brien, M. J., Philipson, C. D., Reynolds, G., Dzulkifli, D., Snaddon, J. L., Ong, R., & Hector, A. (2019). Data from: Positive effects of liana cutting on seedlings are reduced during El Niño-induced drought (Version 1, p. 2615850 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.2SQ2D9M

Oehri, J., Schmid, B., Schaepman-Strub, G., & Niklaus, P. A. (2019). Terrestrial land-cover type richness is positively linked to landscape-level functioning [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.GB5MKKWKJ

Rossi, C. (2019). Beta Functional diversity in R [Dataset]. Mendeley. https://doi.org/10.17632/4XJCD6DVZG.4

Wagg, C., Hahl, T., Van Moorsel, S., Schmid, M., Zuppinger-Dingley, D., & Schmid, B. (2019). Plant responses to diversity-driven selection and associated rhizosphere microbial communities [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.JSXKSN05K

Wuest, S. E., Pires, N. D., Luo, S., Vasseur, F., Messier, J., Grossniklaus, U., & Niklaus, P. A. (2019). Data for: Increasing plant group productivity through latent genetic variation for cooperation [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.6983283

2018

Gonzalez, D. B., & Abiven, S. (2018). Database Manuscript Temperature and moisture are minor drivers of regional-scale soil organic carbon dynamics—Gonzalez Dominguez et al [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.2526673

Little, C. J., & Altermatt, F. (2018). Data from: Do priority effects outweigh environmental filtering in a guild of dominant freshwater macroinvertebrates? (Version 1, p. 118441 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.75JQ1

Liu, X., Trogisch, S., He, J.-S., Niklaus, P. A., Bruelheide, H., Tang, Z., Erfmeier, A., Scherer-Lorenzen, M., Pietsch, K. A., Yang, B., Kühn, P., Scholten, T., Huang, Y., Wang, C., Staab, M., Leppert, K. N., Wirth, C., Schmid, B., & Ma, K. (2018). Data from: Tree species richness increases ecosystem carbon storage in subtropical forests (Version 1, p. 41262 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.T9T0SC4

Myers-Smith, I. H. (2018). ShrubHub/QikiqtarukHub: QikiqtarukHub_v1.0 (Version v1.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.2397996

Schmid, M. W., Hahl, T., van Moorsel, S. J., Wagg, C., De Deyn, G., & Schmid, B. (2018). Data From: Rhizosphere Bacterial Community Composition Depends On Plant Species Identity And Soil Legacy Effects [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.1309178

van Moorsel, S. J., Schmid, M. W., Wagemakes, N. C., van Gurp, T., Schmid, B., & Vergeer, P. (2018). Data from: Evidence for rapid evolution in a grassland biodiversity experiment [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.1167563

2017

2016

Altermatt, F., Alther, R., & Mächler, E. (2016). MOESM1 of Spatial patterns of genetic diversity, community composition and occurrence of native and non-native amphipods in naturally replicated tributary streams (p. 57066 Bytes) [Dataset]. Figshare. https://doi.org/10.6084/M9.FIGSHARE.C.3626972_D1.V1

Schweiger, A. K.(2016). Leaf spectra Cedar Creek Biodiversity Experiment [Dataset]. EcoSIS. https://doi.org/10.21232/HCTQMGDO

2015

Schweiger, A.K. (2015). Leaf spectra Forest and Biodiversity Experiment Cedar Creek LTER [Dataset]. EcoSIS. https://doi.org/10.21232/GMPYDOYN

Schweiger, A. K. (2015b). Species mean leaf level spectra from the Cedar Creek biodiversity experiment [Dataset]. EcoSIS. https://doi.org/10.21232/TYBMUCPP

Zuppinger-Dingley, D., Schmid, B., Petermann, J. S., Yadav, V., De Deyn, G. B., & Flynn, D. F. B. (2015). Data from: Selection for niche differentiation in mixed plant communities increases biodiversity effects (Version 1, p. 378965 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.750DF

2014

Pottier, J., Malenovský, Z., Psomas, A., Homolová, L., Schaepman, M. E., Choler, P., Thuiller, W., Guisan, A., & Zimmermann, N. E. (2014). Data from: Modelling plant species distribution in alpine grasslands using airborne imaging spectroscopy (Version 1, p. 228762 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.N13HN

2013

Waldron, A., Mooers, A. O., Miller, D. C., Nibbelink, N., Redding, D., Kuhn, T. S., Roberts, J. T., & Gittleman, J. L. (2013). Data from: Targeting global conservation funding to limit immediate biodiversity declines (Version 1, p. 122752 bytes) [Dataset]. Dryad. https://doi.org/10.5061/DRYAD.P69T1