Navigation auf uzh.ch
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