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1. Compilation of detrital 10Be erosion rate data, San Gabriel Mountains, CA, USA

   https://doi.org/10.26022/IEDA/112928  

   DiBiase, Roman A; Neely, Alexander B; Whipple, Kelin X; Heimsath, Arjun M; Niemi, Nathan A (May 2023, Interdisciplinary Earth Data Alliance (IEDA))

   This dataset of detrital cosmogenic 10Be erosion rates from stream sands includes new and previously published measurements, compiled as part of DiBiase et al. (2023). Sample location information has been updated from original publications using field notes, pictures, and new lidar topography to align with correct stream network position. All erosion rates have been recalculated using updated in situ 10Be production rate estimates in quartz, as described in DiBiase et al. (2023). In addition to 10Be data, this dataset also includes catchment-scale topographic, climate, and landslide impact metrics, as described in DiBiase et al. (2023). 

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2. Hillslope Morphology Drives Variability of Detrital ¹⁰ Be Erosion Rates in Steep Landscapes

   https://doi.org/10.1029/2023GL104392  

   DiBiase, Roman A.; Neely, Alexander B.; Whipple, Kelin X.; Heimsath, Arjun M.; Niemi, Nathan A. (August 2023, Geophysical Research Letters)

   Abstract The connection between topography and erosion rate is central to understanding landscape evolution and sediment hazards. However, investigation of this relationship in steep landscapes has been limited due to expectations of: (a) decoupling between erosion rate and “threshold” hillslope morphology; and (b) bias in detrital cosmogenic nuclide erosion rates due to deep‐seated landslides. Here we compile 120 new and published¹⁰Be erosion rates from catchments in the San Gabriel Mountains, California, and show that hillslope morphology and erosion rate are coupled for slopes approaching 50° due to progressive exposure of bare bedrock with increasing erosion rate. We find no evidence for drainage area dependence in¹⁰Be erosion rates in catchments as small as 0.09 km², and we show that landslide deposits influence erosion rate estimates mainly by adding scatter. Our results highlight the potential and importance of sampling small catchments to better understand steep hillslope processes. 

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3. Global analysis of in situ cosmogenic ²⁶ Al/ ¹⁰ Be ratios in fluvial sediments indicates widespread sediment storage and burial during transport

   https://doi.org/10.5194/gchron-2024-22  

   Halsted, Christopher; Bierman, Paul; Codilean, Alexandru; Corbett, Lee; Caffee, Marc (August 2024, EGU, Copernicus, Geochronology)

   Abstract. Since the 1990s, analysis of cosmogenic nuclides, primarily 10Be, in quartz-bearing river sand, has allowed for quantitative determination of erosion rates at a basin scale. Paired measurements of in situ cosmogenic 26Al and 10Be in sediment are less common but offers insight into the history of riverine sediment moving down slopes and through drainage basins. Prolonged sediment burial (>105 years), a violation of assumptions underlying erosion rate calculations, is indicated by higher 26Al-based than 10Be-based erosion rates due to preferential loss of shorter-lived 26Al by decay when quartz is shielded from cosmic rays. Here, we use a global compilation of 26Al and 10Be data generated from quartz-bearing fluvial sediment samples (n = 624, including 121 new measurements) and calculate the discordance between erosion rates derived from each nuclide. We test for correlations between such discordance and topographic metrics for drainage basins, allowing us to infer the likelihood of sediment burial during transport in different geomorphic settings. We find that nearly half of samples (n = 276) exhibit discordance (> 1σ uncertainty) between erosion rates derived from 10Be and 26Al, indicating sediment histories that must include extended burial during residence on hillslopes and/or in the fluvial system after or during initial near-surface exposure. Physical basin parameters such as basin area, slope, and tectonic activity exhibit significant correlation with erosion rate discordance whereas climatic parameters have little correlation. Our analysis suggests that 26Al/10Be erosion rate discordance occurs more regularly in basins larger than 1,000 km2, particularly when such basins have low average slopes and are in tectonically quiescent terrains. Sediment sourced from smaller, steeper basins in tectonically active regions is more likely to have similar 10Be and 26Al erosion rates indicative of limited storage and limited burial during residence in the hillslope and fluvial sediment system. The data and analysis we present demonstrate that paired 26Al and 10Be analyses in detrital fluvial samples can provide a window into watershed processes, elucidating landscape behavior at different spatial scales and allowing a deeper understanding of both sediment routing systems and whether erosion rate assumptions are violated. Large lowland basins are more likely to transport detrital sediment that has experienced prolonged sediment storage and burial either on hillslopes and/or in fluvial networks; thus, erosion rates from such basins are lower limits due to nuclide decay during storage. Conversely, samples from smaller upland basins are more likely to provide reliable erosion rates. 

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4. Examining the influence of disequilibrium landscape on millennial-scale erosion rates in the San Bernardino Mountains, California, USA

   https://doi.org/10.1130/B36734.1  

   Argueta, Marina O.; Moon, Seulgi; Blisniuk, Kimberly; Brown, Nathan D.; Corbett, Lee B.; Bierman, Paul R.; Zimmerman, Susan R.H. (August 2023, Geological Society of America Bulletin)

   Temporal and spatial variations of tectonic rock uplift are generally thought to be the main controls on long-term erosion rates in various landscapes. However, rivers continuously lengthen and capture drainages in strike-slip fault systems due to ongoing motion across the fault, which can induce changes in landscape forms, drainage networks, and local erosion rates. Located along the restraining bend of the San Andreas Fault, the San Bernardino Mountains provide a suitable location for assessing the influence of topographic disequilibrium from perturbations by tectonic forcing and channel reorganization on measured erosion rates. In this study, we measured 17 new basin-averaged erosion rates using cosmogenic 10Be in river sands (hereafter, 10Be-derived erosion rates) and compiled 31 10Be-derived erosion rates from previous work. We quantify the degree of topographic disequilibrium using topographic analysis by examining hillslope and channel decoupling, the areal extent of pre-uplift surface, and drainage divide asymmetry across various landscapes. Similar to previous work, we find that erosion rates generally increase from north to south across the San Bernardino Mountains, reflecting a southward increase in tectonic activity. However, a comparison between 10Be-derived erosion rates and various topographic metrics in the southern San Bernardino Mountains suggests that the presence of transient landscape features such as relict topography and drainage-divide migration may explain local variations in 10Be-derived erosion rates. Our work shows that coupled analysis of erosion rates and topographic metrics provides tools for assessing the influence of tectonic uplift and channel reorganization on landscape evolution and 10Be-derived erosion rates in an evolving strike-slip restraining bend. 

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5. Global Bee Interaction Data

   https://doi.org/10.5281/zenodo.17715382  

   Seltmann, Katja C; Poelen, Jorrit H; Global_Biotic_Interaction_Community (January 2025, Zenodo)

   {"Abstract":["Last modified: January 09, 2025\n\nIntroductionThis dataset comprises all bee interactions indexed by Global Biotic Interactions (GloBI; Poelen et al. 2014). It is published quarterly by the Big Bee Project (Seltmann et al. 2021) to summarize all available knowledge about bee interactions from natural history collections, community science observations (i.e., iNaturalist), and the literature. Interactions include flower visitation, parasitic interactions (mite, viral), lecty, and many others.\n\nData DescriptionPlease see the integration process page to better understand how Global Biotic Interactions combines datasets from various sources. The complete interaction dataset for all species can be accessed via https://www.globalbioticinteractions.org/data.\n\nData is filtered for unique records based on the interaction description and source citation. Archives contain full data records and unique filtered records in tab-delimited format.\n\nDataset column name definitions https://api.globalbioticinteractions.org/interactionFields or https://api.globalbioticinteractions.org/interactionFields\n\nDuplicate records occur in the database because more than one provider shares information. This is most frequently occuring in museum specimen data and duplicates can be identified evaluating the institutionCode, collectionCode and catalogNumber fields. The file catalogNumber_counts.tsv groups records by these three fields for this dataset, but does not filter out duplicate records. Additionally, this dataset includes the citation information provided by the data publisher. The provided sourceCitation may not include information about the primary provider (often the natural history collection) the specimen data originates and the catalogNumber should be referenced to understand the original source of the data.\n\nIf you know of a missing dataset, or wish to share your dataset, please contact us!\n\n \n\nMetrics\n\n\n\n\nDate\n\n\nTotal bee records\n\n\n\n07-17-2020\n232,906\n\n\n01-24-2021\n257,738\n\n\n11-17-2021\n226,160\n\n\n06-01-2022\n286,818\n\n\n11-07-2022\n429,308\n\n\n01-18-2024\n842,819\n\n\n07-03-2024\n1,109,057\n\n\n01-09-2025\n1,223,768\n\n\n11-25-2025\n2,480,473\n\n\n\n\n \n\n\n\n\nDate\nAndrenidae\nApidae\nColletidae\nHalictidae\n\n\n07-17-2020\n73,463\n106,222\n20,821\n58,880\n\n\n01-24-2021\n77,824\n120,919\n21,376\n63,945\n\n\n11-17-2021\n25,535\n134,517\n10,568\n43,070\n\n\n06-01-2022\n78,016\n144,827\n20,409\n64,054\n\n\n11-07-2022\n84,172\n171,378\n30,792\n79,155\n\n\n01-18-2024\n166,473\n334,224\n63,847\n171,931\n\n\n07-03-2024\n\n\n289,400\n\n\n\n371,953\n\n\n\n83,337\n\n\n\n190,562\n\n\n\n01-09-2025\n\n\n204,565\n\n\n\n686,195\n\n\n\n70,724\n\n\n\n241,856\n\n\n\n11-25-2025\n\n\n269,191\n\n\n\n1,509,768\n\n\n\n129,763\n\n\n\n386,203\n\n\n\n\n\n \n\n\n\n\nDate\nMegachilidae\nMelittidae\nStenotritidae\n\n\n07-17-2020\n44,449\n2,511\n23\n\n\n01-24-2021\n48,856\n2,624\n18\n\n\n11-17-2021\n37,001\n995\n9\n\n\n06-01-2022\n54,516\n2,994\n18\n\n\n11-07-2022\n61,391\n2,396\n24\n\n\n01-18-2024\n100,814\n5,088\n442\n\n\n07-03-2024\n\n\n162,587\n\n\n\n4,964\n\n438\n\n\n01-09-2025\n\n\n126,113\n\n\n\n5,928\n\n441\n\n\n11-25-2025\n\n\n174,935\n\n\n\n9,764\n\n849\n\n\n\n\n \n\nIncluded files\n\n\n\nfilter_and_count_bee_families.sh - script for separating bee records into family and counting number of records for each family\n\ncitation-count.sh - script for counting citations\n\nfamily_counts.tsv - counts by family\n\nglobi-bees-filtered_file.tsv.gz - list of all bee interaction data indexed on Global Biotic Interactions from GloBI version 2025-Nov-25 produced by [filter_and_count_bee_families.sh].\n\ninteractions.tsv.gz - archive of the full Global Biotic Interaction dataset on November 25, 2025. Downloaded from https://www.globalbioticinteractions.org\n\n\n \n\nInteraction Sources\n\nBelow is a list of sources that contributed to this dataset, along with raw counts of unique interactions and links to the corresponding digital archives and reviews. These datasets are indexed and reviewed by Global Biotic Interactions (GloBI) using automated, reproducible workflows that extract species-interaction records, reconcile taxonomic names against authoritative catalogs, and summarize the findings. Each review produces a versioned digital archive to ensure long-term preservation and to document data provenance. For details, see the Methods section within each linked archive.\n\n\n\n\ncount\nsource\n\n\n276746\n\n\n\n\nhttp://iNaturalist.org is a place where you can record what you see in nature, meet other nature lovers, and learn about the natural world.\n\n\n\n\n266822\n\n\n\n\nReji Chacko, M., Albouy, C., Altermatt, F., Brändle, M., Casanelles Abella, J., Boussange, V., Campell, F., Ellis, W. N., Fopp, F., Gossner, M. M., Ho., H., Joss, A., Kipf, P., Neff, F., Petrović, A., Prié, V., Tomanović, Ž., Zimmerli, N., Pellissier, L. (2024). trophiCH v1 - a food web for Switzerland. EnviDat. https://www.doi.org/10.16904/envidat.467.\n\n\n\n\n258683\n\n\n\n\nUSGS Biodiversity Information Serving Our Nation (BISON) IPT\n\n\n\n\n180849\n\n\n\n\necdysis - a portal for live-managing arthropod occurrence data\n\n\n\n\n113301\n\n\n\n\nDigital Bee Collections Network, 2014 (and updates). Version: 2015-03-18. National Science Foundation grant DBI 0956388; PBI: Phytophagous Insects as a Model Group for Documenting Planetary Biodiversity (Insecta: Heteroptera: Miridae: Orthotylinae, Phylinae). Version: 08 Mar 2016. National Science Foundation grant DBI#0316495; Tri-Trophic Thematic Collection Network, 2014 (and updates). Version: 08 Mar 2016. http://tcn.amnh.org/. National Science Foundation grant(s) EF#1115081, EF#1115103, EF#1115080, EF#1115144, EF#1115191, EF#1115104, EF#1115115\n\n\n\n\n112006\n\n\n\n\nUniversity of Kansas Natural History Museum - Snow Entomological Museum Collection\n\n\n\n\n79134\n\n\n\n\nSymbiota Collections of Arthropods Network (SCAN)\n\n\n\n\n62736\n\n\n\n\nFrost Entomological Museum, Pennsylvania State University\n\n\n\n\n49513\n\n\n\n\nLanuza et al. (2025), EuPPollNet: A European Database of Plant-Pollinator Networks. Global Ecol Biogeogr, 34: e70000. https://doi.org/10.1111/geb.70000\n\n\n\n\n41298\n\n\n\n\nBalfour, N.J., Castellanos, M.C., Goulson, D., Philippides, A. and Johnson, C., 2022. DoPI: The Database of Pollinator Interactions. Ecology, 103, e3801.\n\n\n\n\n28517\n\n\n\n\nPaDIL Bee records from the Pests and Diseases Image Library, http://www.padil.gov.au.\n\n\n\n\n27114\n\n\n\n\nGuzman, Laura Melissa; Kelly, Tyler; Elle, Elizabeth, 2022, "A dataset for pollinator diversity and their interactions with plants in the Pacific NorthWest", https://doi.org/10.5683/SP3/WTEZNH, Borealis, V1\n\n\n\n\n24564\n\n\n\n\nUniversity of Michigan Museum of Zoology Insect Division. Full Database Export 2020-11-20 provided by Erika Tucker and Barry Oconner.\n\n\n\n\n23727\n\n\n\n\nCarril OM, Griswold T, Haefner J, Wilson JS. (2018) Wild bees of Grand Staircase-Escalante National Monument: richness, abundance, and spatio-temporal beta-diversity. PeerJ 6:e5867 https://doi.org/10.7717/peerj.5867\n\n\n\n\n18757\n\n\n\n\nA. Thessen. 2014. Species associations extracted from EOL text data objects via text mining.\n\n\n\n\n18003\n\n\n\n\nPensoft Darwin Core Archives available via Integrated Publication Toolkit\n\n\n\n\n17603\n\n\n\n\nDorey, J.B., Fischer, E.E., Chesshire, P.R. et al. A globally synthesised and flagged bee occurrence dataset and cleaning workflow. Sci Data 10, 747 (2023). https://doi.org/10.1038/s41597-023-02626-w\n\n\n\n\n17088\n\n\n\n\nVandame R, Mérida J, Sagot P, Madrigal González D, Bedolla García B Y, González-Vanegas P A, Cultid-Medina C A, Barrios J M (2023). Potential host plant records recovered from ECOAB wild bee collection, Mexico. Version 1.10. Comisión nacional para el conocimiento y uso de la biodiversidad.\n\n\n\n\n15763\n\n\n\n\nSchwarz, Benjamin et al. (2021). Data from: Temporal scale-dependence of plant-pollinator networks [Dataset]. Dryad. https://doi.org/10.5061/dryad.qz612jmbp\n\n\n\n\n10211\n\n\n\n\nPensoft Darwin Core Archives with associateTaxa columns\n\n\n\n\n9104\n\n\n\n\nAmerican Museum of Natural History Hymenoptera\n\n\n\n\n8678\n\n\n\n\nAubouin, L., Genoud, D., Givord-Coupeau, B. et al. BeeFunc, a comprehensive trait database for French bees. Sci Data 12, 1302 (2025). https://doi.org/10.1038/s41597-025-05626-0\n\n\n\n\n8657\n\n\n\n\nWeb of Life. http://www.web-of-life.es .\n\n\n\n\n6600\n\n\n\n\nUniversity of Michigan Museum of Zoology, Division of Insects\n\n\n\n\n6331\n\n\n\n\nAllen-Perkins, Alfonso, Magrach, Ainhoa, Dainese, Matteo, Garibaldi, Lucas A., Kleijn, David, Rader, Romina, Reilly, James R., et al. 2022. "CropPol: A Dynamic, Open and Global Database on Crop Pollination." Ecology 103(3): e3614. https://doi.org/10.1002/ecy.3614\n\n\n\n\n6290\n\n\n\n\nPurdue Entomological Research Collection\n\n\n\n\n6178\n\n\n\n\nRedhead, J.W.; Coombes, C.F.; Dean, H.J.; Dyer, R.; Oliver, T.H.; Pocock, M.J.O.; Rorke, S.L.; Vanbergen, A.J.; Woodcock, B.A.; Pywell, R.F. (2018). Plant-pollinator interactions database for construction of potential networks. NERC Environmental Information Data Centre. https://doi.org/10.5285/6d8d5cb5-bd54-4da7-903a-15bd4bbd531b\n\n\n\n\n5535\n\n\n\n\n@article{Hale_2024, title={A highly resolved network reveals the role of terrestrial herbivory in structuring aboveground food webs}, volume={379}, ISSN={1471-2970}, url={http://dx.doi.org/10.1098/rstb.2023.0180}, DOI={10.1098/rstb.2023.0180}, number={1909}, journal={Philosophical Transactions of the Royal Society B: Biological Sciences}, publisher={The Royal Society}, author={Hale, Kayla R. S. and Curlis, John David and Auteri, Giorgia G. and Bishop, Sasha and French, Rowan L. K. and Jones, Lance E. and Mills, Kirby L. and Scholtens, Brian G. and Simons, Meagan and Thompson, Cody and Tourville, Jordon and Valdovinos, Fernanda S.}, year={2024}, month=jul }\n\n\n\n\n5531\n\n\n\n\nhttps://mangal.io - the ecological interaction database.\n\n\n\n\n5316\n\n\n\n\nClint Otto, Russ Bryant, and Ned H. Euliss Jr., 2020, The U.S. Geological Survey Pollinator Library Dataset: U.S. Geological Survey. https://doi.org/10.5066/P9DSS3VL\n\n\n\n\n4688\n\n\n\n\nUniversity of Colorado Museum of Natural History Entomology Collection\n\n\n\n\n4680\n\n\n\n\nNational Database Plant Pollinators. Center for Plant Conservation at San Diego Zoo Global. Accessed via https://saveplants.org/national-collection/pollinator-search/ on 2020-06-05.\n\n\n\n\n4284\n\n\n\n\nSeltmann, K., Van Wagner, J., Behm, R., Brown, Z., Tan, E., & Liu, K. (2020). BID: A project to share biotic interaction and ecological trait data about bees (Hymenoptera: Anthophila). UC Santa Barbara: Cheadle Center for Biodiversity and Ecological Restoration. Retrieved from https://escholarship.org/uc/item/1g21k7bf\n\n\n\n\n4169\n\n\n\n\nEardley C, Coetzer W. 2016. Catalogue of Afrotropical Bees.\n\n\n\n\n3709\n\n\n\n\nArizona State University Hasbrouck Insect Collection\n\n\n\n\n3619\n\n\n\n\nMaiorano, L., Montemaggiori, A., Ficetola, G.F., O’Connor, L. & Thuiller, W. (2020), Data from: Tetra-EU 1.0: a species-level trophic meta-web of European tetrapods, Dryad, Dataset, https://doi.org/10.5061/dryad.jm63xsj7b hash://md5/40b3d2de829d5f6d98ab71b0b5aa87fd\n\n\n\n\n3547\n\n\n\n\nMycology Collections Data Portal (MyCoPortal). https://mycoportal.org\n\n\n\n\n3140\n\n\n\n\nUniversity of New Hampshire Donald S. Chandler Entomological Collection\n\n\n\n\n3124\n\n\n\n\nCaraDonna, P.J. 2020. Temporal variation in plant-pollinator interactions, Rocky Mountain Biological Laboratory, CO, USA, 2013 - 2015 ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/27dc02fe1655e3896f20326fed5cb95f (Accessed 2021-04-16).\n\n\n\n\n3120\n\n\n\n\nLaManna, JA, Burkle, LA, Belote, RT, Myers, JA. Biotic and abiotic drivers of plant–pollinator community assembly across wildfire gradients. J Ecol. 2020; 00: 1– 14. https://doi.org/10.1111/1365-2745.13530 .\n\n\n\n\n3039\n\n\n\n\nOllerton, J., Trunschke, J. ., Havens, K. ., Landaverde-González, P. ., Keller, A. ., Gilpin, A.-M. ., Rodrigo Rech, A. ., Baronio, G. J. ., Phillips, B. J., Mackin, C. ., Stanley, D. A., Treanore, E. ., Baker, E. ., Rotheray, E. L., Erickson, E. ., Fornoff, F. ., Brearley, F. Q. ., Ballantyne, G. ., Iossa, G. ., Stone, G. N., Bartomeus, I. ., Stockan, J. A., Leguizamón, J., Prendergast, K. ., Rowley, L., Giovanetti, M., de Oliveira Bueno, R., Wesselingh, R. A., Mallinger, R., Edmondson, S., Howard, S. R., Leonhardt, S. D., Rojas-Nossa, S. V., Brett, M., Joaqui, T., Antoniazzi, R., Burton, V. J., Feng, H.-H., Tian, Z.-X., Xu, Q., Zhang, C., Shi, C.-L., Huang, S.-Q., Cole, L. J., Bendifallah, L., Ellis, E. E., Hegland, S. J., Straffon Díaz, S., Lander, T. A. ., Mayr, A. V., Dawson, R. ., Eeraerts, M. ., Armbruster, W. S. ., Walton, B. ., Adjlane, N. ., Falk, S. ., Mata, L. ., Goncalves Geiger, A. ., Carvell, C. ., Wallace, C. ., Ratto, F. ., Barberis, M. ., Kahane, F. ., Connop, S. ., Stip, A. ., Sigrist, M. R. ., Vereecken, N. J. ., Klein, A.-M., Baldock, K. ., & Arnold, S. E. J. . (2022). Pollinator-flower interactions in gardens during the COVID-19 pandemic lockdown of 2020. Journal of Pollination Ecology, 31, 87–96. https://doi.org/10.26786/1920-7603(2022)695\n\n\n\n\n2831\n\n\n\n\nRobert L. Minckley San Bernardino Valley from the year 2000 to 2011.\n\n\n\n\n2778\n\n\n\n\nHarvard University M, Morris P J (2021). Museum of Comparative Zoology, Harvard University. Museum of Comparative Zoology, Harvard University.\n\n\n\n\n2252\n\n\n\n\nGiselle Muschett & Francisco E. Fontúrbel. 2021. A comprehensive catalogue of plant – pollinator interactions for Chile\n\n\n\n\n2068\n\n\n\n\nCohen JM, Sauer EL, Santiago O, Spencer S, Rohr JR. 2020. Divergent impacts of warming weather on wildlife disease risk across climates. Science. doi:10.1126/science.abb1702\n\n\n\n\n2038\n\n\n\n\nSarah E. Miller. 07/06/2017. Information extracted from dataset https://www.idigbio.org/portal/recordsets/db4bb0df-8539-4617-ab5f-eb118aa3126b.\n\n\n\n\n1884\n\n\n\n\nInternational Council for the Exploration of the Sea (ICES). Year of The Stomach Datasets.\n\n\n\n\n1815\n\n\n\n\nhttp://gomexsi.tamucc.edu\n\n\n\n\n1812\n\n\n\n\n@article {Keck2025.01.24.634685, author = {Keck, Fran{\\c c}ois and Broadbent, Henry and Altermatt, Florian},title = {Extracting massive ecological data on state and interactions of species using large language models},year = {2025},doi = {10.1101/2025.01.24.634685},journal = {bioRxiv}}\n\n\n\n\n1766\n\n\n\n\nFricke, E.C., Svenning, J. 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The Buprestidae of North America, Exclusive of Mexico, a Catalogue including Synonomy, Bibliography, Distribution, Type Locality and Hosts of Each Species,. 1926.\n\n\n\n\n274\n\n\n\n\nBENSCH, S., HELLGREN, O. and PÉREZ‐TRIS, J. (2009), MalAvi: a public database of malaria parasites and related haemosporidians in avian hosts based on mitochondrial cytochrome b lineages. Molecular Ecology Resources, 9: 1353-1358. https://doi.org/10.1111/j.1755-0998.2009.02692.x\n\n\n\n\n263\n\n\n\n\nCanterbury Museum. (2025). Canterbury Museum (CMNZ) collection insect specimen-plant flower interactions (0.4) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15429172\n\n\n\n\n263\n\n\n\n\nFood Webs and Species Interactions in the Biodiversity of UK and Ireland (Online). 2017. Data provided by Malcolm Storey. 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World Wide Web electronic publication. www.sealifebase.org, version (10/2018).\n\n\n\n\n204\n\n\n\n\n@article{Sabino_2022, doi = {10.1016/j.agee.2022.108012}, url = {https://doi.org/10.1016%2Fj.agee.2022.108012}, year = 2022, month = {sep}, publisher = {Elsevier {BV}}, volume = {335}, pages = {108012}, author = {William Sabino and Luciano Costa and Tamires Andrade and Juliana Teixeira and Gustavo Araújo and André Luís Acosta and Luísa Carvalheiro and Tereza Cristina Giannini}, title = {Status and trends of pollination services in Amazon agroforestry systems}, journal = {Agriculture, Ecosystems & Environment}}\n\n\n\n\n181\n\n\n\n\nBrigham Young University Arthropod Museum\n\n\n\n\n179\n\n\n\n\nStokland, J.; Dahlberg, A.; Meyke, E.; Schigel, D.; Siitonen, J. (2006) The Nordic saproxylic database - a comprehensive overview of the biological diversity in dead wood. 1st European Congress of Conservation Biology - "Diversity for Europe". August 2006, Hungary. Book of Abstracts. Society of Conservation Biology (USA) & Blackwell Publishing (UK) p. 159 .\n\n\n\n\n169\n\n\n\n\nUniversity of Wisconsin Stevens Point, Stephen J. Taft Parasitological Collection\n\n\n\n\n164\n\n\n\n\nStephens, P. R., Pappalardo, P. , Huang, S. , Byers, J. E., Farrell, M. J., Gehman, A. , Ghai, R. R., Haas, S. E., Han, B. , Park, A. W., Schmidt, J. P., Altizer, S. , Ezenwa, V. O. and Nunn, C. L. (2017), Global Mammal Parasite Database version 2.0. Ecology, 98: 1476-1476. doi:10.1002/ecy.1799\n\n\n\n\n162\n\n\n\n\nBrose, U. et al., 2005. Body sizes of consumers and their resources. Ecology, 86(9), pp.2545–2545. Available at: https://doi.org/10.1890/05-0379.\n\n\n\n\n159\n\n\n\n\nCruz, G.L.T., Winck, G.R., D’Andrea, P.S. et al. Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset. 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Ecography e06619. https://doi.org/10.1111/ecog.06619\n\n\n\n\n119\n\n\n\n\nSpecies Interactions of Australia Database (SIAD): Helping us to understand species interactions in Australia and beyond. http://www.discoverlife.org/siad/ .\n\n\n\n\n116\n\n\n\n\nField Museum of Natural History IPT\n\n\n\n\n106\n\n\n\n\nGroom, Q.J., Maarten De Groot, M. & Marčiulynienė, D. (2020) Species interation data manually extracted from literature for species .\n\n\n\n\n106\n\n\n\n\nLintulaakso, K., Tatti, N. and Žliobaitė, I., 2023. Quantifying mammalian diets. Mammalian Biology, 103(1), pp.53-67. https://doi.org/10.1007/s42991-022-00323-6\n\n\n\n\n99\n\n\n\n\nMihara, T., Nishimura, Y., Shimizu, Y., Nishiyama, H., Yoshikawa, G., Uehara, H., Hingamp, P., Goto, S., and Ogata, H.; Linking virus genomes with host taxonomy. Viruses 8, 66 doi:10.3390/v8030066 (2016).\n\n\n\n\n92\n\n\n\n\nSan Diego Natural History Museum\n\n\n\n\n79\n\n\n\n\nCarlson, C.J. et al., 2021. The Global Virome in One Network (VIRION): an atlas of vertebrate-virus associations. Available at: http://dx.doi.org/10.1101/2021.08.06.455442\n\n\n\n\n79\n\n\n\n\nCristina Preda and Quentin Groom. 2014. Species associations manually extracted from literature.\n\n\n\n\n72\n\n\n\n\nFaulwetter S, Markantonatou V, Pavloudi C, Papageorgiou N, Keklikoglou K, Chatzinikolaou E, Pafilis E, Chatzigeorgiou G, Vasileiadou K, Dailianis T, Fanini L, Koulouri P, Arvanitidis C (2014) Polytraits: A database on biological traits of marine polychaetes. Biodiversity Data Journal 2: e1024. doi:10.3897/BDJ.2.e1024 . Available at http://polytraits.lifewatchgreece.eu.\n\n\n\n\n62\n\n\n\n\nUS National Museum of Natural History Ixodes Records\n\n\n\n\n60\n\n\n\n\nAlmeida, F. (2005) Trophic Ecology of Atlantic Cod, off Cape Cod, MA, from F/V Riena Marie NEC-FA2001-1 in the Gulf of Maine from 2001-2004 (NEC-CoopRes project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version final) Version Date 2005-10-01 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3087\n\n\n\n\n54\n\n\n\n\nFarr, David F.; Rossman, Amy Y.; Castlebury, Lisa A. (2021). United States National Fungus Collections Fungus-Host Dataset. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1524414.\n\n\n\n\n53\n\n\n\n\nSoleto-Casas RC and Simões N (2020). Parasitic and commensal invertebrates of echinoderms from American Tropical And Subtropical Atlantic manually extracted from literature.\n\n\n\n\n48\n\n\n\n\nSemantic Prototypes in Research Ecoinformatics (SPIRE). Data provided by Joel Sachs. See also http://ebiquity.umbc.edu/get/a/publication/297.pdf .\n\n\n\n\n45\n\n\n\n\nOlito, Colin; Fox, Jeremy W. (2015), Data from: Species traits and abundances predict metrics of plant–pollinator network structure, but not pairwise interactions, Dryad, Dataset, https://doi.org/10.5061/dryad.7st32\n\n\n\n\n43\n\n\n\n\nPrice Institute of Parasite Research, School of Biological Sciences, University of Utah\n\n\n\n\n40\n\n\n\n\nSarah E Miller. 9/19/2017. Species associations manually extracted from Benesh, D. P., Lafferty, K. D. and Kuris, A. (2017), A life cycle database for parasitic acanthocephalans, cestodes, and nematodes. Ecology, 98: 882. doi:10.1002/ecy.1680\n\n\n\n\n37\n\n\n\n\nPocock, Michael J. O.; Evans, Darren M.; Memmott, Jane (2012), Data from: The robustness and restoration of a network of ecological networks, Dryad, Dataset, https://doi.org/10.5061/dryad.3s36r118\n\n\n\n\n36\n\n\n\n\nQuentin J. Groom. 2020. Species interactions of species on the List of invasive alien species of Union concern\n\n\n\n\n34\n\n\n\n\nSarah E Miller. 6/20/2015. Species associations manually extracted from datasets https://www.nceas.ucsb.edu/interactionweb/resources.html.\n\n\n\n\n32\n\n\n\n\nBallantyne, Gavin; Baldock, Katherine C. R.; Willmer, Pat G. (2015), Data from: Constructing more informative plant-pollinator networks: visitation and pollen deposition networks in a heathland plant community, Dryad, Dataset, https://doi.org/10.5061/dryad.17pp3\n\n\n\n\n31\n\n\n\n\nShaw, LP, Wang, AD, Dylus, D, et al. The phylogenetic range of bacterial and viral pathogens of vertebrates. Mol Ecol. 2020; 29: 3361– 3379. https://doi.org/10.1111/mec.15463\n\n\n\n\n27\n\n\n\n\nMuseum for Southwestern Biology (MSB) Parasite Collection\n\n\n\n\n27\n\n\n\n\nSarah E Miller. 5/17/2016. Wenzel, Rupert L., and Vernon J. Tipton. Appendix: Classified List of Hosts and Parasites. Chicago, Ill.: Field Museum of Natural History, 1966.\n\n\n\n\n26\n\n\n\n\nSarah E Miller. 9/19/2016. Species associations extracted from Graystock, P., Blane, E.J., McFrederick, Q.S., Goulson, D. and Hughes, W.O., 2016. Do managed bees drive parasite spread and emergence in wild bees?. International Journal for Parasitology: Parasites and Wildlife, 5(1), pp.64-75.\n\n\n\n\n23\n\n\n\n\nAgosti, Donat. 2020. Transcription of Linné, C. von, 1758. Systema naturae per regna tria naturae secundum classes, ordines, genera, species, cum characteribus, differentiis, synonymis, locis. Available at: http://dx.doi.org/10.5962/bhl.title.542 .\n\n\n\n\n23\n\n\n\n\nUdy, Kristy; Reininghaus, Hannah; Scherber, Christoph; Tscharntke, Teja (2020), Data from: Plant-pollinator interactions along an urbanization gradient from cities and villages to farmland landscapes, Dryad, Dataset, https://doi.org/10.5061/dryad.4mw6m906s\n\n\n\n\n20\n\n\n\n\nIPBES. (2016). The assessment report of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services on pollinators, pollination and food production. Table 2.4.3 p88 Zenodo. https://doi.org/10.5281/zenodo.3402857\n\n\n\n\n20\n\n\n\n\nSherman, Aja C.; Geiselman, Cullen; Simons, Nancy B.; Upham, Nathan S.; Poelen, Jorrit H.; Reeder, DeeAnn M.; Bertolino, Sandro; Groom, Quentin; Phelps, Kendra; Agosti, Donat; Willoughby, Anna R. In Preparation. Bat-Co-Roosting Database develop by the Biodiversity-related knowledge hub on COVID-19.\n\n\n\n\n19\n\n\n\n\nSeltzer, Carrie; Wysocki, William; Palacios, Melissa; Eickhoff, Anna; Pilla, Hannah; Aungst, Jordan; Mercer, Aaron; Quicho, Jamie; Voss, Neil; Xu, Man; J. Ndangalasi, Henry; C. Lovett, Jon; J. Cordeiro, Norbert (2015): Plant-animal interactions from Africa. figshare. https://dx.doi.org/10.6084/m9.figshare.1526128\n\n\n\n\n18\n\n\n\n\nJakovos Demetriou and Quentin Groom 2014. Species associations of Sceliphron manually extracted from literature.\n\n\n\n\n17\n\n\n\n\nSpecies Connect. https://speciesconnect.com\n\n\n\n\n16\n\n\n\n\nGeiselman, Cullen K. & Sarah Younger. 2020. Bat Eco-Interactions Database. www.batbase.org\n\n\n\n\n14\n\n\n\n\nFabricia Sousa Paz, Carlos Eduardo Pinto, Rafael Melo de Brito, Vera Lucia Imperatriz-Fonseca, Tereza Cristina Giannini, Edible Fruit Plant Species in the Amazon Forest Rely Mostly on Bees and Beetles as Pollinators, Journal of Economic Entomology, Volume 114, Issue 2, April 2021, Pages 710–722, https://doi.org/10.1093/jee/toaa284\n\n\n\n\n14\n\n\n\n\nScientific Committee on Antarctic Research. (2023). SCAR Southern Ocean Diet and Energetics Database (2023-04-04) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7796465 hash://md5/e41e29d8fb3c2d731f292ec08798cf6b hash://md5/05abf23c0b9e5f4bc721ff407455af0a hash://sha256/7a344b858ab8d1daeca1da49843e8bf957f1116ff9e10a29176ab5c02cb49bef\n\n\n\n\n12\n\n\n\n\nBernice Pauahi Bishop Museum, J. Linsley Gressitt Center for Research in Entomology\n\n\n\n\n12\n\n\n\n\nGaden S. Robinson; Phillip R. Ackery; Ian Kitching; George W Beccaloni; Luis M. Hernández (2023). HOSTS (from HOSTS - a Database of the World's Lepidopteran Hostplants) [Data set resource]. Natural History Museum. https://data.nhm.ac.uk/dataset/hosts/resource/877f387a-36a3-486c-a0c1-b8d5fb69f85a via Natural History Museum (2023). Data Portal query on 1 resources created at 2023-05-24 11:19:42.032183 PID https://doi.org/10.5519/qd.bsucrxdz\n\n\n\n\n12\n\n\n\n\nGandhi, K. J. K., & Herms, D. A. (2009). North American arthropods at risk due to widespread Fraxinus mortality caused by the Alien Emerald ash borer. Biological Invasions, 12(6), 1839–1846. doi:10.1007/s10530-009-9594-1.\n\n\n\n\n12\n\n\n\n\nMeyer R.S., et al., Beach environmental DNA fills gaps in photographic biomonitoring to track spatiotemporal community turnover across 82 phyla. Environmental DNA, submitted June 3, 2019.\n\n\n\n\n10\n\n\n\n\nConsortium of Small Vertebrate Collections\n\n\n\n\n10\n\n\n\n\nLee, Leshon; Tan, David J. X.; Oboňa, Jozef; Gustafsson, Daniel R.; Ang, Yuchen; Meier, Rudolf (2021). Phoresy Records Appendix.xlsx. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12671711.v1\n\n\n\n\n9\n\n\n\n\nC. Anela Choy, Steven H. D. Haddock, Bruce H. Robison. 2017. Deep pelagic food web structure as revealed by in situ feeding observations. Proc. R. Soc. B 2017 284 20172116; DOI:10.1098/rspb.2017.2116.\n\n\n\n\n8\n\n\n\n\nSarah E Miller. 7/6/2016. Arctos collection.\n\n\n\n\n6\n\n\n\n\nGeiselman, Cullen K. and Tuli I. Defex. 2015. Bat Eco-Interactions Database. www.batplant.org\n\n\n\n\n5\n\n\n\n\nNEON Biorepository Portal at Arizona State University (ASU)\n\n\n\n\n4\n\n\n\n\nSarah E Miller. 4/20/2015. Species associations manually extracted from various papers and articles from site https://repository.si.edu\n\n\n\n\n4\n\n\n\n\nSarah E Miller. 5/28/2015. Arnaud, Paul Henri. A Host-parasite Catalog of North American Tachinidae (Diptera). Washington, D.C.: U.S. Dept. of Agriculture, Science and Education Administration, 1978.\n\n\n\n\n4\n\n\n\n\nSarah E Miller. 7/7/2016. Text gathered from Wirta, H.K., Vesterinen, E.J., Hambäck, P.A., Weingartner, E., Rasmussen, C., Reneerkens, J., Schmidt, N.M., Gilg, O. and Roslin, T., 2015. Exposing the structure of an Arctic food web. Ecology and evolution, 5(17), pp.3842-3856.\n\n\n\n\n4\n\n\n\n\nUniversity of California Santa Barbara Herbarium\n\n\n\n\n3\n\n\n\n\nGippet, J.M.W., Bates, O.K., Moulin, J. et al. The global risk of infectious disease emergence from giant land snail invasion and pet trade. Parasites Vectors 16, 363 (2023). https://doi.org/10.1186/s13071-023-06000-y\n\n\n\n\n3\n\n\n\n\nJorrit H. Poelen. 2017. Species interactions associated with known species interaction datasets.\n\n\n\n\n3\n\n\n\n\nMinisterio del Ambiente, Agua y Transición Ecológica de Ecuador - MAATE.\n\n\n\n\n3\n\n\n\n\nSarah E Miller. 9/15/2016. Species associations extracted from http://parasiticplants.siu.edu/index.html.\n\n\n\n\n3\n\n\n\n\nSarah E Miller. 9/3/2015. Species associations manually extracted from JSTOR.\n\n\n\n\n3\n\n\n\n\nSchriml, L. M., Arze, C., Nadendla, S., Ganapathy, A., Felix, V., Mahurkar, A., … Hall, N. (2009). GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database. Nucleic Acids Research, 38(Database), D754–D764. doi:10.1093/nar/gkp832\n\n\n\n\n2\n\n\n\n\nCarnegie Invertebrate Zoology Collection\n\n\n\n\n2\n\n\n\n\nF. Gabriel. Muñoz. 2017. Palm-Animal frugivore associations extracted from literature with Biodiversity Observations Miner for SouthEast Asia.\n\n\n\n\n2\n\n\n\n\nFerrer-Paris, José R.; Sánchez-Mercado, Ada Y.; Lozano, Cecilia; Zambrano, Liset; Soto, José; Baettig, Jessica; Leal, María (2014): A compilation of larval host-plant records for six families of butterflies (Lepidoptera: Papilionoidea) from available electronic resources. figshare. http://dx.doi.org/10.6084/m9.figshare.1168861\n\n\n\n\n2\n\n\n\n\nInouye, David (2017). An Access database of records collated from the literature about flies pollinating or at least visiting flowers, updated 2017. https://doi.org/10.13016/M2SZ73 http://hdl.handle.net/1903/19193 hash://sha256/a9ab0a6173d34695c85f5fb8947e196478d1253d9d79b0662921ef4e36639c05\n\n\n\n\n2\n\n\n\n\nPaleo Digitization Working Group. Biological associations extracted from fossil specimens.\n\n\n\n\n2\n\n\n\n\nQuentin J. Groom. 2020. Bat interation data manually extracted from literature.\n\n\n\n\n2\n\n\n\n\nSarah E. Miller. 04/14/2015. Extracted from literature Scott, J.A. 1986.  The Butterflies of North America.  Stanford University Press, Stanford, CA\n\n\n\n\n2\n\n\n\n\nStrona, G., Palomares, M. L. D., Bailly, N., Galli, P., & Lafferty, K. D. (2013). Host range, host ecology, and distribution of more than 11 800 fish parasite species. Ecology, 94(2), 544–544. doi:10.1890/12-1419.1\n\n\n\n\n2\n\n\n\n\nStrong, Justin S., and Shawn J. Leroux. 2014. "Impact of Non-Native Terrestrial Mammals on the Structure of the Terrestrial Mammal Food Web of Newfoundland, Canada." PLOS ONE 9 (8): e106264. https://doi.org/10.1371/journal.pone.0106264\n\n\n\n\n2\n\n\n\n\nThessen AE. 2017. Biotic Interactions in Greenland. GloBI. 10.5281/zenodo.266824\n\n\n\n\n1\n\n\n\n\nBourlat SJ, Koch M, Kirse A, Langen K, Espeland M, Giebner H, Decher J, Ssymank A, Fonseca VG (2023) Metabarcoding dietary analysis in the insectivorous bat Nyctalus leisleri and implications for conservation. Biodiversity Data Journal 11: e111146. https://doi.org/10.3897/BDJ.11.e111146\n\n\n\n\n1\n\n\n\n\nCamargo-Sanabria, A.A., Fernández, J.A., Hernández-Quiroz, N.S., Buitrago-Torres, D.L. and Álvarez-Córdova, F. (2025), Ecological Interactions of Terrestrial Mammals in the Chihuahuan Desert: A Systematic Map. Mam Rev e70001. https://doi.org/10.1111/mam.70001\n\n\n\n\n1\n\n\n\n\nDe Rojas M, Doña J, Dimov I (2020) A comprehensive survey of Rhinonyssid mites (Mesostigmata: Rhinonyssidae) in Northwest Russia: New mite-host associations and prevalence data. Biodiversity Data Journal 8: e49535. https://doi.org/10.3897/BDJ.8.e49535\n\n\n\n\n1\n\n\n\n\nDeans, Andrew (2021). Catalog of Rose Gall, Herb Gall, and Inquiline Gall Wasps (Hymenoptera: Cynipidae) of the United States, Canada, and Mexico\n\n\n\n\n1\n\n\n\n\nGunther KA et al. 2014 Dietary breadth of grizzly bears in the Greater Yellowstone Ecosystem. Ursus 25(1):60-72\n\n\n\n\n1\n\n\n\n\nHiveTracks WorldFAIR Test Data.\n\n\n\n\n1\n\n\n\n\nSarah E Miller. 3/4/2015. Species associations manually extracted from http://onlinelibrary.wiley.com/doi/10.1111/j.1474-919X.2009.00907.x/suppinfo.\n\n\n\n\n1\n\n\n\n\nSarah E Miller. 5/21/2015. Text gathered from http://www.biodiversitylibrary.org/\n\n\n\n\n1\n\n\n\n\nVanderweyen A, Fraiture A, Groom Q, Desmet P, Reyserhove L (2019). Catalogue of the Rust Fungi of Belgium. Botanic Garden Meise.\n\n\n\n\n1\n\n\n\n\nVanderweyen, A., & Fraiture, A. (2009). Catalogue des Uredinales de Belgique, 1re partie, Chaconiaceae, Coleosporiaceae, Cronartiaceae, Melampsoraceae, Phragmidiaceae, Pucciniastraceae, Raveneliaceae et Uropyxidaceae. Lejeunia, Revue de Botanique|Vanderweyen, A., & Fraiture, A. (2009). Catalogue des Uredinales de Belgique, 2ème partie, Pucciniaceae (sauf Puccinia)(suite 2). Lejeunia, Revue de Botanique.|Vanderweyen, A., & Fraiture, A. (2012). CATALOGUE DES UREDINALES DE Belgique 3ème partie Pucciniaceae (genre Puccinia). Lejeunia, Revue de Botanique.\n\n\n\n\n1\n\n\n\n\nZeke Marshall. 2021. Species interactions manually extracted from literature.\n\n\n\n\n\n\n \n\nReferences\n\nPoelen JH, Simons JD, Mungall CJ (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2014.08.005\n\nSeltmann KC, Allen J, Brown BV, Carper A, Engel MS, Franz N, Gilbert E, Grinter C, Gonzalez VH, Horsley P, Lee S, Maier C, Miko I, Morris P, Oboyski P, Pierce NE, Poelen J, Scott VL, Smith M, Talamas EJ, Tsutsui ND, Tucker E (2021) Announcing Big-Bee: An initiative to promote understanding of bees through image and trait digitization. Biodiversity Information Science and Standards 5: e74037. https://doi.org/10.3897/biss.5.74037\n\nPoelen, JS & Seltmann, KS (2024) Bees Only Please: Bees Only Please: Selecting Hundreds of Thousands of Possible Bee Interactions Using a Laptop, Open Datasets, and Small (but Mighty) Commandline Tools. https://www.globalbioticinteractions.org/2024/06/07/bees-only-please\n\nAscher, J. S. and J. Pickering (2020) Discover Life bee species guide and world checklist (Hymenoptera: Apoidea: Anthophila). http://www.discoverlife.org/mp/20q?guide=Apoidea_species.\n\nAcknowledgements\n\nThis project is supported by the National Science Foundation. Award numbers: DBI:2102006, DBI:2101929, DBI:2101908, DBI:2101876, DBI:2101875, DBI:2101851, DBI:2101345, DBI:2101913, DBI:2101891 and DBI:2101850 "],"Other":["Please cite the resources, natural history collections and publications where the data originated as found in uniq_citations.tsv file above. Also, please cite Poelen et. al (above in References) to cite Global Biotic Interactions."]} 

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