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9,276 results for “ET”
Photosynthetic quotients in aquatic ecosystems: data and code supporting Trentman et al. 2023 manuscript in L&O Letters
This study provides a summary of the mismatch between our current knowledge and the application of the photosynthetic quotient (PQ). We use data from the Upper Clark Fork River (UCFR) as a case study example of how the PQ may vary in space and time based on environmental conditions. Surface water sample measurements of dissolved oxygen (DO), temperature (T), nutrients (NO3-N, NH4-N, SRP), and several metabolism indicators are represented in this data product. Figures represent data from two sites on the mainstem of the Upper Clark Fork River (UCFR) over a roughly two-year period, from 2019 to 2021. Some measurements are derived from existing data products or manuscripts, including DOT (Valett, et al., 2023); nutrients (H. M. Valett, Dec. 2, 2022, pers. comm); air pressure (Deer Lodge Weather Station, 2023); underlying data for Trentman et al. (2023) Figure 2 and Figure 4e and 4f (via Burris, 1981); and SI-Figure2 USGS gage data (USGS, 2023). Products unique to this data product include metabolism data (Trentman, et al., 2023 (Figure 5)), chamber data supporting Trentman, et al., (2023) Figure 6, and code simulations/data. All analytes and variables are documented in the project data dictionary. For details on data collection methods, see the methods section, the manuscript, and/or referenced data products.
Hubbard Brook Experimental Forest: Data in support of Territory sizes and patterns of habitat use by forest passerines over five decades: Ideal free or ideal despotic?, Zammarelli et al.
In this study, we analyzed territory sizes of seven migratory songbirds occupying a 10-hectare plot in the Hubbard Brook Experimental Forest, New Hampshire, USA over a 52-year period (1969-2021). All species varied in abundance over the duration of the study, some dramatically. Changes in territory sizes were inversely related to changes in abundance within the study plot despite differences in habitat preference, supporting the ideal free distribution. Territory sizes varied two-fold within a year across species. Results contribute to understanding how variation in territory size relates to 1) how habitat use changes with bird abundance, 2) the evolution of territory size, and 3) the role of territoriality in population dynamics. This dataset includes data, R code, and spatial files supporting this study. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station. Associated datasets in the data catalog: Holmes, R.T., N.L. Rodenhouse, and M.T. Hallworth. 2022. Bird Abundances at the Hubbard Brook Experimental Forest (1969-present) and on three replicate plots (1986-2000) in the White Mountain National Forest ver 8. Environmental Data Initiative. https://doi.org/10.6073/pasta/6422a72893616ce9020086de5a5714cd (Accessed 2023-12-17). Zammarelli, M.B. and R.T. Holmes. 2023. Hubbard Brook Experimental Forest: 10-ha bird plot territory maps, 1969 - 2021 ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/df93595ba8df60570d472f6e6f58839e (Accessed 2024-01-11).
MCR LTER: Coral Reef: Material legacy disturbance type model; data for Kopecky et al., 2023 Ecology
This data package contains the code necessary to create a mathematical model of coral reef recovery dynamics following different types and intensities of disturbances that either remove dead coral skeletons (e.g., tropical storms) or leave standing dead skeletons (e.g., coral bleaching) and run associated analyses. We explored the sensitivity of the model to variation in key parameters, such as the strength of herbivory, and the degree to which dead skeletons protect algae from herbivory. Further, we assessed disturbance intensities and values of these parameters that lead to shifts between coral and macroalgae-dominated reefs. This code was published in Ecology and were a part of the thesis of K. Kopecky (2023). Analyses and full methods descriptions of this model can be found in the manuscript “Material legacies can degrade resilience: Structure-retaining disturbances promote regime shifts on coral reefs” (DOI: https://doi.org/10.1002/ecy.4006). No novel data were used or generated in this study. This manuscript uses data collected by the U.S. National Science Foundation's (NSF) Moorea Coral Reef Long Term Ecological Research (MCR LTER) site under Grant No. OCE 2224354 (and earlier awards). Additional financial support to the MCR LTER site was provided through a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2023).
MCR LTER: Coral Reef: Farmerfish gardens help buffer stony corals against marine heat waves, data for Honeycutt et al., PLOS One 2023
These data were generated in support of the manuscript: Honeycutt RC, Holbrook SJ, Brooks, AJ, and RJ Schmitt, PLOS One In Moorea, French Polynesia, we evaluated the response and fate of stony coral following a major thermal stress event in 2019 that caused a substantial amount of branching coral (dominantly Pocillopora) to bleach and die. We investigated whether Pocillopora colonies that occurred within territorial gardens protected by the farmerfish Stegastes nigricans were less susceptible to or survived bleaching better than Pocillopora on adjacent, undefended substrate. Bleaching prevalence and severity, which were quantified for >1,100 colonies shortly after they bleached, did not differ between colonies within or outside of defended gardens. By contrast, 399 focal colonies followed for one year revealed that a bleached coral within a garden was a third less likely to suffer complete colony death and, for survivors, about twice as likely to recover to its pre-bleaching cover of living tissue compared to Pocillopora outside of a farmerfish garden. Our findings indicate that while residing in a farmerfish garden may not reduce the bleaching susceptibility of a coral during thermal stress, it does help buffer a bleached coral against severe outcomes. This oasis effect of farmerfish gardens, where survival and recovery of thermally-damaged corals are enhanced, is another mechanism that helps explain why large Pocillopora colonies are far more abundant in farmerfish territories than elsewhere in the lagoons of Moorea, despite gardens being much less common. As such, farmerfish may have a growing role in maintaining the resilience of branching corals as the frequency and intensity of marine heat waves continue to increase. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued
MCR LTER: Coral Reef: Asynchrony in coral community structure contributes to reef‑scale community stability, data for Srednick et al., Nature 2023
These data were generated in support of the manuscript: Srednick G, Davis K, and Edmunds P, Nature To evaluate whether spatial insurance effects are important on coral reefs, we explored variation over 2006–2019 in coral community structure and environmental conditions in Moorea, French Polynesia. We studied coral community structure at a single site with fringing, back reef, and fore reef habitats, and used this system to explore associations among community asynchrony, asynchrony of environmental conditions, and community stability. The daily range in seawater temperature among habitats suggests it could be a factor contributing to the variation in coral community structure. Wave-forced seawater flow facilitated larval exchange among connected habitats, differing in strength among years, and accentuated periodic connectivity among habitats at 1-7 year intervals. At this site, connected habitats harboring taxonomically similar coral assemblages and exhibiting asynchronous population dynamics can provide insurance against extirpation and may promote community stability. If these effects apply at larger spatial scale, then among-habitat community asynchrony is likely to play an important role in determining reef-wide coral community resilience. This manuscript uses data collected by the U.S. National Science Foundation's (NSF) Moorea Coral Reef Long Term Ecological Research (MCR LTER) site under Grant No. OCE 2224354 (and earlier awards). Additional financial support to the MCR LTER site was provided through a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2023).
MCR LTER: Coral Reef: Quantifying 2019 coral bleaching; data for Kopecky et al., 2023 Remote Sensing
This data package contains a dataset generated using image AI-assisted image segmentation of live and dead corals within ortho-photomosaics of benthic reef habitat on the North shore fore reef of Moorea, French Polynesia. The orthophotomosaics were produced through a rigorous method of underwater photogrammetry that allowed for spatial and temporal co-registration of ortho-photomosaics of the same location over time (for full photogrammetric methods, see Nocerino et al. 2020: https://doi.org/10.3390/rs12183036). Using the image segmentation software, TagLab (see Pavoni et al. 2021: https://doi.org/10.1002/rob.22049), we quantified live and dead coral before and after a bleaching event to estimate the amount of coral loss as a result of this event. This data package also contains code necessary to conduct the analyses of the dataset described above and create data visualizations used in the manuscript “Quantifying the Loss of Coral from a Bleaching Event Using Underwater Photogrammetry and AI-Assisted Image Segmentation”, published in the journal Remote Sensing in 2023, and as part of the dissertation of K. Kopecky. Analyses of these data and full methods descriptions can be found at https://doi.org/10.3390/rs15164077. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 22-24354 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2024). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
MCR LTER: Coral Reef: Growth-predation risk trade-offs constrain the local distribution of a thicket-forming staghorn coral to marginal reef habitats; Data for Ladd et al., 2025, Scientific Reports.
This dataset is in support of the manuscript: Growth-predation risk tradeoffs constrain the local distribution of a thicket-forming staghorn coral to marginal reef habitats. These data were collected to 1) document how Acropora pulchra is distributed around the island of Moorea, and 2) to better understand the ecological processes that shape that distribution. Data include 1) results from surveys around the island of Moorea documenting the presence and size distribution of Acropora pulchra thickets, 2) results from an experiment measuring the growth and survivorship of Acropora pulchra fragments in the presence and absence of fish predators at nearshore fringing reef sites and adjacent sites in the mid lagoon (n = 20 sites in total), and 3) ancillary data on nitrogen content and dN15 in the tissue of the macroalgae Turbinaria ornata, sediment accumulation, and corallivore biomass at the experimental sites. All data were collected in 2016 and 2017.
MCR LTER: Coral Reef: Spatial portfolios in coral metapopulations are shaped by spatiotemporal asynchrony in environmental conditions; Data for Srednick et al., 2026 Ecology Letters
Using wavelet analyses of a 19-year coral community timeseries from Moorea, French Polynesia, we quantified timescale-specific population synchrony in four common coral genera and evaluated the predictors of spatial portfolio effects. We detected synchrony within genera associated with synchrony in degree heating days, diurnal temperature range (DTR), and macroalgal cover at different timescales. Synchrony in DTR and macroalgal cover was associated with lower synchrony of Pocillopora and Porites populations, respectively. Population (for three of four genera) and environmental synchrony were stronger within than among habitats across timescales, underscoring the role of habitat-specific conditions in driving spatial synchrony and spatial portfolios. These results describe how the spatial and temporal scales of heterogeneity in environmental and ecological conditions determine synchrony in coral population dynamics and support a spatial portfolio effect, which may buffer coral metapopulations from island-scale collapse. Data in support of analyses for: Spatial portfolios in coral metapopulations are shaped by spatiotemporal asynchrony in environmental conditions. Published in Ecology Letters 2026.
Supporting data for Becker et al. PNAS (doi: 10.1073/pnas.1912921117)
<p>Ganges-Brahmaputra-Meghna delta Relative Water Level (RWL) Reconstruction v.1.1</p> <p>The paper describing the regional Relative Water Level Reconstruction (1968-2012) is Becker et al. PNAS (doi: 10.1073/pnas.1912921117)</p> <p>Each of the 6 files contains the monthly interannual mean of the relative water-level reconstruction for one of the 6 defined regions (R1 to R6) over 1968-2012.</p> <p> </p>
Supplementary information for Xing et al.: Hummingbird-sized dinosaur from the Cretaceous of Myanmar
<p>This contribution contains an interactive 3D model of HPG-15-3, the TNT nexus file for the phylogenetic analysis, comparative data, and R scripts/tree files to reproduce the following figures of Xing et al. (2019):</p> <p>Figure 02</p> <p>Figure 03</p> <p>Extended Data Figure 06</p> <p>Extended Data Figure 09.</p> <p>Data for Figure 03 were originally published in Schmitz and Motani (2011).</p>
Derived Data supporting "On the Seasonal Cycles of Tropical Cyclone Potential Intensity" (Gilford et al. 2017, JoC)
<p>Derived monthly mean tropical cyclone potential intensities (and associated variables) using the Bister and Emanuel 2002 PI algorithm, ftp://texmex.mit.edu/pub/emanuel/TCMAX; from MERRA2 (averaged over 1980-2016) and ERA-I data (averaged over 1980-2013), on 2.5x2.5 degree grids and with the ERA-I land-sea mask already applied. This data supported the publication of Gilford et al. (2017, JoC). When using this data, please include the citation:</p> <p>Daniel M. Gilford, Susan Solomon, and Kerry Emanuel, 2017: On the Seasonal Cycles of Tropical Cyclone Potential Intensity. <em>J. Climate, </em><strong>30</strong>, 6085–6096. doi: <a href="http://journals.ametsoc.org/doi/10.1175/JCLI-D-16-0827.1">10.1175/JCLI-D-16-0827.1</a>.</p> <p> </p>
Data set and code supporting Marshall et al. 2020. No room to roam: King Cobras reduce movement in agriculture.
<p>Data and code used in the publication:</p> <p>Marshall, B.M., Crane, M., Silva, I., Strine, C.T., Jones, M.D., Hodges, C.W., Suwanwaree, P., Artchawakom, T., Waengsothorn, S., Goode, M. (2020). No room to roam: King Cobras reduce movement in agriculture. <em>Mov Ecol</em> <strong>8, </strong>33 (2020). https://doi.org/10.1186/s40462-020-00219-5</p> <p>Marshall, B.M., Crane, M., Silva, I., Strine, C.T., Jones, M.D., Hodges, C.W., Suwanwaree, P., Artchawakom, T., Waengsothorn, S., Goode, M. (2020). No room to roam: King Cobras reduce movement in agriculture. bioRxiv 2020.03.24.006676; doi: https://doi.org/10.1101/2020.03.24.006676</p> <p>Including: telemetry data, habitat shapefile and derived rasters, ISSF and JAGS model specification and results, code to reproduce analysis and generate figures. </p>
Van de Ven et al._2019_ERL_DATASET
<p>This dataset contains the underlying data for the following publication: <strong>Van de Ven, D. J., Sampedro, J., Johnson, F. X., Bailis, R., Forouli, A., Nikas, A., ... & Doukas, H. (2019). Integrated policy assessment and optimisation over multiple sustainable development goals in Eastern Africa. <em>Environmental Research Letters, 14</em>(9), 094001, </strong><strong>https://doi.org/10.1088/1748-9326/ab375d</strong>. Full details of methods used to create the dataset are provided within this publication.</p>
Nikas_et_al_2020_ORIJ_DATASET
<p>This dataset contains the underlying data for the following publication: <strong>Nikas, A., Fountoulakis, A., Forouli, A., & Doukas, H. (2020). A robust augmented ε-constraint method (AUGMECON-R) for finding exact solutions of multi-objective linear programming problems. Operational Research, in press, 10.1007/s12351-020-00574-6.</strong> Full details of methods used to create the dataset and provided within this publication.</p>
Babonneau_et_al_2020_EMA_DATASET
<p>This dataset contains the underlying data for the following publication: <strong>Babonneau, F., Bahn, O., Haurie, A. & Vielle, M. (2020). An Oligopoly Game of CDR Strategy Deployment in a Steady-State Net-Zero Emission Climate Regime. <em>Environmental Modeling & Assessment, in press</em>, </strong><a href="https://doi.org/10.1007/s10666-020-09734-6">10.1007/s10666-020-09734-6</a><strong>.</strong></p>
Cayla et al., 2020, Wellcome Open Research - Underlying data
<p>Underlying dataset for the identifications of low-complexity regions (LCRs) in the proteome of Trypanosoma brucei.</p> <p>- Supplement File 2.xlsx (Position of every InterPro domain and LCR identified. All genes are provided with indication on chromosome localisation, presence of transmembrane domains, signal peptides and the localisation of the encoded proteins, either predicted using DeepLoc<sup>37</sup> or observed (Tryptag<sup>38</sup>)).</p> <p>- Supplement File 3.xlsx (List of genes and Molecular Function gene ontology (GO) enrichment analysis of proteins with predicted LCRs in the N-terminal, central part or C-terminal or the different possible combinations.)</p> <p>- Supplement File 4.xlsx (Property analysis of sequences of every InterPro and LCRs identified.)</p> <p>- Supplement File 5.xlsx (List of genes and Molecular GO enrichment analysis of proteins presenting a Low (<8) or High (>9) polarity index level.)</p> <p>- Supplement File 6.xlsx (List and position of PTMs present on InterPro domains and LCRs. The different datasets from which the PTMs have been extracted can be found in the Zhang2020, Benz2019, Cayla2019, Urbaniak2013, Ooi2020, Fisk2012, Lott2012 and Moretti2017<sup>12,13,15,17–19,27,28</sup> columns. The sequence properties of the domains/LCRs on which these PTMs are located are also indicated. The list of modifications identified in Ooi <em>et al.</em> 2020<sup>28</sup> present on LCRs are indicated in the second sheet.)</p> <p>- Supplement File 7.xlsx (List and position of LCRs, signal peptides and their overlap.)</p>
Data set and code supporting Marshall et al., "An inventory of online reptile images"
<p>Data set and code supporting: MARSHALL, B.M., FREED, P., VITT, L.J., BERNARDO, P., VOGEL, G., LOTZKAT, S., FRANZEN, M., HALLERMANN, J., SAGE, R.D., BUSH, B. and DUARTE, M.R., 2020. An inventory of online reptile images. <em>Zootaxa</em>, <em>4896</em>(2), pp.251-264. DOI:<a href="https://doi.org/10.11646/zootaxa.4896.2.6">10.11646/zootaxa.4896.2.6</a></p> <p>Data includes: </p> <ul> <li>Supplementary Table 1. List of all species and the number of photos in each of the 6 repositories: "SuppData1_Species_Photo_Count_Table_2020-08-04_no_syn.csv"</li> <li>Supplementary Table 2. List of species without photo in any of the 6 repositories: "SuppData2_Species_no_photos.csv"</li> <li>Supplementary Table 3. Per country summary data of number of species present and number with images: "SuppData3_Country_species_counts.csv"</li> <li>Reptile Database species checklist: "reptile_checklist_2020_04.csv"</li> <li>Reptile Database species synonyms used in second Wikimedia search: "reptile names 2019 syno.csv"</li> </ul> <p>Code includes:</p> <ul> <li>R code used to retrieve Flickr photograph metadata: "SuppCode1_Flickr_search.R"</li> <li>R code used to retrieve Wikimedia photograph metadata: "SuppCode2_Wikimedia_query.R"</li> <li>R code used to retrieve HerpMapper photograph metadata: "SuppCode3_HerpMapper_search.R"</li> <li>R code used to generate figures: "SuppCode4_Figure Generation.R"</li> </ul> <p>Also includes Zootaxa supplementary table.</p> <p> </p>
ECOBREED WP2 durum wheat data related to Kuzmanovic et al. (2020)
<p>Agronomic data (Sheet 1) and quality data (Sheet 2) of durum wheat (Triticum durum) check varieties and durum wheat breeding lines with multiple alien gene introgressions. The data are related to the publication of Kuzmanovic et al. (2020) Agronomy 10, 486. doi:10.3390/agronomy10040486</p>
ECOBREED WP3 entomopathogenic fungi-wireworm data related to Razinger et al. (2020)
<p>Raw data related to Figures 1 to 5 and Table 1 plus suplementary raw data of the publication Razinger et al. (2020) Frontiers in Plant Science 11:535005; doi: 10.3389/fpls.2020.535005.</p>
S60 | SWISSPEST19 | Swiss Pesticides and Metabolites from Kiefer et al 2019
<p>This is the collection associated with list S60 SWISSPEST19 on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>Swiss pesticides (plant protection products) and metabolites from Kiefer et al 2019 (Eawag), Tables SI-B 1 and 2, DOI: <a href="https://doi.org/10.1016/j.watres.2019.114972">10.1016/j.watres.2019.114972</a></p> <p>Update 25 April 2020: fixed many naming issues in xlsx and csv file. No structural information changed. 25 Mar 2023: fixed date CAS. 25 May 2023: fixed non-live CIDs to <a href="https://gitlab.lcsb.uni.lu/eci/pubchem/-/commit/56abd8e2bacbbb6969c961101df792189d605bfd">live CIDs</a>. 6 Jul 2023: added <a href="https://gitlab.lcsb.uni.lu/eci/pubchem/-/commit/3ff26d704ad9ac831a5d276256c1c89020fb2e02">NOA 413161</a> structures and transformations file. 8 April 2025: fixed three CIDs that went non-live to match CIDs from NORMAN deposition. Mismatch of InChIKeys due to difference in treatment of the C=N-O groups between PubChem and Open Babel; files now match PubChem's output. 2 Jun 2025: updated TFA synonym. 31 Aug 2025: fixed triazole alanine structure for one entry (removing incorrect CID <span><a href="https://pubchem.ncbi.nlm.nih.gov/compound/139597001"><span>139597001</span></a></span>).</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.