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Marine macrobenthic assemblages off Bevano River mouth (2019)
<p>This dataset provides the abundance (ind. m<sup>-2</sup>) of marine macrobenthic invertebrate species at 39 random sampling points from 0.5 to 8 m depth along the coast (5 km) off the NATURA 2000 site IT4070009 "Ortazzo, Ortazzino e Foce del Torrente Bevano", sampled from 22 May to 4 July, 2019. Sediment grain size and organic matter are also provided.</p> <p>The dataset is provided in three formats: </p> <p>- Microsoft Excel XLSX file, including 3 sheets (Dataset, Fields and units, Taxonomy) </p> <p>- CSV files (UTF-8), 3 files corresponding to the 3 sheets of the Excel file </p> <p>- ESRI Shapefile (UTF-8, geometry point, EPSG:4326 - WGS 84)</p> <p>The dataset includes 39 records, one for each sampling point, and 111 fields. The first 12 fields are described in Table 4). The following fields concern the abundance of the identified taxa as individuals preserved in alcohol sorted and classified under microscope (ind. m<sup>-2</sup> ± 10). All the dataset fields are described in the file “Fields and units”, while the taxonomic related information for each taxon is provided in the file “Taxonomy”. Information extracted from the World Register of Marine Species (WoRMS; <a href="https://marinespecies.org/">https://marinespecies.org/</a>) is provided here.</p> <p>A total of 99 soft bottom taxa belonging to the Phyla Annelida (29), Arthropoda (28), Cnidaria (1), Echinodermata (2), Mollusca (37), Nemertea (1), and Phoronida (1) were identified. Of these, 51 have been recognized at species level.</p> <p>This dataset comes from the project "Characterization of the mouth area of the Bevano River and identification of strategies for the conservation and enhancement of nursery areas for protected species of commercial interest", carried out by the Interdepartmental Research Center for Environmental Sciences (CIRSA) of the Alma Mater Studiorum University of Bologna. The project was financed by the Emilia-Romagna Region (call FLAG Costa dell'Emilia-Romagna 2018) with funds from the European Union (FEAMP 2014/2020, Action 2.A.a, "Marine and lagoon habitats - Studies and research"), and took place from January to August 2019 (Abbiati et al., 2019 DOI: <a href="http://doi.org/10.5281/zenodo.4016598">10.5281/zenodo.4016598</a>). This dataset has been revised and completed within the project "Ecosystem for Sustainable Transition in Emilia-Romagna" (Code: ECS_00000033 - CUP: B33D21019790006; Mission 04 Education and research - Component 2 From research to business Investment 1.5 - NextGenerationEU) .</p> <p> </p> <p>First 12 fields in the dataset.</p> <table> <tbody> <tr> <td> <p><strong>Field</strong></p> </td> <td> <p><strong>Darwin Core term</strong></p> </td> <td> <p><strong>Unit</strong></p> </td> <td> <p><strong>Precision</strong></p> </td> <td> <p><strong>Note</strong></p> </td> </tr> <tr> <td> <p>locationID</p> </td> <td> <p>locationID</p> </td> <td> <p>NA</p> </td> <td> <p>NA</p> </td> <td> <p>Sampling location identifier (ID) specific to the data set</p> </td> </tr> <tr> <td> <p>samplingDate</p> </td> <td> <p>eventDate</p> </td> <td> <p>YYYY-MM-DD</p> </td> <td> <p>NA</p> </td> <td> <p>Conforms to ISO 8601-1:2019</p> </td> </tr> <tr> <td> <p>samplingTime</p> </td> <td> <p>eventTime</p> </td> <td> <p>HH:MM</p> </td> <td> <p>± 10 min</p> </td> <td> <p>Central European Summer Time CEST (UTC+2) conforms to ISO 8601-1:2019</p> </td> </tr> <tr> <td> <p>decimalLatitude</p> </td> <td> <p>decimalLatitude</p> </td> <td> <p>decimal degrees</p> </td> <td> <p>± 0.00001</p> </td> <td> <p>WGS84 (EPSG: 4326) - WAAS/EGNOS enabled GPS position</p> </td> </tr> <tr> <td> <p>decimalLongitude</p> </td> <td> <p>decimalLongitude</p> </td> <td> <p>decimal degrees</p> </td> <td> <p>± 0.00001</p> </td> <td> <p>WGS84 (EPSG: 4326) - WAAS/EGNOS enabled GPS position</p> </td> </tr> <tr> <td> <p>Depth</p> </td> <td> <p>maximumDepthInMeters</p> </td> <td> <p>m</p> </td> <td> <p>± 0.1</p> </td> <td> <p>Mean Lower Low Water - measured with echosounder or depth gauge corrected by tide gauge of Porto Corsini (RA)</p> </td> </tr> <tr> <td> <p>SamplingGear</p> </td> <td> <p>NA</p> </td> <td> <p>NA</p> </td> <td> <p>NA</p> </td> <td> <p>Van Veen grab operated from boat or bailer manually operated by diver inside a cylindrical frame</p> </td> </tr> <tr> <td> <p>SamplingArea</p> </td> <td> <p>NA</p> </td> <td> <p>m^2</p> </td> <td> <p>± 0.001</p> </td> <td> <p>Sampler size</p> </td> </tr> <tr> <td> <p>Mud</p> </td> <td> <p>NA</p> </td> <td> <p>% dry mass</p> </td> <td> <p>± 0.1%</p> </td> <td> <p><63 µ wet sieved recovered on Whatman filter paper and then dried at 80°C for 24 hours before weighing at ± 0.00001 g</p> </td> </tr> <tr> <td> <p>FineSand</p> </td> <td> <p>NA</p> </td> <td> <p>% dry mass</p> </td> <td> <p>± 0.1%</p> </td> <td> <p>250-63 µ wet sieved recovered on Whatman filter paper and then dried at 80°C for 24 hours before weighing at ± 0.00001 g</p> </td> </tr> <tr> <td> <p>MediumSand</p> </td> <td> <p>NA</p> </td> <td> <p>% dry mass</p> </td> <td> <p>± 0.1%</p> </td> <td> <p>>250 µ wet sieved recovered on Whatman filter paper and then dried at 80°C for 24 hours before weighing at ± 0.00001 g</p> </td> </tr> <tr> <td> <p>OrganicMatter</p> </td> <td> <p>NA</p> </td> <td> <p>% dry mass</p> </td> <td> <p>± 0.1%</p> </td> <td> <p>Loss on Ignition (LOI%) at 450°C 8h and weighted at ± 0.00001 g</p> </td> </tr> <tr> <td> <p>Actiniaria</p> </td> <td> <p>NA</p> </td> <td> <p>ind. m^-2</p> </td> <td> <p>± 10</p> </td> <td> <p>Individuals preserved in alcohol sorted and classified under microscope</p> </td> </tr> </tbody> </table>
Chironomid taxa relative abundance information and lake identifiers for: Changes in midge assemblages reflect climate and trophic gradients across north temperate and boreal lakes since the pre-industrial period
<p>File 1: Relative abundances for chironomid taxa used in the manuscript: Changes in midge assemblages reflect climate and trophic gradients across north temperate and boreal lakes since the pre-industrial period. Lake_ID corresponds to the lake IDs attributed to each lake sampled as part of the LakePulse Network</p> <p>File 2: Lake_ID, lake name, latitude, longitude, sampling date, province, and ecozone for the 69 lakes examined in the manuscript: Changes in midge assemblages reflect climate and trophic gradients across north temperate and boreal lakes since the pre-industrial period. </p>
Data and code: Kuipers et al. (2023) Land use diversification may mitigate on-site land use impacts on mammal popultions and assemblages. Global Change Biology
<p>Zip folder conaining the data and code that support the findings of <em>Kuipers et al. (2023) Land use diversification may mitigate on-site land use impacts on mammal popultions and assemblages. Global Change Biology.</em></p> <p>The <em>Data_code.zip</em> folder contains four subfolders with the following files:</p> <ul> <li>Data_raw <ul> <li>AgriDiv_data.csv</li> <li>AgriDiv_metadata.docx</li> <li>Species_data.csv</li> <li>Species_metadata.docx</li> <li>Landscape_data.csv</li> <li>Landscape_metadata.docx</li> </ul> </li> <li>Data_derived <ul> <li>RIA_RSR_effect_sizes.csv</li> <li>MSA_effect_sizes.csv</li> </ul> </li> <li>Data_output <ul> <li>Response_estimation.csv</li> </ul> </li> <li>R_scripts <ul> <li>01_Effect_size_calculation.R</li> <li>02_Null_model_analysis.R</li> <li>03_Model_selection.R</li> <li>04_Model_analysis.R</li> <li>05_Response_estimation.R</li> <li>06_Figures.R</li> <li>README.md</li> </ul> </li> </ul>
Supplementary data for "Ecological assessment of combined sewer overflow management practices through the analysis of benthic and hyporheic sediment bacterial assemblages of an intermittent stream"
<p><strong>Supplementary data for the Pozzi <em>et al.</em> paper entitled "Ecological assessment of combined sewer overflow management practices through the analysis of benthic and hyporheic microbial assemblages and a tracking of exogenous bacterial taxa in a peri-urban intermittent stream".</strong></p> <p># Created by Dr Adrien C. MEYNIER POZZI on June, 29th, 2023<br> # Part of DOmic research project funded by the Agence de l’Eau - Rhône Méditerranée Corse [AE-RMC, Project 2020 0702 DOmic, 2020-2023], and of the DOmic extension funded by the EUR H2O'Lyon [ANR-17-EURE-0018] of Université de Lyon<br> # Part of the Chaudanne river long-term experiment site belonging to the Observatoire de Terrain en Hydrologie Urbaine (OTHU)<br> # Part of the work conducted in the team on Opportinistic Bacterial Pathogen in the Environment (BPOE) led by Dr. Benoit Cournoyer<br> # Samples were obtained in 2 campaigns, corresponding to periods before (2010-2011) or after (2018) the implementation of the 91/271/EEC European Directive that limited Combined-Sewer Overflow (CSO) discharges to the Chaudanne river<br> # Samples consisted in surface water, benthic and hyporheic sediments taken in run, riffle and pool geomorphologic features, either upstream or downstream the CSO outlet, plus positive and negative controls</p> <table> <tbody> <tr> <td><strong>Metadata. Name and description of data tables provided as supplementary information</strong></td> </tr> <tr> <td><strong>Data Name</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>Data S1. River hydrology variables and hydraulic gradients at surveyed transects</td> <td>Array to describe the hydrologic variables and gradients at the studied transects. Top line is header, second line is metadata for each recorded variable, and third line is the unit of the variable, if any.</td> </tr> <tr> <td>Data S2. Environmental variables (water physical-chemistry, nutrients, FIBs, MTEs, PAHs) with metadata</td> <td>An array to list environmental variables for all true samples (n=90) included in the study. Sample identifiers and dates are provided. First 8 rows list the CAS number, SANDRE number, unit, method, limit of quantification and norm for each variable, if any.</td> </tr> <tr> <td>Data S3. Hydrological indices and synthetic variables computed with ClustOfVar</td> <td>Hydrological indices computed for the river flow, precipitations and CSO overflows computed over a 3-week period preceding each sampling date.</td> </tr> <tr> <td>Data S4. Discharge events selected to compute CSO dilution ratios</td> <td>An array to describe CSO events included for the computation of the CSO dilution ratio (SI Data 6A) together with 6 tables and 3 figures (SI Data 6B to 6J) describing the CSO event ratio all year round over the studied period, as well as for events that occurred before or after the CSO was modified and during low flow or high flow season. In SI Data 6A, top line is header and second line is metadata for each recorded variable.</td> </tr> <tr> <td>Data S5. Raw environmental matrix for use in R</td> <td>An array to list experimental design and environmental variables for all true samples and controls. Several environmental variables were synthetized using the ClustOfVar method (Chavent et al (2012) 10.18637/jss.v050.i13). Format is directly usable in R software.</td> </tr> </tbody> </table> <p> </p>
Odonata Assemblage in Metropolitan Area of Puerto Rico (2018-2019, Wet and Dry Season)
Data comes from a project that aimed to identify the effects of urbanization on stream habitat quality and associated odonate assemblages in Puerto Rico. In this study, 16 streams along a rural to urban gradient in the San Juan Metropolitan Area were sampled. Each stream was characterized using the Stream Visual Assessment Protocol (SVAP) for Puerto Rico and by analyzing their surrounding land cover. A 100-m segment of each stream was surveyed to assess adult odonate richness and abundance during the rainy and dry seasons. Adults were identified visually, and their abundance was recorded. Data is a product of: Maldonado-Benítez, Mariani-Ríos & Ramírez (2022): Effects of urbanization on Odonata assemblages in tropical island streams in San Juan, Puerto Rico. International Journal of Odonatology, 25, 31–42 doi:10.48156/1388.2022.1917163
Ant Assemblages in Hemlock Removal Experiment at Harvard Forest since 2003 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-hfr/118/33. The abstract below was extracted from the Level 0 data package and is included for context: Ants comprise a considerable amount of animal biomass in terrestrial ecosystems and play major roles in ecological processes ranging from seed dispersal to soil turnover. Invasion by the hemlock woolly adelgid will transform late-successional hemlock forests into earlier successional mixed hardwood - white pine forests or red-maple wetlands. Understanding how ant assemblages vary in different habitat types allows for predictions of how hemlock decline could alter the composition of ant assemblages, with implications for a wide range of ecosystem processes. As part of the Hemlock Removal Experiment at the Simes Tract, we annually monitor ant species composition and abundance.
Ant Assemblages in Hemlock Removal Experiment at Harvard Forest since 2003 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/193/5, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-hfr/118/33. The abstract below was extracted from the Level 0 data package and is included for context: Ants comprise a considerable amount of animal biomass in terrestrial ecosystems and play major roles in ecological processes ranging from seed dispersal to soil turnover. Invasion by the hemlock woolly adelgid will transform late-successional hemlock forests into earlier successional mixed hardwood - white pine forests or red-maple wetlands. Understanding how ant assemblages vary in different habitat types allows for predictions of how hemlock decline could alter the composition of ant assemblages, with implications for a wide range of ecosystem processes. As part of the Hemlock Removal Experiment at the Simes Tract, we annually monitor ant species composition and abundance.
StreamFRE-Shrimp assemblages in Prieta Stream
Stream Flow Reduction Experiment (StreamFRE) shrimp assemblages in Prieta Stream. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Hyporheic diatom community assemblages from Von Guerard Stream, Taylor Valley, McMurdo Dry Valleys, Antarctica in January 2019
In this data package, we present diatom community assemblages from hyporheic sediments collected in January 2019 from six transects across Von Guerard Stream, Taylor Valley, Antarctica. These samples were collected to address questions about the retention and processing of particulate organic matter in the hyporheic zone of McMurdo Dry Valley streams. The six transects were located at pools, riffles, and meanders (three of each geomorphology type) along Von Guerard Stream and extended across the stream channel to the edges of the wetted zone, ranging from 6.6 to 13.6 m in length. At each sampling location, we collected subsurface sediment sample that was preserved in formalin directly after sample collection. We characterized diatom assemblages by counting a total of 300 diatom valves from each preserved diatom sample. This data package is associated with a complementary data package that contains hyporheic sediment chemistry for the same samples.
Online supplementary data linked to the publication "Aubenas-les-Alpes (S-E France). Part III – Last and final part of the mammalian assemblage with some comments on the palaeoenvironment and palaeobiogeography" doi:10.1016/j.annpal.2019.03.001
<p>Online supplementary appendix including the list of Oligocene localities and associated faunal lists compared to Aubenas-les-Alpes, and the size estimation of the non-predatory species for the construction of Fig.10.</p>
Fig. 5 in Seasonal and longitudinal variation in fish assemblage structure along an unregulated stretch of the Middle Uruguay River
Fig. 5. Detrended Correspondence Analysis (DCA) applied to ordinate samples according to variations in fish composition and abundance along the Uruguay River. Rectangles depict groups confirmed by a Multiple Response Permutation Procedure (Tab. 2). Sites: S1 = upstream; S6 = downstream. Seasons: Au= Autumn; Sp= Spring; Su= Summer and Wi= Winter.
Fig. 2 in Seasonal and longitudinal variation in fish assemblage structure along an unregulated stretch of the Middle Uruguay River
Fig. 2. Variation (mean ±standard deviation) in species richness and biomass (CPUEb/100m2) along the river channel (A and C) and among seasons (B and D), in the Middle Uruguay River. Sites: S1 = upstream; S6 = downstream. Different letters indicate statistical difference (p <0.05).
Fig. 3 in Organization of fish assemblages in blackwater Atlantic Forest streams
Fig. 3. RDA ordination biplot of the first and second RDA axes based on fish density (ind.m-2) of 31 blackwater mesohabitats. Vector lines in bold type indicate the relationship of the environmental variables to the ordination axis; the line's length is proportional to its relative significance. For species codes, see Tab. 3.
Fig. 2 in Organization of fish assemblages in blackwater Atlantic Forest streams
Fig. 2. Rarefaction curves calculated for each mesohabitat category (sand, leaf-litter and trunks), considering a total of 31 mesohabitats sampled in 13 blackwater streams of the alluvial plain of the Serra do Mar in the State of São Paulo. EstimateS 9.1 was used to plot species rarefaction curve (100 runs).
Figure 2. Combined species discovery curve for 726 in Canopy assemblages and species richness of planthoppers (Hemiptera: Fulgoroidea) in the Ecuadorian Amazon
Figure 2. Combined species discovery curve for 726 planthopper canopy fogging samples from Onkone Gare (three collecting years) including select estimators of diversity. Total observed morphospecies was 573, with 26% represented as singletons. The averaged value of the diversity estimators is 740. Curves for species observed and diversity estimators failed to reach an asymptote.
Fig. 8 in Optimal fishing samplers to reveal the morphological structure of a fish assemblage in a subtropical tidal flat
Fig. 8. Redundancy analysis (RDA): individual species-gear relationships explained by morphological shape variability, using incidence data. In blue, fishing gear acronyms: beach seine (BS), cast net (CN), fish trap (FT), hook and line (HL), inner encircling gillnet (EG1), large gillnet (LG), marginal encircling gillnet (EG2), otter trawl (OT), small gillnet (SG).
Fig. 4 in Optimal fishing samplers to reveal the morphological structure of a fish assemblage in a subtropical tidal flat
Fig. 4. Morphospace represented by shape variation of all species in the nine fishing gears grouped, using the relative warps: a. 1 and 2; b. 1 and 3. Acronyms: Anc tri, Anchoa tricolor; Bat sop, Bathygobius soporator; Bot oce, Bothus ocellatus; Cen par, Centropomus parallelus; Chi spi, Chilomycterus spinosus; Dia rho, Diapterus rhombeus; Elo sau, Elops saurus; Epi mar, Epinephelus marginatus; Hip rei, Hippocampus reidi; Lut ana, Lutjanus analis; Lut cya, Lutjanus cyanopterus; Mal del, Malacoctenus delalandii; Myr pun, Myrophis punctatus; Oph gom, Ophichthus gomesii; Pol vir, Polydactylus virginicus; Sca cri, Scartella cristata; Sco bra, Scomberomorus brasiliensis; Sel set, Selene setapinnis; Sel vom, Selene vomer; Sph tes, Sphoeroides testudineus; Str mar, Strongylura marina; Sym tes, Symphurus tesselatus; Tra myo, Trachinocephalus myops. Threatened species (Hip rei, Lut ana, Lut cya, Epi mar) are highlighted in red.
Fig. 20. Crematogaster sewellii Forel, 1891 in Taxonomy of the Crematogaster degeeri-species-assemblage in the Malagasy region (Hymenoptera: Formicidae)
Fig. 20. Crematogaster sewellii Forel, 1891, worker and queen. A-C. Worker (CASENT0120975). A. Full-face. B. Profile. C. Dorsal. D-F. Queen (CASENT0496779). D. Full-face. E. Profile. F. Dorsal.
Fig. 21. Crematogaster sewellii Forel, 1891 in Taxonomy of the Crematogaster degeeri-species-assemblage in the Malagasy region (Hymenoptera: Formicidae)
Fig. 21. Crematogaster sewellii Forel, 1891, male and distribution. A, C. Male (CASENT0317761). A. Full-face. C. Profile. B. Species distribution.
Fig. 17 in Taxonomy of the Crematogaster degeeri-species-assemblage in the Malagasy region (Hymenoptera: Formicidae)
Fig. 17. Crematogaster malahelo sp. nov., worker and distribution. A, C-D. Worker (CASENT0317768). A. Full-face. C. Profile. D. Dorsal. B. Species distribution.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.