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1,549 results for “invertebrate”
Partitioning Seed Dispersal Rate Amongst Vertebrates Vs Invertebrates Along a Land-Use Gradient
<b>Description: </b><p>Seed perdation and dispersal experiments</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/72"><b>Partitioning Seed Dispersal Rate Amongst Vertebrates Vs Invertebrates Along a Land-Use Gradient</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=77">here</a></p><p><b>Data worksheets: </b>There are 1 data worksheets in this dataset:</p><ol><li><p><b>Seed removal experiments</b> (Worksheet Data)</p><p>Dimensions: 904 rows by 13 columns</p><p>Description: Experimental seed removal trials. Each trial consisted of 20 pumpkin seeds being placed on a plate, with seed fates ascertained the following day.</p><p>Fields: </p><ul><li><b>Location</b>: SAFE project sample site (Field type: Location)</li><li><b>Point </b>: SAFE project sample site (Field type: ID)</li><li><b>Date</b>: Date seeds were placed in field (Field type: Date)</li><li><b>Treatment</b>: Experimental treatment (Field type: Categorical)</li><li><b>NPlacement</b>: Unknown variable (Field type: ID)</li><li><b>RemainUneat</b>: How many seeds remained on the plate and had no evidence of having been eaten? (Field type: Numeric)</li><li><b>RemovUneat</b>: How many seeds were removed from the plate and had no evidence of having been eaten? (Field type: Numeric)</li><li><b>RemainEat</b>: How many seeds remained on the plate but had evidence of having been eaten? (Field type: Numeric)</li><li><b>RemovEat</b>: How many seeds were removed from the plate and also had evidence of being eaten? (Field type: Numeric)</li><li><b>RemovUnknown</b>: How many seeds were removed from the plate and had an unknown fate? (Field type: Numeric)</li><li><b>Rain</b>: How heavily did it rain last night? 0 being no rain and 5 being torrential rain (Field type: Numeric)</li><li><b>TreatmentSuccessFail</b>: Was the treatment successful? (Field type: Categorical)</li></ul><br></li></ol><p><b>Date range: </b>2013-05-07 to 2013-07-27</p><p><b>Latitudinal extent: </b>4.6350 to 4.7523</p><p><b>Longitudinal extent: </b>116.9632 to 117.5934</p>
Movement patterns of invertebrates in tropical rainforest
<b>Description: </b><p>Community Data for directional malaise trapping across and along rivers from around the SAFE landscape</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/20"><b>Movement patterns of invertebrates in tropical rainforest</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=266">here</a></p><p><b>Files: </b>This consists of 1 file: Invert_Movement_Dataset_JW.xlsx</p><p><b>Invert_Movement_Dataset_JW.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Community Data for directional malaise trapping</b> (described in worksheet DF)</p><p>Description: Community Data for directional malaise trapping above rivers</p><p>Number of fields: 60</p><p>Number of data rows: 82</p><p>Fields: </p><ul><li><b>SAFESiteCode</b>: location code (Field type: Location)</li><li><b>Orientation</b>: trap orientation (Field type: Categorical)</li><li><b>Date_Out</b>: trap set date (Field type: Date)</li><li><b>Date_In</b>: trap collection date (Field type: Date)</li><li><b>Width_River_Along</b>: width of river at along trap (Field type: Numeric)</li><li><b>Width_River_Across</b>: width of river at across trap (Field type: Numeric)</li><li><b>Width_River_Middle</b>: width of river at the midpoint between the traps (Field type: Numeric)</li><li><b>Width_River_Average</b>: average river width (of three previous columns) (Field type: Numeric)</li><li><b>Height_Along</b>: height of across trap above the river (Field type: Numeric)</li><li><b>Height_Across</b>: height of along trap above the river (Field type: Numeric)</li><li><b>Rainfall</b>: rainfall collected (Field type: Numeric)</li><li><b>Forest_Type</b>: Surrounding forest type (Field type: Categorical)</li><li><b>Canopy_Across_L</b>: canopy cover (% from densiometer) on the left side (facing upstream) of the across trap (Field type: Numeric)</li><li><b>Canopy_Across_R</b>: canopy cover (% from densiometer) on the right side (facing upstream) of the across trap (Field type: Numeric)</li><li><b>Canopy_Across_LR</b>: average canopy cover (% from densiometer) on the left and right sides (facing upstream) of the across trap (Field type: Numeric)</li><li><b>Canopy_Across_River</b>: canopy cover (% from densiometer) above the river at the across trap (Field type: Numeric)</li><li><b>Canopy_Along_L</b>: canopy cover (% from densiometer) on the left side (facing upstream) of the along trap (Field type: Numeric)</li><li><b>Canopy_Along_R</b>: canopy cover (% from densiometer) on the right side (facing upstream) of the along trap (Field type: Numeric)</li><li><b>Canopy_Along_LR</b>: average canopy cover (% from densiometer) on the left and right sides (facing upstream) of the along trap (Field type: Numeric)</li><li><b>Canopy_Along_River</b>: canopy cover (% from densiometer) above the river at the along trap (Field type: Numeric)</li><li><b>Canopy_Middle_L</b>: canopy cover (% from densiometer) on the left side (facing upstream) of the midpoint between traps (Field type: Numeric)</li><li><b>Canopy_Middle_R</b>: canopy cover (% from densiometer) on the right side (facing upstream) of the midpoint between traps (Field type: Numeric)</li><li><b>Canopy_Middle_LR</b>: average canopy cover (% from densiometer) on the left and right sides (facing upstream) of the midpoint between traps (Field type: Numeric)</li><li><b>Canopy_Middle_River</b>: canopy cover (% from densiometer) above the river at the midpoint between traps (Field type: Numeric)</li><li><b>Canopy_Average_L</b>: left bank canopycover average (% from densiometer) (Field type: Numeric)</li><li><b>Canopy_Average_R</b>: right bank canopycover average (% from densiometer) (Field type: Numeric)</li><li><b>Canopy_Average_LR</b>: both banks canopycover average (% from densiometer) (Field type: Numeric)</li><li><b>Canopy_Average_River</b>: river canopycover average (% from densiometer) (Field type: Numeric)</li><li><b>Basal_Area_Across_L</b>: across trap, left bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Across_R</b>: across trap, right bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Across</b>: across trap, average of both banks, tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Along_L</b>: along trap, left bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Along_R</b>: along trap, right bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Along</b>: along trap, average of both banks, tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Middle_L</b>: midpoint, left bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Middle_R</b>: midpoint, right bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Middle</b>: midpoint,both banks, tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area</b>: average tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Eph_Ab</b>: Ephemeroptera (Field type: Abundance)</li><li><b>Odo_Ab</b>: Odonata (Field type: Abundance)</li><li><b>Ple_Ab</b>: Plecoptera (Field type: Abundance)</li><li><b>Ort_Ab</b>: Orthoptera (Field type: Abundance)</li><li><b>Der_Ab</b>: Dermaptera (Field type: Abundance)</li><li><b>Dic_Ab</b>: Blattodea (Field type: Abundance)</li><li><b>Iso_Ab</b>: Isoptera (Field type: Abundance)</li><li><b>Hem_Ab</b>: Hemiptera (Field type: Abundance)</li><li><b>Thy_Ab</b>: Thysanoptera (Field type: Abundance)</li><li><b>Col_Ab</b>: Coleoptera (Field type: Abundance)</li><li><b>Mec_Ab</b>: Mecoptera (Field type: Abundance)</li><li><b>Dip_Ab</b>: Diptera (Field type: Abundance)</li><li><b>Lep_Ab</b>: Lepidoptera (Field type: Abundance)</li><li><b>Tri_Ab</b>: Trichoptera (Field type: Abundance)</li><li><b>Hym_Ab</b>: Hymenoptera (Field type: Abundance)</li><li><b>Uni_Ab</b>: Unidentified individuals (Field type: Numeric)</li><li><b>Abundance</b>: Total Abundance (Field type: Numeric)</li><li><b>AbundanceUni</b>: Total Abundance without unidentified individuals (Field type: Numeric)</li><li><b>Staph_Ab</b>: subset of coleoptera that were staphylinids (Field type: Abundance)</li><li><b>Richness</b>: species richness (Field type: Numeric)</li><li><b>Mass</b>: total mass (Field type: Numeric)</li><li><b>Mass_Outlier</b>: total mass without individuals weighing over 0.25g (Field type: Numeric)</li></ul></li></ol><p><b>Date range: </b>2015-05-18 to 2015-07-14</p><p><b>Latitudinal extent: </b>4.6358 to 4.7342</p><p><b>Longitudinal extent: </b>117.4576 to 117.6411</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Insecta<br> -  -  - Blattodea<br> -  -  - Coleoptera<br> -  -  -  - Staphylinidae<br> -  -  - Dermaptera<br> -  -  - Diptera<br> -  -  - Ephemeroptera<br> -  -  - Hemiptera<br> -  -  - Hymenoptera<br> -  -  - Isoptera<br> -  -  - Lepidoptera<br> -  -  - Mecoptera<br> -  -  - Odonata<br> -  -  - Orthoptera<br> -  -  - Plecoptera<br> -  -  - Thysanoptera<br> -  -  - Trichoptera<br></div><p></p>
Invertebrate activity data from an experiment in Malaysian Borneo, 2014-16 [HMTF]
<b>Description: </b><p>This resource comprises a time series dataset of ant and other invertebrate abundance measured fortnightly at bait monitoring cards on an experimental plot in the Maliau Basin Conservation Area, Malaysian Borneo. The resource includes data regarding the amount of food resource removed from experimental plots when either ants or vertebrates were excluded from the resource. The data were collected to assess the roles that the different groups (ants, invertebrates, vertebrates) play in ecosystem function, and the capacity for functional redundancy within and between these groups. Data were collected between 2014 and 2016 during a project run by the University of Liverpool, which was part of the NERC Human-modified tropical forest (HMTF) Programme.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/54"><b>Biodiversity and land-use impacts on tropical ecosystem function (BALI): Experimental manipulations of biodiversity at SAFE</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>UK NERC-funded Biodiversity And Land-use Impacts on Tropical Ecosystem Function (BALI) consortium (Standard grant, NERC grant NE/L000016/1)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (Research licence na)</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3265748">here</a></p><p><b>Files: </b>This consists of 1 file: Ant_Monitoring.xlsx</p><p><b>Ant_Monitoring.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>Ant monitoring data</b> (described in worksheet Ant_Monitoring_Data)</p><p>Description: ant count taken on bait cards at an experimental plot</p><p>Number of fields: 4</p><p>Number of data rows: 18296</p><p>Fields: </p><ul><li><b>Date</b>: Date cards were collected? (Field type: Date)</li><li><b>Plot</b>: Plot in the Maliau basin (Field type: Location)</li><li><b>Treatment</b>: Refers to ant or termite exclusion, or control (Field type: Categorical)</li><li><b>Score</b>: Number of ants (Field type: Numeric trait)</li></ul></li><li><p><b>Non ant invertebrate data </b> (described in worksheet Non_Ant_Invertebrate_Data)</p><p>Description: non ant count taken on bait monitoring cards</p><p>Number of fields: 12</p><p>Number of data rows: 463</p><p>Fields: </p><ul><li><b>Date</b>: Date cards were collected? (Field type: Date)</li><li><b>Plot</b>: Plot in the Maliau basin (Field type: location)</li><li><b>Treatment</b>: Refers to ant or termite exclusion, or control (Field type: categorical)</li><li><b>Wasp</b>: The score used to estimate the numbers of inverts observed on the bait cards (Field type: Numeric trait)</li><li><b>Cricket</b>: The score used to estimate the numbers of inverts observed on the bait cards (Field type: Numeric trait)</li><li><b>Fly</b>: The score used to estimate the numbers of inverts observed on the bait cards (Field type: Numeric trait)</li><li><b>Springtail</b>: The score used to estimate the numbers of inverts observed on the bait cards (Field type: Numeric trait)</li><li><b>Beetle</b>: The score used to estimate the numbers of inverts observed on the bait cards (Field type: Numeric trait)</li><li><b>Cockroach</b>: The score used to estimate the numbers of inverts observed on the bait cards (Field type: Numeric trait)</li><li><b>Spider</b>: The score used to estimate the numbers of inverts observed on the bait cards (Field type: Numeric trait)</li><li><b>Harvestman</b>: The score used to estimate the numbers of inverts observed on the bait cards (Field type: Numeric trait)</li><li><b>Sum</b>: The score used to estimate the numbers of inverts observed on the bait cards (Field type: Numeric)</li></ul></li><li><p><b>Percentage of bait removed </b> (described in worksheet Percentage_Bait_Removed_Data)</p><p>Description: percentage of bait removed</p><p>Number of fields: 10</p><p>Number of data rows: 377</p><p>Fields: </p><ul><li><b>Date_put_out</b>: Date the bait was placed (Field type: Date)</li><li><b>Date_collected</b>: Date the bait was collected (Field type: Date)</li><li><b>rep</b>: Replicate (Field type: Replicate)</li><li><b>plot</b>: Plot used in the Maliau basin (Field type: Location)</li><li><b>plot_treat</b>: Plot treatment (Field type: Categorical)</li><li><b>bait</b>: Bait used (Field type: Categorical)</li><li><b>cage_treat</b>: Cage structure (Field type: Categorical)</li><li><b>start_weight</b>: Weight of the bait before being placed in the field (Field type: Numeric)</li><li><b>end_weight</b>: Weight of the bait after being placed in the field (Field type: Numeric)</li><li><b>perc_gone</b>: Percentage of the bait consumed (Field type: Numeric)</li></ul></li></ol><p><b>Date range: </b>2014-12-04 to 2017-03-15</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Arachnida<br> -  -  - Araneae<br> -  -  - Opiliones<br> -  - Entognatha<br> -  -  - Collembola<br> -  - Insecta<br> -  -  - Blattodea<br> -  -  - Coleoptera<br> -  -  - Diptera<br> -  -  - Hymenoptera<br> -  -  - Orthoptera<br></div><p></p>
Distance matrices of an aquatic invertebrate dataset on the Rhône river basin
<p>Environmental distance matrices, community dissimilarity matrices and spatial distances computed on an aquatic invertebrate dataset. More information in the metadata file.</p>
Figure 2 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 2. Pimelia sp. larva.
Figure 5 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 5. Muscidae pupae.
Figure 4 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 4. Elater sp. larva.
Figure 6 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 6. Enchytraeidae (Oligochaeta) sample.
Figure 7 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 7. Myrmeleontidae.
Figure 3 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 3. Elater sp. larva in the egg.
Invertebrates of the Salish Sea
A database of hundreds of species of marine invertebrates found in the northeastern Pacific ocean, especially those near Walla Walla University__s Rosario Beach Marine Laboratory in Anacortes, Washington. The laboratory is on Fidalgo Island, one of the San Juan Islands in the Salish Sea, north of Seattle, Washington. The database includes descriptions of species from all the phyla of commonly observed marine invertebrates in the area. While major emphasis is placed on invertebrates large enough to be easily seen,the database contains many photographs of microscopic structures which help in identifying or understanding the species. Linked to a glossary of major terms. <p></p>http://rosario.wallawalla.edu/inverts
Trait Spreadsheet to DwCA: Habitat data for aquatic invertebrates
<p></p>https://eol-jira.bibalex.org/browse/DATA-1882<p></p>Created: 2023-06-29 11:54
Trait Spreadsheet to DwCA: Invertebrate phenology
<p></p>https://eol-jira.bibalex.org/browse/DATA-1882<p></p>Created: 2023-06-29 11:26
Trait Spreadsheet to DwCA: Habitat data for aquatic invertebrates
<p></p>https://eol-jira.bibalex.org/browse/DATA-1882<p></p>Updated: 2023-06-29 11:40
It's a wormy world: Meta-analysis reveals several decades of change in the global abundance of the parasitic nematodes Anisakis spp. and Pseudoterranova spp. in marine fishes and invertebrates
<p>The Anthropocene has brought substantial change to ocean ecosystems, but whether this age will bring more or less marine disease is unknown. In recent years, the accelerating tempo of epizootic and zoonotic disease events has made it seem as if disease is on the rise. Is this apparent increase in disease due to increased observation and sampling effort, or to an actual rise in the abundance of parasites and pathogens? We examined the literature to track long-term change in the abundance of two parasitic nematode genera with zoonotic potential: <em>Anisakis</em> spp. and <em>Pseudoterranova</em> spp. These anisakid nematodes cause the disease anisakidosis and are transmitted to humans in undercooked and raw marine seafood. A total of 123 papers published between 1967 and 2017 met our criteria for inclusion, from which we extracted 755 host–parasite–location–year combinations. Of these, 69.7% concerned <em>Anisakis</em> spp. and 30.3% focused on <em>Pseudoterranova</em> spp. Meta-regression revealed an increase in <em>Anisakis</em> spp. abundance (average number of worms/ fish) over a 53 year period from 1962 to 2015 and no significant change in <em>Pseudoterranova</em> spp. abundance over a 37 year period from 1978 to 2015. Standardizing changes to the period of 1978–2015, so that results are comparable between genera, we detected a significant 283-fold increase in <em>Anisakis</em> spp. abundance and no change in the abundance of <em>Pseudoterranova</em> spp. This increase in <em>Anisakis</em> spp. abundance may have implications for human health, marine mammal health, and fisheries profitability.</p>
Data from: Urban street lighting differentially affects community attributes of airborne and ground-dwelling invertebrate assemblages
<p><span>The introduction of artificial light at night (ALAN) into natural and urbanised landscapes is a known and highly pervasive disruptor of invertebrate communities. However, the effect of variation in intensity and spectra of ALAN on invertebrate communities inhabiting different spatial niches is little understood. Further, the remarkable ability of ALAN to continue to disrupt biodiversity even in chronically-illuminated urban landscapes is not often acknowledged. </span></p> <p><span>Here, we simultaneously sampled airborne and ground-dwelling invertebrate assemblages under and between urban streetlights to explore the effects on community composition and abundance of a) proximity to decadal (i.e long-illuminated) nocturnal street lighting and b) variation in the spectral output of light. </span></p> <p><span>The two assemblages responded differently. For airborne invertebrates, night-time abundance doubled, and night-time assemblage composition was significantly different for traps under, compared with between, streetlights. These differences in abundance were not affected by streetlight intensity, and were absent in day samples, suggesting that even weak ALAN may be causing short-term redistribution of nocturnal invertebrates. Further, the abundance (but not composition) effects of ALAN on airborne invertebrates increased when the streetlights emitted a higher proportion of short-wavelength light. </span></p> <p><span>In contrast, for ground-dwelling invertebrates, we found only marginal effects of proximity and spectrum of lighting on abundance and no effect on assemblage composition. However, more intense streetlighting reduced abundance and altered composition at traps both under and between lights. </span></p> <p><span><i>Synthesis and Applications: </i>Public lighting managers must consider ALAN impacts on invertebrate communities not only when introducing ALAN to naïve environments, but also when changing lighting in areas that are highly urbanised and exposed to decades of artificial light at night. Further, lighting proposals and environmental monitoring of invertebrate communities must take into account effects on both ground-dwelling and airborne assemblages, as these may respond very differently to the presence, intensity and spectrum of ALAN. </span></p>
Fig. 3 in Invertebrates found in underground shelters of western Bohemia. II. Hoverflies (Diptera: Syrphidae)
Fig. 3: The records of hibernating Eristalis tenax in western Bohemia and the Bohemian Forest.
Fig. 2 in Invertebrates found in underground shelters of western Bohemia. II. Hoverflies (Diptera: Syrphidae)
Fig. 2: Eristalis tenax at the locality Podhradí. Photo: Libor Dvořák.
Fig. 1 in Invertebrates found in underground shelters of western Bohemia. II. Hoverflies (Diptera: Syrphidae)
Fig. 1: Eristalis tenax at the locality Chanovec. Photo: Oldřich Vojtěch.
Diversity mediates the responses of invertebrate density to duration and frequency of rivers' annual drying regime
<p>Predicting the impacts of global change on highly dynamic ecosystems requires a better understanding of how communities respond to disturbance duration, frequency and timing. Intermittent rivers and ephemeral streams are dynamic ecosystems that are recognized as the most common fluvial ecosystem globally. The complexity of the drying process can give rise to different annual and antecedent hydrological conditions, but their effect on aquatic communities remains unclear. Here, using aquatic invertebrates from 33 streams across a flow-intermittence gradient, we assessed how annual (drying duration and frequency) and recent drying characteristics (duration of the last dry period and flowing duration since the last rewetting) affect the density and diversity metrics of communities and trophic groups while controlling for other key abiotic factors (dissolved oxygen and altitude). We characterized invertebrate communities using taxonomy and functional traits to capture biological features that increase vulnerability to drying. In addition, using structural equation modelling (SEM), we evaluated pathways by which drying characteristics directly impact invertebrate density and whether diversity indirectly mediates such relationships. We show that drying frequency drove reductions in diversity at the community level and within trophic groups, whereas both the drying duration and frequency had a negative influence on density metrics. Reductions in taxonomic richness were linked to increased annual drying duration, whereas functional diversity declined in response to annual drying frequency. Filterer, predator and shredder trophic groups exhibited the strongest negative responses to drying. Recent drying characteristics had a minor effect on density and diversity metrics. Our SEM results demonstrated that diversity mediates the negative impacts of annual drying duration and frequency on invertebrate density through reductions in their taxonomic richness and functional diversity. Our results underscore the importance of considering multiple drying characteristics together with the interdependence of density and diversity to better anticipate drying responses in freshwater ecosystems.</p>
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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.