Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,549
datasets available to search
ShareScore release 0.7.1
Dataset results
1,549 results for “invertebrate”
Figures 26-31 from: Markee A, Dikow T (2018) Taxonomic revision of the assassin-fly genus Microphontes Londt, 1994 (Insecta, Diptera, Asilidae). African Invertebrates 59(2): 195-237. https://doi.org/10.3897/afrinvertebr.59.30684
Figures 26-31 Microphontesjasonlondti sp. n.: 26 ♂ Holotype (NMSA-DIP-4768), dorsal (Morphbank #861816) 27 same, lateral (#861818) 28 same, head anterior (#861820) 29 ♀ Paratype (NMSA-DIP-74485), head anterior (#861832) 30 same, dorsal (#861828) 31 same, lateral (#861830). Scale bars: 5 mm (26–27, 30–31), 1 mm (28–29).
Figures 21-25 from: Markee A, Dikow T (2018) Taxonomic revision of the assassin-fly genus Microphontes Londt, 1994 (Insecta, Diptera, Asilidae). African Invertebrates 59(2): 195-237. https://doi.org/10.3897/afrinvertebr.59.30684
Figures 21-25 Microphontesgaiophanes sp. n. ♀ terminalia: 21USNMENT01384130 (cleared), dorsal (Morphbank #861803) 22 same, lateral (#861805) 23 same, ventral (#861807) 24USNMENT01384008, dorsal (Morphbank #861809) 25 same, lateral (#861811). Arrows highlight postero-paramedian T8 pores. Magnification: 120×.
Figures 1-4 from: Markee A, Dikow T (2018) Taxonomic revision of the assassin-fly genus Microphontes Londt, 1994 (Insecta, Diptera, Asilidae). African Invertebrates 59(2): 195-237. https://doi.org/10.3897/afrinvertebr.59.30684
Figures 1-4 Habitat photographs: 1–2 sparsely vegetated sand dune on the eastern edge of the Namib Sand Sea N of Solitaire, Namibia (23°34'22"S, 015°48'37"E) where Microphontesgaiophanes sp. n. was collected 3–4 slope of Elim Dune with Stipagostris sp. (Poaceae) on the eastern edge of the Namib Sand Sea W of Sesriem, Namibia (24°27'28"S, 015°46'37"E) where M.safra was collected. Photographs by T. Dikow.
Figure 72 from: Markee A, Dikow T (2018) Taxonomic revision of the assassin-fly genus Microphontes Londt, 1994 (Insecta, Diptera, Asilidae). African Invertebrates 59(2): 195-237. https://doi.org/10.3897/afrinvertebr.59.30684
Figure 72 Map of Namibia with elevational relief, Biodiversity Hotspots (sensu Conservation International) and distribution of Microphontes species occurring in Namibia (SimpleMappr 10599). Map data available in Google Earth KML file 10599 and also through GBIF (data-set http://www.gbif.org/dataset/4c13483d-a2ac-4c61-9087-c4e1a3c7b91d, DOI https://doi.org/10.15468/m2vwyh).
Figures 11-16 from: Markee A, Dikow T (2018) Taxonomic revision of the assassin-fly genus Microphontes Londt, 1994 (Insecta, Diptera, Asilidae). African Invertebrates 59(2): 195-237. https://doi.org/10.3897/afrinvertebr.59.30684
Figures 11-16 Microphontesgaiophanes sp. n.: 11 ♂ Paratype (USNMENT01384092) dorsal (Morphbank #861767) 12 same, lateral (#861769) 13 same, head anterior (#861771) 14 ♀ Paratype (USNMENT01384008) head anterior (#861474) 15 same, dorsal (#861470) 16 same, lateral (#861472). Scale bars: 5 mm (11–12, 15–16), 1 mm (13–14).
Figures 17-20 from: Markee A, Dikow T (2018) Taxonomic revision of the assassin-fly genus Microphontes Londt, 1994 (Insecta, Diptera, Asilidae). African Invertebrates 59(2): 195-237. https://doi.org/10.3897/afrinvertebr.59.30684
Figures 17-20 Microphontesgaiophanes sp. n. ♂ terminalia (cleared, USNMENT01384047): 17 dorsal (Morphbank #861794) 18 same, lateral (#861796) 19 same, ventral (#861798) 20 same, posterior (#861800, arrow highlights tip of phallus). Magnification: 120×.
Figure 71 from: Markee A, Dikow T (2018) Taxonomic revision of the assassin-fly genus Microphontes Londt, 1994 (Insecta, Diptera, Asilidae). African Invertebrates 59(2): 195-237. https://doi.org/10.3897/afrinvertebr.59.30684
Figure 71 Map of south-western South Africa with elevational relief, Biodiversity Hotspots (sensu Conservation International) and distribution of Microphontes species occurring in South Africa (SimpleMappr 10598). Map data available in Google Earth KML file 10598 and also through GBIF (data-set http://www.gbif.org/dataset/4c13483d-a2ac-4c61-9087-c4e1a3c7b91d, DOI https://doi.org/10.15468/m2vwyh).
Figure 5 from: Markee A, Dikow T (2018) Taxonomic revision of the assassin-fly genus Microphontes Londt, 1994 (Insecta, Diptera, Asilidae). African Invertebrates 59(2): 195-237. https://doi.org/10.3897/afrinvertebr.59.30684
Figure 5 Map of Southern Africa with elevational relief, Biodiversity Hotspots (sensu Conservation International) and distribution of Microphontes specimens studied in 1994 and now (SimpleMappr 10597). Map data available in Google Earth KML file 10597 and also through GBIF (data-set http://www.gbif.org/dataset/4c13483d-a2ac-4c61-9087-c4e1a3c7b91d, DOI https://doi.org/10.15468/m2vwyh).
Figures 6-8 from: Markee A, Dikow T (2018) Taxonomic revision of the assassin-fly genus Microphontes Londt, 1994 (Insecta, Diptera, Asilidae). African Invertebrates 59(2): 195-237. https://doi.org/10.3897/afrinvertebr.59.30684
Figures 6-8 Microphontesericfisheri sp. n. (♂ Holotype, USNMENT01115122): 6 dorsal (Morphbank #861782) 7 lateral (#86178) 8 head anterior (#861787). Scale bar: 5 mm (6–7), 1 mm (8).
Supplementary material 2 from: Villacorta-Rath C, Lach L, Andrade-Rodriguez N, Burrows D, Gleeson D, Trujillo-González A (2023) Invasive terrestrial invertebrate detection in water and soil using a targeted eDNA approach. NeoBiota 83: 71-89. https://doi.org/10.3897/neobiota.83.98898
Additional qPCR results
Supplementary material 1 from: Villacorta-Rath C, Lach L, Andrade-Rodriguez N, Burrows D, Gleeson D, Trujillo-González A (2023) Invasive terrestrial invertebrate detection in water and soil using a targeted eDNA approach. NeoBiota 83: 71-89. https://doi.org/10.3897/neobiota.83.98898
Invasive terrestrial invertebrate detection in water and soil using a targeted eDNA approach
Supplementary material 1 from: Villet MH (2023) #SideHustle: Jason G. H. Londt's contribution to holdings of the South African Cicadidae (Hemiptera, Auchenorrhyncha) in the KwaZulu-Natal Museum. In: Dikow T, Williams K, Midgley J (Eds) Festschrift for Jason Gilbert Hayden Londt. African Invertebrates 64(2): 85-93. https://doi.org/10.3897/afrinvertebr.64.100851
Londt Cicadidae - specimen metadata
Supplementary material 1 from: Salazar-Buenaño F, Guevara D, Barragán A, Carvajal V, Donoso DA (2023) Catalog of the invertebrate type specimens hosted at the Pontificia Universidad Católica del Ecuador and Escuela Politécnica Nacional natural history collections. ZooKeys 1169: 15-45. https://doi.org/10.3897/zookeys.1169.102030
Type specimen catalog with original information from their labels
Reference sequence database for eDNA metabarcoding of San Francisco estuary fishes and invertebrates
<p>Environmental DNA (eDNA) methods complement traditional monitoring and can be configured to detect multiple species simultaneously. One such approach, eDNA metabarcoding, uses high-throughput DNA sequencing to indirectly detect many different organisms, spanning broad taxonomic boundaries, from water samples. We are optimizing a non-invasive, low cost eDNA metabarcoding protocol to be used in conjunction with existing monitoring programs. One resource that is currently lacking for metabarcoding studies in general, including those in the San Francisco Estuary (SFE), is a comprehensive database of DNA barcode reference sequences. Without this foundational data, many species go undetected or misidentified in metabarcoding studies. To meet this need, we generated a custom barcode sequence database for the SFE by DNA sequencing and mining of public DNA seqeunce data for estuarine and freshwater species of interest to monitoring programs and ecological studies. Here we present custom reference sequence databases for three barcodes: Cytochrome C Oxidase I (COI), 12S MiFish and 16S.</p>
Fig. 6 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 6. RDA plot showing the similarity among sites during the different seasons, based on the various community traits (metrics) with physico-chemical variables superimposed. This tri-plot describes 56.2 % of the variation in the data, where 38.6 % is displayed on the first axis and 17.6 % on the second axis. Only metrics of which more than 31 % is explained by the model and the 14 most significant variables are visualised.
Data from: Direct contribution of invertebrate holobionts to methane release from coastal sediments
<p>In this study, we incubated 103 animals specimens equivalent to 19 macrofaunal species to quantify holobiont-associated methane (CH<sub>4</sub>) fluxes and metabolic processes [oxygen (O<sub>2</sub>) - respiration and ammonium (NH<sub>4</sub><sup>+</sup>) - excretion rates]. The specific goals were to quantify holobionts CH<sub>4</sub> production/uptake and to establish correlations between CH<sub>4</sub> fluxes and environmental factors (e.g., salinity).</p> <p>Invertebrates were collected in 4 coastal systems and incubated in 22 mL glass microcosms filled with 0.22 µm twice-filtered <em>in situ</em> water. Individual and Mass-standardized CH<sub>4</sub> Production Rates (IPR and MPR, respectively), O<sub>2</sub> Respiration Rates (IRR and MRR) and NH<sub>4</sub><sup>+ </sup>Excretion Rates (IER and MER) were measured in 103 animals’ incubations.</p> <p>1. IRR were calculated from linear regression analysis of the solute (O<sub>2</sub>) versus time equation: </p> <p> <span class="math-tex">\(IRR=(Reg.Slope × V)/N\)</span></p> <p><em> where IRR (µmol O<sub>2</sub> ind.<sup>−1</sup> day<sup>−1</sup>) is the respiration of the chemical species O<sub>2</sub>; Reg.Slope is the slope of the regression (µmol O<sub>2</sub> L<sup>−1</sup> day<sup>−1</sup>); V (L) is the water volume in the glass microcosm; N is the number of incubated animals per microcosm.</em></p> <p>2. IER and IPR were calculated from the difference in concentrations (NH<sub>4</sub><sup>+</sup> and CH<sub>4</sub>) in the water using the equation:</p> <p> <span class="math-tex">\(IER and IPR = ((C_f-C_i )×V)/(N×t)\)</span></p> <p><em> where IER and IPR (µmol ind.<sup>−1</sup> day<sup>−1</sup> and nmol ind.<sup>−1</sup> day<sup>−1</sup>) are the excretion or production of the chemical species (NH<sub>4</sub><sup>+</sup> or CH<sub>4</sub>); C<sub>f</sub> and C<sub>i</sub> (µmol or nmol L<sup>−1</sup>) are the final and initial concentrations of the chemical species; V (L) is the water volume in the glass microcosm; N is the number of incubated animals per microcosm; and t (days) is the incubation time. Positive values represent productions while negative values represent uptake.</em></p> <p>Same equations were used to calculated mass-standardized rates, but instead of <em>N</em> the total animal biomass (g<sub>dw</sub>) was used. Animals’ biomass was determined as dry weight (DW) or as dry weight shell free (DWSF) for bivalves, after the desiccation at 70°C until constant mass. Water temperature and salinity were measured in situ with a multiple probe (556 MPS, YSI). Rates are reported as average ± standard error.</p>
Data from: A replicated climate change field experiment reveals rapid evolutionary response in an ecologically important soil invertebrate
Open the record for dataset details and reuse information.
Contrasting effects of tree origin and urbanization on invertebrate abundance and tree phenology
Open the record for dataset details and reuse information.
Growth, metabolism, anatomy, behaviour, invertebrate drift
Open the record for dataset details and reuse information.
Data and code for a high-resolution summary of Cambrian to Early Triassic marine invertebrate biodiversity
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.