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.
6,771
datasets available to search
ShareScore release 0.7.1
Dataset results
6,771 results for “freshwater”
Fig. 9 in Some nematodes from freshwater fishes in central Africa
Fig. 9. Synodontisia thelastomoides Petter, Vassiliadẻs et Troncy, 1972 from Synodontis acanthomias Boulenger, scanning electron mi- crographs. A, B – cephalic end of male, apical and lateral views, respectively; C – region of cloaca and anterior part of tail, lateral view; D – region of cloaca, subventral view (arrows indicate subventral and lateral postanal papillae); E – median pair of postanal papillae (see arrows) on ventral caudal lobe situated some distance posterior to cloaca; F – body of male with distinct lateral alae, lateral view. Abbreviations: a – amphid; b – cephalic papilla; c – cephalic lamella; d – genital cone; e – pair of preanal papillae; f – postcloacal region with two pairs of postanal papillae; g – ventral caudal lobe bearing median pair of postanal papillae; h – cloacal aperture.
Fig. 28 in Some nematodes from freshwater fishes in central Africa
Fig. 28. Spinitectus polli Campana-Rouget, 1961 from Synodontis decorus Boulenger, scanning electron micrographs. A – anterior end of male, sublateral view; B – cephalic end of male, apical view; C – mouth, apical view (arrow indicates three pores); D – cephalic end of female, apical view (pseudolabia destroyed); E – anterior end of body, sublateral view; F – posterior end of male with distinct ventral precloacal cuticular ridges; G – caudal end of male, ventral view. Abbreviations: a – amphid; b – cephalic papilla; c – sublabium; d – pseudolabium; e – cloaca.
Fig. 21. Quimperia lanceolata Gendre, 1926 in Some nematodes from freshwater fishes in central Africa
Fig. 21. Quimperia lanceolata Gendre, 1926 from Ctenopoma cf. kingsleyae Günther, scanning electron micrographs of male. A – posterior end of body, lateral view; B – tail, lateral view (arrows indicate lateral postanal papillae). Abbreviations: c – cloacal aperture; s – ventral precloacal sucker.
Fig. 18 in Some nematodes from freshwater fishes in central Africa
Fig. 18. Gendria sp. from Pantodon buchholzi Peters, scanning electron micrographs of male. A – cephalic end, apical view; B – mouth, apical view; C – mouth with visible circumoral row of denticles, subapical view; D – deirid. Abbreviations: a – amphid; b – cephalic papilla.
Fig. 6 in Some nematodes from freshwater fishes in central Africa
Fig. 6. Cithariniella khalili Petter, Vassiliadẻs et Troncy, 1972 from Synodontis acanthomias Boulenger. A – anterior end of young female, lateral view; B, C – cephalic end, lateral and apical views, respectively; D – spicule and gubernaculum, lateral view; E – posterior end of young female, lateral view; F – posterior end of male, lateral view; G – distribution of caudal papillae in region of cloaca, ventral view; H – last pair of postcloacal papillae, ventral view; I – egg (only basal parts of filaments illustrated).
Fig. 12 in Some nematodes from freshwater fishes in central Africa
Fig. 12. Gendria longispiculata sp. n. from Schilbe grenfelli (Boulenger), scanning electron micrographs of male. A – posterior end of body, lateral view; B – subventral genital papilla located anterior to ventral sucker; C, D – caudal end, lateral and ventral views, respectively (arrows indicate genital papillae). Abbreviations: c – cloacal opening; d – ventral sucker; m – median precloacal papilla.
Fig. 5 in Some nematodes from freshwater fishes in central Africa
Fig. 5. Falcaustra piscicola (von Linstow, 1907) from Distichodus lusosso Schilthuis, scanning electron micrographs of male. A, B – cephalic end, sublateral and apical views, respectively; C – tail, subventral view (arrow indicates phasmid); D – detail of mouth, apical view; E – posterior end of body, ventral view; F – tail, ventral view. Abbreviations: a – amphid; b – cephalic papilla; c – lateral postanal papilla; e – median unpaired preanal papilla.
Fig. 17 in Some nematodes from freshwater fishes in central Africa
Fig. 17. Gendria sp. from Pantodon buchholzi Peters, scanning electron micrographs of male. A – anterior end, subventral view (arrow indicates lateral ala); B – same, lower magnification; C – anterior end, lateral view (arrow indicates lateral ala); D – cephalic end, subapical view from lateral side (arrow indicates protruding dorsal oesophageal tooth); E – cephalic end, subapical view oriented dorsoventrally. Abbreviations: a – amphid; b – cephalic papilla; c – deirid; e – excretory pore.
Fig. 15 in Some nematodes from freshwater fishes in central Africa
Fig. 15. Gendria sanghaensis sp. n. from Schilbe marmoratus Boulenger, scanning electron micrographs. A – tail of male, ventrolateral view (arrow indicates phasmid); B – median precloacal papilla. Abbreviation: e – cloacal aperture.
Fig. 20. Quimperia lanceolata Gendre, 1926 in Some nematodes from freshwater fishes in central Africa
Fig. 20. Quimperia lanceolata Gendre, 1926 from Ctenopoma cf. kingsleyae Günther, scanning electron micrographs. A, B – cephalic end of male, subdorsal and apical views; C – cephalic end of male with initiating lateral alae, subdorsal view; D – posterior end of male, ventrolateral view (arrow indicates phasmid); E – anterior end of male with distinct lateral alae, subdorsal view; F – deirid situated just posterior to posterior end of lateral ala, sublateral view; G – posterior end of male, ventral view (arrows indicate preanal papillae). Abbreviations: a – amphid; b – submedian double cephalic papilla; c – lateral ala; d – deirid; e – cloacal aperture; f – median precloacal papilla; g – ventral precloacal sucker.
Fig. 24 in Some nematodes from freshwater fishes in central Africa
Fig. 24. Dujardinascaris malapteruri (Baylis, 1923) from Malapterurus monsembeensis Roberts, female. A – anterior end of body, lateral view; B, C – cephalic end, dorsal and subventral views, respectively; D – tail, lateral view; E – egg.
Fig. 27 in Some nematodes from freshwater fishes in central Africa
Fig. 27. Spinitectus polli Campana-Rouget, 1961 from Synodontis decorus Boulenger. A – anterior end of gravid female, lateral view; B – same, higher magnification; C – cephalic end of male, apical view; D – mouth, apical view; E – tail of male, lateral view; F – tail of female, ventral view; G – posterior end of female, lateral view; H – posterior end of male, lateral view; I – caudal end of male, ventral view; J – egg.
Fig. 26. A, B in Some nematodes from freshwater fishes in central Africa
Fig. 26. A, B – Dujardinascaris sp. third-stage larva from Coptodon tholloni (Sauvage) (anterior and posterior body ends, lateral views).
Fig. 29 in Some nematodes from freshwater fishes in central Africa
Fig. 29. Spinitectus polli Campana-Rouget, 1961 from Synodontis decorus Boulenger, scanning electron micrographs. A, B – caudal end of male, sublateral and subventral views, respectively; C – tail of female, ventrolateral view; D – distal end of male tail, ventral view. Abbreviations: e – cloaca; f – anus.
Critical thermal maxima of freshwater larvae (Serratella ignita and Baetis Rhodani), Scotland, from 10 populations at different times
<p>The dataset includes a collection of Critical Thermal maxima values (CTmax) for 676 <em>Serratella ignita </em>and 155 <em>Baetis rhodani</em> specimens, sampled in 4 Scottish lakes in 2016 and 2017. The dataset indicates date of collection for each specimen, location, and body size. </p>
Geodatabase Dataset of the Distribution of Inland Water fish fauna of Freshwater Systems in Northern Greece
<p>Abstract</p> <p>The dataset is a geodatabase focusing on the distribution of freshwater fish species in Northern Greece. The study area encompasses various lakes and rivers within the regions of Thrace, Eastern, Central, and Western Macedonia, and Epirus. It classifies fish species into three categories based on their conservation status according to the IUCN Red List: Critically Endangered, Endangered, and Vulnerable. The data analysis reveals that the study area is characterized by high fish diversity, particularly in certain ecosystems such as the Evros River, Strymonas River, Aliakmonas River, Axios River, Volvi Lake, Nestos River, and Prespa Lake. These ecosystems serve as important habitats for various fish species. Mapping of the dataset shows the geographic distribution of threatened fish species, indicating that Northern Greece is a hotspot for species facing extinction risks. Overall, the dataset provides valuable insights for researchers, policymakers, and conservationists in understanding the status of fish fauna in Northern Greece and developing strategies for the protection and preservation of these important ecosystems.</p> <p>Methods</p> <p>Data Collection: The dataset was collected through a combination of field surveys, literature reviews, and the compilation of existing data from various reliable sources. Here's an overview of how the dataset was collected and processed:</p> <ul> <li>Freshwater Fishes and Lampreys of Greece: An Annotated Checklist </li> <li>The Red Book of Endangered Animals of Greece</li> <li>The "Red List of Threatened Species"</li> <li>The study "Monitoring and Evaluation of the Conservation Status of Fish Fauna Species of Community Interest in Greece"</li> <li>The international online fish database FishBase</li> </ul> <p>Data Digitization and Georeferencing: To create a comprehensive database, we digitized and georeferenced the collected data from various sources. This involved converting information from papers, reports, and surveys into digital formats and associating them with specific geographic coordinates. Georeferencing allowed us to map the distribution of fish species within the study area accurately.</p> <p>Data Integration: The digitized and georeferenced data were then integrated into a unified geodatabase. The geodatabase is a central repository that contains both spatial and descriptive data, facilitating further analysis and interpretation of the dataset.</p> <p>Data Analysis: We analyzed the collected data to assess the distribution of fish species in Northern Greece, evaluate their conservation status according to the IUCN Red List categories, and identify the threats they face in their respective ecosystems. The analysis involved spatial mapping to visualize the distribution patterns of threatened fish species.</p> <p>Data Validation: To ensure the accuracy and reliability of the dataset, we cross-referenced the information from different sources and validated it against known facts about the species and their habitats. This process helped to eliminate any discrepancies or errors in the dataset.</p> <p>Interpretation and Findings: Finally, we interpreted the analyzed data and derived key findings about the diversity and conservation status of freshwater fish species in Northern Greece. The results were presented in the research paper, along with maps and visualizations to communicate the spatial patterns effectively.</p> <p>Overall, the dataset represents a comprehensive and well-processed collection of information about fish fauna in the study area. It combines both spatial and descriptive data, providing valuable insights for understanding the distribution and conservation needs of freshwater fish populations in Northern Greece.</p> <p> </p> <p>Usage notes</p> <p>The data included with the submission is stored in a geodatabase format, specifically an ESRI Geodatabase (.gdb). A geodatabase is a container that can hold various types of geospatial data, including feature classes, attribute tables, and raster datasets. It provides a structured and organized way to store and manage geographic information.</p> <p>To open and work with the geodatabase, you will need GIS software that supports ESRI Geodatabase formats. The primary software for accessing and manipulating ESRI Geodatabases is ESRI ArcGIS, which is a proprietary GIS software suite. However, there are open-source alternatives available that can also work with Geodatabase files.</p> <p>Open-source software such as QGIS has support for reading and interacting with Geodatabase files. By using QGIS, you can access the data stored in the geodatabase and perform various geospatial analyses and visualizations. QGIS is a powerful and widely used open-source Geographic Information System that provides similar functionality to ESRI ArcGIS.</p> <p>For tabular data within the geodatabase, you can export the tables as CSV files and open them with software like Microsoft Excel or the open-source alternative, LibreOffice Calc, for further analysis and manipulation.</p> <p>Overall, the data provided in the submission is in a geodatabase format, and you can use ESRI ArcGIS or open-source alternatives like QGIS to access and work with the geospatial data it contains.</p>
Code and data: Understanding temporal variability across trophic levels and spatial scales in freshwater ecosystems
<p>Code and data to reproduce the results in Siqueira et al. (submitted) published as a Preprint (https://doi.org/10.32942/osf.io/mpf5x)</p> <p>The full set of results, including those made available as supplementary material, can be reproduced by running five scripts in the <strong>R_codes</strong> folder following this sequence:</p> <ul> <li>01_Dataprep_stability_metrics.R</li> <li>02_SEM_analyses.R</li> <li>03_Stab_figs.R</li> <li>04_Stab_supp_m.R</li> <li>05_Sensit_analysis.R</li> </ul> <p>and using the data available in the <strong>Input_data</strong> folder.</p> <p>The original raw data made available include the abundance (individual counts, biomass, coverage area) of a given taxon, at a given site, in a given year. See details here https://doi.org/10.32942/osf.io/mpf5x</p> <p>However, this is a collaborative effort and not all authors are allowed to share their raw data. One data set (LEPAS), out of 30, was not made available due to data sharing policies of The Ohio Division of Wildlife (ODOW). So, in code "01_Dataprep_stability_metrics.R" all data made available are imported, except the LEPAS data set. For this specific data set, code "01_Dataprep_stability_metrics.R" imports variability and synchrony components estimated using the methods described in Wang et al. (2019 Ecography; doi/10.1111/ecog.04290), diversity metrics (alpha and gamma diversity), and some variables describing the data set.</p> <p>A protocol for requesting access to the LEPAS data sets can be found here:<br> https://ael.osu.edu/researchprojects/lake-erie-plankton-abundance-study-lepas</p> <p>Dataset owner: Ohio Department of Natural Resources – Division of Wildlife, managed by Jim Hood, Dept. of Evolution, Ecology, and Organismal Biology, The Ohio State University. Email: hood.211@osu.edu</p> <p>Anyone who wants to reproduce the results described in the preprint can just download the whole R project (that includes code and data) and run codes from 01 to 05.</p> <p>I am making the whole R project folder (with everything needed to reproduce the results) available as a compressed file.</p>
FIGURE 11 in Diversification in ancient Lake Biwa: integrative taxonomy reveals overlooked species diversity of the Japanese freshwater snail genus Semisulcospira (Mollusca: Semisulcospiridae)
FIGURE 11 Shells of Semisulcospira salebrosa sp. nov. A–G, Holotype, KUZ Z4131. H–J, Paratype, KUZ Z4133. K–L, Paratype, KUZ Z4135. M–O, Specimen from Take-shima Island, KUZ Z4138. A–C, H, K, M, Adult shell. A–C, H, M, Female. K, Male. D, I, L, N, Operculum. E–G, J, O, Embryonic shell. Scale bars: 10 mm (A–D, H–I, K–L, M–N), 1 mm (E–G, J, O). All specimens were treated with 3% sodium hypochlorite
FIGURE 9 in Diversification in ancient Lake Biwa: integrative taxonomy reveals overlooked species diversity of the Japanese freshwater snail genus Semisulcospira (Mollusca: Semisulcospiridae)
FIGURE 9 Shells of Semisulcospira watanabei sp. nov. A–G, Holotype, KUZ Z4109. H–J, Paratype, KUZ Z4110. K–L, Paratype, KUZ Z4114. M–N. Specimen from Oura, KUZ Z4117. O–Q, Specimen from Nihonmatsu, KUZ Z4118. R–T, Specimen from Horikiri Port, KUZ Z4120. A–C, H, K, M, O, R, Adult shell. A–C, H, O, R, Female. K, Male. M, Juvenile. D, I, L, N, P, S, Operculum. E–G, J, Q, T, Embryonic shell. Scale bars: 10 mm (A–D, H–I, K–L, M–N, O–P, R–S), 1 mm (E–G, J, Q, T). All specimens were treated with 3% sodium hypochlorite
FIGURE 7 in Diversification in ancient Lake Biwa: integrative taxonomy reveals overlooked species diversity of the Japanese freshwater snail genus Semisulcospira (Mollusca: Semisulcospiridae)
FIGURE 7 Results of Random Forest analyses conducted for five Semisulcospira species. Euclidean distances generated from proximities among individuals are plotted. A, Female. B, Male
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.