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.
7,081
datasets available to search
ShareScore release 0.7.1
Dataset results
7,081 results for “Habitats”
Fig. 3 in Habitat characteristics and environmental parameters influencing fish assemblages of karstic pools in southern Mexico
Fig. 3. Non-metric multi-dimensional scaling ordination of fish assemblage structure in karstic pools from Calakmul Biosphere Reserve. Habitat type obtained by CVA analysis s specified for the exclusive species.
Fig. 1 in Habitat characteristics and environmental parameters influencing fish assemblages of karstic pools in southern Mexico
Fig. 1. Calakmul Biosphere Reserve in southern Mexico, showing the borderline of the core area, and buffer zone indicated by shaded polygons. The white circles denoted pools located in habitat A, black circles are pools in habitat B, and black squares in habitat C. Pool identification numbers are specified in Table 3.
Fig. 4 in Habitat characteristics and environmental parameters influencing fish assemblages of karstic pools in southern Mexico
Fig. 4. CCA ordination diagram based on species abundances (closed circles), with habitat quality variables designed by a star: G = grass, T= ephemeral, P = perennial, WV = without vegetation, AR = arboreal cover, AV = aquatic vegetation, HU = human use, TF = tilapia farming. Environmental parameters represented by vectors: O2 = dissolved oxygen, Cond. = conductivity, pH, NO3 = nitrates, NH4 = ammonium, and K = potassium. See Table 2 for species abbreviations. The first canonical axes: (F = 6.09, P = 0.026) and for all canonical axes (F = 1.879, P = 0.040).
Fig. 5 in Habitat preferences of common native fishes in a tropical river in Southeastern Brazil
Fig. 5. Substrate preferences of seven dominant native fish species in the Guandu River. Type of Substrate: 1, clay; 2, mud; 3, sand; 4, boulder/cobble/gravel; 5, bedrock.
Fig. 2 in Habitat preferences of common native fishes in a tropical river in Southeastern Brazil
Fig. 2. Distribution of sampling by habitat availability (%) in terms of depth (m), velocity (m s-1), and type of substrate. (1, clay; 2, mud; 3, sand; 4, boulder/cobble/gravel; 5, bedrock).
Fig. 1 in Habitat preferences of common native fishes in a tropical river in Southeastern Brazil
Fig. 1. Study area, Guandu River, indicating the four sampled stretches. WTP, Water Treatment Plant.
Fig. 4 in Native Bugseed Species Corispermum Intermedium Schweigg And Alien Corispermum Pallasii Steven In Coastal Habitats Of Latvia - New Knowledges Of Distribution And Invasions
Fig. 4. Annual pioneer vegetation with Corispermum pallasii on dune habitats in Mērsrags, Latvia (Photo: P. Evarts-Bunders).
Fig. 8 in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 8. Fitted linear model of the relationship between Actions' implementation before and after BAP.
Fig. 7 in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 7. Box-and-Whicker plots for Species Conservation and Habitats Conservation Sub-actions' implementation in points before and after BAP.
Fig. 1 in Native Bugseed Species Corispermum Intermedium Schweigg And Alien Corispermum Pallasii Steven In Coastal Habitats Of Latvia - New Knowledges Of Distribution And Invasions
Fig. 1. Locations of transects in coastal habitats in the whole seashore of Latvia (Explanation of transects numbers see Table 1).
Fig. 3 in Native Bugseed Species Corispermum Intermedium Schweigg And Alien Corispermum Pallasii Steven In Coastal Habitats Of Latvia - New Knowledges Of Distribution And Invasions
Fig. 3. Distribution of Corispermum intermedium Schweigg (left) and C. pallasiii Steven (right) in Latvia (1st row – localities known till 1940; 2nd row – localities known 1940 – 1990; 3rd row - localities known or verified since 1990).
Fig. 5. Emys orbicularis habitat 3 in P R O J E C T S O N E M Y S O R B I C U L A R I S (R E P T I L I A: Testudines: Emydidae) In Latvia For Thirty Years (1984 - 2014): Biological Aspects, Results And Effect On Population And Ecosystems
Fig. 5. Emys orbicularis habitat 3 in Silene Nature Park before restoration (Google Earth service, SAS services).
Fig. 4. Emys orbicularis habitats 1 and 2 in P R O J E C T S O N E M Y S O R B I C U L A R I S (R E P T I L I A: Testudines: Emydidae) In Latvia For Thirty Years (1984 - 2014): Biological Aspects, Results And Effect On Population And Ecosystems
Fig. 4. Emys orbicularis habitats 1 and 2 in Silene Nature Park before (a) and after (b) restoration (Google Earth service, SAS services).
Fig. 6. Emys orbicularis habitat 3 in P R O J E C T S O N E M Y S O R B I C U L A R I S (R E P T I L I A: Testudines: Emydidae) In Latvia For Thirty Years (1984 - 2014): Biological Aspects, Results And Effect On Population And Ecosystems
Fig. 6. Emys orbicularis habitat 3 in Silene Nature Park after restoration (Google Earth service, SAS services).
Fig. 7 in Habitat Distribution Of Dytiscus Latissimus Linnaeus, 1758 (Coleoptera: Dytiscidae) In The Ecosystem Of Ruģeļi Fish Ponds (Daugavpils, Latvia)
Fig. 7. Distribution of D. latissimus in the ecosystem of RuĢeļi fish ponds (Daugavpils) № 1 - 4 – inspected control sites, where № 3, 4 – water-storage basins Lielo Stropicas and Mazo Stropicas; А – findings of D. latissimus; В – breeding places of D. latissimus.
Fig 3 in Conceptual Application Of Dytiscus Latissimus Linnaeus, 1758 (Dytiscidae, Coleoptera) Gathering Methods In Natural Habitat
Fig 3. The result of uncontrolled use of fishing Fig 4. First success. Alive D.latissimus males tackle by fish. Handful of dead D.latissimus and C. lateralimarginalis
Fig.1. Funnel trap for gathering living RESULTS AND DISCUSSION D.latissimus a in Conceptual Application Of Dytiscus Latissimus Linnaeus, 1758 (Dytiscidae, Coleoptera) Gathering Methods In Natural Habitat
Fig.1. Funnel trap for gathering living RESULTS AND DISCUSSION D.latissimus a result of the individual (from Jan G.M. Cuppen and other): As many years application of the material gathering methods was 1 – float; 2- rubber; 3 – aeration net; a possibility to catch on regular and predictable 4 – entrance Ø 30 mm. basis a required number of animals for our laboratory research. itself. This can be identified from locating specific cuts on it. (Vahrusevs 2009) The key to a successful egg collection is a search of the plants used by beetles during their Below is an example from field notes of catching reproduction period, as well as the correct beetles during the autumn season: locating of clutches. Such plants in our reservoir "The research on the reservoir was done during under study are Carex acuta, Carex rostrata, 11.10.2009 - 28.10.2009. Caltha palustris. One has to identify suitable plants in the locations of beetles' clutches The weather conditions were favourable. It was (usually located on the sunny side along the quite warm and windless all this time in order to coast of a water reservoir). The person gathering work comfortably. Water temperature was +7-8 ŗ the material has to grasp with fingers the C. We worked as usual on the proven location. underwater part of the identified plant stem Coordinates in Google Earth (latitude 55 ° 52'33 reaching almost to its base, and slowly palpate it.95 "C; longitude 26 ° 35'18.78" H). by letting it through the fingers in the upwards direction. The upwards direction is imperative, We prepared the traps in advance (they had to as stems of many sedge plants have microscopic be repaired and mended, and modernized a little. thorns which are rooting upwards. If this method (Fig.2.). is not followed, an injury of a palm can occur. A stem of the plant which has protruding bumps We took along 21 trap to the water reservoir. The on it guarantees the presence of a clutch. A stem bait was pieces of beef heart. The traps were in its normal condition is usually smooth and placed along the coastline. The first "throw" was often flat. Such plants as Caltha palustris which kept in the water for almost a week with regular have fleshy stem are to be studied in addition check ups made every day or every second day. visually as eggs can be located inside the stem Traps were installed partly dipped under water.
Рис. 1–7. Cynaeda gigantea (Staudinger, 1880): 1 — C. gigantea gigantea (Staudinger, 1880), топотип; 2 — C. gigantea cobaini Korb, ssp. n., гоΛотип; 3 — C. gigantea cobaini Korb, ssp. n., генитаΛии гоΛотипа (эΔеагус уΔаΛен); 4 — C. gigantea cobaini Korb, ssp. n., эΔеагус гоΛотипа; 5 — C. gigantea cobaini Korb, ssp. n., вершина эΔеагуса гоΛотипа; 6 — C. gigantea cobaini Korb, ssp. n., в прироΔе (фото: Е. Комаров); 7 — C. gigantea cobaini Korb, ssp. n., биотоп Figs 1–7. Cynaeda gigantea (Staudinger, 1880): 1 — C. gigantea gigantea (Staudinger, 1880), topotype; 2 — C. gigantea cobaini Korb, ssp. n., holotype; 3 — C. gigantea cobaini Korb, ssp. n., holotype's genitalia (aedoeagus removed). 4 — C. gigantea cobaini Korb, ssp. n., holotype's aedoeagus; 5 — C. gigantea cobaini Korb, ssp. n., holotype's aedoeagus apex; 6 — C. gigantea cobaini Korb, ssp. n., in nature (photo: E. Komarov); 7 — C. gigantea cobaini Korb, ssp. n., habitat in Two New Subspecies Of Snout Moths Of The Genus Hübner, [1825] (Lepidoptera: Crambidae) From Kyrgyzstan
Рис. 1–7. Cynaeda gigantea (Staudinger, 1880): 1 — C. gigantea gigantea (Staudinger, 1880), топотип; 2 — C. gigantea cobaini Korb, ssp. n., гоΛотип; 3 — C. gigantea cobaini Korb, ssp. n., генитаΛии гоΛотипа (эΔеагус уΔаΛен); 4 — C. gigantea cobaini Korb, ssp. n., эΔеагус гоΛотипа; 5 — C. gigantea cobaini Korb, ssp. n., вершина эΔеагуса гоΛотипа; 6 — C. gigantea cobaini Korb, ssp. n., в прироΔе (фото: Е. Комаров); 7 — C. gigantea cobaini Korb, ssp. n., биотоп Figs 1–7. Cynaeda gigantea (Staudinger, 1880): 1 — C. gigantea gigantea (Staudinger, 1880), topotype; 2 — C. gigantea cobaini Korb, ssp. n., holotype; 3 — C. gigantea cobaini Korb, ssp. n., holotype's genitalia (aedoeagus removed). 4 — C. gigantea cobaini Korb, ssp. n., holotype's aedoeagus; 5 — C. gigantea cobaini Korb, ssp. n., holotype's aedoeagus apex; 6 — C. gigantea cobaini Korb, ssp. n., in nature (photo: E. Komarov); 7 — C. gigantea cobaini Korb, ssp. n., habitat
Рис. 8–13. Cynaeda forsteri de Lattin, 1951: 8 — C. forsteri forsteri de Lattin, 1951, гоΛотип; 9 — C. forsteri komarovi Korb, ssp. n., гоΛотип; 10 — C. forsteri komarovi Korb, ssp. n., генитаΛии гоΛотипа (эΔеагус уΔаΛен); 11 — C. forsteri komarovi Korb, ssp. n., эΔеагус гоΛотипа; 12 — C. forsteri komarovi Korb, ssp. n., вершина эΔеагуса гоΛотипа; 13 — C. forsteri komarovi Korb, ssp. n., биотоп Figs 8–13. Cynaeda forsteri de Lattin, 1951: 8 — C. forsteri forsteri de Lattin, 1951, holotype; 9 — C. forsteri komarovi Korb, ssp. n., holotype; 10 — C. forsteri komarovi Korb, ssp. n., holotype's genitalia (aedoeagus removed); 11 — C. forsteri komarovi Korb, ssp. n., holotype's aedoeagus; 12 — C. forsteri komarovi Korb, ssp. n., holotype's aedoeagus apex; 13 — C. forsteri komarovi Korb, ssp. n., habitat in Two New Subspecies Of Snout Moths Of The Genus Hübner, [1825] (Lepidoptera: Crambidae) From Kyrgyzstan
Рис. 8–13. Cynaeda forsteri de Lattin, 1951: 8 — C. forsteri forsteri de Lattin, 1951, гоΛотип; 9 — C. forsteri komarovi Korb, ssp. n., гоΛотип; 10 — C. forsteri komarovi Korb, ssp. n., генитаΛии гоΛотипа (эΔеагус уΔаΛен); 11 — C. forsteri komarovi Korb, ssp. n., эΔеагус гоΛотипа; 12 — C. forsteri komarovi Korb, ssp. n., вершина эΔеагуса гоΛотипа; 13 — C. forsteri komarovi Korb, ssp. n., биотоп Figs 8–13. Cynaeda forsteri de Lattin, 1951: 8 — C. forsteri forsteri de Lattin, 1951, holotype; 9 — C. forsteri komarovi Korb, ssp. n., holotype; 10 — C. forsteri komarovi Korb, ssp. n., holotype's genitalia (aedoeagus removed); 11 — C. forsteri komarovi Korb, ssp. n., holotype's aedoeagus; 12 — C. forsteri komarovi Korb, ssp. n., holotype's aedoeagus apex; 13 — C. forsteri komarovi Korb, ssp. n., habitat
Рис. 1. ЭкоΛого-географическая характеристика зоопΛанктона гиΔротермаΛьной зоны оз. Кенон в июΛе 2019 г.: А — зоогеография, Б — местообитание, В — способ переΔвижения, Г — способ питания Fig. 1. Ecological and geographic characteristics of zooplankton in the hydrothermal zone of Lake Kenon in July 2019: А — zoogeography, Б — habitat, В — type of locomotion, Г — type of feeding in Zooplankton Structure And Distribution In The Hydrothermal Zone Of Cooling Reservoirs (Trans-Baikal Territory)
Рис. 1. ЭкоΛого-географическая характеристика зоопΛанктона гиΔротермаΛьной зоны оз. Кенон в июΛе 2019 г.: А — зоогеография, Б — местообитание, В — способ переΔвижения, Г — способ питания Fig. 1. Ecological and geographic characteristics of zooplankton in the hydrothermal zone of Lake Kenon in July 2019: А — zoogeography, Б — habitat, В — type of locomotion, Г — type of feeding
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.