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.
271
datasets available to search
ShareScore release 0.7.1
Dataset results
271 results for “ecological research”
Figure 11 from: Moulin N, Decaëns T, Annoyer P (2017) Diversity of mantids (Dictyoptera: Mantodea) of Sangha-Mbaere Region, Central African Republic, with some ecological data and DNA barcoding. Journal of Orthoptera Research 26: 117-141. https://doi.org/10.3897/jor.26.19863
Figure 11 - Number of collected specimens in the different vegetation strata; black = females; grey = males; white = nymphs.
Figure 10 from: Moulin N, Decaëns T, Annoyer P (2017) Diversity of mantids (Dictyoptera: Mantodea) of Sangha-Mbaere Region, Central African Republic, with some ecological data and DNA barcoding. Journal of Orthoptera Research 26: 117-141. https://doi.org/10.3897/jor.26.19863
Figure 10 - Species richness in the three zones studied: Ndoki = Dzanga-Ndoki National Park zone; Sangha = Dzanga-Sangha Special Reserve zone; Mbaere = Rest of the Sangha-Mbaere Region; grey chart = observed number of species; dashed chart = estimated richness (ACE index) and associated standard deviation.
Figure 1 from: Moulin N, Decaëns T, Annoyer P (2017) Diversity of mantids (Dictyoptera: Mantodea) of Sangha-Mbaere Region, Central African Republic, with some ecological data and DNA barcoding. Journal of Orthoptera Research 26: 117-141. https://doi.org/10.3897/jor.26.19863
Figure 1 - Sangha-Mbaere Region in Central African Republic. A. Location of Tri National Sangha area in Central Africa; B. Location of principal sampling stations and largest towns. Black dots: Main city in Sangha-Mbaere Region. White dots: Main collection areas. Sources: http://www.diva-gis.org adminstrative area, Sangha-Mbaere Region; C. Illustration of the habitats studied; D. Primary forest of CAR, Dzanga Bai with forest elephants.
Figure 5 from: Moulin N, Decaëns T, Annoyer P (2017) Diversity of mantids (Dictyoptera: Mantodea) of Sangha-Mbaere Region, Central African Republic, with some ecological data and DNA barcoding. Journal of Orthoptera Research 26: 117-141. https://doi.org/10.3897/jor.26.19863
Figure 5 - Number of mantid specimens collected with the two main sampling methods: day capture (Day) and trapping with UV lights at night (UV); black chart = females; grey chart = males; white chart = nymphs.
TRACE-Soils LTER (long-term ecological research) metadata
Open the record for dataset details and reuse information.
Figure 1 from: Sánchez-Fernández D, Rizzo V, Bourdeau C, Cieslak A, Comas J, Faille A, Fresneda J, Lleopart E, Millán A, Montes A, Pallares S, Ribera I (2018) The deep subterranean environment as a model system in ecological, biogeographical and evolutionary research. Subterranean Biology 25: 1-7. https://doi.org/10.3897/subtbiol.25.23530
Figure 1 Relationship between the temperature inside the cave and the surface (Mean Annual Temperature (°C) of each pixel (0.08° cells).
Figure 3 from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 3 The spiral model - an open research lifecycle involves sharing of each step of the process, including not only scientific papers but also research ideas, data (raw and processed), metadata, methods, software (Minelli et al. 2017).
Figure 4a from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 4a An extract from data collected since 1965 to today in the NAS. - snapshot of the organization of the main table of data
Figure 1 from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 1 The LTER-Italy parent site "Northern Adriatic Sea". The four research sites that compose it, together with the fixed point observatories, are evidenced. 1: Gulf of Trieste and Mambo buoy, 2: Gulf of Venice and Acqua Alta Tower, 3: Po Delta and Romagna Coast and S1-GB and E1 buoys, 4: Senigallia-Susak Transect and TeleSenigallia Pylon (Minelli et al. 2018)
Figure 4c from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 4c An extract from data collected since 1965 to today in the NAS. - 3D visualization of data from the viewpoint in b: the yellow grid represents the sea level, each set of vertical points represents more samplings relying on the same (X, Y) coordinates but at different depths (Z)
Figure 4b from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 4b An extract from data collected since 1965 to today in the NAS. - 2D visualization of custom sampling stations (used from 1965 to 1990, before GPS advent) and real sampling points (until 2015)
Figure 5 from: Bogusch P, van Achterberg C, Šilhán K, Astapenková A, Heneberg P (2018) Description of mature larvae and ecological notes on Gasteruption Latreille (Hymenoptera, Evanioidea, Gasteruptiidae) parasitizing hymenopterans nesting in reed galls. Journal of Hymenoptera Research 65: 1-21. https://doi.org/10.3897/jhr.65.26645
Figure 5 Body parts of larvae of Gasteruption. Gasteruptionassectator. A head, frontal view B mandible, frontal view C spiracle. GasteruptionnigrescensD head, frontal view E mandible, frontal view F spiracle. GasteruptionphragmiticolaG head, frontal view H mandible, frontal view I spiracle.
Figure 1 from: Bogusch P, van Achterberg C, Šilhán K, Astapenková A, Heneberg P (2018) Description of mature larvae and ecological notes on Gasteruption Latreille (Hymenoptera, Evanioidea, Gasteruptiidae) parasitizing hymenopterans nesting in reed galls. Journal of Hymenoptera Research 65: 1-21. https://doi.org/10.3897/jhr.65.26645
Figure 1 Map with occurrence of Gasteruptionassectator (yellow) and Gasteruptionnigrescens (red) in the localities studied. Empty circles represent the localities where these species have not been recorded.
Figure 2 from: Bogusch P, van Achterberg C, Šilhán K, Astapenková A, Heneberg P (2018) Description of mature larvae and ecological notes on Gasteruption Latreille (Hymenoptera, Evanioidea, Gasteruptiidae) parasitizing hymenopterans nesting in reed galls. Journal of Hymenoptera Research 65: 1-21. https://doi.org/10.3897/jhr.65.26645
Figure 2 Map with occurrence of Hylaeuspectoralis (yellow) and Gasteruptionphragmiticola together with Hylaeuspectoralis (red) in the localities studied. No localities of Gasteruptionphragmiticola without the presence of H.pectoralis were recorded. Empty circles represent the localities where these species have not been recorded.
Figure 3 from: Bogusch P, van Achterberg C, Šilhán K, Astapenková A, Heneberg P (2018) Description of mature larvae and ecological notes on Gasteruption Latreille (Hymenoptera, Evanioidea, Gasteruptiidae) parasitizing hymenopterans nesting in reed galls. Journal of Hymenoptera Research 65: 1-21. https://doi.org/10.3897/jhr.65.26645
Figure 3 Nests with larvae of Gasteruption. A Larva of Gasteruptionnigrescens in nest of Heriadesrubicola (Hungary, Szeged, 2017) B Larva of Gasteruptionnigrescens in nest of Hoplitisleucomelana (Czech Republic, Novozámecký fish pond, 2018) C Larva of Gasteruptionphragmiticola in nest of Hylaeuspectoralis (Czech Republic, Novozámecký fish pond, 2018) D larva of Gasteruptionphragmiticola extracted from nest of Hylaeuspectoralis (Czech Republic, Dubno, 2015).
Figure 4 from: Bogusch P, van Achterberg C, Šilhán K, Astapenková A, Heneberg P (2018) Description of mature larvae and ecological notes on Gasteruption Latreille (Hymenoptera, Evanioidea, Gasteruptiidae) parasitizing hymenopterans nesting in reed galls. Journal of Hymenoptera Research 65: 1-21. https://doi.org/10.3897/jhr.65.26645
Figure 4 Larvae of Gasteruption. Gasteruptionassectator. A mature larva, lateral view B mature larva, dorsal view C head – mouthparts. GasteruptionnigrescensD mature larva, lateral view E mature larva, dorsal view F head – mouthparts. GasteruptionphragmiticolaG mature larva, lateral view H mature larva, dorsal view I head – mouthparts.
Figure 4 from: Smith R (2019) The CLUZ plugin for QGIS: designing conservation area systems and other ecological networks. Research Ideas and Outcomes 5: e33510. https://doi.org/10.3897/rio.5.e33510
Figure 4 Screenshots from QGIS showing the two Marxan outputs displayed in CLUZ. The map on the left shows the best portfolio of planning units selected by Marxan, while the map on the right shows the selection frequency score of each planning unit based on running Marxan ten times, with planning units in red being selected in every one of the ten Marxan runs.
Figure 3 from: Smith R (2019) The CLUZ plugin for QGIS: designing conservation area systems and other ecological networks. Research Ideas and Outcomes 5: e33510. https://doi.org/10.3897/rio.5.e33510
Figure 3 Screenshot of QGIS showing the planning units layer, CLUZ target table and Change Status panel. The Change Status Panel was used to change the status of the patch of planning units in the northwest of the planning region from Conserved to Earmarked. This updated the target table, which shows that adding this new patch to the protected area network would meet the target for rock faces and would contribute towards targets for another five conservation features.
Figure 1 from: Smith R (2019) The CLUZ plugin for QGIS: designing conservation area systems and other ecological networks. Research Ideas and Outcomes 5: e33510. https://doi.org/10.3897/rio.5.e33510
Figure 1 Screenshot of QGIS showing the planning units layer and CLUZ target table. The CLUZ target table provides details on all the conservation features, including the PC_target field showing the "gap" features that are currently under-represented.
Figure 2 from: Smith R (2019) The CLUZ plugin for QGIS: designing conservation area systems and other ecological networks. Research Ideas and Outcomes 5: e33510. https://doi.org/10.3897/rio.5.e33510
Figure 2 Screenshots of QGIS showing on the left, a CLUZ distribution map of one of the conservation features, and on the right a map of the number of conservation features found in each planning unit.
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.