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.
2,603
datasets available to search
ShareScore release 0.9.0
Dataset results
2,603 results for “Ecological data”
Figure 14 in New data on distribution and ecology of seven species of Euscorpius Thorell, 1876 (Scorpiones: Euscorpiidae)
Figure 14: An adult female of E. concinnus with offspring from La Morra (Piedmont, Italy) (photo by Giorgio Colombo).
Figure 10 in New data on distribution and ecology of seven species of Euscorpius Thorell, 1876 (Scorpiones: Euscorpiidae)
Figure 10: Old abandoned fortresses are favorable environments for E. tergestinus in Lubiara (Veneto, Italy) (photo by Marco Colombo).
Figure 9 in New data on distribution and ecology of seven species of Euscorpius Thorell, 1876 (Scorpiones: Euscorpiidae)
Figure 9: Euscorpius (Euscorpius) tergestinus, adult female, Venezia (Veneto, Italy) (photo by Giorgio Colombo).
Figure 7 in New data on distribution and ecology of seven species of Euscorpius Thorell, 1876 (Scorpiones: Euscorpiidae)
Figure 7: E. sicanus collecting sites. Tuscany (Italy): 1. Castel San Gimignano; 2. Monte Argentario; 3. Giglio Island.
Figure 6 in New data on distribution and ecology of seven species of Euscorpius Thorell, 1876 (Scorpiones: Euscorpiidae)
Figure 6: E. sicanus habitat: wall of a cellar under inhabited houses in Castel San Gimignano (Tuscany, Italy) (photo by Marco Colombo).
Figure 4 in New data on distribution and ecology of seven species of Euscorpius Thorell, 1876 (Scorpiones: Euscorpiidae)
Figure 4: Euscorpius (Euscorpius) sicanus, adult male, Monte Argentario (Tuscany, Italy) (photo by Marco Colombo).
Figure 1 in New data on distribution and ecology of seven species of Euscorpius Thorell, 1876 (Scorpiones: Euscorpiidae)
Figure 1: Euscorpius (Alpiscorpius) alpha, adult female, Cislano (Lombardy, Italy) (photo by Giorgio Colombo).
Raw data for: Spatial and temporal variation in farmland bird nesting ecology: Implications for effective Corn Bunting Emberiza calandra conservation
<p>These are raw data accompanying the study "<span>Spatial and temporal variation in farmland bird nesting ecology: Implications for effective Corn Bunting Emberiza calandra conservation</span>". All information on data origin, data analysis, and derived implications will be available with the original publiation.</p>
Fig. 2 in Short Communication New records and ecological data on the alien species Colasposoma dauricum and Luperomorpha xanthodera (Coleoptera: Chrysomelidae) in Italy
Fig. 2 - Images of the species considered in this study. / Immagini delle specie considerate in questo studio. A-C) Colasposoma dauricum; A) dorsal view / vista dorsale. B) frontal view / vista frontale. C) lateral view / vista laterale. D-F) Luperomorpha xanthodera; D) dorsal view / vista dorsale. E) frontal view / vista frontale. F) lateral view / vista laterale.
Fig. 1 in Short Communication New records and ecological data on the alien species Colasposoma dauricum and Luperomorpha xanthodera (Coleoptera: Chrysomelidae) in Italy
Fig. 1 - Records of Colasposoma dauricum in Italy: localities from Montagna et al. (2016) in dark blue, and the new record in light blue. Records of Luperomorpha xanthodera in Italy: in red, the localities from Del Bene & Conti (2009) and Farina (2011), and in yellow the new records. / Segnalazioni di Colasposoma dauricum in Italia: in blu scuro, le località da Montagna et al. (2016) e, in azzurro, il nuovo dato. Segnalazioni di Luperomorpha xanthodera in Italia: in rosso, le località da Del Bene & Conti (2009) e Farina (2011) e, in giallo, i nuovi dati.
Figs. 13–16 in Drasteria scolopax (Alphéraky, 1892) (Lepidoptera: Erebidae): New data on its range and ecology with description of a new subspecies
Figs. 13–16. Genitalia of Drasteria scolopax (Alphéraky, 1892): 13 — D. scolopax scolopax, lectotype, male, Gumansu; 14 — D. scolopax gilmanovi, paratype, male, Kaltabulak, 19.07.2023; 15 — D. scolopax scolopax, paralectotype, female, Gumansu; 16 — D. scolopax gilmanovi, holotype, female, Kaltabulak, 19.07.2023. Photos 14, 16 — by S. K. Korb, 13, 15 — by A. Yu. Matov Рис. 13–16. ГенитаΛии Drasteria scolopax (Alphéraky, 1892): 13 — D. scolopax scolopax, Λектотип, самец, Гумансу; 14 — D. scolopax gilmanovi, паратип, самец, КаΛтабуΛак, 19.07.2023; 15 — D. scolopax scolopax, параΛектотип, самка, Гумансу; 16 — D. scolopax gilmanovi, гоΛотип, самка, КаΛтабуΛак, 19.07.2023. Фото: 14, 16 — С. К. Корб, 13, 15 — А. Ю. Матов
Figs. 1–12 in Drasteria scolopax (Alphéraky, 1892) (Lepidoptera: Erebidae): New data on its range and ecology with description of a new subspecies
Figs. 1–12. Drasteria scolopax (Alphéraky, 1892), habitus: 1–2 — D. scolopax gilmanovi, holotype, female, Kaltabulak, 19.07.2023; 3–4 — D. scolopax gilmanovi, paratype, female, Kaltabulak, 19.07.2023; 5–6 — D. scolopax gilmanovi, paratype, male, Kaltabulak, 19.07.2023; 7–9 — D. scolopax scolopax, lectotype, male, Gumansu; 10 — D. scolopax scolopax, paralectotype, female, Gumansu; 11–12 — D. scolopax scolopax, males, Altyntag. Photos 1–6 — by S. K. Korb, 7–12 — by A. Yu. Matov Рис. 1–12. Drasteria scolopax (Alphéraky, 1892), габитус: 1–2 — D. scolopax gilmanovi, гоΛотип, самка, КаΛтабуΛак, 19.07.2023; 3–4 — D. scolopax gilmanovi, паратип, самка, КаΛтабуΛак, 19.07.2023; 5–6 — D. scolopax gilmanovi, паратип, самец, КаΛтабуΛак, 19.07.2023; 7–9 — D. scolopax scolopax, Λектотип, самец, Гумансу; 10 — D. scolopax scolopax, параΛектотип, самка, Гумансу; 11–12 — D. scolopax scolopax, самцы, АΛтынтаг. Фотографии 1–6 — С. К. Корб; 7–12 — А. Ю. Матов
Figs. 17–18 in Drasteria scolopax (Alphéraky, 1892) (Lepidoptera: Erebidae): New data on its range and ecology with description of a new subspecies
Figs. 17–18. Drasteria scolopax (Alphéraky, 1892), habitats: 17 — Transalai Mts., Kaltabulak stream; 18 — Alai Mts., Koksu River valley. Photos by P. Y. Gorbunov Рис. 17–18. Drasteria scolopax (Alphéraky, 1892), местообитания: 17 — ЗааΛайский хребет, ручей КаΛтабуΛак; 18 — АΛайский хребет, ΔоΛина реки Коксу. Фотографии П. Ю. Горбунова
Figure 2 in Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology
Figure 2. – The proportion of the various phyla represented in the Bendima database, based on the number of single organisms or colonies.
Figure 1 in Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology
Figure 1. – Images and samples collection; sorting of the caught organisms (A), full photographing (B), taxa identification/counting/measurement and storage in the Bendima database in the form of cropped images (C), conservation of representative sub-samples for taxonomy and DNA barcoding (D).
Figure 3 in Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology
Figure 3. – The geographical coverage of the Bendima database; the location of the zoomed area is in provided in the inset world map; stations are aggregated into presence data according to a grid of cells of 1°; the letters and num- bers relate to the name of the French Economic Exclusive Zones (EEZ) and various geomorphic structures located in international waters: A: Kerguelen EEZ, B: Crozet EEZ, C: Saint-Paul et Amsterdam EEZ, 1: Del Cano ridge, 2: Elan Bank, 3: Ob et Lena Bank, 4 and 5: Antarctica shelf.
Data and scripts for Predictable Ecological Response to Rising CO2 of a Community of Marine Phytoplankton
<p>Rising atmospheric CO<sub>2</sub> and ocean acidification are fundamentally altering conditions for life of all marine organisms, including phytoplankton. Differences in CO<sub>2</sub> related physiology between major phytoplankton taxa lead to differences in their ability to take up and utilise CO<sub>2</sub>. These differences may cause predictable shifts in the composition of marine phytoplankton communities in response to rising atmospheric CO<sub>2</sub>. We report an experiment in which 7 species of marine phytoplankton, belonging to 4 major taxonomic groups (cyanobacteria, chlorophytes, diatoms and coccolithophores) were grown at both ambient (500 µatm) and future (1000 µatm) CO<sub>2</sub> levels. These phytoplankton were grown as individual species, as cultures of pairs of species and as a community assemblage of all seven species in two culture regimes (high-nitrogen batch cultures and lower-nitrogen semi-continuous cultures, though not under nitrogen limitation). All phytoplankton species tested in this study increased their growth rates under elevated CO<sub>2</sub> independent of the culture regime. We also find that, despite species-specific variation in growth response to high CO<sub>2</sub>, the identity of major taxonomic groups provides a good prediction of changes in population growth and competitive ability under high CO<sub>2</sub>. The CO<sub>2</sub>-induced growth response is a good predictor of CO<sub>2</sub>-induced changes in competition (R<sup>2</sup>>0.93) and community composition (R<sup>2</sup>>0.73). This study suggests that it may be possible to infer how marine phytoplankton communities respond to rising CO<sub>2</sub> levels from the knowledge of the physiology of major taxonomic groups, but that these predictions may require further characterisation of these traits across a diversity of growth conditions. These findings must be validated in the context of limitation by other nutrients. Also, in natural communities of phytoplankton, numerous other factors that may all respond to changes in CO2, including nitrogen fixation, grazing and variation in the limiting resource will likely complicate this prediction.</p>
Supporting data for Guzzo et al. 2018, Methods in Ecology and Evolution, DOI: 10.1111/2041-210X.12993
<p>Supporting data for Guzzo et al. MEE, Field testing a novel high residence positioning system for monitoring the fine‐scale movements of aquatic organisms (DOI: 10.1111/2041-210X.12993)</p>
Fig. 5. Parsimony splits network constructed from a per and ITS2 concatenated sequence data set. Heterozygous specimens are indicated with A and B in Ecological and geographical speciation in Lucilia bufonivora: The evolution of amphibian obligate parasitism
Fig. 5. Parsimony splits network constructed from a per and ITS2 concatenated sequence data set. Heterozygous specimens are indicated with A and B. 'bufonivora_EUROPE_A' represents a consistent haplotype present in all 12 samples from Europe (Table 1), of which just two were heterozygous ('bufonivora_frog' and 'bufonivora_NLWi'). 'bufonivora_CAN' and 'elongata_CAN' are represented by two samples each, none of which were heterozygous. Scale bar represents expected changes per site.
Figure 3. A in New data on distribution, ecology, and taxonomy of Turkish Nitidulidae (Coleoptera)
Figure 3. A 'sand-dunes'-like landscape, ca. 2 km S of Bozca (Nevşehir Province), where Xerogethes osellai (Audisio & Jelínek, 2000) was found.
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.