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.
9,113
datasets available to search
ShareScore release 0.9.0
Dataset results
9,113 results for “Sampling”
Text-fig. 7. Projection of the declinations and inclinations of primary component of the DRM vectors and a mean direction based on Fisher statistics A – samples with normal polarity (down - projection on the lower hemisphere), B – samples with reversed polarity (up - projection on the upper hemisphere). in New Updated Results Of Paleomagnetic Dating Of Cave Deposits Exposed In Za Hájovnou Cave, Javoříčko Karst
Text-fig. 7. Projection of the declinations and inclinations of primary component of the DRM vectors and a mean direction based on Fisher statistics A – samples with normal polarity (down - projection on the lower hemisphere), B – samples with reversed polarity (up - projection on the upper hemisphere).
Figure. The Central Black Sea Region of Turkey and sampling sites. Sampling sites: 1. Amasya: Centrum, Firingiler, 40°41′15.9″N, 35°54′45.9″E, 378 m; 2. Amasya: Göynücek, Kışlabeyi Village, 40°23′25.2″N, 35°33′43.1″E, 542 m; 3. Amasya: Gümüşhacıköy, Keçi Village, 40°49′07.5″N, 35°15′35.4″E, 777 m; 4. Amasya: Merzifon, Yakacık Village, 40°53′48.6″N, 35°25′43.9″E, 877 m; 5. Amasya: Suluova, Centrum, 40°49′24.3″N, 35°37′18.0″E, 473 m; 6. Amasya: Suluova, Çayüstü Village, 40°48′43.4″N, 35°38′24.4″E, 495 m; 7. Amasya: Taşova, 40°44′55.5″N, 36°17′49.6″E, 242 m; 8. Amasya: Taşova, Güngörmüş Village, 40°43′41.8″N, 36°17′06.3″E, 279 m; 9. Çorum: Centrum, Güney Village, 40°37′47.6″N, 35°05′58.5″E, 1170 m; 10. Çorum: Laçin, Gökgözler Village, 40°48′48.6″N, 34°50′38.6″E, 434 m; 11. Çorum: Mecitözü, Centrum, 40°31′41.1″N, 35°18′22.3″E, 767 m; 12. Çorum: Mecitözü, Hıdırlı Village, 40°29′19.6″N, 35°15′10.9″E, 918 m; 13. Çorum: Ortaköy, Senemoğlu Village, 40°19′24.0″N, 35°21′37.2″E, 533 m; 14. Çorum: Uğurludağ, Eskiçeltek Village, 40°33′46.6″N, 34°27′00.0″E, 519 m; 15. Ordu: Akkuş, Gökçebayır, 40°43′06.0″ N, 37°01′33.5″E, 920 m; 16. Ordu: Fatsa, Ayazlı, 41°00′32.9″N, 37°27′06.9″E, 130 m; 17. Ordu: Gölköy, 40°40′18.9″N, 37°36′43.4″E, 850 m; 18. Ordu: İkizce, 41°06′07.9″N, 37°07′45.3″E, 50 m; 19. Ordu: Korgan, Terzili Village, 40°42′06.6″N, 37°17′39.2″E, 1246 m; 20. Ordu: Korgan, Yenipınar Village, 40°47′58.0″N, 37°21′31.6″E, 584 m; 21. Ordu: Mesudiye, Centrum, 40°27′42.7″N, 37°46′23.0″E, 1100 m; 22. Ordu: Perşembe, Yumrutaş Village, 41°06′07.7″ N, 37°45′38.3″E, 231 m; 23. Ordu: Ünye, Cevizdere Village, 41°06′26.4″ N, 37°20′10.2″E, sea level; 24. Samsun, Terme, Centrum, 41°12′22.4″N, 36°56′14.8″E, sea level; 25. Samsun:Ayvacık, Yenice Village, 41°03′05.5″N, 36°39′17.4″E, 70 m; 26. Samsun: Bafra, Karaköy, 41°31′26.1″N, 36°00′52.5″E, 21 m; 27. Samsun: Centrum, Ataköy, 41°15′22.9″N, 36°17′26.8″E, 150 m; 28. Samsun: Centrum, entrance of Yeşiltepe (Çorak Village), 41°14′29.6″N, 36°16′52.8″E, 32 m; 29. Samsun: Havza, entrance of Mürsel Village, 40°59′26.5″N, 35°43′20.9″E, 642 m; 30. Samsun: Kavak, İdrisli Village, 41°05′45.5″N, 35°59′36.0″E, 706 m; 31. Samsun: Ladik, Tatlıcak Village, 40°55′29.6″N, 35°58′13.1″E, 870 m; 32. Samsun: Ladik, the vicinity of Lake Ladik, 40°54′06.0″N, 35°59′49.9″E, 870 m; 33. Samsun: Ondokuz Mayıs, Yörükler, 41°31′14.8″N, 36°07′23.6″E, sea level; 34. Samsun: Tekkeköy, Kerpiçli Village, 41°09′26.9″N, 36°32′04.4″E, 152 m; 35. Samsun: Vezirköprü, Pazarcı Village, 41°04′18.5″ N, 35°30′23.2″E, 690 m; 36. Tokat: Almus, Centrum, 40°22′35.5″N, 36°54′42.5″E, 803 m; 37. Tokat: Artova, Centrum, 40°06′42.1″N, 36°18′14.3″E, 1170 m; 38. Tokat: Centrum, vicinity of Tokat Airport, 40°18′23.5″N, 36°20′12.0″E, 556 m; 39. Tokat: Erbaa, Dereçiftliği, 40°33′22.3″ N, 36°37′22.4″E, 384 m; 40. Tokat: Niksar, Şahinli Village, 40°35′09.2″N, 36°53′59.5″E, 270 m; 41. Tokat: Reşadiye, Centrum, 40°23′02.9″N, 37°20′06.3″E, 511 m; 42. Tokat: Turhal, 40°20′21.1″N, 36°08′41.2″E, 507 m; 43. Tokat: Turhal, Arzupınar Village, 40°19′43.7″N, 36°10′52.3″E, 608 m. in The Ceratopogonidae (Insecta: Diptera) fauna of the Central Black Sea Region in Turkey
Figure. The Central Black Sea Region of Turkey and sampling sites. Sampling sites: 1. Amasya: Centrum, Firingiler, 40°41′15.9″N, 35°54′45.9″E, 378 m; 2. Amasya: Göynücek, Kışlabeyi Village, 40°23′25.2″N, 35°33′43.1″E, 542 m; 3. Amasya: Gümüşhacıköy, Keçi Village, 40°49′07.5″N, 35°15′35.4″E, 777 m; 4. Amasya: Merzifon, Yakacık Village, 40°53′48.6″N, 35°25′43.9″E, 877 m; 5. Amasya: Suluova, Centrum, 40°49′24.3″N, 35°37′18.0″E, 473 m; 6. Amasya: Suluova, Çayüstü Village, 40°48′43.4″N, 35°38′24.4″E, 495 m; 7. Amasya: Taşova, 40°44′55.5″N, 36°17′49.6″E, 242 m; 8. Amasya: Taşova, Güngörmüş Village, 40°43′41.8″N, 36°17′06.3″E, 279 m; 9. Çorum: Centrum, Güney Village, 40°37′47.6″N, 35°05′58.5″E, 1170 m; 10. Çorum: Laçin, Gökgözler Village, 40°48′48.6″N, 34°50′38.6″E, 434 m; 11. Çorum: Mecitözü, Centrum, 40°31′41.1″N, 35°18′22.3″E, 767 m; 12. Çorum: Mecitözü, Hıdırlı Village, 40°29′19.6″N, 35°15′10.9″E, 918 m; 13. Çorum: Ortaköy, Senemoğlu Village, 40°19′24.0″N, 35°21′37.2″E, 533 m; 14. Çorum: Uğurludağ, Eskiçeltek Village, 40°33′46.6″N, 34°27′00.0″E, 519 m; 15. Ordu: Akkuş, Gökçebayır, 40°43′06.0″ N, 37°01′33.5″E, 920 m; 16. Ordu: Fatsa, Ayazlı, 41°00′32.9″N, 37°27′06.9″E, 130 m; 17. Ordu: Gölköy, 40°40′18.9″N, 37°36′43.4″E, 850 m; 18. Ordu: İkizce, 41°06′07.9″N, 37°07′45.3″E, 50 m; 19. Ordu: Korgan, Terzili Village, 40°42′06.6″N, 37°17′39.2″E, 1246 m; 20. Ordu: Korgan, Yenipınar Village, 40°47′58.0″N, 37°21′31.6″E, 584 m; 21. Ordu: Mesudiye, Centrum, 40°27′42.7″N, 37°46′23.0″E, 1100 m; 22. Ordu: Perşembe, Yumrutaş Village, 41°06′07.7″ N, 37°45′38.3″E, 231 m; 23. Ordu: Ünye, Cevizdere Village, 41°06′26.4″ N, 37°20′10.2″E, sea level; 24. Samsun, Terme, Centrum, 41°12′22.4″N, 36°56′14.8″E, sea level; 25. Samsun:Ayvacık, Yenice Village, 41°03′05.5″N, 36°39′17.4″E, 70 m; 26. Samsun: Bafra, Karaköy, 41°31′26.1″N, 36°00′52.5″E, 21 m; 27. Samsun: Centrum, Ataköy, 41°15′22.9″N, 36°17′26.8″E, 150 m; 28. Samsun: Centrum, entrance of Yeşiltepe (Çorak Village), 41°14′29.6″N, 36°16′52.8″E, 32 m; 29. Samsun: Havza, entrance of Mürsel Village, 40°59′26.5″N, 35°43′20.9″E, 642 m; 30. Samsun: Kavak, İdrisli Village, 41°05′45.5″N, 35°59′36.0″E, 706 m; 31. Samsun: Ladik, Tatlıcak Village, 40°55′29.6″N, 35°58′13.1″E, 870 m; 32. Samsun: Ladik, the vicinity of Lake Ladik, 40°54′06.0″N, 35°59′49.9″E, 870 m; 33. Samsun: Ondokuz Mayıs, Yörükler, 41°31′14.8″N, 36°07′23.6″E, sea level; 34. Samsun: Tekkeköy, Kerpiçli Village, 41°09′26.9″N, 36°32′04.4″E, 152 m; 35. Samsun: Vezirköprü, Pazarcı Village, 41°04′18.5″ N, 35°30′23.2″E, 690 m; 36. Tokat: Almus, Centrum, 40°22′35.5″N, 36°54′42.5″E, 803 m; 37. Tokat: Artova, Centrum, 40°06′42.1″N, 36°18′14.3″E, 1170 m; 38. Tokat: Centrum, vicinity of Tokat Airport, 40°18′23.5″N, 36°20′12.0″E, 556 m; 39. Tokat: Erbaa, Dereçiftliği, 40°33′22.3″ N, 36°37′22.4″E, 384 m; 40. Tokat: Niksar, Şahinli Village, 40°35′09.2″N, 36°53′59.5″E, 270 m; 41. Tokat: Reşadiye, Centrum, 40°23′02.9″N, 37°20′06.3″E, 511 m; 42. Tokat: Turhal, 40°20′21.1″N, 36°08′41.2″E, 507 m; 43. Tokat: Turhal, Arzupınar Village, 40°19′43.7″N, 36°10′52.3″E, 608 m.
Figure. Observed (S obs) and estimated species richness for Chao 2, Jackknife 2, and Bootstrap, calculated for Lumbricidae in East Serbia. Vertical dashed lines represent 50%, 75%, and 100% of the sampling effort, respectively. in A nonparametric approach in quantifying species richness of Lumbricidae in East Serbia, Balkan Peninsula
Figure. Observed (S obs) and estimated species richness for Chao 2, Jackknife 2, and Bootstrap, calculated for Lumbricidae in East Serbia. Vertical dashed lines represent 50%, 75%, and 100% of the sampling effort, respectively.
Figure 1. DNA extraction with two different protocols from different noninvasive samples. Lines 1, 3, 5 in Evaluation of methods for molecular sex-typing of three heron species from different DNA sources
Figure 1. DNA extraction with two different protocols from different noninvasive samples. Lines 1, 3, 5, and 7: DNA extraction with commercial kit; Lines 2, 4, 6, and 8: DNA extracted with modified standard protocol. Lines 1–2: eggshells (Grey Heron); lines 3–4: eggshell swabs (Grey Heron); lines 5–6: pin feathers (Purple Heron); lines 7–8: contour feathers (Great Egret); 9: negative control; M: molecular marker.
Figure. Location of the study area in the Czech Republic near Nové Losiny village (marked by star), delimitation of the studied meadows and placement of pan-traps transects within them. in Comparison of two methods for sampling orthopterans in grassland: differences in species representation and sex ratios
Figure. Location of the study area in the Czech Republic near Nové Losiny village (marked by star), delimitation of the studied meadows and placement of pan-traps transects within them.
Fig. 1. Psyllids sampling with a in First record of Heteropsylla caldwelli Burckhardt (Hemiptera: Psyllidae) from Brazil and its population dynamics on earpod tree in Rio Grande do Sul
Fig. 1. Psyllids sampling with a beating net in the middle in a seven-year-old plantation of Enterolobium contortisiliquum in an abandoned open-pit coal mine in Candiota, RS, between May 2014 and April 2016.
Figure 5 in A standardised analytical framework for sampling fish communities: relevance to Turkish riverine ecosystems
Figure 5. Trend profiles in total richness (a–e) and nativeness (f) recorded over six years of TLM monitoring in four habitats at the six Icon Sites in the River Murray system (codes in Table 1). See also Table 5.
Figure 1 in A standardised analytical framework for sampling fish communities: relevance to Turkish riverine ecosystems
Figure 1. Map of the River Murray system in south-eastern Australia with indication of the six Icon Sites part of The Living Murray initiative (see Table 1).
Figure 1. The sampling stations. 1 in The morphometric and erythrometric analyses of Pelophylax ridibundus living in anthropogenic pollution resources
Figure 1. The sampling stations. 1st station (Dereboğazı); Erzurum-Dereboğazı Village, 28.6 km. 2nd Station (Adaçay); Erzurum- Adaçay, 15.7 km. 3rd station (Erzurum State Airport Square); Erzurum-Airport, 12 km (red square; centrum).
Figure 4 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 4. Abundance (a), polymer characterization (b), and shape (c) of microplastics collected from sediment samples from three lakes.
Figure 2 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 2. Evaluation of the extracted microplastics (MPs) from sediments and mussels. a) Appearance of MPs under a fluorescence microscope using Nile Red fluorescent dye, b) FTIR spectrums of MPs, and c) appearance of MPs under a stereo microscope.
Figure 3 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 3. Characterization of microplastics (MPs) obtained from sediments and mussel samples. The upper panel is the shape, the middle is the polymer type, and the lower panel is the MPs' size.
Figure 1 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 1. Sampling area. Red circles represent the locations of the lakes where sediments and mussels were collected.
Fig. 1 in Potential of unmanned aerial sampling for monitoring insect populations in rice fields
Fig. 1. Rotary-wing unmanned aerial vehicle equipped with remote-controlled insect net openings (a). Layout of double-layered insect net designed to prevent loss of insect samples during aerial sampling (b). Representative flight path of unmanned aerial vehicle for aerial sampling over rice field (c).
Fig. 2 in Updating the distributions of four Uruguayan hylids (Anura: Hylidae): recent expansions or lack of sampling effort?
Fig. 2. Occurrence of Dendropsophus minutus (n = 15), D. nanus (n = 15), Lysapsus limellum (n = 6), and Scinax nasicus (n = 21) in different types of environments. Crops include rainfed crops, rice, sugar cane, and Eucalyptus and/or Pinus afforestations; Natural includes the grasslands, wetlands, and native forests with low anthropic influence (i.e., extensive livestock farming); and Urban refers to urban and peri-urban areas, routes, or industrial plants.
Fig. 1 in Updating the distributions of four Uruguayan hylids (Anura: Hylidae): recent expansions or lack of sampling effort?
Fig. 1. Distribution of Dendropsophus minutus, D. nanus, Lysapsus limellum, and Scinax nasicus in Uruguay. Shaded areas correspond to estimated distributions according to Carreira and Maneyro (2019, yellow), and the closest national protected areas (green). Black dots indicate previous literature records from Gudynas and Rudolf (1983), Langone and Basso (1987), Olmos et al. (1997), Kolenc et al. (2003), Núñez et al. (2004), and Prigioni et al. (2011). New records in the present study are indicated in red. Department names are indicated as follows: AR, Departamento de Artigas; SA, Departamento de Salto; PA, Departamento de Paysandú; RN, Departamento de Río Negro; CL, Departamento de Cerro Largo; and TT, Departamento de Treinta y Tres.
Fig. 3 in Field sampling methods for Asiatic garden beetle (Coleoptera: Scarabaeidae) adult movement and flight in the Great Lakes region
Fig. 3. Mean number of Maladera formosae adults captured in milkjug traps containing either water, ethylene glycol antifreeze, or propylene glycol antifreeze, from 14 to 21 Jul 2021 (a) and from 21 to 28 Jul 2021 (b) in soybean at the Fulton3 site near Wauseon, Ohio. Uppercase letter(s) above each bar indicates significant differences at the P ≤ 0.05 level from pairwise comparison analyses.
Fig. 2 in Field sampling methods for Asiatic garden beetle (Coleoptera: Scarabaeidae) adult movement and flight in the Great Lakes region
Fig. 2. Mean number of Maladera formosae adults captured in pitfall traps during individual evaluation periods at Fulton1 (a) and Fulton2 (b) sites, in northwest Ohio. Uppercase letter(s) above each bar indicates significant differences at the P ≤ 0.05 level from pairwise comparison analyses. Traps were deployed on 28 Jun 2017, 1 wk prior to the sampling data indicated in each figure.
Fig. 1 in Field sampling methods for Asiatic garden beetle (Coleoptera: Scarabaeidae) adult movement and flight in the Great Lakes region
Fig. 1. Sampling methods for Maladera formosae adults: within field – pitfall trap (a) and yellow sticky card (b); at field edge – blacklight trap (c), and antifreeze milkjug trap (d). Photo credit: Adrian Pekarcik, The Ohio State University, Wooster, Ohio, USA.
Fig. 1. Species accumulation curves for 2012 pitfall sampling with each facet representing a in Changes in an invaded Florida ant (Hymenoptera: Formicidae) community over 25 years
Fig. 1. Species accumulation curves for 2012 pitfall sampling with each facet representing a distinct habitat. Curves were generated with incidence data and sites were added randomly to generate these curves. Shaded areas represent the 95% confidence intervals.
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.