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.
2,399
datasets available to search
ShareScore release 0.7.1
Dataset results
2,399 results for “Fragmentation”
FIGURE 17. Ultrastenos huberi, pterygoid fragments. A in A reinterpretation and taxonomic revision of Ultrastenos willisi Stein, Hand and Archer, 2016, a short-snouted mekosuchine crocodylian from the Oligocene of northern Australia
FIGURE 17. Ultrastenos huberi, pterygoid fragments. A: QM F42665, right pterygoid in articulation with right ectopterygoid in ventral view. B: QM F31076, pterygoid pair in ventral view. Abbreviations: ect, ectopterygoid; ecss, sutural surface for articulation with the ectopterygoid; palss, sutural surface for articulation with the palatine; sofm, margin of the suborbital fenestra; vptr, ventral pterygoid ridge. Scale bar equals 10 mm.
Figs. 1 A, B. A. Richness and B in Influence of the Edge Effect on A Soil Seed BAnk of A NAturAl FrAgment in the AtlAntic Forest
Figs. 1 A, B. A. Richness and B. abundance of the soil seed bank in relation to the edge from Mata Grande of the PEI.
Fig. 3 in Influence of the Edge Effect on A Soil Seed BAnk of A NAturAl FrAgment in the AtlAntic Forest
Fig. 3 NMDS of the composition of the soil seed bank differences in distances from the edge from Mata Grande of the PEI.
Figs. 2 A, B. A in Influence of the Edge Effect on A Soil Seed BAnk of A NAturAl FrAgment in the AtlAntic Forest
Figs. 2 A, B. A Linear regression of the richness and B. abundance of the soil seed bank in relation to the edge from Mata Grande of the PEI (y=Ax+B).
FIGURE 1 in When roads cross streams: fish assemblage responses to fluvial fragmentation in lowland Amazonian streams
FIGURE 1 | Sampled streams location in northeastern Pará, Brazil. Circle: Igarapé Buiuna; Diamond: Igarapé Laranjal; Square: Igarapé São João; Star: Igarapé Pirapema; Triangle: Igarapé Timboteua.
FIGURE 2 in When roads cross streams: fish assemblage responses to fluvial fragmentation in lowland Amazonian streams
FIGURE 2 | ANOVA results for environmental significant differences among stream reach groups. A. Depth; B. Water flow. D: Downstream reaches from impoundments; I: Impounded reaches; U: Upstream reaches from impoundments.
FIGURE 3 in When roads cross streams: fish assemblage responses to fluvial fragmentation in lowland Amazonian streams
FIGURE 3 | NMDS results for fish assemblage composition in northeastern Amazonian streams. A. Taxonomic composition. Fitted variables: Dep: average depth; Mac: macrophytes; Sdiv: substrate diversity; Vis: visibility; WF: average water flow. B. Functional composition. Fitted variables: CoL: coarse litter; Dep: average depth; Mac: macrophytes; MaxT: maximum temperature; San: sand; WF: average water flow. Dot-dashed polygon: Upstream reaches (U); Dotted polygon: Downstream reaches (D); Dashed polygon: Impounded reaches (I). For species and functional groups codes, see Tab. S1.
Fig. 5. Sample-based rarefaction curve with 95 in Crepuscular and nocturnal hawkmoths (Lepidoptera: Sphingidae) from a fragment of Atlantic rainforest in the state of São Paulo, southeastern Brazil
Fig. 5. Sample-based rarefaction curve with 95% confidence interval and results of the richness estimators (triangle: Jackknife 1; X: Jackknife 2; open circle: ICE; square: Chao 2).
Fig. 4 in Crepuscular and nocturnal hawkmoths (Lepidoptera: Sphingidae) from a fragment of Atlantic rainforest in the state of São Paulo, southeastern Brazil
Fig. 4. Sphingidae richness (A) and abundance (B) by month of sampling. Line represents monthly mean temperatures.
Triple-resonance NMR spectra of Tau 1-239 protein fragment acquired at 5 C, 10 C and 15 C
<p>Dataset used in a paper "Using temperature coefficients to support resonance<br>assignment of intrinsically disordered proteins" by Paulina Putko, Javier Agustin Romero, Christian F. Pantoja, Markus<br>Zweckstetter, Krzysztof Kazimierczuk, and Anna Zawadzka-Kazimierczuk</p> <p>The following spectra have been collected:</p> <table> <tbody> <tr> <td>Experiments<br>T : 5 C</td> <td>NUS points<br>(Recorded)</td> <td>NS (scans)<br>(Recorded)</td> </tr> <tr> <td>HNCO</td> <td>600</td> <td>4</td> </tr> <tr> <td>HN(CA)CO</td> <td>1000</td> <td>16</td> </tr> <tr> <td>HNCA</td> <td>600</td> <td>8</td> </tr> <tr> <td>HN(CO)CA</td> <td>450</td> <td>8</td> </tr> <tr> <td> <p>CBCA(CO)NH</p> <p>(HAHB)CBCA(CO)NH</p> </td> <td>1000</td> <td> </td> </tr> <tr> <td>Experiments<br>T : 10 C</td> <td>NUS points<br>(Recorded)</td> <td>NS (scans)<br>(Recorded)</td> </tr> <tr> <td>HNCO</td> <td>600</td> <td>4</td> </tr> <tr> <td>HN(CO)CA</td> <td>450</td> <td>8</td> </tr> <tr> <td>(HAHB)CBCA(CO)NH</td> <td>1000</td> <td>8</td> </tr> <tr> <td>Experiments<br>T : 15 C</td> <td>NUS points<br>(Recorded)</td> <td>NS (scans)<br>(Recorded)</td> </tr> <tr> <td>HNCO</td> <td> 600</td> <td> 4</td> </tr> <tr> <td>HN(CO)CA</td> <td> 450</td> <td> 8</td> </tr> <tr> <td>(HAHB)CBCA(CO)NH</td> <td> 1000</td> <td> 8</td> </tr> <tr> <td> </td> <td> </td> <td> </td> </tr> </tbody> </table>
Рис. 1. Teratocephalus lirellus Andrassy, 1969: A — трофико-сенсорный отΑеΛ теΛа; B — поΛовая система; C — фрагмент теΛа с боковым поΛем; D — хвост; E — фрагмент поΛовой системы и среΑней кишки; F, G — переΑний конец теΛа. am — амфиΑы, lf — боковое поΛе, v — вуΛьва, cc — гоΛовная капсуΛа, pu — заΑняя матка, au — переΑняя матка, r — ренетта, ep — экскреторная пора, o — яичник Fig. 1. Teratocephalus lirellus Andrassy, 1969: A — trophic-sensory part of the body; B — reproductive system; C — fragment of the body with a lateral field; D — tail; E — fragment reproductive system and intestine; F, H — anterior end of the body. am — amphid; lf — lateral field; v — vulva; cc — cephalic capsule; pu — posterior uterus; au — anterior uterus; r — renetta; ep — excretory pore; o — ovary in Recent data on soil nematodes of the families Teratocephalidae and Metateratocephalidae from Primorsky Region, Russia
Рис. 1. Teratocephalus lirellus Andrassy, 1969: A — трофико-сенсорный отΑеΛ теΛа; B — поΛовая система; C — фрагмент теΛа с боковым поΛем; D — хвост; E — фрагмент поΛовой системы и среΑней кишки; F, G — переΑний конец теΛа. am — амфиΑы, lf — боковое поΛе, v — вуΛьва, cc — гоΛовная капсуΛа, pu — заΑняя матка, au — переΑняя матка, r — ренетта, ep — экскреторная пора, o — яичник Fig. 1. Teratocephalus lirellus Andrassy, 1969: A — trophic-sensory part of the body; B — reproductive system; C — fragment of the body with a lateral field; D — tail; E — fragment reproductive system and intestine; F, H — anterior end of the body. am — amphid; lf — lateral field; v — vulva; cc — cephalic capsule; pu — posterior uterus; au — anterior uterus; r — renetta; ep — excretory pore; o — ovary
Рис. 2. Euteratocephalus montanus sp. n.: A — трофико-сенсорый и трофико-генитаΛьный отΑеΛы теΛа; B — хвост; C — трофико-генитаΛьный отΑеΛ теΛа; D — фрагмент теΛа с боковым поΛем; E, F — переΑний конец теΛа. am — амфиΑы, lf — боковое поΛе, v — вуΛьва, va — вагина, g — гемизониΑ, cc — гоΛовная капсуΛа, ve — «жеΛуΑочек», pr — преректум,r — ренетта, f — фазмиΑа,ep — экскреторная пора, o — яичник, e — яйцо Fig. 2. Euteratocephalus montanus sp. n.: A — trophic-sensory and trophic-reproductive parts of the body; B — tail; C — trophic-reproductive part of the body; D — fragment of the body with a side field; E, F — anterior end of the body. am — amphid, lf — lateral field; v — vulva; va — vagina; g — gemizonid; cc — cephalic capsule; ve — "ventricle"; pr — prerectum; r — renetta; f — phasmids, ep — excretory pore; o — ovary; e — egg in Recent data on soil nematodes of the families Teratocephalidae and Metateratocephalidae from Primorsky Region, Russia
Рис. 2. Euteratocephalus montanus sp. n.: A — трофико-сенсорый и трофико-генитаΛьный отΑеΛы теΛа; B — хвост; C — трофико-генитаΛьный отΑеΛ теΛа; D — фрагмент теΛа с боковым поΛем; E, F — переΑний конец теΛа. am — амфиΑы, lf — боковое поΛе, v — вуΛьва, va — вагина, g — гемизониΑ, cc — гоΛовная капсуΛа, ve — «жеΛуΑочек», pr — преректум,r — ренетта, f — фазмиΑа,ep — экскреторная пора, o — яичник, e — яйцо Fig. 2. Euteratocephalus montanus sp. n.: A — trophic-sensory and trophic-reproductive parts of the body; B — tail; C — trophic-reproductive part of the body; D — fragment of the body with a side field; E, F — anterior end of the body. am — amphid, lf — lateral field; v — vulva; va — vagina; g — gemizonid; cc — cephalic capsule; ve — "ventricle"; pr — prerectum; r — renetta; f — phasmids, ep — excretory pore; o — ovary; e — egg
Fig. 3 in Avian Assemblages in Forest Fragments do not Sum to the Expected Regional Community in the Brazilian Atlantic Forest.
Fig. 3. The number of local Atlantic Forest species by forest fragment size (log10 scales), showing that the number increases with fragment size (F = 13.4, r2 = 0.625, p = 0.0065).
Fig. 2 in Avian Assemblages in Forest Fragments do not Sum to the Expected Regional Community in the Brazilian Atlantic Forest.
Fig. 2. Numbers of species and similarities (PCoA) among the 10 Atlantic Forest fragments in southern Bahia, Brazil. A) Species accumulation curves, illustrating that with over 5000 sightings, the predicted total number of species had not been reached in any fragment, or in all fragments combined. Also, the similarity of the curves and their lack of a relationship with fragment size suggests that all fragments are similar with respect to accumulation of species. Note that both axes are log10 scaled. B) Principal Coordinate Analysis, using Bray similarities, illustrating that similarity among fragments was always low. Larger symbols indicate fragment centroids, and each smaller point indicates a sample list of species (see text). No particular pattern is evident, and all fragments are variable and do not form groups based on fragment size.
Fig. 4 in Avian Assemblages in Forest Fragments do not Sum to the Expected Regional Community in the Brazilian Atlantic Forest.
Fig. 4. Functional diversity analysis comparing different-sized fragments and functional evenness, dispersion, and divergence. A–C: Black squares and lines indicate the Atlantic Forest expected regional assemblage, circles and lines indicate the observed assemblages, with blue indicated only the Atlantic Forest species, and the open circle indicates all observed species (all based on presence-absence). D–F: estimated from presence-absence data of the expected local assemblage that were absent from the fragment. Regression results are presented in table 3.
Fig. 2 in Fig. 4 in Transplantation Tests of Precious Coral Fragments Using Small-sized Artificial Substratum.
Fig. 2. Index map (A) and release points of transplanted substrates in southwest Kochi Prefecture (B). a and b: this study, c and d: Nagamune (1918), and Kuno (1922). respectively. Table 1. Release and collection dates of transplanted substrates
Fig. 4 in Fig. 4 in Transplantation Tests of Precious Coral Fragments Using Small-sized Artificial Substratum.
Fig. 4. Examples of the coral fragments showing substantial growth. Coenenchyme and branch growth, cross-section repair, and polyp increase were confirmed. Left side with capital letters: Before the release. Right side with small letters: After the collection. A and a: 215 days (Jul. 26, 2016, to Feb. 26, 2017), B and b: 328 days (Feb. 26, 2017, to Jan. 20, 2018), C and c: 340 days (Jul. 26, 2016, to Jul. 1, 2017), D and d: 363 days (Jun. 9, 2017, to Jun. 7, 2018), E and e: 461 days (Feb. 26, 2017, to Jun. 2, 2018), F and f: 936 days (Jul. 1, 2017, to Jan. 22, 2020). Scale bars = 10 mm. A–B is based on Koido and Toshino (2022).
Fig. 3 in Fig. 4 in Transplantation Tests of Precious Coral Fragments Using Small-sized Artificial Substratum.
Fig. 3. An example of living broken and dead fragments. A: Coenenchyme had spread over the mount with the formation of many tiny polyps. Blue arrow: cross section was covered with coenenchyme, and a polyp had formed. Green arrow: Newly growing branch. B: Comparison of the dead specimen. Left: Before the release (Jun. 9, 2017). Right: After the collection (Jun. 7, 2018). Scale bars = 10 mm.
Fig. 1. Precious coral colonies used for transplantation. A in Fig. 4 in Transplantation Tests of Precious Coral Fragments Using Small-sized Artificial Substratum.
Fig. 1. Precious coral colonies used for transplantation. A: Before cutting. The broken yellow line shows the separation line. B: After cutting. C: Precious coral fragments were transplanted on the concrete part of substrate (Kaiso-kun). D: Pre-release substrate. Blue arrows show fragments detached along with epoxy mount. E: Recovered substrate. C–E is based on Koido and Toshino (2022).
Fig. 1. A in Seasonality, richness and prevalence of intestinal parasites of three neotropical primates (Alouatta seniculus, Ateles hybridus and Cebus versicolor) in a fragmented forest in Colombia
Fig. 1. A. Trichuris sp., B. Oxyuridae, C. Ancylostomatidae, D. Strongyloides sp. (larva), E. Ascarididae, F. Gnathostomatidae, G. Trichostrongylidae, H-I. Trematodes, J. Entamoeba sp. (cyst), K. Acanthocephala, L. Balantidiidae.
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.