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.
7,378
datasets available to search
ShareScore release 0.9.0
Dataset results
7,378 results for “case”
Figure 4 in From Eradication to Containment: Invasion of French Polynesia by Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) and Releases of Two Natural Enemies: A 17-Year Case Study
Figure 4. Annual proportion of fruit fly (B. dorsalis, B. tryoni, B. kirki) and parasitoid (F. arisanus, D. longicaudata) emergences in guava, tropical almond, Tahitian chestnut, and mango fruits for selected years.
Figure 3a, b in From Eradication to Containment: Invasion of French Polynesia by Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) and Releases of Two Natural Enemies: A 17-Year Case Study
Figure 3a, b. Coconut husk block (a) and BactroMAT-ME (b) bait stations used for eradication of B. dorsalis. (Photos: L. Leblanc).
Figure 1 in From Eradication to Containment: Invasion of French Polynesia by Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) and Releases of Two Natural Enemies: A 17-Year Case Study
Figure 1. Monthly captures of B. dorsalis in methyl eugenol traps and quarterly percent parasitism on guava, Tahitian chestnut and tropical almond on Tahiti.
Figure 5a–d in From Eradication to Containment: Invasion of French Polynesia by Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) and Releases of Two Natural Enemies: A 17-Year Case Study
Figure 5a–d. Quarterly emergences on Tahiti of B. dorsalis and F. arisanus per fruit for guava (a), Tahitian chestnut (b), tropical almond (c), and mango (d). Numbers of fruits used for each host and each year (for guava, Tahitian chestnut, tropical almond and mango, respectively) were: 1998: 1634, 16238, 5314, 67; 1999: 264, 304, 993, 404; 2000: 37, 40, 154, 64; 2001: 52, 0, 20, 74; 2002: 492, 1204, 474, 268; 2003: 1531, 1539, 2685, 977; 2004: 2252, 1324, 810, 291; 2005: 1071, 904, 4373, 436; 2006: 1927, 3343, 3140, 1044; 2007: 1537, 1525, 4200, 1814; 2008: 3255, 2648, 5045, 2052; 2009: 1515, 1972, 5475, 549.
Figure 1. A in Is there a future for artisanal fishing in the Amazon? The case of Arapaima gigas
Figure 1. A) First sightings of Arapaima gigas (pirarucu) by fishermen in the area of the Santo Antônio reservoir (Madeira River) by decade; B) the possible origin of Arapaima gigas (pirarucu) in the Brazil-Bolivia border fish market and in the Santo Antônio Reservoir, where new occurrences are reported. Legend: Pisci = Fish farming.
Figure 2 in Is there a future for artisanal fishing in the Amazon? The case of Arapaima gigas
Figure 2. Madeira River study area highlighting the locality (grey square) where the native pirarucu (Araipama gigas) populations exist, and the localities (asterisks) where non-native pirarucu have expanded since 2000 according to the reports of fishermen. Inserted graphs show the fishery production landed in the region of Guajará Mirim (Brazil) in 2016 (Source: present study) and Riberalta (Bolívia) in 2011 (Méndez et al. 2012).
Figure 3 in Is there a future for artisanal fishing in the Amazon? The case of Arapaima gigas
Figure 3. Invasive Arapaima gigas (pirarucu) fished by a local angler in Mamoré River at Brazil-Bolivia border (Picture courtesy of: Fihsher's Association of Guajará Mirim).
Figure 1 in The value of regular monitoring and diverse sampling techniques to assess aquatic non-native species: a case study from Orkney
Figure 1. Locations of the monitoring sites. A: North of Orkney Mainland and northern isles, B: Scapa Flow and southern isles. For corresponding site names refer to Supplementary material Table S1.
Figure 3 in The value of regular monitoring and diverse sampling techniques to assess aquatic non-native species: a case study from Orkney
Figure 3. The total number of sites for which each non-native or cryptogenic species has been recorded for each sampling method for 2016 and 2017. NB: Only species recorded in these two years are reported in this figure. Abbreviations: Cm: Caprella mutica, As: Ascidiella scabra, Bh: Bonnemaisonia hamifera, Sj: Schizoporella japonica, Ce: Corella eumyota, Aa: Ascidiella aspersa, Cp: Colpomenia peregrina, Cf: Codium fragile ssp. fragile, Ti: Tricellaria inopinata, Ah: Asterocarpa humilis, Bs: Botryllus schlosseri, Bl: Botrylloides leachii, Mh: Melanothamnus harveyi, Bf: Bugulina fulva, Dj: Dasysiphonia japonica, Jm: Jassa marmorata, Mi: Monocorophium insidiosum, Ma: Monocorophium acherusicum, Cs: Ctenodrilus serratus, Tj: Telmatogeton japonicus, Pa: Potamopyrgus antipodarum, Cb: Crassicorophium bonellii, Dl: Diplosoma listerianum.
Figure 1 in A low number of introduced marine species in the tropics: a case study from Singapore
Figure 1. Map of Singapore showing localities mentioned in the text and the amount of land reclaimed since 1950.
Figure 3. Guettarda speciosa L. A in Katot yan panao: A case study of indigenous botanical nomenclature in the scientific literature
Figure 3. Guettarda speciosa L. A) Common habitus as shrubby tree, Guam (130198175). B) Leaves crowded at branch terminus, Guam (12922175). C) Flowers and buds, Saipan (7100716). D) Fruit, Aitutaki, Cook Islands (163554764). Image numbers from iNaturalist (www.inaturalist.org); photographers: C. Certeza (A), M. Freedman (B), M. Kargul (C), A. Chapman (D); licensing: CC BY-NC (A–C), CC BY-NC-SA (D).
Figure 4. A in Katot yan panao: A case study of indigenous botanical nomenclature in the scientific literature
Figure 4. A) Type specimens of Claoxylon marianum Muell.-Arg. (G 00313924). B) Gaudichaud's field number " 248 " with Chamoru name " Catud Cunau (Catoud Counao) ". C) Field number " 63 " and the Chamoru name " Panao ". D) A note indicating " Ç'est plutôt un Claxylon[sic]! Juss. " E) Gaudichaud ' s signature and date. F–G) Page six of Gaudichaud's inventory of Mariana plants in which he originally listed specimen 63 as " Guettarda ". Images © Conservatoire et Jardin botaniques de la Ville de Genève with permission (A–E) and public domain, courtesy F. Wamprechts (F–G).
Figure 2 in Katot yan panao: A case study of indigenous botanical nomenclature in the scientific literature
Figure 2. Claoxylon marianum Muell.Arg. (Euphorbiaceae), Guam. A) Common habitus as shrubby tree (94524278). B) Toothed leaves crowded at branch terminus (86964495). C) Male flowers and buds (153656635). D) Female flowers and fruit (86964496). Image numbers from iNaturalist (www.inaturalist.org); photographers: N. Sablan (A, C), M. Martinez (B, D); licensing: © the author with permission (A, C), CC BY-NC (B, D).
Figure 1 in Katot yan panao: A case study of indigenous botanical nomenclature in the scientific literature
Figure 1. Dendrocnide latifolia (Gaud.) Chew (Urticaceae). A) Common habitus as shrubby tree, Saipan (104853909). B) Leaves crowded at branch terminus, Rota (12946963). C) Female flowers and leaf abscission scars on branches, Guam (34476422). D) Male flowers, Guam (34476420). Image numbers from iNaturalist (www.inaturalist.org); photographers: H. Rogers (A), M. Freedman (B), PACN Vegetation Program (C–D); licensing: © the author with permission (A), CC BY-NC (B–D).
Figure 5 in The First Cases of Evolving Glyphosate Resistance in UK Poverty Brome (Bromus sterilis) Populations
Figure 5. Calculated glyphosate GR50 values from log-logistic dose–response model of 11 field-collected B. sterilis populations from the United Kingdom. Error bars are standard error of GR50 parameter estimates.
Figure 2 in The First Cases of Evolving Glyphosate Resistance in UK Poverty Brome (Bromus sterilis) Populations
Figure 2. Percentage reduction in foliage dry weight relative to untreated controls for 35 UK B. sterilis populations treated with 270 g glyphosate ha − 1. Shaded bars represent sensitive (dark gray) and suspected resistant (gray) populations based upon the initial glyphosate screen. Error bars are standard error of the mean.
Figure 1 in The First Cases of Evolving Glyphosate Resistance in UK Poverty Brome (Bromus sterilis) Populations
Figure 1. Mean foliage fresh weight per plant (g) for suspected glyphosate-resistant (OXON-R and SEL-R) and glyphosate-sensitive (ADAS and SEL-S) populations of B. sterilis following glyphosate treatment: untreated control (gray), 360 g ha − 1 (white), and 540 g ha − 1 (dark gray). Error bars are standard error of the mean.
Figure 4 in The First Cases of Evolving Glyphosate Resistance in UK Poverty Brome (Bromus sterilis) Populations
Figure 4. Glyphosate dose–response curves for survival of three suspected glyphosate-resistant B. sterilis populations (SEL-R, OXON-R, and 09D118) and three glyphosatesensitive populations (SEL-S, OXON-S, and ADAS). Symbols represent mean observed survival data, and lines are fitted regression models. (A) SEL-R (continuous line) and SEL-S (dashed line); (B) OXON-R (continuous line) and OXON-S (dashed line); and (C) 09D118 (continuous line) and ADAS (dashed line).
Fig. 5 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil
Fig. 5. Selected specimens from the UFRGS' collection showing the effect of trephic factors. The blocks UFRGS-PV-0453-Ta (A) and UFRGS-PV- 0453-Tb (B) were affected by fragmentation and the several fragments stored with different catalogue numbers.
Fig. 4 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil
Fig. 4. Comparison between the three institutions (A–C) and relationship with sampling pulses over the years. Histograms are aligned and calibrated with regards to timeline. The dashed rectangle in C indicates the period of collaboration between MCN/SEMA-RS and PUC-RS. Abbreviations: Ap, Abdala pulse; BMp, Bertoni-Machado pulse; dp, discovery pulse; PGPp, "Programa Pró-Guaíba" ("Pró-Guaíba" Program) pulse.
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.