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.
5,023
datasets available to search
ShareScore release 0.9.0
Dataset results
5,023 results for “landing”
A high-resolution global land daily drought index dataset during 1979–2022
<p>A global daily drought index dataset named as daily evapotranspiration deficit index (DEDI) is constructed using daily actual evapotranspiration and potential evapotranspiration data provided by European Centre for Medium-Range Weather Forecasts Reanalysis v5 (ERA5). The DEDI dataset has a spatial grid resolution of 0.25°×0.25° and covers global land areas for the period 1979 to 2022. The DEDI dataset can be a good index for assessing the dry and wet severity in terms of spatial patterns and temporal evolutions when compared to other available daily drought indices. Moreover, the DEDI dataset is also demonstrated to have advantages in detecting ecological or agricultural droughts. The DEDI dataset also appears reasonable and promising in facilitating drought monitoring and early warning from a daily perspective.</p><p>This dataset accompanies the following publication: Zhang, X., Duan, J., Cherubini, F. et al. A global daily evapotranspiration deficit index dataset for quantifying drought severity from 1979 to 2022. Sci Data 10, 824 (2023). https://doi.org/10.1038/s41597-023-02756-1</p>
Model inputs and outputs for: Observation-based sowing dates and cultivars significantly affect yield and irrigation for some crops in the Community Land Model (CLM5)
<p>Files used in initial submission of manuscript to <em>Geoscientific Model Development</em>. Files with names beginning sdates and gdds were used as model inputs for some experiments. File with name beginning hdates was used in postprocessing. ZIP archives are model experimental outputs.</p>
Figs 21–25 in Revision of the genus Prestonella (Mollusca: Gastropoda: Orthalicoidea: Bulimulidae s. l.), a distinctive component of the African land snail fauna
Figs 21–25. Prestonella radulae: (21–24) P. nuptialis (NMSA V9778): (21) central field and inner marginals (rachidian and laterals numbered), scale bar = 50 µm; (22) rachidian (R) and inner laterals, scale bar = 25 µm; (23) outer marginals, scale bar = 25 µm; (24) latero-marginal transition, scale bar = 25 µm; (25) P. bowkeri (NMSA V9816) latero-marginal transition, scale bar = 25 µm.
Figs 12–15 in Revision of the genus Prestonella (Mollusca: Gastropoda: Orthalicoidea: Bulimulidae s. l.), a distinctive component of the African land snail fauna
Figs 12–15. Prestonella nuptialis (Melvill & Ponsonby, 1894) and P. quadingensis Connolly, 1932: (12) P. nuptialis holotype, length 11.5 mm (BMNH 1905.1.26.29); (13) undamaged specimen, Cradock, length 13.3 mm (NMSA 1592); (14) P. quadingensis holotype, length 12.2 mm (NMSA J8135/T2835); (15) paratype, length 11.4 mm (BMNH 1937.12.30.7079-80).
Figs 2–6 in Revision of the genus Prestonella (Mollusca: Gastropoda: Orthalicoidea: Bulimulidae s. l.), a distinctive component of the African land snail fauna
Figs 2–6. Prestonella bowkeri (Sowerby, 1890): (2) lectotype of Bulimus (Mesembrinus?) bowkeri Sowerby, 1890, length 19.5 mm (BMNH 89.11.4.9); (3) fresh specimen, Glen Avon Falls, length 18.5 mm (NMSA V9816); (4) eroded specimen, Glen Avon Falls, length 20.5 mm (NMSA 2977); (5) Beaufort West specimen, length 17.7 mm (SAM A8171); (6) side view, length 20.5 mm (NMSA 2977).
Fig. 1 in Revision of the genus Prestonella (Mollusca: Gastropoda: Orthalicoidea: Bulimulidae s. l.), a distinctive component of the African land snail fauna
Fig. 1. Distribution of Prestonella. The genus is endemic to southern Africa, occurring in south-western Lesotho and along the southern edge of the Great Escarpment in South Africa (1000–1750 m a.s.l.); contour at 1000 m, showing approximate position of Great Escarpment.
Figs 7, 8 in Revision of the genus Prestonella (Mollusca: Gastropoda: Orthalicoidea: Bulimulidae s. l.), a distinctive component of the African land snail fauna
Figs 7, 8. Prestonella protoconchs: (7) P. bowkeri, Nuweveldberg, Beaufort West (SAM, A8171); (8) P. nuptialis, protoconch. Scale bars = 0.5 mm.
Figs 19, 20 in Revision of the genus Prestonella (Mollusca: Gastropoda: Orthalicoidea: Bulimulidae s. l.), a distinctive component of the African land snail fauna
Figs 19, 20. Prestonella bowkeri and Prestonella nuptialis, living specimens: (19) P. bowkeri, shell length 18.0 mm, Glen Avon Falls (NMSA V9816); (20) P. nuptialis, shell length 13.0 mm, Fenella Falls (NMSA W5507).
Figs 17, 18 in Revision of the genus Prestonella (Mollusca: Gastropoda: Orthalicoidea: Bulimulidae s. l.), a distinctive component of the African land snail fauna
Figs 17, 18. Habitat of Prestonella nuptialis, Elandsberg, Cradock: (17) Elandsberg with its summit in cloud, on a day when no rainfall was recorded in the surrounding landscape; (18) vertical rock faces near summit, with crevices and overhangs in which the species lives.
Figs 10, 11 in Revision of the genus Prestonella (Mollusca: Gastropoda: Orthalicoidea: Bulimulidae s. l.), a distinctive component of the African land snail fauna
Figs 10, 11. Habitat of Prestonella bowkeri, above Glen Avon falls, Somerset East: (10) flat river bed with near vertical rock wall on south-facing bank, (11) cluster of more than 100 individuals under an overhang in the rock wall.
Figs 27, 28 in Revision of the genus Prestonella (Mollusca: Gastropoda: Orthalicoidea: Bulimulidae s. l.), a distinctive component of the African land snail fauna
Figs 27, 28. Prestonella nuptialis (NMSA V9778): (27) pulmonary anatomy (abbreviations: an – anus, aur – auricle, int – intestine, kid – kidney, pc – pericardium, pn – pneumostome, pu – primary ureter, pv – pulmonary vein, rec – rectum, su – secondary ureter, urp – ureteric pore, ven – ventricle); (28) genital anatomy (abbreviations: alb – albumen gland, bc – bursa copulatrix, eph – epiphallus, flg – flagellum, ga – genital atrium, hd – hermaphrodite duct, od – oviduct, ot – ovotestis, pen – penis, pr – prostate gland, prm – penis retractor muscle, vd – vas deferens).
Fig. 2 in Pupa menkeana Pfeiffer, 1853, type species of the speciose land snail genus Gulella Pfeiffer, 1856: correction of longstanding PLVLGHQWL¿FDWLRQ DQG GHVLJQDWLRQ RI QHRW\SH (Mollusca: Eupulmonata: Streptaxidae)
Fig. 2. (A, B) lectotype and paralectotype of Ennea adamsiana Pfeiffer, 1859 in 1854–1860, 'Port Natal, M.C. [Mus. Cuming]', length 8.45 and 8.1 mm (NHMUK 20110168); (C, D) syntypes of Ennea impervia Melvill & Ponsonby, 1896, 'Natal', length 8.8 and 8.75 mm (NHMUK 1903.3.11.85–86); (E) holotype of Ennea aurisleporis Melvill & Ponsonby, 1898, 'Natal', length 6.65 mm (NHMUK 1903.3.11.69); (F) holotype of Ennea socratica Melvill & Ponsonby, 1893, 'Pietermaritzburg', length 8.45 mm (NHMUK 1903.3.11.78); (G) Gulella menkeana, small inland form, Cumberland, Pietermaritzburg, length 7.2 mm (NMSA V9709); (H) G. menkeana, large form from coastal E. Cape, Port St Johns, length 9.24 mm (NMSA W561); (I) Pupa wahlbergi Krauss, 1848, probable paratype in SMNH, length 10.1 mm (SMNH-Type-2112); (J, K) P. wahlbergi Krauss, 1848, neotype, Durban Bluff, length 9.84 mm, diameter 4.92 mm (NMSA W7942/T2669); (L) holotype of Ennea formosa Melvill & Ponsonby, 1898, Pietermaritzburg, length 7.75 mm (NHMUK 1903.3.11.79).
Figure 8 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 8. Examined and verified occurrence records of (A) P. annabelli and (B) P. morti from the Australian Museum dry collection. Main maps showing records in NSW, Queensland and Victoria. Insets showing all of Australia. Source of base map: Hans Braxmeier, maps-for-free.com.
Figure 6 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 6. Boxplots showing comparisons between Paralaoma annabelli and Paralaoma morti in shape metrics: (A) SW/SH, (B) SW/ NOW, (C) SH/NOW, (D) BWH/SH, (E) AW/SW, (F) AH/SH, (G) AH/BWH, (H) AH/AW, and (I) UW/SW. Asterisk above pairwise comparisons of the two species indicate significant difference (p ≤ 0.003) with a Wilcoxon Rank Sum Test with Bonferroni correction.
Figure 5 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 5. Boxplots showing comparisons between Paralaoma annabelli and Paralaoma morti in size and shape metrics: (A) Umbilicus width, (B) Shell width, (C) Shell height, (D) Protoconch width, (E) Body whorl height, (F) Aperture height, (G) Aperture width, (H) Number of whorls, and (I) UW/NOW. Asterisk above pairwise comparisons of the two species indicate significant difference (p ≤ 0.003) with a Wilcoxon Rank Sum Test with Bonferroni correction.
Figure 4 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 4. Best Maximum Likelihood tree based on analysis of ELAV-I8 sequences. Numbers on branches indicate nodal support based on 10,000 ultra-fast bootstrap replicates. Scale bar indicating 2% of modelled sequence divergence. Note that the species for the immature specimens were misidentified (L638 = Iotula microcosmos misidentified as P. morti; L645 = Pseudiotula eurysiana misidentified as P. annabelli).
Figure 3 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 3. Best Maximum Likelihood tree based on analysis of the concatenated dataset of 16S and COI genes. Numbers on branches indicate nodal support by 10,000 ultra-fast bootstrap replicates. Scale bar indicating 10% of modelled sequence divergence. Note that the species for the immature specimens were misidentified (L638 = Iotula microcosmos misidentified as P. morti; L645 = Pseudiotula eurysiana misidentified as P. annabelli).
Figure 2 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 2. Shell dimensions measured. Abbreviations: SW, shell width; AW, aperture width; SH, shell height; BWH, body whorl height; AH, aperture height; UW, umbilicus width; and PW, protoconch width.
Figure 1 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 1. Shells of (A–B) Paralaoma morti and (C–D) Paralaoma annabelli: (A) lectotype, Darling Point (AM C.031181); (B) Woollahra, 1 km from lectotype locality of P. morti (AM C.347565); (C) holotype, Wombeyan Caves (AM C.353384); (D) Jenolan Caves (AM C.466715). Main scale bar = 1 mm. Inset scale bar = 100 µm.
Figure 7 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 7. Scatterplots of shell shape metrics for Paralaoma annabelli and Paralaoma morti: (A) AH/AW, (B) UW/SW, (C) SW/SH, (D) SW/NOW, (E) UW/NOW, (F) BWH/SH, (G) AW/SW, (H) AH/SH, (I) AH/BWH, and (J) SH/NOW.
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.