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zenodo40/100

Supporting data for "A service to help insurers understand the financial impacts of changing flood risk in Europe, based on PESETA IV"

<p>Supporting data for the paper &quot;A service to help insurers understand the financial impacts of changing flood risk in Europe, based on PESETA IV&quot;.</p> <p><a href="https://doi.org/10.1016/j.cliser.2023.100395">https://doi.org/10.1016/j.cliser.2023.100395</a></p>

openodc-odblMay 2023View details →
zenodo40/100

Figs 10‒12 in Can biogeography help bumblebee conservation?

Figs 10‒12. Current regional preponderance of the two principal bumblebee groups. 10. Comparison of species richness for Lowland Grassland (LG: in green) and Montane Grassland (MG: in blue) bumblebees (groups as in Fig. 6). The map overlays numbers of species (Figs 7–8) in green and blue (Williams &amp; Gaston 1998) within equal-area grid cells (Fig. 1). Both colour axes are transformed to give near-uniform frequency distributions among classes along both axes (so that the scales differ among the figures, see the colour-scale boxes to the upper right of each map). Cells with high richness on both green and blue axes appear white, whereas cells with low richness on both axes appear black, with areas of intermediate and precisely covarying richness appearing in shades of grey. By contrast, deviations from an overall positive relationship appear as increasingly saturated green or blue, showing an 'excess' richness of one axis over the other (the colour values represented on the map are indicated in the scale box with grey spots). Background map as in Fig. 1. 11. Similar comparison of LG (in green) and MG (in blue) bumblebee richness across Europe from the European guide data (Rasmont et al. 2021) on a 2° × 2° grid (not equal-area grid cells) with north at the top of the map. 12. Comparison of LG (in green) and MG (in blue) bumblebee richness across Britain from the bumblebee atlas data (Alford 1980) on a 10 × 10 km grid with north at the top of the map.

opencc-by-4.0Aug 2023View details →
zenodo40/100

Fig. 1 in Can biogeography help bumblebee conservation?

Fig. 1. Revising bumblebee species world-wide. The total bumblebee (indigenous) species richness is highest in Asia, especially in the Himalaya and Hengduan Mountains on the southern and eastern fringes of the Qinghai-Tibetan Plateau (Williams 1998, data updated). There are no indigenous bumblebees in sub-Saharan Africa, lowland India, or in Australia and New Zealand (and Antarctica). Species numbers peak in the region of Xining, Qinghai. Even when mapping such a globally well-sampled group as bumblebees, using a coarse-scale equal-area grid reduces species-area effects, reduces the effects of sampling heterogeneity (species-accumulation curves for these large grid cells are more nearly asymptotic than for many smaller grid cells), and smooths the effects of local habitat variation. The grid is based on intervals of 10° longitude, which are used to calculate graduated latitudinal intervals so as to provide equal-area cells (each cell has an area of approximately 611 000 km²). The colour scale has equal-frequency richness classes. Cylindrical orthomorphic equal-area projection (excluding Antarctica) with north at the top of the map. Lower left, inset: field-work sites sampled for bumblebees by the author 1971–2018 (red spots).

opencc-by-4.0Aug 2023View details →
zenodo40/100

Figs 2‒5. Biogeographic boundaries and the Central Asian deserts. 2 in Can biogeography help bumblebee conservation?

Figs 2‒5. Biogeographic boundaries and the Central Asian deserts. 2. Principal faunal (biogeographic) regions world-wide derived directly from bumblebee data, include an Oriental Region (1, black), a Southeast Asian Region (2, light grey), a Palaearctic Region (3, dark grey), a North American Region, (4, mid grey), a Mesoamerican Region (5, light grey), an Andean Region (6, dark grey), and a Lowland South American Region (7, light grey). Principal faunal regions are identified from grid-cell bumblebee faunas (Fig. 1) using the TWINSPAN procedure that combines ordination with classification (Williams 1996, data updated). Background map as in Fig. 1. 3. One of the most marked transition zones between bumblebee faunas globally (in orange) corresponds to the arid zone of the Central Asian deserts (the centre of this arid belt is traced by the dotted black line). The map scores measure the differences in species composition among bumblebee faunas within neighbourhoods of grid cells (Fig. 1) using the β-3 spatial turnover index (Williams 1996; Williams et al. 2022b). Background map and colour scale as in Fig. 1. 4. Image of Asia based on satellite images shows wet (green) and arid (yellow) regions, with the Central Asian desert belt, its centre traced out with a dotted red line (cf. Fig. 3). Image (without line) from GoogleEarth. 5. Searching for bumblebees across the Central Asian arid belt of Inner Mongolia with Huang Jiaxing – in the northern wooded/grassland edge zones finding some old favourites from Europe, including Bombus distinguendus Morawitz, 1869, B. subterraneus (Linnaeus, 1758), B. consobrinus Dahlbom, 1832, B. muscorum (Linnaeus, 1758), B. humilis Illiger, 1806, B. pascuorum (Scopoli, 1763), B. lucorum (Linnaeus, 1761) and B. cryptarum (Fabricius, 1775), as well as some striking local species in the desert-edge zones (north and south), such as B. sibiricus (Fabricius, 1781) and the large B. amurensis Radoszkowski, 1862, but finding no bumblebees here nearer the middle (An et al. 2014; Williams et al. 2017a).

opencc-by-4.0Aug 2023View details →
zenodo40/100

Figs 6‒8 in Can biogeography help bumblebee conservation?

Figs 6‒8. Distribution of the two principal bumblebee groups. 6. Bumblebee subgenera world-wide as revised (Williams et al. 2008) based on an estimate of phylogeny from five genes (Sanger sequencing, trees estimated using models of DNA-sequence evolution fitted with Bayesian methods: Cameron et al. 2007), updated from estimates from broad genomic data (Illumina sequencing of ca 10 000 genes, trees from maximum likelihood analysis: Sun et al. 2020) and shown as a non-metric tree. Lowland Grassland (LG) group highlighted in green and Montane Grassland (MG) group highlighted in blue. 7. Bumblebee species richness (see Fig. 1) for the Lowland Grassland (LG) group (excluding the subgenus Psithyrus Lepeletier, 1832, with its divergent parasitic habit), showing an example (inset) of Bombus pseudobaicalensis Vogt, 1911, from the grasslands of north-eastern Inner Mongolia (Williams et al. 2022b). 8. Bumblebee species richness (see Fig. 1) for the Montane Grassland (MG) group, showing an example (inset) of Bombus kashmirensis Friese, 1909, from the mountains of the eastern Tibetan plateau (Williams et al. 2022b). Background maps and colour scale of 7 and 8 as in Fig. 1.

opencc-by-4.0Aug 2023View details →
ClinicalTrials.gov40/100

Testing Digital Technologies to Help Families Build Healthy Habits

ClinicalTrials.gov study NCT04845568. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Interventions to Help More Low-income Smokers Quit

ClinicalTrials.gov study NCT04311983. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Is MyPlate Approach to Helping Overweight Patients Lose Weight More Patient-centered?

ClinicalTrials.gov study NCT02514889. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

SYNTAX III REVOLUTION Trial: A Randomized Study Investigating the Use of CT Scan and Angiography of the Heart to Help the Doctors Decide Which Method is the Best to Improve Blood Supply to the Heart i

ClinicalTrials.gov study NCT02813473. IPD Sharing: YES. Countries: 5. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Helping Patients and Providers Make Better Decisions About Colorectal Cancer Screening

ClinicalTrials.gov study NCT04683731. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
dryad40/100

Data from: Sex-biased cooperation among immature peers: It matters who helps whom

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publicOct 2025View details →
dryad40/100

Data for: Traits help explain species’ performance away from their climate niche centre

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publicMay 2023View details →
dryad40/100

Data for: Mobility of the human foot's medial arch helps enables upright bipedal locomotion

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publicApr 2023View details →
dryad40/100

Data from: Biotic interactions help explain variation in elevational range limits of birds among Bornean mountains

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publicNov 2020View details →
dryad40/100

Examination of head versus body heading may help clarify the extent to which animal movement pathways are structured by environmental cues?

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publicNov 2023View details →
dryad40/100

Flood-driven survival and growth of dominant C4 grasses helps set their distributions along tallgrass prairie moisture gradients

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publicJan 2025View details →
dryad40/100

Temporal dynamics of mother-offspring relationships in Bigg’s killer whales: opportunities for kin-directed help by post-reproductive females

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publicMay 2023View details →
dryad40/100

Data from: Drivers of variation in egg size in a cooperative breeder with a redirected helping system

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publicMay 2025View details →
dryad40/100

Sociality helps mitigate anthropogenic risks: evidence from elk crossing a major highway

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publicMar 2025View details →
dryad40/100

Data and code for: Nature-based climate solutions can help mitigate the radiative forcing that follows deforestation

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publicApr 2025View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record