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.
10,699
datasets available to search
ShareScore release 0.9.0
Dataset results
10,699 results for “easting”
OSeMOSYS model file and alternative data files (i.e. scenarios) of electricity trade in the Eastern Mediterranean and Middle East (EMME) Region
<p>This set of files consists of an OSeMOSYS model file and five separate scenarios exploring electricity trade across the Eastern Mediterranean and Middle East Region. Two sensitivity scenarios are also available.</p>
FIG. 6 in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 6. — Cyanobacteria sample in water logged area.
FIG. 5. — Sampling from a in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 5. — Sampling from a lake.
FIG. 4 in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 4. — Cyanobacteria sample after collection in sampling vial.
FIG. 3 in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 3. — Cyanobacteria samples in water logged area on Rock.
FIG. 7 in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 7. — Cyanobacteria samples in water logged area on rock.
FIG. 2 in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 2. — Satellite imagery map of Larsemann Hills,Antarctica.Google Earth 2021.
Understanding the incidence and timing of rabies cases in domestic animals and wildlife in south-east Tanzania in the presence of widespread domestic dog vaccination campaigns
<p>The "Zero by 30" strategic plan aims to eliminate human deaths from dog-mediated rabies by 2030, and domestic dog vaccination is a vital component of this strategic plan. In areas where domestic dog vaccination has been implemented, it is important to assess the impact of this intervention. Additionally, understanding temporal and seasonal trends in the incidence of animal rabies cases may assist in optimizing such interventions. Data on the incidence of probable rabies cases in domestic and wild animals were collected between January 2011 and December 2018 in thirteen districts of south-east Tanzania where jackals comprise over 40% of reported rabies cases. Vaccination coverage was estimated over this period, as five domestic dog vaccination campaigns took place in all thirteen districts between 2011 and 2016. Negative binomial generalized linear models were used to explore the impact of domestic dog vaccination on the annual incidence of animal rabies cases, whilst generalized additive models were used to investigate the presence of temporal and/or seasonal trends. Increases in domestic dog vaccination coverage were significantly associated with a decreased incidence of rabies cases in both domestic dogs and jackals. A 35% increase in vaccination coverage was associated with a reduction in the incidence of probable dog rabies cases of between 78.0 and 85.5% (95% confidence intervals ranged from 61.2 to 92.2%) and a reduction in the incidence of probable jackal rabies cases of between 75.3 and 91.2% (95% confidence intervals ranged from 53.0 to 96.1%). A statistically significant common seasonality was identified in the monthly incidence of probable rabies cases in both domestic dogs and jackals with the highest incidence from February to August and lowest incidence from September to January. These results align with evidence supporting the use of domestic dog vaccination as part of control strategies aimed at reducing animal rabies cases in both domestic dogs and jackals in this region. The presence of a common seasonal trend requires further investigation but may have implications for the timing of future vaccination campaigns.</p>
Nitrous oxide in the East China Sea in 2015
<p>Nitrous oxide (N<sub>2</sub>O) is a powerful greenhouse gas, of which the global warming potential per mole is nearly 300 times more effective than that of carbon oxide. The coastal seas, which influenced by anthropogenic perturbations, are identified as potent sources of N<sub>2</sub>O. To further understand the N<sub>2</sub>O biogeochemical dynamics in the coastal oxic waters, we measured the N and O isotope compositions and concentrations of dissolved N<sub>2</sub>O, as well as other biological parameters (O<sub>2</sub>, NH<sub>4</sub><sup>+</sup>, NO<sub>2</sub><sup>-</sup>, and NO<sub>3</sub><sup>-</sup>) and hydroxylamine (NH<sub>2</sub>OH) concentrations in the East China Sea, a marginal sea of the western Pacific Ocean, in 2015.</p>
Nitrous oxide and Hydroxylamine in the East China Sea in 2015
<p>The first analyses of N<sub>2</sub>O isotopocule signatures in the East China Sea (ECS) are presented, along with hydroxylamine (NH<sub>2</sub>OH) and N<sub>2</sub>O concentrations, to clarify the dominant N<sub>2</sub>O production processes in the coastal water. In the ECS in October 2015, N<sub>2</sub>O ranged from 6.3 to 33.1 nmol L<sup>-1</sup>, equivalent to 99% – 251% in saturation, leading to the air-sea fluxes of 1.6 – 10.5 μmol m<sup>-2 </sup>d<sup>-1</sup> (4.8±2.5 μmol m<sup>-2 </sup>d<sup>-1</sup>) using the W2014 formula. The coexistence of high levels of NH<sub>4</sub><sup>+</sup>, NH<sub>2</sub>OH, and NO<sub>2</sub><sup>-</sup> indicated the potential for nitrification and/or hybrid N<sub>2</sub>O formation. In the shallow water (< 300 m), the concentration (~9.3 nmol L<sup>-1</sup>), δ<sup>15</sup>N<sup>bulk</sup>-N<sub>2</sub>O (~6.8‰), δ<sup>18</sup>O-N<sub>2</sub>O (~45.1‰), and <sup>15</sup>N site preference (SP, ~14.8‰) of N<sub>2</sub>O were close to those isotopic signatures in atmospheric N<sub>2</sub>O; whereas those values in the deep water increased downward, reaching their maxima of 33.1 nmol L<sup>-1</sup>, 8.6‰, 54.7‰, and 18.7‰, respectively.</p>
Divergent east-west lineages in an Australian fruit fly, (Bactrocera jarvisi), associated with the Carpentaria Basin divide
<p><em>Bactrocera</em> <em>jarvisi</em> is an endemic Australian fruit fly species (Diptera: Tephritidae). It occurs commonly across tropical and subtropical coastal Australia, from far-northern Western Australia, across the 'Top End' of the Northern Territory, and then down the Queensland east coast. Across this range, its distribution crosses several well-documented biogeographic barriers. In order to better understand factors leading to the divergence of Australian fruit fly lineages, we carried out a population genetic study of <em>B. jarvisi</em> from across its range using genome-wide SNP analysis, utilising adult specimens gained from trapping and fruit rearing. Populations from the Northern Territory (NT) and Western Australia were genetically similar to each other but divergent from the genetically uniform east-coast (=Queensland, QLD) population. Phylogenetic analysis demonstrated that the NT population derived from the QLD population. We infer a role for the Carpentaria Basin as a biogeographic barrier restricting east-west gene flow. The QLD populations were largely panmictic and recognised east-coast biogeographic barriers play no part in north-south population structuring. While the NT and QLD populations were genetically distinct, there was evidence for the historically recent translocation of flies from each region to the other. Flies reared from different host fruits collected in the same location showed no genetic divergence. While a role for the Carpentaria Basin as a barrier to gene flow for Australian fruit flies agrees with existing work on the related <em>B. tryoni</em>, the reason(s) for population panmixia for <em>B. jarvisi</em> (and <em>B. tryoni</em>) over the entire Queensland east coast, a linear north-south distance of >2000km, remains unknown.</p>
supplementary atherial of article Pleistocene aquatic refuges support the east-west breakage of the Neotropical catfish Trichomycterinae (Siluriformes: Trichomycteridae) and high diversity in the Magdalena, Guiana, and Paraná-Paraguay basins
<p>Figure S1. Phylogenetic tree original of Trichomycterinae based on 566 cytochrome b sequences (405 haplotypes) with 999bp. Bayesian Inference with values above each branch correspond to the branch consistency index (BPP); Figure S2. Phylogenetic tree original of Trichomycterinae based on 566 cytochrome b sequences (405 haplotypes) with 999bp. Bayesian Inference with values above each branch correspond to age for clades, as well as the margin of error demonstrated in node bars; Figure S3. Phylogenetic tree original of Trichomycterinae based on 566 cytochrome b sequences (405 haplotypes) with 999bp. Maximum Likelihood with values above each branch correspond to the branch consistency index (ML bootstrap); Table S1: Sequences used in the present study with their respective locations, references, haplotypes, and clades according to the phylogenetic tree in figure 2; Table S2: Type locality of the species nominally allocated to Trichomycterus and of the type species of the nine genera of Trichomycterinae. Type species in asterisk.; Table S3A: Table with percentages of K2P pairwise genetic distances between the subclades of Trichomycterus sensu stricto. Values in diagonal (below, dark grey) correspond to the genetic distance between clades by category. Values above (above, blue) refer to the respective standard errors. Bold values on the diagonal refer to the intraclade distance (1 to 31, as referenced in Table S1 and S3C); Table S3B: Genetic divergence range, by category, and occurrence within subclades. genera and subfamily; Table S3C: List of Alphabetical clade code and respective genus/species and numerical subclade code with respective species.</p>
Dataset for "The East-West Asymmetry of Particle Intensity in Energetic Storm Particle Events"
<p>Here we present the simulation results and the list of ESP events for the paper "The East-West Asymmetry of Particle Intensity in Energetic Storm Particle Events". Detailed descriptions of the simulation results can be found in the manuscript. </p>
Sample Study on Avifaunal Diversity of East Sikkim during May 2023.
<p>The Sample Study on Avifaunal Diversity of East Sikkim was conducted by Lina Chatterjee in the month of May 2023 and the identification and data analysis was done by Nature Mates-Nature Club team.</p> <p>This dataset covers the areas Rongli, Padamchen and Zuluk which lies under Pangolakha wildlife sanctuary, Thambi and Nathang. The study area cover varied habitats like hilly terrain, village landscape, mountain landscape, high altitude lake, valleys, snow-capped mountain, alpine, sub alpine, temperate forest with rhododendron plants and oak,silver fir, juniper, pine trees and bamboo thickets. </p> <p>All the species are identified up to the species level. A total of 121 species of birds are recorded belonging to 39 families and 9 orders.</p> <p><strong>Sampling method</strong>: Point Count</p> <p><strong>Contacts</strong></p> <p>1.Name: Arjan Basu Roy</p> <p>Position: Secretary</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: basuroyarjan@gmail.com</p> <p>Orcid : <a href="https://orcid.org/0000-0001-9872-3562">https://orcid.org/0000-0001-9872-3562</a></p> <p> </p> <p>2.Name: Lina Chatterjee</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: <a href="mailto:lina.linachatterjee@gmail.com">lina.linachatterjee@gmail.com</a></p> <p>Orcid : <a href="https://orcid.org/0000-0002-5626-5046">https://orcid.org/0000-0002-5626-5046</a></p> <p> </p> <p>3.Name: Tarak Samanta</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: <a href="mailto:taraksamanta995@gmail.com">taraksamanta995@gmail.com</a></p> <p>Orcid : <a href="https://orcid.org/0000-0001-6809-0549">https://orcid.org/0000-0001-6809-0549</a></p> <p> </p> <p>4.Name: Sumana Besra</p> <p>Position: Intern</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email:<a href="mailto:sumanabesra1999@gmail.com">sumanabesra1999@gmail.com</a> </p> <p>Orcid : <a href="https://orcid.org/0000-0001-7222-2946">https://orcid.org/0000-0001-7222-2946</a> </p> <p> </p> <p>5.Name: Nivedita Sengupta</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: niveditasngpta.ns@gmail.com</p> <p>Orcid : <a href="https://orcid.org/0000-0003-1085-7385">https://orcid.org/0000-0003-1085-7385</a></p> <p> </p> <p>6.Name: Vijay Barve</p> <p>Position: Research Advisor</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: <a href="mailto:vijay.barve@gmail.com">vijay.barve@gmail.com</a></p> <p>Orcid : <a href="https://orcid.org/0000-0002-4852-2567">https://orcid.org/0000-0002-4852-2567</a></p> <p> </p> <p> </p> <p><strong>Home page</strong>: <a href="http://www.naturematesindia.org/">http://www.naturematesindia.org/</a></p>
Figure 2 in The Chironomus species studied by Letha Karunakaran in Singapore, with a review of the status of selected South-East Asian Chironomus
Figure 2. Pupal spur (left) and mentum (right) of C. bicoloris.
Fig. 64. Aphaniosoma necopinatum Ebejer, 1998 in The genus Aphaniosoma Becker, 1903 (Diptera: Chyromyidae) in the Eastern Mediterranean and Middle East, with descriptions of new species
Fig. 64. Aphaniosoma necopinatum Ebejer, 1998, ♂, paratype (MJE), habitus, lateral view.
Fig. 44. Aphaniosoma incudisternum Ebejer, 2008 in The genus Aphaniosoma Becker, 1903 (Diptera: Chyromyidae) in the Eastern Mediterranean and Middle East, with descriptions of new species
Fig. 44. Aphaniosoma incudisternum Ebejer, 2008, ♂ (MJE), habitus, lateral view.
Fig. 61 in The genus Aphaniosoma Becker, 1903 (Diptera: Chyromyidae) in the Eastern Mediterranean and Middle East, with descriptions of new species
Fig. 61. Aphaniosoma miricercus sp. nov. ♂, holotype (MHNG-ENTO-00097873), habitus, lateral view.
Fig. 32 in The genus Aphaniosoma Becker, 1903 (Diptera: Chyromyidae) in the Eastern Mediterranean and Middle East, with descriptions of new species
Fig. 32. Aphaniosoma flavipyga sp. nov., ♂, holotype (SMNHTAU 405823), habitus, lateral view.
Fig. 56. Aphaniosoma melitense Ebejer, 1993 in The genus Aphaniosoma Becker, 1903 (Diptera: Chyromyidae) in the Eastern Mediterranean and Middle East, with descriptions of new species
Fig. 56. Aphaniosoma melitense Ebejer, 1993, ♂ (SMNHTAU), habitus, lateral view.
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.