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.
530
datasets available to search
ShareScore release 0.9.0
Dataset results
530 results for “data availability”
[Data availability]Safety climate in the operating room in the pre-pandemic and pandemic period of COVID-19: A mixed method study
<p>Disponibilidade dos dados analisados no estudo Safety climate in the operating room in the pre-pandemic and pandemic period of COVID-19: A mixed method study.</p>
Experimental data for "The interaction between plastics and microalgae affects community assembly and nutrient availability"
<p>Dataset of the experimental data obtained for the study “The interaction between microplastics and microalgae affects community assembling and nutrient availability” (published on Communications Earth and Environment, DOI: 10.1038/s43247-024-01706-y). This include 5 different tabular files, which are listed below:</p> <p><strong>Algae growth</strong> Values of chlorophyll fluorescence (as a proxy of algal biomass growth, in arbitrary units) in all treatments between days 1 and 17 of the experiment in the 4 different replicates (shown as different columns).</p> <p><strong>Biofilm growth on plastic</strong> Measures of biofilm coverage (in % of plastic fragment's surface) via image analysis after optical microscopy and chlorophyll fluorescence via spectroscopy (after the analysis of 3 replicates per batch, relative standard deviation below 20%). Data at day 0 indicate the fragments before the incubation with the pelagic community. Data are shown for each treatment containing plastic (i.e., <em>plastic</em>, <em>biofilm</em> and <em>dispersal</em>).</p> <p><strong>Nutrient concentrations</strong> Nutrient concentration in every replicate at different days from the beginning of the experiment. Data are average values after three measure replicates (relative standard deviation below 5%). Data below LODs are shown as LOD/2.</p> <p><strong>Pelagic community composition </strong>Counting values of the different algal species from optical microscopy measurement of all treatments after 5, 8 and 15 days (average values after 3 replicates of measures (relative standard deviation below 25%). The inoculum of the pelagic community before the beginning of the experiment is also included. Species not present in the community or not detected are shown as ND.</p> <p><strong>Photosynthetic efficiency </strong>Values of photosynthetic efficiency (measured with pulse-amplitude-modulated fluorescence) in all treatments at day 5, 8 and 15 of the experiment in the 4 different replicates (shown as different columns).</p>
Public availability of research data in General and Internal Medicine journals
<p>Metrics and Journals including supplementary material classification sorted by quartile of the JCR “Medicine, General & Internal” category (2019 Science Citation Index Edition)</p>
Subspecies and Distribution. S. s. scrofa Linnaeus, 1758 — W Europe, from Denmark, Germany, Poland, and Czech Republic to N Italy and N Iberian Peninsula; possibly also Albania. The taxonomic status of animals in Austria, Switzerland, Slovenia, and Slovakia is unclear but presumably these populations are included in scrofa, as are the populations of Sweden, Finland, and the Baltic states. However, restocking of once depleted populations, for example in Italy, has likely involved the introduction and mixing of this subspecies with other subspecies, such as attila. S. s. affinis Gray, 1847 — S India and Sri Lanka. S. s. algirus Loche, 1867 — Tunisia, Algeria, and Morocco, on the coastal side of the mountains or in the low montane areas. S. s. attila Thomas, 1912 — Hungary, Ukraine, C & S Belarus, Romania, Moldova, and S Russia towards the N flank of the Caucasus, but not including the Transcaucasian countries of Georgia, Armenia, and Azerbaijan. The range possibly extends as far S as the Mesopotamian Delta in Iraq, in which case it would likely include W & SW Iran, and possibly E Turkey and Syria, where it borders with lybicus. Such a range could not be easily reconciled with a statement by Groves that "the difference between pigs from N and S of the Caucasus is quite striking; Transcaucasian boars are certainly not attila." This subspecies may also extend into C Asia and include Kazakhstan, Uzbekistan, and Turkmenistan, but no data exist to support this. S. s. baeticus Thomas, 1912 — originally described from Coto Donana, S Spain, and later merged with meridionalis; also S Portugal. Unless evidence is found that these Italian and Iberian populations are the relics of a much larger formerly contiguous range, this subspecies should be kept as distinct. S. s. coreanus Heude, 1897 — Korean Peninsula. S. s. eristatus Wagner, 1839 — Himalayas S to C India and E to Indochina (N of the Kra Isthmus). S. s. davidi Groves, 1981 — the arid zone from E Iran to Gujarat, including Pakistan and NW India, and perhaps N to Tajikistan. S. s. leucomystax Temminck, 1842 — main Is ofJapan (Honshu, Shikoku, Kyushu, Nakadori, Hiburijima, Tojima, Kushima, and other smaller Is). S. s. lybicus Gray, 1868 — Bulgaria, Greece, Turkey, Syria, Jordan, Israel, Palestine, in the past also in Lybia, and Egypt. The former Yugoslavia was included in its range, which would suggest that now Slovenia, Serbia, Croatia, Bosnia and Herzegovina, Montenegro, and Kosovo are within the range of this subspecies, although the exact boundaries are unclear. Pigs from Albania have been assigned to S. s. scrofa. S. s. majori De Beaux & Festa, 1927 — C & S Italian Peninsula. S. s. menidionalis Forsyth Major, 1882 — Corsica and Sardinia, with the proviso that the two populations are very likely to be introduced or feral. S. s. moupinensis Milne-Edwards, 1871 — China, S to Vietnam and W to Sichuan. S. s. nigripes Blanford, 1875 — the flanks of the Tianshan mountains in Kyrgyzstan and NW China (Xinjiang). An animal photographed in NE Iran (Golestan) looked like this subspecies. S. s. nukiuanus Kuroda, 1924 — Iriomote, Ishigaki, Okinawa, Tokunoshima, Amamioshima, and Kakerome Is in the Ryukyu chain in extreme S Japan, though some of these populations have hybridized with introduced domesticates. S. s. sibiricus Staffe, 1922 — Mongolia and Transbaikal (S & E of Lake Baikal). S. s. tawvanus Swinhoe, 1863 — Taiwan. S. s. ussuricus Heude, 1888 — far E Russia and the Manchurian region (China). Korean populations were previously included in this subspecies, but based on new evidence, the Korean taxon seems more similar to moupinensis. S. s. vittatus Boie, 1828 — Malay Peninsula, S of the Isthmus of Kra, the offshore islands of Terutai and Langkawi, Sumatra, Riau Archipelago, Java, Bali, and a range of smaller islands around these, including Babi, Bakong, Batam, Bawean, Bengkalis, Bintan, Bulan, Bunguran, Cuyo, Deli, Durian, Enggano, Galang, Jambongan, Karimon (Riau Is), Kundur, Lagong, Laut, Lingga, Lingung, Mapor, Moro Kecil, North Pagai, Nias, Panaitan, Payong, Penang, Pinie, Rupat, Siantan, Siberut, Simeulue, Singkep, Sugi, Sugi Bawa, Telibon, Tinggi, Tuangku, and the Tambelan Is. This species was originally present from the British Is in the extreme W, through Eurasia from S Scandinavia to S Siberia, extending as far E as Korea and Japan, and SE into some of the Sunda Is and Taiwan. In the S the species ranged along the Nile Valley to Khartoum, and N of the Sahara in Africa, more orless following the continental coasts of S, E, and SE Asia. Within this range it was absent only from extremely dry deserts, e.g. the driest regions of Mongolia and in China W of Sichuan; and alpine zones, such as the high altitudes of Pamir and Tien Shan. In recent centuries, the range of S. scrofa has changed dramatically because of hunting and changes in available habitat. The species disappeared from the British Is in the 17" century, from Denmark in the 19" century, and was greatly reduced in range and numbers in the 20" century from areas as distant as Tunisia, Sudan, Germany, and Russia. Following these severe declines, there were some slight population recoveries in Russia, Italy, Spain, and Germany in the mid-20™ century, and natural and assisted range expansions in Denmark and Sweden. The species has also been inadvertently reintroduced in various locations in the Great Britain via escapees of mixed origin from commercial farming enterprises. Ex-S. scrofa stocks also occur as introduced feral populations in various other parts of the world, including Australia, New Zealand, the eastern Malay Archipelago, and in North, Central, and South America. In all of these areas they are now generally recognized as a major pest. in Suidae
Subspecies and Distribution. S. s. scrofa Linnaeus, 1758 — W Europe, from Denmark, Germany, Poland, and Czech Republic to N Italy and N Iberian Peninsula; possibly also Albania. The taxonomic status of animals in Austria, Switzerland, Slovenia, and Slovakia is unclear but presumably these populations are included in scrofa, as are the populations of Sweden, Finland, and the Baltic states. However, restocking of once depleted populations, for example in Italy, has likely involved the introduction and mixing of this subspecies with other subspecies, such as attila. S. s. affinis Gray, 1847 — S India and Sri Lanka. S. s. algirus Loche, 1867 — Tunisia, Algeria, and Morocco, on the coastal side of the mountains or in the low montane areas. S. s. attila Thomas, 1912 — Hungary, Ukraine, C & S Belarus, Romania, Moldova, and S Russia towards the N flank of the Caucasus, but not including the Transcaucasian countries of Georgia, Armenia, and Azerbaijan. The range possibly extends as far S as the Mesopotamian Delta in Iraq, in which case it would likely include W & SW Iran, and possibly E Turkey and Syria, where it borders with lybicus. Such a range could not be easily reconciled with a statement by Groves that "the difference between pigs from N and S of the Caucasus is quite striking; Transcaucasian boars are certainly not attila." This subspecies may also extend into C Asia and include Kazakhstan, Uzbekistan, and Turkmenistan, but no data exist to support this. S. s. baeticus Thomas, 1912 — originally described from Coto Donana, S Spain, and later merged with meridionalis; also S Portugal. Unless evidence is found that these Italian and Iberian populations are the relics of a much larger formerly contiguous range, this subspecies should be kept as distinct. S. s. coreanus Heude, 1897 — Korean Peninsula. S. s. eristatus Wagner, 1839 — Himalayas S to C India and E to Indochina (N of the Kra Isthmus). S. s. davidi Groves, 1981 — the arid zone from E Iran to Gujarat, including Pakistan and NW India, and perhaps N to Tajikistan. S. s. leucomystax Temminck, 1842 — main Is ofJapan (Honshu, Shikoku, Kyushu, Nakadori, Hiburijima, Tojima, Kushima, and other smaller Is). S. s. lybicus Gray, 1868 — Bulgaria, Greece, Turkey, Syria, Jordan, Israel, Palestine, in the past also in Lybia, and Egypt. The former Yugoslavia was included in its range, which would suggest that now Slovenia, Serbia, Croatia, Bosnia and Herzegovina, Montenegro, and Kosovo are within the range of this subspecies, although the exact boundaries are unclear. Pigs from Albania have been assigned to S. s. scrofa. S. s. majori De Beaux & Festa, 1927 — C & S Italian Peninsula. S. s. menidionalis Forsyth Major, 1882 — Corsica and Sardinia, with the proviso that the two populations are very likely to be introduced or feral. S. s. moupinensis Milne-Edwards, 1871 — China, S to Vietnam and W to Sichuan. S. s. nigripes Blanford, 1875 — the flanks of the Tianshan mountains in Kyrgyzstan and NW China (Xinjiang). An animal photographed in NE Iran (Golestan) looked like this subspecies. S. s. nukiuanus Kuroda, 1924 — Iriomote, Ishigaki, Okinawa, Tokunoshima, Amamioshima, and Kakerome Is in the Ryukyu chain in extreme S Japan, though some of these populations have hybridized with introduced domesticates. S. s. sibiricus Staffe, 1922 — Mongolia and Transbaikal (S & E of Lake Baikal). S. s. tawvanus Swinhoe, 1863 — Taiwan. S. s. ussuricus Heude, 1888 — far E Russia and the Manchurian region (China). Korean populations were previously included in this subspecies, but based on new evidence, the Korean taxon seems more similar to moupinensis. S. s. vittatus Boie, 1828 — Malay Peninsula, S of the Isthmus of Kra, the offshore islands of Terutai and Langkawi, Sumatra, Riau Archipelago, Java, Bali, and a range of smaller islands around these, including Babi, Bakong, Batam, Bawean, Bengkalis, Bintan, Bulan, Bunguran, Cuyo, Deli, Durian, Enggano, Galang, Jambongan, Karimon (Riau Is), Kundur, Lagong, Laut, Lingga, Lingung, Mapor, Moro Kecil, North Pagai, Nias, Panaitan, Payong, Penang, Pinie, Rupat, Siantan, Siberut, Simeulue, Singkep, Sugi, Sugi Bawa, Telibon, Tinggi, Tuangku, and the Tambelan Is. This species was originally present from the British Is in the extreme W, through Eurasia from S Scandinavia to S Siberia, extending as far E as Korea and Japan, and SE into some of the Sunda Is and Taiwan. In the S the species ranged along the Nile Valley to Khartoum, and N of the Sahara in Africa, more orless following the continental coasts of S, E, and SE Asia. Within this range it was absent only from extremely dry deserts, e.g. the driest regions of Mongolia and in China W of Sichuan; and alpine zones, such as the high altitudes of Pamir and Tien Shan. In recent centuries, the range of S. scrofa has changed dramatically because of hunting and changes in available habitat. The species disappeared from the British Is in the 17" century, from Denmark in the 19" century, and was greatly reduced in range and numbers in the 20" century from areas as distant as Tunisia, Sudan, Germany, and Russia. Following these severe declines, there were some slight population recoveries in Russia, Italy, Spain, and Germany in the mid-20™ century, and natural and assisted range expansions in Denmark and Sweden. The species has also been inadvertently reintroduced in various locations in the Great Britain via escapees of mixed origin from commercial farming enterprises. Ex-S. scrofa stocks also occur as introduced feral populations in various other parts of the world, including Australia, New Zealand, the eastern Malay Archipelago, and in North, Central, and South America. In all of these areas they are now generally recognized as a major pest.
Data from: Topography in tropical forests enhances growth and survival differences within and among species via water availability and biotic interactions
<p class="Cuerpo">Topography is associated with variation in soil water, biogeochemical properties and climate, which drive diversity by filtering species and promoting niche differences. However, the potential for topography to promote fitness differences and diversity among tree species and populations remains poorly tested in tropical rainforests, especially at small spatial scales in everwet climates.</p> <p class="Cuerpo">We reciprocally transplanted tree seedlings between ridge and riparian sites and manipulated neighbour abundance and water availability to assess growth and survival differences both among species and between populations within species in response to changes in biotic interactions and soil water gradients associated with topographic heterogeneity.</p> <p class="Cuerpo">Seedling growth rates were higher on the ridge, but probability of survival was lower on the ridge than the riparian site. Topography also altered growth and survival responses to water availability such that seedlings in the inundated soils in the riparian site had the lowest growth and survival but increased rapidly with moderate soil drying. By contrast, growth and survival on the ridge were generally unresponsive to drying, although severe drought on the ridge reinforced differences among species in growth rates and probability of survival.</p> <p class="Cuerpo">The patterns of growth and survival within species did not provide evidence of local adaptation between seedlings from lowland and upslope origins. However, within species, topographic seed-origin determined the response of seedling growth and survival to increasing neighbour abundance, indicative of divergent selective pressures between individuals growing in different topographic environments.</p> <p class="Cuerpo">Combined, these results suggest that topographic heterogeneity promotes tropical forest diversity both at the species level via environmental filtering due to water availability and at the population level via functional responses to the density of neighbouring vegetation.</p>
Data from: Elevational distribution of birds in an Eastern African montane environment as governed by temperature, precipitation, and habitat availability
<p>We conducted annual point counts of birds between 2013 and 2018 at 297 plots across habitats and elevations (2,416-4,303 m) in Volcanoes National Park, Rwanda. These data were subsequently used to determine elevational and habitat preferences via indicator analyses, and to model abundance distributions as a function of temperature, precipitation, habitat availability, and congeneric competition. Of 35 focal species, we found 20 species to be particularly associated with narrow elevational range (<300 m) and 24 species to have a strong associated with one to three habitat types. Abiotic conditions, estimated for each plot location, significantly correlated with the abundance distributions of 33 species (temperature 33, precipitation 17), and biotic factors with distributions of 31 species (habitat 30, competition 7). Temperature and habitat availability were particularly associated with upper elevational limits (31 and 26 species respectively vs. 10 and 6 at lower limits), whereas precipitation affected both limits similarly (17 lower, 16 upper), and competition had a limited role at either limit (4 lower, 3 upper). That the elevational distribution of Afromontane birds results from a species-specific combination of biotic and abiotic factors is crucial information in our effort to predict climate change effects in this region.</p>
Cryptophytes: a keystone algal group in the rapidly changing Antarctic Peninsula marine environments - data availability
<p>This dataset contains the results of relative and absolute contributions of cryptophytes derived from the HPLC/CHEMTAX analysis. The data were collected during the late summer (February) between 2008-2018 along the Northern Antarctic Peninsula. The index of photoprotective carotenoid pigments to chlorophyll-<em>a</em> (PPC: Chl-<em>a</em>) used in the study is also presented. </p>
Data from: Nectar robbing rather than pollinator availability constrains reproduction of a bee-flowered plant at high elevations
<p>The files contain data on the floral ecology of <em>Clinopodium alpinum</em> collected along an elevational gradient in the Berchtesgaden National Park in Germany in 2017. The data are presented in the work entitled "Nectar robbing rather than pollinator availability constrains reproduction of a bee-flowered plant at high elevations" by Patrick L. Kohl and Ingolf Steffan-Dewenter. Files include data on flower visitor observations (including raw data on the number of visits by individual specifmens), data on seed/ovule ratios (both open pollinated and bagged flowers), data on the incidence of nectar robbing by bumble bees (the frequency of corolla perforations) and of flower herbivory by Eulophidae, and data on basic flowering traits of <em>C. alpinum</em> (number of flowers per inflorescence, corolla tube length, display size).</p>
Data Availability Statement
<p>The file named Coulped Fe-P-S cycling in crab burrows is the original data for the paper Xiao et al "<strong>Crab bioturbation drives coupled iron-phosphate-sulfide cycling in mangrove and saltmarsh porewater</strong>". </p>
Data for: Evolutionary history limits species' ability to match color sensitivity to available habitat light
<p>The spectrum of light that an animal sees – from ultraviolet to far red light – is governed by the number and wavelength sensitivity of a family of retinal proteins called opsins. It has been hypothesized that the spectrum of light available in an environment influences the range of colors that a species has evolved to see. However, invertebrates and vertebrates use phylogenetically distinct opsins in their retinae, and it remains unclear whether these distinct opsins influence what animals see, or how they adapt to their light environments. Systematically utilizing published visual sensitivity data from across animal phyla, we found that terrestrial animals are more sensitive to shorter and longer wavelengths of light than aquatic animals, and that invertebrates are more sensitive to shorter wavelengths of light than vertebrates. Controlling for phylogeny removes the effects of habitat and lineage on visual sensitivity. Closed and open habitat terrestrial species have similar spectral sensitivities when comparing across the Metazoa, and deep water animals are more sensitive to shorter wavelengths of light than shallow water animals. Our results suggest that animals do adapt to their light environment, however the invertebrate-vertebrate evolutionary divergence has limited the degree to which animals can perform visual tuning.</p>
Distribution. SW Brazil, known only from two sites, the type locality in Rondonia and Juruena (Mato Grosso State)Descriptive notes Head-body ¢.230 mm, tail ¢.80 mm. No specific data are available for body weight. Rondon's Tuco-tuco is medium-sized. Dorsal hairs are pale at bases and sepia at tips. Head and venterare slightly rufous, and tail is uniform brown. Skull is robust and depressed. Inter-maxillaries are also robust, with lateral protruding expansion; maxillaries are narrow; and mandible is strong and wide. Supraorbital process protrudes, and traverse occipital-temporal crest is straight. Bullae are inflated. in Ctenomyidae
Distribution. SW Brazil, known only from two sites, the type locality in Rondonia and Juruena (Mato Grosso State)Descriptive notes Head-body ¢.230 mm, tail ¢.80 mm. No specific data are available for body weight. Rondon's Tuco-tuco is medium-sized. Dorsal hairs are pale at bases and sepia at tips. Head and venterare slightly rufous, and tail is uniform brown. Skull is robust and depressed. Inter-maxillaries are also robust, with lateral protruding expansion; maxillaries are narrow; and mandible is strong and wide. Supraorbital process protrudes, and traverse occipital-temporal crest is straight. Bullae are inflated.
Script and data of "Role of Frictional Processes in Mesoscale Eddy Available Potential Energy Budget in the Global Ocean"
<p>% File description:</p> <p>1. Cal_conversions.m: a set of functions calculating the EAPE-EKE and EAPE-EKE conversion terms with CESM output data in B-grid</p> <p>2. smooth2a.m: function of boxcar filtering</p> <p>3. CONV_u100_2d.mat: data of the global distribution of upper 100 m averaged conversion terms used in Figure 2 of the manuscript<br> % Variables inside the file:<br> CONVa_H_u100: MAPE-EAPE conversion driven by frictional process<br> CONVo_H_u100: MAPE-EAPE conversion driven by non-frictional process<br> CONVa_V_u100: EAPE-EKE conversion driven by frictional process<br> CONVo_V_u100: EAPE-EKE conversion driven by non-frictional process</p> <p>4. CONV_profile.mat: data of the vertical profiles of global and regional averaged EAPE-EKE conversion terms used in Figure 3 of the manuscript<br> % Variables inside the file:<br> % Vertical profiles of quasi-global-averaged EAPE-EKE conversion <br> CONVa_V_GLO_profile: driven by frictional process<br> CONVo_V_GLO_profile: driven by non-frictional process<br> CONVttw_V_GLO_profile: reproduced by TTW balance <br> <br> % Vertical profiles of EAPE-EKE conversion averaged in western boundary current regions<br> CONVa_V_WBCE_profile: driven by frictional process<br> CONVo_V_WBCE_profile: driven by non-frictional process<br> CONVttw_V_WBCE_profile: reproduced by TTW balance </p> <p> % Vertical profiles of EAPE-EKE conversion averaged in subtropical gyres<br> CONVa_V_STG_profile: driven by frictional process<br> CONVo_V_STG_profile: driven by non-frictional process<br> CONVttw_V_STG_profile: reproduced by TTW balance <br> <br> % Vertical profiles of EAPE-EKE conversion averaged in subpolar gyres<br> CONVa_V_SPG_profile: driven by frictional process<br> CONVo_V_SPG_profile: driven by non-frictional process<br> CONVttw_V_SPG_profile: reproduced by TTW balance </p> <p> % Vertical profiles of EAPE-EKE conversion averaged in the Southern Ocean<br> CONVa_V_SO_profile: driven by frictional process<br> CONVo_V_SO_profile: driven by non-frictional process<br> CONVttw_V_SO_profile: reproduced by TTW balance </p> <p>5. CONV_SeasDiff.mat: data of the seasonal difference (winter minus summer) of global and regional averaged conversion terms used in Figure 3 of the manuscript<br> % Variables inside the file:<br> % Vertical profiles of the seasonal difference of quasi-global-averaged EAPE-EKE conversion <br> CONVa_V_GLO_SeasDiff: driven by frictional process<br> CONVo_V_GLO_SeasDiff: driven by non-frictional process<br> CONVttw_V_GLO_SeasDiff: reproduced by TTW balance <br> <br> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in western boundary current regions<br> CONVa_V_WBCE_SeasDiff: driven by frictional process<br> CONVo_V_WBCE_SeasDiff: driven by non-frictional process<br> CONVttw_V_WBCE_SeasDiff: reproduced by TTW balance </p> <p> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in subtropical gyres<br> CONVa_V_STG_SeasDiff: driven by frictional process<br> CONVo_V_STG_SeasDiff: driven by non-frictional process<br> CONVttw_V_STG_SeasDiff: reproduced by TTW balance <br> <br> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in subpolar gyres<br> CONVa_V_SPG_SeasDiff: driven by frictional process<br> CONVo_V_SPG_SeasDiff: driven by non-frictional process<br> CONVttw_V_SPG_SeasDiff: reproduced by TTW balance </p> <p> % Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in the Southern Ocean<br> CONVa_V_SO_SeasDiff: driven by frictional process<br> CONVo_V_SO_SeasDiff: driven by non-frictional process<br> CONVttw_V_SO_SeasDiff: reproduced by TTW balance </p> <p>6. Coord_lon_lat_zw.mat: coordinate information for the variables in "CONV_u100_2d.mat", "CONV_profile.mat"and "CONV_SeasDiff.mat"<br> % Variables inside the file:<br> lon: longitude for the global distributions of the conversion terms<br> lat: latitude for the global distributions of the conversion terms<br> z_w: depth of each vertical level for vertical profiles of conversion terms</p>
Otomys orestes previously was included in O. wrroratus or O. typus but later shown to be a distinct species. Monotypic. Distribution. Mt Kenya and Aberdare Range, C Kenya. Descriptive notes. Head-body 135-175 mm, tail 61-93 mm, ear 21-25 mm, hindfoot 25-30 mm. No specific data are available for body weight. The Afroalpine Vlei Rat is large and robust, with large blunt head, short tail, and shaggy fur. Fur is tawny brown above, with distinctive creamy buff post-auricular patches, and dark gray below. Tail is short (c.46% of head-body length). Upper and lower incisors each have single deep groove, and additional faint groove is present on lower incisors. M, has fourlaminae, and M" has seven or occasionally six laminae. in Muridae
Otomys orestes previously was included in O. wrroratus or O. typus but later shown to be a distinct species. Monotypic. Distribution. Mt Kenya and Aberdare Range, C Kenya. Descriptive notes. Head-body 135-175 mm, tail 61-93 mm, ear 21-25 mm, hindfoot 25-30 mm. No specific data are available for body weight. The Afroalpine Vlei Rat is large and robust, with large blunt head, short tail, and shaggy fur. Fur is tawny brown above, with distinctive creamy buff post-auricular patches, and dark gray below. Tail is short (c.46% of head-body length). Upper and lower incisors each have single deep groove, and additional faint groove is present on lower incisors. M, has fourlaminae, and M" has seven or occasionally six laminae.
The first comprehensive revision of all the species attributed to Melomys led J. I. Menzies in 1996 to resurrect the genus Paramelomys and to redefine its morphologicallimits and species content. Menzies created P. gressitti as a new species belonging to a group displaying morphological similarities and including also P. lorentzii and P. moncktoni. Monotypic Distribution. E New Guinea. Descriptive notes. Head-body 135-162 mm, hindfoot 30-34 mm; no specific data are available for body weight. Gressitt's Mosaic-tailed Rat is a medium-sized Paramelomys with a soft, thick and woolly pelage, a long narrow foot, and a tail with three hairs per scale. It exhibits a medium-sepia dorsal pelage and a gray-buff ventral one. Tail is slightly shorter (99%) than head-body length. The skull has a narrow zygomatic plate. Habitat. Moist tropical mountain forest between 2300 m and 2400 m. Food and Feeding. No information. Breeding. No information. Activity patterns. Gressitt's Mosaic-tailed Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List owing to its small geographic range (less than 3500 km?*) and the destruction ofits habitat by mining and logging activities. The major threat to Gressitt's Mosaic-tailed Rat is ongoing habitat degradation caused by nearby human populations; habitat on Mount Kandy has been destroyed by gold-miners and wood-cutters. Bibliography. Menzies (1996). in Muridae
The first comprehensive revision of all the species attributed to Melomys led J. I. Menzies in 1996 to resurrect the genus Paramelomys and to redefine its morphologicallimits and species content. Menzies created P. gressitti as a new species belonging to a group displaying morphological similarities and including also P. lorentzii and P. moncktoni. Monotypic Distribution. E New Guinea. Descriptive notes. Head-body 135-162 mm, hindfoot 30-34 mm; no specific data are available for body weight. Gressitt's Mosaic-tailed Rat is a medium-sized Paramelomys with a soft, thick and woolly pelage, a long narrow foot, and a tail with three hairs per scale. It exhibits a medium-sepia dorsal pelage and a gray-buff ventral one. Tail is slightly shorter (99%) than head-body length. The skull has a narrow zygomatic plate. Habitat. Moist tropical mountain forest between 2300 m and 2400 m. Food and Feeding. No information. Breeding. No information. Activity patterns. Gressitt's Mosaic-tailed Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List owing to its small geographic range (less than 3500 km?*) and the destruction ofits habitat by mining and logging activities. The major threat to Gressitt's Mosaic-tailed Rat is ongoing habitat degradation caused by nearby human populations; habitat on Mount Kandy has been destroyed by gold-miners and wood-cutters. Bibliography. Menzies (1996).
Otomys cheesmani previously was included in O.typus but shown to be a distinct spe-cies based on morphological and molecular grounds. Monotypic. Distribution. Restricted to two known lo-calities in NW Ethiopia, S ofLake Tana. Descriptive notes. Head-body 165-210 mm, tail 77-106 mm, ear 22-24 mm, hindfoot 28-31 mm. No specific data are available for body weight. Cheesman's Vlei Rat has shaggy dark pelage and is larger than all other species of Otomys, except the Angolan Vlei Rat (O. anchietae). Fur of Cheesman's Vlei Rat is bright brown, with reddish shade above and pale yellowish gray below. Ears are blackish, and inner surfaces are covered with short rufous hairs. Forefeet and hindfeet are dark gray above. Tail is relatively short (49-3% of head-body length), blackish above and pale yellowish below but notappearing distinctly bicolored. Lower incisors with two deep grooves. M, has four laminae, and M" has eight or nine laminae. in Muridae
Otomys cheesmani previously was included in O.typus but shown to be a distinct spe-cies based on morphological and molecular grounds. Monotypic. Distribution. Restricted to two known lo-calities in NW Ethiopia, S ofLake Tana. Descriptive notes. Head-body 165-210 mm, tail 77-106 mm, ear 22-24 mm, hindfoot 28-31 mm. No specific data are available for body weight. Cheesman's Vlei Rat has shaggy dark pelage and is larger than all other species of Otomys, except the Angolan Vlei Rat (O. anchietae). Fur of Cheesman's Vlei Rat is bright brown, with reddish shade above and pale yellowish gray below. Ears are blackish, and inner surfaces are covered with short rufous hairs. Forefeet and hindfeet are dark gray above. Tail is relatively short (49-3% of head-body length), blackish above and pale yellowish below but notappearing distinctly bicolored. Lower incisors with two deep grooves. M, has four laminae, and M" has eight or nine laminae.
Data from: Nitrogen availability and plant-plant interactions drive leaf silicon concentration in wheat genotypes
<p><span>Estimating plasticity of leaf silicon (Si) in response to abiotic and biotic factors underpins our comprehension of plant defences and stress resistance in natural and agroecosystems. However, how nitrogen (N) addition and intraspecific plant-plant interactions affect Si accumulation remains unclear. </span></p> <p><span>We grew 19 durum wheat genotypes (<em>Triticum turgidum</em> ssp. durum) in pots, either alone, or in intra- or intergenotypic cultures of two individuals, and with or without N. </span><span>Aboveground biomass, plant height and leaf [Si] were quantified at the beginning of the flowering stage.</span></p> <p><span>Nitrogen addition</span> <span>decreased leaf</span> <span>[Si] for most genotypes, proportionally to the biomass increase. Si plasticity to plant-plant interactions varied significantly among genotypes, with both increases and decreases in </span><span>leaf</span> <span>[Si] when mixed with a neighbour, regardless of the mixture type (intra-/intergenotype). Besides, increased leaf [Si] in response to plant-plant interactions was associated with increased plant height.</span></p> <p><span>Our results suggest the occurrence of </span><span>both facilitation and competition for Si uptake from the rhizosphere in wheat mixtures. Future research should identify which leaf and root traits characterize facilitating neighbours for Si acquisition. We also show that Si could be involved in height gain in response to intraspecific competition, possibly for increasing light capture. This important finding opens up new research directions on Si and plant-plant interactions in both natural ecosystems and agroecosystems. More generally,</span> <span>o</span><span>ur results stress the need to explore leaf Si plasticity in responses to both abiotic and biotic factors to understand plant stress resistance.</span></p>
Data for global agricultural water scarcity assessment incorporating blue and green water availability under future climate change
<p>This dataset is for the publication Global agricultural water scarcity assessment incorporating blue and green water availability under future climate change by Liu et al., 2022 (Earth's Future, doi: <a href="http://doi.org/10.1029/2021EF002567">10.1029/2021EF002567</a>).</p> <p>Three observation-based global meteorological datasets, namely PGMFD v.2, GSWP3, and WFDEI, were used to calculate ETc over the baseline period. The bias-corrected climate projections of four GCMs (namely GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, and MIROC5) provided by the ISIMIP phase 2b (ISIMIP2b) were used to calculate the ETc over the future period.</p> <p> </p> <p>Liu, X., Liu, W., Tang, Q., Liu, B., Wada, Y., & Yang, H. (2022). Global agricultural water scarcity assessment incorporating blue and green water availability under future climate change. Earth's Future, 10, e2021EF002567. <a href="https://doi.org/10.1029/2021EF002567">https://doi.org/10.1029/2021EF002567</a></p>
Data availability: Clustered and rotating designs as a strategy to obtain precise detection rates in camera trapping studies
<p>Manuscript data "Clustered and rotating designs as a strategy to obtain precise detection rates in camera trapping studies" published in Journal of Applied Ecology. R code to replicate the simulations can be found in the supplementary materials of the manuscript.</p>
FIGURE 4 in Studies on Parmulariaceae I. A phylogeny based on available sequence data; introducing Parmulariales ord. nov., and Hemigraphaceae, Melaspileellaceae and Stictographaceae fam. nov.
FIGURE 4. Inocyclus psychotriae (NY 01102760, isolectotype). a. Herbarium material. b, c. Ascostromata on leaves. D. Squash mount of dark brown to black ascostroma. e, f. Hand section of ascostroma (Note: the peridium without apical cells). g–h. Asci with ascospores immersed in water. i. Asci with ascospores immersed in KOH. j–l. ascospores. Scale bars: b = 1 mm, c = 100 μm, d–f = 20 μm, g–l = 5 μm.
FIGURE 2 in Studies on Parmulariaceae I. A phylogeny based on available sequence data; introducing Parmulariales ord. nov., and Hemigraphaceae, Melaspileellaceae and Stictographaceae fam. nov.
FIGURE 2. Hemigrapha asteriscus (G 00292584, syntype). a. Herbarium material. b–d. Appearance of ascostromata on host surface. c, d. Ascostromata in the water. e–j. Section of ascostroma. h. Asci with hamathecial tissues. i–m. Asci. n, o. Ascospores. Scale bars: a = 20 mm, b–d = 500 μm, e–g = 50 μm, h–o = 5 μm.
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.