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Fig. 21. Aphaniosoma cypriense Ebejer, 2021 in The genus Aphaniosoma Becker, 1903 (Diptera: Chyromyidae) in the Eastern Mediterranean and Middle East, with descriptions of new species
Fig. 21. Aphaniosoma cypriense Ebejer, 2021, ♂, paratype (MJE), head and thorax, dorsal view.
Fig. 2 in The genus Aphaniosoma Becker, 1903 (Diptera: Chyromyidae) in the Eastern Mediterranean and Middle East, with descriptions of new species
Fig. 2. Aphaniosoma acitergum sp. nov. ♂, paratype (SMNHTAU), thorax, dorsal view.
Fig. 10. Aphaniosoma approximatum Becker, 1903 in The genus Aphaniosoma Becker, 1903 (Diptera: Chyromyidae) in the Eastern Mediterranean and Middle East, with descriptions of new species
Fig. 10. Aphaniosoma approximatum Becker, 1903, ♀ (MJE), head and thorax, dorsal view.
Figure 5 in The spatial structure of а snow leopard population (Panthera uncia, Felidae, Carnivora) in east Kyrgyzstan
Figure 5. Spatial distribution of snow leopards in the Sarychat–Ertash Reserve.
Data from: The fate of nitrogen during agricultural intensification in East Africa: nitrogen budgets in contrasting agroecosystems
<p>The intensification of agricultural systems in sub-Saharan Africa (SSA) is necessary to reduce poverty and improve food security but requires increased nutrient applications to smallholder systems. To avoid the negative consequences of intensification that result from many large-scale agricultural systems (e.g., eutrophication), we must better understand how diverse soil systems in SSA will respond to increased fertilizer applications. We tracked nitrogen (N) inputs and outputs in fertilizer trials at two maize (Zea mays)-agroecological regions of contrasting soil type. We measured maize biomass, grain yields, N leaching, and N gaseous losses from a clayey soil in Yala, Kenya, and a sandy soil in Tumbi, Tanzania, with application rates of 0, 50, 75, 100, 150, and 200 kg N ha<sup>-1</sup> yr<sup>‑1</sup> over multiple years. Using measurements of NO, N<sub>2</sub>O, NO<sub>3</sub><sup>-</sup>, biomass N, and an <sup>15</sup>N enrichment experiment, we show that N budgets in Yala were nearly always negative, meaning more N was exported in yields or lost from the system than was added in fertilizer. In Tumbi, however, N budgets were negative at lower fertilizer levels (0 and 50 kg N ha<sup>-1</sup>), but positive at higher fertilizer levels (75 and 200 kg N ha<sup>-1</sup>). At both sites, most of the N was lost through maize biomass/grain removal and N leaching (over 96% of total losses). Gas losses were a minor component of N budgets. These results highlight the importance of tailoring fertilizer recommendations to a farm's specific soil and climatic conditions. However, on these two contrasting sites, fertilizer additions at or below 50 kg N ha<sup>-1</sup> do not lead to major losses of N (via gaseous or leaching) and may be recommended at a range of sites across SSA soils in maize agroecosystems.</p>
Material stock map of CONUS - North East
<p>Humanity’s role in changing the face of the earth is a long-standing concern, as is the human domination of ecosystems. Geologists are debating the introduction of a new geological epoch, the ‘anthropocene’, as humans are ‘overwhelming the great forces of nature’. In this context, the accumulation of artefacts, i.e., human-made physical objects, is a pervasive phenomenon. Variously dubbed ‘manufactured capital’, ‘technomass’, ‘human-made mass’, ‘in-use stocks’ or ‘socioeconomic material stocks’, they have become a major focus of sustainability sciences in the last decade. Globally, the mass of socioeconomic material stocks now exceeds 10e14 kg, which is roughly equal to the dry-matter equivalent of all biomass on earth. It is doubling roughly every 20 years, almost perfectly in line with ‘real’ (i.e. inflation-adjusted) GDP. In terms of mass, buildings and infrastructures (here collectively called ‘built structures’) represent the overwhelming majority of all socioeconomic material stocks.</p> <p>This dataset features a detailed map of material stocks in the CONUS on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors.</p> <p><strong>Spatial extent</strong><br> This subdataset covers the <strong>North East CONUS</strong>, i.e.</p> <ul> <li>CT</li> <li>DC</li> <li>DE</li> <li>MA</li> <li>MD</li> <li>ME</li> <li>NH</li> <li>NJ</li> <li>NY</li> <li>PA</li> <li>RI</li> <li>VA</li> </ul> <p>For the remaining CONUS, see the <em>related identifiers</em>.</p> <p><strong>Temporal extent</strong><br> The map is representative for ca. 2018.</p> <p><strong>Data format</strong><br> The data are organized by states. Within each state, data are split into 100km x 100km tiles (EQUI7 grid), and mosaics are provided.</p> <p>Within each tile, images for area, volume, and mass at 10m spatial resolution are provided. Units are m², m³, and t, respectively. Each metric is split into buildings, other, rail and street (note: In the paper, other, rail, and street stocks are subsumed to mobility infrastructure). Each category is further split into subcategories (e.g. building types).</p> <p>Additionally, a grand total of all stocks is provided at multiple spatial resolutions and units, i.e.</p> <ul> <li>t at 10m x 10m</li> <li>kt at 100m x 100m</li> <li>Mt at 1km x 1km</li> <li>Gt at 10km x 10km</li> </ul> <p>For each state, mosaics of all above-described data are provided in GDAL VRT format, which can readily be opened in most Geographic Information Systems. File paths are relative, i.e. DO NOT change the file structure or file naming. </p> <p>Additionally, the grand total mass per state is tabulated for each county in <em>mass_grand_total_t_10m2.tif.csv</em>. County FIPS code and the ID in this table can be related via <em>FIPS-dictionary_ENLOCALE.csv</em>.</p> <p><strong>Material layers</strong><br> Note that material-specific layers are not included in this repository because of upload limits. Only the totals are provided (i.e. the sum over all materials). However, these can easily be derived by re-applying the material intensity factors from (see <em>related identifiers</em>):</p> <p>A. Baumgart, D. Virág, D. Frantz, F. Schug, D. Wiedenhofer, Material intensity factors for buildings, roads and rail-based infrastructure in the United States. Zenodo (2022), <a href="https://doi.org/10.5281/zenodo.5045337.">doi:10.5281/zenodo.5045337.</a></p> <p><strong>Further information</strong><br> For further information, please see the publication.<br> A web-visualization of this dataset is available here.<br> Visit our <a href="https://boku.ac.at/understanding-the-role-of-material-stock-patterns-for-the-transformation-to-a-sustainable-society-mat-stocks">website</a> to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.</p> <p><strong>Publication</strong><br> D. Frantz, F. Schug, D. Wiedenhofer, A. Baumgart, D. Virág, S. Cooper, C. Gomez-Medina, F. Lehmann, T. Udelhoven, S. van der Linden, P. Hostert, H. Haberl. Weighing the US Economy: Map of Built Structures Unveils Patterns in Human-Dominated Landscapes. <em>In prep</em></p> <p><strong>Funding</strong><br> This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). Workflow development was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project-ID 414984028-SFB 1404.</p> <p><strong>Acknowledgments</strong><br> We thank the European Space Agency and the European Commission for freely and openly sharing Sentinel imagery; USGS for the National Land Cover Database; Microsoft for Building Footprints; Geofabrik and all contributors for OpenStreetMap.This dataset was partly produced on <a href="https://eodc.eu/">EODC</a> - we thank Clement Atzberger for supporting the generation of this dataset by sharing disc space on EODC.</p>
ELITE land surface temperature: hourly seamless 0.02° LST over East Asia (2017)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the 0.02 ° hourly seamless LST dataset over East Asia (2016-2021). Firstly, the iTES algorithm is employed to retrieve the Himawari-8/AHI LST. Secondly, the CLDAS LST is corrected to eliminate its system deviation. Finally, the multi-scale Kalman filter is employed to fuse Himawari-8/AHI LST and the bias-corrected CLDAS LST to generate 0.02 ° hourly seamless LST. The in situ validation results show that the root mean square error (RMSE) of the seamless LST is about 3k. The temporal resolution and spatial resolution of this dataset are 1 hour and 0.02°, respectively.</p> <p>This is the ELITE seamless LST product in 2017. Please <a href="https://zenodo.org/record/7306248"><strong><em>click here</em></strong></a> to download the ELITE LST product in 2016 and <a href="https://zenodo.org/record/8256087"><strong><em>click here</em></strong></a> to download the ELITE LST product in 2018.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: East Asia (0-60°N, 80°E-140°E)</li> <li>Temporal Coverage: 2017</li> <li>Spatial Resolution: 0.02 °</li> <li>Temporal Resolution: one hour</li> <li>Data Format: Geotiff</li> <li>Scale: 0.01</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Dong, S., Cheng, J., Shi, J., Shi, C., Sun, S., & Liu, W. (2022). A Data Fusion Method for Generating Hourly Seamless Land Surface Temperature from Himawari-8 AHI Data. Remote Sensing, 14, 5170</li> <li>Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. IEEE Transactions on Geoscience and Remote Sensing, 58(10), 7105-7124.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p> <p> </p>
Data from: Historical biogeography supports Point Conception as the site of turnover between temperate East Pacific ichthyofaunas
<p>The cold temperate and subtropical marine faunas of the Northeastern Pacific meet within California as part of one of the few eastern boundary upwelling ecosystems in the world. Traditionally, it is believed that Point Conception is the precise site of turnover between these two faunas due to sharp changes in oceanographic conditions. However, evidence from intraspecific phylogeography and species range terminals do not support this view, finding stronger biogeographic breaks elsewhere along the coast. Here I develop a new application of historical biogeographic approaches to uncover sites of transition between faunas without needing an <em>a priori</em> hypothesis of where these occur. I used this approach to determine whether the point of transition between northern and southern temperate faunas occurs at Point Conception or elsewhere within California. I also examined expert-vetted latitudinal range data of California fish species from the 1970s and the 2020s to assess how biogeography could change with the backdrop of climate change. The site of turnover was found to occur near Point Conception, in concordance with the traditional view. I suggest that recent species- and population-level processes could be expected to give signals of different events from historical biogeography, possibly explaining the discrepancy across studies. Species richness of California has increased since the 1970s, mostly due to species's ranges expanding northward from Baja California (Mexico). Range shifts under warming conditions seem to be increasing the disparity between northern and southern faunas of California, creating a more divergent biogeography.</p>
On the biodiversity of diatom communities in lakes of east China: Geochemical effects dominated after eutrophication
<p><strong>Aim:</strong> Over the last century, lakes all over the world have experienced significant eutrophication and become more susceptible to critical transitions. This has prompted a growing need to understand how community dynamics shift following ecological perturbations. This study aims to elucidate the present status, spatial patterns and determinants of biological diversity, and how they have changed in response to alterations driven by eutrophication.</p> <p><strong>Location:</strong> Lakes of East China, mostly in the Yangtze River Basin</p> <p><strong>Taxa:</strong> Bacillariophyceae (163 species in 33 genres) </p> <p><strong>Methods:</strong> The environmental conditions of over sixty lakes were assessed based on parameters such as water quality, physical characteristics and biogeochemical constituents. Surface sediment samples and high-resolution sediment records were collected to quantify the biodiversity of diatom communities, and Principle Component Analysis (PCA) was used to determine the major environmental gradients. Meanwhile, linear regression, Canonical Correlation Analysis and Mantel tests were used to quantify the correlations between variables.</p> <p><strong>Results:</strong> Biodiversity metrics showed no distinct geographic patterns, although areas near large lakes showed comparatively high evenness. Smaller pairwise dissimilarities were observed among hypereutrophic lakes in comparison to lakes with a lower trophic status. The past century has witnessed a decrease in both pairwise dissimilarity and the standard deviation of Evenness. A significant statistical association was found between dissimilarity and ionic concentration and composition in the surface sediment of lakes, rather than nutrient levels.</p> <p><strong>Main conclusions:</strong> Following regional eutrophication and human disturbance, a significant reduction in biodiversity differentiation was observed in lakes located in East China. Currently, the dominant factor in determining the beta diversity of diatom communities is geochemical conditions rather than nutrient concentrations. Long-term stress caused by cultural eutrophication may also have altered the dominant determinant of regional biodiversity and diatom community dynamics.</p>
Field testing a 13C labeling method in an East African ant-plant
<p>Tree carbon allocation is a dynamic process that depends on the tree's environment, but we know relatively little about how biotic interactions influece these dynamics. In central Kenya, the loss of vertebrate herbivores and the savanna's invasion by the ant <em>Pheidole megacephala</em> are disrupting mutualisms between the founational tree <em>Acacia drepanolobium</em> and its native ant defenders. Here we piloted a <sup>13</sup>Carbon (C) pulse-labeling mathod to investigate the influece of these biotic interactions on C allocation strategies by adult trees in situ. Trees withstood experimental conditions and took up sufficient labeled <sup>13</sup>CO<sub>2 </sub>for <sup>13</sup>C to be detected in various C sinks, including ant mutualists. The <sup>13</sup>C in ants collected shortly after labeling suggested that trees exposed to herbivores allocated relatively more newly assimilated C to native ant defenders. Our results demonstrate the viability of the pulse-labeling method and suggest the C allocation to ant partners depends on the biotic context of the tree, but further investigation with replication is needed to characterize such differences in relation to invasion and herbivore loss.</p>
The Observed Disdrometer Heavy Rainfall Period Datasets in East China during the Meiyu Season
<p>The attached file includes all the 1757 Parsivel disdrometer heavy rainfall periods (HRPs) in East China during the 2019-2022 Meiyu season. The files are the XXX.mat format and can be directly opened with MATLAB.</p>
Water lap from South East Misool Island off West Papua10 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
Water lap from South East Misool Island off West Papua10
A whole-genome reference panel of 14,393 individuals for East Asian populations accelerates discovery of rare functional variants
<p>Underrepresentation of non-European populations hinders growth of global precision medicine. Resources such as imputation reference panels that match the study population are necessary to find low-frequency variants with substantial effects. We created a reference panel consisting of 14,393 whole-genome sequences including more than 11,000 Asian individuals. Genome-wide association studies were conducted using the reference panel and a population-specific genotype array of 72K subjects for eight phenotypes. This panel yields improved imputation accuracy of rare and low-frequency variants within East Asian populations compared with the largest reference panel. Thirty-nine previously unidentified associations were found, and more than half of the variants were East-Asian-specific. We discovered genes with rare protein-altering variants, including LTBP1 for height and GPR75 for body mass index, as well as putative regulatory mechanisms for rare noncoding variants with cell-type-specific effects. We suggest this data set will add to the potential value of Asian precision medicine.</p>
Data Set of selected strong motion parameters and Fourier Amplitude Spectra for the East Anatolian Fault Zone, Türkiye (January 2019 - February 2024)
<p>This product represents a high-quality Data Set useful for seismological studies in the East Anatolian Fault Zone, Türkiye and is addressed to the community that study the seismic source and ground motion.</p> <p>The dataset considers 9,442 events in a magnitude range Ml from 2.0 to 5.5. The period covered by the dataset includes seismicity between January 1, 2019 and February 29, 2024 for a total of 270,704 seismic phases (148,223 P and 122,481 S). In addition to the earthquake catalog, the dataset includes selected strong motion parameters such as selected Peak Ground Acceleration (PGA), Peak Ground Velocity (PGV), as well as Fourier Amplitude Spectra (FAS).</p> <p>The dataset is distributed through the following tables, which are descrived in the "Table of contents" below.</p> <ul> <li><strong>events_catalog.csv</strong> is the file of earthquake;</li> <li><strong>stations.csv </strong>is the file of stations;</li> <li><strong>PGA_PGV.csv </strong>is the file of PGA and PGV;</li> <li><strong>FAS.tar.gz </strong>is the folder which contains (in .csv format) the 98 FAS from 0.05 to 47.20 Hz.</li> </ul> <p>For full details on the dataset and its scientific context, please refer to the paper:</p> <p><strong>L. Colavitti, D. Bindi, G. Tarchini, D. Scafidi, and D. Spallarossa (2025)</strong>. <br><em>"A high-quality Data Set for seismological studies in the East Anatolian Fault Zone, Türkiye"</em>, <br><em>Earth System Science Data</em>, <strong>17(6)</strong>, 3089-3108. <a href="https://doi.org/10.5194/essd-17-3089-2025">https://doi.org/10.5194/essd-17-3089-2025</a>.</p>
Naltrexone for Individuals of East Asian Descent
ClinicalTrials.gov study NCT02026011. IPD Sharing: NO. Countries: 1. Publications: 1.
A Study of Alisertib (MLN8237) in Adult East Asian Participants With Advanced Solid Tumors or Lymphomas
ClinicalTrials.gov study NCT01512758. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Sustainable East Africa Research in Community Health
ClinicalTrials.gov study NCT01864603. IPD Sharing: NO. Countries: 2. Publications: 80.
Real-World Observational Study to Describe Treatment Patterns in Patients With HER2-Positive Locally Advanced or Metastatic Gastric or Gastroesophageal Junction Cancer in East Asia
ClinicalTrials.gov study NCT05606094. IPD Sharing: YES. Countries: 4. Publications: 0.
A Study Of Crizotinib Versus Chemotherapy In Previously Untreated ALK Positive East Asian Non-Small Cell Lung Cancer Patients
ClinicalTrials.gov study NCT01639001. IPD Sharing: YES. Countries: 5. Publications: 1.
A Trial of a Botanical Drug Containing East Indian Sandalwood Oil (EISO) for the Treatment of Oral Mucositis
ClinicalTrials.gov study NCT02399228. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.