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139 results for “Fukushima”
Organic Matter, Geochemical, Visible Spectrocolorimetric Properties, Radiocesium Properties, and Grain Size of Potential Source Material, Target Sediment Core Layers and Laboratory Mixtures for Conducting Sediment Fingerprinting Approaches in the Mano Dam Reservoir (Hayama Lake) Catchment, Fukushima Prefecture, Japan
<p>The current dataset was compiled to study sediment fingerprintings practices, i.e tracer selection and contribution modelling. Organic matter, elemental geochemistry, visible difuse spectrocolorimetric properties, radiocesium properties, and grain size were analysed were analysed in potential source material that may supply sediment to coastal rivers, here the upper part of the Mano river, draining the main Fukushima radioactive pollution plume (Japan). Four potential soil source materials (<em>n</em> = 68) were considered: undecontaminated cropland (<em>n</em> = 24), as non-decontaminated soil before the application of local decontamination policies, remediated cropland (<em>n</em> = 10), as decontaminated soil after the application of local decontamination policies, forest soils (n = 24) and subsurface material originating from channel bank collapse or landslides (<em>n</em> = 10; referred to as subsoil). A sediment core was collected in the Mano Dam lake (Hayama lake) on the 6th June 2021 and was sectionned into 1-cm layers (<em>n</em> = 38). Laboratory mixtures (<em>n</em> = 27) were made to assess different contribution levels from the sources.</p> <p>The current dataset comprises four .csv files including data and metadata information and their respective descriptions of variables. The data set is composed of soil samples, sediment core layer and laboratory mixtures. Laboratory mixtures were prepared to provide a dataset to calibrate/validate un-mixing models implemented to address this research question and analysed in the same conditions and using the same equipment as the source/target material.</p> <p>Recommended encoding format: <strong>latin1</strong></p>
Modeled tritium in precipitation from Fukushima Daiichi Nuclear Power Plant accident simulations with MIROC5-iso
<p>This data set contains modeled tritium in precipitation values from different simulations of Fukushima Daiichi Nuclear Power Plant (FDNPP) accident produced with MIROC5-iso. The simulations are for the period 2011-20121 and were with different anthropogenic tritium source functions. A complete description can be found in Cauquoin, A., Gusyev, M., Bong, H., Okazaki, A., and Yoshimura, K.: Modeling tritium release to the atmosphere during the Fukushima Daiichi Nuclear Power Plant accident and application to estimating post-accident water system transit times, <em>Environ. Sci. Pollut. Res.</em>, <a href="https://doi.org/10.1007/s11356-025-35919-1" target="_blank" rel="noopener">https://doi.org/10.1007/s11356-025-35919-1</a>, 2025. </p> <p>The simulations are named fukushima_accident_{jra55, era5}_total_gas_{div100, div200, div500, div1000}, with {jra55, era5} describing a nudging to JRA-55 or ERA5 reanalyses, and with {div100, div200, div500, div1000} describing the anthropogenic tritium input function used in DatasetS1_table_tritium_release_atm_fukushima_input.csv.</p> <p>The modeled values of tritium in Hiso river water, Minamisoma spring and artesian groundwater, calculated using MIROC5-iso tritium in monthly precipitation in Fukushima, scaled Tokyo GNIP data, and tritium measurements in preciptation at Fukushima as input of the TracerLPM model, are included too. </p> <p>The model data can be downloaded as netcdf, csv or xlsx files:</p> <ul> <li>*_daymean.prcpTU.nc: daily mean tritium in precipitation over the period 2011-2021, expressed in TU;</li> <li>*_monmean.prcpTU.nc: monthly mean tritium in precipitation over the period 2011-2021, expressed in TU;</li> <li>*_daymean.prcp.nc: daily precipitation over the period 2011-2021, expressed in mm/day;</li> <li>*_monmean.prcp.nc: monthly precipitation over the period 2011-2021, expressed in mm/month;</li> <li>*_prcp_daymean.remapnn.csv: daily precitation at nearest grid cells of Tsukuba, Kashiwa, Hongo, Yokosuka, Konan, and Misasa over the period 2011-2012, expressed in mm/day;</li> <li>*_prcp_monmean.remapnn.csv: montly mean precitation at nearest grid cells of Chiba, Niigata, and Fukushima over the period 2011-2021, expressed in mm/month;</li> <li>*_prcpTU_daymean.remapnn.csv: tritium in daily precitation at nearest grid cells of Tsukuba, Kashiwa, Hongo, Yokosuka, Konan, and Misasa over the period 2011-2012, expressed in TU;</li> <li>*_prcpTU_monmean.remapnn.csv: tritium in montly precitation at nearest grid cells of Chiba, Niigata, and Fukushima over the period 2011-2021, expressed in TU;</li> <li>DatasetS1_table_tritium_release_atm_fukushima_input.csv: Table of anthropogenic tritium daily release, based on reconstructed iodine-131 total gas emissions from <a href="https://doi.org/10.5194/acp-15-1029-2015" target="_blank" rel="noopener">Katata et al. (2015)</a>, used as inputs for MIROC5-iso.</li> <li>TracerLPM_fukushima_with_peak_jra55.xlsx: Tritium input function Cin(t) and tritium concentration in Hiso river water, Minamisoma spring and artesian groundwater modeled by TracerLPM. Simulation div100 nudged to JRA-55 was used for constructing Cin(t).</li> <li>TracerLPM_fukushima_without_peak_jra55.xlsx: Tritium input function Cin(t) and tritium concentration in Hiso river water, Minamisoma spring and artesian groundwater modeled by TracerLPM. Simulation ctrl nudged to JRA-55 (without FDNPP peak) was used for constructing Cin(t).</li> <li>TracerLPM_fukushima_with_peak_era5.xlsx: Tritium input function Cin(t) and tritium concentration in Hiso river water, Minamisoma spring and artesian groundwater modeled by TracerLPM. Simulation div100 nudged to ERA5 was used for constructing Cin(t).</li> </ul>
Temporal evolution of plutonium concentrations and isotopic ratios, cesium activity concentrations, granulometric parameters and organic matter properties in the Ukedo–Takase Rivers draining the Difficult-To-Return Zone in Fukushima, Japan (2013–2020)
<p>The current dataset was compiled to investigate the temporal evolution of plutonium concentrations, isotopic ratios and radiocesium activity concentrations in flood sediment deposits collected in the Ukedo and Takase Rivers, draining a part of the Difficult-to-Return Zone, in Fukushima Prefecture, from 2013 to 2020. These radionuclides were released in large quantities during the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident that occurred in March 2011 in Northeastern Japan (Steinhauser et al., 2014). Models showed that ~ 80 % of radionuclide releases occurred over the ocean (Mathieu et al., 2018; MEXT, 2011). The radioactive plume is drained by several coastal rivers to the Pacific Ocean, and sediment-bound radionuclide transfers in these rivers are mainly controlled by the occurrence of typhoons and tropical storms (Evrard et al., 2021). The objective of the research relying on the current database is to investigate the temporal changes in Pu signatures that occurred between 2013 and 2020 in flood sediment deposits collected in the Ukedo and the Takase Rivers, and to identify potential factors controlling these changes by the means of statistical approach.</p> <p>The current dataset comprises an Excel file including the variables description, and the data itself.</p>
Fig. 1 in Culeolus tenuis (Urochordata, Ascidiacea) Newly Found off Fukushima, Japan in the Japan Trench
Fig. 1. Map showing the localities of Culeolus tenuis Vinogradova, 1970, so far known (open circles) or newly recorded in the present study (solid circle).
Fig. 2. Culeolus tenuis Vinogradova, 1970 in Culeolus tenuis (Urochordata, Ascidiacea) Newly Found off Fukushima, Japan in the Japan Trench
Fig. 2. Culeolus tenuis Vinogradova, 1970 from off Fukushima Prefecture in the Japan Trench. A: Left side of body proper with branchial tentacles projecting from branchial aperture (Br) and anal end visible through atrial aperture (At), B: Inner view of right mantle of body, C: Inner view of left mantle of body; D. Dorsal tubercle and vicinity, E: Proximal (=posterior) terminal of right dorsal-most gonad, directed to atrial aperture end, to show openings of oviduct (Od) and sperm duct (Sd); F: A horny polygonal spicule from pericardium. Mantle musculature and spicules in B and C, and in B-E, respectively, omitted. Abbreviations: At: atrial aperture, Br: branchial aperture, En: endocarp, Ep: pericardium, Od: oviduct, Ov: ovarian eggs, Sd: sperm duct, St: proximal end of stalk along anterior mid-ventral half of body proper, Te: testicular follicles. Scales for A, B, and C 10 mm, for D and E, 5 mm, and for F, 1 mm.
Mapping of solar panels and Fukushima Daiichi Nuclear Power Plant Accident-associated radioactive waste storage in 2022 and 2023, Fukushima, Japan
<p>The policy of reconstruction after the Fukushima Daiichi Nuclear Plant accident has led to a radical transformation of the landscapes of Fukushima Prefecture especially in two aspects (Asanuma-Brice et al., 2023). The first is related to an extensive decontamination policy which resulted in the removal of more than 13 million m<sup>3</sup> of contaminated soil (MOEJ, 2021). The second is the widespread installation of solar panels, which demonstrate the transition decided by the Prefecture and the inhabitants in terms of energy policy.</p> <p>A systematic mapping of these features was carried out from the satellite imagery of Google Map (2023) within the boundaries of Fukushima Prefecture. The objective was to highlight the evolution of specific land use features that are captured imprecisely by automatic detection mapping. We focused on the main visible change in the landscape in terms of land use since Fukushima Daiichi nuclear accident: contaminated waste disposal areas and solar panel fields. These zones were delineated allowing a calculation of the corresponding surface areas (m<sup>2</sup>).<strong> The dataset is composed of 4 shapefile layers: contaminated waste deposits in 2022 and 2023, solar panels in 2022 and 2023. For the year 2022 the last update was conducted in July 2022 and for the year 2023 the last update took place in March 2023.</strong></p> <p>As the land use is in constant and rapid transition (Asanuma-Brice, 2021), we considered as contaminated waste deposits, the permanent storage centers as well as the sites where there are still bags of contaminated waste in varying numbers, knowing that they will be removed and stored on other dedicated sites (Evrard et al., 2019). This choice was made to potentially identify, when the map was updated, the future uses of the land where this waste was stored temporarily.</p> <p>This dataset is part of a larger project that aims to provide the community with an interactive tool (https://mitatelab.cnrs.fr/mitate-labs-map-of-solar-panel-and-contaminated-wasted-land/) that makes available various types of information essential to the analysis of the reconstruction, such as: the delineation of the evacuated zone (which evolved throughout time), the delineation of the municipality boundaries affected by the reconstruction policy, the main services found in these localities, the location of the memorials of the disaster in the zone, as well as the geo-localization of the soil/sediment samples collected by other Mitate lab researchers in order to investigate the redistribution of radionuclides in the environment (Evrard et al., 2021).</p>
Spatial datasets associated with decontamination and remediation operations following the Fukushima nuclear accident, Japan (2011–2023)
<p>At the onset of the full reopening in Spring 2023 of the Difficult-to-Return Zone of Northeastern Japan following the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident that took place in March 2011, several spatial layers were regrouped and compiled to facilitate environmental studies dealing with the redistribution of radiocesium fallout across landscapes.</p> <p><strong>The current dataset is composed of 23 shapefiles including those of the delineations of different spatial zones (Intensive Contamination Survey Areas – ICAs, Special Decontamination Zones – SDZ, Difficult-to-Return Zone –</strong> <strong>DTRZ, and FNDPP location) (Evrard et al. 2019), municipalities where mushroom consumption restrictions were enforced (restricted and partially lifted restrictions), river hydrographic networks and their respective drainage areas (Mano, Niida, Ota, Takase, and Ukedo), dam reservoirs and drainage areas (Mano, Ogaki, Takanokura, and Yokokawa), multiple administrative delineations in Japan (whole Japan administrative boundaries, Prefectures, and municipalities) (GIS, 2016), and one raster file of the reconstruction of initial <sup>137</sup>Cs fallout across eastern Japan (from Kato et al., 2019).</strong></p> <p><strong>The current dataset provides a support to a publication submitted to the SOIL journal:<br></strong></p> <div> <div><strong>Evrard, O., Chalaux-Clergue, T., Chaboche, P.-A., Wakiyama, Y., and Thiry Y. (2023). Research and Management Challenges Following Soil and Landscape Decontamination at the Onset of the Reopening of the Difficult-To-Return Zone, Fukushima (Japan)’. <em>SOIL</em> 9: 479–97. <a href="https://doi.org/10.5194/soil-9-479-2023">https://doi.org/10.5194/soil-9-479-2023</a>. </strong></div> <div> </div> </div> <p>All map processing was carried out using QGIS 3.26.0 (QGIS, 2022) and under the EPSG:WGS 84 projection system.</p> <p>The <sup>137</sup>Cs fallout raster (in Bq m<sup>-2</sup>, decay-corrected to July 2011) was generated from the point grid of Kato et al. (2019). A total of 126 tiles (0.25 x 0.25 degree) were generated by Inverse Distance Weighted (IDW) interpolation using the '<em>IDW interpolation'</em> tool with the following settings: distance coefficient P = 1.0 and pixel size (x and y) = 0.0015 degree. Tiles were then merged into a single tile using the raster<em> 'Merge'</em> tool. The initial point grid footprint was manually delineated to define the spatial applicability zone of the airborne survey. A buffer zone corresponding to half plus 10% of the longest distance between two airborne points (x = 0.002, y = 0.003), i.e. 0.0017 degree, was generated using the '<em>buffer'</em> tool. The single tile was then cut according to the footprint of the buffer zone using the <em>'clip a raster by a mask layer'</em> tool. A <em>single-band pseudo-colour </em>scale is provided and displays pixels with a value above 1000 Bq m<sup>-2</sup> (eq. global background).</p>
Scientific Improvement on Social Understanding of Tritium, Ten Years After the Fukushima Nuclear Accident
<p>The present work deals with a scientific improvement of social education or understanding on radioactive tritium by laypeople, which is even possible after ten years of Fukushima nuclear accident. This work is actually motivated since the normal way of tritium dilution into ocean within the standard regulatory concentration had been hampered firstly by Korean Government in May 2011. In addition, thereafter the tritium issue has become one of the difficult issues to solve urgently, but without any success until 2020. The answer was the huge number of storage tanks with tritium in water.</p> <p>The dialogue meetings between the fishermen and administrative stakeholders were repeatedly held, but without success to overcome the foreseen hoax or rumors leading to the social stigma. Heretofore, we have encountered once a hope for political decision in August 2020, when the new Cabinet was then elected. But unfortunately, the new Minister of the Ministry was unable to make a decision with a confidence, which must be actually a hard issue even as a tangible scientific knowledge. Actually no one has witnessed the generation of tritium.</p> <p>Scientific visualization with nuclear modeling of tritium generation, that is generated in atmospheric nuclear spallation reaction by cosmic rays, has been by no way sufficient until now. In order to overcome the above-mentioned social difficulty on educational facet of tritium as a tangible science, I have performed a Monte-Carlo simulation so as to reproduce the measured value of tritium concentration and its generation rate in the atmosphere. The result was in a reasonable agreement with the measurement. On top of this, according to this simulation, several new features were predicted with new observables on tritium generation. Once this prediction is confirmed by another experiment, the social trust on scientific knowledge on tritium will be shared with laypeople in society, not to mention the fishermen in Fukushima.</p> <p>In parallel, I have performed a pedagogical “Fermi estimate” on possible separation of tritium by a centrifuge apparatus, which is possible and rather easily demonstrated in laboratory. This proposal seems likewise effective to transform the elusive tritium into a tangible substance in an educational and scientific theory and experiment.</p> <p>In the present work, I concentrate on the educational aspect in illuminating the difficulty of tritium understanding as a social difficulty of radiation protection.</p>
Statistics on caesium 137 deposition around the Fukushima-Daiichi plant after the 2011 accident
<p>This dataset has been compiled by members of the Institut de radioprotection et de sûreté nucléaire (IRSN, France)<br> and consists of statistics on caesium 137 deposition around the Fukushima-Daiichi plant after the 2011 accident.<br> <br> These statistics cover each ~5km2 grid cell of an observation field of deposition in Bq.m-2 measured by aerial radiation monitoring.</p>
The 2021-2022 Fukushima-Oki Earthquakes in Northeastern Japan: Dehydration Triggered Fault Reactivation Boosted by Slab Segmentation
<p>codes.rar: codes of double-difference seismic tomography</p> <p>catalog.dat: earthquake phase catalog used in the DD tomography</p> <p>station.dat: station coordinates of the seismic network </p> <p>MOD: grids in the initial Vp and Vp/Vs models</p> <p>Vp_model.dat: inverted 3-D Vp model</p> <p>Vs_model.dat: inverted 3-D Vs model</p> <p>VpVs_model.dat: inverted 3-D Vp/Vs model</p> <p>earthquake.reloc: relocations of the earthquakes</p>
Introgression dynamics from invasive pigs into wild boar following the March 2011 natural and anthropogenic disasters at Fukushima
<p>Natural and anthropogenic disasters have the capability to cause sudden extrinsic environmental changes and long-lasting perturbations including invasive species, species expansion, and influence evolution as selective pressures force adaption. Such disasters occurred on March 11th 2011, in Fukushima, Japan when an earthquake, tsunami, and meltdown of a nuclear power plant all drastically reformed anthropogenic land use. Here, we demonstrate, using genetic data, how wild boar (<em>Sus scrofa leucomystax</em>) have persevered against these environmental changes, including an invasion of escaped domestic pigs (<em>Sus scrofa domesticus</em>). Concurrently, we show evidence of successful hybridization between pigs and native wild boar in this area, however in future offspring, the pig legacy has been diluted through time. We speculate that the range expansion dynamics inhibit long-term introgression and introgressed alleles will continue to decrease at each generation while only maternally inherited organelles will persist. Using the gene flow data among wild boar, we assume that offspring from hybrid lineages will continue dispersal north at low frequencies as climates warm. We conclude that future risks for wild boar in this area include intraspecies competition, revitalization of human related disruptions, and disease outbreaks.</p>
A decade of cumulative radiocesium testing data for foodstuffs throughout Japan after the 2011 Fukushima Daiichi Nuclear Power Plant accident
<p>Updated dataset.</p>
Data files for 'Tan et al., (2023). Structural heterogeneity-controlled rupture process of the 2021 Mw 7.1 Fukushima, Japan earthquake revealed by joint inversion of seismic and geodetic data'
<p>slip model.dat: rupture model of the 2021 Mw 7.1 Fukushima earthquake</p> <p>In 'slip model.dat', each row contains the moment rate function of each sub-fault. The numbers of the sub-faults are given in the first two columns.</p>
Data from: Vehicle-mounted cameras reveal negative impact of the Fukushima Daiichi nuclear power plant accident on large-bodied bird abundance via paddy field abandonment
Open the record for dataset details and reuse information.
Introgression dynamics from invasive pigs into wild boar following the March 2011 natural and anthropogenic disasters at Fukushima
Open the record for dataset details and reuse information.
Cs-137 in forests ecosystems contaminated by the Fukushima Daiichi Nuclear Power Plant Accident
<p>We developed a dataset for radiocaesium (<sup>137</sup>Cs) in trees, soil, and mushrooms measured in the forests affected by the Fukushima nuclear accident. The <sup>137</sup>Cs activity concentration and inventory data reported in scientific journal papers written in English or in Japanese, governmental reports, and governmental monitoring data on the web were collated. The ancillary information describing the forest stands were also collated, and environmental information was derived from the other databases using longitude and latitude coordinates of the sampling locations.</p> <p>The database consists of three separate files: 1) a data file, which contains radioactivity and ancillary data, 2) a field-description file, which explains the contents of the data file and the units of data, and 3) a reference list file, which contains the source number and the details of the reference. When the source has only a Japanese title, we translated the title into English, and included both titles in the reference list file.</p> <p> </p> <p><strong>Version 1.1</strong></p> <p>More descriptions have been added in "fields-description", and the data entry errors found in the review process have been modified.</p> <p> </p> <p><strong>The description of the dataset</strong>:</p> <p>Hashimoto et al. (2020) A dataset of <em><sup>137</sup>Cs activity concentration and inventory in forests contaminated by the Fukushima accident</em>, Scientific Data, 7 Article number 431. <a href="http://doi.org/10.1038/s41597-020-00770-1">doi: 10.1038/s41597-020-00770-1</a> Contained in a journal's special "Collection": <a href="https://www.nature.com/collections/fhddajgafg">Infrastructure risk and disaster data / Nuclear disaster impact datasets</a>.</p> <p> </p> <p><strong>Funding:</strong></p> <p>This study was supported by JSPS KAKENHI Grant Number 16H04945, and by research grants from FFPRI (#201501, #201901).</p> <p> </p>
Data from: Factors associated with possession of accurate knowledge regarding occupational health management among operations leaders of radiation decontamination workers in Fukushima, Japan: a cross-sectional study
Objectives: An operations leader (OL) takes an important role in occupational health management for radiation decontamination workers in Japan, and candidates for the position must participate in a training session to acquire the necessary knowledge as required by law. However, it has not been clarified whether the candidates for the OL position actually possess accurate knowledge regarding occupational health management for such work after the training session. We therefore aimed at examining the current occupational health management knowledge among the candidates and investigating factors related to the knowledge, with hypothesis that possession of accurate knowledge is associated with prior experience of having worked in radiation decontamination. Design: A cross-sectional study. Setting: The training sessions held by Fukushima Prefecture Labor Standard Associations in Fukushima, Japan, in 2017. Participants: Eighty male candidates participated in the training sessions. Outcome: The number/proportion of correct answers to the questions regarding occupational health management such as those on working environment management, control of operations, and health management. Results: The proportion of those who possessed accurate knowledge regarding working environment management, control of operations, and health management, was 68.8%, 55.0%, and 51.2%, respectively. Experience of radiation decontamination work was associated with the possession of inaccurate knowledge regarding working environment management (OR 0.140 [95% CI 0.042, 0.464]), and the uncertainty of future radiation decontamination work schedules in difficult-to-return zones was associated with the possession of accurate knowledge regarding health management (OR 4.382 [95% CI 1.525, 12.591]). Conclusions: Previous experience in radiation decontamination work may hinder the ability to acquire accurate information regarding working environment management among candidates for an OL position. To promote adequate occupational health management for radiation decontamination workers, it is required to establish an effective instructional method for the OL candidate training sessions with consideration of previous relevant experience.
The 2021 and 2022 Fukushima-Oki Earthquake Doublet: Reactivations of the Bending-Related Faults Inside the Japan Trench Subducting Slab
<p>The strong-motion (K-NET, KiK-net and S-net) waveforms and teleseismic <em>P</em> waves that were processed and used in the joint inversions of the 2021 <em>M</em><sub>w</sub>7.1 and 2022 <em>M</em><sub>w</sub> 7.3 Fukushima-Oki earthquakes are included in this repository.</p>
A decade of cumulative radiocesium testing data for foodstuffs throughout Japan after the 2011 Fukushima Daiichi Nuclear Power Plant accident
<p>This site shares a decade of cumulative radiocesium testing data for foodstuffs throughout Japan after the 2011 Fukushima Daiichi Nuclear Power Plant accident.</p> <p>The unexpected accident at the Fukushima Daiichi Nuclear Power Station in Japan, which occurred on March 11th, 2011, after the Great East Japan Earthquake and tsunami struck the north-eastern coast of Japan, released radionuclides into the environment. Today, because of the amounts of radionuclides released and their relatively long half-life, the levels of radiocesium contaminating foodstuffs remain a significant food safety concern. Foodstuffs in Japan have been sampled and monitored for <sup>134,137</sup>Cs since the accident. More than 2.5 million samples of foodstuffs have been examined with the results reported monthly during each Japanese fiscal year (FY, from April 1<sup>st</sup> to March 31<sup>st</sup>) from 2012 to 2021. A total of 5,695 samples of foodstuffs within the “general foodstuffs” category collected during this whole period and 13 foodstuffs within the “drinking water including soft drinks containing tea as a raw material” category sampled in FY 2012 were found to exceed the Japanese maximum permitted level (JML) set at 100 and 10 Bq/kg, respectively. No samples from the “milk and infant foodstuffs” category exceeded the JML (50 Bq/kg). The annual proportions of foodstuffs exceeding the JML in the “general foodstuffs” category varied between 0.37% and 2.57%, and were highest in FY 2012. The <sup>134,137</sup>Cs concentration for more than 99% of the foodstuffs monitored and reported has been low and not exceeding the JML in recent years, except for those foodstuffs that are difficult to cultivate, feed or manage, such as wild mushrooms, plants, animals and fish. The monitoring data for foodstuffs show the current status of food safety risks from <sup>134,137</sup>Cs contamination, particularly for cultured and aquaculture foodstuffs on the market in Japan.The unexpected accident at the Fukushima Daiichi Nuclear Power Station in Japan, which occurred on March 11th, 2011, after the Great East Japan Earthquake and tsunami struck the north-eastern coast of Japan, released radionuclides into the environment. Today, because of the amounts of radionuclides released and their relatively long half-life, the levels of radiocesium contaminating foodstuffs remain a significant food safety concern. Foodstuffs in Japan have been sampled and monitored for <sup>134,137</sup>Cs since the accident. More than 2.5 million samples of foodstuffs have been examined with the results reported monthly during each Japanese fiscal year (FY, from April 1<sup>st</sup> to March 31<sup>st</sup>) from 2012 to 2021. A total of 5,695 samples of foodstuffs within the “general foodstuffs” category collected during this whole period and 13 foodstuffs within the “drinking water including soft drinks containing tea as a raw material” category sampled in FY 2012 were found to exceed the Japanese maximum permitted level (JML) set at 100 and 10 Bq/kg, respectively. No samples from the “milk and infant foodstuffs” category exceeded the JML (50 Bq/kg). The annual proportions of foodstuffs exceeding the JML in the “general foodstuffs” category varied between 0.37% and 2.57%, and were highest in FY 2012. The <sup>134,137</sup>Cs concentration for more than 99% of the foodstuffs monitored and reported has been low and not exceeding the JML in recent years, except for those foodstuffs that are difficult to cultivate, feed or manage, such as wild mushrooms, plants, animals and fish. The monitoring data for foodstuffs show the current status of food safety risks from <sup>134,137</sup>Cs contamination, particularly for cultured and aquaculture foodstuffs on the market in Japan.</p>
FIGURE 6 in A new species of the Hispaniolan endemic genus Antillena Bertani, Huff and Fukushima, 2017 (Araneae, Theraphosidae, Aviculariinae), with notes on the natural history of the genus
FIGURE 6. Hispaniolan map showing the type locality of Antillena miguelangeli sp. nov. (red square), previous records for A. rickwest (dark blue dots) and the new locality records for A. rickwesti (light blue dots).
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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.
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.