The data with a total volume of 15 TB is stored on the Big Data platform of the Joint Research Centre. It can be downloaded per UTM grid zone, loaded into GIS clients and displayed easily thanks to pre-computed overviews.A script was developed to perform homogenous radiolysis calculations. It was used specifically to calculate radiolysis products under various neutron and gamma flux environments [1]. The routine may be used to calculate a single radiolysis condition, multiple independent conditions, or multiple conditions computed in series (the final concentration set of run i is the initial concentration of run i+1). While designed for radiolysis of water, the routine is easily adapted to a variety of aqueous reaction systems and may even be altered with minimal effort for more general homogenous chemical analysis. In the present article, the Python routine is explained along with various outputs and inputs. It and the relevant input and output text files are included as supplementary materials. They are the raw data used for calculation of figures in the associated journal article.A bias-corrected dataset containing daily meteorological data over the Qinghai-Tibet Plateau has been generated using a trend-preserving bias correction, the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) approach, with a high-quality gridded meteorological dataset based on ground observations (CN05.1). The dataset contains daily bias-corrected values of maximum/minimum near-surface air temperature, precipitation and mean near-surface wind speed from 15 models from the Fifth Phase of the Coupled Model Intercomparison Project (CMIP5) and a downscaled high-resolution dataset (NEX-GDDP), based on CMIP5 models, over the Qinghai-Tibet Plateau (QTP) during 1986-2095. This dataset provides an important reference for the study of future climate change and its impacts in the Qinghai-Tibet Plateau region.The complete genome of the thraustochytrid Aurantiochytrium limacinum strain CCAP_4062/1 was sequenced using both Illumina Novaseq 6000 and third generation sequencing technology PacBio RSII in order to obtain trustworthy assembly and annotation. The reads from both platforms were combined at multiple levels in order to obtain a reliable assembly, then compared to the A. limacinum ATCCⓇ MYA1381™ reference genome. The final assembly was annotated with the help of strain CCAP_4062/1 RNAseq data. A. limacinum strain CCAP_4062/1 is an industrial strain used for the production of very long chain polyunsaturated fatty acids, like the docosahexaenoic acid that is an essential fatty acid synthesised only at very low pace in humans and vertebrates . Thraustochytrids in general and Aurantiochytrium more specifically, are used for carotenoid and squalene production as well. Beside their biotechnological interest, thraustochytrids play a crucial role in both inshore and oceanic basins ecosystems. Genome sequences will foster biotechnological as well as ecological studies.The paper presents a rich collection of data obtained as a result of a sociological survey of 230,880 parents from 85 constituent entities of the Russian Federation. this website The survey was held in 2019 by the Institute of Education Management of the Russian Academy of Education in conjunction with the Ministry of Enlightenment of the Russian Federation as part of the state task No. 073-00089-19-01 on the topic “Optimization of the Hot Food System in Educational Organizations Implementing General Education Programs (Regional Aspects, Best Practices).” In particular, the paper provides data on the opinions of parents about the organization of school meals for their schoolchildren. A total of three large aspects are covered (1) the demand for school cafeteria services and payment for meals; (2) satisfaction of parents with various aspects of catering in educational organizations; (3) catering control and information work.Chronological measurements of litterfall production can be used for understanding ecosystem dynamics such as net primary production and carbon cycling in highly seasonal ecosystems such as tropical dry forests (TDF). This paper presents data on litterfall production and meteorology in an old-growth TDF. The data was generated within the Monte Mojino Reserve located in the Sierra de Alamos – Rio Cuchujaqui Natural Protected Area in northwestern México. For litterfall collection, twenty randomly placed litterfall traps were installed to collect monthly litterfall production across four full growing seasons (48 monthly collections). Meteorological data were obtained from an automatic micrometeorological station that recorded data in situ from January 2013 to March 2019. The database includes litterfall production [g m-2 month-1], monthly rainfall [mm], air temperature [°C], relative humidity [%] and photosynthetic active radiation [µmol m-2 s-1].The spotted seahorse, Hippocampus kuda population is exponentially decreasing globally due to habitat loss contributed by massive coastal urbanization as well as its large exploitation for Chinese herbal medicine. Genomic data would be highly useful to improve biomonitoring of seahorse populations in Malaysia via the usage of non-invasive approaches such as water environmental DNA. Here we report the first complete mitogenome of two H. kuda individuals originating from Malaysia, generated using BGISEQ-500RS sequencer. The lengths of both mitogenomes are 16,529bp, consisting of 13 protein-coding genes, 22 transfer RNA genes, two ribosomal RNA genes, and a control region. The overall base composition was 32.46% for A, 29.40% for T, 14.73% for G and 23.41% for C with AT rich features (61.86%). The gene organization of Malaysian H. kuda were similar to that of most teleost species. A phylogenetic analysis of the genome against mtDNA data from other Hippocampus species showed that Malaysian H. kuda samples clustered with H. capensis, H. reidi and H. kuda. Notably however, analysis of the data using BLASTn revealed they had 99.18% similarity to H. capensis, and only 97.66% to H. kuda and H. reidi, which are all part of the unresolved H. kuda complex. The mitogenomes are deposited in Genbank under the accession number MT221436 (HK1) and MT221436 (HK2).