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This data set represents the raw data findings from the AeN Fram Centre (MIKON) experiment exposing wild-caught polar cod (Boreogadus saida) adults to the water-soluble fraction (WSF) of crude oil or control conditions and either at a low or high feed ration over their spawning and post-spawning period. Samples were taken during late gonadal development, during active spawning, and in the post-spawning period. The experimental set-up consisted of oiled-rock columns to simulate an oil spill by delivering decreasing aqueous levels of oil compounds over time. The adult polar cod were captured in Southeastern Hinlopen (78° 55'N, 23° 40'E) in November 2017 and transferred to the aquaculture research station of UiT in Kårvika, Norway (69°23'N, 18°10'E) where they were acclimatized to laboratory conditions for one year before the experiment began. The experiment lasted 131 days and during this time, samples were taken on day 0, day 47, and day 131. Morphometric, histological, gene expression, PAH metabolite, and steroid hormone endpoints were measured. In addition to the data from the fish samples, this data set includes PAH levels in the water throughout the experiment, PAH levels in eggs retrieved from females at day 47, and tank conditions during the experiment. In addition, a subset of polar cod was sampled to determine the dry somatic weight to wet somatic weight ratio for polar cod, this data is also included. This work was supported by the Research Council of Norway under Grant 276730 (Nansen Legacy), Grant 248840 (dCod 1.0: decoding systems toxicology of Atlantic cod), and Grant 228107 (Research Centre for Arctic Petroleum Exploration), the Fram Centre (MIKON) under Project PARENTOX (2020) and Sensitivity of sexually matured polar cod (Boreogadus saida) to the water-soluble fraction of crude oil under low and high food regimes (2019).

This dataset contains eDNA MOTUs for 72 water samples collected in the lagoon and reefs of New-Caledonia in 2019 and 2020. The data were collected under permits to Laurent Vigliola by the Southern Province of New Caledonia (permit N° 3066-2019/ARR/DENV ) and the Northern Province of New Caledonia (permit N° 609011/2019/DEPART/JJC). It was used and processed during the PhD of Laetitia Mathon and Florian Baletaud. Collection was performed during the REEF3.0 project led by Laurent Vigliola. The data contains the outputs of the bioinformatic process as described in Marques et al 2020. The metadata contains information on the sampling filters and sampling locations.

Dataset abstract Aerosol particles come from a variety of sources: a look at the chemical composition gives insights on the particle origin. Ion chromatography was performed for aerosol particles smaller than 10 micrometers (PM10 inlet), giving concentrations of sodium and chloride, as well as particulate methylsulfonic acid (MSA). For this, aerosol particles where sampled on quartz fibre filters for 24 hours each. The sampled filters were stored at -20 degrees C on the research vessel, transported frozen back to the chemistry lab of TROPOS and analysed for main ions. Temporal coverage is from December 20, 2016 to March 20, 2017. We give 24-hour quality controlled particulate MSA, sodium and chloride concentrations in microgram per cubic meter for the Antarctic Circumnavigation Expedition (ACE) cruise over the Southern Ocean, as part of the ACE-SPACE project. Dataset contents ACESPACE_ particulate_MSA_Sodium_Chloride_PM10, data file, comma-separated values data_file_header, metadata, text format README.txt, metadata, text format {"references": ["van Pinxteren, M., Barthel, S., Fomba, K., M\u00fcller, K., von T\u00fcmpling, W., and Herrmann, H.: The influence of environmental drivers on the enrichment of organic carbon in the sea surface microlayer and in submicron aerosol particles \u2013 measurements from the Atlantic Ocean, Elem Sci Anth, 5, https://doi.org/10.1525/elementa.225, 2017.", "Fernando P\u00e9rez, Brian E. Granger, IPython: A System for Interactive Scientific Computing, Computing in Science and Engineering, vol. 9, no. 3, pp. 21-29, May/June 2007, doi:10.1109/MCSE.2007.53"]} The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. We acknowledge funding from DFG within SPP 1158 (Grant no. STR 453/12-1).

FISHNET 3.0 (FN3) était un outil de gestion des données utilisé pour : * planifier et créer des index lors des enquêtes sur la pêche * saisir les données de terrain et de laboratoire * stocker les données de terrain dans un entrepôt de données central * analyser les données * déclarer les résultats des enquêtes FN3 a été mis hors service en mars 2019. Cet ensemble de données comprend des enquêtes sur les index de poissons pris au filet qui étaient précédemment stockées dans l'application FN3. Les données sont conformes aux normes d'enquête standards établies pour évaluer l'état des populations de poissons, telles que la Trappe en filet à la fin du printemps, le Décompte automnal de prises de dorés au filet, l'Index des communautés de poissons riverains pris au filet et l'Index printanier des poissons du littoral pris au filet). Ces normes régissent le type, le lieu, la saison, l'équipement et la technique de pêche utilisés. Cet ensemble de données est la source officielle des données d'enquête sur les index de poissons pris au filet précédemment stockées et gérées dans FN3. Cet ensemble de données est classé comme étant de sensibilité moyenne, car il comprend des données sur les espèces suivies à l'échelle provinciale. Les données sensibles sont soumises à des licences et à des approbations. Vous pouvez demander ces données en contactant NRIU@ontario.ca. FISHNET 3.0 (FN3) was a data management tool used to: * plan and create index fishing surveys * enter field and lab data * store field data in a central repository * analyze data * report survey results FN3 was decommissioned in March 2019. This dataset includes index netting surveys that were previously stored in the FN3 application. The data adheres to the established survey standards for assessing the status of fish populations, such as End of Spring Trap Netting (ESTN), Fall Walleye Index Netting (FWIN), Nearshore Community Index Netting (NSCIN) and Spring Littoral Index Netting (SLIN). These standards govern the type, location, season, gear and fishing technique used. This dataset is the authoritative source for index netting survey data previously stored and managed in FN3. This dataset is classified as medium sensitive because it includes provincially tracked species data. Sensitive data is subject to licensing and approvals. You can request this data by contacting NRIU@ontario.ca.

[Apprendre à pêcher](https://www.ontario.ca/fr/page/apprenez-pecher) est un programme pratique qui vise à accroître la participation à la pêche récréative en Ontario. Ce programme comporte deux volets : * offrir une expérience pratique de la pêche * faire de la sensibilisation visant à promouvoir la pêche récréative dans les festivals et les événements partout en Ontario Cet ensemble de données comprend : * nom de l'emplacement * adresse de l'emplacement * état de l'événement * nom de l'événement * date de début et de fin * URL * coordonnées géospatiales [Learn to Fish](https://www.ontario.ca/page/learn-fish) is a hands‐on program working to increase participation in recreational fishing in Ontario. It has two components: * hands‐on fishing experiences * an outreach program promoting recreational fishing at festivals and events across Ontario This dataset includes: * location name * location address * event status * event name * start and end dates * URLs * geospatial coordinates

{"references": ["Nitze, I., Grosse, G., Jones, B., Arp, C., Ulrich, M., Fedorov, A., et al. (2017). Landsat-based trend analysis of lake dynamics across northern permafrost regions. Remote Sens. 9:640. doi: 10.3390/rs9070640", "Nitze, I., Grosse, G., Jones, B. M., Romanovsky, V. E., and Boike, J. (2018). Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. Nat. Commun. 9:5423. doi: 10.1038/s41467-018-07663-3", "Bartsch A, Ley S, Nitze I, Pointner G and Vieira G (2020) Feasibility Study for the Application of Synthetic Aperture Radar for Coastal Erosion Rate Quantification Across the Arctic. Front. Environ. Sci. 8:143. doi: 10.3389/fenvs.2020.00143"]} The dataset covers the Laptev Sea coast from 120 to 168 E and Alaska and Canadian Beaufort Sea Coast from 130 to 168 W. Probabilities of erosion and accretion (change of land to water and visa versa) have been derived from Landsat for the time period 1999–2014. A probability threshold of 50% was applied to separate erosion and accretion areas which are provided as polygons (shape files). Further information regarding the algorithm is available in Bartsch et al. (2020). The authors acknowledge financial support by the HORIZON2020 (BG-2017-1) project Nunataryuk, ESA's DUE GlobPermafrost project (Contract Number 4000116196/15/INB) and ESA's CCI+ Permafrost (4000123681/18/I-NB) project.

{"references": ["Bartsch, A., Pointner, G., Ingeman-Nielsen, T. & Lu, W. (2020), 'Towards circumpolar mapping of Arctic settlements and infrastructure based on Sentinel-1 and Sentinel-2', Remote Sensing 12(15), 2368.", "Elvidge, C. D., Zhizhin, M., Ghosh, T., Hsu, F.-C. & Taneja, J. (2021), 'Annual time series of global VIIRS nighttime lights derived from monthly averages: 2012 to 2019',Remote Sensing13(5), 922", "Obu, J., Westermann, S., Barboux, C., Bartsch, A., Delaloye, R., Grosse, G., Heim, B., Hugelius,G., Irrgang, A., K\u00e4\u00e4b, A. M., Kroisleitner, C., Matthes, H., Nitze, I., Pellet, C., Seifert, F. M., Strozzi, T., Wegm\u00fcller, U., Wieczorek, M. & Wiesmann, A. (2021a), 'ESA Permafrost Climate Change Initiative (permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v3.0'.", "Obu, J., Westermann, S., Barboux, C., Bartsch, A., Delaloye, R., Grosse, G., Heim, B., Hugelius, G.,Irrgang, A., K\u00e4\u00e4b, A. M., Kroisleitner, C., Matthes, H., Nitze, I., Pellet, C., Seifert, F. M.,Strozzi, T., Wegm \u00fcller, U., Wieczorek, M. & Wiesmann, A. (2021b), 'ESA Permafrost Climate Change Initiative (permafrost_cci): Permafrost extent for the Northern Hemisphere, v3.0'.", "Obu, J., Westermann, S., Barboux, C., Bartsch, A., Delaloye, R., Grosse, G., Heim, B., Hugelius,G., Irrgang, A., K\u00e4\u00e4b, A. M., Kroisleitner, C., Matthes, H., Nitze, I., Pellet, C., Seifert,F. M., Strozzi, T., Wegm\u00fcller, U., Wieczorek, M. & Wiesmann, A. (2021c), 'ESA Permafrost Climate Change Initiative (permafrost_cci): Permafrost ground temperature for the Northern Hemisphere, v3.0", "Wang, S., Ramage, J., Bartsch, A. & Efimova, A. (2021), 'Population in the arctic circumpolar permafrost region at settlement level', Zenodo. 10.5281/ZENODO.45296", "Martha K. Raynolds, Donald A. Walker, Andrew Balser, Christian Bay, Mitch Campbell, Mikhail M. Cherosov, Fred J.A. Dani\u00ebls, Pernille Bronken Eidesen, Ksenia A. Ermokhina, Gerald V. Frost, Birgit Jedrzejek, M. Torre Jorgenson, Blair E. Kennedy, Sergei S. Kholod, Igor A. Lavrinenko, Olga V. Lavrinenko, Borg\u00fe\u00f3r Magn\u00fasson, Nadezhda V. Matveyeva, Sigmar Met\u00fasalemsson, Lennart Nilsen, Ian Olthof, Igor N. Pospelov, Elena B. Pospelova, Darren Pouliot, Vladimir Razzhivin, Gabriela Schaepman-Strub, Jozef \u0160ib\u00edk, Mikhail Yu. Telyatnikov, Elena Troeva (2019): 'A raster version of the Circumpolar Arctic Vegetation Map (CAVM)', Remote Sensing of Environment, Volume 232, 111297.", "Nitze, I., Grosse, G., Jones, B. M., Romanovsky, V. E. & Boike, J. (2018), 'Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic', Nature Communications 9(1).", "Bartsch et al. (2021), Expanding infrastructure and growing anthropogenic impacts along Arctic coasts, ERL\u00a0https://iopscience.iop.org/article/10.1088/1748-9326/ac3176/meta"]} The SACHI (Sentinel-1/2 derived Arctic Coastal Human Impact) dataset has been primarily developed as part of the HORIZON2020 project Nunataryuk by b.geos (www.bgeos.com). It covers a 100km buffer from the Arctic Coast (land area), for areas with permafrost near the coast. It is based on Sentinel-1 and Sentinel-2 data from 2016-2020 using the algorithms described in Bartsch et al. (2020). It is a supplement to Bartsch et al. (2021 - https://iopscience.iop.org/article/10.1088/1748-9326/ac3176/meta). It consists of three shape files: 1) SACHI.shp - all identified objects with infrastructure/impact classes and auxiliary information (permafrost status and trends, nightlight radiance, vegetation zone, Normalized Difference Vegetation Index trends from Landsat, settlements names) 2) SACHI_100km_buffer - Buffer polygon (analyses extent) 3) SACHI_granules_acquisition_dates - processed Sentinel-2 granule extent polygons with dates of all used input data SACHI class values: 1=linear transport infrastructure, 2=buildings (and other constructions such as bridges), 3=other impacted area (includes gravel pads, mining sites) See README.TXT for description of data fields. Further support was received by ESA CCI+ Permafrost, HGF AI-CORE, and NSF Permafrost DiscoveryGateway. The processing scheme was developed on a highly performant virtual machine (VM) provided by the Copernicus Research and User Support (RUS). Results are based on modified Copernicus data from 2016 to 2020.

The purpose of this study was to investigate the hypothesis that cortisol is a major regulator of skin ionocyte remodelling during the transition of amphibious fishes from water to land. To test this hypothesis, we measured whole-body cortisol content, skin and gill ionocyte morphometrics, whole-body osmolality and terrestrial jumping performance of the highly amphibious mangrove rivulus (Kryptolebias marmoratus). Notes on browsing: Click on the "Tree" view to identify folder structure and related files.

Preliminary SEA for the Petroleum Sector in Zambia - - - - - - - - - - - - - - - - - - - - - - - - - - This DVD contains * The original word- and pdf-files for the Preliminary SEA in Zambia. * Map files (/maps) * Figures (figures) * Literature (literature) * Tools (tools) Folder : F i g u r e s - - - - - - - - - - - - Original files for figures used in the produced documents. Folder : L i t e r a t u r e - - - - - - - - - - - - - - - - Contains background material used in the process of this SEA. Some of it has been referenced in the document. Folder : T o o l s - - - - - - - - - - Contains some open source GIS tools suitable for installation on a desktop computer for viewing the included GIS files. Folder : M a p s - - - - - - - - - Folder contains folders with GIS tool project files, map exports (PFD/EMF files) and other technical background files. Users without access to map tools should focus on the map exports folder. We refer to readme.txt files within the folders mentioned above for more details on their contents. For an understanding of the context of the resources on this DVD we refer to the report available in both word- and pdf-format on this DVD. The provided data is provided as-is. It should not be forwarded outside the context of this preliminary SEA. When in doubt with regards to ownership issues relevant authorities should be contacted. Mr. Kennedy A. Liyungu Director, Geological Survey Department Unzipped size is around 2.7 GB.

Deze man vertelt hoe hij bij de Nationale Reserve van Canada kwam en met de Canadese marine in de Perzische Golf op embargo’s controleerde. Hij wilde graag beroepsmilitair worden, maar dat kon alleen in het Canadese leger, niet bij de marine. Dus ging hij bij het Canadese leger. Hij is nog altijd erg trots op zijn uniform en hijst nog elke dag de Canadese vlag. Later is hij een opleiding verpleegkunde gaan volgen omdat hij tijdens uitzendingen vaak het gevoel had dat hij niet genoeg kon doen voor kwetsbare mensen.