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A dataset listing the 97388 species recorded in GBIF matching the query: { "and" : [ "Country is Ecuador", "OccurrenceStatus is Present" ] } The dataset's 97388 records were derived from 1952 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013950-230224095556074/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

This cvs dataset contains time series of sea ice concentrations from four remote sensing derived products – the Sea Ice Index (Sea Ice Index), AMSR2 and AMSR-E, and National Ice Center NIC Charts. The dataset consists of the daily (or weekly in the case of NIC) timeseries for the available period of record beginning in 1979 for the Sea Ice Index and extending until April 1, 2019. The sea ice concentrations were extracted from the nearest corresponding pixels from the fifteen study sites associated with visited by projects ANT-1744550, -1744570, -1744584, and -1744602 during ARSV Laurence M. Gould cruise LMG 19-04 in April and May 2019. In addition to the original time series, five-year annual means starting on April 1st are computed for the Sea Ice Index, AMSR2 and NIC datasets all of which covered the 2014-2019 period. These five-year means include both annual and summer (October-February).

Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .

Inversion-based interpretation of borehole spontaneous potential measurements for accurate estimation of water resistivity in the presence of shoulder-bed and mud-filtrate invasion effects by Joshua Bautista-Anguiano and Carlos Torres-Verdín Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at Austin; Austin, Texas. And submitted to the peer-review journal: Water Resources Research

The Pro-Oceanus GTD 24-036-07 was deployed on 2012-08-12 at Patricia Bay. Patricia Bay is located in the Saanich Inlet, on the southern tip of Vancouver Island. This device is a Gas Tension Device. Gas Tension Device (GTD) instruments measure gas tension, or total dissolved gas pressure. The total dissolved gas pressure in seawater is the sum of the partial pressures of all dissolved gases. The GTD operates by equilibrating a small volume of air trapped behind a semi-permeable membrane that is resistant to seawater. When the air sample is isolated from hydrostatic pressure, the measured pressure is solely from the gases in the seawater. This internal pressure is measured using a very stable pressure sensor. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.

A dataset containing 95 species occurrences available in GBIF matching the query: { "and" : [ "HasCoordinate is true", "TaxonKey is Methanomicrobium Balch & Wolfe, 1981", "HasGeospatialIssue is false" ] } The dataset includes 95 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012606-190621201848488/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

{"references": ["Ramon, D., Allacker, K., De Troyer, F., Wouters, H., & van Lipzig, N. P. (2020). Future heating and cooling degree days for Belgium under a high-end climate change scenario. Energy and Buildings, 216, 109935.", "Nik, V. M. (2016). Making energy simulation easier for future climate\u2013Synthesizing typical and extreme weather data sets out of regional climate models (RCMs). Applied Energy, 177, 204-226.", "H. Wouters, M. Demuzere, U. Blahak, K. Fortuniak, B. Maiheu, J. Camps, D. Tielemans, N.P.M. Van Lipzig, The efficient urban canopy dependency parametrization (SURY) v1.0 for atmospheric modelling: Description and application with the COSMO-CLM model for a Belgian summer, Geosci. Model Dev. 9 (2016) 3027\u20133054. doi:10.5194/gmd-9-3027-2016.", "S. Vanden Broucke, H. Wouters, M. Demuzere, N.P.M. van Lipzig, The influence of convection-permitting regional climate modeling on future projections of extreme precipitation: dependency on topography and timescale, Clim. Dyn. (2019). doi:10.1007/s00382-018-4454-2.", "Ramon, D., Allacker K. (202X) Integrated assessment method for climate resilient buildings: framework and application on a Flemish office building. In preparation."]} Typical Downscaled Year (TDY), based on the methodology of Nik (2016), is extracted for the location of Leuven (city centre, 50°52'48" N 4°42'0" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY is extracted for the future period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X). This work was supported by Research Foundation Flanders (FWO) [1S97418N] and is part of the Ph.D. research 'Towards future-proof buildings in Flanders: Climate and Life Cycle modelling for resilient office buildings'. The climate model data used is the result of the CORDEX.be project funded by the Belgian federal government (Belgian Science Policy Office project BR/143/A2/CORDEX.be) and can be requested via nicole.vanlipzig@kuleuven.be. Computational resources for these integrations were provided by the VSC (Flemish Supercomputer Centre), funded by the Research Foundation – Flanders (FWO) and the Flemish Government - department EWI. The hourly observational data for the bias correction were provided by RMI (Belgian Royal Meteorological Institute).

Environmental data averaged over each year

Abstract This article has two main objectives: a) to briefly present and discuss some technical terms, concepts and approaches that deserve to receive more attention on the part of those Brazilian researchers who devote themselves to the field of urban studies from a perspective concerned with social justice (and with the obstacles that constrain or prevent it); b) to outline a research agenda regarding the conflicts over land use linked to the ideological friction between the right to housing and environmental protection. After an introductory discussion on the concept of environmental justice and its relevance to social struggles - contextualising the analysis with help of the concept of 'urban eco-geopolitics' -, it is offered a critical treatment of the term 'environmental risk.' Finally, as the main 'laboratory' that provides empirical support for the arguments developed in the text, the paper presents what can be understood as an emblematic case study of conservative exploitation of the discourse of 'environmental protection': the threat of forced eviction under which favela dwellers of the 'buffer zone' of the Tijuca National Park (Rio de Janeiro) have suffered.

This composite report returns data from two different gas chromatograph configurations (GC3 and NGA). Each row combines data from several measurements made on the same sample at the same time for a particular headspace or vacutainer sample. If data do not exist for a particular expedition, the column does not appear. Gas samples were measured by gas chromatography and either flame ionization detection (GC-FID) or thermal conductivity detection (GC-TCD). Reported analytes may include methane, ethane, ethene, propane, propene, n-butane, i-butane, n-pentane, i-pentane, n-hexane, i-hexane, n-heptane, i-heptane, nitrogen, oxygen, carbon monoxide, carbon dioxide, and hydrogen sulfide. When data are available, methane to (ethane + ethene) ratio (C1/C2�ratio) is reported. To identify individual samples and tests, see each separate analysis (GC3, NGAFID, and/or NGATCD).