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This Excel model encodes the analytical capability required to undertake an application of the adapted National Infrastructure Systems Modelling (NISMOD) capability, which has been developed by the Infrastructure Transitions Research Consortium (ITRC) - a UK based research consortium, led by the University of Oxford. Through a partnership between the United Nations Office for Project Service (UNOPS) and the ITRC, an initial national infrastructure assessment for Curaçao, known as Evidence-Based Infrastrastucture Assessment, has been performed. The focus of this model lies on one priority sector for the SIDS Curaçao: 'Waste Management'.

The data is solar incident radiation on building skins ( four facades and roof) of 4 cities together with the analysis for a whole year.

Maps of Köppen classification are done from Temperature and precipitation obtained by the Global Circulation Model IPSL-CM5A-LR. The model runs under different scenarios: RCP8.5 and ice sheets melting superimposed to RCP8.5.To reproduce the ice-sheet melting, freshwater is put in the North Atlantic (corresponds to Greenland melting) or around West-Antarctica. Freshwater is introduced between 2020 and 2070 under the RCP8.5 scenario and the total volume corresponds to a sea level rise of 0.5m, 1m, 1.5m and 3m. For the Antarctica and Greenland + Antarctic scenarios, only the 3m scenario is available.Five time series of Global Köppen classification with 20-year running mean are available in this repository. The maps are produced annually with a resolution of 0.5 ° X0.5 ° and contain the 31 classes of Köppen.1951 and 2005 for historical run (historical)2006 and 2099 for RCP8.5 scenarios (RCP85)2006 and 2099 for Greenland melting (GrIS05m, GrIS1m, GrIS15m, GrIS3m)2006 and 2099 for Antamelting (WAIS3m)2006 and 2099 for Greenland melting (GrWAIS3m)The annual maps are in Geotiff format produced by raster library with R langage. Each Köppen's class corresponds to a number between 0 (sea) and 35. The Excel file (Descriptions of classification.xlsx) give the correspondance between the number and the Köppen classification name (abreviations or full name). The legendQGIS_Koppen.qpt permits to draw map from each geotiff file with the correct classes and colors with QGIS.

Research Data Table 1 is a table of the georreferenced historical (literature-based) and species surveys occurrence points for Ctenomys magellanicus (Rodentia, Caviomorpha). These points are the raw data for the analyses performed in this work. Research Data Table 2 is the result of fitting 120 models (EDM) with different features combination.

<h3>Project Overview</h3> <p>Jurisdictional boundaries of governmental agencies often do not align with the geographic or social boundaries of the policy issues they are tasked with addressing. This spatial mismatch is especially common in relation to natural resources and the environment. Where it occurs, achievement of policy goals may require coordination across jurisdictions, which can lead to mutual benefits. Yet, governmental agencies may view coordination as costly or as leading to a loss of autonomy. This project examined coordination decisions made by local level governmental agencies in California, as they formed Groundwater Sustainability Agencies (GSAs) and subsequently coordinated development of their first groundwater sustainability plans (GSPs) under California's Sustainable Groundwater Management Act (SGMA). The project addresses the question of how agencies make decisions and manage interactions when under a coordination mandate that allots agencies the discretion to decide how to coordinate. More specifically, it investigates:<ol><li>What factors influence decisions regarding the geographic extent of and parties involved in development of new formal agencies for groundwater management,</li><li>How do concerns about the potential risks of coordination affect the choice of coordination mechanisms,</li><li>How does the structure of agency interactions affect their achievement of the objectives of the coordination mandate, and</li><li>How do agencies make sense of a coordination mandate and how does that sense-making process influence the decisions agencies make when deciding how to respond to the mandate?</li></ol></p> <h3>Data Collection Overview</h3> <p>Data were collected between January 2018 and May 2020. The methods for data collection varied by data type.<ul><li>Secondary data on the physical, social, and institutional characteristics of groundwater basins were collected from California Department of Water Resources datasets, the American Community Survey, and the National Land Use Database.</li><li>Data on GSA formation and copies of GSPs and Coordination Agreements were obtained from the California’s SGMA Portal Website (https://sgma.water.ca.gov/portal/)</li><li>Meeting minutes and other documentation were obtained from the respective websites of local-level agencies that formed GSAs.</li><li>Interviews were conducted with representatives from 67 groundwater sustainability agencies. Interviewees spanned 17 of the 19 basins and 38 of the 44 groundwater sustainability plans produced. Interviewees were identified based on formal GSA contact information and selected based on formal notices to produce a GSP. Recruitment sought to interview representatives from least one GSA from each GSP group.</li><li>Participant observation was undertaken of more than 58 public meetings (in person, virtually, or reviewing recordings).</li></ul></p> <h3>Shared Data Organization</h3> <p>The shared data is organized into three folders. A GIS folder contains 16 relevant data files. An interview transcripts folder contains 52 de-identified transcripts from the interviews that were recorded and transcribed. Some interviewees did not agree to recording and transcription of the interviews, thus data from those interviews are not available. A tabular data folder contains 3 spreadsheet workbooks. These include a spreadsheet documenting coordination concerns at the basin-level; a spreadsheet documenting organizational forms and institutions adopted at the basin-level; and a spreadsheet documenting coordination outcomes at the basin-level. Each spreadsheet includes a copy of the codebook used in analyzing the data. This data project also includes 6 documentation files: a GIS metadata workbook, an interview catalog, an interview consent form, a redaction protocol, this data narrative, and an administrative README file.</p> <h3>Data Overview</h3> <p>The research involved a mixed-methods approach that combines information on agencies; the physical, social, and institutional characteristics of groundwater basins and the agencies located within them; formal filings; agreements; and plans developed by agencies; meeting minutes; interview data; and data from participant observation.</p>

We employ qualitative content analysis on 29 survey responses from local officials around Japan’s 200 largest mega-solar plants constructed since 2012. Japan’s energy market has seen the siting and construction of over 2800 new mega-solar power plants since the introduction of the Feed-in Tariff policy in 2012. While scholars have highlighted the potential for community-engaged renewable power development with social benefits for local residents, many major mega-solar projects have instead resulted from industry-led initiatives in locations, largely avoiding community engagement. In this study, we draw from distributive energy justice perspectives to analyze social equity impacts of the mega-solar siting process. In our paper, we contextualize results through 18 interviews with relevant actors in six case studies. We find that given the existence of the Feed-in Tariff and sufficient solar irradiation, the availability of underutilized land decreases community bargaining power compared to historical power plant siting agreements. This results in primarily land leasing benefits and municipal tax revenue with minimal additional social impacts, such as employment. In our paper, we outline a model of causation for mega-solar social equity impacts, Japanese policy implications, and directions for future quantitative research.

monthly data in the experiment of 2xCO2, and 4xCO2.

AbstractBACKGROUND: Inappropriate utilisation of biosolids may adversely impact agrosystem productivity. Here, we address the response of wheat (Triticum durum) to different doses (0, 40, 100, 200 and 300 t ha−1) of either municipal solid waste (MSW) compost or sewage sludge in a greenhouse pot experiment. Plant growth, heavy metal uptake, and antioxidant activity were considered.RESULTS: Biomass production of treated plants was significantly enhanced at 40 t ha−1 and 100 t ha−1 of MSW compost (+48% and +78% relative to the control, respectively). At the same doses of sewage sludge, the increase was only 18%. Higher doses of both biosolids restricted significantly the plant growth, in concomitance with the significant accumulation of heavy metals (Ni2+, Pb2+, Cu2+ and Zn2+), especially in leaves. Leaf activities of antioxidant enzymes (ascorbate peroxidase, glutathione reductase, catalase and superoxide dismutase) were unchanged at 40 t ha−1 MSW compost or sewage sludge, but were significantly stimulated at higher doses (200–300 t ha−1), together with higher leaf concentration of reduced glutathione.CONCLUSION: This preliminary study suggests that a MSW supply at moderate doses (100 t ha−1) could be highly beneficial for wheat productivity. Copyright © 2010 Society of Chemical Industry