cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f15718zn
title: Cumulative human impacts: pressure and cumulative impacts data (2013, all pressures)

description: This is a portion of the data used to calculate 2008 and 2013 cumulative human impacts in: Halpern et al. 2015. Spatial and temporal changes in cumulative human impacts on the world's ocean. Seven data packages are available for this project: (1) supplementary data (habitat data and other files); (2) raw stressor data (2008 and 2013); (3) stressor data rescaled by one time period (2008 and 2013, scaled from 0-1); (4) stressor data rescaled by two time periods (2008 and 2013, scaled from 0-1); (5) pressure and cumulative impacts data (2013, all pressures); (6) pressure and cumulative impacts data (2008 and 2013, subset of pressures updated for both time periods); (7) change in pressures and cumulative impact (2008 to 2013). All raster files are .tif format and coordinate reference system is mollweide wgs84. Here is an overview of the calculations: Raw stressor data -&gt; rescaled stressor data (values between 0-1) -&gt; pressure data (stressor data after adjusting for habitat/pressure vulnerability) -&gt; cumulative impact (sum of pressure data) -&gt; difference between 2008 and 2013 pressure and cumulative impact data. This data package includes the 2013 pressure and final cumulative impacts data. The pressure data are the stressor data after adjusting for the vulnerability of the habitats to a given pressure. These pressure data are then summed to calculate the cumulative impacts data. This is the most complete data but is not appropriate for comparing to the 2008 data (for that use data package: Cumulative human impacts: 2008 and 2013 pressure and cumulative impacts data (subset of pressures)). Pressure data was calculated for each stressor by: (1) multiplying the rescaled stressor (rescaled using only the 2013 data) by each habitat layer and the corresponding stressor/habitat vulnerability score (for each stressor this generates: 20 rasters); (2) summing the resulting stressor/habitat/vulnerability rasters (generates 1 raster for each stressor); (3) dividing by the number of habitats found in each raster cell layer. The cumulative impacts was calculated by summing all the pressure rasters. There are N=19 pressure rasters and N=1 cumulative impact raster.
DOI: 10.5063/f19z92tw
title: Cumulative human impacts: Supplementary data

description: This is a portion of the data used to calculate 2008 and 2013 cumulative human impacts in: Halpern et al. 2015. Spatial and temporal changes in cumulative human impacts on the world's ocean. Seven data packages are available for this project: (1) supplementary data (habitat data and other files); (2) raw stressor data (2008 and 2013); (3) stressor data rescaled by one time period (2008 and 2013, scaled from 0-1); (4) stressor data rescaled by two time periods (2008 and 2013, scaled from 0-1); (5) pressure and cumulative impacts data (2013, all pressures); (6) pressure and cumulative impacts data (2008 and 2013, subset of pressures updated for both time periods); (7) change in pressures and cumulative impact (2008 to 2013). All raster files are .tif format and coordinate reference system is mollweide wgs84. Here is an overview of the calculations: Raw stressor data -&gt; rescaled stressor data (values between 0-1) -&gt; pressure data (stressor data after adjusting for habitat/pressure vulnerability) -&gt; cumulative impact (sum of pressure data) -&gt; difference between 2008 and 2013 pressure and cumulative impact data. This data package includes 20 habitat rasters (preceded by hab_) and a vulnerability weighting matrix (csv) that describes the vulnerability of each habitat to each stressor. Also included are an ocean mask raster and a raster of the number of habitats in each raster cell (used to average the habitat vulnerability-weighted stressor intensities).
DOI: 10.5063/f1ws8r5t
title: Cumulative human impacts: change in pressures and cumulative impact (2008 to 2013)

description: This is a portion of the data used to calculate 2008 and 2013 cumulative human impacts in: Halpern et al. 2015. Spatial and temporal changes in cumulative human impacts on the world's ocean. Seven data packages are available for this project: (1) supplementary data (habitat data and other files); (2) raw stressor data (2008 and 2013); (3) stressor data rescaled by one time period (2008 and 2013, scaled from 0-1); (4) stressor data rescaled by two time periods (2008 and 2013, scaled from 0-1); (5) pressure and cumulative impacts data (2013, all pressures); (6) pressure and cumulative impacts data (2008 and 2013, subset of pressures updated for both time periods); (7) change in pressures and cumulative impact (2008 to 2013). All raster files are .tif format and coordinate reference system is mollweide wgs84. Here is an overview of the calculations: Raw stressor data -&gt; rescaled stressor data (values between 0-1) -&gt; pressure data (stressor data after adjusting for habitat/pressure vulnerability) -&gt; cumulative impact (sum of pressure data) -&gt; difference between 2008 and 2013 pressure and cumulative impact data. This data package includes rasters of the difference between 2013 and 2008 for each pressure (N=12) and final cumulative impacts data (N=1). These are calculated using data from: pressure and cumulative impacts data (2008 and 2013, subset of pressures updated for both time periods), and consequently do not incorporate data from: sea level rise, ocean pollution, invasives, and shipping because these data were not available for 2008. Data for 2008 and 2013 did not differ for: artisanal fishing, inorganic pollution, and ocean acidification.
DOI: 10.5063/f1n877q2
title: Testing Amazon Transitional Forest Leaf Flammability: Combustion Experiment Temperature Readings (2015)

description: Intensifying land use practices and global climate change are leading to increased forest fragmentation and more severe droughts in the southeastern transitional forests of the Brazilian Amazon. The combination of land use and droughts has increased fire frequency, intensity, and extent in the region. Various plant traits can either limit or promote flammability, as demonstrated in many seasonally dry environments (e.g. Mediterranean shrublands), which are home to species that are adapted to frequent fire. However, little research has been done to associate flammability with the leaf traits of humid tropical forest species that are experiencing fire with greater frequency and severity than historically recorded. In this study, the leaf traits and consequent burning characteristics of seventeen species abundant in a transitional forest plot in Mato Grosso, Brazil were analyzed through controlled combustion experiments and trait measurements. Principal components analysis and linear regression were employed to compare leaf traits and their ability to predict flammability. The results reported herein show that these species demonstrate variability in flammability. Individual leaf surface area and leaf volume were found to be the most significant predictors of flammability among these species. The most flammable species were those with thin, lightweight leaves that become arranged in loosely packed, highly aerated fuelbeds and would be able to drive rapidly moving, high intensity fire across the forest floor, consuming a larger amount of fuel. The less flammable species were characterized by thick, heavy leaves that create dense fuelbeds, potentially inhibiting fire spread and the overall consumption of available fuels. Analyzing the dynamics between leaf traits and plant flammability with forest composition, successional trajectories and future fire behavior could lead to an examination of overall landscape effects in which certain species with fire-adaptive strategies could outcompete more fire-sensitive species, therefore influencing future fire regimes. Furthermore, given a scenario of increasing fire, this knowledge can lead to more effective conservation and land use policies in tropical regions.
DOI: 10.5063/f1dr2sdd
title: Cumulative human impacts: stressor data rescaled by one time period (2008 and 2013, scaled from 0-1)

description: This is a portion of the data used to calculate 2008 and 2013 cumulative human impacts in: Halpern et al. 2015. Spatial and temporal changes in cumulative human impacts on the world's ocean. Seven data packages are available for this project: (1) supplementary data (habitat data and other files); (2) raw stressor data (2008 and 2013); (3) stressor data rescaled by one time period (2008 and 2013, scaled from 0-1); (4) stressor data rescaled by two time periods (2008 and 2013, scaled from 0-1); (5) pressure and cumulative impacts data (2013, all pressures); (6) pressure and cumulative impacts data (2008 and 2013, subset of pressures updated for both time periods); (7) change in pressures and cumulative impact (2008 to 2013). All raster files are .tif format and coordinate reference system is mollweide wgs84. Here is an overview of the calculations: Raw stressor data &gt; rescaled stressor data (values between 0-1) &gt; pressure data (stressor data after adjusting for habitat/pressure vulnerability) &gt; cumulative impact (sum of pressure data) &gt; difference between 2008 and 2013 pressure and cumulative impact data. This data package includes 2008 and 2013 stressor data rescaled to have values between 0 and 1. These values were calculated for each stressor/year raster cell by first log10(x+1) transforming the data and then dividing by the highest raster cell value for each stressor/year. There are N=18 2008 rasters (preceded by rescaled_2008_one_) and N=19 2013 rasters (preceded by rescaled_2013_one_). There is no sea level rise raster for 2008.
DOI: 10.15121/1196280
title: Brady Geothermal Field Well Lithologies

description: Well lithologies and corresponding descriptions exported from the 3D Leapfrog geologic model.
DOI: 10.21227/awv3-ke21
title: PowerGenerationofWT

description: PowerGenerationofWT
DOI: 10.21227/yb61-rc36
title: PowerGenerationofWT

description: PowerGenerationofWT
DOI: 10.5063/f1hh6h0r
title: Liana Removal Experiment Soil Moisture Data, Gigantes Peninsula, Panama, 2011–2014

description: We measured soil moisture in a seasonal tropical moist forest to determine the effects of liana removal on soil moisture and tree soil water use. The liana removal experiment occurs on the Gigante Peninsula (9.11 N, 79.85 W), which is a part of the Barro Colorado Island Nature Monument, Republic of Panama. We monitored soil moisture in 16 80 x 80 m experimental plots. Eight plots were controls, and the remaining eight plots had all lianas stems cut. In April 2011 we installed 10 Decagon EC5 soil moisture probes in each experimental plot, eight probes at 10 cm depth and two at 40 cm depth. The sensors were installed in groups of five, with the four 10 cm sensors at least 3 m apart and the 40 cm sensor directly below a 10 cm sensor. In June 2013 we upgrade 80 of the 10 cm sensors to Decagon 5TM soil moisture and temperature sensors. Sensors recorded volumetric soil moisture and soil temperature (where possible) hourly. Outliers and malfunctions have been flagged in both the soil moisture and temperature data.
DOI: 10.15468/xzo6as
title: Aves del Distrito de Manejo Integrado de Peñas Blancas, San Antonio del Tequendama, Cundinamarca

description: Esta lista se genera en el marco del convenio 023 de 2009, suscrito entre la Secretaria de Ambiente de la Gobernación de Cundinamarca y la Asociación Bogotana de Ornitología el cual tiene como objeto: "Diagnostico, inventario, estudio e investigación de la fauna, con énfasis en aves, en cinco reservas forestales del departamento de Cundinamarca. Convenio en el cual se desarrollaron salidas de campo con las cuales se obtuvo la información base de riqueza de especies. En el municipio de San Antonio del Tequendama se encuentra el Distrito de Manejo Integrado de Peñas Blancas, una de las reservas objeto del convenio. Por medio de la caracterización realizada con redes de niebla y recorridos de observación en la zona de estudio se lograron identificar 88 especies de aves de 24 familias taxonómicas, a lo largo de un gradiente altitudinal entre los 1800m y los 2200m, predominado por bosque altoandino de niebla y áreas destinadas a la producción agropecuaria de subsistencia.
DOI: 10.7910/dvn/29518
title: Replication data for: Assessing market potential of Agroforestry tree seedlings in Western Kenya

description: This dataset was moved to: https://doi.org/10.34725/DVN/29518In this study, Porter’s framework is used to analyse the forces that coordinate and control the market for agroforestry tree seedlings in the Nyando basin in Western Kenya where smallholder farmers were assisted by non-governmental and research organisations to start tree seedling nurseries, with a view to fostering adoption of agroforestry in the region. In addition, financial viability of the enterprise is assessed and the resources and interventions required to improve the operators’ competitiveness and make the enterprise sustainable are identified. Primary data collected from eight nursery operators and sixty agroforestry farmers are used and supplemented with secondary information obtained from relevant literature to gain an insight into the tree seedling industry within and outside the region. The results indicate that the tree seedling industry is highly competitive and is characterised by several small-scale operators who employ similar strategies and produce and sell nearly homogenous products. Consequently, competition is based on price rather than on strategies that require capital investments such as branding, product differentiation and product promotion. The enterprise is financially viable but the gross margins, particularly those of timber tree seedlings, are sensitive to low seedling prices suggesting that competitors are exerting pressure on prices and profitability. Thus, to gain an edge over the competitors, the small-scale operators need to build competitive advantage by adopting strategies that allow them to charge higher prices for their products, maintain customer brand loyalty and understand the coordination, control and relationships within the industry.
DOI: 10.7910/dvn/29876
title: Importance of National Policy and Local Interpretation in Designing Payment for Forest Environmental Services Scheme for the Ta Leng River Basin in Northeast Vietnam

description: This dataset was moved to: https://doi.org/10.34725/DVN/29876The Leng River basin in BacKan province, northwest Vietnam hosts critical natural resources where lessons learnt from the pilot project of payment for forest environmental services (PFES) in Lam Dong and Son La provinces can be applied. PFES is broadly defined as an economic instrument that facilitates payments of forest environmental service flows to forest dwellers. The passage of a national PFES Decree in Vietnam where the K-factor framework was used to determine the payment level of environmental services created both pportunities and challenges in the design and implementation of PFES schemes.This paper presents how the national PFES policy was adapted, and how lessons in the pilot provinces were considered in developing a local PFES scheme. Important considerations and criteria for determining K-factors to standardize payments forsimilar environmental services, as well as the proposed PFES scheme for the Leng River Basin are discussed. The paper concludes that national policy framework and local interpretation of K-factors are crucially important in designing a PFES scheme that meets the realistic and pro-poor elements of PES. Finally, a PFES scheme must have detailed implementing guidelines that are eveloped with local stakeholders.
DOI: 10.7910/dvn/29519
title: Scaling up agroforestry requires research ‘in’ rather than ‘for’ development

description: This dataset was moved to: https://doi.org/10.34725/DVN/29519Recent high-level policy papers call for scaling-up agroforestry to sustainably increase agricultural production and maintain environmental services. Evidence suggests that this will not be achieved by wide scale promotion of a few iconic agroforestry practices. Instead, three key issues need to be addressed. First, fine-scale variation in social, economic and ecological context and how this creates a need for local adaptation. Second, the importance of developing appropriate service delivery mechanisms, markets, and institutional contexts, as well as technologies. Third, appropriate research design, within the scaling process, that enables co-learning amongst research, development and private sector actors. This requires a new paradigm that builds on previous integrated systems approaches, but goes further, by embedding research centrally within development praxis.
DOI: 10.7910/dvn/5q4lat
title: Replication Data for: System wide impacts of fuel usage patterns in the Ethiopian highlands: Potentials for breaking the negative reinforcing feedback cycles

description: This dataset was moved to: https://doi.org/10.34725/DVN/5Q4LATDue to scarcity of firewood, farmers in rural Ethiopia are forced to use cattle dung as a complementary energy source. By looking at patterns of firewood and cattle dung use for energy generation and their implications for food crop production, forest regeneration and community level emission reduction potentials, this study explores system interactions using a community living next to the Menagesha Suba state forest in Ethiopia as a case study. Mixed methods were used including household surveys, nutrient content analyses of firewood and cattle dung, and calculations of fuel and emission reductions for four cooking energy efficiency scenarios. It was found that the community and surrounding environment is stuck in a negative feedback cycle. Therefore shifts in current practices and systems are needed to break this cycle, for example by enhancing firewood supply, improving soil fertility, improving energy efficiency and enabling access to carbon financing for emissions reduced.
DOI: 10.7910/dvn/e3xkjt
title: Replication Data for: A systematic analysis of enabling conditions for synergy between climate change mitigation and adaptation measures in developing countries

description: This dataset was moved to: https://doi.org/10.34725/DVN/E3XKJTThere is a growing quest for synergy between mitigation and adaptation due to concerns of inefficiency and ineffectiveness of the compartmentalized approaches to climate change. However, little has been done to explore the necessary enabling conditions for synergistic design and implementation. This paper proposes an analytical framework to assess enabling conditions for synergies at the national level and applies it to developing countries to explore the potential move toward synergy. Four enabling conditions for integrating adaptation and mitigation, i.e. policies and strategies, programs and projects, institutional arrangements and financial mechanisms, were used to score developing countries relative to each other. We hypothesized that low income and vulnerable countries might more likely pursue synergy given the urgency for both adaptation and mitigation. Despite the relative infancy of the synergy concept, about half of countries studied exhibited good synergy potential, 80% of which were middle-income developing countries. The assumption of vulnerability as a precursor for pursuing synergy was supported by the fact that small island states possessed relatively high synergy potential. Income was weakly associated with the synergy potential with least developed countries having low synergy scores. Emerging economies possessed strong synergy potential which might be associated with better capacity available and/or potential for shaping their global images due to their growing emissions. In sum, the proposed analytical framework could be useful to identify areas of emphasis to promote holistic and efficient climate policies. As this study largely focused on the enabling conditions, further studies are needed to scrutinize and manage the mitigation-adaptation balances in countries possessing good synergy potentials
DOI: 10.5066/f7j10161
title: Manassas Bluff Flora

description: This database includes groundflora (including shrubs) and tree data collected as part of a survey of cliff vegetation in Manassas National Battlefield Park, Virginia, USA during May and August of 2014. Cliffs were defined as expanses of exposed, mostly vertical bedrock and associated slopes with significant exposed rock and a slope angle exceeding approximately 45 degrees. "Bluffs" include stretches of spatially related cliffs and slopes; "Blocks" comprising bluffs are differentiated from each other by slope, aspect, geologic strata, or the amount of exposed bedrock.\r\n\r\nEnvironmental data for each block include slope (degrees), aspect, and the percent cover of rock, bare soil, moss and lichen, leaf litter, down dead wood, and root and bole of live woody stems, and whether or not blocks end in water or include a seep. Groundflora and shrubs were identified to species and their percent foliar cover (see table "Cover values") within each block was estimated. Trees with a diameter at breast height (DBH) greater than or equal to 10 cm were identified to species and DBH was measured to the nearest centimeter. Photos were taken at various points along each bluff. A full description of the methods used to collect data can be found in the USGS data series that accompanies this database (Stroh and other, 2015)\r\n\r\nThis database uses forms and reports to provide quick access to data about specific bluffs or blocks. Forms allow you to specify which bluff or block for which to retrieve data. Photos were assigned a name based on the bluff, block, and a number. These can be accessed via hyperlinks in the "Photos" table.\r\n\r\nStroh, E.D., Struckhoff, M.A., and Grabner, K.W., 2015, A floral survey of cliff habitats along Bull Run at Manassas National Battlefield Park, Virginia, 2014: U.S. Geological Survey Data Series 940, 20 p.,\r\nhttp://dx.doi.org/10.3133/ds940.
DOI: 10.5439/1178331
title: The ARM Best Estimate 2-dimensional Gridded Surface

description: The ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set merges together key surface measurements at the Southern Great Plains (SGP) sites and interpolates the data to a regular 2D grid to facilitate data application. Data from the original site locations can be found in the ARM Best Estimate Station-based Surface (ARMBESTNS) data set.
DOI: 10.7910/dvn/ytnej6
title: Western Amazon Household Baseline

description: This dataset was moved to: https://doi.org/10.34725/DVN/YTNEJ6This study consists of sex-disaggregated data and other related materials generated as part of the Sentinel Landscapes Network household survey baseline in Western Amazon sentinel site in Peru and Bolivia. A total of 677 households were surveyed in September to December 2014 and January to February 2015 from 30 villages namely: Fitzcarrald, San Bernardo, Las Mercedes, Victor Raul Haya Del La Torre, Los Cedros, Tahuantinsuyo, Monte Sinai, Los Manantiales, La Torre, Baltimore, Comunidad Nativa Sinchi Roca, Caserio Bajo Shiringal, Caserio Nuevo Huanuco, Caserio Nueva Bellavistal, Caserio Nuevo Ucayali, Centro Poblado San Juan Bautista, Caserio Alto Shiringal, Caserio Villa El Salvador, Caserio Nuevo Horizonte, Caserio Buenos Aires, Soberania, El Chorro, Espiritu, Petronila, Holanda, Ucia, Buyuyo, Limon, 10 De Noviembre, Empresina. The data consists of information on household demographics, migration, education, asset ownership, income sources, household food security, progress out of poverty, crop production and sales, livestock products, participation in credit markets, social networks, and natural resource use. In compliance with the CGIAR protocol on collecting sex-disaggregated data, approximately 50% of the respondents interviewed were women. Before downloading any of the files, particularly the data files, please download and read the ’Sentinel Landscapes Network Disclaimer and Terms of Use’ file.