cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15121/1150323
title: Validation of Innovative Exploration Technologies for Newberry Volcano: Raw Seismic Data

description: Validation of Innovative Exploration Technologies for Newberry Volcano: Seismic data - raw taken by Apex Hipoint for 1st test 2012 (data in .ff format)
DOI: 10.5439/1150268
title: ARM: ABLE: minisodar (mini - sound det. and ranging) wind profiles, 100-200 m, raw data

description: ABLE: minisodar (mini - sound det. and ranging) wind profiles, 100-200 m, raw data
DOI: 10.5439/1150281
title: ARM: W-Band Scanning ARM Cloud Radar (WSACR) Corner Reflector Raster Scan

description: W-Band Scanning ARM Cloud Radar (WSACR) Corner Reflector Raster Scan
DOI: 10.5439/1150299
title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) RHI Scan

description: X-Band Scanning ARM Cloud Radar (XSACR) RHI Scan
DOI: 10.15121/1150324
title: Validation of Innovative Exploration Technologies for Newberry Volcano: Raw Gravity Data

description: Validation of Innovative Exploration Technologies for Newberry Volcano: Raw data used to prepare the Gravity Report by Zonge 2012
DOI: 10.5439/1150244
title: ARM: Marine W-band (95 GHz) ARM Cloud Radar, filtered spectral data, co-polarized mode

description: Marine W-band (95 GHz) ARM Cloud Radar, filtered spectral data, co-polarized mode
DOI: 10.5439/1150245
title: ARM: Microwave Radiometer: High Frequency, calibration data for 150GHz channel

description: Microwave Radiometer: High Frequency, calibration data for 150GHz channel
DOI: 10.5439/1150246
title: ARM: Microwave Radiometer: High Frequency, calibration data for 90GHz channel

description: Microwave Radiometer: High Frequency, calibration data for 90GHz channel
DOI: 10.5439/1150257
title: ARM: Portable Radiation Package: Orientation Data

description: Portable Radiation Package: Orientation Data
DOI: 10.5439/1150259
title: ARM: RPH stabilized table control data

description: RPH stabilized table control data
DOI: 10.5439/1150262
title: ARM: Shortwave Array Spectroradiometer-Hemispheric, Near-InfraRed channel

description: Shortwave Array Spectroradiometer-Hemispheric, Near-InfraRed channel
DOI: 10.5439/1150267
title: ARM: ABLE: minisodar (mini - sound det. and ranging) wind profiles, 100-200 m, avg

description: ABLE: minisodar (mini - sound det. and ranging) wind profiles, 100-200 m, avg
DOI: 10.5439/1150279
title: ARM: W-Band Scanning ARM Cloud Radar (W-SACR) Boundary Layer RHI Scan

description: W-Band Scanning ARM Cloud Radar (W-SACR) Boundary Layer RHI Scan
DOI: 10.5439/1150282
title: ARM: W-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector RHI scan

description: W-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector RHI scan
DOI: 10.5439/1150284
title: ARM: W-Band Scanning ARM Cloud Radar (W-SACR) Hemispherical Sky RHI Scan

description: W-Band Scanning ARM Cloud Radar (W-SACR) Hemispherical Sky RHI Scan
DOI: 10.5439/1150289
title: ARM: W-Band Scanning ARM Cloud Radar, filtered spectral data, cross-polarized mode

description: W-Band Scanning ARM Cloud Radar, filtered spectral data, cross-polarized mode
DOI: 10.5439/1150300
title: ARM: X-Band Scanning ARM Cloud Radar (X-SACR) Solar Transversal Scan

description: X-Band Scanning ARM Cloud Radar (X-SACR) Solar Transversal Scan
DOI: 10.5439/1150304
title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI Scan

description: X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI Scan
DOI: 10.5439/1150306
title: ARM: X-SAPR Surveillance scan

description: X-SAPR Surveillance scan
DOI: 10.5439/1150255
title: ARM: Portable Radiation Package: Position and Heading Data

description: Portable Radiation Package: Position and Heading Data
DOI: 10.5439/1150256
title: ARM: Portable Radiation Package: Broadband Radiometers

description: Portable Radiation Package: Broadband Radiometers
DOI: 10.5439/1150258
title: ARM: Radiation measurements at AMF/Niamey, Niger/S1

description: Radiation measurements at AMF/Niamey, Niger/S1
DOI: 10.5439/1150260
title: ARM: RPH stabilized platform tilt

description: RPH stabilized platform tilt
DOI: 10.5439/1150261
title: ARM: Pixels from SASHe corresponding to MFR radiometer wavelengths

description: Pixels from SASHe corresponding to MFR radiometer wavelengths
DOI: 10.5439/1150266
title: ARM: Mini Sound Detection and Ranging (SODAR), spectral data

description: Mini Sound Detection and Ranging (SODAR), spectral data
DOI: 10.5439/1150269
title: ARM: Balloon-borne sounding system (BBSS): Vaisala winds, research press., temp, and RH

description: Balloon-borne sounding system (BBSS): Vaisala winds, research press., temp, and RH
DOI: 10.5439/1150273
title: ARM: S-WACR Boundary-layer Range-Height Indicator scan

description: S-WACR Boundary-layer Range-Height Indicator scan
DOI: 10.5439/1150278
title: ARM: W-Band Scanning ARM Cloud Radar (W-SACR) Along-Wind RHI Scan

description: W-Band Scanning ARM Cloud Radar (W-SACR) Along-Wind RHI Scan
DOI: 10.5439/1150283
title: ARM: W-Band Scanning ARM Cloud Radar (W-SACR) Cross-Wind RHI Scan

description: W-Band Scanning ARM Cloud Radar (W-SACR) Cross-Wind RHI Scan
DOI: 10.5439/1150285
title: ARM: W-Band Scanning ARM Cloud Radar (W-SACR) PPI Scan

description: W-Band Scanning ARM Cloud Radar (W-SACR) PPI Scan
DOI: 10.5439/1150286
title: ARM: W-Band Scanning ARM Cloud Radar (W-SACR) RHI Scans, which can vary in elevation range and azimuth

description: W-Band Scanning ARM Cloud Radar (W-SACR) RHI Scans, which can vary in elevation range and azimuth
DOI: 10.5439/1150287
title: ARM: W-Band Scanning ARM Cloud Radar (W-SACR) Solar Transversal Scan

description: W-Band Scanning ARM Cloud Radar (W-SACR) Solar Transversal Scan
DOI: 10.5439/1150288
title: ARM: W-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode

description: W-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode
DOI: 10.5439/1150290
title: ARM: W-Band Scanning ARM Cloud Radar (W-SACR) Vertically Pointing Scan

description: W-Band Scanning ARM Cloud Radar (W-SACR) Vertically Pointing Scan
DOI: 10.5439/1150292
title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Along-Wind RHI Scan

description: X-Band Scanning ARM Cloud Radar (XSACR) Along-Wind RHI Scan
DOI: 10.5439/1150295
title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Corner Reflector Raster Scan

description: X-Band Scanning ARM Cloud Radar (XSACR) Corner Reflector Raster Scan
DOI: 10.5439/1150296
title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Cross-Wind RHI Scan

description: X-Band Scanning ARM Cloud Radar (XSACR) Cross-Wind RHI Scan
DOI: 10.5439/1150301
title: ARM: X-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode

description: X-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode
DOI: 10.5439/1150302
title: ARM: X-Band Scanning ARM Cloud Radar, filtered spectral data, cross-polarized mode

description: X-Band Scanning ARM Cloud Radar, filtered spectral data, cross-polarized mode
DOI: 10.5439/1150305
title: ARM: X-SAPR Range Height Indicator scan

description: X-SAPR Range Height Indicator scan
DOI: 10.15121/1150321
title: Validation of Innovative Exploration Technologies for Newberry Volcano: Geochemistry Data from Wells 55-29 and 46-16

description: Validation of Innovative Exploration Technologies for Newberry Volcano: DOE Geochemistry data from deep wells 55-29 and 46-16 at Newberry 2012
DOI: 10.15121/1150322
title: Validation of Innovative Exploration Technologies for Newberry Volcano: LiDAR of Newberry Volcano

description: Validation of Innovative Exploration Technologies for Newberry Volcano: LiDAR of Newberry Volcano 2012
DOI: 10.5439/1150243
title: ARM: Auxiliary data for the Marine W-band (95 GHz) ARM Cloud Radar

description: Auxiliary data for the Marine W-band (95 GHz) ARM Cloud Radar
DOI: 10.5439/1150248
title: ARM: Ship navigational location and attitude: Position and Heading Data

description: Ship navigational location and attitude: Position and Heading Data
DOI: 10.5439/1150254
title: ARM: Portable Radiation Package: Fast Rotating Shadowband Radiometer

description: Portable Radiation Package: Fast Rotating Shadowband Radiometer
DOI: 10.5439/1150270
title: ARM: Balloon-borne sounding system (BBSS): research winds, Vaisala press., temp, and RH

description: Balloon-borne sounding system (BBSS): research winds, Vaisala press., temp, and RH
DOI: 10.5439/1150274
title: ARM: Soil Water and Temperature Profiling System (SWATS): soil temp and water profiles

description: Soil Water and Temperature Profiling System (SWATS): soil temp and water profiles
DOI: 10.5439/1150276
title: ARM: Auxiliary data for the Total Precipitation Sensor

description: Auxiliary data for the Total Precipitation Sensor
DOI: 10.5439/1150280
title: ARM: W-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector Calibration

description: W-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector Calibration
DOI: 10.5439/1150293
title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Boundary Layer RHI Scan

description: X-Band Scanning ARM Cloud Radar (XSACR) Boundary Layer RHI Scan
DOI: 10.5439/1150297
title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Hemispherical Sky RHI Scan

description: X-Band Scanning ARM Cloud Radar (XSACR) Hemispherical Sky RHI Scan
DOI: 10.5439/1150298
title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) PPI Scan

description: X-Band Scanning ARM Cloud Radar (XSACR) PPI Scan
DOI: 10.5063/f1t43r0h
title: freshwater Biology 2014

description: All data for Paper in Freshwater Biology by Hammill, Atwood, Corvalan and Srivastava
DOI: 10.7910/dvn/27183
title: Replication data for: Alemagi et al 2014 Intensification of Cocoa Agroforetry systems as REDD Strategy in Cameroon -IJAS

description: This dataset was moved to: https://doi.org/10.34725/DVN/27183Tree planting and the use of inputs within cocoa agroforestry systems are key intensification pathways for enhancing the contribution of these systems to REDD+. However, scholarship on the hurdles, motivations, and challenges pertaining to intensification of these systems remains surprisingly scanty. A questionnaire addressing these knowledge gaps was administered to 461 cocoa farmers randomly selected from 10 communities in the South Region of Cameroon. The lack of technical support was identified as one of the main obstacles to tree planting and the use of inputs. The least motivating factor behind tree planting and the use of inputs was inadequate technical assistance. Limited access to credit facilities was observed as of the most important challenges to tree planting and the use of inputs. Addressing the various hurdles and challenges and promoting the least motivation factor through proper incentive mechanisms could advance REDD+ since intensification pathways within these systems increase agricultural productivity thereby enabling farmers to stay on the same land. This results in less forest being cleared and allows for the recovery of forests degraded for the creation of these systems. In closing, we proffer incentive mechanisms for promoting intensification pathways within these cocoa agroforestry systems.
DOI: 10.7910/dvn/27185
title: Replication data for: Alemagi et al 2014 REDD+ readiness process in Cameroon: an analysis of multi-stakeholder perspectives

description: This dataset was moved to: https://doi.org/10.34725/DVN/27185Cameroon has been a keen participant in Reducing Emissions from Deforestation and Forest Degradation plus conservation, sustainable management of forests and enhancement of carbon stocks (REDD+) negotiations since 2005 and has engaged in activities to enhance the implementation of REDD+. This article reviews progress on REDD+ readiness in Cameroon based on a multiple REDD+ functions framework. Results show that some progress has been made in terms of planning and coordination, institutional development, and the development of some REDD+ projects. Absence of a legal framework, inadequate procedures for stakeholder participation, slow progress in the development of a national strategy, monitoring, reporting, and verification (MRV) challenges, and weak financing remain prominent constraints. Despite having one of the slowest REDD Readiness Preparation Pro posal (R-PP) processes in the Congo Basin, stakeholders feel strong ownership because the R-PP was done almost entirely by Cameroonian experts. Some opportunities for improving REDD+ can be considered going forward, including the establishment of procedures for a broader participatory process, speeding up the operationalization of the National Observatory on Climate Change, making use of the ongoing forestry law reform, consideration of a carbon concessions concept, tapping from international initiatives to build on MRV, and improving benefit sharing and financing through the development of an appropriate and decentralized mechanism. Enhancing these opportunities is fundamental for successful REDD+ implementation in Cameroon. Policy relevance This article offers a new multidimensional approach to assessing the REDD+ readiness process in Cameroon. This critical assessment, which is done using six key functions, provides an opportunity for enhanced understanding of the process by policy makers, decision makers, and professionals with a view to enabling improvements in the readiness process. Furthermore, the article proffers a series of opportunities that the government and other relevant stakeholders can capitalize on to overcome current hurdles affecting the REDD+ readiness process. It is hoped that policy makers driving the REDD+ process in Cameroon will be able to incorporate the findings of this research into their strategic policy, formulated to advance the REDD+ readiness process. More importantly, it is hoped that the multidimensional framework applied in this study could be useful for assessing REDD+ in similar contexts in the Congo Basin.
DOI: 10.5063/f1pc3085
title: Long-term tree demography in old-growth forests of Huron Mts, MI from permanent-plot censuses, 1962-2009

description: Data set is repeated censuses of trees on nineteen 0.2-acre circular permanent plots in old-growth hemlock-northern hardwood forests in the Huron Mts. in northern Marquette Co., MI. Plots are located within a large private reserve, including about 4000 ha of never-logged, old-growth forest. Plots were first censused in 1962 and recensused in 1967 by Eric Bourdo (Michigan Technological University), with additional full censuses in 1989, 1994, 1999, 2004, 2009 by Kerry D. Woods (Bennington College). Stems measured in 1962-1967 were labelled and, beginning in 1989, all stems were mapped, allowing tracking of individual stems throughout the entire study period. 1962-1967 measurements included all stems greater than 5 in/12.7 cm diameter at breast height (dbh); from 1989 onward, stems &gt; 5 cm dbh were mapped over entire plots, and stems &gt; 1 cm dbh (tree species only) within a circular central sub-plot 8 m in diameter. This project was supported by the Huron Mountain Wildlife Foundation, the Andrew Mellon Foundation, and the National Science Foundation
DOI: 10.5063/f1dz067f
title: Input data for: Patterns and variability of projected bioclimate habitat for Pinus albicaulis in the Greater Yellowstone Area

description: Field observations of P. albicaulis adult (DBH&gt;20cm) presences and absences within the Greater Yellowstone Area compiled from three data sources. 2,545 observations from the Forest Inventory and Analysis (FIA) program were assembled. FIA plots are located on a regular gridded sampling design with one plot at approximately every 2,500 forested hectares, with swapped and fuzzed exact plot locations within 1.6 km to protect privacy. To provide the most spatial accuracy, this study culled FIA field points where measured elevation were &gt;300 m different from a 30 m USGS DEM. Supplementary points were drawn from the Whitebark/Limber Pine Information System (WLIS), and long-term monitoring plots established by the National Park Service Greater Yellowstone Inventory and Monitoring Network (GYRN). The presences in these two additional datasets were co-located within predictor pixels of FIA absence to correct for false absences. In doing so, only one P.albicaulis presence or absence record was associated per predictor pixel, thereby avoiding issues associated with sampling bias that are common when building bioclimate niche models with data from targeted surveys, for a total of 938 presences and 1,633 absences. Dataset also includes merged 30 year climate normals from 1950-1980. Variables listed include minimum temperature (tmin - oC), maximum temperature (tmax - oC), precipitation (ppt - mm), actual evapotranspiration (aet - mm), potential evapotranspiration (pet - mm), snow water equivalent (pack -mm), soil moisture (soilm - mm), vapor pressure deficit (vpd - Pa).
DOI: 10.5440/1163347
title: Continuous Snow Depth, Intensive Site 1, Barrow, Alaska

description: Continuous Snow depth data are being collected at several points within four intensive study areas in Barrow. These data assist in the calculation of the energy balance at the land surface and are also useful as inputs into modeling activities. Dataset DOI: 10.5440/1163347; https://doi.org/10.5440/1163347 Measurements at AREA A (all heights listed are relative to the land surface): Location of the Site A station: N71* 16.888', W156* 36.647' * Snow Depth @ Polygon Margin [585558.23E 7910483.01N] UTM Zone 4 * Snow Depth @ Polygon Trough [585560.17E 7910486.55N] UTM Zone 4 Site A is located on polygonal permafrost and co-located with micromet surface measurements and subsurface measurements. Measurements at AREA B (all heights listed are relative to the land surface): Location of the Site B station: N71* 16.785', W156* 36.211' * Snow Depth @ Polygon Center [585825.60E 7910303.16N] UTM Zone 4 * Snow Depth @ Polygon Trough [585829.02E 7910307.70N] UTM Zone 4 Site B is located on polygonal permafrost and co-located with micromet surface measurements and subsurface measurements. Measurements at AREA C (all heights listed are relative to the land surface): Location of the Site C station: N71* 16.804', W156* 36.072' * Snow Depth @ Polygon Center [585905.37E 7910343.70N] UTM Zone 4 * Snow Depth @ Polygon Trough [585904.55E 7910333.93N] UTM Zone 4 * Snow Depth @ Polygon Rim [585910.19E 7910337.94N] UTM Zone 4 Site C is located on polygonal permafrost and co-located with micromet surface measurements and subsurface measurements Measurements at AREA D (all heights listed are relative to the land surface): Location of the Site D station: N71* 16.927', W156* 36.036' No measurement for 2012-2013. Site D is located on polygonal permafrost and co-located with micromet surface measurements and subsurface measurements. Data are in ASCII files, with columns separated by commas: ','
DOI: 10.14457/cu.the.2009.88
title: การควบคุมการแสดงออกของยีนตัวขนส่งโดพามีนโดยกลไกระดับเหนือพันธุกรรมและพันธุกรรม
DOI: 10.7910/dvn/27800
title: Return on Investment of RWH technologies in dryland areas of Eastern region of Kenya

description: This dataset was moved to: https://doi.org/10.34725/DVN/27800The research study evaluated the effectiveness of rainwater harvesting technologies in Eastern Kenya through identifying conditions under which these technologies provide economic opportunities for smallholder farmers in the dryland areas of Eastern Kenya. Key variables in the study were: RWH technologies being used; Household sources of income; educational background of household members. Data collection was done through household survey questionnaires. The overall goal of this research was to improve the on distribution of rainwater harvesting technologies, and to increase the amount of financing going to rainwater harvesting from banks, micro finance institutions, non-profit organizations, and government agencies.
DOI: 10.7910/dvn/27888
title: Fostering collective action at landscape level: Success factors of smallholder innovation platforms in the Eastern Highlands of Kenya and Uganda

description: This dataset was moved to: https://doi.org/10.34725/DVN/27888Strong and vibrant smallholder groups provide opportunities to the community to play a role in rural development and benefit from it. However, most of those groups do not have the capacity to individually influence rural development. Bringing groups together facilitates access to combined knowledge and leverages complementary assets. This study identifies factors influencing the success of two smallholder innovation platforms in Embu and Kapchorwa. A five-level likert scale survey questionnaire was administered to 68 groups from the two platforms that had experienced significant development in their group's capacity as a result of these platforms. Principal component analysis was used to extract indicators defining dimensions used to measure the success of these platforms. Multiple regression analysis was used to fit the model of successful linkages. The results indicate that ownership, motivation and leaders commitment skills and motives play critical roles in the success and sustainability of smallholder innovation platforms
DOI: 10.7910/dvn/27592
title: Maturity Assessment Validation Survey Data

description: This dataset was moved to: https://doi.org/10.34725/DVN/27592Validation survey conducted to evaluate the advancement processes of smallholder farmer groups in the six sites of the Strengthening Rural Institutions (SRI) project; Embu, Bungoma, Kapchorwa, Masindi, Pemba, and Lushoto.
DOI: 10.7910/dvn/28239
title: Replication data for: Would strictly enforced forestry regulations affect farmers’ stated intentions to plant indigenous fruits trees? Insights from Cameroon

description: This dataset was moved to: https://doi.org/10.34725/DVN/28239From theory it is expected that forestry laws and regulations affect the adoption of agroforestry technologies, such as planting of indigenous fruit trees. These trees are important sources of nutrients and income to thousands of farmers. However data on farmers’ perceptions and behaviour towards such policy instruments are scarce and contradictory. Based on data collected from 394 households in Cameroon, using a structured questionnaire, farmers’ awareness, perception and willingness to accept policy instruments governing on-farm trees were assessed. The study further investigated whether the policy instruments would affect their intentions to plant selected indigenous fruit trees on their farms. The analysis found that a majority of farmers are unaware of the laws governing access and trade in indigenous fruit tree species. Furthermore, even if strictly applied, a significant majority of farmers (60%) would not be discouraged by the regulations, from planting trees on their farms because it constitutes part of their traditional farming practices. Yet, the authors argue that planting of indigenous fruit tree species could increase under simplified rules, as 40% of the farmers do claim they would refus e to plant such trees if existing regulations are strictly enforced. The study therefore concludes that there is a need for new policies to attract more farmers to integrate indigenous fruit trees on their farms. Given the current trend to encourage on-farm tree planting to address food security and climate change issues, this is especially relevant.