cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15139/s3/11920
title: National Longitudinal Study of Adolescent to Adult Health (Add Health) Wave IV, 2008

description: The National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32*. Add Health combines longitudinal survey data on respondents’ social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. Wave IV Wave IV was designed to study the developmental and health trajectories across the life course of adolescence into young adulthood. Taking place in 2008, approximately 92.5% of the original Wave I respondents were located and 80.3% of eligible cases were interviewed. The Wave IV public use file contains data on 5,114 respondents, aged 24 to 32*. In Wave IV, biological data was also gathered in an attempt to acquire a greater understanding of predisease pathway s, with a specific focus on obesity, stress, and health risk behavior. The Wave IV public use dataset includes the following data files: Wave IV In-home Interview File: variables from the in-home interview, including anthropometric measures Relationship Data Pregnancy Table File Live Births File Children and Parenting File Wave IV Weights Wave IV Public Use Biomarkers, Glucose Data Wave IV Public Use Biomarkers, Measures of EBV and hsCRP Wave IV Public Use Biomarkers, Lipids Data *17 respondents in the Wave IV public use sample were 33 years old at the time of the interview.
DOI: 10.7910/dvn/9zmzwr
title: Land and Soil Health Assessment in the Western Africa Sentinel Landscape

description: This dataset was moved to: https://doi.org/10.34725/DVN/9ZMZWRThe LDSF was carried out at two-100 km2 sites within the West Africa Sentinel Landscape: Cassou and Koungoussi in Burkina Faso. Field teams were trained by Jerome Tondoh. Field surveys were completed in March 2014. The LDSF is a spatially stratified, randomized sampling design, developed to provide a biophysical baseline at landscape level and a monitoring and evaluation framework for assessing processes of land degradation and effectiveness of rehabilitation measures over time. Measured variables include: land cover, tree and shrub densities, tree biodiversity, erosion prevalence, infiltration capacity, along with an assessment of impact to habitat and occurrence of soil conservation structures. Soil samples were also collected (320 top (0-20 cm) and sub (20-50 cm) soil samples per site) and were processed in Burkina Faso. Processed samples were shipped to Nairobi and subjected to infrared spectroscopy and wet chemistry analysis. These combined data sets will be used to assess soil and ecosystem health for the landscape in more detail.
DOI: 10.7910/dvn/almpxj
title: Borneo - Sumatra Household Baseline

description: This dataset was moved to: https://doi.org/10.34725/DVN/ALMPXJThis study consists of sex-disaggregated data and other related materials generated as part of the Sentinel Landscapes Network household survey baseline in Borneo-Sumatra sentinel site in Indonesia. A total of 1039 households were surveyed between August and December 2014 from 40 villages namely: Keluin, Rumah Betang Sei Sedik, Sawah, Sembawang, Entebuluh, Kelawik , Sungai Luar, Sungai Long, Libung, Sungai Iring, Tanjung Beringin, Tanjung Putus, Baru Kibul, Rantau Ngaro, Muaro Langeh, Nalo Gedang, Baru Nalo, Pulau Layang, Durian Lencah, Tiangko, Butang Baru, Sungai Butang, Guruh Baru, Meranti Baru, Jati Baru, Petiduran Baru, Taman Dewa, Mandiangin, Lamban Sigatal, Sepintun, Bangan Permai , Semedang, Mentebah Kiri 2, Menarin, Sei Putih, Padang Jaya, Emotong, Akung Jaya, Sei Jambu, Sei Tekuyung. 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’.
DOI: 10.7910/dvn/aqdwrf
title: Mekong Household Baseline

description: This dataset was moved to: https://doi.org/10.34725/DVN/AQDWRFThis study consists of sex-disaggregated data and other related materials generated as part of the Sentinel Landscapes Network household survey baseline in Mekong sentinel site in China, Thailand and Laos. A total of 1982 households were surveyed between October to November 2014, January 2015 and January to March 2016 from 60 villages namely: MengLuo, ZhuShiHe, Lantianxiazhai & Dahuangba, DingJiaZhai, YangJiaZhai, DaBa, Mengyeba & Chahe, ManSa, Dazhai & Xiaofang, LanTianShangZhai, DingJiaShangZhai, PaXiHe, ZhangJiaWan, JiuMiao, XinZhai, Manda, Manfa, Mangajian, Mankong, Manlao, Manleidai, ManLeine, Manlongdong, Manluanga, Manna, Mansaojing, Mantang, Manyingdai , Manyingne, Manyuan, Ban Hok, Ban Krueng Tai, Ban Kwak Nuea, Ban Lo, Ban Luang, Ban Muangchoom, Ban Nern Somboon, Ban San, Ban Sri Mongkol, Ban Srivilai, Ban Tha Chareon, Ban Thakham, Ban Tong, Ban Tonplong, Ban Yai Nuea, Sienglea, Phiahuanam, Phonsa At, Napa, Namet, Thamun, Pangthong, Huaylor, Nangoua, Mang, Namtouy, Yor, Lai Gnai, Muanghom, Nalai. 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.
DOI: 10.7910/dvn/fdr8xd
title: West Africa Village level Baseline

description: This dataset was moved to: https://doi.org/10.34725/DVN/FDR8XDThis study consists of village level baseline data and other related materials generated as part of the ‘Sentinel Landscapes’ initiative. The village level baseline data was collected using four survey protocols designed by the International Forest Resources and Institutions (IFRI). The data collected is used to understand the relationship between communities, local governance and forests. Four IFRI protocols were used for this purpose: (i) Forest Form (ii) Settlement Form (iii) Association Form and (iv) Product Form. The instruments facilitate the collection of political and institutional data at communal level for those communities that use those forests. A total of 46 villages were surveyed between October to December 2013 and march to May 2014 namely: Sakou, Nongsom, Temnaoré, Bogoname, Loaga, Badinogo2, Rambo Watinooma, Bam, Sam, Kouka, Dao, Diao, Gao, Kassolo, Cassou, Bongnounou, Pro, Tiabona, Yinga, Vrassan, Kou, Lerou, Lon, Lué, Pani, Passin, Mao-Nassira, Tékourou, Bechembelle(Bichenboi), Bugubelle, Funsi, Gbele, Hellebe(Halemboi), Jijen, Kojokpere, Kuroboi, Sakai, Welembelle, Dasima, Duang, Jolinyiri , Kulfuo, Nmanduanu, Sentie, Tarsaw, Vamboi.
DOI: 10.7910/dvn/xwbwjg
title: Tree planting by smallholder farmers in Malawi: Using the theory of planned behaviour to examine the relationship between attitudes and behaviour

description: This dataset was moved to: https://doi.org/10.34725/DVN/XWBWJGThis study examined farmers' attitudes towards tree planting on farms in Malawi, using the theory of planned behaviour as a conceptual framework. Questionnaires containing a scale that measures attitudes, subjective norms, and perceived behavioural control in relation to tree planting were administered to 200 farmers in Chiradzulu and Mzimba districts in Malawi. Farmers who reported planting trees in the last five years had more positive attitudes, subjective norms and perceived behavioural control compared to farmers who have not planted trees. A hierarchical logistic regression analysis showed that membership of a farmer group and attitudes had a significant positive influence on reported behaviour. Nevertheless, many farmers considered household needs such as buying food and agricultural inputs, as well as children's education, as more urgent than investing their scarce resources in tree planting, suggesting that poverty is a barrier to tree planting.
DOI: 10.5063/f12f7kc5
title: Kenya Long-term Exclosure Experiment

description: Over 70% of the land area of Africa is arid or semi-arid. Rapidly growing populations and ongoing economic development are putting tremendous pressures on these lands (Bernard et al. 1989). These pressures can result in local, regional, and global problems, including soil erosion, threats to endangered species such as elephants and rhinos, and desertification, with its potential effects on global warming. In response to these serious problems, the Government of Kenya (through the National Museums and the Kenya Wildlife Service) is collaborating with the Smithsonian Institution and Princeton University to establish a research and training center for arid ecosystem studies. This center is located on Mpala ranch, a 45,000 acre property in the center of the Laikipia Plateau in Kenya. The goal of this center is to provide the information, expertise, and training that will allow Kenya (and other nations in the region) to wisely manage, develop, and conserve their arid land resources. For virtually all indigenous animal species in Kenya, there are more individuals outside protected areas than inside them, mostly on arid and semi-arid lands. The future of these populations will depend on the interaction between enlightened rangeland management and wildlife needs. There is growing evidence that many wildlife species are not incompatible with intensive livestock production, and can even be beneficial. Also, wildlife can provide much needed additional revenue in the form of tourism or game ranching. A mixed strategy of wildlife and cattle may be optimal, both for economic return and for the maintenance of biodiversity. There is considerable literature on the effects of various cattle grazing and burning strategies on range quality in Africa, and on the effects of indigenous herbivores on the vegetation of protected areas. However, almost little is known about the interactions among wildlife, domestic stock, and vegetation, and there have been no controlled experimental studies of the separate and combined effects of wild and domestic herbivores on vegetation and on each other. This information is vital if we are to make informed decisions about the future of wildlife on the vast unprotected grazing lands of Africa. We are engaged in a long-term experimental study of these interactions at the Mpala Research Centre in Laikipia, a working cattle ranch and an area rich in wildlife. For example, the Laikipia ecosystem has the second largest population of elephants in Kenya; as many as 900 elephants periodically occur on Mpala. There are also at least twenty additional species of large indigenous mammals.
DOI: 10.7910/dvn/mn9nrd
title: Western Ghats Village Level Baseline

description: This dataset was moved to: https://doi.org/10.34725/DVN/MN9NRDThis study consists of village level baseline data and other related materials generated as part of the ‘Sentinel Landscapes’ initiative. The village level baseline data was collected using four survey protocols designed by the International Forest Resources and Institutions (IFRI). The data collected is used to understand the relationship between communities, local governance and forests. Four IFRI protocols were used for this purpose: (i) Forest Form (ii) Settlement Form (iii) Association Form and (iv) Product Form. The instruments facilitate the collection of political and institutional data at communal level for those communities that use those forests. A total of 62 villages were surveyed between July & September 2014 and April - July 2015 namely: Bellatha, Buthani, Dasanahundi, Hondarabalu, K.Devarahalli, Kuntugudi, Malladevanahallu, Shanivaramunti, Vodagere, Yerakanagadde Colony, Avandur, Benguru, Bettageri Bakka, Bettathur, Kaloor, Kolagadalu Paka, Kopatti, Kuranabane, Kuyyangeri, Vanachala, Glenmorgan, Thottalingi, Thakkal, Kovilpatti, Kurumbarpalayam, Kurumbarpadi, Moolakadu, Kozhikolli, Kodamula, Kadachanakolli, Theppakadu, Kamrajnagar, Kurunjinagar, Ellamalai, Puthurvayal, Ponkuzhi , Manmadhamoola, Athikkuny , Cherumoola, Alathoor , Kallumukku, Melemoola , Kuzhimoola, Rampalli , Veluthondi, Marukara , Kavumkarakunnu, Chappakolly, Karuvattimoola, Pallivayal, Kottanottu, Karissery , Choorikuni, Kumbarankolli, Kozhimoola, Pambaramoola, Chettiyalathoor, Odappalam , Valluvady , Anappandhi, Anappandhi2, Chettipampra
DOI: 10.5066/f79p2zq2
title: Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North AmericaData

description: This data is a compilation of fishery monitoring data collected by state agencies over several decades in tailwaters downriver of dams in Colorado, Utah, Montana, Wyoming, Idaho, New Mexico, Arizona, California, and Oregon. Specifically, the data contained herein is summary data used in four generalized linear mixed models that were developed to assess the biological and hydrologic factors that influence rainbow and brown trout recruitment and adult size in tailwaters across the western United States.
DOI: 10.14457/cu.the.2007.153
title: เศรษฐศาสตร์ว่าด้วยความสุข กรณีศึกษาประชาชนในพื้นที่กรุงเทพมหานคร /

description: วิทยานิพนธ์ฉบับนี้มีจุดประสงค์ศึกษาแนวคิดเศรษฐศาสตร์ว่าด้วยความสุข และศึกษาปัจจัยที่มีผลต่อความสุข ในทรรศนะของกลุ่มตัวอย่างในกรุงเทพมหานคร เครื่องมือที่ใช้ในการศึกษาคือการสังเคราะห์วรรณกรรมปริทัศน์ พร้อมอาศัยแบบจำลอง Ordered Logit ในการวิเคราะห์ปัจจั
DOI: 10.7910/dvn/1a22eh
title: Replication Data for: Determinants of wide adoption of sustainable land management technologies on the slopes of Mt. Elgon

description: This dataset was moved to: https://doi.org/10.34725/DVN/1A22EHThis was a study conducted by an MSC student whose objective was to identify the determinants of wide adoption of SLM technologies. The study used a structured questionnaire and focus group discussions for data collection in three districts in the highlands of eastern Uganda, with a total 180 respondents the main determinants were age and education of household heads, extension services, land size, land ownership and communication path ways.
DOI: 10.7910/dvn/xtgrrl
title: Baseline and end line data for the SSACP

description: This dataset was moved to: https://doi.org/10.34725/DVN/XTGRRLThe main output of the SSA CP was the implementation of Integrated Agricultural Research for Development (IAR4D) and assessing whether it works or not. This involved conducting research study to identify the effects of the IAR4D approach and its different components in designing and implementing research targeted at the interface of processes driving productivity gains, efficient use of resources, the care of the environment, policies and markets that would increase demonstrably the delivery of the benefits to end users and have an impact and do so in a scientific, statistically-based manner. IAR4D is an action research approach for investigating and facilitating the organization of groups of stakeholders (including researchers) to innovate more effectively in response to changing complex agricultural and natural resources management contexts, in order to achieve developmental outcomes. At the core of this organization is the establishment of innovation platforms . The objective of this was to characterize the various villages in order to be able to compare them with each other and conduct Baseline at village level on those aspects that we think might change under influence of the IAR4D activities in order to be able to compare the situation before and after the project. This was conducted in three countries, Uganda, Rwanda and Democratic Republic of Congo.
DOI: 10.5066/f7sn0706
title: Water Quality in the Yukon River Basin, Alaska and Canada, Water Years 2009-2013

description: This is the second water-quality data series resulting from the ongoing partnership between the Yukon River Inter-Tribal Watershed Council (YRITWC) and the U.S. Geological Survey (USGS). The first data series (2006-2008) can be found at http://pubs.er.usgs.gov/publication/ofr20101241. The Yukon River Basin (YRB) is the fourth largest drainage basin in North America (855,000 km2, roughly twice the size of California). (More detailed descriptions can be found in Schuster and others, 2010 and Brabets and others, 2000.) To better understand the effects of climate change on the water quality of the Yukon River and its major tributaries, the USGS and the YRITWC developed a water-quality monitoring program with a vision to create a long-term database. This report contains water-quality data from samples collected in the Yukon River Basin during water years (WY) 2009 through 2013. A broad range of chemical analyses from 61 locations throughout the YRB are available here.
DOI: 10.7910/dvn/kjx1ld
title: Replication Data for: The Role of Rural organizations in the promotion of sustainable land management in Uganda. A case of Masindi district.

description: This dataset was moved to: https://doi.org/10.34725/DVN/KJX1LDThe study aimed at assessing the role of farmer associations in enhancing the adoption of sustainable land management practices in two districts of Uganda. The study employed purposive sampling procedure of the key informants and a combination of cluster and systematic random sampling of the representatives of the farming households with membership to a farmer group/association. Data was collected through key informant interviews, focus group discussions, document review, and face to face structured interviews using semi-structured questionnaires. Descriptive statistics of the respondents’ demographic characteristics, classification of the farmer associations, and of the adopted sustainable land management technologies is presented. Logistic binary regression was used to assess the determinants and predict the adoption of sustainable land management by the farming households. With respect to gender disparities, there was less female participation in land management. This was attributed to the lack of control by the females of key production inputs necessary for production like land, and to the heavy domestic workload that women bear that makes it difficult for them to attend group activities. Agricultural production and subsequent produce marketing was the major service offered by the farmer associations in both districts. These farmer groups facilitate collective marketing of agricultural produce and this has helped reduce transaction costs related to inputs marketing and small marketable surplus emanating from a large number of the usually widely dispersed producers. Farmer groups in Masindi district impose high registration and subscription fees which frustrating their performance. Farm size, membership/subscription fees, and household size, were the major established determinants of farmer participation in the farmer groups.
DOI: 10.14457/cu.the.2009.181
title: เรื่องเล่าความเจ็บป่วย : การนำเสนอตัวตนของผู้ป่วยในสังคมหลังสมัยใหม่
DOI: 10.7910/dvn/xzynxq
title: Quick Survey - Kenya

description: This dataset was moved to: https://doi.org/10.34725/DVN/XZYNXQData that was collected for the LegumeCHOICE Transect Walk
DOI: 10.7910/dvn/d5zpwm
title: Farm Characterization Survey - Kenya

description: This dataset was moved to: https://doi.org/10.34725/DVN/D5ZPWMThis is data collected for the Farm Characterization Survey done in Kenya.
DOI: 10.5066/f7j67f0p
title: Riparian vegetation, Colorado River, and climate: five decades of spatio-temporal dynamics in the Grand Canyon with river regulation

description: These data include image-based classifications of total vegetation from 1965, 1973, 1984, 1992, 2002, 2004, 2005, and 2009, and characteristics of the river channel along the riparian area of the Colorado River between Glen Canyon Dam and Lake Mead Reservoir. Also, these polygon data represent the area inundated by the Colorado River in the aerial imagery from overflight of the Grand Canyon in May, 2002. The imagery were acquired at approximate steady discharge of 226 m3s. These data are associated with the journal manuscript: Sankey, J.B., Ralston, B., Grams, P.E., Schmidt, J.C., and Cagney, L.E., 2015, Riparian vegetation, Colorado River, and climate: five decades of spatiotemporal dynamics in the Grand Canyon with river regulation: Journal of Geophysical Research, v. (online), doi: 10.1002/2015JG002991, https://doi.org/10.1002/2015JG002991.
DOI: 10.5281/zenodo.3874183
title: fMRI data for Porter et al 2005

description: fMRI data for Porter J, Anand T, Johnson B, Khan RM, Sobel N. Brain mechanisms for extracting spatial information from smell. <em>Neuron</em>. 2005;47(4):581‐592. doi:10.1016/j.neuron.2005.06.028
DOI: 10.5281/zenodo.3874182
title: fMRI data for Porter et al 2005

description: fMRI data for Porter J, Anand T, Johnson B, Khan RM, Sobel N. Brain mechanisms for extracting spatial information from smell. <em>Neuron</em>. 2005;47(4):581‐592. doi:10.1016/j.neuron.2005.06.028
DOI: 10.5258/soton/d1450
title: Dataset for An investigation on a supercritical aerofoil with a wavy leading edge in a transonic flow

description: Dataset for: Degregori, E. and Kim, J.W. An investigation on a supercritical aerofoil with a wavy leading edge in a transonic flow. Physics of Fluids