cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34725/dvn/25248
title: Replication data for: Generic lures attract cerambycid beetles in a tropical montane rain forest in southern China

description: The attraction of cerambycid beetles to 10 known cerambycid pheromones was tested in a tropical montane rain forest in southern China. From 28 May to 25 June 2010, 1,526 cerambycids representing 71 species were captured in pheromone-baited traps, with 14 species accounting for 92% of the specimens. Test compounds with a 3-hydroxyalkan-2-one or 2,3-alkanediol motif attracted significant numbers of both sexes for eight species in the subfamily Cerambycinae, including species of Demonax, Rhaphuma, and Xylotrechus. Rhaphuma horsfieldi (White) was the only species that was strongly attracted to more than one test compound, with significant attraction to both (2R*,3R*)- 2,3-hexanediol and (2R*,3R*)-2,3-octanediol. Within the Lamiinae, males and females of  species were significantly attracted to 2-(undecyloxy)ethanol, including Acalolepta formosana (Breuning), Monochamus bimaculatus Gahan, Pharsalia subgemmata (Thomson), Pseudomacrochenus antennatus (Gahan), and Xenohammus bimaculatus Schwarzer. Only male Megopis costipennis White (Prioninae) were significantly attracted to (2R*,3S*)-2,3-octanediol, suggesting that this compound may be a sex pheromone component for this species. To date, 2,3-octanediols have only been reported as aggregatio
n pheromone components for cerambycids in the subfamily Cerambycinae. Our results support the hypothesis that both closely related (congeners) and more distantly related cerambycid species (different tribes and even subfamilies) may share pheromone components. Our results also demonstrate that traps baited with even a limited number of different classes of pheromones may be useful tools for surveying cerambycid diversity, as well as for detecting and monitoring particular species, especially those that have the potential to be invasive pests in other parts of the world.
DOI: 10.34725/dvn/4zbwtk
title: Fruiting Africa Nutrition and Consumption Baseline Surveys

description: Fruiting Africa Nutrition and Consumption Surveys - A subset of the Baseline Surveys
DOI: 10.34725/dvn/gnryj2
title: Planejamento e Avaliação para Tomada de Decisão em Sistemas Agroflorestais - PLANTSAFS, Espírito Santo, Brasil

description: Conjunto de dados coletados em campo para estudo do contexto no desenvolvimento de opções agroflorestais e recomendações agroecológicas através da ferramenta PLANTSAFS (planejamento e avaliação para tomada de decisão em sistemas agroflorestais). Estudo de caso em parceria com o Programa estadual REFLORESTAR e Projeto VERENA da IUCN em propriedades de agricultores familiares da região serrana e no norte do estado do Espírito Santo
DOI: 10.34725/dvn/tifoqt
title: Tree Crops Development in Africa and Asia to Benefit the Poor - Fruit Component

description: <p>The goal of the project is to reduce rural poverty in Kenya and Mali by promoting wealth and health of poor farming communities through enhanced cultivation, processing, marketing and use of a diversity of fruit trees. The proposed project also aims at contributing to the transition of small-scale farming systems from subsistence farming to intensified semi-commercial farming of fruit trees and of small-scale private or community tree nurseries and micro-processors to more business-oriented a
nd profitable enterprises.</p>  <p>Specifically, the project has the following objectives:</p> <ol> <li>Analyse the status quo of the whole fruit sector (including current seedling supply systems, production, processing, domestic/export markets and consumption) and its potentials/challenges to develop impact-oriented interventions and site-specific fruit tree portfolios.</li> <li> Provide farmers with access to high quality fruit tree planting material by establishing sustainable, decentralized
seedling supply systems (the Rural Resource Centre model).
</li> <li>Increase and disseminate knowledge on improved fruit tree propagation and on-farm tree management techniques.</li> <li>Build capacity of fruit producers and micro-processors on fruit post-harvest technologies, value adding, marketing and business skills.</li> <li>Increase awareness on the health benefits of regular fruit consumption of rural and urban households, particularly of children.</li> </ol>
DOI: 10.34725/dvn/wk3ran
title: Replication Data for: REDD+ Policy Approaches in the Congo Basin: A Comparative Analysis of Cameroon and the Democratic Republic of Congo (DRC)

description: The Congo Basin forests are a prime location for implementing REDD+. National REDD+ policy processes are ongoing and many REDD+ pilot initiatives are
being demonstrated. However, the level of national engagement, progress and distributionof REDD+ activities varies considerably in the different Congo Basin countries. This study therefore uses a set of criteria to assess national and international policy initiatives and approaches for advancing REDD+ implementation in Cameroon and the Democratic Republic of Congo (DRC), two countries where more than two thirds of the Congo Basin forests are concentrated. Our findings show that (i) both countries have shown the highest political presence at the international climate negotiations but DRC has invested more in the size of its delegation and side events; (ii) REDD+ donors, initiatives, and funding are disproportionately skewed towards DRC making it technically more advanced; (iii) the high political interest and institutional reforms in DRC favors private sector investments in REDD+ programs; and (iv) the REDD+ policy process is internally-driven in Cameroon with a strong national ownership, while it is externally-driven in DRC with weak national ownership. To advance REDD+, the government of DRC should embark on capacity building programs that ensure the transfer of REDD+ technical know-how from international to national actors while Cameroon needs to speed-up governance reforms and be more flexible in order to attract influential international REDD+ actors. This paper further
provides specific recommendations.
DOI: 10.5517/ccdc.csd.cc21snvc
title: CCDC 1900543: Experimental Crystal Structure Determination

description: Related Article: Min Feng, Bang-Heng Lyu, Ming-Hui Wang, Wei-Wei Wu, Yan-Cong Chen, Guo-Zhang Huang, Wei-Quan Lin, Si-Guo Wu, Jun-Liang Liu, Ming-Liang Tong|2019|Inorg.Chem.|58|10694|doi:10.1021/acs.inorgchem.9b00616
DOI: 10.5517/ccdc.csd.cc21snyg
title: CCDC 1900546: Experimental Crystal Structure Determination

description: Related Article: Min Feng, Bang-Heng Lyu, Ming-Hui Wang, Wei-Wei Wu, Yan-Cong Chen, Guo-Zhang Huang, Wei-Quan Lin, Si-Guo Wu, Jun-Liang Liu, Ming-Liang Tong|2019|Inorg.Chem.|58|10694|doi:10.1021/acs.inorgchem.9b00616
DOI: 10.5517/ccdc.csd.cc22zsxs
title: CCDC 1936226: Experimental Crystal Structure Determination

description: Related Article: Marina V. Kirillova, Tiago A. Fernandes, Vânia André, Alexander M. Kirillov|2019|Org.Biomol.Chem.|17|7706|doi:10.1039/C9OB01442J
DOI: 10.5517/ccdc.csd.cc22ztpl
title: CCDC 1936250: Experimental Crystal Structure Determination

description: Related Article: Ai-Mei Zhou, Han Wei, Wei Gao, Jie-Ping Liu, Xiu-Mei Zhang|2019|CrystEngComm|21|5185|doi:10.1039/C9CE01045A
DOI: 10.5517/ccdc.csd.cc22ztqm
title: CCDC 1936251: Experimental Crystal Structure Determination

description: Related Article: Ai-Mei Zhou, Han Wei, Wei Gao, Jie-Ping Liu, Xiu-Mei Zhang|2019|CrystEngComm|21|5185|doi:10.1039/C9CE01045A
DOI: 10.5517/ccdc.csd.cc22zygh
title: CCDC 1936367: Experimental Crystal Structure Determination

description: Related Article: Shenghai Guo, Yangfan Liu, Lu Zhao, Xinying Zhang, Xuesen Fan|2019|Org.Lett.|21|6437|doi:10.1021/acs.orglett.9b02336
DOI: 10.25592/dgs.corpus-type-69701
title: GLÜCK3^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, mehrere Releases)
title: LUCK3^ (MY DGS – annotated. Public Corpus of German Sign Language, several releases)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Über diese versionsunabhängige DOI ist die jeweils neueste Version des Datensatzes auffindbar.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This version-dependent DOI allows you to find the latest version of the dataset.
DOI: 10.34725/dvn/25212
title: Replication data for: Rubber agroforests in a changing landscape: analysis of land use/cover trajectories in Bungo district, Indonesia

description: Land cover has changed dramatically in Sumatra Island, Indonesia over the last decades. Rampant deforestation has drawn a lot of attention due to the potential global impact of the associated carbon stock loss on climate warming and the erosion of biodiversity. The various land uses which replace natural forest are not equally benign to the environment. Rubber agroforests (jungle rubber) are extensive traditional cropping systems. They have been singled out by previous studies as the best land use option
for biodiversity conservation once forest is cleared, while allowing farmers to make a living from the deforested land. But how sustainable are complex agroforestry systems themselves? Are they not just a transient stage in the overall process of land use intensification? We studied land cover change in the Bungo district, in Jambi, Sumatra (Indonesia), a 4,550 km2 area. Large forest tracks have been cleared since the early seventies and replaced by rubber plantations, oil palm plantations and other agricultural land-uses. Landsat images taken between 1973 and 2005 were used to quantify the trends of land cover changes in the area. During that period forest cover fell from more than 75% to 30%. Simultaneously monoculture plantations increased from 3% to over 40%, while rubber agroforests, decreased from 15% to 11%. Strikingly most of the rubber agroforests present in 2005 where absent in1973 while most of the rubber agroforests present in 1973 had been replaced by more intensive agricultural systems by 2005. Rubber agroforests are now the ultimate reservoir of the original lowland forest biodiversity since natural forest has almost completely disappeared from the peneplain. They are however under growing pressure themselves and have incurred an accelerated conversion rate to more intensive agricultural systems in the period 2002 to 2005. This is the land cover change database for Bungo District which are used to produce the land cover change and trajectories analysis
DOI: 10.34725/dvn/25725
title: Towards an Evergreen Agriculture in Africa: Scaling-up Conservation Agriculture with Trees for improved Livelihoods and Environmental Resilience in Eastern and Southern Africa- Local Knowledge - Kenya and Tanzania Knowledge Base

description: This guide is based on the results of a research project (Divakaran, 2011) conducted with the aid of the World Agroforestry Centre (ICRAF) based in Nairobi, Kenya, and regional and national partners in Kenya. The research was feeding into a project entitled: ‘Creating an Evergreen Agriculture in Africa: Scaling-up Conservation Agriculture with Trees for Improved Livelihoods and Environmental Resilience in Eastern and Southern Africa’. ICRAF was the main implementing institution responsible for technical, administrative and financial management of the wider project and it was funded by IFAD. The overall objective of the wider project was to improve the livelihoods of smallholder farmers in Eastern and Southern Africa while sustaining the natural resource base by promoting the conservation agriculture and agroforestry practices.
DOI: 10.34725/dvn/27183
title: Replication data for: Alemagi et al 2014 Intensification of Cocoa Agroforetry systems as REDD Strategy in Cameroon -IJAS

description: Tree 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: 10.34725/dvn/btb1ds
title: Food Trees Project: Socio-economic data, food production data and food tree diversity and richness data

description: Raw Data for the Food Trees Project: Socioeconomic data, food production data and food tree diversity and richness data
DOI: 10.34725/dvn/pgp3od
title: SUMMARIES: Trees on farm contribution to family livelihoods and ecosystem services in Nicaragua-Honduras Sentinel Lansdcape

description: A series of studies conducted as part of the long term research program in the Nicaragua-Honduras Sentinel Landscape. Since 2015 a series of studies have been developed to understand how trees on farms contribute to conserve biodiversity, ecosystem processes and improvement of people livelihood and food security. The studies have been developed along three Nicaraguan municipalities El Tuma-La Dalia, Waslala and Siuna. 120 farms and 570 land use plots have been measured considering both biophysical and socioeconomic variables. At plot and farm level data was generated to understand taxonomic tree diversity, trees production, soil characteristics, and an extensive information to describe farm management and economic indicators. Complementary, other partner  institutions have been also developed studies in a subset of the 120 farms related with gender and farm perception. The present files contain a summary of the type of available data and a complete tree species list. The three files are:
* A compiled and checked species list for trees collected in all plots.
* General description of the 120 farms and their geographic location. 
* Type of data available at farm and plot level for 120 farms.
DOI: 10.34725/dvn/ughetz
title: Growth of 4 provenances of Gnetum africanum at Mbalmayo field site, Cameroon 2017

description: Growth
DOI: 10.34725/dvn/xjjbb2
title: Morphological Characterization of Adansonia digitata Seed, 2016

description: Adansonia digitata seed characterization
DOI: 10.34725/dvn/xyou4q
title: Replication Data for: Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China

description: Climatic extremes such as drought have becoming a severe climate-related problem in many regions all over the world that can induce anomalies in vegetation condition. Growth and CO2 uptake by plants are constrained to a large extent by drought. Therefore, it is important to understand the spatial and temporal responses of vegetation to drought across the various land cover types and different regions. Leaf area index (LAI) derived from Global Land Surface Satellite (GLASS) data was used to evaluate the response of vegetation to drought occurrence across Yunnan Province, China (2001-2010). The meteorological drought was assessed based on Standardized Precipitation Index (SPI) values. Pearson's correlation coefficients between LAI and SPI were examined across several timescales within six sub-regions of the Yunnan. Further, the drought-prone area was identified based on LAI anomaly values. Lag and cumulative effects of lack of precipitation on vegetation were evident, with significant correlations found using 3-, 6-, 9- and 12-month timescale. We found 9-month timescale has higher correlations compared to another timescale. Approximately 29.4% of Yunnan’s area was classified as drought-prone area, based on the LAI anomaly values. Most of this drought-prone area was distributed in the mountainous region of Yunnan. From the research, it is evident that GLASS LAI can be effectively used as an indicator for assessing drought conditions and it provide valuable information for drought risk defense and preparedness.
DOI: 10.5517/ccdc.csd.cc21snwd
title: CCDC 1900544: Experimental Crystal Structure Determination

description: Related Article: Min Feng, Bang-Heng Lyu, Ming-Hui Wang, Wei-Wei Wu, Yan-Cong Chen, Guo-Zhang Huang, Wei-Quan Lin, Si-Guo Wu, Jun-Liang Liu, Ming-Liang Tong|2019|Inorg.Chem.|58|10694|doi:10.1021/acs.inorgchem.9b00616
DOI: 10.5517/ccdc.csd.cc21snxf
title: CCDC 1900545: Experimental Crystal Structure Determination

description: Related Article: Min Feng, Bang-Heng Lyu, Ming-Hui Wang, Wei-Wei Wu, Yan-Cong Chen, Guo-Zhang Huang, Wei-Quan Lin, Si-Guo Wu, Jun-Liang Liu, Ming-Liang Tong|2019|Inorg.Chem.|58|10694|doi:10.1021/acs.inorgchem.9b00616
DOI: 10.5517/ccdc.csd.cc22zyhj
title: CCDC 1936368: Experimental Crystal Structure Determination

description: Related Article: Shenghai Guo, Yangfan Liu, Lu Zhao, Xinying Zhang, Xuesen Fan|2019|Org.Lett.|21|6437|doi:10.1021/acs.orglett.9b02336
DOI: 10.5517/ccdc.csd.cc230l5x
title: CCDC 1936978: Experimental Crystal Structure Determination

description: Related Article: Richard D. Adams, Perry J. Pellechia, Mark D. Smith, Jonathan D. Tedder, Nutan D. Wakdikar|2019|J.Organomet.Chem.|898|120872|doi:10.1016/j.jorganchem.2019.120872
DOI: 10.5517/ccdc.csd.cc230l6y
title: CCDC 1936979: Experimental Crystal Structure Determination

description: Related Article: Richard D. Adams, Perry J. Pellechia, Mark D. Smith, Jonathan D. Tedder, Nutan D. Wakdikar|2019|J.Organomet.Chem.|898|120872|doi:10.1016/j.jorganchem.2019.120872
DOI: 10.5517/ccdc.csd.cc230l7z
title: CCDC 1936980: Experimental Crystal Structure Determination

description: Related Article: Richard D. Adams, Perry J. Pellechia, Mark D. Smith, Jonathan D. Tedder, Nutan D. Wakdikar|2019|J.Organomet.Chem.|898|120872|doi:10.1016/j.jorganchem.2019.120872
DOI: 10.5517/ccdc.csd.cc230l80
title: CCDC 1936981: Experimental Crystal Structure Determination

description: Related Article: Richard D. Adams, Perry J. Pellechia, Mark D. Smith, Jonathan D. Tedder, Nutan D. Wakdikar|2019|J.Organomet.Chem.|898|120872|doi:10.1016/j.jorganchem.2019.120872
DOI: 10.5517/ccdc.csd.cc230l91
title: CCDC 1936982: Experimental Crystal Structure Determination

description: Related Article: Richard D. Adams, Perry J. Pellechia, Mark D. Smith, Jonathan D. Tedder, Nutan D. Wakdikar|2019|J.Organomet.Chem.|898|120872|doi:10.1016/j.jorganchem.2019.120872
DOI: 10.34725/dvn/25313
title: Replication data for: Mapping Leaf Area Index in subtropical upland ecosystems using RapidEye imagery and the randomForest algorithm.iForest - Biosciences and Forestry

description: Canopy leaf area, frequently quantified by the Leaf Area Index (LAI), serves as the dominant control over primary production, energy exchange, transpiration, and other physiological attributes related to ecosystem processes. Maps depicting the spatial distribution of LAI across the landscape are of particularly high value for a better understanding of ecosystem dynamics and processes, especially over large and remote areas. Moreover, LAI maps have the potential to be used by process models describing energy and mass exchanges in the biosphere/ atmosphere system. In this article we assess the applicability of the RapidEye satellite system, whose sensor is optimized towards vegetation analyses, for mapping LAI along a disturbance gradient, ranging from heavily disturbed shrub land to mature mountain rainforest. By incorporating image texture features into the analysis, we aim at assessing the potential quality improvement of LAI maps and the reduction of uncertainties associated with LAI maps compared to maps based on Vegetation Indexes (VI) solely. We identified 22 out of the 59 image features as being relevant for predicting LAI. Among these, especially VIs were ran
ked high. In particular, the two VIs using RapidEyeÃÂÃÂ¢ÃÂÃÂÃÂÃÂs RED-EDGE band stand out as the top two predictor variables. Nevertheless, map accuracy as quantified by the mean absolute error obtained from a 10-fold cross validation (MAE_CV) increased significantly if VIs and texture features are combined (MAE_CV = 0.56), compared to maps based on VIs only (MAE_CV = 0.62). We placed special emphasis on the uncertainties associated with the resulting map addressing that map users often treat uncertainty statements only in a pro-forma manner. Therefore, the LAI map was complemented with a map depicting the spatial distribution of the goodness-of-fit of the model, quantified by the mean absolute error (MAE), used for predictive mapping. From this an area weighted MAE (= 0.35) was calculated and compared to the unweighted MAE of 0.29. Mapping was done using randomForest, a widely used statistical modeling technique for predictive biological mapping.
DOI: 10.34725/dvn/25747
title: Replication data for: Effect of organic fertilizer on the growth and fruit yield of six paprika (Capsicum annum L.) cultivars in Malawi

description: The production of paprika (Capsicum annum L.) under small-scale farm conditions in southern Africa is constrained by low soil fertility and lack of appropriate cultivars. The objective of this study was to determine the growth responses and fruit yields of six cultivars of paprika to organic and inorganic nutrient sources. The study was conducted in 2007 and 2008 at Chitedze Agricultural Research Station in Malawi. A combination of six paprika cultivars and four nutrient sources, namely (1) organic input from Gliricidia, (Gliricidia sepium) biomass, (2) inorganic fertilizer, (3) integrated nutrient input (Gliricidia biomass + inorganic fertilizer), and (4) control (no nutrient input) were compared. Each combination was replicated five times. A split-plot design was used where nutrient sources formed the main plot and cultivars the sub-plots. Plant height differed due to nutrient source in 2007 and 2008, while differences due to cultivar were minor.