cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60507/fk2/fc9oe8
title: Soil data for Ashanti and Brong-Ahafo Region (Ghana)

description: The table includes soil properties for Ashanti and Brong-Ahafo regions in Ghana 
Temporal coverage approximate 1950-2005.
Spatial resolution 1kmx1km.

Quality/Lineage: Source: http://www.isric.org/data/soil-property-maps-africa-1-km
ISRIC – World Soil Information, 2013. Soil property maps of Africa at 1 km.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={631c8584-98cc-47f3-a311-898ee2ec22ab}.<br>
Spatial resolution 1km.
DOI: 10.60507/fk2/qswkf8
title: Marginality Hotspots Bangladesh, 2005-2010

description: Overlapping Marginality Dimensions in Bangladesh. Methodology see also:
Graw, V. and C. Ladenburger. 2012. Mapping Marginality Hotspots - Geographical Targeting for Poverty Reduction. (ZEF Working Papers 88).

Indicators:
Per capita income (HIES 2010, cut-off-point: least 3rd quantile)
Under-five child mortality: DHS Survey 2008 (cut-off-point: least 3rd quantile)
Accessibility: Nelson 2008; cut-off-point: more than 3 hours distance)
Gender: Difference of men and women in eduction; secondary school complete and higher: DHS Survey 2008 (cut-off-point: least 3rd quantile)

An overlay was created with the above mentioned indicators based on the respective thresholds. Those areas where most indicators - with low performance - overlap were ranked as those areas experiencing highest marginality.

Purpose: This map was constructed within the MARGIP project aiming at identifying the poor and marginalized by finding areas with marginal performance in proxy indicators representing different spheres of life (based on the publication Gatzweiler et al. 2011: http://www.econstor.eu/bitstream/10419/88402/1/772782253.pdf). 
For further data on Bangladesh, please also have a look at:
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={1aa653e3-8eb2-41fe-b243-a24e360105d6}.<br>
Marginality Dimensions
I. Economy (GNI)
II. Quality of Life (Stunting)
III. Landscape Design (Accessibility)
IV. Ecosystems (Soil Constraints)
V. Governance (Political Stability)
DOI: 10.60507/fk2/wq1eay
title: Agricultural System in Mato Grosso, Brazil, 2006

description: Tropical forest loss remains a major environmental trade-off vis-à-vis the provision of food, feed, fiber, and bioenergy for an increasingly affluent world population. The effectiveness of agricultural intensification as a key strategy to manage and mitigate this trade-off is, however, contested. Increasing productivity can lead to either land expansion or land-saving depending on context-specific factors, such as land and output market conditions, the type of technology being used, and institutional arrangements including conservation policy. This dataset is used to investigate economic mechanisms behind intensification and land use decisions based on agricultural census data from the Brazilian state of Mato Grosso, a region known for large-scale soy and cattle production with both consolidated and unconsolidated agricultural frontiers taking place in three different biomes.

Quality/Lineage: Various sources of secondary data were used to create this database. Mainly the Brazilian agricultural census of 2006 and the agricultural surveys between 2004-2006. All data was processed using R and Rstudio.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={ce6e102f-eeec-491f-9563-0975ef4a29e1}.<br>
Variable description see ReadMe
DOI: 10.15468/dl.7b49yv
title: Occurrence Download

description: A dataset containing 9046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.432548179871503 37.75802762605394,-2.432548179871503 37.75802762605394,-2.432548179871503 41.75802762605394,-6.432548179871503 41.75802762605394,-6.432548179871503 37.75802762605394))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus pyrenaica Willd."
 ]
}

 The dataset includes 9046 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073005-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pa96ug
title: Occurrence Download

description: A dataset containing 52394 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus pyrenaica Willd."
 ]
}

 The dataset includes 52394 records from 537 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073004-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcc9td
title: Occurrence Download

description: A dataset containing 18851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.43149 38.80125,-7.58406 35.71762,-1.96931 36.2362,-0.38254 38.41974,-7.43149 38.80125))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus pyrenaica Willd."
 ]
}

 The dataset includes 18851 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073006-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60507/fk2/0npwos
title: Daily climate data from Sunyani, Ghana, 1974-2006

description: The table includes the daily values of Temperature, Rain, Sunshine, Wind speed, Relative humidity.

Quality/Lineage: Source of the data: Ghana Meteorological Services Department
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={a5b97c9e-8e2d-4a42-9ff7-74624c3e770b}.<br>
Temporal resolution = Daily
DOI: 10.60507/fk2/na7ags
title: Ethnic fractionalization in Ethiopia and their coincidence with marginality hotspots, 2007

description: This map shows ethnic fractionalization. The Ethnic Fractionalization Index is calculated using data from the 2007 Population and Housing Census. The striped areas show where marginality hotspots are. The map reveals that marginality hotspots are ethnically more homogeneous than non-hotspot areas.

Quality/Lineage: This map shows the ethnic fractionalization index as developed by Taylor and Hudson (1970). The index is calculated as 
1- sum(gi), where g is the proportion of people belonging to ethnic group i. The sum runs from 1 to n, where n is the number of ethnic groups in the country.
The data used is taken from the 2007 Population and Housing Census (CSA, 2008) and is available on woreda (district) level.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={5d982f57-35c6-4694-b5a6-f250494d072b}.
DOI: 10.60507/fk2/witnba
title: Security Apparatus, Cohesion Indicator (Fragile State Index), 2018

description: The Security Apparatus indicator considers the security threats to a state, such as bombings, attacks and battle-related deaths, rebel movements, mutinies, coups, or terrorism. The Security Apparatus also takes into account serious criminal factors, such as organized crime and homicides, and perceived trust of citizens in domestic security. In some instances, the security apparatus may extend beyond traditional military or police forces to include state-sponsored or state-supported private militias that terrorize political opponents, suspected “enemies,” or civilians seen to be sympathetic to the opposition. In other instances, the security apparatus of a state can include a “deep state”, that may consist of secret intelligence units, or other irregular security forces, that serve the interests of a political leader or clique. As a counter example, the indicator will also take into account armed resistance to a governing authority, particularly the manifestation of violent uprisings and insurgencies, proliferation of independent militias, vigilantes, or mercenary groups that challenge the state’s monopoly of the use of force.

Quality/Lineage: The data is downloaded from the above link http://fundforpeace.org/fsi/indicators/c1/ and manipulated only table format keeping the value same for all the countries as the requirement of the Strive database. The map is created based on the values of the country using rworldmap package in R.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={64f27aa4-cef9-4237-b712-c053a71d1bd0}.
DOI: 10.60507/fk2/obgear
title: Distribution of Stem Borer Pests and Natural Enemy Species in Kenya and Tanzania under Current Climatic Conditions (1970-2000) and Different Climate Change Scenarios (2041-2060, 2081-2100)

description: The research within the scope of which the presented data was generated was part of the funding initiative ‘Knowledge for Tomorrow-Cooperative Research Project in sub-Saharan Africa on Resource, their Dynamics, and Sustainability’ funded by the Volkswagen Foundation. The overall study aimed at investigating the uncertainties in the effectiveness of biological control of stem borers under different climate change scenarios in Kenya and Tanzania. Using the species distribution modelling approach MaxEnt, the research predicts the current and future distribution of three important lepidopteran stem borer pests of maize in eastern Africa, i.e., Busseola fusca (Fuller, 1901), Chilo partellus (Swinhoe, 1885) and Sesamia calamistis (Hampson, 1910), and two of their parasitoids used for biological control, i.e., Cotesia flavipes (Cameron, 1891) and Cotesia sesamiae (Cameron, 1906). Based on these potential distributions and data collected during household surveys with local farmers in Kenya and Tanzania, future maize yield losses are predicted considering three different Global Circulation Models (GCMs) for four different Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP 3-7.0, SSP5-8.5) and two time periods, i.e., 2041-2060 and 2081-2100. 

The rasters show the species predicted current and future distribution for four different SSPs and time periods 2041-2060 and 2081-2100. The distribution rasters are based on a raster displaying probability of habitat suitability which was converted into binary range maps by application of different threshold levels, i.e., 1) Balance training omission, predicted area and threshold values Cloglog threshold, 2) Maximum training sensitivity plus specificity Cloglog threshold, 3) Equal training sensitivity and specificity Cloglog threshold and 4) 10th percentile training presence Cloglog threshold. Grid cells carrying a probability value above the respective threshold show species presence (cell assigned a value of 1), while grid cells with a probability value below the threshold show species absence (cell assigned a value of 0). Accordingly, 4 presence-absence rasters were obtained for a species current distribution and calculated in their sum, while 12 presence-absence rasters were calculated for each climate change scenario, subsequently also calculated in their sum. The raster therefore specifies grid cells where species distribution is predicted to be more (grid cell carrying a high sum value), or less, likely (grid cell carrying a low cell value).
description: Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={b51b4030-fb4a-41c0-9e50-45a329392418}.<br>
The naming of files follows the syntax: first letters of species name_SSP_time period_binarysum (= sum of 12 binary range maps)
DOI: 10.60507/fk2/vwutwf
title: Agronomic Fertilizer Use Efficiency (FUE) (Map) in Maize biomass in Ashanti region and Brong-Ahafo region in Ghana (Map) under three fertilizer application rates i.e., 4 kg/ha Nitrogen (current application rates); 45 kg/ha Nitrogen and 15 kg/ha Phosphorous; 135 kg/ha Nitrogen and 45 kg/ha Phosphorous, 1992-2010

description: Agronomic Fertilizer Use Efficiency (WUE) for maize biomass in Ashanti region and Brong-Ahafo region in Ghana has been estimated under three different fertilizer application rates using crop model LINTUL5 embedded into the modeling framework SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management.

Quality/Lineage: The Agronomic fertilizer use efficiency in maize biomass under three different fertilizer application rates, plotted in the map was calculated as the average values of 19 years (the year 1992 -2010). The unit is kilogram per Kilogram (kg/kg).

Agronomic fertilizer Use Efficiency (FUE)= (Maize biomass under fertilized condition - Maize biomass under unfertilized condition) (in kg)/ Fertilizer application rate (in kg)

The climate data at the national scale was made available from the Terrestrial Hydrology Research Group, Princeton University (http://hydrology.princeton.edu/data.php) at a resolution of 10 km x 10 km. The dataset was constructed by combining a suite of global observation-based datasets with the NCEP/NCAR reanalysis.

Soil parameter values were extracted from the soil property maps of Africa at 1 km x 1 km resolution 
(http://www.isric.org/data/soil-property-maps-africa-1-km).
Purpose: To increase food production, identifying the regions with untapped production capacity is of prime importance and can be achieved by quantitative and spatially explicit estimates of Agronomic Fertilizer use efficiency, thus considering the spatial variation in environment and the production system.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={fbc85081-4332-4ca8-857d-7f2b13460a84}.
DOI: 10.60507/fk2/pi929d
title: Crop calender of Maize & Cassava in Nigeria

description: The table includes sowing, harvesting dates, sowing/planting rates of Maize and Cassava in different Agro-ecological zones in Nigeria.

Quality/Lineage: FAO (http://www.fao.org/agriculture/seed/cropcalendar/welcome.do).
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={0a526381-2a99-4979-af1e-b6dc3297b39e}.<br>
Spatial resolution: zonal
DOI: 10.60507/fk2/sugf41
title: A Holistic Sustainability Assessment of Smallholder Farms in Kenya, 2016 - Dataset 2

description: In our research we assess the sustainability performance of 400 smallholder farms practicing organic (i.e. certified or non-certified) and non-organic agriculture (i.e. conventional or other) using the Sustainability Monitoring and Assessment RouTine (SMART)-Farm Tool and examine differences between these farm categories using multivariate analyses. We also identify general gaps in sustainability performance for all farms.

Quality/Lineage: Multivariate data analyses.
Purpose: The results are important to provide a basis for informed decision-making in design of future policy measures and other interventions aiming at sustainable smallholder farming which is significant for sustainable development in Kenya and other countries of sub-Saharan Africa.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={ebd76fb7-f47d-4806-9e9f-d2521eb1b530}.<br>
Sustainability Assessment of Food and Agriculture systems (SAFA) dimensions, themes, subthemes and author derived variables.
DOI: 10.60507/fk2/qbro0o
title: Focus Group Discussion Protocols on Livelihood Situation of Farmers in four Communities in Oromia, Ethiopia (2015)

description: In four kebeles (smalles administrative unit in Ethiopia: Bonda Megela, Gaba, Wabo, Wangene) in Oromia district gender-disaggregated focus group discussions on socio-economic aspects of farming communities were conducted. Aspects have been the institutional network of the village (with the help of the Venn Diagram tool, income and livelihood sources (with land, without land, with irrigation, without irrigation) with a focus on cash and food crops and vegetable production, market access, marketing structure and prices, land titles and inheritance arrangements, role of extension services, access to credit, contractfarming and future plans of children. Discussions were part of the NutriHAF project, which aims at diversifying diets and livelihoods through the promotion of multi-storey cropping in biosphere hotspots in Ethiopia and Madagascar.

Purpose: Discussions were part of the NutriHAF project, which aims at diversifying diets and livelihoods through the promotion of multi-storey cropping in biosphere hotspots in Ethiopia and Madagascar. One workpackage of the project entirely deals with socioeconomic and gender issues in order to understand the farmers life realities, opportunities and challenges for the project. Because the project is highly participative and all crops and locations will be selected jointly with farmers and adoption rates as well as impact have proved to be much higher if socio-cultural contexts and gender relations are considered the focus group discussions and interviews serve to provide an overview on the social context and social relations in the locations.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={4ebf5ea8-886e-4f71-834d-7d532d2149c5}.
DOI: 10.60507/fk2/0wtlye
title: ZEF-ISSER Trader Survey, Ghana, 2012-2014

description: The dataset includes data collected from wholesale trader in grains with significant storage capacity in Ghana. In addition, information was collected on the trading enterprise, general market conditions, price expectations, operational costs, and risk. In total 38 traders were surveyed between August to November 2013.

Purpose: The survey was set out to gain knowledge on trading behavior and stocking strategies of the respondents. There is little knowledge on the seasonal variation in commercial stock levels in many African countries. The main purpose of the survey was to record seasonal variation in stocks for the respondents over the past marketing year.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={653c7ffb-1266-4fb7-8fa6-f066eb8c2cc7}.
DOI: 10.60507/fk2/u0hder
title: Annual maize and cassava yield and production data Ashanti and Brong-Ahafo regions, Ghana, 1992-2011.

description: The table includes annual data of yield and production of Maize and Cassava at Regional (Ashanti and Brong-Ahafo) and site specific (Kumasi, Ejura, Dorma Ahenko, Nkoranza, Techiman) level.

Quality/Lineage: Source of the data: PPMED (Agri. Stat. & Census Division), Ministry of Agriculture, Ghana.
http://kids.fao.org/agromaps/
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={46098461-1b8d-4863-8449-a9494a0343a9}.<br>
Temporal resolution = Annual
DOI: 10.60507/fk2/unnfoh
title: Social Accounting Matrix of Ethiopia, 2005

description: The data was conducted by three Organizations: EDRI, IFPRI and University of Sussex to see the Impact of biomassweb on the economies of developing countries using the 2005 Household Income Consumption Expenditure Survey. It covers 65 production accounts, 100 consumption accounts, 16 households, 4 factors of production and, government, I-S and ROW accounts.

Quality/Lineage: Data was collected by EDRI but cleaning and disagregation was done by the author.
Purpose: The SAM was collected to conduct a holistic Impact Evaluation of non-Food biomass
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={c750c2c3-0182-4441-8a3d-f4c567be602f}.<br>
Variables:
Cereals
Cash Crops
Livestock
Other Ag.
Milling Service
Food Processing
Other Manug.
Utility
Mining
Const.
Trade
Trans. & Comm. 
Hotels 
Financial
Real Estate
Public Admin.
Edu. & Health
Other Serv.
Marketed
Own Consumed
Margins
Ag. Labor
Non-ag Labor
Ag. Capital 
Livestock Capital
Non-ag Capital 
Rural poor 
Rural non-poor 
Urban poor 
Urban non-poor 
Gov.
Direct 
Indirect
DOI: 10.60507/fk2/woiijg
title: Water Use Efficiency (WUE) in Maize grain yield in Ethiopia (Map) under unfertilized conditions, 90 kg ha-1 Nitrogen and 30 kg ha-1 Phosphorus application rate, 225 kg ha-1 Nitrogen and 75 kg ha-1 Phosphorus application rate, 2004-2010

description: Water Use Efficiency (RUE) for maize grain yield across the Ethiopia has been estimated under fertilized conditions using crop model LINTUL5 embedded into the modeling framework SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management.

Purpose: To increase food production, identifying the regions with untapped production capacity is of prime importance and can be achieved by quantitative and spatially explicit estimates of Water use efficiency, thus considering the spatial variation in environment and the production system.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={d9271b3a-5890-48f8-9648-9b099aaba5b5}.<br>
The water use efficiency in maize grain yield under fertilized conditions plotted in the map was calculated as the average values of 7 years (the year 2004 -2010). The unit is kilogram per millimeter (kg/mm).

Water Use Efficiency (WUE)= Maize grain yield under fertilized condition (in kg)/ Cumulative precipitation during crop growth period (in millimeter)

The climate data at the national scale was made available from the National Aeronautics and Space Administration (NASA), Goddard Institute of Space Studies(https://data.giss.nasa.gov/impacts/agmipcf/agmerra/), AgMERRA.The dataset is stored at 0.25°×0.25° horizontal resolution (~25km).

Soil parameter values were extracted from the soil property maps of Africa at 1 km x 1 km resolution 
(http://http://www.isric.org/projects/soil-property-maps-africa-1-km-resolution).
DOI: 10.60507/fk2/zf2ie5
title: Registering Property, Ranking of Economy, 2017

description: Economies are ranked on their ease of doing business, from 1–190. A high ease of doing business ranking means the regulatory environment is more conducive to the starting and operation of a local firm. The rankings are determined by sorting the aggregate distance to frontier scores on 10 topics, each consisting of several indicators, giving equal weight to each topic. The rankings for all economies are benchmarked to June 2017.

Quality/Lineage: The data is downloaded from the above link http://www.doingbusiness.org/rankings and manipulated only table format keeping the value same for all the countries as the requirement of the Strive database. The map is created based on the values of the country using rworldmap package in R.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={a3a113c8-924e-4b0b-9cad-c41321bbcb47}.
DOI: 10.60507/fk2/g3iwlc
title: Daily climate data in Nyankpala, Ghana (1970-2010)

description: The table includes the daily values of Irridiation, Temperature (min. & max.), Vapour pressure and Precipitation.
Note: Irridiation and Vapour pressure are being calculated.

Quality/Lineage: Source of the data: CSIR-SARI Meteorological station (Ghana)
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={c64f629e-1595-4a46-9828-1cf96837cd0e}.<br>
Temporal resolution = Daily