cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60507/fk2/dvrkk5
title: Agronomic Radiation Use Efficiency (RUE) 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 rate); 45 kg/ha Nitrogen and 15 kg/ha Phosphorous; and 135 kg/ha Nitrogen and 45 kg/ha Phosphorous, 1992-2010

description: Agronomic Radiation Use Efficiency (RUE) 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.

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 Radiation 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={b8e67e54-be17-477b-8a84-e0d373b21e56}.<br>
The Agronomic Radiation use efficiency in maize biomass under three 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 MegaJoule (kg/MJ).

Agronomic Radiation Use Efficiency (RUE)= Maize biomass (in kg)/ Cumulative Global Radiation during crop growth period (in megajoules)

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://http://www.isric.org/projects/soil-property-maps-africa-1-km-resolution).
DOI: 10.60507/fk2/7pna1x
title: Uneven Economic Development, Economic Indicator (Fragile state Index) 2018

description: The Uneven Economic Development Indicator considers inequality within the economy, irrespective of the actual performance of an economy. For example, the Indicator looks at structural inequality that is based on group (such as racial, ethnic, religious, or other identity group) or based on education, economic status, or region (such as urban-rural divide). The Indicator considers not only actual inequality, but also perceptions of inequality, recognizing that perceptions of economic inequality can fuel grievance as much as real inequality, and can reinforce communal tensions or nationalistic rhetoric. Further to measuring economic inequality, the Indicator also takes into account the opportunities for groups to improve their economic status, such as through access to employment, education, or job training such that even if there is economic inequality present, to what degree it is structural and reinforcing.

Quality/Lineage: The data is downloaded from the above link http://fundforpeace.org/fsi/indicators/e2/ 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={5681964b-c779-4c1f-a903-ae6bdfd7bfeb}.
DOI: 10.15468/dl.b9puyc
title: Occurrence Download

description: A dataset containing 378012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agriphila geniculea (Haworth, 1811), Agriphila inquinatella (Denis & Schiffermüller), 1775, Agriphila selasella Hübner, Agriphila straminella (Denis & Schiffermüller), 1775, Agriphila tristellus (Denis & Schiffermüller), 1775, Agrochola circellaris Hufnagel, 1766, Agrochola litura Linnaeus, 1761, Agrochola lota Clerck, 1759, Agrochola lunosa Haworth, 1809, Agrochola lychnidis (Denis & Schiffermüller), 1775)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 378012 records from 524 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072904-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60507/fk2/whsn1c
title: Matlab Script for a Theoretical Analysis of Policy Interventions to Stabilize Food Prices

description: This is a theoretical study which compares the cost-effectiveness of storage and trade-related policies to stabilize food prices in a two-country setting. The raw data is generated based on stochastical simulations with Matlab Scripts. This data is then analyzed to assess how policies impact the distribution of prices in the two countries.
Policies are storage and trade related.

The Download is a ZIP-File containing many Matlab files (.m).
For each scenario in the paper/dissertation, there are two Matlab files. The "_specs" file defines the specifications for the simulation (country size, ...), and the "_analysis" file is for the mathematical implementation (setting up the model, solving it, running the simulations).
The different scenarios include (for details see the linked doctoral thesis by Jan Brockhaus which provides more background information)
- "asymshocks": Asymmetric shocks between the two countries
- "defaultvalues": The different distinct and discrete scenarios described in the paper
- "privstorsubsidies": The continuous private storage subsidy
- "reservevariation": The simulations for the reserves with different parameters (reserve capacity and trigger price are varied)

All other files are required in the same folder for the calculations to run as these files are references in the ones mentioned above. 
Furthermore, the RECS toolbox (http://www.recs-solver.org/) and the CompEcon Toolbox (http://www4.ncsu.edu/~pfackler/compecon/download.html) must be installed first before running any of the codes.

Purpose: Evaluating the cost-effectiveness of different policies to stabilize prices of staple crops.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={984ef519-3a17-400f-9b1e-eabaf36a187a}.
DOI: 10.57841/casdc.0005153
title: 硅基III-V族半导体量子阱激光器的电致荧光测试数据集
DOI: 10.60507/fk2/qne59l
title: Trend Market Economy, Bertelsmann Stiftung’s Transformation Index (BTI), 2018

description: Trend Market Economy is calculated based on data of Market Economy status index for 2016 and 2018 whether it is increasing or decreasing. Market Economy Status index is calculated taking account indicators like Level of Socioeconomic Development, Organization of the Market and Competition, Currency and Price Stability, Private Property, welfare regime, economic performance and sustainability.

Market Economy Status index is one of indicators contributing for Bertelsmann Stiftung’s Transformation Index (BTI). The short description of Bertelsmann Stiftung’s Transformation Index (BTI)is given below :-


Advocating reforms aimed at supporting the development of a constitutional democracy and a socially responsible market economy, the BTI provides the framework for an exchange of good practices among agents of reform. The BTI publishes two rankings, the Status Index and the Management Index, both of which are based on in-depth assessments of 129 countries. The Status Index ranks the countries according to the state of their democracy and market economy, while the Management Index ranks them according to their respective leadership’s management performance. Distributed among the dimensions of democracy, market economy and management, a total of 17 criteria are subdivided into 49 questions. BTI countries are selected according to the following criteria: They have yet to achieve a fully consolidated democracy and market economy, have populations of more than two million (excepting seven states chosen as particularly interesting cases), and are recognized as sovereign states.

Quality/Lineage: The data is downloaded from the above link https://www.bti-project.org/en/data/ 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={53c901f1-6e3c-4aaa-8ea4-8c3a28bf1b30}.
DOI: 10.60507/fk2/w96zw2
title: Ease of Doing Business, 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={aa600f19-09dc-437d-8836-29fe433fa4bb}.
DOI: 10.60507/fk2/xppoha
title: Annual cereals and pulses yield and production data from Amhara and Oromia regions, Ethiopia, 1996-2012

description: The table includes annual data of yield and production of cereals and pulses at National and Regional (Amhara and Oromia) level.
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={a616b7c1-1740-48db-8420-6870896df93d}.<br>
Temporal resolution = Annual
DOI: 10.60507/fk2/nkbdyk
title: Maize Yield Gap in Ghana (Map), 1992-2010

description: The yield gap for maize in two regions (Ashanti Region and Brong-Ahafo region) in Ghana has been estimated using crop model LINTUL5 embedded into the modeling framework SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management. The yield gap of a crop grown in a certain location and cropping system is defined as the difference between the yield and biomass under optimum management and the average yield achieved by farmers. Yield under optimum management is labeled as potential yield (Yp) under irrigated conditions or water-limited potential yield (Yw) under rain-fed conditions.Yp is location specific because of the climate, and not dependent on soil properties assuming that the required water and nutrients are non-limiting and can be added through management. Thus, in areas without major soil constraints, Yp is the most relevant benchmark for irrigated systems. Whereas, for rain-fed crops, Yw, equivalent to water-limited potential yield, is the most relevant benchmark. Both Yp and Yw are calculated for optimum planting dates, planting density and region-specific crop variety which is critical in determining the feasible growth duration, particularly in tropical climatic conditions where two or even three crops are produced each year on the same field.

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 Yield gaps, 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={fd1320ff-cc6c-460d-bbea-a1d7222c9356}.<br>
The yield gaps plotted in the map were calculated as the average values of 19 years (the year 1992 -2010). The unit is Megagram per hectare (Mg ha-1) which is equivalent to tons ha-1.

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).

Maize yields (Mg ha-1) over 19 years(1992 - 2010) at the district level have been collected from the PPMED (Agric. Statistics & Census Div.) Min. of Agric., Ghana.
DOI: 10.60507/fk2/ki4nsi
title: External Intervention, Social Indicator (Fragile state Index) 2018

description: The External Intervention Indicator considers the influence and impact of external actors in the functioning – particularly security and economic – of a state. On the one hand, External Intervention focuses on security aspects of engagement from external actors, both covert and overt, in the internal affairs of a state at risk by governments, armies, intelligence services, identity groups, or other entities that may affect the balance of power (or resolution of a conflict) within a state. On the other hand, External Intervention also focuses on economic engagement by outside actors, including multilateral organizations, through large-scale loans, development projects, or foreign aid, such as ongoing budget support, control of finances, or management of the state’s economic policy, creating economic dependency. External Intervention also takes into account humanitarian intervention, such as the deployment of an international peacekeeping mission.

Quality/Lineage: The data is downloaded from the above link http://fundforpeace.org/fsi/indicators/x1/ 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={4c394819-252d-41ae-acb8-8a8d0ecbbe45}.
DOI: 10.6084/m9.figshare.26367214.v2
title: Replication Package for 'An Empirical Study of Community-prescribed Security Configurations in Kubernetes'

description: The replication package contains data and scripts used to generate results reported in the paper. The replication package does not contain any data from Company-A to abide by the non-disclose agreement signed between the authors and Company-A.
DOI: 10.60507/fk2/es2sdc
title: Maize Yield Gap in Ethiopia (Map), 2004-2010

description: The yield gap for maize across the Ethiopia has been estimated using crop model LINTUL5 embedded into the modeling framework SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management. The yield gap of a crop grown in a certain location and cropping system is defined as the difference between the yield and biomass under optimum management and the average yield achieved by farmers. Yield under optimum management is labeled as potential yield (Yp) under irrigated conditions or water-limited potential yield (Yw) under rain-fed conditions.Yp is location specific because of the climate, and not dependent on soil properties assuming that the required water and nutrients are non-limiting and can be added through management. Thus, in areas without major soil constraints, Yp is the most relevant benchmark for irrigated systems. Whereas, for rain-fed crops, Yw, equivalent to water-limited potential yield, is the most relevant benchmark. Both Yp and Yw are calculated for optimum planting dates, planting density and region-specific crop variety which is critical in determining the feasible growth duration, particularly in tropical climatic conditions where two or even three crops are produced each year on the same field.

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 Yield gaps, 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={c2bbd5ed-fd4c-4a3f-b0b1-113a5d4f3ddf}.<br>
The yield gaps plotted in the map were calculated as the average values of 7 years (the year 2004 -2010). The unit is Megagram per hectare (Mg ha-1) which is equivalent to tons ha-1.

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://www.isric.org/data/soil-property-maps-africa-1-km).

Maize yields (Mg ha-1) and fertilizer application (Nitrogen and Phosphorus) rates over seven years (2004 - 2010) at administrative zone level have been collected from the Central Statistical Agency, Ethiopia.
DOI: 10.60507/fk2/uypqke
title: Paying Taxes, Ranking of Economy, 2017

description: Economies are ranked on their ease of doing business, from 1–186. 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={a5e2c1c7-bdad-4ced-9f5f-fe18de13eec2}.
DOI: 10.60507/fk2/173fec
title: Monthly cumulative precipitation data from Jimma, Ethiopia, 1952-2013

description: The table includes the monthly cumulative values of rainfall.

Quality/Lineage: Source of the data: National Adaptation Plan of Action of Ethiopia & ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/v2/zipd/
description: This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={3ca1223b-fb2a-4c83-a39d-84663d9a2010}.<br>
Temporal resolution = Monthly
DOI: 10.60507/fk2/dfgvlc
title: Protecting Minority Investors, Ranking of Economy, 2017

description: Economies are ranked on their ease of doing business, from 1–186. 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={c20adfa3-0210-4ccb-bc61-a51209e13582}.
DOI: 10.5281/zenodo.14674349
title: Comparing UML-based and DSL-based Modeling from Subjective and Objective Perspectives: Replication package

description: This folder contains material related to the execution and analysis of an experiment comparing UML-based and DSL-based Modeling form Subjective and Objective Perspectives: The ethics comitee aproval, the experimental objects( the training material, the consent to process the data, the demographic questionnaire, the satisfaction questionnaire, the open-ended questionnaire and  the materials used in the focus group), the results and data obtained and the statistical analisys.
DOI: 10.5281/zenodo.14674350
title: Comparing UML-based and DSL-based Modeling from Subjective and Objective Perspectives: Replication package

description: This folder contains material related to the execution and analysis of an experiment comparing UML-based and DSL-based Modeling form Subjective and Objective Perspectives: The ethics comitee aproval, the experimental objects( the training material, the consent to process the data, the demographic questionnaire, the satisfaction questionnaire, the open-ended questionnaire and  the materials used in the focus group), the results and data obtained and the statistical analisys.
DOI: 10.5281/zenodo.14674527
title: Evaluating the Benefits of Software Product Lines in Game Software Engineering: Replication Package

description: This folder contains material related to the execution and analysis of an experiment comparing comparing two developmentapproaches, Clone and Own (CaO) and an SPL in terms of correctness, efficiency, and satisfaction when subjects developelements of a commercial video game: The experimental objects( the training material, the consent to process the data, the demographic questionnaire, the satisfaction questionnaire, the open-ended questionnaire and  the materials used in the focus group), the results and data obtained and the statistical analisys
DOI: 10.5281/zenodo.14674528
title: Evaluating the Benefits of Software Product Lines in Game Software Engineering: Replication Package

description: This folder contains material related to the execution and analysis of an experiment comparing comparing two developmentapproaches, Clone and Own (CaO) and an SPL in terms of correctness, efficiency, and satisfaction when subjects developelements of a commercial video game: The experimental objects( the training material, the consent to process the data, the demographic questionnaire, the satisfaction questionnaire, the open-ended questionnaire and  the materials used in the focus group), the results and data obtained and the statistical analisys
DOI: 10.60507/fk2/szk5cn
title: Political Stability and Absence of Violence/Terrorism, Worldwide Governance Indicator, 2016

description: Political Stability and Absence of Violence/Terrorism measures perceptions of the likelihood of political instability and/or politically motivated violence, including terrorism. This table lists the individual variables from each data source used to construct this measure in the Worldwide Governance Indicators

Quality/Lineage: The data is downloaded from the above link http://info.worldbank.org/governance/wgi/#home 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={cfbd2f69-e43a-4aa6-a861-3f0319d81a63}.