cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/6dna1h
title: Jeżyna wcinanolistna (Rubus laciniatus Willd.), 6595

description: Herbarium
DOI: 10.48370/ofd/aqkzuv/jfg5gx
title: HMW_Rubus_idaeus_L._H_2239.jpg

description: :unav
DOI: 10.48370/ofd/aqkzuv
title: Malina właściwa (Rubus idaeus L.), 2239

description: Herbarium
DOI: 10.48370/ofd/pm5o3l/m1bslo
title: HMW_Rubus_idaeus_L._H_2238.jpg

description: :unav
DOI: 10.48370/ofd/pm5o3l
title: Malina właściwa (Rubus idaeus L.), 2238

description: Herbarium
DOI: 10.48370/ofd/8trnvs/ehqpz4
title: HMW_Rubus_idaeus_L._H_2235.jpg

description: :unav
DOI: 10.48370/ofd/8trnvs
title: Malina właściwa (Rubus idaeus L.), 2235

description: Herbarium
DOI: 10.34740/kaggle/dsv/2926243
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.22008/fk2/hdhwwh/lvji35
title: G100_Nordkronen_400dpi.tif

description: :unav
DOI: 10.22008/fk2/hdhwwh/4bh7ha
title: G100_Nordkronen_400dpi.pdf

description: :unav
DOI: 10.6084/m9.figshare.17140007
title: Differential_transcript_usage

description: Contents:<br>raw_data: counts from transcriptome-mapped data from direct cDNA dataset, analysed by Salmon<br>analysis: DRIMseq and StageR analysis outputs<br>scripts: example scripts of analysing differential transcript usage in direct cDNA datasets with DRIMseq and StageR<br>
DOI: 10.6084/m9.figshare.17140007.v1
title: Differential_transcript_usage

description: Contents:<br>raw_data: counts from transcriptome-mapped data from direct cDNA dataset, analysed by Salmon<br>analysis: DRIMseq and StageR analysis outputs<br>scripts: example scripts of analysing differential transcript usage in direct cDNA datasets with DRIMseq and StageR<br>
DOI: 10.6084/m9.figshare.17139995
title: Differential_expression

description: Contents:<br>raw_data: Counts data from Featurecounts of direct cDNA datasets<br><br>analysis: Differential expression results from DESeq2<br><br>scripts: Scripts to generate DESeq2 results from counts data, at each time point and between time points using method by Steven Ge<br>
DOI: 10.6084/m9.figshare.17139995.v1
title: Differential_expression

description: Contents:<br>raw_data: Counts data from Featurecounts of direct cDNA datasets<br><br>analysis: Differential expression results from DESeq2<br><br>scripts: Scripts to generate DESeq2 results from counts data, at each time point and between time points using method by Steven Ge<br>
DOI: 10.5281/zenodo.5779272
title: Preventing technical debt with the TAP framework for Technical Debt Aware Management

description: <br> This zip file contains twelve files and one folder to replicate and verify the study evaluating the TAP Framework (for Technical debt Aware Project management). * TDframework_ticket_rawdata_revised_anonymised.xlsx: <br> revised and anonymized raw data for tickets statistic containing two sheets for TD ticket and maintenance ticket * TDframework_survey_questions_and_SPSSvariable_definition.xlsx: <br> excel sheet with all survey questions in German and English language, SPSS variable names, and short names<br> <br> <br> * TDframework_survey_results.sav:<br> survey results already in SPSS format, variables with suffix "D" are dichotomized versions of the variables as explained in the paper. * TDframework_survey_results.xslx:<br> Excel-Export of TDframework_survey_results.sav<br> <br> <br> * MannWhitneyUTest.spv:<br> results of the Mann-Whitney U-Test which show the significances of the hypothesis mentioned in the paper (Section 5.2.2)<br> <br> * MannWhitneyUTest.xslx:<br> Excel-Export of MannWhitneyUTest.sav<br> <br> <br> * Correlations.spv<br> results of the Chi-square test for correlations and the significances mentioned in the paper (Section 5.2.3)<br> <br> * Correlations.xslx:<br> Excel-Export of Correlations.sav<br> <br> <br> * Management-Survey_2021_en.pdf:<br> - original survey with englisch translation of the questions<br> <br> * Management-Survey_2021_XXX.pdf:<br> results of the management survey from <br> - team manager of the observed unit (TMO), participant A<br> - team manager of the comparison unit (TMC), participant B<br> - unit manager of the observed unit (UMO), participant C<br> - unit manager of the comparison unit (UMC), participant C<br> UMC =&gt; no survey, but email conversation between author and UMC to get the answers for the comparison unit<br> <br> <br> * folder "Case Study Protocol"<br> contains the case study protocol according to Runeson's guidelines.<br>
description: Answers to management survey in German only
DOI: 10.5517/ccdc.csd.cc27wg9x
title: CCDC 2081969: Experimental Crystal Structure Determination

description: Related Article: Madeline Faass, Ajay Mallia, Roger D. Sommer, Joseph C. Sloop|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27z74m
title: CCDC 2084630: Experimental Crystal Structure Determination

description: Related Article: Anna Jurowska, Maciej Hodorowicz, Krzysztof Kruczała, Janusz Szklarzewicz|2021|Dalton Trans.|50|17981|doi:10.1039/D1DT03224K
DOI: 10.5517/ccdc.csd.cc27zt8b
title: CCDC 2085192: Experimental Crystal Structure Determination

description: Related Article: Zheng Wang, Qing Lin, Ning Ma, Song Liu, Mingyang Han, Xiuli Yan, Qingbin Liu, Gregory A. Solan, Wen-Hua Sun|2021|Cat.Sci.Tech.|11|8026|doi:10.1039/D1CY01945G
DOI: 10.5517/ccdc.csd.cc27zt9c
title: CCDC 2085193: Experimental Crystal Structure Determination

description: Related Article: Zheng Wang, Qing Lin, Ning Ma, Song Liu, Mingyang Han, Xiuli Yan, Qingbin Liu, Gregory A. Solan, Wen-Hua Sun|2021|Cat.Sci.Tech.|11|8026|doi:10.1039/D1CY01945G
DOI: 10.5517/ccdc.csd.cc285mtx
title: CCDC 2090789: Experimental Crystal Structure Determination

description: Related Article: Jinlian Hu, Qin Xiang, Jun Xu, Zhanqiang Xu, Guang Chen, Zhe Sun|2021|CSD Communication|||
description: Related Article: Jinlian Hu, Qin Xiang, Jun Xu, Zhanqiang Xu, Guang Chen, Zhe Sun|2021|Chem.Commun.|57|9712|doi:10.1039/D1CC04113D
DOI: 10.5517/ccdc.csd.cc28864x
title: CCDC 2093248: Experimental Crystal Structure Determination

description: Related Article: Li-Jun Zhao, Zequn Yin, Yusheng Shi, Wen Sun, Libo Sun, Huijuan Su, Xun Sun, Weiling Zhang, Linyan Xia, Caixia Qi|2021|Cat.Sci.Tech.|11|7982|doi:10.1039/D1CY01458G
DOI: 10.5517/ccdc.csd.cc28g4nk
title: CCDC 2098968: Experimental Crystal Structure Determination

description: Related Article: Sunlin Xu, Dawei Yang, Jinfeng Zhao, Baomin Wang, Jingping Qu|2021|Dalton Trans.|50|18027|doi:10.1039/D1DT03482K
DOI: 10.5517/ccdc.csd.cc28g4pl
title: CCDC 2098969: Experimental Crystal Structure Determination

description: Related Article: Sunlin Xu, Dawei Yang, Jinfeng Zhao, Baomin Wang, Jingping Qu|2021|Dalton Trans.|50|18027|doi:10.1039/D1DT03482K
DOI: 10.34740/kaggle/dsv/2926273
title: 2021 World Population (updated daily)
DOI: 10.48370/ofd/zwu50r/qq5pui
title: HMW_Rumex_aquaticus_L._H_1333.jpg

description: :unav
DOI: 10.48370/ofd/zwu50r
title: Szczaw wodny (Rumex aquaticus L.), 1333

description: Herbarium
DOI: 10.48370/ofd/qsckgf/spoyh2
title: HMW_Rumex_aquaticus_L._H_1326.jpg

description: :unav
DOI: 10.48370/ofd/qsckgf
title: Szczaw wodny (Rumex aquaticus L.), 1326

description: Herbarium
DOI: 10.48370/ofd/v6ibcf/ehqgpq
title: HMW_Rumex_alpinus_L._H_04729.jpg

description: :unav
DOI: 10.48370/ofd/v6ibcf
title: Szczaw alpejski (Rumex alpinus L.), 4729

description: Herbarium
DOI: 10.6084/m9.figshare.14684219.v1
title: Appreciating News Algorithms: Examining Audiences’ Perceptions to Different News Selection Mechanisms

description: As news selection is increasingly controlled by algorithms, a growing number of scholars are exploring how news recommenders can serve public services. Despite aspirations towards public service algorithms, little is known about which type of news recommender people prefer, let alone about a news recommender that aims to promote societal values. This study aims to give insights into audiences’ perceptions to news recommenders and their underlying news selection mechanisms. To do so, we distinguish between three news selection mechanisms, namely between content-based similarity, collaborative similarity and content-based diversity. The first two strive for similarity, respectively between news content and news users, while the third one aims for diversity in the news content consumed. Results of a large-scale survey (<i>n</i> = 943) show that people prefer content-based similarity over collaborative similarity and content-based diversity. Audience characteristics, such as news information overload and concerns towards missing challenging viewpoints, explain how audiences evaluate the different news selection mechanisms. We discuss how these results align with concerns about selectivity and how news algorithms can be used to tackle these concerns. We therefore introduce the concept ‘personalized diversity’ and promote the idea of news recommenders as an individual filter for the growing abundance of online information.
DOI: 10.48370/ofd/u2odp4/t50i4u
title: HMW_Rumex_alpestris_Jacq._H_7517.jpg

description: :unav
DOI: 10.48370/ofd/u2odp4
title: Szczaw górski (Rumex alpestris Jacq.), 7515

description: Herbarium
DOI: 10.48370/ofd/4sghup/lbh7ts
title: HMW_Rumex_alpestris_Jacq._H_4784.jpg

description: :unav
DOI: 10.48370/ofd/4sghup
title: Szczaw górski (Rumex alpestris Jacq.), 4784

description: Herbarium
DOI: 10.48370/ofd/kxylpu/35u60g
title: HMW_Rumex_alpestris_Jacq._H_1979.jpg

description: :unav
DOI: 10.48370/ofd/kxylpu
title: Szczaw górski (Rumex alpestris Jacq.), 1979

description: Herbarium
DOI: 10.48370/ofd/wbphcs/l4bokx
title: HMW_Rumex_acetosella_L._H_5022.jpg

description: :unav
DOI: 10.48370/ofd/wbphcs
title: Szczaw polny (Rumex acetosella L.), 5022

description: Herbarium
DOI: 10.48370/ofd/3rdgsy/qavjkd
title: HMW_Rumex_acetosella_L._H_4235.jpg

description: :unav
DOI: 10.48370/ofd/3rdgsy
title: Szczaw polny (Rumex acetosella L.), 4235

description: Herbarium
DOI: 10.48370/ofd/11rjtz/lhlxp4
title: HMW_Rumex_acetosella_L._H_3806.jpg

description: :unav
DOI: 10.6084/m9.figshare.17197928
title: Inconsistent Retirement Timing

description: AbstractWe study the effect of inconsistent time preferences on actual and planned retirement timing decisions in two independent datasets. Theory predicts that hyperbolic time preferences can lead to dynamically inconsistent retirement timing. In an online experiment with more than 2,000 participants, we find that time-inconsistent participants retire on average 1.75 years earlier than time-consistent participants do. The planned retirement age of non-retired participants decreases with age. This negative age effect is about twice as strong among time-inconsistent participants. The temptation of early retirement seems to rise in the final years of approaching retirement. Consequently, time-inconsistent participants have a higher probability of regretting their retirement decision. We find similar results for a representative household survey (German SAVE panel). Using smoking behavior and overdraft usage as time preference proxies, we confirm that time-inconsistent participants retire earlier and that non-retirees reduce their planned retirement age within the panel.MethodsWe conduct an online experiment in cooperation with a large and well-circulated German newspaper, the Frankfurter Allgemeine Zeitung (FAZ). Participants are recruited via a link on the newspaper's website and two announcements in the print edition. In total, 3,077 participants complete the experiment, which takes them on average 11 minutes. Participants answer questions about retirement planning, time preferences, risk preferences, financial literacy, and demographics. The initial sample for this study consists of 256 retired participants and 2,173 non-retired participants.Usage NotesOur dataset: STATA Do File is attached Additional Datasets: In addition, a German Household Panle is used in this paper. The data cannot be uploaded by us but is available via the Max Planck Institute (https://www.mpisoc.mpg.de/en/social-policy-mea/research/save-2001-2013/). We upload the Do-Files used in the analysis and the results in an excel format (xlsx).<br>
DOI: 10.48370/ofd/11rjtz
title: Szczaw polny (Rumex acetosella L.), 3806

description: Herbarium
DOI: 10.48370/ofd/behwte/8ffpum
title: HMW_Rumex_acetosella_L._H_1716.jpg

description: :unav
DOI: 10.48370/ofd/behwte
title: Szczaw polny (Rumex acetosella L.), 1716

description: Herbarium
DOI: 10.48370/ofd/0z6xie/72syrb
title: HMW_Rumex_acetosella_L._H_2028.jpg

description: :unav
DOI: 10.48370/ofd/0z6xie
title: Szczaw polny (Rumex acetosella L.), 2028

description: Herbarium
DOI: 10.48370/ofd/057xig/e5ibj8
title: HMW_Rumex_acetosella_L._H_1716.jpg

description: :unav
DOI: 10.48370/ofd/057xig
title: Szczaw polny (Rumex acetosella L.), 1716

description: Herbarium
DOI: 10.48370/ofd/tvtz25/5rqcbk
title: HMW_Rumex_acetosella_L._H_0797.jpg

description: :unav
DOI: 10.48370/ofd/tvtz25
title: Szczaw polny (Rumex acetosella L.), 797

description: Herbarium
DOI: 10.48370/ofd/wtcek4/ijnqi0
title: HMW_Rumex_acetosella_L._H_0794.jpg

description: :unav
DOI: 10.48370/ofd/wtcek4
title: Szczaw polny (Rumex acetosella L.), 794

description: Herbarium
DOI: 10.20372/aau_rdr/gjhlju
title: yeruk

description: gedywuieirl
DOI: 10.48370/ofd/qpw7bd/kh9do8
title: HMW_Rumex_acetosa_L._H_9007.jpg

description: :unav
DOI: 10.48370/ofd/qpw7bd
title: Szczaw zwyczajny (Rumex acetosa L.), 9007

description: Herbarium
DOI: 10.48370/ofd/9doiyv/p2gnav
title: HMW_Rumex_acetosa_L._H_8950.jpg

description: :unav
DOI: 10.48370/ofd/9doiyv
title: Szczaw zwyczajny (Rumex acetosa L.), 8950

description: Herbarium
DOI: 10.48370/ofd/nvfk2x/jd4ebj
title: HMW_Rumex_acetosa_L._H_8547.jpg

description: :unav
DOI: 10.48370/ofd/nvfk2x
title: Szczaw zwyczajny (Rumex acetosa L.), 8547

description: Herbarium
DOI: 10.48370/ofd/rn5s96/fsnz7d
title: HMW_Rumex_acetosa_L._H_7664.jpg

description: :unav
DOI: 10.48370/ofd/rn5s96
title: Szczaw zwyczajny (Rumex acetosa L.), 7664

description: Herbarium
DOI: 10.48370/ofd/ddg4on/4stbnq
title: HMW_Rumex_acetosa_L._H_3712.jpg

description: :unav
DOI: 10.48370/ofd/ddg4on
title: Szczaw zwyczajny (Rumex acetosa L.), 3712

description: Herbarium
DOI: 10.48370/ofd/ar2bit/dyhj1n
title: HMW_Rumex_acetosa_L._H_2027.jpg

description: :unav
DOI: 10.48370/ofd/ar2bit
title: Szczaw zwyczajny (Rumex acetosa L.), 2027

description: Herbarium
DOI: 10.5281/zenodo.5779387
title: Erythroxylum roigii SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5779386
title: Erythroxylum roigii SPAdes preassembly

description: .
DOI: 10.17036/researchdata.aston.ac.uk.00000533
title: DATA - A Model of Conflict and Leadership: Is There a Hawkish Drift in Politics?
DOI: 10.48370/ofd/lz5hb7/6ksaun
title: HMW_Rumex_hydrolapathum_Huds._H_4825.jpg

description: :unav
DOI: 10.48370/ofd/lz5hb7
title: Szczaw lancetowaty (Rumex hydrolapathum Huds.), 4825

description: Herbarium
DOI: 10.48370/ofd/nb63yd/lhoax0
title: HMW_Rumex_hydrolapathum_Huds._H_4499.jpg

description: :unav
DOI: 10.48370/ofd/nb63yd
title: Szczaw lancetowaty (Rumex hydrolapathum Huds.), 4499

description: Herbarium
DOI: 10.48370/ofd/x8wg3q/zquvpc
title: HMW_Rumex_hydrolapathum_Huds._H_3821.jpg

description: :unav
DOI: 10.48370/ofd/x8wg3q
title: Szczaw lancetowaty (Rumex hydrolapathum Huds.), 3821

description: Herbarium
DOI: 10.48370/ofd/j5rr73/tykcvo
title: HMW_Rumex_hydrolapathum_Huds._H_3542.jpg

description: :unav
DOI: 10.48370/ofd/j5rr73
title: Szczaw lancetowaty (Rumex hydrolapathum Huds.), 3542

description: Herbarium
DOI: 10.48370/ofd/karsas/2jmwnc
title: HMW_Rumex_hydrolapathum_Huds._H_3096.jpg

description: :unav
DOI: 10.48370/ofd/karsas
title: Szczaw lancetowaty (Rumex hydrolapathum Huds.), 3096

description: Herbarium
DOI: 10.48370/ofd/lehmrn/zuldeu
title: HMW_Rumex_hydrolapathum_Huds._H_0911.jpg

description: :unav
DOI: 10.48370/ofd/lehmrn
title: Szczaw lancetowaty (Rumex hydrolapathum Huds.), 911

description: Herbarium
DOI: 10.22008/fk2/9av6kb/xlwfdf
title: G100_Pingu_69V2_ N_400dpi.tif

description: :unav
DOI: 10.22008/fk2/9av6kb/ftrykc
title: G100_Pingu_69V2_ N_400dpi.pdf

description: :unav
DOI: 10.20372/aau_rdr/dvtzjl/5si4rb
title: The National Archives and Library of Ethiopia- six years of Ethio-French cooperation (2001-2006).pdf

description: :unav
DOI: 10.20372/aau_rdr/dvtzjl
title: accountingcovid

description: dfrf
DOI: 10.5281/zenodo.5779444
title: Dataset - Ghost Image Processing

description: Dataset to accompany the paper titled: Ghost Image Processing. (to be submitted) Files in .txt format with '_ReadMe.txt' providing context.
DOI: 10.5281/zenodo.5779443
title: Dataset - Ghost Image Processing

description: Dataset to accompany the paper titled: Ghost Image Processing. (to be submitted) Files in .txt format with '_ReadMe.txt' providing context.
DOI: 10.15468/fs66yu
title: First report of a bothremydid turtle, Sindhochelys ragei n. gen., n. sp., from the early Paleocene of Pakistan, systematic and palaeobiogeographic implications

description: This dataset contains the digitized treatments in Plazi based on the original journal article Métais, Grégoire, Bartolini, Annachiara, Brohi, Imdad Ali, Lashari, Rafiq A., Marivaux, Laurent, Merle, Didier, Warar, Mashooque Ali, Solangi, Sarfraz H. (2021): First report of a bothremydid turtle, Sindhochelys ragei n. gen., n. sp., from the early Paleocene of Pakistan, systematic and palaeobiogeographic implications. Geodiversitas 43 (25): 1341-1363, DOI: 10.5252/geodiversitas2021v43a25
DOI: 10.3886/e155961v1
title: “What Counts” as Research?

description: This dataset accompanies a paper entitled, "'What Counts as Research? Comparing Policy Guidelines to the Evidence Education Leaders Report as Useful" and is part of a larger study of knowledge utilization among school and district leaders in the US. The complete dataset for the survey portion of that study can be found at: https://www.openicpsr.org/openicpsr/project/115824/version/V1/view. <br><br>This dataset includes responses to an open-ended item included on that survey that that asked respondents to name a particular piece of research that they found useful in their work, providing as much information as possible so that we could locate it ourselves (i.e., title, author, year published, and topic), as well as why they found it useful. Data on survey piloting and validation activities for the survey, which involved extensive cognitive piloting of the survey instrument with leaders in different role groups are described in Author et al. (Penuel et al., 2016, 2017).<br><br>The dataset also includes the coding of the data used in the article.<br><br><br>Penuel, W. R., Briggs, D. C., Davidson, K. L., Herlihy, C., Sherer, D., Hill, H. C., Farrell, C. C., & Allen, A.-R. (2016). Findings from a national survey of research use among school and district leaders. National Center for Research in Policy and Practice. <br>Penuel, W. R., Briggs, D. C., Davidson, K. L., Herlihy, C., Sherer, D., Hill, H. C., Farrell, C. C., & Allen, A.-R. (2017). How school and district leaders access, perceive, and use research. AERA Open, 3(2), 1-17. https://doi.org/10.1177/2332858417705370 <br>
description: Response Rates: 51.5%
description: See: Penuel, W. R., Briggs, D. C., Davidson, K. L., Herlihy, C., Sherer, D., Hill, H. C., Farrell, C. C., & Allen, A.-R. (2016). Findings from a national survey of research use among school and district leaders. National Center for Research in Policy and Practice.
description: Our target population for survey respondents was instructional policymakers from mid- and large-size U.S. urban districts who were likely to be involved in K–8 instructional decision making.
DOI: 10.34740/kaggle/dsv/2926508
title: COVID Vaccination in World (updated daily)
DOI: 10.3886/e124681
title: Supplementary materials for report “Shining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-Related Innovations in Ethiopia”

description: The report presents an unprecedented stocktaking of all CGIAR-related innovations in a given country as well as new estimates of adoption of those innovations from a nationally representative dataset generated through a partnership among the Ethiopian Central Statistics Agency (CSA), the World Bank Living Standards Measurement Study (LSMS) team, and the CGIAR Standing Panel on Impact Assessment (SPIA). Ethiopia was chosen for this exercise because it is a hotspot of CGIAR research, with almost all the CGIAR centers represented in Addis Ababa. <br> <br>The report documents the reach of CGIAR-related agricultural innovations in a comprehensive manner across the core domains of CGIAR research activity: animal agriculture; crop germplasm improvement; natural resource management; and policy research. In order to identify the right innovations to collect data on, SPIA conducted more than 90 interviews with CGIAR research leaders, scientists, government officials, and colleagues from the Ethiopian Institute for Agricultural Research (EIAR), all the while compiling documented evidence to support claims made by these key informants. The output of that work is a stocktaking of 52 agricultural innovations and 26 claims of policy influence.<br><br>Quantitative evidence on the adoption of 18 of these innovations was obtained through the incorporation of measurements of the reach of these innovations in the Ethiopian Socioeconomic Survey (ESS), a regionally and nationally representative panel survey of households. We report some data from the third wave (ESS3, carried out in 2015/16), but our major focus is on ESS4 (2018/19). The 2018/19 ESS (ESS4) datasets can be downloaded at: https://microdata.worldbank.org/index.php/catalog/3823
DOI: 10.3886/e124681v10
title: Supplementary materials for report “Shining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-Related Innovations in Ethiopia”

description: The report presents an unprecedented stocktaking of all CGIAR-related innovations in a given country as well as new estimates of adoption of those innovations from a nationally representative dataset generated through a partnership among the Ethiopian Central Statistics Agency (CSA), the World Bank Living Standards Measurement Study (LSMS) team, and the CGIAR Standing Panel on Impact Assessment (SPIA). Ethiopia was chosen for this exercise because it is a hotspot of CGIAR research, with almost all the CGIAR centers represented in Addis Ababa. <br> <br>The report documents the reach of CGIAR-related agricultural innovations in a comprehensive manner across the core domains of CGIAR research activity: animal agriculture; crop germplasm improvement; natural resource management; and policy research. In order to identify the right innovations to collect data on, SPIA conducted more than 90 interviews with CGIAR research leaders, scientists, government officials, and colleagues from the Ethiopian Institute for Agricultural Research (EIAR), all the while compiling documented evidence to support claims made by these key informants. The output of that work is a stocktaking of 52 agricultural innovations and 26 claims of policy influence.<br><br>Quantitative evidence on the adoption of 18 of these innovations was obtained through the incorporation of measurements of the reach of these innovations in the Ethiopian Socioeconomic Survey (ESS), a regionally and nationally representative panel survey of households. We report some data from the third wave (ESS3, carried out in 2015/16), but our major focus is on ESS4 (2018/19). The 2018/19 ESS (ESS4) datasets can be downloaded at: https://microdata.worldbank.org/index.php/catalog/3823
DOI: 10.24417/bmdc.be:dataset:944
title: Dynamics of coastal eutrophicated ecosystems (IPMS-PHAEO) (IMPULSE)

description: Missing