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Publication Year: 2022

41 to 50 of 19,801 Results

2020 British Columbia Election Study Oct 10, 2024 - Consortium on Electoral Democracy (C-Dem) Pickup, Mark; Stephenson, Laura B; Harell, Allison, 2022, "2020 British Columbia Election Study", https://doi.org/10.7910/DVN/NXESNA, Harvard Dataverse, V3, UNF:6:cMe6Gr/QFp+MBJffkatBtA== [fileUNF] This election study survey is based upon questions asked in the Canadian Election Study, but tailored for the British Columbia context. It was conducted by the Consortium on Electoral Democracy (C-Dem).
Replication Data for: Efeitos da pandemia sobre o abandono escolar Oct 8, 2024 Adonai José Lacruz; Fagner Carniel; Christiele Martins da Silva Pezzin; Katarina Rosa Lemos, 2022, "Replication Data for: Efeitos da pandemia sobre o abandono escolar", https://doi.org/10.7910/DVN/LUYYGJ, Harvard Dataverse, V3, UNF:6:EvLzVM3Br6UJIt1rJ3b6vw== [fileUNF] Journal: Navus (2024) R script Dataset 2015-2022 Conference: B-Tech Congress (2022) R script Dataset 2015-2021
道徳副読本と教科書に掲載された小・中学校の教材に関する書誌情報. Dataset of bibliographic information on teaching materials published in elementary and junior high dōtoku textbooks and coursebooks. Sep 25, 2024 Bamkin, Sam, 2022, "道徳副読本と教科書に掲載された小・中学校の教材に関する書誌情報. Dataset of bibliographic information on teaching materials published in elementary and junior high dōtoku textbooks and coursebooks.", https://doi.org/10.7910/DVN/TPLOWR, Harvard Dataverse, V4 本データーセットは、平成初期から2024年までに出版された道徳副読本や教科書に掲載された教材の書誌情報をまとめる。このデータベースは，教科書のより包括的な分析をサポートするための基礎となる。 2017，2018年に道徳の教科書が文部科学省の審査の対象となった当時の傾向変化の方向性と速度について，また，教科書の起源，継続，革新の問題に焦点をあてる。そのうえで，教科書出版社の編集過程に影響する他の利害関係者の役割に関する研究の一助となることを期待する。 v3は、東京書籍、光村図書出版、日本文教出版、GAKKEN、教育出版、光文書院に関するデータを含める。v4は二通項目を削除するような軽微で修正したものだ。 This dataset compiles bibliographic informati...
UK House of Commons Election Results at Candidate Level Sep 23, 2024 Umit, Resul, 2022, "UK House of Commons Election Results at Candidate Level", https://doi.org/10.7910/DVN/S83HOA, Harvard Dataverse, V11, UNF:6:SAgPt7OIjagNn6WvsyNkXA== [fileUNF] Candidate-level general election results for the UK House of Commons, between 1832 and 2024.
Concordance table of quotations for: A sacrament of intellectual self-gratification: Giorgio Agamben swearing an oath of his own state of exception Sep 13, 2024 DOJA, Albert, 2022, "Concordance table of quotations for: A sacrament of intellectual self-gratification: Giorgio Agamben swearing an oath of his own state of exception", https://doi.org/10.7910/DVN/TMR7OR, Harvard Dataverse, V4 A series of concordances of Agamben’s statements on faith, oath, fides, credo, religio, belief, and a series of discrepancies of Agamben's statements on speech acts (in Agamben 2008 [2011]), all series compared to related statements published a decade earlier (in Doja 2000).
Replication Data for: The Effects of Polarized Evaluations on Political Participation: Does Hating the Other Side Motivate Voters? Sep 12, 2024 Ahn, Chloe; Diana C. Mutz, 2022, "Replication Data for: The Effects of Polarized Evaluations on Political Participation: Does Hating the Other Side Motivate Voters?", https://doi.org/10.7910/DVN/B0LOWZ, Harvard Dataverse, V4, UNF:6:GKfAHNqinxwGOS+d9WtkKw== [fileUNF] These files include the panel data and a Stata do file necessary to replicate the results in "The Effects of Polarized Evaluations on Political Participation: Does Hating the Other Side Motivate Voters?" by Chloe Ahn and Diana C. Mutz, accepted in Public Opinion Quarterly.
Rocks Sep 10, 2024 - I N T E R W X R rbr plywood, 2022, "Rocks", https://doi.org/10.7910/DVN/PCIZWU, Harvard Dataverse, V37 Rocks made of the culture crust that grows on city poles. Studies of worldbuilding from culture directly. WE CAN BUILD A NEW WORLD FROM CULTURE ITSELF. Seattle, Washington.
47-Prefecture Redistricting Simulations Sep 3, 2024 - Algorithm-Assisted Redistricting Methodology (ALARM) Project Miyazaki, Sho; Yamada, Kento; Yatsuhashi, Rei; Imai, Kosuke, 2022, "47-Prefecture Redistricting Simulations", https://doi.org/10.7910/DVN/Z9UKSH, Harvard Dataverse, V3, UNF:6:p19IftGnCWCsP62d33rkSQ== [fileUNF] The goal of the 47-Prefecture Simulation Project is to generate and analyze redistricting plans for the single-member districts of the House of Representatives of Japan using a redistricting simulation algorithm. In this project, we analyzed the partisan bias of the 2022 redistricting for 25 prefectures subject to redistricting. Our simulations are...
Data augmentation for disruption prediction via robust surrogate models Aug 31, 2024 - Plasma Science and Fusion Center Dataverse Katharina Rath, David Rügamer, Bernd Bischl, Udo von Toussaint, Cristina Rea, Andrew Maris, Robert Granetz, Christopher G. Albert, 2022, "Data augmentation for disruption prediction via robust surrogate models", https://doi.org/10.7910/DVN/FMJCAD, Harvard Dataverse, V2 The goal of this work is to generate large statistically representative datasets to train machine learning models for disruption prediction provided by data from few existing discharges. Such a comprehensive training database is important to achieve satisfying and reliable prediction results in artificial neural network classifiers. Here, we aim fo...
Exploring Smallholder Farmers’ Willingness to Pay for Mechanization in Tanzania: The Case of Maize Shelling Machines Aug 22, 2024 - Africa RISING Dataverse International Institute of Tropical Agriculture (IITA), 2022, "Exploring Smallholder Farmers’ Willingness to Pay for Mechanization in Tanzania: The Case of Maize Shelling Machines", https://doi.org/10.7910/DVN/13YBCW, Harvard Dataverse, V2, UNF:6:maVmAVikWWBOU0Wa5hQ9LA== [fileUNF] This dataset is generated from the research study conducted to understand the willingness to pay (WTP) for small-scale maize shelling machines and to identify factors affecting the willingness to pay among farmers. The study was conducted in three districts in central and northern Tanzania (Kongwa, Kiteto, and Manyara districts). About 400 househol...

2020 British Columbia Election Study

Oct 10, 2024 - Consortium on Electoral Democracy (C-Dem)

Pickup, Mark; Stephenson, Laura B; Harell, Allison, 2022, "2020 British Columbia Election Study", https://doi.org/10.7910/DVN/NXESNA, Harvard Dataverse, V3, UNF:6:cMe6Gr/QFp+MBJffkatBtA== [fileUNF]

This election study survey is based upon questions asked in the Canadian Election Study, but tailored for the British Columbia context. It was conducted by the Consortium on Electoral Democracy (C-Dem).

Replication Data for: Efeitos da pandemia sobre o abandono escolar

Oct 8, 2024

Adonai José Lacruz; Fagner Carniel; Christiele Martins da Silva Pezzin; Katarina Rosa Lemos, 2022, "Replication Data for: Efeitos da pandemia sobre o abandono escolar", https://doi.org/10.7910/DVN/LUYYGJ, Harvard Dataverse, V3, UNF:6:EvLzVM3Br6UJIt1rJ3b6vw== [fileUNF]

Journal: Navus (2024) *R script *Dataset 2015-2022 Conference: B-Tech Congress (2022) *R script *Dataset 2015-2021

道徳副読本と教科書に掲載された小・中学校の教材に関する書誌情報. Dataset of bibliographic information on teaching materials published in elementary and junior high dōtoku textbooks and coursebooks.

Sep 25, 2024

Bamkin, Sam, 2022, "道徳副読本と教科書に掲載された小・中学校の教材に関する書誌情報. Dataset of bibliographic information on teaching materials published in elementary and junior high dōtoku textbooks and coursebooks.", https://doi.org/10.7910/DVN/TPLOWR, Harvard Dataverse, V4

本データーセットは、平成初期から2024年までに出版された道徳副読本や教科書に掲載された教材の書誌情報をまとめる。このデータベースは，教科書のより包括的な分析をサポートするための基礎となる。 2017，2018年に道徳の教科書が文部科学省の審査の対象となった当時の傾向変化の方向性と速度について，また，教科書の起源，継続，革新の問題に焦点をあてる。そのうえで，教科書出版社の編集過程に影響する他の利害関係者の役割に関する研究の一助となることを期待する。 v3は、東京書籍、光村図書出版、日本文教出版、GAKKEN、教育出版、光文書院に関するデータを含める。v4は二通項目を削除するような軽微で修正したものだ。 This dataset compiles bibliographic informati...

UK House of Commons Election Results at Candidate Level

Sep 23, 2024

Umit, Resul, 2022, "UK House of Commons Election Results at Candidate Level", https://doi.org/10.7910/DVN/S83HOA, Harvard Dataverse, V11, UNF:6:SAgPt7OIjagNn6WvsyNkXA== [fileUNF]

Candidate-level general election results for the UK House of Commons, between 1832 and 2024.

Concordance table of quotations for: A sacrament of intellectual self-gratification: Giorgio Agamben swearing an oath of his own state of exception

Sep 13, 2024

DOJA, Albert, 2022, "Concordance table of quotations for: A sacrament of intellectual self-gratification: Giorgio Agamben swearing an oath of his own state of exception", https://doi.org/10.7910/DVN/TMR7OR, Harvard Dataverse, V4

A series of concordances of Agamben’s statements on faith, oath, fides, credo, religio, belief, and a series of discrepancies of Agamben's statements on speech acts (in Agamben 2008 [2011]), all series compared to related statements published a decade earlier (in Doja 2000).

Replication Data for: The Effects of Polarized Evaluations on Political Participation: Does Hating the Other Side Motivate Voters?

Sep 12, 2024

Ahn, Chloe; Diana C. Mutz, 2022, "Replication Data for: The Effects of Polarized Evaluations on Political Participation: Does Hating the Other Side Motivate Voters?", https://doi.org/10.7910/DVN/B0LOWZ, Harvard Dataverse, V4, UNF:6:GKfAHNqinxwGOS+d9WtkKw== [fileUNF]

These files include the panel data and a Stata do file necessary to replicate the results in "The Effects of Polarized Evaluations on Political Participation: Does Hating the Other Side Motivate Voters?" by Chloe Ahn and Diana C. Mutz, accepted in Public Opinion Quarterly.

Rocks

Sep 10, 2024 - I N T E R W X R

rbr plywood, 2022, "Rocks", https://doi.org/10.7910/DVN/PCIZWU, Harvard Dataverse, V37

Rocks made of the culture crust that grows on city poles. Studies of worldbuilding from culture directly. WE CAN BUILD A NEW WORLD FROM CULTURE ITSELF. Seattle, Washington.

47-Prefecture Redistricting Simulations

Sep 3, 2024 - Algorithm-Assisted Redistricting Methodology (ALARM) Project

Miyazaki, Sho; Yamada, Kento; Yatsuhashi, Rei; Imai, Kosuke, 2022, "47-Prefecture Redistricting Simulations", https://doi.org/10.7910/DVN/Z9UKSH, Harvard Dataverse, V3, UNF:6:p19IftGnCWCsP62d33rkSQ== [fileUNF]

The goal of the 47-Prefecture Simulation Project is to generate and analyze redistricting plans for the single-member districts of the House of Representatives of Japan using a redistricting simulation algorithm. In this project, we analyzed the partisan bias of the 2022 redistricting for 25 prefectures subject to redistricting. Our simulations are...

Data augmentation for disruption prediction via robust surrogate models

Aug 31, 2024 - Plasma Science and Fusion Center Dataverse

Katharina Rath, David Rügamer, Bernd Bischl, Udo von Toussaint, Cristina Rea, Andrew Maris, Robert Granetz, Christopher G. Albert, 2022, "Data augmentation for disruption prediction via robust surrogate models", https://doi.org/10.7910/DVN/FMJCAD, Harvard Dataverse, V2

The goal of this work is to generate large statistically representative datasets to train machine learning models for disruption prediction provided by data from few existing discharges. Such a comprehensive training database is important to achieve satisfying and reliable prediction results in artificial neural network classifiers. Here, we aim fo...

Exploring Smallholder Farmers’ Willingness to Pay for Mechanization in Tanzania: The Case of Maize Shelling Machines

Aug 22, 2024 - Africa RISING Dataverse

International Institute of Tropical Agriculture (IITA), 2022, "Exploring Smallholder Farmers’ Willingness to Pay for Mechanization in Tanzania: The Case of Maize Shelling Machines", https://doi.org/10.7910/DVN/13YBCW, Harvard Dataverse, V2, UNF:6:maVmAVikWWBOU0Wa5hQ9LA== [fileUNF]

This dataset is generated from the research study conducted to understand the willingness to pay (WTP) for small-scale maize shelling machines and to identify factors affecting the willingness to pay among farmers. The study was conducted in three districts in central and northern Tanzania (Kongwa, Kiteto, and Manyara districts). About 400 househol...

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