Yale Dataverse

Metrics

80,577 Downloads

Share, find, and cite research data produced at Yale University.

Yale Dataverse is a data repository service for Yale University faculty, staff, students, and affiliates to share, preserve, and cite research data. Yale Library hosts and manages Yale Dataverse to ensure research produced at Yale is accessible and discoverable to the global community.

Yale Dataverse Terms of Use

Human Language Dynamics (Bowern Lab) Dataverse

Yale Economic Growth Center Dataverse

Yale Law School Dataverse

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

30,691 to 30,700 of 30,745 Results

6.pdf Jan 2, 2024 - Reel 1503: Cipher letters. Siena, Archivio di Stato, Lettere Cifrate. Adobe PDF - 559.1 KB - MD5: cbdc4643d4cb285d4d1712a1b4ee47a2
7.pdf Jan 2, 2024 - Reel 1503: Cipher letters. Siena, Archivio di Stato, Lettere Cifrate. Adobe PDF - 685.0 KB - MD5: e6d66fef7cf7e085cd9b8f132700e230
8.pdf Jan 2, 2024 - Reel 1503: Cipher letters. Siena, Archivio di Stato, Lettere Cifrate. Adobe PDF - 672.4 KB - MD5: b7041e5fbe97e2971d743c8a06dda7de
9.pdf Jan 2, 2024 - Reel 1503: Cipher letters. Siena, Archivio di Stato, Lettere Cifrate. Adobe PDF - 664.0 KB - MD5: 7176481c77e1356558bc5fc2aca908e4
Increasing Women’s Engagement with Mobile Technology Dec 14, 2023 - Yale Economic Growth Center Dataverse Barboni, Giorgia; Field, Erica; Pande, Rohini; Rigol, Natalia; Schaner, Simone; Troyer Moore, Charity, 2023, "Increasing Women’s Engagement with Mobile Technology", https://doi.org/10.60600/YU/TT4HUB, Yale Dataverse, V2, UNF:6:Xy6n+D0OOMJsaNk3Zgvx4Q== [fileUNF] This dataset comes from the final follow-up survey that was conducted as part of a study that aims to understand the sources of India’s digital gender gap and identify potential solutions. *** Note for users *** 1. There are a total of 5 files that are relevant to this dataset. Please download the full packet (data and documentation) for the be...
1.1 follow_up.tab Dec 14, 2023 - Increasing Women’s Engagement with Mobile Technology Tabular Data - 3.1 MB - 247 Variables, 6682 Observations - UNF:6:Xy6n+D0OOMJsaNk3Zgvx4Q== Data
Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits? Dec 14, 2023 - Yale Economic Growth Center Dataverse Barboni, Giorgia; Field, Erica; Pande, Rohini; Rigol, Natalia; Schaner, Simone; Troyer Moore, Charity, 2023, "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?", https://doi.org/10.60600/YU/ZGKZJA, Yale Dataverse, V2, UNF:6:jf5bZ1GmGu64pcv61eYsCw== [fileUNF] This data was collected with support from J-PAL's Cash Transfers for Child Health (CaTCH) initiative with the aim to understand if mobile phones can improve women's awareness and take-up of maternity benefits. The data collected also is part of a larger study focused on understanding constraints to women's mobile phone use and how to close India’s...
1.1 wave1.tab Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits? Tabular Data - 767.9 KB - 184 Variables, 3483 Observations - UNF:6:BpukhFyy326AMSOj8IYPog== Datawave1 This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP].
1.2 wave2.tab Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits? Tabular Data - 952.9 KB - 72 Variables, 3435 Observations - UNF:6:xYeHvLIV7x+GrADnJyNCmQ== Datawave2 This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP].
1.3 wave3.tab Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits? Tabular Data - 849.0 KB - 102 Variables, 3389 Observations - UNF:6:kerY5ZqHDAC2GS3t+5c70w== Datawave3 This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP].

6.pdf

Jan 2, 2024 - Reel 1503: Cipher letters. Siena, Archivio di Stato, Lettere Cifrate.

Adobe PDF - 559.1 KB -

7.pdf

Jan 2, 2024 - Reel 1503: Cipher letters. Siena, Archivio di Stato, Lettere Cifrate.

Adobe PDF - 685.0 KB -

8.pdf

Jan 2, 2024 - Reel 1503: Cipher letters. Siena, Archivio di Stato, Lettere Cifrate.

Adobe PDF - 672.4 KB -

9.pdf

Jan 2, 2024 - Reel 1503: Cipher letters. Siena, Archivio di Stato, Lettere Cifrate.

Adobe PDF - 664.0 KB -

Increasing Women’s Engagement with Mobile Technology

Dec 14, 2023 - Yale Economic Growth Center Dataverse

Barboni, Giorgia; Field, Erica; Pande, Rohini; Rigol, Natalia; Schaner, Simone; Troyer Moore, Charity, 2023, "Increasing Women’s Engagement with Mobile Technology", https://doi.org/10.60600/YU/TT4HUB, Yale Dataverse, V2, UNF:6:Xy6n+D0OOMJsaNk3Zgvx4Q== [fileUNF]

This dataset comes from the final follow-up survey that was conducted as part of a study that aims to understand the sources of India’s digital gender gap and identify potential solutions. ***** Note for users ***** 1. There are a total of 5 files that are relevant to this dataset. Please download the full packet (data and documentation) for the be...

1.1 follow_up.tab

Dec 14, 2023 - Increasing Women’s Engagement with Mobile Technology

Tabular Data - 3.1 MB - 247 Variables, 6682 Observations -

Data

Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?

Dec 14, 2023 - Yale Economic Growth Center Dataverse

Barboni, Giorgia; Field, Erica; Pande, Rohini; Rigol, Natalia; Schaner, Simone; Troyer Moore, Charity, 2023, "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?", https://doi.org/10.60600/YU/ZGKZJA, Yale Dataverse, V2, UNF:6:jf5bZ1GmGu64pcv61eYsCw== [fileUNF]

This data was collected with support from J-PAL's Cash Transfers for Child Health (CaTCH) initiative with the aim to understand if mobile phones can improve women's awareness and take-up of maternity benefits. The data collected also is part of a larger study focused on understanding constraints to women's mobile phone use and how to close India’s...

1.1 wave1.tab

Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?

Tabular Data - 767.9 KB - 184 Variables, 3483 Observations -

Datawave1

This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP].

1.2 wave2.tab

Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?

Tabular Data - 952.9 KB - 72 Variables, 3435 Observations -

Datawave2

1.3 wave3.tab

Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?

Tabular Data - 849.0 KB - 102 Variables, 3389 Observations -

Datawave3

Add Data

Share Dataverse

Link Dataverse

Reset Modifications