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Nov 13, 2023
Yeh, Emily T.. 2019. "Data for: Pastoralist decision-making on the Tibetan plateau". Qualitative Data Repository. https://doi.org/10.5064/F6WACFVR. QDR Main Collection. V2
This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the publisher's website. You will need to use the Chrome browser with the Hypothesis extension installed to view the ATI annotations Data Generation & Analysis This article is one of six resulting from an interdisciplinary, collaborative NSF-fun...
Plain Text - 2.7 KB - SHA512: 8d03c02a625e315882dea5b2af51d8c9bdf79c567fcb5846509275bd744bf5d9ae32d6e2c69cfc0e72dc8340078aff1c3a30692cdbbd5b1c4b966a90670fbe0f
Documentation
Adobe PDF - 304.4 KB - SHA512: b4afc9729ae06e3b1350bb06be7aa5cd12c0a7f3064b832d4f4fbd5bb94ab19a698f04144c37e3c596798fcd8c44dff10d954f387a7a31c06060d9eaa4b691da
Documentation
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Data
Tabular Data - 1.9 KB - 10 Variables, 17 Observations - UNF:6:1fpFexIOXtVRU1hLfNbRCw==
Data
Adobe PDF - 6.7 MB - SHA512: 95cadecb9cfee14d6bbfe51487911f110771a6bd062e7b061f68609bb3175b17170c5b6b2ff4350d28d0db79a9c25e72acc49c388ceedb034ec0e25db658ac4d
Data
Adobe PDF - 391.5 KB - SHA512: b01de8da91237945dd70c6932d2fa00803d367eec918a5993cfa0ed2f8864c9e4678dadf1f3e134a22eb4e87d3df7e63acfd9422fcd033c9efee7c5b2b36c064
Data
Adobe PDF - 315.5 KB - SHA512: fc0433a14f661e31638c8236e6a4740c3fe1f269761a15477b98213a58508bcef250ad9d6a7c5c63e8dd68d21f28fcd88288b600a1c3fead44c6f33e46badf87
Data
JPEG Image - 3.0 MB - SHA512: 8a01e94c9c8d74a6f7a8bc4474252fd66d653cf041bec11318d9c78437571afef1484a0a64ce857300d71ed20c39e6cc5889869b6690a962d4038174273b3368
Data
Nov 13, 2023
Rinkus, Marisa A.. 2019. "Data for: “Ninguém me chama” - “Nobody asked me”: Gendered patterns of participation in sea turtle conservation in Northeast Brazil". Qualitative Data Repository. https://doi.org/10.5064/F6SGXPOS. QDR Main Collection. V2
This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the publisher's website. You will need to use the Chrome browser with the Hypothesis extension installed to view the ATI annotations Data Overview This manuscript employs a mixed methods approach to identifying gendered characteristics related t...
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