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Jan 14, 2020 - CHAMPS Dataverse
Child Health and Mortality Prevention Surveillance, 2019, "CHAMPS De-identified Dataset, v3.0", https://doi.org/10.15139/S3/GKH2QD, UNC Dataverse, V3, UNF:6:gUANHM0V3Ib3YHHtQVgxaA== [fileUNF]
(rev. 2019-05-01) Request dataset here: https://champshealth.org/data-access/ Version 3 of the standard, de-identified CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. The rules to...
Jan 14, 2020 - CHAMPS Dataverse
Child Health and Mortality Prevention Surveillance, 2019, "CHAMPS Limited Dataset, v3.0", https://doi.org/10.15139/S3/PMAAWG, UNC Dataverse, V2, UNF:6:gUANHM0V3Ib3YHHtQVgxaA== [fileUNF]
Request dataset here: https://champshealth.org/data-access/ Version 3 of the standard, limited CHAMPS dataset included these files: case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results. The rules to determine Immediate Caus...
Jan 10, 2020 - World Vision 14-Country Evaluation Dataverse
The Water Institute at UNC; World Vision Inc., 2020, "Healthcare Facilities Deidentified Survey Data", https://doi.org/10.15139/S3/L6J30J, UNC Dataverse, V1, UNF:6:rsoNVg26VMdKiB/I5tyV8g== [fileUNF]
This data was generated from a 14-country evaluation of rural outpatient healthcare facilities, and describes water service, sanitation facilities, hygiene facilities, healthcare waste management, administration and training, and satisfaction with services. The evaluation was con...
Jan 10, 2020 - World Vision 14-Country Evaluation Dataverse
The Water Institute at UNC; World Vision Inc., 2020, "Schools Deidentified Survey Data", https://doi.org/10.15139/S3/NHCTI2, UNC Dataverse, V1, UNF:6:vgI8k9MWfDs1394xAHOUoA== [fileUNF]
This data was generated from a 14-country evaluation of rural schools, and describes water service, sanitation facilities, hygiene facilities and practices, waste management, school management, and satisfaction with services. The evaluation was conducted in World Vision WaSH prog...
Jan 10, 2020 - World Vision 14-Country Evaluation Dataverse
The Water Institute at UNC; World Vision Inc., 2020, "Water Point and Community Deidentified Survey Data", https://doi.org/10.15139/S3/J3IVUG, UNC Dataverse, V1, UNF:6:TFsiu1aYsb3kh04eEWq4tA== [fileUNF]
This data was generated from a 14-country evaluation of rural water points and describes water service, water quality, and characteristics of the communities where water points are located. The evaluation was conducted in World Vision WaSH program areas, as well as comparison are...
Jan 10, 2020 - World Vision 14-Country Evaluation Dataverse
The Water Institute at UNC; World Vision Inc., 2020, "Household Deidentified Survey Data", https://doi.org/10.15139/S3/XALHIY, UNC Dataverse, V1, UNF:6:z6GQnWb8hzIT0P9jXAEi3A== [fileUNF]
This data was generated from a 14-country evaluation of rural households, and describes household characteristics, water service and use; sanitation behaviors and facilities; hygiene behaviors and facilities; and cleanliness. The evaluation was conducted in World Vision WaSH prog...
World Vision 14-Country Evaluation Dataverse(University of North Carolina at Chapel Hill)
Jan 10, 2020The Water Institute at UNC Dataverse
This dataverse contains data from households, communities/water points, schools, and healthcare facilities, collected in a 14-country evaluation of World Vision's water, sanitation, and hygiene (WaSH) programs. This includes data from rural sub-national areas of Ethiopia, Ghana,...
Jan 5, 2020 - Jaeger lab Dataverse
Jaeger, Dieter, 2020, "A general method to generate artificial spike train populations matching recorded neurons", https://doi.org/10.15139/S3/8ILYHZ, UNC Dataverse, V1
We developed a general method to generate populations of artificial spike trains (ASTs) that match the statistics of recorded neurons. The method is based on computing a Gaussian local rate function of the recorded spike trains, which results in rate templates from which ASTs are...
Jaeger lab Dataverse(Emory University)
Jan 5, 2020Emory Dataverse
Dec 19, 2019
Christian, Thu-Mai; Gooch, Amanda, 2019, "Increasing the Value of Open Access Through Open Data Publication Policies", https://doi.org/10.15139/S3/DKOUDY, UNC Dataverse, V2, UNF:6:3/hR+nTezLEVWHHfVhqxhg== [fileUNF]
While some scholarly journals have demonstrated their commitment to research transparency and openness by issuing data policies that require authors to make their data available for validation and extension of published findings, many of these policies lack a mechanism for data r...
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