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jethiele@umich.edu
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- Creator:
- Kort, Eric and Plant, Genevieve
- Description:
- Insert description here
- Keyword:
- Iowa, soil, agriculture, and greenhouse gases
- Discipline:
- Science
3Works -
Mali flora images
User Collection
- Creator:
- Heath, Jeffrey G.
- Description:
- These images of plants, in nature or as fresh or dried specimens, were made in conjunction with research on languages of the Dogon and Bozo families, along with the isolated language Bangime, in Central Mali between 2006 and 2023. (See also the work "Dogon and Bangime flora terms from central Mali (2023)" in Deep Blue Data: https://doi.org/10.7302/34vf-jk03. The late Pierre Poilecot of CNRS (Montpellier, France) provided invaluable help in the early days. However, I am responsible for the determinations (including taxonomic updates), and I am not a professional botanist. The images range from poor to excellent technical quality. They may be of use for two purposes: a) acquiring a basic knowledge of the flora of the area, for newcomers; b) as vouchers for the determinations in my lexical spreadsheets on the various languages. While the main burst of taxonomic changes due to molecular studies has probably leveled off as of 2023, some revisions at all levels (family, genus, species) will occur over time. The African Flowering Plant Database at url https://africanplantdatabase.ch is especially useful for updates/synonymies at the species level, but tends to lag behind on revisions at the family level., Each "work" for flowering plants in this collection has the title "Mali flora images X" where X is the name of a botanical family. Users who enter at the collection level should search by family (from Acanthacaceae to Zypɣophyllaceae). Large families Poaceae, Malvaceae, and Fabaceae are divided into two or more works, but they will all show up in search results for the family. There is one work for non-flowering plants with title "Mali aa fern fungus lichen images"., Within each work, the individual images have file names like these: fl_Amaranthaceae_Celosia_trigyna_Beni_10_2011_fl_50035_JH.JPG fl_Lamiaceae_Hoslundia_opposita_Barato_09_2021_piripirinaw_03_fol_fr_JH.JPG fl_Zygophyllaceae_Tribulus_terrestris_Sevare_patch_50672_JH.tif fl_Fabaceae_Caesalpinioideae_mimosoid_Vachellia_(or_Acacia)_nilotica fuwON_1_Barato_09_2021_entire_JH.JPG They begin with "fl" for flora, the family, the genus, and the species epithet. For Fabaceae, the subfamily and if relevant "mimosoid" (part of subfamily Caesalpinioideae) precedes the genus. These items are separated by underlines (important to note if searching for a genus-species binomial). The remaining items were mostly for my own use. They may include a location (on which see the following paragraph), the date, a crude representation (without IPA symbols or diacritics) of a native name, a five-digit code for my use, a photo number like "2" for the same plant, "JH" to indicate that the image was taken by me or by a member of a project I directed, jpg or occasionally tif for forrmat, and an indicator of what part of the plant is shown: entire, bark, fl[ower], fol[iage], lf (leaf), fr[uit], tr[unk], br[anch], th[orn]. File names can be quite long especially for Fabaceae because of the subfamily names. In lists of files under such works, the file name may be shown in abbreviated form (with ellipsis ...) so that the genus and species terms may not be visible. The only way to find files for a particular species is by searching for that species. Alternatively, all of the files in a work can be downloaded in zip form and users can then see complete file names. The readme's for each work list the included species. , Most of the locations indicated are in the Dogon-speaking area, which includes cliffs, high plateaus, inselbergs, sandy plains, seasonal rivers, and small ponds. Dogon locations include Beni, Tupere, Ségué, Bendiely, Dianwely, Anda, Walo, and Tongo Tongo, among others. The inselbergs and adjoining plains of the montane Songhay are represented mainly by Hombori and Kikara. The Niger and Bani river zone from Mopti to Segou, a mainly Bozo-speaking area that features seasonal floodplains, is represented mainly by Djenne, Barato, and Kolongo. , and Some of these plants are featured in documentary-style videos. There are two collections of such videos from Mali in Deep Blue Data: Mali documentary videos from 2023 - https://doi.org/10.7302/4851-2c52 Central Mali documentary videos - https://doi.org/10.7302/4jg9-j095 Additional flora-related videos from Mali may be archived at a later date. Some fauna images may also be archived at a later date. The various Mali collections (flora, videos) will be paralleled in time by comparable collections for southwestern Burkina Faso, and small collections for north-central Côte d'Ivoire, all in Deep Blue Data.
- Keyword:
- flora and Central Mali
- Discipline:
- Humanities
97Works -
- Creator:
- Carlson, Jake
- Description:
- This data set is my analysis of data management plans (DMPs) that were written by researchers at the University of Michigan for awards made between March 2020 and February 2021. I conducted this analysis to explore the potential utility of DMPs as a tool to aid data curators in understanding and working with the associated data set. Variables collected include: the types and formats of the expected data sets, information about the metadata and documentation to be generated, the anticipated methods for making the data set publicly available, references to Intellectual Property allowances or concerns, and the stated duration for preserving the data sets.
- Keyword:
- Data management plans, Data curation, Data sharing, and Content Analysis
- Citation to related publication:
- Carlson, J. (2023) Untapped Potential: A Critical Analysis of the Utility of Data Management Plans in Facilitating Data Sharing. Journal of Research Administration. Fall 2023. Forthcoming.
- Discipline:
- Social Sciences
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Burkina Faso documentary videos
User Collection
- Creator:
- Heath, Jeffrey G.
- Description:
- This is a collection of mostly short documentary-style videos related to linguistic fieldwork in southwestern Burkina Faso. The initial batch consists of videos produced in 2023, and others will be added. Versions of some of these videos overdubbed in native languages will also be produced for local consumption in Burkina. Most of the videos document everyday practical activities; some also feature useful native plants and insects. This collection is parallel to collections of videos from neighboring Mali: see "Central Mali documentary videos" (with documentaries produced up to 2018) and "Mali documentary videos from 2023 on" for the newer ones. A small collection from north-central Côte d'Ivoire is also in the works. Within each collection, the videos are organized into "works" based on the general type of activity documented.
- Keyword:
- Burkina Faso and documentary videos
- Discipline:
- Humanities
7Works -
Mali documentary videos from 2023
User Collection
- Creator:
- Heath, Jeffrey G.
- Description:
- Each "work" in this collection is a set of documentary-style videos in mp4 (m4v) format. The initial (2023) set of works is as follows: "farming and plant gathering (Mali mp4)", "construction and boatbuilding (Mali mp4)", "fishing (Mali mp4)", "food and beverage preparation (Mali mp4)", metalwork and woodwork (Mali mp4)", "cultural events (Mali mp4)", "firearms and gunpowder (Mali mp4)", "pottery (Mali mp4)", and "weaving and dyeing (Mali mp4)". Funding: National Science Foundation, Documenting Endangered Languages program. The readme's for each work give further details. Additional works with new videos may be added in the future. See also the Deep Blue Data collections "Burkina Faso documentary videos" and "Central Mali documentary videos". The latter contains Mali videos archived in 2018.
- Keyword:
- Mali and documentary videos
- Discipline:
- Humanities
11Works -
SHIFDR: Sub-metered HVAC Implemented For Demand Response
User Collection
- Creator:
- Lin, Austin and Mathieu, Johanna
- Description:
- The Sub-metered HVAC Implemented for Demand Response (SHIFDR) dataset is a massive dataset that captures the response of individual commercial building HVAC system components to demand response events. The dataset includes device-level power consumption during demand response events as well as during normal operation. We have organized the data into subsets, with each subset containing data from buildings in different parts of the world. Kindly refer to the README file within each subsection for specific information about how data is organized. Please reach out if you have data that you would like to share, find any mistakes in the data, or have any questions. We are always trying to improve SHIFDR.
- Discipline:
- Engineering
1Works -
F3UEL: Flaring & Fossil Fuels: Uncovering Emissions & Losses
User Collection
- Creator:
- Kort, Eric and Plant, Genevieve
- Description:
- Fossil energy production, processing, flaring, and transmission all can harm climate and air quality by emitting greenhouse gases and air pollutants. Studies now show that onshore oil and gas production emit much more methane than what is inventoried, and that local air quality impacts can be significant, however, natural gas flaring and offshore systems have been largely overlooked. The F3UEL (Flaring & Fossil Fuels: Uncovering Emissions & Losses) project aims to address these gaps by improving our understanding of offshore emissions, characterizing how flares behave in the real world, identifying what portion of the offshore system is responsible for emissions, and determining how such systems can be monitored. Spanning three years (2020-2022), the project employed an aircraft platform to measure including both greenhouse gas and air quality measurements. To sample the largest regions of current and potential future offshore production and flaring, airborne measurements targeted the Gulf of Mexico, offshore California and Alaska, the Bakken Formation (North Dakota) and the Permian and Eagle Ford Basins (Texas). Data provided here includes the airborne measurements collected using Scientific Aviation’s Mooney aircraft platform, equipped with spectroscopic instrumentation to measure methane, carbon dioxide, water vapor, nitrous oxide, and nitrogen oxide, in addition to meteorological variables such as wind speed and direction. Data products from our analysis of these airborne measurements are also provided, including estimated flare destruction removal efficiency for the Bakken, Eagle Ford, and Permian basins. Each data file is in .csv format and is accompanied by a readme file with further information and descriptors of the variables included. All users should cite the papers and datasets provided in the readme files for each individual dataset. Website: https://graham.umich.edu/f3uel This project is funded by the Alfred P. Sloan Foundation with additional support from the Environmental Defense Fund, Scientific Aviation, and University of Michigan (College of Engineering, Climate and Space Sciences and Engineering; Graham Sustainability Institute).
- Keyword:
- offshore oil & gas, flaring, methane, Nitrogen oxides, natural gas flaring, and oil & gas
- Discipline:
- Science
4Works