1,725,532 research outputs found

    UMNH:Mamm:5718

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    UMNH:Mamm:5718 Voucher specimen study ski

    Block Card 5718 Winona Drive

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    This image was produced by the Auditor's Office in Lucas County, Ohio for tax assessment purposes. Associated dates are approximate. Descriptive terms related to this photograph include: Dwelling | 5718 Winona Street (Toledo, Ohio) | Ranch houses | Ann Acres (Toledo, Ohio) | Greenwood Area (Toledo, Ohio) | West Toledo Area (Toledo, Ohio

    Block Card 5718 Yermo Street

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    This image was produced by the Auditor's Office in Lucas County, Ohio for tax assessment purposes. Associated dates are approximate. Descriptive terms related to this photograph include: Dwelling | 5718 Yermo Street (Toledo, Ohio) | Ranch houses | Perradot Subdivision (Toledo, Ohio) | Greenwood Area (Toledo, Ohio) | West Toledo Area (Toledo, Ohio

    Block Card 5718 Stickney Avenue

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    This image was produced by the Auditor's Office in Lucas County, Ohio for tax assessment purposes. Associated dates are approximate. Descriptive terms related to this photograph include: dwelling | 5718 Stickney Avenue (Toledo, Ohio) | Folk House Style | Gothic Revival Style | Greenwood Area (Toledo, Ohio) | North Toledo (Toledo, Ohio

    [Oeste de Minas, Engine Drawing Card, Sketch No. 5718]

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    This engine drawing card was created for Oeste de Minas, Class 12-28 1/4 E. Section N-12 1/4 E. Sketch 5718. Copy Spec. B-6222

    Block Card 5718 West Rowland Road

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    This image was produced by the Auditor's Office in Lucas County, Ohio for tax assessment purposes. Associated dates are approximate. Descriptive terms related to this photograph include: Dwelling | 5718 West Rowland Road (Toledo, Ohio) | Ranch houses | Rowland Meadows (Toledo, Ohio) | Greenwood Area (Toledo, Ohio) | West Toledo Area (Toledo, Ohio

    Linked collectors and determiners for: NEON Biorepository Carabid Collection (Archive Pooling).

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    Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Carabid Collection (Archive Pooling)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/044d870e-5718-410a-9450-9c2ceac8e1d9">https://bionomia.net/dataset/044d870e-5718-410a-9450-9c2ceac8e1d9</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/044d870e-5718-410a-9450-9c2ceac8e1d9">https://gbif.org/dataset/044d870e-5718-410a-9450-9c2ceac8e1d9</a>. Formatted as a Frictionless Data package

    Hybrid spline frames

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    10.1090/S0025-5718-09-02192-9Mathematics of Computation782671537-155

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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