186,544 research outputs found
Marriage record of Hardee, John P. and Cone, Ella
No full textMarriage license for John P. Hardee and Ella Cone. F.R. Graves was the officiant
Hardee versus Newton
No full textWilliam J. Hardee's Corps attacked along the Buck Head and Atlanta Road at about 3 p.m., July 20, with about 15,000 troops. The only force standing in the war was John Newton's division of the Fourth Corps, about 3,000 strong, which was partially fortified in a good position. Hardee handled his attack poorly; one of his divisions never even found the enemy, another nearly outflanked Newton's left but was repulsed, and another only advanced part way to Newton's right wing then stopped in a ravine and fired for the rest of the day. Hardee's reserve division, commanded by Patrick R. Cleburne, was about to renew the attack when Hood called on Hardee to send a division to the east side of Atlanta to oppose McPherson's approach to the city. Hardee Cleburne's Division. Hardee's officers and men generally did not press their attacks vigorously and Hood had some degree of justification in later blaming him for a lack of faith in his plan. The Confederates never discovered that a gap of a mile and a half existed between Newton's division and the rest of the Fourth Corps which was operating with Schofield's Army of the Ohio.</p
Ground-water resources data of Charlotte, DeSoto, and Hardee Counties, Florida
No full textCharlotte, De Soto, and Hardee counties are east-southeast of
Tampa in west-central peninsular Florida, figure 1. In order to
plan the future water-resource development of the area, information
about the water resources is needed. To meet this need, the Water
Resources Division of the U.S. Geological Survey, in cooperation
with the Peace River Basin Board of the Southwest Florida Water
Management District as part of the statewide cooperative program
with the Division of Geology, Florida Board of Conservation, began
a continuing hydrologic data collection program in July, 1963, as
an initial step in the investigation and evaluation of the groundwater
resources of Hardee and De Soto counties. A similar hydrologic
data program commenced in Charlotte County in July, 1964.
Previous work in Hardee and De Soto counties included a
one year reconnaissance by the Division of Water Resources and
Conservation, Florida Board of Conservation, which concluded in
June, 1963, and resulted in a hydrologic report (Woodard, 1964).
As an outgrowth of the hydrologic data program, a Map Series
report portraying the chemical character of water in the Floridan
aquifer in the southern Peace River basin was prepared in 1967
(Kaufman and Dion).
The data contained herein constitute the basis for the Map
Series report. Additional selected data, including records of wells
and chemical analyses,, on the ground-water resources of the three
county area are also included and are published to make the data
available.
(Document has 28 pages.
Ground-water resources data of Charlotte, DeSoto, and Hardee Counties, Florida
No full textCharlotte, De Soto, and Hardee counties are east-southeast ofTampa in west-central peninsular Florida, figure 1. In order toplan the future water-resource development of the area, informationabout the water resources is needed. To meet this need, the WaterResources Division of the U.S. Geological Survey, in cooperationwith the Peace River Basin Board of the Southwest Florida WaterManagement District as part of the statewide cooperative programwith the Division of Geology, Florida Board of Conservation, begana continuing hydrologic data collection program in July, 1963, asan initial step in the investigation and evaluation of the groundwaterresources of Hardee and De Soto counties. A similar hydrologicdata program commenced in Charlotte County in July, 1964.Previous work in Hardee and De Soto counties included aone year reconnaissance by the Division of Water Resources andConservation, Florida Board of Conservation, which concluded inJune, 1963, and resulted in a hydrologic report (Woodard, 1964).As an outgrowth of the hydrologic data program, a Map Seriesreport portraying the chemical character of water in the Floridanaquifer in the southern Peace River basin was prepared in 1967(Kaufman and Dion).The data contained herein constitute the basis for the MapSeries report. Additional selected data, including records of wellsand chemical analyses,, on the ground-water resources of the threecounty area are also included and are published to make the dataavailable.(Document has 28 pages.)Prepared by the
UNITED STATES GEOLOGICAL SURVEY
in cooperation with the
DIVISION OF GEOLOGY
FLORIDA BOARD OF CONSERVATION
and the
SOUTHWEST FLORIDA WATER MANAGEMENT DISTRIC
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Rifle and light infantry tactics, for the exercise and manoeuvres of troops when acting as light infantry or riflemen; prepared under the direction of the War department, by Brevet-Lieut.-Col. W.J. Hardee; schools of the soldier and company; instruction for skirmishers.
No full text113 p
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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