Metrics of monograph use in the Marston Science Library

As academic libraries are increasingly supported by a matrix of databases functions, the use of data mining and visualization techniques offer significant potential for future collection development and service initiatives based on quantifiable data. While data collection techniques are still not standardized and results may be skewed because of granularity problems, faulty algorithms, and a host of other factors, useful baseline data is extractable and broad trends can be identified. The purpose of the current study is to provide an initial assessment of data associated with science monograph collection at the Marston Science Library (MSL), University of Florida. These sciences fall within the major Library of Congress Classification schedules of Q, S, and T, excluding R, TN, TR, and TT. Overall strategy of this project is to look at the potential science audiences within the university community and analyze data related to purchasing and circulation patterns, e-book usage, and interlibrary loan statistics. While a longitudinal study from 2004 to the present would be ideal, this paper presents the results from the academic year July 1, 2008 to June 30, 2009 which was chosen as the pilot period because all data reservoirs identified above were available.

User’s Guide to ADMB2R: A Set of AD Model Builder Output Routines Compatible with the R Statistics Language

ADMB2R is a collection of AD Model Builder routines for saving complex data structures into a file that can be read in the R statistics environment with a single command.1 ADMB2R provides both the means to transfer data structures significantly more complex than simple tables, and an archive mechanism to store data for future reference. We developed this software because we write and run computationally intensive numerical models in Fortran, C++, and AD Model Builder. We then analyse results with R. We desired to automate data transfer to speed diagnostics during working-group meetings. We thus developed the ADMB2R interface to write an R data object (of type list) to a plain-text file. The master list can contain any number of matrices, values, dataframes, vectors or lists, all of which can be read into R with a single call to the dget function. This allows easy transfer of structured data from compiled models to R. Having the capacity to transfer model data, metadata, and results has sharply reduced the time spent on diagnostics, and at the same time, our diagnostic capabilities have improved tremendously. The simplicity of this interface and the capabilities of R have enabled us to automate graph and table creation for formal reports. Finally, the persistent storage in files makes it easier to treat model results in analyses or meta-analyses devised months—or even years—later. We offer ADMB2R to others in the hope that they will find it useful. (PDF contains 30 pages)

User’s Guide to C2R: A Set of C Language Output Routines Compatible with the R Statistics Language

C2R is a collection of C routines for saving complex data structures into a file that can be read in the R statistics environment with a single command.1 C2R provides both the means to transfer data structures significantly more complex than simple tables, and an archive mechanism to store data for future reference. We developed this software because we write and run computationally intensive numerical models in Fortran, C++, and AD Model Builder. We then analyse results with R. We desired to automate data transfer to speed diagnostics during working-group meetings. We thus developed the C2R interface to write an R data object (of type list) to a plain-text file. The master list can contain any number of matrices, values, dataframes, vectors or lists, all of which can be read into R with a single call to the dget function. This allows easy transfer of structured data from compiled models to R. Having the capacity to transfer model data, metadata, and results has sharply reduced the time spent on diagnostics, and at the same time, our diagnostic capabilities have improved tremendously. The simplicity of this interface and the capabilities of R have enabled us to automate graph and table creation for formal reports. Finally, the persistent storage in files makes it easier to treat model results in analyses or meta-analyses devised months—or even years—later. We offer C2R to others in the hope that they will find it useful. (PDF contains 27 pages)

User’s Guide to For2R: A Module of Fortran 95 Output Routines Compatible with the R Statistics Language

For2R is a collection of Fortran routines for saving complex data structures into a file that can be read in the R statistics environment with a single command.1 For2R provides both the means to transfer data structures significantly more complex than simple tables, and an archive mechanism to store data for future reference. We developed this software because we write and run computationally intensive numerical models in Fortran, C++, and AD Model Builder. We then analyse results with R. We desired to automate data transfer to speed diagnostics during working-group meetings. We thus developed the For2R interface to write an R data object (of type list) to a plain-text file. The master list can contain any number of matrices, values, dataframes, vectors or lists, all of which can be read into R with a single call to the dget function. This allows easy transfer of structured data from compiled models to R. Having the capacity to transfer model data, metadata, and results has sharply reduced the time spent on diagnostics, and at the same time, our diagnostic capabilities have improved tremendously. The simplicity of this interface and the capabilities of R have enabled us to automate graph and table creation for formal reports. Finally, the persistent storage in files makes it easier to treat model results in analyses or meta-analyses devised months—or even years—later. We offer For2R to others in the hope that they will find it useful. (PDF contains 31 pages)

Sampling statistics in the Atlantic menhaden fishery

Atlantic menhaden, Brrvoortia tyrannus, the object of a major purse-seine fishery along the U.S. east coast, are landed at plants from northern Florida to central Maine. The National Marine Fisheries Service has sampled these landings since 1955 for length, weight, and age. Together with records of landings at each plant, the samples are used to estimate numbers of fish landed at each age. This report analyzes the sampling design in terms of probablity sampling theory. The design is c1assified as two-stage cluster sampling, the first stage consisting of purse-seine sets randomly selected from the population of all sets landed, and the second stage consisting of fish randomly selected from each sampled set. Implicit assumptions of this design are discussed with special attention to current sampling procedures. Methods are developed for estimating mean fish weight, numbers of fish landed, and age composition of the catch, with approximate 95% confidence intervals. Based on specific results from three ports (port Monmouth, N.J., Reedville, Va., and Beaufort, N.C.) for the 1979 fishing season, recommendations are made for improving sampling procedures to comply more exactly with assumptions of the sampling design. These recommendatlons include adopting more formal methods for randomizing set and fish selection, increasing the number of sets sampled, considering the bias introduced by unequal set sizes, and developing methods to optimize the use of funds and personnel. (PDF file contains 22 pages.)

Geographical catch distribution of yellowfin and skipjack tuna in the Eastern Pacific Ocean, 1967-1970, and fleet and total catch statistics, 1962-1970

ENGLISH: Logbook records of tuna vessels fishing in the eastern Pacific Ocean were used to prepare charts showing the distribution of yellowfin tuna and skipjack catches by i-degree area, by quarter of the year, and by gear, for the years 1967-1970. Recent changes in the geographical distribution of yellowfin catch are illustrated. Also given are annual catch statistics and the composition of the international tuna fishing fleets which operated in the Commission's Yellowfin Regulatory Area each year, 1962-1970. SPANISH: Los registros de los cuadernos de bitácora de los barcos pesqueros de atún en el Océano Pacífico oriental se usaron para preparar gráficos que presentan para los años de 1967-1970, la distribución de captura del atún aleta amarilla y barrilete por área de 1 grado, trimestre del año y, por las artes. Se ilustran los recientes cambios en la distribución geográfica de la captura del atún aleta amarilla. Se presentan también las estadísticas de captura anual y la composición de la flota internacional de pesca, que explota cada año el Area Reglamentaria de la Comisión, 1962-1970. (PDF contains 95 pages.)

Geographical distribution of yellowfin and skipjack tuna catches in the Eastern Pacific Ocean, and fleet and total catch statistics, 1971-1974

ENGLISH: Logbook records of purse seiners and baitboats fishing for yellowfin and skipjack tunas in the eastern Pacific Ocean were used to prepare charts showing the distribution of catches by l-degree area and quarter of the year for each gear and regulation status, for the years 1971-1974. Changes in geographical distribution of the catch over the four-year period are discernible. Information on annual catch statistics and fleet composition by country is presented. SPANISH: Los registros de bitácora de los cerqueros y clíperes (barcos de carnada) que pescan atún aleta amarilla y barrilete en el Océano Pacífico oriental se emplearon para preparar los diagramas en los que se indica la distribución de las capturas por área de 1 grado y trimestre, correspondiente a cada arte y condición reglamentaria en los años de 1971 a 1974. Se pueden distinguir los cambios en la distribución geográfica de la captura durante el período de cuatro años. Se presenta la información por país sobre las estadísticas de la captura anual y la composicón de la flota. (PDF contains 116 pages.)

Measuring Learning Outcomes in Library Instruction

The author uses clicker technology to incorporate polling and multiple choice question techniques into library instruction classes. Clickers can be used to give a keener understanding of how many students grasp the concepts presented in a specific class session. Typically, a student that aces a definition-type question will fail to answer an application-type question correctly. Immediate, electronic feedback helps to calibrate teaching approaches and gather data about learning outcomes. This presentation will analyze learning outcomes specific to scientific disciplines, and demonstrate the usefulness of clickers to engage and sustain student learning.

Geographical distribution of yellowfin and skipjack tuna catches in the Eastern Pacific Ocean, and fleet and total catch statistics, 1975-1978

ENGLISH: Logbook records of purse seiners and baitboats fishing for yellowfin and skipjack tunas in the eastern Pacific Ocean were used to prepare charts showing the distribution of catches by one-degree area and quarter of the year for each gear and regulation status, for the years 1975-1978. Changes in geographical distribution of the catch over the four-year period are described. Information on annual catch statistics and fleet composition by country is presented. SPANISH: Se emplearon los registros de bitácora de las embarcaciones cerqueras y de carnada que pescan atún aleta amarilla y barrilete en el Océano Pacífico oriental, para preparar los diagramas que indican la distribución de captura por zonas de un grado y trimestres del año de cada arte y condición de las reglamentaciones, en los años de 19'75 a 1978. Se describen los cambios de la distribución geográfica de la captura durante un período de cuatro Se presenta la información, por país, de las estadísticas de captura y de la composición de la flota. (PDF contains 120 pages.)

Statistics of the Eastern Pacific Ocean tuna fishery, 1979 to 1992

ENGLISH: This report, published in response to the large volume of requests for information received by the IATTC, provides information on the catches, effort, and composition of the purse-seine and baitboat fleets which fished for tunas and tuna-like species in the eastern Pacific Ocean (EPO) in the 1979-1992 period. It does not include data for longline fisheries operating in the EPO; that information may be found in the IATTC's Annual and other reports. The IATIC has published similar data for other periods in its Bulletin series (Shimada, 1958; Alverson, 1959, 1960, ~963; Martin, 1962; Calkins and Chatwin, 1967, 1971; Calkins, 1975; Orange and Calkins, 1981) and in its weekly, quarterly, and annual reports. SPANISH: El presente informe, publicado como resultado del gran volumen de solicitudes de información recibidas por la CIAT, presenta información sobre las capturas, el esfuerzo, y la composición de las flotas que pescaron atunes y especies afines con red de cerco o carnada en el Océano Pacífico oriental (OPa) en el período de 1979-1992. La CIATha publicado datos similares para otros períodos en su serie de Boletines (Shímada, 1958; Alverson, 1959, 1960, 1963; Martin, 1962; Calkins y Chatwin, 1967, 1971; Calkins, 1975; Orange y Calkins, 1981) y en sus informes semales, trimestrales, y anuales. (PDF contains 102 pages.)

Fisheries statistics of Kainji Lake, northern Nigeria, Nov. 1994 - Dec. 1998

Results are presented for the first 4 years data (1994-1998) of the Kainji Lake catch assessment survey, collected and analysed by the Nigerian-German Kainji Lake Fisheries Promotion Project. The following areas are covered: Methodology and alterations of the original sampling concept; Frame survey results - factors relating to the CAS; Catch assessment survey results - general; Gill net fishery; Drift net fishery; Beach seine fishery; Cast net fishery; Longline fishery; Trap fishery; and, Catch statistics from fisherwomen. (PDF contains 143 pages)

Data management plans - the role of the library

Planning the management of data at proposal time and throughout its lifecycle is becoming increasingly important to funding agencies and is essential to ensure its current usability and long term preservation and access. This presentation will describe the work being done at the Woods Hole Oceanographic Institution (WHOI) to assist PIs with the preparation of data management plans and the role the Library has in this process. Data management does not mean simply storing information. The emphasis is now on sharing data and making research accessible. Topics to be covered include educating staff about the NSF data policy implementation, a data management survey, resources for proposal preparation, collaborating with other librarians, and next steps.

Could the library be dismantled/role of unique holdings in modern times

I have been asked by administration, how much of our collection could go into storage. They optimistically hoping for a room or two for faculty/staff offices, as some buildings need renovation or need to be closed due to safety issues. Clearly, much of the population believes that all/most library materials are available on-line – free. I will present the results of our survey’s of material held and available on-line and space “freed” thanks to archiving. How little space is freed.

The Marine Science Library, Resource Center : poster presentation

The first concept of a new library was introduced in 2001 by a faculty member at the University of Texas Marine Science Institute. The suggestion for the construction of a new library was based on two specific reasons: existing library is located in one of the most vulnerable buildings to hurricane damage and the library has outgrown its current space. This presentation provides a general overview of the current status and changing needs of the Marine Science Library and how the idea of a new library finally became a reality

1978 Fisheries statistics - Kariba

Fishery statistics for 1978 are presented for: (1) total production; (2) effort and landings; (3) gill-net fisheries production landings and purchases; (4) monthly percentage composition of catch for Kariba area; (5) African camp effort statistics: (6) sardine fisheries.