Two simple labeling and data retrieval systems for herbaria

1972 ◽  
Vol 50 (11) ◽  
pp. 2197-2209 ◽  
Author(s):  
George W. Argus ◽  
John W. Sheard
Keyword(s):  
Species Distribution ◽  
Data Retrieval ◽  
Distribution Maps ◽  
Retrieval Systems ◽  
Computer Equipment ◽  
Manual Methods ◽  
Computerized Procedures ◽  
Computer Centers ◽  
Summary Data ◽  
Government Laboratories

Two systems using simple computerized procedures to assist in the preparation of herbarium labels and to store and retrieve herbarium label data are described. The systems include programs to (1) maintain and update check lists; (2) print herbarium labels, punch summary data cards for each collection, and list species for each locality; (3) produce species distribution maps; and (4) list summary data cards according to taxa and geographic localities. The systems are flexible and economically competitive with manual methods of preparing herbarium labels and compiling lists and distribution maps. The systems have the advantage of requiring computer equipment (IBM 029 keypunch and IBM 360 computer) that is generally available at most university computer centers and at government laboratories.

scholarly journals SPARQL Query Generator (SQG)

2021 ◽  
Author(s):  
Yanji Chen ◽  
Mieczyslaw M. Kokar ◽  
Jakub J. Moskal
Keyword(s):  
Data Retrieval ◽  
Data Representation ◽  
Sparql Query ◽  
Experimental Results ◽  
Generation Process ◽  
Manual Work ◽  
Retrieval Systems ◽  
Large Numbers ◽  
Query Generation ◽  
Good Coverage

AbstractThis paper describes a program—SPARQL Query Generator (SQG)—which takes as input an OWL ontology, a set of object descriptions in terms of this ontology and an OWL class as the context, and generates relatively large numbers of queries about various types of descriptions of objects expressed in RDF/OWL. The intent is to use SQG in evaluating data representation and retrieval systems from the perspective of OWL semantics coverage. While there are many benchmarks for assessing the efficiency of data retrieval systems, none of the existing solutions for SPARQL query generation focus on the coverage of the OWL semantics. Some are not scalable since manual work is needed for the generation process; some do not consider (or totally ignore) the OWL semantics in the ontology/instance data or rely on large numbers of real queries/datasets that are not readily available in our domain of interest. Our experimental results show that SQG performs reasonably well with generating large numbers of queries and guarantees a good coverage of OWL axioms included in the generated queries.

Illustrated guide to Pentatominae (Hemiptera: Pentatomidae) species associated with the four main grain crops in Rio Grande do Sul state, Brazil

Zootaxa ◽  
2021 ◽  
Vol 4958 (1) ◽  
pp. 430-478
Author(s):  
LURDIANA D. BARROS ◽  
MARCELO R. PAIM ◽  
VERÔNICA KREIN ◽  
VICTOR CARABAJAL ◽  
MARCELA N. BRANDÃO ◽  
...  
Keyword(s):  
Species Distribution ◽  
New Records ◽  
Species Recognition ◽  
Rio Grande ◽  
Economic Importance ◽  
Stink Bugs ◽  
Rio Grande Do Sul ◽  
Distribution Maps ◽  
Grain Crops ◽  
Scientific Collections

Several stink bugs in the subfamily Pentatominae are crop pests or have the potential to damage plants of economic importance. In the Brazilian state of Rio Grande do Sul, where agriculture plays a major role in the economy, the knowledge about pest stink bugs is fragmented and, in some instances, outdated. This work provides a summary of Pentatominae species recorded in Rio Grande do Sul feeding on the four most important grain crops for the state, i.e. soybean, rice, maize, and wheat, plus canola, an emerging crop. This survey is enhanced with new records from scientific collections, a short diagnosis for each species, distribution maps, an identification key, and carefully illustrated to allow for species recognition in the field. With this work, we aim to reunite the scattered knowledge of the group in one single revision, and provide a useful tool for identifying the pest stink bugs of Rio Grande do Sul. 

The lichen genus Lepraria Ach. (Stereocaulaceae, lichenized Ascomycota) in Romania

2020 ◽  
Vol 2 (1) ◽  
pp. 42-51
Author(s):  
Florin CRISAN
Keyword(s):  
Species Distribution ◽  
High Humidity ◽  
Fruiting Bodies ◽  
Recent Period ◽  
Distribution Maps ◽  
Long Time ◽  
Low Illumination ◽  
Crustose Lichens

Introduction. The genus Lepraria includes diffuse or indefinitely delimited species, always sterile, Lendemer (1) naming it „the most unusual member of the sterile lichen crusts”. According to Tonsberg (2), the leprarioid state appeared as an adaptation to a substrate characterized by dry surfaces, in sites with high humidity and low illumination. The thallus is leprose with an entirely sorediate surface. The lack of fruiting bodies has made the lichens from this group among the least known and studied for a long time. The increase in the number of studies on sterile crustose lichens in recent period has led to an increase in the number of accepted species of the genus Lepraria. The information on the genus Lepraria is not uniformly distributed, the current checklist describes only two species, L. caesioalba and L. finkii in Romania. The recent appearance of several studies that indicate the presence in Romania of other species of the genus mentioned, created the motivation of this study. Material and methods. This study is based on material from the Babes-Bolyai University (CL) herbaria in Cluj-Napoca, Romania and literature data. For 13 species, specimens have been examined. Results. The key for the species of genus Lepraria is proposed, adapted from Wirth (3). The species distribution maps in Romania are given. Conclusions. Fifteen Romanian species are revised, Lepraria eburnea, L. ecorticata, L. umbricola were reported from two locations, L. neglecta was found only in one location. Most widely distributed species in Romania seems to be L. finkii and L. membranacea.

The genus Bittacus Latreille (Insecta: Mecoptera) in Brazil: key to species, distribution maps, new synonym, and three new species

Zootaxa ◽  
2018 ◽  
Vol 4526 (3) ◽  
pp. 303 ◽  
Author(s):  
RENATO JOSE PIRES MACHADO ◽  
DIEGO MATHEUS DE MELLO MENDES ◽  
JOSÉ ALBERTINO RAFAEL
Keyword(s):  
New Species ◽  
Species Distribution ◽  
Identification Key ◽  
Key To Species ◽  
Distribution Maps ◽  
Brazilian Species ◽  
New Synonym ◽  
Three New Species

The Brazilian species of Bittacus Latreille (Mecoptera: Bittacidae) are reviewed and one new synonym is proposed (Thyridates willmanni Collucci & Amorin syn. n. of Bittacus diversinervis Souza Lopes & Mangabeira). Three new species are herein described: Bittacus cruzi sp. n. from Amazonas, Presidente Figueiredo and Manaus, B. ferreirai sp. n. from Bahia, Aracatu and B. varzeanus sp. n. from Amazonas, Tefé, bringing the current number of Bittacus species in Brazil to 18. Illustrations, comments, and distribution maps of each species are presented. An identification key to the Brazilian genera of Mecoptera and Bittacus species is also presented. 

scholarly journals Geographic Information Retrieval and the World Wide Web: A Match Made in Electronic Space

1997 ◽  
pp. 13-26 ◽  
Author(s):  
David Johnson ◽  
Myke Gluck
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Information Needs ◽  
World Wide ◽  
Data Retrieval ◽  
Query Languages ◽  
Geographic Information ◽  
Geographic Information Retrieval ◽  
Retrieval Systems ◽  
The World

This article looks at the access to geographic information through a review of information science theory and its application to the WWW. The two most common retrieval systems are information and data retrieval. A retrieval system has seven elements: retrieval models, indexing, match and retrieval, relevance, order, query languages and query specification. The goal of information retrieval is to match the user's needs to the information that is in the system. Retrieval of geographic information is a combination of both information and data retrieval. Aids to effective retrieval of geographic information are: query languages that employ icons and natural language, automatic indexing of geographic information, and standardization of geographic information. One area that has seen an explosion of geographic information retrieval systems (GIR's) is the World Wide Web (WWW). The final section of this article discusses how seven WWW GIR's solve the the problem of matching the user's information needs to the information in the system.

Revision of the taxonomy and distribution of the Neotropical Copris incertus species complex (Coleoptera: Scarabaeidae: Scarabaeinae)

2018 ◽  
Vol 150 (5) ◽  
pp. 539-577 ◽  
Author(s):  
James D.G. Darling ◽  
François Génier
Keyword(s):  
New Species ◽  
Costa Rica ◽  
Species Distribution ◽  
Male Genitalia ◽  
Species Complex ◽  
New World ◽  
Species Group ◽  
Distribution Maps ◽  
Multiple Species ◽  
A New Species

AbstractCopris incertus Say, 1835 (Coleoptera: Scarabaeidae: Scarabaeinae: Coprini) has been described as a New World coprophagous scarab distributed from Mexico to Ecuador with large discontinuities in its range between the Yucatán province and Costa Rica. The C. incertus species complex of the Copris minutus (Drury, 1773) species group consists of C. incertus, Copris laeviceps Harold, 1869, and Copris lugubris Boheman, 1858. Based on external morphology and male genitalia, we discovered that multiple species have been classified as C. incertus. Of these species, five are new: Copris amazonicusnew species, Copris brevicornisnew species, Copris davidinew species, Copris moroninew species, and Copris susanaenew species. Herein, we revise the organisation of the C. incertus species complex and propose a new species complex, the C. laeviceps species complex, which includes: C. davidi, Copris igualensis Warner, 1990, and C. laeviceps, formerly included in the C. incertus species complex. We provide an identification key along with species distribution maps, images of habitus, and diagnostic characters.

Revision of New World Spalangiinae (Hymenoptera: Pteromalidae)

Zootaxa ◽  
2009 ◽  
Vol 2259 (1) ◽  
pp. 1-159 ◽  
Author(s):  
GARY A. P. GIBSON
Keyword(s):  
Species Distribution ◽  
New World ◽  
Single Species ◽  
Similar Species ◽  
World Species ◽  
European Species ◽  
Distribution Maps ◽  
Nomen Dubium ◽  
Species Groups

Spalangia Latreille and Playaspalangia Yoshimoto, the only two genera classified in Spalangiinae (Chalcidoidea: Pteromalidae) are revised for the New World. Thirty-one species of Spalangia and a single species of Playaspalangia, P. rothi Yoshimoto, are recognized from the New World. One further name, Spalangia tarsalis Brèthes, is treated as a nomen dubium. European species of Spalangia not yet known from the New World are also discussed and illustrated relative to regional species, but are not treated formally. The following new synonymies are proposed: Spalangia erythromera brachyceps Bouček under Spalangia erythromera Förster n. syn., Spalangia bakeri Kieffer under Spalangia chontalensis Cameron n. syn., and Spalangia lanaiensis Ashmead under Spalangia impunctata Howard n. syn. Spalangia simplex Perkins is newly recorded from the New World and the following 13 species are described as new: Spalangia alyxia n. sp., Spalangia flavicrus n. sp., Spalangia imitator n. sp., Spalangia innuba n. sp., Spalangia leiopleura n. sp., Spalangia masneri n. sp., Spalangia nigroides n. sp., Spalangia noyesi n. sp., Spalangia plaumanni n. sp., Spalangia rugosifrons n. sp., Spalangia stictocephala n. sp., Spalangia stictocyla n. sp., and Spalangia xanthoscapa n. sp. The 2 genera and the 32 regional species of Spalangiinae are keyed, described and illustrated, and regional hosts and distributions are summarized for each species. Distribution maps document the known range of each of the species in the New World. For purposes of comparison of morphologically similar species, 7 informal species groups are recognized in Spalangia to include 29 of the 31 New World species: the attae-group (S. attae Burks, S. rugosifrons, S. stictocyla and S. stictocephala), the cameroni-group (S. cameroni Perkins, S. longepetiolata Bouček and S. gemina Bouček), the drosophilae- group (S. bethyloides Bouček, S. drosophilae Ashmead, S. flavicrus, S. impunctata, S. innuba, S. leiopleura and S. plaumanni), the endius group (S. endius Walker and S. nigripes), the nigra-group (S. alyxia, S. chontalensis, S. masneri, S. nigra Latreille, S. nigroides and S. nigroaenea Curtis), the noyesi-group (S. noyesi and S. xanthoscapa), and the subpunctata-group (S. erythromera, S. fuscipes, S. haematobiae Ashmead, S. imitator and S. subpunctata Förster).

New Developments in PC-Based Powder Data Retrieval Programs

1993 ◽  
Vol 37 ◽  
pp. 117-121
Author(s):  
Ron Jenkins
Keyword(s):  
Personal Computer ◽  
Reference Data ◽  
Data Retrieval ◽  
Phase Identification ◽  
Cd Rom ◽  
Computer Aided ◽  
Automatic Search ◽  
Manual Methods ◽  
Multi Phase

While most contemporary methods of qualitative analysis of multi-phase materials are still based on the classic Search/Match/Identify process developed by Hanawalt, Rinn and Frevel in the 1930s, during the past 10 years or so the personal computer, with associated CD-ROM storage, has made a dramatic impact on the ways in which classical procedures are being implemented. Until recently, most of the commercial mainframe and PC based software packages for qualitative phase identification have been designed to implement a fully automatic search/matching sequence. All of the major instrument suppliers now offer such programs as part of their Automated Powder Diffractometer (APD) packages. While these programs are extremely useful, the success of their application to a specific problem is critically dependent on the quality of both experimental data and reference data. Until the problems arising from comparing variable quality experimental and reference data are completely understood, it appears that there will continue to be an interest in user-inter active (computer-aided) manual methods of search/matching. This paper explores the use of the personal computer in the area of computer-aided search/matching

scholarly journals Multispectral Approach for Identifying Invasive Plant Species Based on Flowering Phenology Characteristics

2019 ◽  
Vol 11 (8) ◽  
pp. 953 ◽  
Author(s):  
Tarin Paz-Kagan ◽  
Micha Silver ◽  
Natalya Panov ◽  
Arnon Karnieli
Keyword(s):  
Plant Species ◽  
Species Distribution ◽  
Invasive Plant ◽  
Remote Sensing Data ◽  
Hyperspectral Data ◽  
Support Vector ◽  
Temperature Pattern ◽  
Multispectral Images ◽  
Invasive Plant Species ◽  
Distribution Maps

Invasive plant species (IPS) are the second biggest threat to biodiversity after habitat loss. Since the spatial extent of IPS is essential for managing the invaded ecosystem, the current study aims at identifying and mapping the aggressive IPS of Acacia salicina and Acacia saligna, to understand better the key factors influencing their distribution in the coastal plain of Israel. This goal was achieved by integrating airborne-derived hyperspectral imaging and multispectral earth observation for creating species distribution maps. Hyperspectral data, in conjunction with high spatial resolution species distribution maps, were used to train the multispectral images at the species level. We incorporated a series of statistical models to classify the IPS location and to recognize their distribution and density. We took advantage of the phenological flowering stages of Acacia trees, as obtained by the multispectral images, for the support vector machine classification procedure. The classification yielded an overall Kappa coefficient accuracy of 0.89. We studied the effect of various environmental and human factors on IPS density by using a random forest machine learning model, to understand the mechanisms underlying successful invasions, and to assess where IPS have a higher likelihood of occurring. This algorithm revealed that the high density of Acacia most closely related to elevation, temperature pattern, and distances from rivers, settlements, and roads. Our results demonstrate how the integration of remote-sensing data with different data sources can assist in determining IPS proliferation and provide detailed geographic information for conservation and management efforts to prevent their future spread.

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