GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    FapUNIFESP (SciELO) ; 2015
    In:  Revista Brasileira de Meteorologia Vol. 30, No. 2 ( 2015-06), p. 195-204
    In: Revista Brasileira de Meteorologia, FapUNIFESP (SciELO), Vol. 30, No. 2 ( 2015-06), p. 195-204
    Abstract: The purpose of this paper is to study the daily cycle of rainfall over Fortaleza, Ceará State. A 30 year time series of rainfall data at five minutes intervals was used. The data came from rain gauge records obtained at the meteorological station at Universidade Federal do Ceará, located at the "Campus do Pici". To obtain the daily rainfall cycle, non-linear regression analysis was used. We searched for fitting to two types of curves: polynomial and sinusoidal. The fitting to a third degree polynomial resulted in an approximately sinusoidal shape, with a determination coefficient r2 = 0.9118. However, the fitted curve showed discontinuity between the values of the ordinates at the beginning and ending of the daily cycle. We developed a new polynomial curve removing the discontinuity. The obtained curve was markedly sinusoidal, with r2= 0.8798. Then, sinusoidal functions fitting were done. We tested the simple sine and a sine-cosine association. With the combination of sine and cosine, the best fitting found is a curve with r2= 0.9113, considered as the best representation of the diurnal cycle. The curve equation has the form: P(h)=113.7422sen(2πh)+26.5895cos(2πh)+142.5764, where h is the event time.
    Type of Medium: Online Resource
    ISSN: 1982-4351 , 0102-7786
    Language: Unknown
    Publisher: FapUNIFESP (SciELO)
    Publication Date: 2015
    detail.hit.zdb_id: 2401291-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    In: Ecology, Wiley, Vol. 104, No. 4 ( 2023-04)
    Abstract: The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large‐scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications.
    Type of Medium: Online Resource
    ISSN: 0012-9658 , 1939-9170
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1797-8
    detail.hit.zdb_id: 2010140-5
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    In: Ecology, Wiley, Vol. 101, No. 11 ( 2020-11)
    Abstract: Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non‐detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non‐governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer‐reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non‐detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio‐temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large‐scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data.
    Type of Medium: Online Resource
    ISSN: 0012-9658 , 1939-9170
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1797-8
    detail.hit.zdb_id: 2010140-5
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...