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  • 1
    facet.materialart.
    Unknown
    Re-assessing a soil nailing design in heavily weathered granite after a strong earthquake (2013)
    Springer
    Details
    Publication Date: 2013-03-15
    Print ISSN: 1435-9529
    Electronic ISSN: 1435-9537
    Topics: Geosciences
    Published by Springer
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    PAPER CURRENT
  • 2
    facet.materialart.
    Unknown
    Protein-conformational diseases in childhood: Naturally-occurring hIAPP amyloid-oligomers and early β-cell damage in obesity and diabetes (2020)
    Public Library of Science
    Details
    Publication Date: 2020-08-24
    Electronic ISSN: 1932-6203
    Topics: Medicine , Natural Sciences in General
    Published by Public Library of Science
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    PAPER CURRENT
  • 3
    facet.materialart.
    Unknown
    Ovariectomized rodents as a menopausal metabolic syndrome model. A minireview (2020)
    Springer
    Details
    Publication Date: 2020-08-27
    Print ISSN: 0300-8177
    Electronic ISSN: 1573-4919
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Published by Springer
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    PAPER CURRENT
  • 4
    facet.materialart.
    Unknown
    Physical variables and abundance of zooplankton groups along the west coast of Baja California peninsula (July-September 2014) (2023)
    PANGAEA
    Details
    Publication Date: 2023-11-23
    Description: Physical oceanography variables and abundance of zooplankton community were analysed along the west coast of Baja California peninsula (July-September 2014). This study is related to 'The Blob', a mass of unusually warm ocean water registered off North America's west coast, setting sea temperature records and scrambling weather and ecosystems. This dataset contains the depth, temperature, and conductivity that were recorded from surface to a maximum depth using a SeaBird SB11 CTD equipped with a Seabird-43 Dissolved Oxygen sensor. Values of numerical abundance data analyzed from Northwest coast of Baja California peninsula to the South of Baja California. Zooplankton were collected using the Bongo nets with 505-μm of mesh opening from surface to 200 m depth. The Bongo system consists of two cylindrical-conical nets (2 m in length and 71 cm of mouth diameter) each one fitted with a flexible cod end and a General Oceanics flowmeter at the mouth for the determination of the volume of water filtered. Samples were fixed in 4% formalin buffered with a saturated solution of sodium borate. The zooplankton organisms were identified to functional taxonomic groups and its abundance was standardized using the formula (N = n / Vf); where N is the standardized number of organisms in 1 m3; n is the number of organisms in the sample and Vf, is the volume of water filtered in each trawl.
    Keywords: California Current System; El Niño; Pacific Northwest of Mexico; plankton; The Blob; Zooplankton abundance
    Type: Dataset
    Format: application/zip, 3 datasets
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    DATA PANGAEA
  • 5
    facet.materialart.
    Unknown
    Abundance of zooplankton groups collected along the west coast of Baja California peninsula (July-September 2014) (2023)
    PANGAEA
    Details
    Publication Date: 2023-11-23
    Description: This dataset contains the values of abundance of zooplankton collected along the west coast of Baja California on board the R/V BIPO INAPESCA within the Mexican Economic Exclusive Zone (EEZ) off the West Coast of Baja California Peninsula, between 32.5º to 23º N and 110º to 122º W covering 5173 nautical miles (nmi). The Bongo system (505-μm of mesh opening) with two cylindrical-conical nets (2 m in length and 71 cm of mouth diameter), each one fitted with a flexible cod end and a General Oceanics flowmeter at the mouth for the determination of the volume of water filtered was used to collect the zooplankton organisms from surface to 200 m depth. Diurnal and nocturnal samples were fixed in 4% formalin buffered with a saturated solution of sodium borate. Samples for taxonomic composition were sub-sampled when the total sample exceeded 20 ml, and at least two sub-samples of 10 ml were examined using a Carl Zeiss Stemi stereomicroscope (Horwood and Driver, 1976). The zooplankton organisms were identified to functional taxonomic groups and its abundance was standardized using the formula (N = n / Vf); where N is the standardized number of organisms in 1 m3; n is the number of organisms in the sample and Vf, is the volume of water filtered in each trawl.
    Keywords: Amphipoda; Annelida; Appendicularia; BI2014; BI2014_100-105; BI2014_100-30; BI2014_100-35; BI2014_100-40; BI2014_100-45; BI2014_100-50; BI2014_100-60; BI2014_100-65; BI2014_100-70; BI2014_100-75; BI2014_100-80; BI2014_100-90; BI2014_103.3-105; BI2014_103.3-30; BI2014_103.3-35; BI2014_103.3-40; BI2014_103.3-45; BI2014_103.3-50; BI2014_103.3-55; BI2014_103.3-60; BI2014_103.3-65; BI2014_103.3-70; BI2014_103.3-75; BI2014_103.3-80; BI2014_103.3-90; BI2014_106.7-105; BI2014_106.7-30; BI2014_106.7-35; BI2014_106.7-40; BI2014_106.7-45; BI2014_106.7-50; BI2014_106.7-55; BI2014_106.7-60; BI2014_106.7-65; BI2014_106.7-70; BI2014_106.7-75; BI2014_106.7-80; BI2014_106.7-90; BI2014_110-105; BI2014_110-33; BI2014_110-35; BI2014_110-40; BI2014_110-45; BI2014_110-50; BI2014_110-55; BI2014_110-60; BI2014_110-65; BI2014_110-70; BI2014_110-75; BI2014_110-80; BI2014_110-90; BI2014_113.3-105; BI2014_113.3-30; BI2014_113.3-35; BI2014_113.3-40; BI2014_113.3-45; BI2014_113.3-50; BI2014_113.3-55; BI2014_113.3-60; BI2014_113.3-65; BI2014_113.3-70; BI2014_113.3-75; BI2014_113.3-80; BI2014_113.3-90; BI2014_116.7-105; BI2014_116.7-26; BI2014_116.7-30; BI2014_116.7-35; BI2014_116.7-40; BI2014_116.7-45; BI2014_116.7-50; BI2014_116.7-55; BI2014_116.7-60; BI2014_116.7-65; BI2014_116.7-70; BI2014_116.7-75; BI2014_116.7-80; BI2014_116.7-90; BI2014_119-33; BI2014_120-105; BI2014_120-25; BI2014_120-30; BI2014_120-35; BI2014_120-40; BI2014_120-45; BI2014_120-50; BI2014_120-55; BI2014_120-60; BI2014_120-65; BI2014_120-70; BI2014_120-75; BI2014_120-80; BI2014_120-90; BI2014_123.3-37; BI2014_123.3-40; BI2014_123.3-45; BI2014_123.3-50; BI2014_123.3-55; BI2014_123.3-60; BI2014_123.3-65; BI2014_123.3-70; BI2014_123.3-75; BI2014_126.7-34; BI2014_126.7-42; BI2014_126.7-45; BI2014_126.7-50; BI2014_126.7-55; BI2014_126.7-60; BI2014_126.7-65; BI2014_126.7-70; BI2014_126.7-75; BI2014_130-28; BI2014_130-30; BI2014_130-35; BI2014_130-40; BI2014_130-45; BI2014_130-50; BI2014_130-55; BI2014_130-60; BI2014_130-65; BI2014_130-70; BI2014_130-75; BI2014_133.3-23; BI2014_133.3-25; BI2014_133.3-30; BI2014_133.3-35; BI2014_133.3-40; BI2014_133.3-45; BI2014_133.3-50; BI2014_133.3-55; BI2014_133.3-60; BI2014_133.3-65; BI2014_133.3-70; BI2014_133.3-75; BI2014_136.7-22; BI2014_136.7-25; BI2014_136.7-30; BI2014_136.7-35; BI2014_136.7-40; BI2014_136.7-45; BI2014_136.7-50; BI2014_136.7-55; BI2014_136.7-60; BI2014_140-30; BI2014_140-35; BI2014_140-40; BI2014_140-45; BI2014_140-50; BI2014_140-55; BI2014_140-60; BI2014_143.3-26; BI2014_143.3-30; BI2014_143.3-35; BI2014_143.3-40; BI2014_143.3-45; BI2014_143.3-50; BI2014_143.3-55; BI2014_143.3-60; BI2014_146.7-18; BI2014_146.7-20; BI2014_146.7-25; BI2014_146.7-30; BI2014_146.7-35; BI2014_146.7-40; BI2014_146.7-45; BI2014_146.7-50; BI2014_146.7-55; BI2014_150-15; BI2014_150-20; BI2014_150-25; BI2014_150-30; BI2014_150-35; BI2014_150-40; BI2014_150-45; BI2014_150-50; BI2014_153.3-16; BI2014_153.3-20; BI2014_153.3-25; BI2014_153.3-30; BI2014_153.3-35; BI2014_153.3-40; BI2014_153.3-45; BI2014_96.7-100; BI2014_96.7-30; BI2014_96.7-35; BI2014_96.7-40; BI2014_96.7-45; BI2014_96.7-75; BI2014_96.7-80; BI2014_96.7-90; BI2014_99-99; Bipo Inapesca; Bivalvia; California Current System; Cephalopoda; Chaetognatha; Cirripedia; Copepoda; Ctenophora; DATE/TIME; Date/time end; Date/time start; Decapoda; DEPTH, water; Diplostraca; Echinodermata; El Niño; Euphausiacea; Event label; Gastropoda; Heteropoda; Hydroidolina; Identification; Isopoda; LATITUDE; LONGITUDE; MULT; Multiple investigations; Mysida; Nemertea; Ostracoda; Pacific Northwest of Mexico; Phoronida; plankton; Pteropoda; Siphonophora; Station label; Stereo microscope, Zeiss, Stemi; Stomatopoda; Teleostei, larvae; Thaliacea; The Blob; Vessel; Zooplankton abundance
    Type: Dataset
    Format: text/tab-separated-values, 4534 data points
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    DATA PANGAEA
  • 6
    facet.materialart.
    Unknown
    Summary of physical oceanography during RV BIPO INAPESCA cruise along the west coast of Baja California peninsula (July-September 2014) (2023)
    PANGAEA
    Details
    Publication Date: 2023-11-23
    Description: Depth, temperature, and conductivity were recorded with a SeaBird SB11 CTD equipped with a Seabird-43 Dissolved Oxygen sensor during a RV Bipo Inapesca cruise between 15th July and 5th September 2014. The net primary production (NPP; mg C·m−2·d−1) was downloaded from the Ocean Productivity website of the Oregon State University (http://www.science.oregonstate.edu/ocean.productivity/index.php), obtained from remote sensor with a spatial resolution of 9x9 km and processed using the Vertical Generalized Production Model (VGPM). The minimum oxygen depth was considered as the depth where the dissolved oxygen concentration is less than 0.5 ml·l−1 and the mixed layer depth (MLD) was calculated from field data by a 2-layer model. The wet volume of zooplankton of each sample was estimated according to the method of displaced volume.
    Keywords: According to Serrano (2012); BI2014; BI2014_100-105; BI2014_100-30; BI2014_100-35; BI2014_100-40; BI2014_100-45; BI2014_100-50; BI2014_100-60; BI2014_100-65; BI2014_100-70; BI2014_100-75; BI2014_100-80; BI2014_100-90; BI2014_103.3-105; BI2014_103.3-30; BI2014_103.3-35; BI2014_103.3-40; BI2014_103.3-45; BI2014_103.3-50; BI2014_103.3-55; BI2014_103.3-60; BI2014_103.3-65; BI2014_103.3-70; BI2014_103.3-75; BI2014_103.3-80; BI2014_103.3-90; BI2014_106.7-105; BI2014_106.7-30; BI2014_106.7-35; BI2014_106.7-40; BI2014_106.7-45; BI2014_106.7-50; BI2014_106.7-55; BI2014_106.7-60; BI2014_106.7-65; BI2014_106.7-70; BI2014_106.7-75; BI2014_106.7-80; BI2014_106.7-90; BI2014_110-105; BI2014_110-33; BI2014_110-35; BI2014_110-40; BI2014_110-45; BI2014_110-50; BI2014_110-55; BI2014_110-60; BI2014_110-65; BI2014_110-70; BI2014_110-75; BI2014_110-80; BI2014_110-90; BI2014_113.3-105; BI2014_113.3-30; BI2014_113.3-35; BI2014_113.3-40; BI2014_113.3-45; BI2014_113.3-50; BI2014_113.3-55; BI2014_113.3-60; BI2014_113.3-65; BI2014_113.3-70; BI2014_113.3-75; BI2014_113.3-80; BI2014_113.3-90; BI2014_116.7-105; BI2014_116.7-26; BI2014_116.7-30; BI2014_116.7-35; BI2014_116.7-40; BI2014_116.7-45; BI2014_116.7-50; BI2014_116.7-55; BI2014_116.7-60; BI2014_116.7-65; BI2014_116.7-70; BI2014_116.7-75; BI2014_116.7-80; BI2014_116.7-90; BI2014_119-33; BI2014_120-105; BI2014_120-25; BI2014_120-30; BI2014_120-35; BI2014_120-40; BI2014_120-45; BI2014_120-50; BI2014_120-55; BI2014_120-60; BI2014_120-65; BI2014_120-70; BI2014_120-75; BI2014_120-80; BI2014_120-90; BI2014_123.3-37; BI2014_123.3-40; BI2014_123.3-45; BI2014_123.3-50; BI2014_123.3-55; BI2014_123.3-60; BI2014_123.3-65; BI2014_123.3-70; BI2014_123.3-75; BI2014_126.7-34; BI2014_126.7-42; BI2014_126.7-45; BI2014_126.7-50; BI2014_126.7-55; BI2014_126.7-60; BI2014_126.7-65; BI2014_126.7-70; BI2014_126.7-75; BI2014_130-28; BI2014_130-30; BI2014_130-35; BI2014_130-40; BI2014_130-45; BI2014_130-50; BI2014_130-55; BI2014_130-60; BI2014_130-65; BI2014_130-70; BI2014_130-75; BI2014_133.3-23; BI2014_133.3-25; BI2014_133.3-30; BI2014_133.3-35; BI2014_133.3-40; BI2014_133.3-45; BI2014_133.3-50; BI2014_133.3-55; BI2014_133.3-60; BI2014_133.3-65; BI2014_133.3-70; BI2014_133.3-75; BI2014_136.7-22; BI2014_136.7-25; BI2014_136.7-30; BI2014_136.7-35; BI2014_136.7-40; BI2014_136.7-45; BI2014_136.7-50; BI2014_136.7-55; BI2014_136.7-60; BI2014_140-30; BI2014_140-35; BI2014_140-40; BI2014_140-45; BI2014_140-50; BI2014_140-55; BI2014_140-60; BI2014_143.3-26; BI2014_143.3-30; BI2014_143.3-35; BI2014_143.3-40; BI2014_143.3-45; BI2014_143.3-50; BI2014_143.3-55; BI2014_143.3-60; BI2014_146.7-18; BI2014_146.7-20; BI2014_146.7-25; BI2014_146.7-30; BI2014_146.7-35; BI2014_146.7-40; BI2014_146.7-45; BI2014_146.7-50; BI2014_146.7-55; BI2014_150-15; BI2014_150-20; BI2014_150-25; BI2014_150-30; BI2014_150-35; BI2014_150-40; BI2014_150-45; BI2014_150-50; BI2014_153.3-16; BI2014_153.3-20; BI2014_153.3-25; BI2014_153.3-30; BI2014_153.3-35; BI2014_153.3-40; BI2014_153.3-45; BI2014_96.7-100; BI2014_96.7-30; BI2014_96.7-35; BI2014_96.7-40; BI2014_96.7-45; BI2014_96.7-75; BI2014_96.7-80; BI2014_96.7-90; BI2014_99-99; Bipo Inapesca; Calculated; Calculated according to Planque et al. (2006); California Current System; CTD, Sea-Bird, SBE 11; coupled with Dissolved oxygen sensor, Sea-Bird, SBE 43; DATE/TIME; Date/time end; Date/time start; Density, sigma-theta (0); DEPTH, water; Depth, water, bottom/maximum; Depth of minimum oxygen concentration; El Niño; Event label; Generalized Production Model (VGPM) according to Behrenfeld & Falkowski (1997) [Ocean productivity website, Oregon State University]; Identification; LATITUDE; LONGITUDE; Method of displaced volume according to Beers (1976); Mixed layer depth; MULT; Multiple investigations; Net primary production of carbon; Oxygen, dissolved; Pacific Northwest of Mexico; pH; pH sensor, SBE 18; plankton; Salinity; Station label; Temperature, water; The Blob; Vessel; Volume, zooplankton; Zooplankton abundance
    Type: Dataset
    Format: text/tab-separated-values, 3297 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    Physical oceanography during RV BIPO INAPESCA cruise along the west coast of Baja California peninsula (July-September 2014) (2023)
    PANGAEA
    Details
    Publication Date: 2023-11-23
    Description: Depth, temperature, and conductivity were recorded with a SeaBird SB11 CTD equipped with a Seabird-43 Dissolved Oxygen sensor from 16th July to 3rd September 2014 along the west coast of Baja California peninsula. The vertical profiles of temperature (T), salinity (S) and, dissolved oxygen (OD) were averaged every 1 dBar and visualised with the Ocean Data View software (Schlitzer, 2018).
    Keywords: BI2014; BI2014_100-105; BI2014_100-30; BI2014_100-35; BI2014_100-45; BI2014_100-50; BI2014_100-60; BI2014_100-65; BI2014_100-70; BI2014_100-75; BI2014_100-80; BI2014_100-90; BI2014_103.3-105; BI2014_103.3-30; BI2014_103.3-35; BI2014_103.3-40; BI2014_103.3-45; BI2014_103.3-50; BI2014_103.3-55; BI2014_103.3-60; BI2014_103.3-65; BI2014_103.3-70; BI2014_103.3-80; BI2014_103.3-90; BI2014_106.7-105; BI2014_106.7-30; BI2014_106.7-35; BI2014_106.7-40; BI2014_106.7-45; BI2014_106.7-50; BI2014_106.7-55; BI2014_106.7-60; BI2014_106.7-65; BI2014_106.7-70; BI2014_106.7-75; BI2014_106.7-80; BI2014_106.7-90; BI2014_110-105; BI2014_110-33; BI2014_110-35; BI2014_110-40; BI2014_110-45; BI2014_110-50; BI2014_110-55; BI2014_110-60; BI2014_110-65; BI2014_110-70; BI2014_110-75; BI2014_110-80; BI2014_110-90; BI2014_113.3-105; BI2014_113.3-30; BI2014_113.3-35; BI2014_113.3-40; BI2014_113.3-45; BI2014_113.3-50; BI2014_113.3-55; BI2014_113.3-60; BI2014_113.3-65; BI2014_113.3-70; BI2014_113.3-75; BI2014_116.7-105; BI2014_116.7-26; BI2014_116.7-30; BI2014_116.7-35; BI2014_116.7-40; BI2014_116.7-45; BI2014_116.7-50; BI2014_116.7-55; BI2014_116.7-60; BI2014_116.7-65; BI2014_116.7-70; BI2014_116.7-75; BI2014_116.7-80; BI2014_116.7-90; BI2014_120-105; BI2014_120-40; BI2014_120-45; BI2014_120-50; BI2014_120-55; BI2014_120-60; BI2014_120-65; BI2014_120-70; BI2014_120-75; BI2014_120-80; BI2014_120-90; BI2014_123.3-37; BI2014_123.3-40; BI2014_123.3-45; BI2014_123.3-50; BI2014_123.3-55; BI2014_123.3-60; BI2014_123.3-65; BI2014_123.3-70; BI2014_123.3-75; BI2014_126.7-34; BI2014_126.7-42; BI2014_126.7-45; BI2014_126.7-50; BI2014_126.7-55; BI2014_126.7-60; BI2014_126.7-70; BI2014_126.7-75; BI2014_130-28; BI2014_130-30; BI2014_130-35; BI2014_130-40; BI2014_130-45; BI2014_130-50; BI2014_130-55; BI2014_130-60; BI2014_130-65; BI2014_130-70; BI2014_130-75; BI2014_133.3-23; BI2014_133.3-25; BI2014_133.3-30; BI2014_133.3-35; BI2014_133.3-40; BI2014_133.3-45; BI2014_133.3-50; BI2014_133.3-55; BI2014_133.3-60; BI2014_133.3-65; BI2014_133.3-70; BI2014_133.3-75; BI2014_136.7-22; BI2014_136.7-25; BI2014_136.7-30; BI2014_136.7-35; BI2014_136.7-40; BI2014_136.7-45; BI2014_136.7-50; BI2014_136.7-55; BI2014_136.7-60; BI2014_140-30; BI2014_140-35; BI2014_140-40; BI2014_140-45; BI2014_140-50; BI2014_140-55; BI2014_140-60; BI2014_143.3-26; BI2014_143.3-30; BI2014_143.3-35; BI2014_143.3-40; BI2014_143.3-45; BI2014_143.3-50; BI2014_143.3-55; BI2014_143.3-60; BI2014_146.7-18; BI2014_146.7-20; BI2014_146.7-25; BI2014_146.7-30; BI2014_146.7-35; BI2014_146.7-40; BI2014_146.7-45; BI2014_146.7-50; BI2014_146.7-55; BI2014_150-15; BI2014_150-20; BI2014_150-25; BI2014_150-30; BI2014_150-35; BI2014_150-40; BI2014_150-45; BI2014_150-50; BI2014_153.3-16; BI2014_153.3-20; BI2014_153.3-25; BI2014_153.3-30; BI2014_153.3-35; BI2014_153.3-40; BI2014_153.3-45; BI2014_96.7-100; BI2014_96.7-75; BI2014_96.7-80; BI2014_96.7-90; BI2014_99-99; Bipo Inapesca; California Current System; CTD, Sea-Bird, SBE 11; coupled with Dissolved oxygen sensor, Sea-Bird, SBE 43; DATE/TIME; Date/time end; Date/time start; DEPTH, water; El Niño; Event label; Identification; LATITUDE; LONGITUDE; MULT; Multiple investigations; Oxygen, dissolved; Pacific Northwest of Mexico; plankton; Salinity; Station label; Temperature, water; The Blob; Vessel; Zooplankton abundance
    Type: Dataset
    Format: text/tab-separated-values, 733166 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
    facet.materialart.
    Unknown
    Biomass of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: This data set integrates findings of 16 years (2005 to 2020) of collaborative monitoring efforts across multiple institutions in the Gulf of California.The data encompasses information of 13 species of marine herbivorous fishes belonging to five families: Acanthuridae, Girellidae, Kyphosidae, Pomacentridae and Scaridae. This database presents 884 records of biomass from 15,542 visual censuses assessed by scuba diving in 34 localities (comprising 268 rocky and coral reefs sites). Visual censuses consisted of belt transects (250 m2, 100 m2, and 60 m2) laid parallel to the coastline preserving a similar depth profiles. Along these transects, trained underwater monitors, identified the species, recorded the abundance of all the adult individuals of the 13 targeted species and visually estimated the total length (cm) of each fish. The information for each transect in the database, is presented as the biomass (grams per square meter), which was estimated based on the size per individual as well as the weight-length relationship for each species, available on the literature. In the database is also integrated the information of the latitude and longitude of each locality, type of management, localities in the Gulf of California, institutions, the initial and final year of data, total number of years, as well as the mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error and minimum and maximum value calculated for each species within each locality. This dataset represents a historical reference point for the condition of the 13 species found in the Gulf of California. It can be used to perform evaluations of how herbivorous fish communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region. communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Biomass; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    Density of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: Through collaborative monitoring involving multiple academic, government, and civil institutions over a span of 16 years (2005 to 2020), we compiled 884 records of the density of 13 species of marine herbivorous fishes. The data was collected through 15,542 visual censuses conducted by scuba diving in 34 localities, encompassing 268 rocky and coral reef sites. These censuses utilized belt transects (250 m², 100 m², and 60 m²) parallel to the coastline at similar depth profiles. Trained underwater monitors recorded abundances of all adult individuals of the 13 targeted species along the transects. The information for each transect in the database is presented as the average fish density (individuals per square meter), estimated based on the abundance for each species. The database integrates information on latitude, longitude, type of management, localities in the Gulf of California, institutions, initial and final years of data collection, total number of years, as well as mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error, and minimum and maximum values calculated for each species within each locality. This dataset serves as a historical benchmark for assessing the status of 13 species in the Gulf of California. It enables the examination of changes in herbivorous fish communities over time and across various locations, which is crucial given the impact of global changes leading to tropicalization in the study area. The data is particularly important for providing valuable insights to those managing protected areas in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Individuals per area; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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    DATA PANGAEA
  • 10
    Electronic Resource
    Electronic Resource
    Polymeric Precursor Synthesis of Alumina Containing Manganese Oxide (1998)
    s.l. ; Stafa-Zurich, Switzerland
    Materials science forum Vol. 299-300 (Dec. 1998), p. 91-98 
    Details
    ISSN: 1662-9752
    Source: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Type of Medium: Electronic Resource
    URL: http://www.tib-hannover.de/fulltexts/2011/0528/02/03/transtech_doi~10.4028%252Fwww.scientific.net%252FMSF.299-300.91.pdf
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    Paper (German National Licenses)
    Fulltext
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