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  • 1
    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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
    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
  • 3
    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
  • 4
    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
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  • 5
    facet.materialart.
    Unknown
    Energies, Vol. 12, Pages 890: Techno-Economic Feasibility Study of Small Wind Turbines in the Valley of Mexico Metropolitan Area (2019)
    MDPI
    In: Energies
    Details
    Publication Date: 2019
    Description: The use of small wind turbines (SWTs) is an alternative energy strategy with increasing potential for satisfying in situ electrical demands and should be studied to promote social penetration. The Valley of Mexico Metropolitan Area (VMMA) has air pollution issues that need to be addressed. This has resulted in programs for monitoring atmospheric variables, such as wind speed. By selecting and using 3 years’ worth of available data, we developed a methodology to study the technical and economic feasibility of using SWTs in the VMMA. To this end, 28 SWT models were assessed at 18 locations to estimate annual energy production. In light of certain data characteristics, an adjustment to the power production was proposed for the specific case of using SWTs. Cash flow analysis and annualized net present value (ANPV) were used to determine economic feasibility for each location; furthermore, electric home feeds in the VMMA were considered to model local economic conditions. Similar wind conditions were observed within the VMMA; however, only two wind turbine and location models provided positive ANPV values. The extra annual benefit for each project was calculated by associating the cost per mitigation of CO2 emissions, which may provide an economic strategy for promoting the penetration of this technology.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI
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  • 6
    facet.materialart.
    Unknown
    The −319C/+49G/CT60G Haplotype of CTLA-4 Gene Confers Susceptibility to Rheumatoid Arthritis in Mexican Population (2013)
    Springer
    Details
    Publication Date: 2013-05-24
    Print ISSN: 1085-9195
    Electronic ISSN: 1559-0283
    Topics: Biology , Medicine
    Published by Springer
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  • 7
    facet.materialart.
    Unknown
    Admixture and population structure in Mexican-Mestizos based on paternal lineages (2012)
    Springer Nature
    Details
    Publication Date: 2012-07-26
    Print ISSN: 1434-5161
    Electronic ISSN: 1435-232X
    Topics: Biology , Medicine
    Published by Springer Nature
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  • 8
    facet.materialart.
    Unknown
    Energies, Vol. 12, Pages 4056: Modeling and Simulation of Temperature and Relative Humidity Inside a Growth Chamber (2019)
    MDPI
    In: Energies
    Details
    Publication Date: 2019
    Description: Modeling and simulation of internal variables such as temperature and relative humidity are relevant for designing future climate control systems. In this paper, a mathematical model is proposed to predict the internal variables temperature and relative humidity (RH) of a growth chamber (GCH). Both variables are incorporated in a set of first-order differential equations, considering an energy-mass balance. The results of the model are compared and assessed in terms of the coefficients of determination (R2) and the root mean squared error (RMSE). The R2 and RMSE computed were R2 = 0.96, R2 = 0.94, RMSE = 0.98 °C, and RMSE = 1.08 °C, respectively, for the temperature during two consecutive weeks; and R2 = 0.83, R2 = 0.81, RMSE = 5.45%RH, and RMSE = 5.48%RH, respectively, for the relative humidity during the same period. Thanks to the passive systems used to control internal conditions, the growth chamber gives average differences between inside and outside of +0.34 °C for temperature, and +15.7%RH for humidity without any climate control system. Operating, the GCH proposed in this paper produces 3.5 kg of wet hydroponic green forage (HGF) for each kilogram of seed (corn or barley) harvested on average.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI
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  • 9
    facet.materialart.
    Unknown
    Ancestry informative markers and admixture proportions in northeastern Mexico (2009)
    Springer Nature
    Details
    Publication Date: 2009-08-14
    Print ISSN: 1434-5161
    Electronic ISSN: 1435-232X
    Topics: Biology , Medicine
    Published by Springer Nature
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  • 10
    facet.materialart.
    Unknown
    Genetic variability among Mexican Mestizo and Amerindian populations based on three ABCB1 polymorphisms (2018)
    Springer
    Details
    Publication Date: 2018-10-13
    Print ISSN: 0301-4851
    Electronic ISSN: 1573-4978
    Topics: Biology
    Published by Springer
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