ERDDAP > info > bcodmo_dataset_699458

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	[H. longicornis Population Structure] - Haloptilus longicornis population structure (Atlantic Ocean) - Microsatellite data. (Basin-scale genetics of marine zooplankton)		I   M	background			BCO-DMO	bcodmo_dataset_699458

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	access_formats	String	.htmlTable,.csv,.json,.mat,.nc,.tsv
attribute	NC_GLOBAL	acquisition_description	String	Refer to the following publication for complete methodology details: Goetze, E.,\u00a0Andrews, K., Peijnenburg, K. T. C. A., Portner, E., Norton, E. L. (2015) Temporal Stability of Genetic Structure in a Mesopelagic Copepod.\u00a0\u00a0PLoS One\u00a010(8): e0136087.\u00a0[doi:10.1371/journal.pone.0136087](\\"http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0136087\\") In summary (excerpted from above): For\u00a0H.\u00a0longicornis species 1, deviations from Hardy-Weinberg equilibrium (HWE) and linkage disequilibrium were examined using ARLEQUIN v3.5.1.3 and GENEPOP v4.2 for all microsatellite loci [36\u201338]. We tested for the presence of null alleles in microsatellite data using MICROCHECKER v2.2.3 [39], and estimated null allele frequencies and calculated population pairwise\u00a0FST\u00a0values with correction for null alleles in FreeNA [40]. Microsatellite genetic diversity indices of observed and expected heterozygosity, average alleles per locus, and allele richness were calculated in GENETIX v4.05 and FSTAT [35,41]. Pairwise\u00a0FST\u00a0values were calculated among all sample sites using both microsatellite and mtCOII data, as a measure of population subdivision across samples (ARLEQUIN v3.5.1.3, [38]). Significance was assessed following correction for multiple comparisons using the false discovery rate (FDR, [42,43]). Pairwise \u03a6ST\u00a0values also were calculated for the mtCOII data. We identified the nucleotide substitution model that best fit our mtCOII data using the Akaike Information Criterion, as implemented in jModelTest v2.1.4 [44], and the K81 or three- parameter model was selected as the best model (TPM3uf+G). The Tamura and Nei substitution model, which was the closest available model in Arlequin, was used to calculate pairwise and global \u03a6ST\u00a0values, and to estimate genetic diversity at each site. Hierarchical Analyses of Molecular Variance (AMOVA) based on\u00a0FST\u00a0were carried out to partition the genetic variance across both space (ocean gyres) and time (sampling years), for both marker types. In these analyses, we tested for population structure under the following groupings: with samples stratified by (1) northern and southern subtropical gyres (2 gyres), and (2) across two sampling years (2010, 2012). Global\u00a0FST\u00a0values were estimated using non-hierarchical AMOVAs among all samples, as well as among subsets of the data across ocean gyres and sampling years. Significance was tested with 10,000 permutations of genotypes or haplotypes among populations. Principal coordinate analysis (PCA) plots of linearized pairwise\u00a0FST\u00a0values based on both mtCOII and microsatellite data were used to visualize spatial and temporal genetic differentiation among samples. Population structure was further examined using a Bayesian clustering method implemented in STRUCTURE [45,46] for microsatellite loci. We used admixture and correlated allele frequency models, with a burn-in of 105\u00a0steps followed by 106\u00a0steps, with and without using sampling location as a prior. We ran these analyses for each of the 2010 and 2012 datasets using\u00a0K\u00a0= 1 to\u00a0K\u00a0= 10, and for the dataset of combined years using\u00a0K\u00a0= 1 to\u00a0K\u00a0= 20. We ran three separate replicates for each K to investigate consistency of Pr(X|K). The true\u00a0K\u00a0was evaluated by visual inspection of barplots and comparing Pr(X|K) across\u00a0K\u00a0values.
attribute	NC_GLOBAL	awards_0_award_nid	String	537990
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1338959
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1338959
attribute	NC_GLOBAL	awards_0_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_0_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_0_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_0_program_manager	String	David L. Garrison
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	50534
attribute	NC_GLOBAL	awards_1_award_nid	String	539716
attribute	NC_GLOBAL	awards_1_award_number	String	OCE-1029478
attribute	NC_GLOBAL	awards_1_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1029478
attribute	NC_GLOBAL	awards_1_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_1_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_1_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_1_program_manager	String	David L. Garrison
attribute	NC_GLOBAL	awards_1_program_manager_nid	String	50534
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Haloptilus longicorns population structure Erica Goetze, PI Version 20 March 2017
attribute	NC_GLOBAL	Conventions	String	COARDS, CF-1.6, ACDD-1.3
attribute	NC_GLOBAL	creator_email	String	info at bco-dmo.org
attribute	NC_GLOBAL	creator_name	String	BCO-DMO
attribute	NC_GLOBAL	creator_type	String	institution
attribute	NC_GLOBAL	creator_url	String	https://www.bco-dmo.org/
attribute	NC_GLOBAL	data_source	String	extract_data_as_tsv version 2.3 19 Dec 2019
attribute	NC_GLOBAL	date_created	String	2017-05-04T17:20:16Z
attribute	NC_GLOBAL	date_modified	String	2019-03-28T19:36:57Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.699458.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/699458
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Thermal Cycler
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	PCR products were genotyped
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	699475
attribute	NC_GLOBAL	instruments_0_description	String	General term for a laboratory apparatus commonly used for performing polymerase chain reaction (PCR). The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps. (adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html)
attribute	NC_GLOBAL	instruments_0_instrument_name	String	PCR Thermal Cycler
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	471582
attribute	NC_GLOBAL	instruments_0_supplied_name	String	ABI3730 Genetic Analyzer
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, data, dataset, diploid, diploidGenotype1_HALOM264, diploidGenotype1_HALOMS175, diploidGenotype1_HALOMS27, diploidGenotype1_HALOMS32, diploidGenotype1_HALOMS86, diploidGenotype1_HALOMS91, diploidGenotype1_HALOMX66, diploidGenotype2_HALOM264, diploidGenotype2_HALOMS175, diploidGenotype2_HALOMS27, diploidGenotype2_HALOMS32, diploidGenotype2_HALOMS86, diploidGenotype2_HALOMS91, diploidGenotype2_HALOMX66, dmo, erddap, genotype1, genotype2, halom264, haloms175, haloms27, haloms32, haloms86, haloms91, halomx66, management, oceanography, office, preliminary, sample, sample_id, station
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/699458/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/699458
attribute	NC_GLOBAL	param_mapping	String	{'699458': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/699458/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of Hawaii at Manoa
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	SOEST
attribute	NC_GLOBAL	people_0_person_name	String	Erica Goetze
attribute	NC_GLOBAL	people_0_person_nid	String	473048
attribute	NC_GLOBAL	people_0_role	String	Principal Investigator
attribute	NC_GLOBAL	people_0_role_type	String	originator
attribute	NC_GLOBAL	people_1_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_1_person_name	String	Hannah Ake
attribute	NC_GLOBAL	people_1_person_nid	String	650173
attribute	NC_GLOBAL	people_1_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_1_role_type	String	related
attribute	NC_GLOBAL	project	String	Plankton Population Genetics,Plankton_PopStructure
attribute	NC_GLOBAL	projects_0_acronym	String	Plankton Population Genetics
attribute	NC_GLOBAL	projects_0_description	String	Description from NSF award abstract: Marine zooplankton show strong ecological responses to climate change, but little is known about their capacity for evolutionary response. Many authors have assumed that the evolutionary potential of zooplankton is limited. However, recent studies provide circumstantial evidence for the idea that selection is a dominant evolutionary force acting on these species, and that genetic isolation can be achieved at regional spatial scales in pelagic habitats. This RAPID project will take advantage of a unique opportunity for basin-scale transect sampling through participation in the Atlantic Meridional Transect (AMT) cruise in 2014. The cruise will traverse more than 90 degrees of latitude in the Atlantic Ocean and include boreal-temperate, subtropical and tropical waters. Zooplankton samples will be collected along the transect, and mitochondrial and microsatellite markers will be used to identify the geographic location of strong genetic breaks within three copepod species. Bayesian and coalescent analytical techniques will test if these regions act as dispersal barriers. The physiological condition of animals collected in distinct ocean habitats will be assessed by measurements of egg production (at sea) as well as body size (condition index), dry weight, and carbon and nitrogen content. The PI will test the prediction that ocean regions that serve as dispersal barriers for marine holoplankton are areas of poor-quality habitat for the target species, and that this is a dominant mechanism driving population genetic structure in oceanic zooplankton. Note: This project is funded by an NSF RAPID award. This RAPID grant supported the shiptime costs, and all the sampling reported in the AMT24 zooplankton ecology cruise report (PDF). Online science outreach blog at: https://atlanticplankton.wordpress.com
attribute	NC_GLOBAL	projects_0_end_date	String	2015-11
attribute	NC_GLOBAL	projects_0_geolocation	String	Atlantic Ocean, 46 N - 46 S
attribute	NC_GLOBAL	projects_0_name	String	Basin-scale genetics of marine zooplankton
attribute	NC_GLOBAL	projects_0_project_nid	String	537991
attribute	NC_GLOBAL	projects_0_start_date	String	2013-12
attribute	NC_GLOBAL	projects_1_acronym	String	Plankton_PopStructure
attribute	NC_GLOBAL	projects_1_description	String	Description from NSF award abstract: This research will test whether habitat depth specialization is a primary trait driving large-scale population genetic structure in open ocean zooplankton species. Very little is known about population connectivity in marine zooplankton. Although zooplankton were long thought to be high-gene-flow systems with little genetic differentiation among populations, recent observations have challenged this view. In fact, zooplankton species may be genetically subdivided at macrogeographic, regional, or even smaller spatial scales. Recent studies also indicate that subtle, species-specific ecological factors play an important role in controlling gene flow among plankton populations. The investigator hypothesizes that depth-related habitat, including diel vertical migration (DVM) behavior, plays a critical role in controlling dispersal of plankton among ocean regions, through interactions with ocean circulation and bathymetry. This study will compare the population genetic structures of eight planktonic copepods that utilize different depth-related habitats, in order to test key predictions of genetic structure based on the interaction of organismal depth with the oceanographic environment. The objectives of the research are to: 1) Develop novel nuclear markers that can be used to resolve genetic structure and estimate gene flow among copepod populations, 2) Characterize the spatial patterns of gene flow among populations in distinct ocean regions of the Atlantic, Pacific, and Indian Oceans for eight target species using a multilocus approach, and 3) Test the central hypothesis that depth-related habitat will significantly impact the extent of genetic structure both across and within ocean basins, the magnitude and direction of gene flow among populations, and in the timing of major slitting events within species. Drawing on genomic resources (cDNA libraries) recently developed by the PI, five (or more) polymorphic nuclear markers will be developed for each species. These new markers will be used, in combination with the mitochondrial gene cytochrome oxidase I, to characterize the population genetic structure of each species throughout its global distribution using graph theoretic and coalescent analytical techniques. Gene flow among populations and the timing of major splitting events will be estimated under a coalescent model (IMa), and empirical support for the hypothesis of depth-related trends in population structure will be assessed using graph theoretic congruence tests. Because the depth specialization and diel vertical migration behaviors of the target species are representative of distinct zooplankton species groups, the results of this study will have broad implications for understanding and predicting the genetic structure of these important grazers in pelagic ecosystems. Publications produced with support from this award include: Burridge, A., Goetze, E., Raes, N., Huisman, J., Peijnenburg, K. T. C. A.  (in revision)  Global biogeography and evolution of Cuvierina pteropods.   BMC Evolutionary Biology. Andrews, K. R., Norton, E. L., Fernandez-Silva, I., Portner†, E. Goetze, E. (in press) Multilocus evidence for globally-distributed cryptic species and distinct populations across ocean gyres in a mesopelagic copepod.  Molecular Ecology. Halbert , K. M. K., Goetze, E., Carlon, D. B. (2013) High cryptic diversity across the global range of the migratory planktonic copepods Pleuromamma piseki and P. gracilis.  PLOS One 8(10): e77011. doi:10.1371/journal.pone.0077011 Norton , E. L., Goetze, E. (2013) Equatorial dispersal barriers and limited connectivity among oceans in a planktonic copepod.  Limnology and Oceanography 58: 1581-1596. Peijnenburg, K. T. C. A., Goetze, E. (2013) High evolutionary potential of marine zooplankton.  Ecology & Evolution 3(8): 2765-2781.  doi: 10.1002/ece3.644   (both authors contributed equally). Fernandez-Silva, I., Whitney, J., Wainwright, B., Andrews, K. R., Ylitalo-Ward, H., Bowen, B. W., Toonen, R. J., Goetze, E., Karl, S. A. (2013) Microsatellites for Next-Generation Ecologists: A Post-Sequencing Bioinformatics Pipeline.  PLOS One 8(2): e55990. doi:10.1371/journal.pone.0055990 Bron, J. E., Frisch, D., Goetze, E., Johnson, S. C., Lee, C. E., Wyngaard, G. A. (2011) Observing Copepods through a Genomic Lens.  Frontiers in Zoology 8: 22. Goetze, E. (2011) Population differentiation in the open sea: Insights from the pelagic copepod Pleuromamma xiphias.  Integrative and Comparative Biology 51: 580-597.   Master’s theses supported under this award include: Emily L. Norton. Empirical and biophysical modeling studies of dispersal barriers for marine plankton. (2013).  University of Hawaii at Manoa. K. M. K. Halbert. Genetic isolation in the open sea: Cryptic diversity in the Pleuromamma piseki - P. gracilis species complex. (2013).  University of Hawaii at Manoa.
attribute	NC_GLOBAL	projects_1_end_date	String	2014-07
attribute	NC_GLOBAL	projects_1_geolocation	String	Global Ocean
attribute	NC_GLOBAL	projects_1_name	String	Does habitat specialization drive population genetic structure of oceanic zooplankton?
attribute	NC_GLOBAL	projects_1_project_nid	String	539717
attribute	NC_GLOBAL	projects_1_start_date	String	2010-08
attribute	NC_GLOBAL	publisher_name	String	Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute	NC_GLOBAL	publisher_type	String	institution
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Haloptilus longicornis population structure (Atlantic Ocean) - Microsatellite data.
attribute	NC_GLOBAL	title	String	[H. longicornis Population Structure] - Haloptilus longicornis population structure (Atlantic Ocean) - Microsatellite data. (Basin-scale genetics of marine zooplankton)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	station		String
attribute	station	bcodmo_name	String	station
attribute	station	description	String	Station number where sampling occurred
attribute	station	long_name	String	Station
attribute	station	units	String	unitless
variable	sample_id		String
attribute	sample_id	bcodmo_name	String	sample
attribute	sample_id	description	String	PI issued sample ID number
attribute	sample_id	long_name	String	Sample Id
attribute	sample_id	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/ACYC/
attribute	sample_id	units	String	unitless
variable	diploidGenotype1_HALOMS175		byte
attribute	diploidGenotype1_HALOMS175	_FillValue	byte	127
attribute	diploidGenotype1_HALOMS175	actual_range	byte	93, 113
attribute	diploidGenotype1_HALOMS175	bcodmo_name	String	count
attribute	diploidGenotype1_HALOMS175	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype1_HALOMS175	long_name	String	Diploid Genotype1 HALOMS175
attribute	diploidGenotype1_HALOMS175	units	String	count
variable	diploidGenotype2_HALOMS175		byte
attribute	diploidGenotype2_HALOMS175	_FillValue	byte	127
attribute	diploidGenotype2_HALOMS175	actual_range	byte	93, 119
attribute	diploidGenotype2_HALOMS175	bcodmo_name	String	count
attribute	diploidGenotype2_HALOMS175	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype2_HALOMS175	long_name	String	Diploid Genotype2 HALOMS175
attribute	diploidGenotype2_HALOMS175	units	String	count
variable	diploidGenotype1_HALOMS27		short
attribute	diploidGenotype1_HALOMS27	_FillValue	short	32767
attribute	diploidGenotype1_HALOMS27	actual_range	short	214, 258
attribute	diploidGenotype1_HALOMS27	bcodmo_name	String	count
attribute	diploidGenotype1_HALOMS27	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype1_HALOMS27	long_name	String	Diploid Genotype1 HALOMS27
attribute	diploidGenotype1_HALOMS27	units	String	count
variable	diploidGenotype2_HALOMS27		short
attribute	diploidGenotype2_HALOMS27	_FillValue	short	32767
attribute	diploidGenotype2_HALOMS27	actual_range	short	220, 258
attribute	diploidGenotype2_HALOMS27	bcodmo_name	String	count
attribute	diploidGenotype2_HALOMS27	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype2_HALOMS27	long_name	String	Diploid Genotype2 HALOMS27
attribute	diploidGenotype2_HALOMS27	units	String	count
variable	diploidGenotype1_HALOMS32		short
attribute	diploidGenotype1_HALOMS32	_FillValue	short	32767
attribute	diploidGenotype1_HALOMS32	actual_range	short	126, 150
attribute	diploidGenotype1_HALOMS32	bcodmo_name	String	count
attribute	diploidGenotype1_HALOMS32	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype1_HALOMS32	long_name	String	Diploid Genotype1 HALOMS32
attribute	diploidGenotype1_HALOMS32	units	String	count
variable	diploidGenotype2_HALOMS32		short
attribute	diploidGenotype2_HALOMS32	_FillValue	short	32767
attribute	diploidGenotype2_HALOMS32	actual_range	short	126, 159
attribute	diploidGenotype2_HALOMS32	bcodmo_name	String	count
attribute	diploidGenotype2_HALOMS32	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype2_HALOMS32	long_name	String	Diploid Genotype2 HALOMS32
attribute	diploidGenotype2_HALOMS32	units	String	count
variable	diploidGenotype1_HALOMS86		short
attribute	diploidGenotype1_HALOMS86	_FillValue	short	32767
attribute	diploidGenotype1_HALOMS86	actual_range	short	136, 181
attribute	diploidGenotype1_HALOMS86	bcodmo_name	String	count
attribute	diploidGenotype1_HALOMS86	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype1_HALOMS86	long_name	String	Diploid Genotype1 HALOMS86
attribute	diploidGenotype1_HALOMS86	units	String	count
variable	diploidGenotype2_HALOMS86		short
attribute	diploidGenotype2_HALOMS86	_FillValue	short	32767
attribute	diploidGenotype2_HALOMS86	actual_range	short	136, 181
attribute	diploidGenotype2_HALOMS86	bcodmo_name	String	count
attribute	diploidGenotype2_HALOMS86	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype2_HALOMS86	long_name	String	Diploid Genotype2 HALOMS86
attribute	diploidGenotype2_HALOMS86	units	String	count
variable	diploidGenotype1_HALOM264		short
attribute	diploidGenotype1_HALOM264	_FillValue	short	32767
attribute	diploidGenotype1_HALOM264	actual_range	short	151, 172
attribute	diploidGenotype1_HALOM264	bcodmo_name	String	count
attribute	diploidGenotype1_HALOM264	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype1_HALOM264	long_name	String	Diploid Genotype1 HALOM264
attribute	diploidGenotype1_HALOM264	units	String	count
variable	diploidGenotype2_HALOM264		short
attribute	diploidGenotype2_HALOM264	_FillValue	short	32767
attribute	diploidGenotype2_HALOM264	actual_range	short	163, 177
attribute	diploidGenotype2_HALOM264	bcodmo_name	String	count
attribute	diploidGenotype2_HALOM264	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype2_HALOM264	long_name	String	Diploid Genotype2 HALOM264
attribute	diploidGenotype2_HALOM264	units	String	count
variable	diploidGenotype1_HALOMS91		short
attribute	diploidGenotype1_HALOMS91	_FillValue	short	32767
attribute	diploidGenotype1_HALOMS91	actual_range	short	190, 212
attribute	diploidGenotype1_HALOMS91	bcodmo_name	String	count
attribute	diploidGenotype1_HALOMS91	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype1_HALOMS91	long_name	String	Diploid Genotype1 HALOMS91
attribute	diploidGenotype1_HALOMS91	units	String	count
variable	diploidGenotype2_HALOMS91		short
attribute	diploidGenotype2_HALOMS91	_FillValue	short	32767
attribute	diploidGenotype2_HALOMS91	actual_range	short	194, 218
attribute	diploidGenotype2_HALOMS91	bcodmo_name	String	count
attribute	diploidGenotype2_HALOMS91	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype2_HALOMS91	long_name	String	Diploid Genotype2 HALOMS91
attribute	diploidGenotype2_HALOMS91	units	String	count
variable	diploidGenotype1_HALOMX66		short
attribute	diploidGenotype1_HALOMX66	_FillValue	short	32767
attribute	diploidGenotype1_HALOMX66	actual_range	short	178, 193
attribute	diploidGenotype1_HALOMX66	bcodmo_name	String	count
attribute	diploidGenotype1_HALOMX66	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype1_HALOMX66	long_name	String	Diploid Genotype1 HALOMX66
attribute	diploidGenotype1_HALOMX66	units	String	count
variable	diploidGenotype2_HALOMX66		short
attribute	diploidGenotype2_HALOMX66	_FillValue	short	32767
attribute	diploidGenotype2_HALOMX66	actual_range	short	181, 196
attribute	diploidGenotype2_HALOMX66	bcodmo_name	String	count
attribute	diploidGenotype2_HALOMX66	description	String	Diploid genotypes reported for each locus and individual
attribute	diploidGenotype2_HALOMX66	long_name	String	Diploid Genotype2 HALOMX66
attribute	diploidGenotype2_HALOMX66	units	String	count

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.