BCO-DMO | ERDDAP - bcodmo_dataset_793571

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	The following methodology applies to this dataset in addition to other\ndatasets published in Edmunds et al. (2019).\n \nMethodology: \n This study was completed on the coral reefs of St. John, which have been the\nsubjects of time-series analyses for 32 years. The measurements described\nherein originated from a schedule of instrument deployments initiated in 2014\nto quantify variation in underwater physical environmental conditions, and\nultimately, to facilitate testing for their role in driving changes in benthic\ncommunity structure. As part of this schedule, rainfall was recorded\nthroughout the year, and a light meter was placed in Great Lameshur Bay in\nAugust 2017, with the objective of leaving it immersed for 6\\u201312 months.\nThree weeks later, the first of two Category 5 hurricanes impacted the island,\nwith the second arriving 14 days later. The discovery in July 2018 that this\nmeter had survived the storms, and had remained upright and functional,\ncreated the opportunity to describe underwater light during, and immediately\nafter, two major storms.\n \nRainfall was recorded on the north shore of St. John at Windswept Beach\n(18\\u00b0 21\\u00b4 20.95N, 64\\u00b0 45\\u00b4 57.53W), where a 20.3 cm,\nStandard Rain Gauge (NOAA, National Weather Service) was mounted on a roof,\n1.5 m above the ground. This rain gauge was ~ 6.7 km from the underwater light\nsensor, and was emptied and read on a daily basis.\n \nUnderwater light was recorded with a light meter (Compact LW, JFE Advantech\nCo., Ltd, Japan) fitted with a cosine-corrected sensor recording\nphotosynthetically active radiation (PAR, 400-700 nm wavelength) as\nphotosynthetic photon flux density (PPFD). The meter was equipped with a\nmechanical wiper that cleaned the sensor before every measurement, and it was\nmounted with the sensor at 19.1-m depth on the eastern side of Great Lameshur\nBay (18\\u00b0 18\\u00b4 37.04N, 63\\u00b0 43\\u00b4 23.17W. The instrument was\noperated in burst mode during which 10 measurements were recorded every 180\nminutes, with 30 seconds separating measurements within a burst. This sampling\nregime ensured that the battery would support a deployment of one year. The\nCompact LW meter is designed for oceanographic applications to 200-m depth, is\nfitted with a photodiode sensor, and has an accuracy of \\u00b1 4% (over\n0\\u20132,000 \\u00b5mol photons m-2 s-1) and resolution of 0.1 \\u00b5mol\nphotons m-2 s-1. The sensors are calibrated by the manufacturer, with the\ncalibration stable for at least 1 year. When the meter was deployed in August\n2017, it had been used underwater for ~ 16 mo in previous deployments, and\ninitial records of PPFD were similar to those previously recorded at the same\ndepth and time of year in St. John, which suggested that the calibration had\nnot appreciably drifted.\n \nPPFD also was measured on the surface, using two cosine-corrected sensors\n(S-LIA-M003, Onset Computer Corporation) mounted ~ 4 m above sea level on the\nroof of the lab, ~ 0.875 km from the underwater sensor. The surface sensors\nwere attached to weather stations (Micro Station Data Logger H21-002, Onset\nComputer Corporation) that recorded light every 5 minutes. The two sensors\nwere calibrated by the manufacturers, and were operated in a paired mode to\ndetect spurious records and sensor drift, and to guard against equipment\nmalfunction.
attribute	NC_GLOBAL	awards_0_award_nid	String	722162
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1801335
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1801335
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	Daniel Thornhill
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	722161
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Edmunds et al. MarBio 2019a: Kd data \n PI: Peter J. Edmunds \n Data Version 1: 2020-02-17
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	dataset_current_state	String	Final and no updates
attribute	NC_GLOBAL	date_created	String	2020-02-17T17:31:29Z
attribute	NC_GLOBAL	date_modified	String	2020-02-18T17:54:23Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.793571.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/793571
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	AWS
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	A Standard Rain Gauge (NOAA, National Weather Service) was mounted on a roof 1.5 m above the ground.
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	793579
attribute	NC_GLOBAL	instruments_0_description	String	Land-based AWS systems are designed to record meteorological information.
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/102/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	Automated Weather Station
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	407
attribute	NC_GLOBAL	instruments_0_supplied_name	String	Standard Rain Gauge
attribute	NC_GLOBAL	instruments_1_acronym	String	Light Meter
attribute	NC_GLOBAL	instruments_1_dataset_instrument_description	String	Underwater light was recorded with a light meter (Compact LW, JFE Advantech Co., Ltd, Japan) fitted with a cosine-corrected sensor recording photosynthetically active radiation (PAR, 400-700 nm wavelength) as photosynthetic photon flux density (PPFD).
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	793578
attribute	NC_GLOBAL	instruments_1_description	String	Light meters are instruments that measure light intensity. Common units of measure for light intensity are umol/m2/s or uE/m2/s (micromoles per meter squared per second or microEinsteins per meter squared per second). (example: LI-COR 250A)
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Light Meter
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	703
attribute	NC_GLOBAL	instruments_1_supplied_name	String	Compact LW
attribute	NC_GLOBAL	instruments_2_acronym	String	Light Meter
attribute	NC_GLOBAL	instruments_2_dataset_instrument_description	String	PPFD was measured on the surface, using two cosine-corrected sensors (S-LIA-M003, Onset Computer Corporation)
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	793580
attribute	NC_GLOBAL	instruments_2_description	String	Light meters are instruments that measure light intensity. Common units of measure for light intensity are umol/m2/s or uE/m2/s (micromoles per meter squared per second or microEinsteins per meter squared per second). (example: LI-COR 250A)
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Light Meter
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	703
attribute	NC_GLOBAL	instruments_2_supplied_name	String	S-LIA-M003, Onset Computer Corporation
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, iso, ISO_DateTime_UTC, light, local, management, oceanography, office, percent, preliminary, surface, Surface_Light, time, transmition, Transmition_Percent, underwater, Underwater_Light
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/793571/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/793571
attribute	NC_GLOBAL	param_mapping	String	{'793571': {'ISO_DateTime_UTC': 'master - time'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/793571/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	California State University Northridge
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	CSU-Northridge
attribute	NC_GLOBAL	people_0_person_name	String	Peter J. Edmunds
attribute	NC_GLOBAL	people_0_person_nid	String	51536
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	California State University Northridge
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	CSU-Northridge
attribute	NC_GLOBAL	people_1_person_name	String	Dr Georgios Tsounis
attribute	NC_GLOBAL	people_1_person_nid	String	565353
attribute	NC_GLOBAL	people_1_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_1_role_type	String	originator
attribute	NC_GLOBAL	people_2_affiliation	String	Laboratoire d'Écogéochimie des Environnements Benthiques
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	LECOB
attribute	NC_GLOBAL	people_2_person_name	String	Dr Lorenzo Bramanti
attribute	NC_GLOBAL	people_2_person_nid	String	562094
attribute	NC_GLOBAL	people_2_role	String	Contact
attribute	NC_GLOBAL	people_2_role_type	String	related
attribute	NC_GLOBAL	people_3_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_3_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_3_person_name	String	Amber D. York
attribute	NC_GLOBAL	people_3_person_nid	String	643627
attribute	NC_GLOBAL	people_3_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_3_role_type	String	related
attribute	NC_GLOBAL	project	String	Hurricane Irma and St. John Reefs
attribute	NC_GLOBAL	projects_0_acronym	String	Hurricane Irma and St. John Reefs
attribute	NC_GLOBAL	projects_0_description	String	Coral reefs have long been recognized for their diversity, and unique functional roles, but these features have been undermined by decades of disturbances that cast doubt on their ability to survive. Against this backdrop, 2017 brought two hurricanes of unprecedented magnitude to the Caribbean, both of which damaged coral reefs that already were degraded compared to those of a few decades ago. While the impacts of these storms on some of the few coral reefs protected within the US National Park and National Monument systems is particularly unfortunate, it also creates unique opportunities to understand the impacts on coral reefs that have been studied in detail for decades. This project builds on these opportunities by leveraging 31 years of coral reef monitoring research, much of which has been supported by NSF, to describe the impacts of Hurricanes Irma and Maria on coral reefs in St. John, US Virgin Islands. That the analyses will reveal severe destruction is a forgone conclusion, but what remains unknown is how present-day reefs will respond to severe versions of a well-known disturbance (hurricanes), and how these effects will impact their long-term survival. Post-storm surveys and new analyses will be used to determine whether ongoing declines in coral abundance have influenced the way coral reefs respond to storms, notably to enhance post-storm mortality, and reduce the capacity to recover from such event. To achieve these outcomes, a team of researchers from California State University, Northridge, will use a cruise on the R/V Walton Smith to survey the reefs of St. John using photography and in-water counts to generate data that will be analyzed throughout 2018. The benefits of this research will extend beyond scientific discoveries to include leveraged support for other scientists participating in the cruise, evaluation of the status of natural resources in the VI National Park, the delivery of relief supplies from Miami to St. John, and the creation of unique research and training opportunities for graduate students who will participate in all phases of the project.\nCoral reefs have undergone dramatic changes in community structure since they were first described in the 1950's, and the current onslaught of threats from rising temperature, declining seawater pH, storms, and numerous other events has cast doubt on their persistence in the Athropocene. With such profound changes underway, time-series analyses of community structure are on the cutting edge of contemporary studies of coral reefs. In the Caribbean, the impact of two category 5 hurricanes underscores why time-series are important, as they are the only means to describe the impact of such events, and critically, create the context for testing hypotheses regarding impacts and consequences of disturbances. This project addresses the impacts of Hurricanes Irma and Maria on the coral reefs of St. John, US Virgin Islands, which have been studied since the 1950's, and for the last 31 years largely with NSF LTREB support. This support provides descriptions of the population dynamics of the important coral, Orbicella annularis, and the coral community dynamics in adjacent habitats. Any study of the effects of these storms will demonstrate that large waves kill corals, but here intellectual merit is acquired through testing of general hypotheses: (1) storm impacts on O. annularis will be colony-density dependent, (2) delayed coral mortality will be accentuated compared to previous storms, (3) the resilience of coral communities to physical disturbances has declined since 1989, and (4) evolutionary rescue will mediate reef recovery for select corals through large initial population sizes, density-dependent population growth, and recruitment. These hypotheses will be tested using a 14 day cruise on the R/V Walton Smith to collect critical time-sensitive data, followed by a year of analysis of new and legacy photographic data.
attribute	NC_GLOBAL	projects_0_end_date	String	2018-10
attribute	NC_GLOBAL	projects_0_geolocation	String	St. John, US Virgin Islands
attribute	NC_GLOBAL	projects_0_name	String	RAPID: Hurricane Irma: Effects of repeated severe storms on shallow Caribbean reefs and their changing ecological resilience
attribute	NC_GLOBAL	projects_0_project_nid	String	722163
attribute	NC_GLOBAL	projects_0_project_website	String	http://coralreefs.csun.edu
attribute	NC_GLOBAL	projects_0_start_date	String	2017-11
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	Light data (Kd) from surveys conducted in Great Lameshur Bay, St. John, US Virgin Islands in 2017. These data were used in Edmunds et al. (2019) in Figure 2.
attribute	NC_GLOBAL	time_coverage_end	String	2017-11-30T17:02Z
attribute	NC_GLOBAL	time_coverage_start	String	2017-08-17T17:02Z
attribute	NC_GLOBAL	title	String	[Edmunds et al. MarBio 2019a: Kd data] - Light data (Kd) from surveys conducted in St. John, US Virgin Islands in 2017 (RAPID: Hurricane Irma: Effects of repeated severe storms on shallow Caribbean reefs and their changing ecological resilience)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.5
variable	DateTime_Local		String
attribute	DateTime_Local	bcodmo_name	String	DateTime
attribute	DateTime_Local	description	String	Local date (AST,UTC-4) and time recorded against surface time in ISO format yyyy-mm-dd HH:MM
attribute	DateTime_Local	long_name	String	Date Time Local
attribute	DateTime_Local	source_name	String	DateTime_Local
attribute	DateTime_Local	time_precision	String	1970-01-01T00:00Z
attribute	DateTime_Local	units	String	unitless
variable	Surface_Light		float
attribute	Surface_Light	_FillValue	float	NaN
attribute	Surface_Light	actual_range	float	33.7, 2516.2
attribute	Surface_Light	bcodmo_name	String	PAR
attribute	Surface_Light	description	String	Surface PAR
attribute	Surface_Light	long_name	String	Surface Light
attribute	Surface_Light	units	String	micromoles per square meter per second (µmol quanta/m2/s)
variable	Underwater_Light		float
attribute	Underwater_Light	_FillValue	float	NaN
attribute	Underwater_Light	actual_range	float	0.2, 511.7
attribute	Underwater_Light	bcodmo_name	String	PAR
attribute	Underwater_Light	description	String	Underwater PAR
attribute	Underwater_Light	long_name	String	Underwater Light
attribute	Underwater_Light	units	String	micromoles per square meter per second (µmol quanta/m2/s)
variable	Kd		float
attribute	Kd	_FillValue	float	NaN
attribute	Kd	actual_range	float	0.066, 0.426
attribute	Kd	bcodmo_name	String	unknown
attribute	Kd	description	String	Diffuse attenuation coefficient for downwelling irradiance (Kd). See methodology for calculation.
attribute	Kd	long_name	String	KD
attribute	Kd	units	String	unitless
variable	Transmition_Percent		float
attribute	Transmition_Percent	_FillValue	float	NaN
attribute	Transmition_Percent	actual_range	float	0.0, 25.5
attribute	Transmition_Percent	bcodmo_name	String	transmission
attribute	Transmition_Percent	colorBarMaximum	double	100.0
attribute	Transmition_Percent	colorBarMinimum	double	0.0
attribute	Transmition_Percent	description	String	Mean light transmission percent to depth
attribute	Transmition_Percent	long_name	String	Transmition Percent
attribute	Transmition_Percent	units	String	percent
variable	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.50298932E9, 1.51206132E9
attribute	time	axis	String	T
attribute	time	bcodmo_name	String	ISO_DateTime_UTC
attribute	time	description	String	Date time (UTC) in ISO format yyyy-mm-ddTHH:MMZ
attribute	time	ioos_category	String	Time
attribute	time	long_name	String	ISO Date Time UTC
attribute	time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/
attribute	time	standard_name	String	time
attribute	time	time_origin	String	01-JAN-1970 00:00:00
attribute	time	time_precision	String	1970-01-01T00:00Z
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z

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

The following methodology applies to this dataset in addition to other\ndatasets published in Edmunds et al. (2019).\n \nMethodology: \n This study was completed on the coral reefs of St. John, which have been the\nsubjects of time-series analyses for 32 years. The measurements described\nherein originated from a schedule of instrument deployments initiated in 2014\nto quantify variation in underwater physical environmental conditions, and\nultimately, to facilitate testing for their role in driving changes in benthic\ncommunity structure. As part of this schedule, rainfall was recorded\nthroughout the year, and a light meter was placed in Great Lameshur Bay in\nAugust 2017, with the objective of leaving it immersed for 6\\u201312 months.\nThree weeks later, the first of two Category 5 hurricanes impacted the island,\nwith the second arriving 14 days later. The discovery in July 2018 that this\nmeter had survived the storms, and had remained upright and functional,\ncreated the opportunity to describe underwater light during, and immediately\nafter, two major storms.\n \nRainfall was recorded on the north shore of St. John at Windswept Beach\n(18\\u00b0 21\\u00b4 20.95N, 64\\u00b0 45\\u00b4 57.53W), where a 20.3 cm,\nStandard Rain Gauge (NOAA, National Weather Service) was mounted on a roof,\n1.5 m above the ground. This rain gauge was ~ 6.7 km from the underwater light\nsensor, and was emptied and read on a daily basis.\n \nUnderwater light was recorded with a light meter (Compact LW, JFE Advantech\nCo., Ltd, Japan) fitted with a cosine-corrected sensor recording\nphotosynthetically active radiation (PAR, 400-700 nm wavelength) as\nphotosynthetic photon flux density (PPFD). The meter was equipped with a\nmechanical wiper that cleaned the sensor before every measurement, and it was\nmounted with the sensor at 19.1-m depth on the eastern side of Great Lameshur\nBay (18\\u00b0 18\\u00b4 37.04N, 63\\u00b0 43\\u00b4 23.17W. The instrument was\noperated in burst mode during which 10 measurements were recorded every 180\nminutes, with 30 seconds separating measurements within a burst. This sampling\nregime ensured that the battery would support a deployment of one year. The\nCompact LW meter is designed for oceanographic applications to 200-m depth, is\nfitted with a photodiode sensor, and has an accuracy of \\u00b1 4% (over\n0\\u20132,000 \\u00b5mol photons m-2 s-1) and resolution of 0.1 \\u00b5mol\nphotons m-2 s-1. The sensors are calibrated by the manufacturer, with the\ncalibration stable for at least 1 year. When the meter was deployed in August\n2017, it had been used underwater for ~ 16 mo in previous deployments, and\ninitial records of PPFD were similar to those previously recorded at the same\ndepth and time of year in St. John, which suggested that the calibration had\nnot appreciably drifted.\n \nPPFD also was measured on the surface, using two cosine-corrected sensors\n(S-LIA-M003, Onset Computer Corporation) mounted ~ 4 m above sea level on the\nroof of the lab, ~ 0.875 km from the underwater sensor. The surface sensors\nwere attached to weather stations (Micro Station Data Logger H21-002, Onset\nComputer Corporation) that recorded light every 5 minutes. The two sensors\nwere calibrated by the manufacturers, and were operated in a paired mode to\ndetect spurious records and sensor drift, and to guard against equipment\nmalfunction.

attribute

NC_GLOBAL

awards_0_award_nid

String

722162

attribute

NC_GLOBAL

awards_0_award_number

String

OCE-1801335

attribute

NC_GLOBAL

awards_0_data_url

String

http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1801335 (external link)

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

Daniel Thornhill

attribute

NC_GLOBAL

awards_0_program_manager_nid

String

722161

attribute

NC_GLOBAL

cdm_data_type

String

Other

attribute

NC_GLOBAL

comment

String

Edmunds et al. MarBio 2019a: Kd data \n PI: Peter J. Edmunds \n Data Version 1: 2020-02-17

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/ (external link)

attribute

NC_GLOBAL

data_source

String

extract_data_as_tsv version 2.3 19 Dec 2019

attribute

NC_GLOBAL

dataset_current_state

String

Final and no updates

attribute

NC_GLOBAL

date_created

String

2020-02-17T17:31:29Z

attribute

NC_GLOBAL

date_modified

String

2020-02-18T17:54:23Z

attribute

NC_GLOBAL

defaultDataQuery

String

&time<now

attribute

NC_GLOBAL

doi

String

10.1575/1912/bco-dmo.793571.1

attribute

NC_GLOBAL

infoUrl

String

https://www.bco-dmo.org/dataset/793571 (external link)

attribute

NC_GLOBAL

institution

String

BCO-DMO

attribute

NC_GLOBAL

instruments_0_acronym

String

AWS

attribute

NC_GLOBAL

instruments_0_dataset_instrument_description

String

A Standard Rain Gauge (NOAA, National Weather Service) was mounted on a roof 1.5 m above the ground.

attribute

NC_GLOBAL

instruments_0_dataset_instrument_nid

String

793579

attribute

NC_GLOBAL

instruments_0_description

String

Land-based AWS systems are designed to record meteorological information.

attribute

NC_GLOBAL

instruments_0_instrument_external_identifier

String

https://vocab.nerc.ac.uk/collection/L05/current/102/ (external link)

attribute

NC_GLOBAL

instruments_0_instrument_name

String

Automated Weather Station

attribute

NC_GLOBAL

instruments_0_instrument_nid

String

407

attribute

NC_GLOBAL

instruments_0_supplied_name

String

Standard Rain Gauge

attribute

NC_GLOBAL

instruments_1_acronym

String

Light Meter

attribute

NC_GLOBAL

instruments_1_dataset_instrument_description

String

Underwater light was recorded with a light meter (Compact LW, JFE Advantech Co., Ltd, Japan) fitted with a cosine-corrected sensor recording photosynthetically active radiation (PAR, 400-700 nm wavelength) as photosynthetic photon flux density (PPFD).

attribute

NC_GLOBAL

instruments_1_dataset_instrument_nid

String

793578

attribute

NC_GLOBAL

instruments_1_description

String

Light meters are instruments that measure light intensity. Common units of measure for light intensity are umol/m2/s or uE/m2/s (micromoles per meter squared per second or microEinsteins per meter squared per second). (example: LI-COR 250A)

attribute

NC_GLOBAL

instruments_1_instrument_name

String

Light Meter

attribute

NC_GLOBAL

instruments_1_instrument_nid

String

703

attribute

NC_GLOBAL

instruments_1_supplied_name

String

Compact LW

attribute

NC_GLOBAL

instruments_2_acronym

String

Light Meter

attribute

NC_GLOBAL

instruments_2_dataset_instrument_description

String

PPFD was measured on the surface, using two cosine-corrected sensors (S-LIA-M003, Onset Computer Corporation)

attribute

NC_GLOBAL

instruments_2_dataset_instrument_nid

String

793580

attribute

NC_GLOBAL

instruments_2_description

String

attribute

NC_GLOBAL

instruments_2_instrument_name

String

Light Meter

attribute

NC_GLOBAL

instruments_2_instrument_nid

String

703

attribute

NC_GLOBAL

instruments_2_supplied_name

String

S-LIA-M003, Onset Computer Corporation

attribute

NC_GLOBAL

keywords

String

bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, iso, ISO_DateTime_UTC, light, local, management, oceanography, office, percent, preliminary, surface, Surface_Light, time, transmition, Transmition_Percent, underwater, Underwater_Light

attribute

NC_GLOBAL

license

String

https://www.bco-dmo.org/dataset/793571/license (external link)

attribute

NC_GLOBAL

metadata_source

String

https://www.bco-dmo.org/api/dataset/793571 (external link)

attribute

NC_GLOBAL

param_mapping

String

{'793571': {'ISO_DateTime_UTC': 'master - time'}}

attribute

NC_GLOBAL

parameter_source

String

https://www.bco-dmo.org/mapserver/dataset/793571/parameters (external link)

attribute

NC_GLOBAL

people_0_affiliation

String

California State University Northridge

attribute

NC_GLOBAL

people_0_affiliation_acronym

String

CSU-Northridge

attribute

NC_GLOBAL

people_0_person_name

String

Peter J. Edmunds

attribute

NC_GLOBAL

people_0_person_nid

String

51536

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

California State University Northridge

attribute

NC_GLOBAL

people_1_affiliation_acronym

String

CSU-Northridge

attribute

NC_GLOBAL

people_1_person_name

String

Dr Georgios Tsounis

attribute

NC_GLOBAL

people_1_person_nid

String

565353

attribute

NC_GLOBAL

people_1_role

String

Co-Principal Investigator

attribute

NC_GLOBAL

people_1_role_type

String

originator

attribute

NC_GLOBAL

people_2_affiliation

String

Laboratoire d'Écogéochimie des Environnements Benthiques

attribute

NC_GLOBAL

people_2_affiliation_acronym

String

LECOB

attribute

NC_GLOBAL

people_2_person_name

String

Dr Lorenzo Bramanti

attribute

NC_GLOBAL

people_2_person_nid

String

562094

attribute

NC_GLOBAL

people_2_role

String

Contact

attribute

NC_GLOBAL

people_2_role_type

String

attribute

NC_GLOBAL

people_3_affiliation

String

Woods Hole Oceanographic Institution

attribute

NC_GLOBAL

people_3_affiliation_acronym

String

WHOI BCO-DMO

attribute

NC_GLOBAL

people_3_person_name

String

Amber D. York

attribute

NC_GLOBAL

people_3_person_nid

String

643627

attribute

NC_GLOBAL

people_3_role

String

BCO-DMO Data Manager

attribute

NC_GLOBAL

people_3_role_type

String

attribute

NC_GLOBAL

project

String

Hurricane Irma and St. John Reefs

attribute

NC_GLOBAL

projects_0_acronym

String

Hurricane Irma and St. John Reefs

attribute

NC_GLOBAL

projects_0_description

String

Coral reefs have long been recognized for their diversity, and unique functional roles, but these features have been undermined by decades of disturbances that cast doubt on their ability to survive. Against this backdrop, 2017 brought two hurricanes of unprecedented magnitude to the Caribbean, both of which damaged coral reefs that already were degraded compared to those of a few decades ago. While the impacts of these storms on some of the few coral reefs protected within the US National Park and National Monument systems is particularly unfortunate, it also creates unique opportunities to understand the impacts on coral reefs that have been studied in detail for decades. This project builds on these opportunities by leveraging 31 years of coral reef monitoring research, much of which has been supported by NSF, to describe the impacts of Hurricanes Irma and Maria on coral reefs in St. John, US Virgin Islands. That the analyses will reveal severe destruction is a forgone conclusion, but what remains unknown is how present-day reefs will respond to severe versions of a well-known disturbance (hurricanes), and how these effects will impact their long-term survival. Post-storm surveys and new analyses will be used to determine whether ongoing declines in coral abundance have influenced the way coral reefs respond to storms, notably to enhance post-storm mortality, and reduce the capacity to recover from such event. To achieve these outcomes, a team of researchers from California State University, Northridge, will use a cruise on the R/V Walton Smith to survey the reefs of St. John using photography and in-water counts to generate data that will be analyzed throughout 2018. The benefits of this research will extend beyond scientific discoveries to include leveraged support for other scientists participating in the cruise, evaluation of the status of natural resources in the VI National Park, the delivery of relief supplies from Miami to St. John, and the creation of unique research and training opportunities for graduate students who will participate in all phases of the project.\nCoral reefs have undergone dramatic changes in community structure since they were first described in the 1950's, and the current onslaught of threats from rising temperature, declining seawater pH, storms, and numerous other events has cast doubt on their persistence in the Athropocene. With such profound changes underway, time-series analyses of community structure are on the cutting edge of contemporary studies of coral reefs. In the Caribbean, the impact of two category 5 hurricanes underscores why time-series are important, as they are the only means to describe the impact of such events, and critically, create the context for testing hypotheses regarding impacts and consequences of disturbances. This project addresses the impacts of Hurricanes Irma and Maria on the coral reefs of St. John, US Virgin Islands, which have been studied since the 1950's, and for the last 31 years largely with NSF LTREB support. This support provides descriptions of the population dynamics of the important coral, Orbicella annularis, and the coral community dynamics in adjacent habitats. Any study of the effects of these storms will demonstrate that large waves kill corals, but here intellectual merit is acquired through testing of general hypotheses: (1) storm impacts on O. annularis will be colony-density dependent, (2) delayed coral mortality will be accentuated compared to previous storms, (3) the resilience of coral communities to physical disturbances has declined since 1989, and (4) evolutionary rescue will mediate reef recovery for select corals through large initial population sizes, density-dependent population growth, and recruitment. These hypotheses will be tested using a 14 day cruise on the R/V Walton Smith to collect critical time-sensitive data, followed by a year of analysis of new and legacy photographic data.

attribute

NC_GLOBAL

projects_0_end_date

String

2018-10

attribute

NC_GLOBAL

projects_0_geolocation

String

St. John, US Virgin Islands

attribute

NC_GLOBAL

projects_0_name

String

RAPID: Hurricane Irma: Effects of repeated severe storms on shallow Caribbean reefs and their changing ecological resilience

attribute

NC_GLOBAL

projects_0_project_nid

String

722163

attribute

NC_GLOBAL

projects_0_project_website

String

http://coralreefs.csun.edu (external link)

attribute

NC_GLOBAL

projects_0_start_date

String

2017-11

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

Light data (Kd) from surveys conducted in Great Lameshur Bay, St. John, US Virgin Islands in 2017. These data were used in Edmunds et al. (2019) in Figure 2.

attribute

NC_GLOBAL

time_coverage_end

String

2017-11-30T17:02Z

attribute

NC_GLOBAL

time_coverage_start

String

2017-08-17T17:02Z

attribute

NC_GLOBAL

title

String

[Edmunds et al. MarBio 2019a: Kd data] - Light data (Kd) from surveys conducted in St. John, US Virgin Islands in 2017 (RAPID: Hurricane Irma: Effects of repeated severe storms on shallow Caribbean reefs and their changing ecological resilience)

attribute

NC_GLOBAL

version

String

attribute

NC_GLOBAL

xml_source

String

osprey2erddap.update_xml() v1.5

variable

DateTime_Local

String

attribute

DateTime_Local

bcodmo_name

String

DateTime

attribute

DateTime_Local

description

String

Local date (AST,UTC-4) and time recorded against surface time in ISO format yyyy-mm-dd HH:MM

attribute

DateTime_Local

long_name

String

Date Time Local

attribute

DateTime_Local

source_name

String

DateTime_Local

attribute

DateTime_Local

time_precision

String

1970-01-01T00:00Z

attribute

DateTime_Local

units

String

unitless

variable

Surface_Light

float

attribute

Surface_Light

_FillValue

float

NaN

attribute

Surface_Light

actual_range

float

33.7, 2516.2

attribute

Surface_Light

bcodmo_name

String

PAR

attribute

Surface_Light

description

String

Surface PAR

attribute

Surface_Light

long_name

String

Surface Light

attribute

Surface_Light

units

String

micromoles per square meter per second (µmol quanta/m2/s)

variable

Underwater_Light

float

attribute

Underwater_Light

_FillValue

float

NaN

attribute

Underwater_Light

actual_range

float

0.2, 511.7

attribute

Underwater_Light

bcodmo_name

String

PAR

attribute

Underwater_Light

description

String

Underwater PAR

attribute

Underwater_Light

long_name

String

Underwater Light

attribute

Underwater_Light

units

String

micromoles per square meter per second (µmol quanta/m2/s)

variable

float

attribute

_FillValue

float

NaN

attribute

actual_range

float

0.066, 0.426

attribute

bcodmo_name

String

unknown

attribute

description

String

Diffuse attenuation coefficient for downwelling irradiance (Kd). See methodology for calculation.

attribute

long_name

String

attribute

units

String

unitless

variable

Transmition_Percent

float

attribute

Transmition_Percent

_FillValue

float

NaN

attribute

Transmition_Percent

actual_range

float

0.0, 25.5

attribute

Transmition_Percent

bcodmo_name

String

transmission

attribute

Transmition_Percent

colorBarMaximum

double

100.0

attribute

Transmition_Percent

colorBarMinimum

double

0.0

attribute

Transmition_Percent

description

String

Mean light transmission percent to depth

attribute

Transmition_Percent

long_name

String

Transmition Percent

attribute

Transmition_Percent

units

String

percent

variable

time

double

attribute

time

_CoordinateAxisType

String

Time

attribute

time

actual_range

double

1.50298932E9, 1.51206132E9

attribute

time

axis

String

attribute

time

bcodmo_name

String

ISO_DateTime_UTC

attribute

time

description

String

Date time (UTC) in ISO format yyyy-mm-ddTHH:MMZ

attribute

time

ioos_category

String

Time

attribute

time

long_name

String

ISO Date Time UTC

attribute

time

nerc_identifier

String

https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/ (external link)

attribute

time

standard_name

String

time

attribute

time

time_origin

String

01-JAN-1970 00:00:00

attribute

time

time_precision

String

1970-01-01T00:00Z

attribute

time

units

String

seconds since 1970-01-01T00:00:00Z

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