cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6085/aa/smsxxx_015adcp015r00_20041130.50.8
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2004-11-30. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20041130.50.9
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2004-11-30. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.40.1
title: (:unkn)
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.40.2
title: (:unkn)
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.40.3
title: (:unkn)
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.50.1
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-03-02. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.50.10
title: CINMS/PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-03-02. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.50.11
title: CINMS/PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-03-02. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.50.12
title: CINMS/PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMSXXX)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-03-02. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.50.3
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-03-02. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.50.4
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-03-02. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.50.5
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-03-02. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050302.50.9
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-03-02. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050613.40.1
title: (:unkn)
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050613.40.2
title: (:unkn)
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050613.50.11
title: CINMS/PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-06-13. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050613.50.2
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-06-13. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 0.1 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050613.50.4
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-06-13. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.6085/aa/smsxxx_015adcp015r00_20050613.50.5
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: San Miguel Island, California, USA (SMS)

description: This metadata record describes bottom-mounted ADCP data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2005-06-13. The instrument depth was 015 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The instrument was programmed with a sampling interval of 2.0 minutes and a vertical resolution of 1 meter.
DOI: 10.5063/aa/nceas.956.1
title: Marine Valuation Workgroup GIS

description: This is GIS data set covering two California estuaries, San Francisco Bay and Ballona Wetlands. The data are anticipated land use covers following restoration programs. The SF Bay dataset comes from the Ecoatlas produced by SFEI and is based on a published scenario for future use. The Ballona wetlands data is based on the National Wetlands Inventory and restoration plans for the estuary
DOI: 10.5063/aa/nceas.958.1
title: POD data used in Changepoint and MAR analysis

description: The attached file has all the data used in the change-point and MAR manuscripts. The first sheet "variables" has the estimated values for each variable, the second sheet "SEs" the standard errors. The 3rd sheet has definitions and some explanations - tables in the MAR manuscript probably supersede these. The final sheet "Changepoint covariate matrix" is a matrix indicating which variables were candidates in the variable selection models in change-point (this info and related MAR info is in the manuscripts).
DOI: 10.5063/aa/nceas.958.3
title: POD data used in Changepoint and MAR analysis

description: The attached file has all the data used in the change-point and MAR manuscripts. The first sheet "variables" has the estimated values for each variable, the second sheet "SEs" the standard errors. The 3rd sheet has definitions and some explanations - tables in the MAR manuscript probably supersede these. The final sheet "Changepoint covariate matrix" is a matrix indicating which variables were candidates in the variable selection models in change-point (this info and related MAR info is in the manuscripts).
DOI: 10.5063/aa/nceas.958.7
title: POD! data used in Changepoint and MAR analysis

description: The attached file has all the data used in the change-point and MAR manuscripts. The first sheet "variables" has the estimated values for each variable, the second sheet "SEs" the standard errors. The 3rd sheet has definitions and some explanations - tables in the MAR manuscript probably supersede these. The final sheet "Changepoint covariate matrix" is a matrix indicating which variables were candidates in the variable selection models in change-point (this info and related MAR info is in the manuscripts).
DOI: 10.5063/aa/nceas.960.1
title: Producer Nutritional Quality Controls Ecosystem Trophic Structure

description: Publication abstract: Trophic structure, or the distribution of biomass among producers and consumers, determines key ecosystem values, such as the abundance of infectious, harvestable or conservation target species, and the storage and cycling of carbon and nutrients. There has been much debate on what controls ecosystem trophic structure, yet the answer is still elusive. Here we show that the nutritional quality of primary producers controls the trophic structure of ecosystems. By increasing the efficiency of trophic transfer, higher producer nutritional quality results in steeper ecosystem trophic structure, and those changes are more pronounced in terrestrial than in aquatic ecosystems probably due to the more stringent nutritional limitation of terrestrial herbivores. These results explain why ecosystems composed of highly nutritional primary producers feature high consumer productivity, fast energy recycling, and reduced carbon accumulation. Anthropogenic changes in producer nutritional quality, via changes in trophic structure, may alter the values and functions of ecosystems, and those alterations may be more important in terrestrial ecosystems.
DOI: 10.5063/aa/nceas.960.3
title: Producer Nutritional Quality Controls Ecosystem Trophic Structure

description: Publication abstract: Trophic structure, or the distribution of biomass among producers and consumers, determines key ecosystem values, such as the abundance of infectious, harvestable or conservation target species, and the storage and cycling of carbon and nutrients. There has been much debate on what controls ecosystem trophic structure, yet the answer is still elusive. Here we show that the nutritional quality of primary producers controls the trophic structure of ecosystems. By increasing the efficiency of trophic transfer, higher producer nutritional quality results in steeper ecosystem trophic structure, and those changes are more pronounced in terrestrial than in aquatic ecosystems probably due to the more stringent nutritional limitation of terrestrial herbivores. These results explain why ecosystems composed of highly nutritional primary producers feature high consumer productivity, fast energy recycling, and reduced carbon accumulation. Anthropogenic changes in producer nutritional quality, via changes in trophic structure, may alter the values and functions of ecosystems, and those alterations may be more important in terrestrial ecosystems.
DOI: 10.5063/aa/nceas.960.4
title: Producer Nutritional Quality Controls Ecosystem Trophic Structure

description: We compiled an unparalleled data set from the literature and other sources that includes measures of aboveground producer biomass, herbivore biomass, and producer nutritional quality expressed as nitrogen and phosphorus content in aboveground producer biomass (i.e. % of producer dry weight) for a broad range of aquatic and terrestrial ecosystems. The data compiled correspond to mean values that integrate the whole ecosystem over at least one year of observations.
DOI: 10.5063/aa/nceas.961.1
title: Literature review on the use of matrix population models for plants

description: In the past three decades, the role of matrix-based demographic models in plant conservation has steadily increased. However, the reliability of these methods remains hotly debated. Most tests of model performance have relied on strict conditions for either the data sets being tested or the criteria used to judge accuracy of the results. This leads to a potential disconnect between the variety of ways in which models are used in practice and the limited set of conditions where their performance has been evaluated. As part of our working group, we set out to introduce and apply the idea that relevant tests depend on how exactly matrix models are used for managing populations. To this end, we systematically assessed 397 matrix models for plant populations to determine which population metrics (e.g. population growth rate, sensitivity, extinction risk) are being most commonly used in the literature and how literally authors are interpreting these metrics as predictions. The data sets available here contain both the citation information for all of the plant studies that we identified and the results of our review (see Crone et al., In Review, Ecology Letters). We have attempted to provide a nearly complete census of the available literature from 1966 through April 2009.
DOI: 10.5063/aa/nceas.961.11
title: Literature review on the use of matrix population models for plants

description: In the past three decades, the role of matrix-based demographic models in plant conservation has steadily increased. However, the reliability of these methods remains hotly debated. Most tests of model performance have relied on strict conditions for either the data sets being tested or the criteria used to judge accuracy of the results. This leads to a potential disconnect between the variety of ways in which models are used in practice and the limited set of conditions where their performance has been evaluated. As part of our working group, we set out to introduce and apply the idea that relevant tests depend on how exactly matrix models are used for managing populations. To this end, we systematically assessed 397 matrix models for plant populations to determine which population metrics (e.g. population growth rate, sensitivity, extinction risk) are being most commonly used in the literature and how literally authors are interpreting these metrics as predictions. The data sets available here contain both the citation information for all of the plant studies that we identified and the results of our review (see Crone et al., In Review, Ecology Letters). We have attempted to provide a nearly complete census of the available literature from 1966 through April 2009.
DOI: 10.5063/aa/nceas.961.13
title: How do plant ecologists use matrix models?

description: In the past three decades, the role of matrix-based demographic models in plant conservation has steadily increased. However, the reliability of these methods remains hotly debated. Most tests of model performance have relied on strict conditions for either the data sets being tested or the criteria used to judge accuracy of the results. This leads to a potential disconnect between the variety of ways in which models are used in practice and the limited set of conditions where their performance has been evaluated. As part of our working group, we set out to introduce and apply the idea that relevant tests depend on how exactly matrix models are used for managing populations. To this end, we systematically assessed 397 matrix models for plant populations to determine which population metrics (e.g. population growth rate, sensitivity, extinction risk) are being most commonly used in the literature and how literally authors are interpreting these metrics as predictions. The data sets available here contain both the citation information for all of the plant studies that we identified and the results of our review (see Crone et al., In Review, Ecology Letters). We have attempted to provide a nearly complete census of the available literature from 1966 through April 2009.
DOI: 10.5063/aa/nceas.961.3
title: Literature review on the use of matrix population models for plants

description: In the past three decades, the role of matrix-based demographic models in plant conservation has steadily increased. However, the reliability of these methods remains hotly debated. Most tests of model performance have relied on strict conditions for either the data sets being tested or the criteria used to judge accuracy of the results. This leads to a potential disconnect between the variety of ways in which models are used in practice and the limited set of conditions where their performance has been evaluated. As part of our working group, we set out to introduce and apply the idea that relevant tests depend on how exactly matrix models are used for managing populations. To this end, we systematically assessed 397 matrix models for plant populations to determine which population metrics (e.g. population growth rate, sensitivity, extinction risk) are being most commonly used in the literature and how literally authors are interpreting these metrics as predictions. The data sets available here contain both the citation information for all of the plant studies that we identified and the results of our review (see Crone et al., In Review, Ecology Letters). We have attempted to provide a nearly complete census of the available literature from 1966 through April 2009.
DOI: 10.5063/aa/nceas.961.4
title: Literature review on the use of matrix population models for plants

description: In the past three decades, the role of matrix-based demographic models in plant conservation has steadily increased. However, the reliability of these methods remains hotly debated. Most tests of model performance have relied on strict conditions for either the data sets being tested or the criteria used to judge accuracy of the results. This leads to a potential disconnect between the variety of ways in which models are used in practice and the limited set of conditions where their performance has been evaluated. As part of our working group, we set out to introduce and apply the idea that relevant tests depend on how exactly matrix models are used for managing populations. To this end, we systematically assessed 397 matrix models for plant populations to determine which population metrics (e.g. population growth rate, sensitivity, extinction risk) are being most commonly used in the literature and how literally authors are interpreting these metrics as predictions. The data sets available here contain both the citation information for all of the plant studies that we identified and the results of our review (see Crone et al., In Review, Ecology Letters). We have attempted to provide a nearly complete census of the available literature from 1966 through April 2009.
DOI: 10.5063/aa/nceas.961.9
title: Literature review on the use of matrix population models for plants

description: In the past three decades, the role of matrix-based demographic models in plant conservation has steadily increased. However, the reliability of these methods remains hotly debated. Most tests of model performance have relied on strict conditions for either the data sets being tested or the criteria used to judge accuracy of the results. This leads to a potential disconnect between the variety of ways in which models are used in practice and the limited set of conditions where their performance has been evaluated. As part of our working group, we set out to introduce and apply the idea that relevant tests depend on how exactly matrix models are used for managing populations. To this end, we systematically assessed 397 matrix models for plant populations to determine which population metrics (e.g. population growth rate, sensitivity, extinction risk) are being most commonly used in the literature and how literally authors are interpreting these metrics as predictions. The data sets available here contain both the citation information for all of the plant studies that we identified and the results of our review (see Crone et al., In Review, Ecology Letters). We have attempted to provide a nearly complete census of the available literature from 1966 through April 2009.
DOI: 10.5063/aa/nceas.962.1
title: Chesapeake Chrysaora Purcell 1987-2005

description: Chesapeake Bay Chrysaora 1987-2005 from Net tows
DOI: 10.5063/aa/nceas.962.2
title: Chesapeake Chrysaora Purcell 1987-2005

description: Chesapeake Bay Chrysaora 1987-2005 from Net tows
DOI: 10.5063/aa/nceas.962.3
title: Chesapeake Chrysaora Purcell 1987-2005

description: Chesapeake Bay Chrysaora 1987-2005 from Net tows
DOI: 10.5063/aa/nceas.962.4
title: Chesapeake Chrysaora Purcell 1987-2005

description: Chesapeake Bay Chrysaora 1987-2005 from Net tows
DOI: 10.5063/aa/nceas.963.1
title: POD!_National Pollution Discharge Elimination System_Delta Discharge_1999-2007

description: NPDES
DOI: 10.5063/aa/nceas.963.20
title: POD!_National Pollution Discharge Elimination System_Delta Discharge_1998-2007

description: General water quality and toxicity data collected from 1998 to 2007 for compliance with National Pollution Discharge Elimination System (NPDES) permits by the following wastewater treatment plants: Brentwood Wastewater Treatment Plant; Discovery Bay Wastewater Treatment Plant; Manteca Wastewater Treatment Plant; Merced Wastewater Treatment Plant; Modesto Wastewater Treatment Plant; Mountain House Wastewater Treatment Plant; Rio Vista Beach Wastewater Treatment Plant; Sacramento Regional Wastewater Treatment Plant; Stockton Wastewater Treatment Plant; Tracy Wastewater Treatment Plant; Turlock Wastewater Treatment Plant; White Slough Water Pollution Control Plant (City of Lodi); Vacaville Wastewater Treatment Plant. Note: These data were transcribed from Excel and pdf files for formatting purposes and are presented as provided by the wastewater treatment plants.