cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/aa/nceas.19.2
title: Insights on community dynamics from large-scale, long-term data: time series for zooplankton and environmental variates from 35 North American lakes

description: NCEAS-1998-2244-NonDist-Dataset: The NCEAS Community Dynamics Working Group brought together theoretical and empirical ecologists to evaluate the relative importance of intrinsic and extrinsic sources of variability in natural communities. We focused on zooplankton community dynamics, in part because we had access to extensive time series data on zooplankton community structure from 35 North American lakes. Thirty-four of the lakes were concentrated at 5 sites: the North Temperate Lakes LTER site in Wisconsin; the University of Notre Dame Environmental Research Center in Michigan; the Dorset Environmental Research Centre, the Experimental Lakes Area, and the Sudbury region, all in Ontario. We also have data for saline Mono Lake in California. Our database has many strengths, including the length of the time series (5-21 years); consistent sampling methodologies, particularly for zooplankton; and the availability of information on environmental factors, including phytoplankton, physical parameters, and water chemistry. Another unique aspect of our dataset is that it includes data from both undisturbed reference lakes and experimentally manipulated lakes. The whole-lake experiments include food web manipulations, nutrient enrichments, acidifications and limings, and an unplanned invasion of an exotic species. Some of the experimental manipulations are even replicated within and among sites, providing a unique opportunity to explore the extent to which responses to a particular perturbation are consistent across lakes. In addition to determining how manipulations change the dynamics of zooplankton communities, we are using the data from the reference lakes to establish bounds on
DOI: 10.5063/aa/nceas.19.3
title: Insights on community dynamics from large-scale, long-term data: time series for zooplankton and environmental variates from 35 North American lakes

description: NCEAS-1998-2244-NonDist-Dataset: The NCEAS Community Dynamics Working Group brought together theoretical and empirical ecologists to evaluate the relative importance of intrinsic and extrinsic sources of variability in natural communities. We focused on zooplankton community dynamics, in part because we had access to extensive time series data on zooplankton community structure from 35 North American lakes. Thirty-four of the lakes were concentrated at 5 sites: the North Temperate Lakes LTER site in Wisconsin; the University of Notre Dame Environmental Research Center in Michigan; the Dorset Environmental Research Centre, the Experimental Lakes Area, and the Sudbury region, all in Ontario. We also have data for saline Mono Lake in California. Our database has many strengths, including the length of the time series (5-21 years); consistent sampling methodologies, particularly for zooplankton; and the availability of information on environmental factors, including phytoplankton, physical parameters, and water chemistry. Another unique aspect of our dataset is that it includes data from both undisturbed reference lakes and experimentally manipulated lakes. The whole-lake experiments include food web manipulations, nutrient enrichments, acidifications and limings, and an unplanned invasion of an exotic species. Some of the experimental manipulations are even replicated within and among sites, providing a unique opportunity to explore the extent to which responses to a particular perturbation are consistent across lakes. In addition to determining how manipulations change the dynamics of zooplankton communities, we are using the data from the reference lakes to establish bounds on
DOI: 10.5063/aa/nceas.19.4
title: Insights on community dynamics from large-scale, long-term data: time series for zooplankton and environmental variates from 35 North American lakes

description: NCEAS-1998-2244-NonDist-Dataset: The NCEAS Community Dynamics Working Group brought together theoretical and empirical ecologists to evaluate the relative importance of intrinsic and extrinsic sources of variability in natural communities. We focused on zooplankton community dynamics, in part because we had access to extensive time series data on zooplankton community structure from 35 North American lakes. Thirty-four of the lakes were concentrated at 5 sites: the North Temperate Lakes LTER site in Wisconsin; the University of Notre Dame Environmental Research Center in Michigan; the Dorset Environmental Research Centre, the Experimental Lakes Area, and the Sudbury region, all in Ontario. We also have data for saline Mono Lake in California. Our database has many strengths, including the length of the time series (5-21 years); consistent sampling methodologies, particularly for zooplankton; and the availability of information on environmental factors, including phytoplankton, physical parameters, and water chemistry. Another unique aspect of our dataset is that it includes data from both undisturbed reference lakes and experimentally manipulated lakes. The whole-lake experiments include food web manipulations, nutrient enrichments, acidifications and limings, and an unplanned invasion of an exotic species. Some of the experimental manipulations are even replicated within and among sites, providing a unique opportunity to explore the extent to which responses to a particular perturbation are consistent across lakes. In addition to determining how manipulations change the dynamics of zooplankton communities, we are using the data from the reference lakes to establish bounds on
DOI: 10.5063/aa/nceas.191.2
title: Decline in Carbon Assimilation of Forests: Colorado Meteorological Data

description: Temperature data were taken from drum-recording thermometer and rh was from drum-recording hygrometer. Seven C was added to minimum temperature to compensate for the effects of cold air draining onto the location of the temperature gage (study site was not in the cold air drainage). Average Temperature was calculated as (Max-Min)/2. Average RH was calculated as sum(hour1..hour24)/24.
DOI: 10.5063/aa/nceas.193.1
title: Exhaustive map locations of tupelo trees sampled in bottomland forests

description: Shea et al (1993) studied the small-scale spatial patterning of water tupelo, a gynodioecious tree. Locations of all trees in 50m x 50m quadrats were mapped using compass and tape. By inspection of flowers in spring, each tupelo was classified as male, female, or juvenile (not flowering). The biological questions concern spatial segregation. Do males tend to occur in the vicinity of other males. Do females tend to occur in the vicinity of other females? There are two data sets: tupall.dat and wtrlvl.dat. The data (tupall.dat) are records of all water tupelo trees in 3 approx. 50 m x 50m plots in bottomland hardwood forests. They are formatted as plot, sex (F = 1, M = 2, or juvenile = 3), index number of nearest neighbor (If a tree 1 in a plot has NN of 185, tree 185 is it's NN), x and y (the spatial location in meters). Also available, but not used in the tests of spatial relationships are water depth data collected on a grid (wtrlvl.dat). These observations almost certainly include considerable measurement error and small scale spatial variation.
DOI: 10.5063/aa/nceas.193.2
title: Exhaustive map locations of tupelo trees sampled in bottomland forests

description: Shea et al (1993) studied the small-scale spatial patterning of water tupelo, a gynodioecious tree. Locations of all trees in 50m x 50m quadrats were mapped using compass and tape. By inspection of flowers in spring, each tupelo was classified as male, female, or juvenile (not flowering). The biological questions concern spatial segregation. Do males tend to occur in the vicinity of other males. Do females tend to occur in the vicinity of other females? There are two data sets: tupall.dat and wtrlvl.dat. The data (tupall.dat) are records of all water tupelo trees in 3 approx. 50 m x 50m plots in bottomland hardwood forests. They are formatted as plot, sex (F = 1, M = 2, or juvenile = 3), index number of nearest neighbor (If a tree 1 in a plot has NN of 185, tree 185 is it's NN), x and y (the spatial location in meters). Also available, but not used in the tests of spatial relationships are water depth data collected on a grid (wtrlvl.dat). These observations almost certainly include considerable measurement error and small scale spatial variation.
DOI: 10.5063/aa/nceas.193.3
title: Exhaustive map locations of tupelo trees sampled in bottomland forests

description: Shea et al (1993) studied the small-scale spatial patterning of water tupelo, a gynodioecious tree. Locations of all trees in 50m x 50m quadrats were mapped using compass and tape. By inspection of flowers in spring, each tupelo was classified as male, female, or juvenile (not flowering). The biological questions concern spatial segregation. Do males tend to occur in the vicinity of other males. Do females tend to occur in the vicinity of other females? The data are records of all water tupelo trees in 3 approx. 50 m x 50m plots in bottomland hardwood forests. They are formatted as plot, sex (F = 1, M = 2, or juvenile = 3), index number of nearest neighbor (If a tree 1 in a plot has a value of 185 for nearest neighbor, tree 185 is its nearest neighbor), x and y (the spatial location in meters).
DOI: 10.5063/aa/nceas.193.4
title: Exhaustive map locations of tupelo trees sampled in bottomland forests

description: Shea et al (1993) studied the small-scale spatial patterning of water tupelo, a gynodioecious tree. Locations of all trees in 50m x 50m quadrats were mapped using compass and tape. By inspection of flowers in spring, each tupelo was classified as male, female, or juvenile (not flowering). The biological questions concern spatial segregation. Do males tend to occur in the vicinity of other males. Do females tend to occur in the vicinity of other females? The data are records of all water tupelo trees in 3 approx. 50 m x 50m plots in bottomland hardwood forests. They are formatted as plot, sex (F = 1, M = 2, or juvenile = 3), index number of nearest neighbor (If a tree 1 in a plot has a value of 185 for nearest neighbor, tree 185 is its nearest neighbor), x and y (the spatial location in meters).
DOI: 10.5063/aa/nceas.193.5
title: Exhaustive map locations of tupelo trees sampled in bottomland forests

description: Shea et al (1993) studied the small-scale spatial patterning of water tupelo, a gynodioecious tree. Locations of all trees in 50m x 50m quadrats were mapped using compass and tape. By inspection of flowers in spring, each tupelo was classified as male, female, or juvenile (not flowering). The biological questions concern spatial segregation. Do males tend to occur in the vicinity of other males. Do females tend to occur in the vicinity of other females? The data are records of all water tupelo trees in 3 approx. 50 m x 50m plots in bottomland hardwood forests. They are formatted as plot, sex (F = 1, M = 2, or juvenile = 3), index number of nearest neighbor (If a tree 1 in a plot has a value of 185 for nearest neighbor, tree 185 is its nearest neighbor), x and y (the spatial location in meters).
DOI: 10.5063/aa/nceas.193.6
title: Exhaustive map locations of tupelo trees sampled in bottomland forests

description: Shea et al (1993) studied the small-scale spatial patterning of water tupelo, a gynodioecious tree. Locations of all trees in 50m x 50m quadrats were mapped using compass and tape. By inspection of flowers in spring, each tupelo was classified as male, female, or juvenile (not flowering). The biological questions concern spatial segregation. Do males tend to occur in the vicinity of other males. Do females tend to occur in the vicinity of other females? The data are records of all water tupelo trees in 3 approx. 50 m x 50m plots in bottomland hardwood forests. They are formatted as plot, sex (F = 1, M = 2, or juvenile = 3), index number of nearest neighbor (If a tree 1 in a plot has a value of 185 for nearest neighbor, tree 185 is its nearest neighbor), x and y (the spatial location in meters).
DOI: 10.5063/aa/nceas.193.7
title: Exhaustive map locations of tupelo trees sampled in bottomland forests

description: Shea et al (1993) studied the small-scale spatial patterning of water tupelo, a gynodioecious tree. Locations of all trees in 50m x 50m quadrats were mapped using compass and tape. By inspection of flowers in spring, each tupelo was classified as male, female, or juvenile (not flowering). The biological questions concern spatial segregation. Do males tend to occur in the vicinity of other males. Do females tend to occur in the vicinity of other females? The data are records of all water tupelo trees in 3 approx. 50 m x 50m plots in bottomland hardwood forests. They are formatted as plot, sex (F = 1, M = 2, or juvenile = 3), index number of nearest neighbor (If a tree 1 in a plot has a value of 185 for nearest neighbor, tree 185 is its nearest neighbor), x and y (the spatial location in meters).
DOI: 10.5063/aa/nceas.194.1
title: Counts of gypsy moths in pheromone traps in the Central Appalachian Mountains

description: These are counts of gypsy moths, Lymantria dispar, in pheromone traps. They were collected as part of a gypsy moth management program in portions of the central Appalachian Mtns. in Virginia and West Virginia. In VA, traps were placed on a quasi 2 km grid and in WV the traps were in a qualsi 3 kim grid. In certain locations (where isolated colonies were thought to exist based upon previous years trapping data) traps were put at much higher densities. These data exhibit a very strong trend - counts are very high to the northeast and low (mostly zero) in the southwest. This is because the trapping grid was located on the advancing front of the expanding range of this species. Data are formated as easting, northing, males/trap. Coordinates are in UTM values.
DOI: 10.6085/aa/iwhpxx_xxxitbdxlzr01_20010113.50.2
title: PISCO: Intertidal: spatially-nested biodiversity survey temperature data: Whites Point, California, USA (IWHPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Whites Point, California, USA, by PISCO. Measurements were collected using StowAway TidbiT Temperature Loggers (Onset Computer Corp. TBI32-05+37) beginning 2001-01-13. Temperature loggers are bolted down in a wire cage at one location within each site at Mean Sea Level (MSL). Temperature is recorded at 1 hour intervals.
DOI: 10.6085/aa/iwhpxx_xxxitbdxlzr01_20010113.50.3
title: PISCO: Intertidal: spatially-nested biodiversity survey temperature data: Whites Point, California, USA (IWHPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Whites Point, California, USA, by PISCO. Measurements were collected using StowAway TidbiT Temperature Loggers (Onset Computer Corp. TBI32-05+37) beginning 2001-01-13. Temperature loggers are bolted down in a wire cage at one location within each site at Mean Sea Level (MSL). Temperature is recorded at 1 hour intervals.
DOI: 10.6085/aa/iwhpxx_xxxitbdxlzr01_20010113.50.4
title: PISCO: Intertidal: spatially-nested biodiversity survey temperature data: Whites Point, California, USA (IWHPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Whites Point, California, USA, by PISCO. Measurements were collected using StowAway TidbiT Temperature Loggers (Onset Computer Corp. TBI32-05+37) beginning 2001-01-13. Temperature loggers are bolted down in a wire cage at one location within each site at Mean Sea Level (MSL). Temperature is recorded at 1 hour intervals.
DOI: 10.6085/aa/iwhpxx_xxxitbdxlzr01_20010113.50.5
title: PISCO: Intertidal: spatially-nested biodiversity survey temperature data: Whites Point, California, USA (IWHPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Whites Point, California, USA, by PISCO. Measurements were collected using StowAway TidbiT Temperature Loggers (Onset Computer Corp. TBI32-05+37) beginning 2001-01-13. Temperature loggers are bolted down in a wire cage at one location within each site at Mean Sea Level (MSL). Temperature is recorded at 1 hour intervals.
DOI: 10.6085/aa/iwhpxx_xxxitbdxlzr01_20010113.50.6
title: PISCO: Intertidal: spatially-nested biodiversity survey temperature data: Whites Point, California, USA (IWHPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Whites Point, California, USA, by PISCO. Measurements were collected using StowAway TidbiT Temperature Loggers (Onset Computer Corp. TBI32-05+37) beginning 2001-01-13. Temperature loggers are bolted down in a wire cage at one location within each site at Mean Sea Level (MSL). Temperature is recorded at 1 hour intervals.
DOI: 10.6085/aa/jalxxx_015adcp015r00_20001227.40.1
title: (:unkn)
DOI: 10.6085/aa/jalxxx_015adcp015r00_20001227.40.2
title: (:unkn)
DOI: 10.6085/aa/jalxxx_015adcp015r00_20001227.50.1
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: Jalama Beach Campground, California, USA (JAL)

description: This metadata record describes bottom-mounted ADCP data collected at Jalama Beach Campground, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2000-12-27. 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/jalxxx_015adcp015r00_20001227.50.2
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: Jalama Beach Campground, California, USA (JAL)

description: This metadata record describes bottom-mounted ADCP data collected at Jalama Beach Campground, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2000-12-27. 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/jalxxx_015adcp015r00_20001227.50.3
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: Jalama Beach Campground, California, USA (JAL)

description: This metadata record describes bottom-mounted ADCP data collected at Jalama Beach Campground, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2000-12-27. 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/jalxxx_015adcp015r00_20001227.50.4
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: Jalama Beach Campground, California, USA (JAL)

description: This metadata record describes bottom-mounted ADCP data collected at Jalama Beach Campground, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2000-12-27. 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/jalxxx_015adcp015r00_20001227.50.5
title: PISCO: Physical Oceanography: bottom-mounted ADCP data: Jalama Beach Campground, California, USA (JAL)

description: This metadata record describes bottom-mounted ADCP data collected at Jalama Beach Campground, California, USA, by PISCO. Measurements were collected using an RDI 600 kHz Workhorse Sentinel ADCP beginning 2000-12-27. 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/jalxxx_015adcp015r00_20010215.40.2
title: (:unkn)
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20030723.50.2
title: PISCO: Physical Oceanography: moored temperature data: San Miguel Island, California, USA (SMN)

description: This metadata record describes moored seawater temperature data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-07-23. The instrument depth was 003 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20030723.50.3
title: PISCO: Physical Oceanography: moored temperature data: San Miguel Island, California, USA (SMN)

description: This metadata record describes moored seawater temperature data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-07-23. The instrument depth was 003 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20030723.50.4
title: PISCO: Physical Oceanography: moored temperature data: San Miguel Island, California, USA (SMN)

description: This metadata record describes moored seawater temperature data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-07-23. The instrument depth was 003 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20030723.50.5
title: PISCO: Physical Oceanography: moored temperature data: San Miguel Island, California, USA (SMN)

description: This metadata record describes moored seawater temperature data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-07-23. The instrument depth was 003 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20030904.40.1
title: (:unkn)
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20030904.40.2
title: (:unkn)
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20030904.50.1
title: PISCO: Physical Oceanography: moored temperature data: San Miguel Island, California, USA (SMN)

description: This metadata record describes moored seawater temperature data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-09-04. The instrument depth was 003 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20030904.50.2
title: PISCO: Physical Oceanography: moored temperature data: San Miguel Island, California, USA (SMN)

description: This metadata record describes moored seawater temperature data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-09-04. The instrument depth was 003 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.