cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/aa/nceas.279.1
title: Calathea ovandensis demography data

description: We studied the population dynamics of the plant at four sites at annual censuses, 1982-1987, during the rainy season (June-October) to determine spatial and temporal variability in vital rates and in sensitivity of population growth. Results of general interest included that among the 16 population projection matrices constructed for the 4 year × 4 site combinations, the ones with the highest growth rates had higher sensitivity to transitions of early stages. Matrix elements did not vary independently, but instead elements were correlated; for example environmental states that were good for growth were also good for reproduction. There was a negative correlation between elasticity and variability of matrix elements. We also found that el Niño years were favorable for recruitment of seedlings from a dormant seed bank; with 10-fold higher seedling emergence than other years, a surprising inland impact of global oceanic climate patterns. Of most general importance for understanding the long term demographic impacts of events that affect single stages in particular years, our study showed that elasticity structure at a site and year typical of high population growth was quite distinct from elasticity structure of other site/year combinations. This suggested that events (i.e., plant-animal interactions) in one year (or one state of the habitat) could be distinct in their contributions to long term population growth from similar events in other years (or other states of the habitat).
DOI: 10.6085/aa/jalxxx_015adcp015r00_20031112.40.1
title: (:unkn)
DOI: 10.6085/aa/jalxxx_015adcp015r00_20031112.40.2
title: (:unkn)
DOI: 10.6085/aa/jalxxx_015adcp015r00_20031112.50.1
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 2003-11-12. 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_20031112.50.2
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 2003-11-12. 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_20031112.50.3
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 2003-11-12. 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_20031112.50.4
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 2003-11-12. 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_20031112.50.5
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 2003-11-12. 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_20040212.40.1
title: (:unkn)
DOI: 10.6085/aa/jalxxx_015adcp015r00_20040212.40.2
title: (:unkn)
DOI: 10.6085/aa/jalxxx_015adcp015r00_20040212.50.1
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 2004-02-12. 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_20040212.50.2
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 2004-02-12. 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_20040212.50.3
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 2004-02-12. 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/smnxxx_015mtbd003r00_20041011.50.3
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 2004-10-11. 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_20041011.50.4
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 2004-10-11. 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_20041011.50.5
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 2004-10-11. 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_20041011.50.6
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 2004-10-11. 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_20041122.40.1
title: (:unkn)
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20041122.40.2
title: (:unkn)
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20041122.50.1
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 2004-11-22. 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 -14.3 minutes.
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20041122.50.2
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 2004-11-22. 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 -14.3 minutes.
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20041122.50.3
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 2004-11-22. 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 -14.3 minutes.
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20041122.50.4
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 2004-11-22. 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 -14.3 minutes.
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20041122.50.5
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 2004-11-22. 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 -14.3 minutes.
DOI: 10.6085/aa/smnxxx_015mtbd003r00_20050113.40.1
title: (:unkn)
DOI: 10.5063/aa/nceas.279.2
title: Calathea ovandensis demography data

description: We studied the population dynamics of the plant at four sites at annual censuses, 1982-1987, during the rainy season (June-October) to determine spatial and temporal variability in vital rates and in sensitivity of population growth. Results of general interest included that among the 16 population projection matrices constructed for the 4 year %26#239;%26#191;%26#189; 4 site combinations, the ones with the highest growth rates had higher sensitivity to transitions of early stages. Matrix elements did not vary independently, but instead elements were correlated; for example environmental states that were good for growth were also good for reproduction. There was a negative correlation between elasticity and variability of matrix elements. We also found that el Ni%26#239;%26#191;%26#189;o years were favorable for recruitment of seedlings from a dormant seed bank; with 10-fold higher seedling emergence than other years, a surprising inland impact of global oceanic climate patterns. Of most general importance for understanding the long term demographic impacts of events that affect single stages in particular years, our study showed that elasticity structure at a site and year typical of high population growth was quite distinct from elasticity structure of other site/year combinations. This suggested that events (i.e., plant-animal interactions) in one year (or one state of the habitat) could be distinct in their contributions to long term population growth from similar events in other years (or other states of the habitat).
DOI: 10.5063/aa/nceas.281.1
title: Ardisia elliptica (invasive exotic) demography in Florida: light and moisture dependence

description: The demography of five populations of A. elliptica in its invasive range in extreme southern Florida was studied. The study plots were chosen in Everglades National Park in a disturbed area to represent populations growing in a range of moisture and light environments to quantify the spatial and temporal variation in population dynamics of over a three transition years, starting in 1998 and endint in 2001. We sought to identify the factors that are contributing to its demographic success. Randomization techniques were used to quantify spatial and temporal variation.
DOI: 10.5063/aa/nceas.282.1
title: Start of Disease and temperature database

description: This table is the start of what could end up being a database containing searchable information regarding , disease, geographic location, host, temperature, range, pathogen, ect. It is only in the early stages. It contains information taken from literature regarding ocean diseases in corals, mollusks, turtles and echinoderms.
DOI: 10.5063/aa/nceas.282.2
title: Start of Disease and temperature database

description: This table is the start of what could end up being a database containing searchable information regarding , disease, geographic location, host, temperature, range, pathogen, ect. It is only in the early stages. It contains information taken from literature regarding ocean diseases in corals, mollusks, turtles and echinoderms.
DOI: 10.5063/aa/nceas.282.3
title: Start of Disease and temperature database

description: This table is the start of what could end up being a database containing searchable information regarding , disease, geographic location, host, temperature, range, pathogen, ect. It is only in the early stages. It contains information taken from literature regarding ocean diseases in corals, mollusks, turtles and echinoderms.
DOI: 10.5063/aa/nceas.282.4
title: Ocean Disease and temperature database

description: This table is the start of what could end up being a database containing searchable information regarding , disease, geographic location, host, temperature, range, pathogen, ect. It is only in the early stages. It contains information taken from literature regarding ocean diseases in corals, mollusks, turtles and echinoderms. This table was generated March 20, 2002.
DOI: 10.5063/aa/nceas.282.5
title: Marine Disease and Temperature Database

description: This table is the start of what could end up being a database containing searchable information regarding , disease, geographic location, host, temperature, range, pathogen, ect. It is only in the early stages. It contains information taken from literature regarding ocean diseases in corals, mollusks, turtles and echinoderms. This table was generated March 20, 2002.
DOI: 10.5063/aa/nceas.284.1
title: Scale and richness gradients

description: The database comprises 393 non-experimental datasets describing geographic gradients richness gradients at any spatial scale. We searched journals, computerized literature databases and databases generated by other NCEAS working groups. The response variable was taxonomic richness (usually of species, but occasionally of genera or families) of any plant or animal group. A study was included if we could extract coefficients of determination of independent variables from any standard linear or non-linear statistical technique. Because a wide range of independent variables are measured in diversity studies, we classified them into six basic types (Climate/Productivity, Heterogeneity/Disturbance, Edaphics/Nutrients, Area, Biotic interactions and History, each of which represents a hypothesis type ). We also included a few studies where pairs of independent variables were combined by authors, as long as they belonged to the same class of variable. A study was excluded if it considered only a single hypothesis type. In cases where raw data could be extracted from the original paper, we recalculated the models to verify the published results, transforming variables if appropriate and computing coefficients of determination if the original authors did not. Because some data were reanalyzed, the coefficients of determination sometimes differ from those originally reported. To facilitate comparative analyses, for each case five categorical grouping variables are provided: taxon, insularity, habitat medium, grain and extent. The final two are facets of scale, which was the main focus of the working group s analysis.
DOI: 10.5063/aa/nceas.284.2
title: Scale and richness gradients

description: The database comprises 393 non-experimental datasets describing geographic gradients richness gradients at any spatial scale. We searched journals, computerized literature databases and databases generated by other NCEAS working groups. The response variable was taxonomic richness (usually of species, but occasionally of genera or families) of any plant or animal group. A study was included if we could extract coefficients of determination of independent variables from any standard linear or non-linear statistical technique. Because a wide range of independent variables are measured in diversity studies, we classified them into six basic types (Climate/Productivity, Heterogeneity/Disturbance, Edaphics/Nutrients, Area, Biotic interactions and History, each of which represents a hypothesis type ). We also included a few studies where pairs of independent variables were combined by authors, as long as they belonged to the same class of variable. A study was excluded if it considered only a single hypothesis type. In cases where raw data could be extracted from the original paper, we recalculated the models to verify the published results, transforming variables if appropriate and computing coefficients of determination if the original authors did not. Because some data were reanalyzed, the coefficients of determination sometimes differ from those originally reported. To facilitate comparative analyses, for each case five categorical grouping variables are provided: taxon, insularity, habitat medium, grain and extent. The final two are facets of scale, which was the main focus of the working group s analysis.
DOI: 10.5063/aa/nceas.284.3
title: Scale and richness gradients

description: The database comprises 393 non-experimental datasets describing geographic gradients richness gradients at any spatial scale. We searched journals, computerized literature databases and databases generated by other NCEAS working groups. The response variable was taxonomic richness (usually of species, but occasionally of genera or families) of any plant or animal group. A study was included if we could extract coefficients of determination of independent variables from any standard linear or non-linear statistical technique. Because a wide range of independent variables are measured in diversity studies, we classified them into six basic types (Climate/Productivity, Heterogeneity/Disturbance, Edaphics/Nutrients, Area, Biotic interactions and History, each of which represents a hypothesis type ). We also included a few studies where pairs of independent variables were combined by authors, as long as they belonged to the same class of variable. A study was excluded if it considered only a single hypothesis type. In cases where raw data could be extracted from the original paper, we recalculated the models to verify the published results, transforming variables if appropriate and computing coefficients of determination if the original authors did not. Because some data were reanalyzed, the coefficients of determination sometimes differ from those originally reported. To facilitate comparative analyses, for each case five categorical grouping variables are provided: taxon, insularity, habitat medium, grain and extent. The final two are facets of scale, which was the main focus of the working group s analysis.
DOI: 10.5063/aa/nceas.284.4
title: Scale and richness gradients

description: The database comprises 393 non-experimental datasets describing geographic gradients richness gradients at any spatial scale. We searched journals, computerized literature databases and databases generated by other NCEAS working groups. The response variable was taxonomic richness (usually of species, but occasionally of genera or families) of any plant or animal group. A study was included if we could extract coefficients of determination of independent variables from any standard linear or non-linear statistical technique. Because a wide range of independent variables are measured in diversity studies, we classified them into six basic types (Climate/Productivity, Heterogeneity/Disturbance, Edaphics/Nutrients, Area, Biotic interactions and History, each of which represents a hypothesis type ). We also included a few studies where pairs of independent variables were combined by authors, as long as they belonged to the same class of variable. A study was excluded if it considered only a single hypothesis type. In cases where raw data could be extracted from the original paper, we recalculated the models to verify the published results, transforming variables if appropriate and computing coefficients of determination if the original authors did not. Because some data were reanalyzed, the coefficients of determination sometimes differ from those originally reported. To facilitate comparative analyses, for each case five categorical grouping variables are provided: taxon, insularity, habitat medium, grain and extent. The final two are facets of scale, which was the main focus of the working group s analysis.