cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7289/v54b2zc2
title: Chlorophyll a, temperature, salinity and other variables collected from surface underway observations using flow-through pump from NOAA Ship Gordon Gunter off the U.S. East Coast during the East Coast Ocean Acidification (ECOA) Cruise from 2015-06-19 to 2015-07-24 (NCEI Accession 0157812)

description: This dataset contains chlorophyll a, temperature, salinity and other variables collected from surface underway observations during the East Coast Ocean Acidification (ECOA) Cruise. The East Coast Ocean Acidification (ECOA) Cruise on board NOAA Ship Gordon Gunter from Newport, took place in the Gulf of Maine and then along the East US coast to Miami. The effort was in support of the coastal monitoring and research objectives of the NOAA Ocean Acidification Program (OAP). The cruise was designed to obtain a snapshot of key carbon, physical, and biogeochemical parameters as they relate to ocean acidification (OA) in the coastal realm. The cruise included a series of 11 transects approximately orthogonal to the Gulf of Maine and Atlantic coasts and a comprehensive set of underway measurements along the entire transect.
DOI: 10.7289/v5vt1q40
title: Dissolved inorganic carbon, total alkalinity, pH, nutrients and other variables collected from profile and discrete sample observations during NOAA Ship Gordon Gunter East Coast Ocean Acidification (ECOA-1) cruise GU-15-04 (EXPOCODE 33GG20150619) off the U.S. East Coast, North Atlantic Ocean from 2015-06-19 to 2015-07-23 (NCEI Accession 0159428)

description: This dataset contains dissolved inorganic carbon, total alkalinity, pH, nutrients and other variables collected from profile and discrete sample observations during NOAA Ship Gordon Gunter East Coast Ocean Acidification (ECOA-1) cruise GU-15-04 (EXPOCODE 33GG20150619) off the U.S. East Coast, North Atlantic Ocean from 2015-06-19 to 2015-07-23. The effort was in support of the coastal monitoring and research objectives of the NOAA Ocean Acidification Program (OAP). The cruise was designed to obtain a snapshot of key carbon, physical, and biogeochemical parameters as they relate to ocean acidification (OA) in the coastal realm. The cruise included a series of 11 transects approximately orthogonal to the Gulf of Maine and Atlantic coasts and a comprehensive set of underway measurements along the entire transect.
DOI: 10.3334/cdiac/otg.tsm_papa_145w_50n_o2_n2
title: Salinity and other variables collected from time series observations using Bubble type equilibrator for autonomous carbon dioxide (CO2) measurement, Carbon dioxide (CO2) gas analyzer and other instruments from MOORINGS_PAPA_145W_50N in the North Pacific Ocean from 2007-06-08 to 2014-11-06 (NCEI Accession 0160486)

description: This dataset includes chemical, meteorological, physical and time series data collected from MOORINGS_PAPA_145W_50N in the North Pacific Ocean from 2007-06-08 to 2014-11-06. These data include BAROMETRIC PRESSURE, DISSOLVED OXYGEN, OXYGEN - PERCENT SATURATION, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Bubble type equilibrator for autonomous carbon dioxide (CO2) measurement and Carbon dioxide (CO2) gas analyzer.

These data were collected by Charles L. Stump, Mariela R. T. White, Seth M. Bushinsky, and Steven R. Emerson of University of Washington (UW) as part of the Mooring_Papa_145W_50N_O2_N2 dataset. CDIAC associated the following cruise ID(s) with this dataset: PAPA20070608
DOI: 10.3334/cdiac/otg.tsm_keo_145e_32n_o2_n2
title: Salinity and other variables collected from time series observations using Carbon dioxide (CO2) gas analyzer and other instruments from MOORINGS_KEO_145E_32N in the North Pacific Ocean from 2011-11-08 to 2016-08-02 (NCEI Accession 0160545)

description: This dataset includes chemical, meteorological, physical and time series data collected from MOORINGS_KEO_145E_32N in the North Pacific Ocean from 2011-11-08 to 2016-08-02. These data include BAROMETRIC PRESSURE, DISSOLVED OXYGEN, OXYGEN - PERCENT SATURATION, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

These data were collected by Charles L. Stump, Mariela R. T. White, Seth M. Bushinsky, and Steven R. Emerson of University of Washington (UW) as part of the Moorings_KEO_145E_32N_O2_N2 dataset. CDIAC associated the following cruise ID(s) with this dataset: KEO_20111108

The Global CO2 Time-series and Moorings Project involves international groups from 18 countries who have mounted sensors on moored buoys to provide high resolution time-series measurements of atmospheric boundary layer and surface ocean CO2 partial pressure (pCO2). The CO2 Time-series and Moorings Project is coordinated by UNESCO International Ocean Carbon Coordination Project (IOCCP).
DOI: 10.15468/dl.vrs8sw
title: Occurrence Download

description: A dataset containing 10654 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'BF'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 10654 records were derived from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033211-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.re5fcf
title: Occurrence Download

description: A dataset containing 438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chaetomorpha brachygona Harv."
 ]
}

 The dataset includes 438 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033230-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3334/cdiac/otg.vos_lmg_noaa_2016
title: Underway measurements of pCO2 in the Surface Waters and the Atmosphere During R/V Laurence M. Gould 2016 Expeditions processed by NOAA (NCEI Accession 0160570)

description: This dataset includes surface underway, chemical, meteorological and physical data collected from LAURENCE M. GOULD in the South Atlantic Ocean and Southern Oceans (&gt; 60 degrees South) from 2016-02-21 to 2017-02-09. These data include BAROMETRIC PRESSURE, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer and Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement. These data were collected by David R. Munro, Colm Sweeney and Tim Newberger of University of Colorado - Boulder; Cooperative Institute for Research In Environmental Sciences.
DOI: 10.7289/v55q4t5k
title: El Niño Rapid Response (ENRR) Field Campaign: Radiosonde Data (Level 2) from Kiritimati Island, January-March 2016 (NCEI Accession 0161525)

description: This dataset contains radiosonde data from Kiritimati (Christmas) Island, collected 26 January to 27 March 2016. These "Level 2" data have been reprocessed using corrected surface observations as initial conditions and then subject to automatic, objective quality control checks. The radiosondes were released 2 times per day from (2.01°N, 157.40°W). The data resolution within each sounding is 1 s. The following variables are reported: time since release (UTC); geopotential_height (m); air_pressure (hPa); air_temperature (C); dew_point_temperature (C); relative_humidity (%); eastward_wind (m s-1); northward_wind (m s-1); wind_speed (m s-1); wind_from_direction (degree); latitude (degree_north); longitude (degree_east); altitude (m); upward_platform_speed_wrt_ground (m s-1); geopotential_height status_flag (); air_pressure status_flag (); air_temperature status_flag (); dew_point_temperature status_flag (); wind status_flag (); GPS status_flag ().

During January through March 2016, scientists led by the NOAA/Earth System Research Laboratory's Physical Sciences Division conducted NOAA's El Niño Rapid Response (ENRR) Field Campaign. Its goal was to document the ongoing El Niño episode in great detail, and in ways that could help researchers better understand the ways in which this El Niño affected weather in the United States and the impact of various high-resolution observations on weather forecasts. Intensive observations were collected over the central and eastern Pacific ocean from land, ocean, and airborne platforms during the very strong 2015-2016 El Niño.
DOI: 10.7289/v5x63k15
title: El Niño Rapid Response (ENRR) Field Campaign: Radiosonde Data (Level 2) from NOAA Ship Ronald H. Brown, 2016-02 to 2016-03 (NCEI Accession 0161527)

description: This dataset contains radiosonde data from NOAA Ship Ronald H. Brown, collected 16 February to 16 March 2016. These "Level 2" data have been reprocessed using corrected surface observations as initial conditions and then subject to automatic, objective quality control checks. The radiosondes were launched 4 to 8 times per day while the ship sailed from Honolulu, Hawaii to the Tropical Atmosphere Ocean (TAO) buoys along 140°W and 125°W and then to San Diego, California. The data resolution within each sounding is 1 s. The following variables are reported: time since release (UTC); geopotential_height (m); air_pressure (hPa); air_temperature (C); dew_point_temperature (C); relative_humidity (%); eastward_wind (m s-1); northward_wind (m s-1); wind_speed (m s-1); wind_from_direction (degree); latitude (degree_north); longitude (degree_east); altitude (m); upward_platform_speed_wrt_ground (m s-1); geopotential_height status_flag (); air_pressure status_flag (); air_temperature status_flag (); dew_point_temperature status_flag (); wind status_flag (); GPS status_flag ().

During January through March 2016, scientists led by the NOAA/Earth System Research Laboratory's Physical Sciences Division conducted NOAA's El Niño Rapid Response (ENRR) Field Campaign. Its goal was to document the ongoing El Niño episode in great detail, and in ways that could help researchers better understand the ways in which this El Niño affected weather in the United States and the impact of various high-resolution observations on weather forecasts. Intensive observations were collected over the central and eastern Pacific ocean from land, ocean, and airborne platforms during the very strong 2015-2016 El Niño.
DOI: 10.15468/dl.hrzrz7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heleophryne rosei Hewitt, 1925",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033231-250525065834625/datasets/export for details.
DOI: 10.7289/v5sf2t80
title: El Niño Rapid Response (ENRR) Field Campaign: Surface Meteorological and Ship Data from NOAA Ship Ronald H. Brown, 2016-02 to 2016-03 (NCEI Accession 0161528)

description: This dataset contains surface meteorological and ship data from NOAA Ship Ronald H. Brown, collected 16 February to 16 March 2016. These data have been corrected for known measurement issues when possible and replaced with bad/missing flags when that was not possible, and have been visually screened for physically unreasonable values. These data were collected while the ship sailed from Honolulu, Hawaii to the Tropical Atmosphere Ocean (TAO) buoys along 140°W and 125°W and then to San Diego, California. Instrument elevations ranged from 5 m below the surface of the ocean to about 16 m ASL (above sea level). The averaging/collection period is 1 minute. The following variables are reported: time at end of averaging or collection period (UTC); air_pressure (hPa); air_temperature (C); relative_humidity (%); wind_speed (m s-1); wind_from_direction (degree); sea_surface_temperature (C), collected at 5m depth; downwelling_shortwave_flux_in_air (W m-2); latitude (degree_north); longitude (degree_east); platform_course (degree); platform_azimuth_angle (degree); platform_speed_wrt_ground (m s-1).

During January through March 2016, scientists led by the NOAA/Earth System Research Laboratory's Physical Sciences Division conducted NOAA's El Niño Rapid Response (ENRR) Field Campaign. Its goal was to document the ongoing El Niño episode in great detail, and in ways that could help researchers better understand the ways in which this El Niño affected weather in the United States and the impact of various high-resolution observations on weather forecasts. Intensive observations were collected over the central and eastern Pacific ocean from land, ocean, and airborne platforms during the very strong 2015-2016 El Niño.
DOI: 10.15468/dl.y6p59b
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Graphiurus christyi Dollman, 1914",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 95 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033232-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/584y-jvxh
title: Measurement of Mercury at Kotinen

description: Measurement of Mercury at Kotinen
DOI: 10.48597/32ex-79rq
title: Measurement of Mercury at Kotinen

description: Measurement of Mercury at Kotinen
DOI: 10.48597/555c-e8n3
title: Measurement of Mercury at Kotinen

description: Measurement of Mercury at Kotinen
DOI: 10.48597/fdzu-hfqb
title: Measurement of Mercury at Kotinen

description: Measurement of Mercury at Kotinen
DOI: 10.48597/h75n-x7cn
title: Measurement of Mercury at Kotinen

description: Measurement of Mercury at Kotinen
DOI: 10.48597/jag2-8k9u
title: Mercury at Kotinen

description: Measurement of Mercury at Kotinen
DOI: 10.48597/kt3k-637y
title: Measurement of Mercury at Kotinen

description: Measurement of Mercury at Kotinen
DOI: 10.48597/m4kc-tmd7
title: Measurement of Mercury at Kotinen

description: Measurement of Mercury at Kotinen
DOI: 10.48597/up94-5pks
title: Measurement of Mercury at Kotinen

description: Measurement of Mercury at Kotinen
DOI: 10.48597/3xs2-hsgp
title: Measurement of Mercury at Kotinen

description: Measurement of Mercury at Kotinen
DOI: 10.3334/cdiac/otg.vos_lmg_noaa_2013
title: Partial pressure (or fugacity) of carbon dioxide, salinity and other variables collected from surface underway observations using Carbon dioxide (CO2) gas analyzer and other instruments from LAURENCE M. GOULD in the South Atlantic Ocean, South Pacific Ocean and Southern Oceans from 2012-12-31 to 2013-12-19 (NCEI Accession 0163187)

description: This dataset includes chemical, meteorological, physical and surface underway data collected from LAURENCE M. GOULD in the South Atlantic Ocean, South Pacific Ocean and Southern Oceans (&gt; 60 degrees South) from 2012-12-31 to 2013-12-19. These data include BAROMETRIC PRESSURE, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

These data were collected by Taro Takahashi of Lamont-Doherty Earth Observatory (LDEO), Colm Sweeney and Tim Newberger of NOAA Earth System Research Laboratory (ESRL), and David R. Munro of University of Colorado - Boulder (CU-B) as part of the VOS_LMG_NOAA_2013 dataset. CDIAC associated the following cruise ID(s) with this dataset: 33LG20121231
DOI: 10.6084/m9.figshare.29279270
title: Student Performance Dataset from a Quasi-experimental Study on the Use of Virtual Labs in Teaching Biology

description: This dataset captures the academic performance of secondary school students enrolled in a Biology course, collected as part of a quasi-experimental study assessing the impact of virtual laboratory simulations on student learning outcomes. The data were gathered from two Rwandan secondary schools: one designated as the <b>experimental</b>, which received instruction using virtual labs, and the other as the <b>control group</b>, which followed traditional teaching methods.All participating students were from combinations in which Biology is a major subject. The dataset includes performance scores measured after before and after the intervention, with the aim of evaluating whether the use of virtual labs led to statistically significant improvements in academic achievement compared to conventional instruction. Variables in the dataset include student ID codes, school designation (control vs. experimental), pre-test and post-test scores.
DOI: 10.6084/m9.figshare.29279270.v1
title: Student Performance Dataset from a Quasi-experimental Study on the Use of Virtual Labs in Teaching Biology

description: This dataset captures the academic performance of secondary school students enrolled in a Biology course, collected as part of a quasi-experimental study assessing the impact of virtual laboratory simulations on student learning outcomes. The data were gathered from two Rwandan secondary schools: one designated as the <b>experimental</b>, which received instruction using virtual labs, and the other as the <b>control group</b>, which followed traditional teaching methods.All participating students were from combinations in which Biology is a major subject. The dataset includes performance scores measured after before and after the intervention, with the aim of evaluating whether the use of virtual labs led to statistically significant improvements in academic achievement compared to conventional instruction. Variables in the dataset include student ID codes, school designation (control vs. experimental), pre-test and post-test scores.
DOI: 10.5281/zenodo.15631552
title: Annual nutrient deposition via leaf litter from 2012 to 2013 for natural and agroforestry sites at Mt. Kilimanjaro
DOI: 10.5281/zenodo.15631553
title: Annual nutrient deposition via leaf litter from 2012 to 2013 for natural and agroforestry sites at Mt. Kilimanjaro
DOI: 10.3334/cdiac/otg.ndp094
title: Climatological Distributions of pH, pCO2, Total CO2, Alkalinity, and CaCO3 Saturation in the Global Surface Ocean (NCEI Accession 0164568)

description: Climatological mean monthly distributions of pH in the total H+ scale, total CO2 concentration (TCO2), and the degree of CaCO3 saturation for the global surface ocean waters (excluding coastal areas) are calculated using a data set for pCO2, alkalinity and nutrient concentrations in surface waters (depths less than 50 m), which is built upon the GLODAP, CARINA and LDEO database. The mutual consistency among these measured parameters is demonstrated using the inorganic carbon chemistry model with the dissociation constants for carbonic acid by Lueker et al. (2000) and for boric acid by Dickson (1990). The global ocean is divided into 24 regions, and the linear potential alkalinity (total alkalinity + nitrate) versus salinity relationships are established for each region. The mean monthly distributions of pH and carbon chemistry parameters for the reference year 2005 are computed using the climatological mean monthly pCO2 data adjusted to a reference year 2005 and the alkalinity estimated from the potential alkalinity versus salinity relationships. The climatological monthly mean values of pCO2 over the global ocean are compiled for a 4° x 5° grid for the reference year 2005, and the gridded data for each of 12 months are included in this database. This is updated version of Takahashi et al. (2009) for the reference year 2000 representing non-El Niño years using a database of about 6.5 million pCO2 data (less coastal areas of North and South America) observed in 1957-2012 (Takahashi et al., 2013). The equatorial zone (4°N-4°S) of the Pacific is excluded from the analysis because of the large interannual changes associated with the El Niño-Southern Oscillation events. The pH thus calculated ranges from 7.9 to 8.2. Lower values are located in the upwelling regions in the tropical Pacific and in the Arabian and Bering Seas; and higher values are found in the subpolar and polar waters during the spring-summer months of intense photosynthetic production. The vast areas of subtropical oceans have seasonally varying pH values ranging from 8.05 during warmer months to 8.15 during colder months. The warm tropical and subtropical waters are supersaturated by a factor of as much as 4.2 with respect to aragonite and 6.3 for calcite, whereas the cold subpolar and polar waters are less supersaturated only by 1.2 for aragonite and 2 for calcite because of the lower pH values resulting from greater TCO2 concentrations. In the western Arctic Ocean, aragonite undersaturation is observed.
DOI: 10.15468/dl.umtemm
title: Occurrence Download

description: A dataset containing 701 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.67848 59.70239,10.91924 59.8748,10.9411 60.05052,10.68305 60.10995,10.48937 59.89971,10.67848 59.70239))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alces alces (Linnaeus, 1758)"
 ]
}

 The dataset includes 701 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033235-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.