This data set contains nitrate and conductivity measurements taken from the Greenland Summit Ice Sheet Project (GISP) H core. GISP was a decade-long project during the 1970s and early 1980s to study the climatic record stored in ice sheets, and involved scientists and funding agencies from Denmark, Switzerland and the United States. Nitrate and electrical conductivity measurements aid in the dating of ice cores by providing information about past volcanic eruptions and climate change. This data set involves a total of 7776 individual analyses from the surface of the core to a depth of 122 meters. The analyses were performed simultaneously on the same 1.5 cm ice core sample for each data series.

Overall, for this period, 8.08% of isolates had resistance to CIP.

FunCoup network information for gene GISP in Homo sapiens. REG4_HUMAN Regenerating islet-derived protein 4

No description is available. Visit https://dataone.org/datasets/babc638c2d7994f1cfb4105877fdca57 for complete metadata about this dataset.

Dating control as in White et al. (1997). GISP2 timescale is NOTidentical to official GISP2 timescale in the file gisp2age. Cal year1986=summer1985-summer1986

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Aerosol filter sampling was conducted during the summers of 1993 and 1994 at the solar powered remote atmospheric sampling site located 28 km southwest of the GISP2 camp (72.58N, 38.46W, 3205 m) in 1993 and 10 km southwest of the GISP2 site in 1994. Particles were collected on 90 mm Teflon Zefluor filters (1 mm pore size). The filter holders were open faced and covered with a large polyethylene bucket to prevent the collection of snow on the filter. Vacuum pumps were located in a trench beneath the surface. Airflow was measured using a Rockwell gas meter. The filters were run for approximately 16 hours each day during routine sampling periods excluding episodes of fog. During intensive sampling periods filters were changed every eight hours. In all cases, the flow rate was approximately 85 l min-1. All handling of the filters was done by personnel wearing clean room garb and shoulder length plastic gloves. Filters were removed from the filter holders in the field and stored in airtight Pyrex bottles. All filters were kept frozen until analysis at the Laboratoire de Glaciologie et Geophysique de lEnvironement (LGGE) in Grenoble, France. In order to minimize the evaporation of volatile aerosols on the filter, extraction took place in a clean hood in a cold room at -12o C. First, 1.0 ml of ultra pure methanol was added to the bottle to wet the filter. Then 9.0 ml of deionized water were added to the bottle to dissolve the soluble particles. Secondary extractions were run on 5 of the 155 filters from the 1994 field season. The average efficiency of the primary extraction was determined to be 93% based on the amount of soluble ions in the secondary extraction. The filter extracts were analyzed by ion chromatography for fluoride, lactate, acetate, glycolate, formate, methane sulfonate, chloride, nitrate, sulfate, oxalate, sodium, potassium, ammonium, magnesium, and calcium by ion chromatography. Detection limits for all three chemical species were calculated as 3 times the standard deviation of the amount of material on the field blanks divided by the volume of air drawn through each filter. While each filter sample had its own detection limits based on the filtered air volume, the mean aerosol concentration detection limits for 1993 and 1994 are summarized in the detection limit table. The atmospheric concentrations were calculated by subtracting the mean chemical mass on the blank filters from the mass on the sample filter.

The aim of this project was to develop a global indicator of biological invasion for the Convention on Biological Diversity's (CBD) 2010 target. In developing this indicator we created a database which lists all documented IAS in 57 randomly selected countries that are signatory to the CBD. In addition to this we investigated which alien species present on the Southern Ocean islands are IAS and we worked on a paper to test the global indicator of biological invasion at a national scale. All information for the above listed items are included in this collection.

Recent efforts to link the isotopic composition of snow in Greenland with meteorological and climatic parameters have indicated that relatively local information such as observed annual temperatures from coastal Greenland sites, as well as more synoptic scale features such as the North Atlantic Oscillation (NAO) and the temperature seesaw between Jakobshaven, Greenland, and Oslo, Norway, are significantly correlated with d18O and dD values from the past few hundred years measured in ice cores. In this study we review those efforts and then use a new record of isotope values from the Greenland Ice Sheet Project 2 and Greenland Ice Core Project sites at Summit, Greenland, to compare with meteorological and climatic parameters. This new record consists of six individual annually resolved isotopic records which have been average to produce a Summit stacked isotope record. The stacked record is significantly correlated with local Greenland temperatures over the past century (r=0.471), as well as a number of other records including temperatures and pressures from specific locations as well as temperature and pressure patterns such as the temperature seesaw and the North Atlantic Oscillation. A multiple linear regression of the stacked isotope record with a number of meteorological and climatic parameters in the North Atlantic region reveals that five variables contribute significantly to the variance in the isotope record: winter NAO, solar irradiance (as recorded by sunspot numbers), average Greenland coastal temperature, sea surface temperature in the moisture source region for Summit (30°-20°N), and the annual temperature seesaw between Jakobshaven and Oslo. Combined, these variables yield a correlation coefficient of r=0.71, explaining half of the variance in the stacked isotope record.

No description is available. Visit https://dataone.org/datasets/51186cbbf5bf85d474fc06d7b8cee55b for complete metadata about this dataset.

Quimicos Gisp Sa De Cv Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

No description is available. Visit https://dataone.org/datasets/4ef24d8d53919ed320bccf34aad086ce for complete metadata about this dataset.

DOI retrieved: 2003

No description is available. Visit https://dataone.org/datasets/bf60073d5b236872611389d544d6542e for complete metadata about this dataset.

No description is available. Visit https://dataone.org/datasets/4a8df9c3e4fd757bf9051f16b700fc72 for complete metadata about this dataset.

Records of methane, and oxygen isotopes (ice and air) for Law Dome DSS (Dome Summit South) core through the last deglaciation (9000-19000 before present).

Data are obtained from the entire DSS core, collected between late 1987 and early 1993.

Data comprise air composition measurements (d18Oair (per mille) and methane composition (ppbv)) and water isotope data (per mille) from the Law Dome core with age scale matched to the GRIP (Greenland) ice core. Default age scale (yr BP, 1950) gives best age scale - LDmin age scale gives a minimum age limiting case that is not the preferred dating.

Supporting information is provided in a pdf document available both in the dataset for download, and the online Science site.

This work was completed as part of ASAC project 757.

The work is also related to the Greenland Ice Core Project (GRIP), and the Greenland Ice Sheet Project Two (GISP2).

The last deglaciation was marked by large, hemispheric, millennial-scale climate variations: the Bolling-Allerod and Younger Dryas periods in the north, and the Antarctic Cold Reversal in the south. A chronology from the high-accumulation Law Dome East Antarctic ice core constrains the relative timing of these two events and provides strong evidence that the cooling at the start of the Antarctic Cold Reversal did not follow the abrupt warming during the northern Bolling transition around 14,500 years ago. This result suggests that southern changes are not a direct response to abrupt changes in North Atlantic thermohaline circulation, as is assumed in the conventional picture of a hemispheric temperature seesaw.

Public Summary from project 757: Prediction of future climate change requires knowledge of past changes. Polar snow forms an archive of environmental conditions that is accessible by drilling and analysing ice cores. This project uses ice core data to reconstruct and study records, including past temperature and atmospheric composition, to improve understanding of the climate system.

The fields in this dataset are:

(Note: Ages are all BP (1950); the two scenarios only give identical gas-ages at tie-points.)

Sample Mid Depth (metres) Sample Length (metres) Delta 18O air (ppt) Sample Mid Gas Age (Default) Delta Age (Default) (years) Sample Mid Gas Age (LDmin) Delta Age (LDmin) (years) CH4 (ppbv) Depth (metres) Age (Default) Age (LDmin) Delta 18 O (ppt)

This dataset provides geospatial polygon boundaries for marine bivalve shellfish harvest area classification in Newfoundland and Labrador, Canada. These data represent the five classification categories of marine bivalve shellfish harvest areas (Approved; Conditionally Approved; Restricted; Conditionally Restricted; and Prohibited) under the Canadian Shellfish Sanitation Program (CSSP). Data are collected by Environment and Climate Change Canada (ECCC) for the purpose of making applicable classification recommendations on the basis of sanitary and water quality survey results. ECCC recommendations are reviewed and adopted by Regional Interdepartmental Shellfish Committees prior to regulatory implementation by Fisheries and Oceans Canada (DFO).

These geographic data are for illustrative purposes only; they show shellfish harvest area classifications when in Open Status. The classification may be superseded at any time by regulatory orders issued by DFO, which place areas in Closed Status, due to conditions such as sewage overflows or elevated biotoxin levels. For further information about the current status and boundary coordinates for areas under Prohibition Order, please contact your local DFO office.For more information, visit: https://open.canada.ca/data/en/dataset/b9f913b8-66a4-4bca-81dc-956b9fad57eaAnd https://www.dfo-mpo.gc.ca/shellfish-mollusques/cssp-eng.htmNOTE: The classifications in this map change frequently based on real-time environmental changes.For live updates of harvesting prohibition orders visit: https://gisp.dfo-mpo.gc.ca/Html5Viewer/Index.html?viewer=CSSP_Public_En_Site&locale=en

Depth=TVD true vertical depth. The diameter of the 3-km borehole (GISP-D) at the GISP2 site was measured during 1993, 1994, and 1995 using University of Copenhagens geophysical logging system (UCPH); the UCPH logging system is described in Gundestrup et al.(1994).

regenerating family member 4 Predicted to enable carbohydrate binding activity. Predicted to be located in extracellular region. Orthologous to human REG4 (regenerating family member 4). C-type lectin https://www.xenbase.org/gene/showgene.do?method=display&geneId=952113

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