cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.res.2014.109
title: โครงการ การวิเคราะห์นโยบายที่เหมาะสมเพื่อการจัดการยางล้อยานยนต์ใช้แล้วของประเทศไทย
DOI: 10.14457/cu.res.2015.86
title: การพัฒนากราฟีนนาโนคอมพอสิตเพื่อสร้างระบบการตรวจวัด สารชีวโมเลกุลและวินิจฉัยโรคเบื้องต้น
DOI: 10.14457/cu.res.2017.37
title: โครงการ กลไกระดับโมเลกุลของการกระตุ้นให้เกิดการลดลงของการเติมหมู่เมทิลที่ดีเอ็นเอไลน์วันโดยภาวะเครียดจากออกซิเดชั่นในเซลล์มะเร็งกระเพาะปัสสาวะ
DOI: 10.14457/cu.res.2016.70
title: โครงการ อนาคตภาพของการจัดการศึกษาตลอดชีวิตเพื่อพัฒนาคุณภาพชีวิตของเยาวชนในศูนย์เยาวชนเขตพัฒนาพื้นที่พิเศษเฉพาะกิจจังหวัดชายแดนภาคใต้
DOI: 10.14457/cu.the.2018.14
title: ปัญหาการคุ้มครองสิทธิในการเผยแพร่ภาพลักษณ์ของบุคคลผู้ล่วงลับ
DOI: 10.25345/c51b3d
title: MassIVE MSV000085883 - Local RNA translation controls cell migration and Rab GTPase function
title: Numerous RNAs exhibit specific distribution patterns in mammalian cells. However, the functional and mechanistic consequences are relatively unknown. We investigate here the functional role of RNA localization at cellular protrusions of mesenchymal migrating cells, using as a model the RAB13 RNA, which encodes a GTPase important for vesicle-mediated membrane trafficking. While RAB13 RNA is enriched at peripheral protrusions, the expressed protein is concentrated perinuclearly. By specifically preventing RAB13 RNA localization, we show that peripheral RAB13 translation is not important for the overall distribution of the RAB13 protein, or its ability to associate with membranes, but is required for full activation of the GTPase and for efficient cell migration. This effect is mediated by a co-translational association of RAB13 with the exchange factor RABIF. Our results indicate that RAB13-RABIF association at the periphery is required for directing RAB13 GTPase activity to promote cell migration. Thus, translation of RAB13 in specific subcellular environments imparts the protein with distinct properties and highlights a means of controlling protein function through local RNA translation.
DOI: 10.5517/ccdc.csd.cc249yv8
title: CCDC 1975780: Experimental Crystal Structure Determination

description: Related Article: Nadia G. Léonard, Sam Yruegas, Suzzy C. Ho, Aaron Sattler, Máté J. Bezdek, Paul J. Chirik|2020|Organometallics|39|2630|doi:10.1021/acs.organomet.0c00257
DOI: 10.5517/ccdc.csd.cc249yw9
title: CCDC 1975781: Experimental Crystal Structure Determination

description: Related Article: Nadia G. Léonard, Sam Yruegas, Suzzy C. Ho, Aaron Sattler, Máté J. Bezdek, Paul J. Chirik|2020|Organometallics|39|2630|doi:10.1021/acs.organomet.0c00257
DOI: 10.5517/ccdc.csd.cc249yxb
title: CCDC 1975782: Experimental Crystal Structure Determination

description: Related Article: Nadia G. Léonard, Sam Yruegas, Suzzy C. Ho, Aaron Sattler, Máté J. Bezdek, Paul J. Chirik|2020|Organometallics|39|2630|doi:10.1021/acs.organomet.0c00257
DOI: 10.5281/zenodo.3354436
title: DATABASE: RUSSIAN LARGE URBAN REGIONS (LUR)

description: This database provides a construction of Large Urban Regions (LUR) in Russia. A Large Urban Region (LUR) can be defined as an aggregation of continuous statistical units around a core that are economically dependent on this core and linked to it by economic and social strong interdependences. The main purpose of this delineation is to make cities comparable on the national and world scales and to make comparative social-economic urban studies. Aggregating different municipal districts around a core city, we construct a single large urban region, which allows to include all the area of economic influence of a core into one statistical unit (see Rogov & Rozenblat, 2019 for more details). In doing so we use four principal urban concepts (Pumain et al., 1992): political definition, morphological definition, functional definition and conurbation that we call Large Urban Region. We implemented LURs using criteria such as population distribution, road networks, access to an airport, distance from a core, presence of multinational firms. In this database we provide population data for LURs and their administrative units.
description: This database was established during my PhD dissertation project (2017-2020; University of Lausanne, Institute of Geography and Sustainability)
DOI: 10.6084/m9.figshare.3761562.v1561
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.3968764
title: Data for "Shallow lower mantle viscosity modulates the pattern of mantle structure"

description: Data, input files and plotting software for the journal article "Shallow lower mantle viscosity modulates the pattern of mantle structure", published in the journal Geochemistry, Geophysics, Geosystems in 2020. Simulation-data.tar.gz has information, input files, and data for the last time step of all the simulations run in the study. Post-processing.tar.gz has post-processed data and the scripts used for analysis and plotting of data in the paper.
DOI: 10.5281/zenodo.3968763
title: Data for "Shallow lower mantle viscosity modulates the pattern of mantle structure"

description: Data, input files and plotting software for the journal article "Shallow lower mantle viscosity modulates the pattern of mantle structure", published in the journal Geochemistry, Geophysics, Geosystems in 2020. Simulation-data.tar.gz has information, input files, and data for the last time step of all the simulations run in the study. Post-processing.tar.gz has post-processed data and the scripts used for analysis and plotting of data in the paper.
DOI: 10.21227/3hcr-3y72
title: GSET Somi: A Game-Specific Eye Tracking Dataset for Somi

description: This is an eye tracking dataset of 84 computer game players who played the side-scrolling cloud game Somi. The game was streamed in the form of video from the cloud to the player. The dataset consists of 135 raw videos (YUV) at 720p and 30 fps with eye tracking data for both eyes (left and right). Male and female players were asked to play the game in front of a remote eye-tracking device. For each player, we recorded gaze points, video frames of the gameplay, and mouse and keyboard commands. For each video frame, a list of its game objects with their locations and sizes was also recorded. This data, synchronized with eye-tracking data, allows one to calculate the amount of attention that each object or group of objects draw from each player. This dataset can be used for designing and testing game-specific visual attention models.
DOI: 10.5517/ccdc.csd.cc25tsg8
title: CCDC 2020780: Experimental Crystal Structure Determination

description: Related Article: jianing li|2020|CSD Communication|||
DOI: 10.7910/dvn/btlagg/gajhwv
title: Aprill 11th 2020 Data Do File.do

description: :unav
DOI: 10.7910/dvn/btlagg/fleymy
title: July 25th 2020 Data Do File.do

description: :unav
DOI: 10.21227/vj13-1n24
title: Coronavirus (COVID-19) Tweets Dataset

description: This dataset includes CSV files that contain IDs and sentiment scores of the tweets related to the COVID-19 pandemic. The tweets have been collected by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 54 different keywords that are commonly used while referencing the pandemic. This dataset has been wholly re-designed on March 20, 2020, to comply with the content redistribution policy set by Twitter. Below is the quick overview of this dataset.— Number of tweets : 371,156,552 tweets
DOI: 10.5517/ccdc.csd.cc2299j7
title: CCDC 1915568: Experimental Crystal Structure Determination

description: Related Article: Cheng-Han Yu, Nattamai Bhuvanesh, and Oleg V. Ozerov|2019|CSD Communication|||
description: Related Article: Cheng-Han Yu, Xin Yang, Xiaozhou Ji, Chen-Hao Wang, Qingheng Lai, Nattamai Bhuvanesh, Oleg V. Ozerov|2020|Inorg.Chem.|59|10153|doi:10.1021/acs.inorgchem.0c01281
DOI: 10.5517/ccdc.csd.cc2299nc
title: CCDC 1915572: Experimental Crystal Structure Determination

description: Related Article: Cheng-Han Yu, Nattamai Bhuvanesh, and Oleg V. Ozerov|2019|CSD Communication|||
description: Related Article: Cheng-Han Yu, Xin Yang, Xiaozhou Ji, Chen-Hao Wang, Qingheng Lai, Nattamai Bhuvanesh, Oleg V. Ozerov|2020|Inorg.Chem.|59|10153|doi:10.1021/acs.inorgchem.0c01281
DOI: 10.5517/ccdc.csd.cc2299pd
title: CCDC 1915573: Experimental Crystal Structure Determination

description: Related Article: Cheng-Han Yu, Nattamai Bhuvanesh, and Oleg V. Ozerov|2019|CSD Communication|||
description: Related Article: Cheng-Han Yu, Xin Yang, Xiaozhou Ji, Chen-Hao Wang, Qingheng Lai, Nattamai Bhuvanesh, Oleg V. Ozerov|2020|Inorg.Chem.|59|10153|doi:10.1021/acs.inorgchem.0c01281
DOI: 10.5517/ccdc.csd.cc2299qf
title: CCDC 1915574: Experimental Crystal Structure Determination

description: Related Article: Cheng-Han Yu, Nattamai Bhuvanesh, and Oleg V. Ozerov|2019|CSD Communication|||
description: Related Article: Cheng-Han Yu, Xin Yang, Xiaozhou Ji, Chen-Hao Wang, Qingheng Lai, Nattamai Bhuvanesh, Oleg V. Ozerov|2020|Inorg.Chem.|59|10153|doi:10.1021/acs.inorgchem.0c01281
DOI: 10.5517/ccdc.csd.cc2299rg
title: CCDC 1915575: Experimental Crystal Structure Determination

description: Related Article: Cheng-Han Yu, Nattamai Bhuvanesh, and Oleg V. Ozerov|2019|CSD Communication|||
description: Related Article: Cheng-Han Yu, Xin Yang, Xiaozhou Ji, Chen-Hao Wang, Qingheng Lai, Nattamai Bhuvanesh, Oleg V. Ozerov|2020|Inorg.Chem.|59|10153|doi:10.1021/acs.inorgchem.0c01281
DOI: 10.21227/zdpj-mm28
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 54 different keywords that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Below is the quick overview of this dataset.— Number of tweets : 164,363 tweets
DOI: 10.5061/dryad.g94676pg/1
title: Barley1K_microsatellites

description: Made available in DSpace on 2015-08-20T18:53:57Z (GMT). No. of bitstreams: 2
Barley1K_microsatellites.txt.txt: 304680 bytes, checksum: 07a56a8d8e9c7b802404047b18ed7bdc (MD5)
Barley1K_microsatellites.txt: 305623 bytes, checksum: f03d709e1dbe48cf54ee5c6f544c3759 (MD5)
  Previous issue date: 2011-12-01
DOI: 10.5061/dryad.g94676pg/2
title: B1K illumina

description: Made available in DSpace on 2015-08-20T18:53:59Z (GMT). No. of bitstreams: 1
B1K illumina.xls: 5697536 bytes, checksum: 2316bb691c1b5c5a0817c857ca72cb97 (MD5)
  Previous issue date: 2011-12-01
DOI: 10.5061/dryad.k84c3k8j/3
title: Table S3: Compilation of egg sizes and fecundities of Recent cephalopods

description: Made available in DSpace on 2015-08-20T19:27:05Z (GMT). No. of bitstreams: 3
README.doc.txt: 1770 bytes, checksum: 9142b4e7756f6b6e5ef54f3e74c7435c (MD5)
README.doc: 22528 bytes, checksum: 552643b61f3127136ca6f9163c2ef9bd (MD5)
DeBaets_etal_Appendix3_corrected_dryad.xls: 22528 bytes, checksum: 923f2391888b2852545d52790c7b850b (MD5)
  Previous issue date: 2012-01-03
DOI: 10.5061/dryad.k84c3k8j/1
title: Table S1: Embryonic shell measurements of Devonian ammonoids

description: Made available in DSpace on 2015-08-20T19:26:59Z (GMT). No. of bitstreams: 2
README.docx: 15301 bytes, checksum: bc6d7e174fee270c5313c7b4501a43a4 (MD5)
DeBaets_etal_Appendix1_new.xls: 156160 bytes, checksum: d915ac621ddb22e613bef5925719d0d3 (MD5)
  Previous issue date: 2012-01-03
DOI: 10.5061/dryad.k84c3k8j/2
title: Table S2: Embryonic shell measurements of Carboniferous-Cretaceous ammonoids

description: Made available in DSpace on 2015-08-20T19:27:02Z (GMT). No. of bitstreams: 2
README.docx: 13881 bytes, checksum: 7fe1aaf80964b5801c7b3e67476e624f (MD5)
DeBaets_etal_Appendix2_new.xls: 61440 bytes, checksum: 856809f8ef33f832bb6cb1c30df005af (MD5)
  Previous issue date: 2012-01-03
DOI: 10.5061/dryad.k84c3k8j/4
title: Table S4: Compilation of adult size conch measurements, calculated body chamber and egg volumes and egg number estimates

description: Made available in DSpace on 2015-08-20T19:27:08Z (GMT). No. of bitstreams: 3
README.doc.txt: 742 bytes, checksum: 2659aa8cebcc1908bce4898947c36c17 (MD5)
DeBaets_etal_Appendix4.xls: 29184 bytes, checksum: 92618cf661207c0cb1837cc2b29b984b (MD5)
README.doc: 20480 bytes, checksum: 779f3a73e44d28ea7534ac4c4ab8a8e5 (MD5)
  Previous issue date: 2012-01-03
DOI: 10.5061/dryad.k84c3k8j/5
title: Figure S1: Changes in coiling and initial chamber size through time

description: (A) Diversity from the early Emsian to the late Eifelian with proportion of forms with openly coiled adult whorls and umbilical window (open + enclosed). The embryonic and post-embryonic whorls of representative taxa are shown of each category are shown (respectively Erbenoceras, Mimagoniatites and Agoniatites). (B-C) Boxplots showing the distribution and fluctuations of initial chamber size (initial chamber diameter PD in mm) within the Devonian (B) and in the Phanerozoic (C) from the Devonian until the Cretaceous (whiskers = minima and maxima excluding outliers, boxes = middle two quartiles, horizontal stripe = median value, dots = outliers). Abbreviations: E. Dev = Early Devonian, M. Dev. = Middle Devonian, L. Dev. = Late Devonian, Dev. = Devonian, Carb. = Carboniferous, Perm. = Permian, Tria = Triassic, Jura. = Jurassic, Cret. = Cretaceous. Histograms were produced in the freely available statistical environment R (http://www.r-project.org/).
DOI: 10.5061/dryad.q0h473vr/1
title: Naya_Dataset

description: Basal and maximum metabolic rates for rodents
DOI: 10.5255/ukda-sn-6918-1
title: Young People's Behaviour and Attitudes Survey, 2010
DOI: 10.3334/cdiac/amf.us-ar1.b
title: Ameriflux Biological Data Template for ARM USDA UNL OSU Woodward Switchgrass 1 Site
DOI: 10.3334/cdiac/amf.us-ar2.b
title: Ameriflux Biological Data Template for ARM USDA UNL OSU Woodward Switchgrass 2 Site
DOI: 10.3334/cdiac/amf.us-cop.b
title: Ameriflux Biological Data Template for Corral Pocket Site
DOI: 10.3334/cdiac/amf.us-gle.b
title: Ameriflux Biological Data Template for GLEES Site
DOI: 10.3334/cdiac/amf.us-mpj.b
title: Ameriflux Biological Data Template for Heritage Land Conservancy Pinyon Juniper Woodland Site
DOI: 10.3334/cdiac/amf.us-oho.b
title: Ameriflux Biological Data Template for Ohio Oak Openings Site
DOI: 10.3334/cdiac/amf.us-seg.b
title: Ameriflux Biological Data Template for Sevilleta Desert Grassland (LTER) Site
DOI: 10.3334/cdiac/amf.us-ses.b
title: Ameriflux Biological Data Template for Sevilleta Desert Shrubland (LTER) Site
DOI: 10.3334/cdiac/amf.us-vcm.b
title: Ameriflux Biological Data Template for Valles Caldera Mixed Conifer Site
DOI: 10.3334/cdiac/amf.us-vcp.b
title: Ameriflux Biological Data Template for Valles Caldera Ponderosa Pine Site
DOI: 10.3334/cdiac/amf.us-wjs.b
title: Ameriflux Biological Data Template for Tablelands Juniper Savanna Site
DOI: 10.3334/cdiac/amf.us-wrc.b
title: Ameriflux Biological Data Template for Wind River Crane Site
DOI: 10.3334/cdiac/atg.003
title: Atmospheric Fluoroform (CHF3, HFC-23) at Cape Grim, Tasmania (1978-1995)

description: The sampling and analytical methods are described more fully in Oram et al. (1998). In summary, air samples were taken from the archive of Cape Grim, Tasmania (41oS, 145oE) air samples collected from 1978 through 1995. Comparisons of CFC-11, CFC-12, CFC-113, CH3CCl3, and CH4 data between archive samples and corresponding in-situ samples for the same dates confirm that the archive samples are both representative and stable over time. Samples were analyzed by gas chromatography-mass spectrometry (GC-MS), using a KCl-passivated alumina PLOT column. Fluoroform was monitored on mass 69 (CF3+). The analytical precision (one standard deviation of the mean) for two or three replicate analyses was typically ± 1% of the mean measured value. The overall uncertainty of the observed data is ± 10%, taking into account uncertainties in the preparation of the primary standards, the purity of the fluoroform used to make the primary standards, as well as the analytical precision.
DOI: 10.3334/cdiac/atg.004
title: Atmospheric Methyl Chloride

description: This data set provides monthly average concentrations of atmospheric methyl chloride taken from seven locations distributed among the polar, middle, and tropical latitudes of both hemispheres. The seven primary sites include Pt. Barrow, Alaska; Cape Kumukahi and Mauna Loa, Hawaii; Cape Matatula, Samoa; Cape Grim, Tasmania; and the South Pole and Palmer Station, Antarctica. Concentration measurements from these seven sites cover a period of 16 years, extending from 1981-1997. Monthly data taken between 1987-1989 from 20 short-term sites and vertical distribution measured at various latitudes are also provided. Air samples were collected from various sites in stainless steel flasks and methyl chloride concentrations were measured using an Electron Capture Gas Chromatograph. Concentrations are reported as mixing ratios in dry air. The concentrations are determined by using a set of calibration standards that are referenced against a primary standard which is also used to establish the absolute concentration. The primary standards were prepared by the investigators in the absence of an available standard from a centralized location. The data are useful in global methyl chloride budget analyses and for determining the atmospheric distribution and trends of methyl chloride and estimating the total emissions at various latitudes.
DOI: 10.3334/cdiac/atg.013
title: Atmospheric CO2 Record from In Situ Measurements at Amsterdam Island (1980-1995)

description: Until 1993 air samples were collected continuously through an air intake located at the top of a tower, 9 m above ground and 65 m above mean sea level. Since 1994, the intake has been situated 20 m above ground and 76 m above mean sea level. The tower is located at the north-northwest end of the island on the edge of a 55 m cliff. The air is dried by means of a cryogenic water trap at -60°C. Until 1990, determinations of CO2 were made by using successively two Hartmann-Braun URAS 2T nondispersive infrared (NDIR) analyzers. Since 1991, CO2 determinations have been made using a Siemens ULTRAMAT 5F NDIR. Standard gases in use from October 1980 to December of 1984 were CO2-in-N2 mixtures certified by Scripps Institution of Oceanography (SIO). The N2 scale was corrected for the carrier gas effect to obtain the air scale (WMO mole fraction scale). In 1985, CO2-in-air mixtures expressed in the 1985 WMO mole fraction in air scale were introduced. In 1990, a new series of 12 primary standard gases were gravimetrically prepared, then linearly adjusted at the laboratory and checked several times (i.e., 1990, 1992, and 1993) through intercalibrations with DSIR in New Zealand and NOAA/CMDL, which both used the 1985 mole fraction scale. The agreement was always better than 0.1 ppm (Monfray et al. 1992). Since 1993, the 1993 mole fraction scale has been used thanks to a new series of 10 cylinders provided by SIO.
DOI: 10.3334/cdiac/atg.014
title: Atmospheric CO2 Record from In Situ Measurements at K-Puszta, Hungary (1981 - 1997)

description: The K-puszta regional background air pollution monitoring station was established in a clearing in a mixed forest on the Hungarian Great Plain in the middle of the Carpathian Basin. K-puszta is as free from direct pollution as possible in the highly industrialized, densely populated central Europe. Because of the growing vegetation, the station was moved in September 1993 to a larger clearing, also at the same elevation, approximately 500 m from the original site. The region is climatologically calm. The yearly mean atmospheric CO2 concentration at K-puszta, Hungary increased from 354.1 parts per million (ppm) in 1981 to 377.0 ppm in 1997. Because the K-puszta station is located in a clearing of a forested area on the Hungarian Great Plain, it is subject to significant biospheric effects. As a result, the record from K-puszta shows high seasonal and interannual variability. However, the trends and temporal features of the K-puszta record parallel those observed at other Northern Hemisphere baseline air pollution monitoring stations (Haszpra 1995).
DOI: 10.3334/cdiac/atg.015
title: Atmospheric CO2 Record from Continuous Measurements at Jubany Station, Antarctica (March 1994 - December 2009)

description: The Italian PNRA (National Research Program in Antarctica) began continuous atmospheric carbon dioxide measurements at Jubany in 1994. The laboratory at Jubany Station is operated year-round by the DNA (Argentine Antarctic Department) through an agreement with PNRA. The Antarctic station at Jubany (62° 14'S, 58° 40'W) is situated on King George Island, in the South Shetland archipelago north of the Antarctic Penisula. On the basis of annual averages calculated from monthly averages, CO2 levels at Jubany have risen from 356.75 in 1994 to 384.74 in 2009.
DOI: 10.3334/cdiac/atg.016
title: Atmospheric Carbon Dioxide Record from In Situ Measurements at Mt. Cimone (1979-1997)

description: Continuous atmospheric CO2 measurements have been carried out at Mt. Cimone since 1979. Since December 1988, air samples have also been collected approximately once per week in a pair of 2-L, electropolished, stainless steel cylindrical flasks. From 1979 until December 1988, a Hartmann and Braun URAS-2T NDIR gas analyzer was used for CO2 determinations. Currently, CO2 determinations are made through the use of a Siemens Ultramat-5E NDIR gas analyzer. Water vapor is eliminated by passing the air through a U-tube placed in an alcohol bath at -600°C. Calibration of the Ultramat-5E is accomplished by using two CO2-in-air working standard gases. These working standard gas concentrations are checked 10 days apart against three CO2-in-air mixtures that serve as secondary standards. The secondary standards are checked every 6 months against five other CO2-in-air primary standards. Hourly CO2 values are routinely plotted together with wind data. Anomalous concentrations and those affected by instrument failures or local sources are rejected. Atmospheric CO2 concentrations from Mt. Cimone are reported in the 1993 WMO/Scripps mole fraction scale. For further details on the measurement apparatus and sampling techniques used at Mt. Cimone, see Cundari et al. (1990).
DOI: 10.3334/cdiac/atg.018
title: Atmospheric CO2 Concentrations from the Commonwealth Scientific and Industrial Research Organization (CSIRO) GASLAB Flask Sampling Network (March 1991 - December 2006)

description: Individual measurements have been obtained from flask air samples returned to the CSIRO GASLAB. Typical sample storage times range from days to weeks for some sites (e.g. Cape Grim, Aircraft over Tasmania and Bass Strait) to as much as one year for Macquarie Island and the Antarctic sites. Experiments carried out to test for changes in sample CO2 mixing ratio during storage have shown significant drifts in some flask types over test periods of several months to years (Cooper et al., 1999). Corrections derived from the test results are applied to network data according to flask type. These measurements indicate a rise in annual average atmospheric CO2 concentration from 357.72 parts per million by volume (ppmv) in 1992 to 383.05 ppmv in 2006, or an increase in annual average of about 1.81 ppmv/year. These flask data may be compared with other flask measurements from the Scripps Institution of Oceanography, available through 2004 in TRENDS; both indicate an annual average increase of 1.72 ppmv/year throuth 2004. Differences may be attributed to different sampling times or days, different numbers of samples, and different curve-fitting techniques used to obtain monthly and annual average numbers from flask data. Measurement error in flask data is believed to be small (Masarie et al., 2001).