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DOI: 10.14291/tccon.ggg2014.parkfalls01.r0/1149161
title: TCCON data from Park Falls (US), Release GGG2014.R0

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.parkfalls01.R1 <br><br>The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Park Falls, U.S.A..
description: <br>Cite this record as:<br>Wennberg, P. O., Roehl, C. M., Wunch, D., Toon, G. C., Blavier, J.-F., Washenfelder, R., … Ayers, J. (2017). <i>TCCON data from Park Falls (US), Release GGG2014.R0</i> [Data set]. CaltechDATA. https://doi.org/10.14291/tccon.ggg2014.parkfalls01.r0/1149161<br> or choose a  different citation style.<br>Download Citation<br>
DOI: 10.1594/pangaea.253612
title: Physical properties of sediment core MD99-2281

description: Due to problems with the core logger, all physical properties data of IMAGES V cruise should be considered unvalidated.
DOI: 10.1594/pangaea.808221
title: Noble gases measured on water bottle samples during L'Atalante cruise ATA3
DOI: 10.1594/pangaea.82182
title: Light intensity of P20 (1989-03-10T14:30)
DOI: 10.1594/pangaea.824423
title: Spatial distribution of key zooplankton species using continuous plankton recorder (CPR) data from the North Atlantic (2000-2009)

description: The continuous plankton recorder (CPR) survey is an upper layer plankton monitoring program that has regularly collected samples, at monthly intervals, in the North Atlantic and adjacent seas since 1946. Water from approximately 6 m depth enters the CPR through a small aperture at the front of the sampler and travels down a tunnel where it passes through a silk filtering mesh of 270 µm before exiting at the back of the CPR. The plankton filtered on the silk is analyzed in sections corresponding to 10 nautical miles (approx. 3 m**3 of seawater filtered) and the plankton microscopically identified (Richardson et al., 2006 and reference therein). In the present study we used the CPR data to investigate the current basin scale distribution of C. finmarchicus (C5-C6), C. helgolandicus (C5-C6), C. hyperboreus (C5-C6), Pseudocalanus spp. (C6), Oithona spp. (C1-C6), total Euphausiida, total Thecosomata and the presence/absence of Cnidaria and the Phytoplankton Colour Index (PCI). The PCI, which is a visual assessment of the greenness of the silk, is used as an indicator of the distribution of total phytoplankton biomass across the Atlantic basin (Batten et al., 2003). Monthly data collected between 2000 and 2009 were gridded using the inverse-distance interpolation method, in which the interpolated values were the nodes of a 2 degree by 2 degree grid. The resulting twelve monthly matrices were then averaged within the year and in the case of the zooplankton the data were log-transformed (i.e. log10 (x+1).
description: Supplement to: Melle, Webjørn; Runge, Jeffrey A; Head, Erica J H; Plourde, Stéphane; Castellani, Claudia; Licandro, Priscilla; Pierson, James; Jónasdóttir, Sigrún Huld; Johnson, C; Broms, Cecilie; Debes, Høgni; Falkenhaug, Tone; Gaard, Eilif; Gislason, Astthor; Heath, Michael R; Niehoff, Barbara; Nielsen, Torkel Gissel; Pepin, Pierre; Stenevik, Erling Kaare; Chust, Guillem (2015): Biogeography of key mesozooplankton species in the North Atlantic and egg production of Calanus finmarchicus. Earth System Science Data, 7(2), 223-230
DOI: 10.1594/pangaea.834200
title: Land surface hydrology from remotely sensed data at PAGE21 sites with links to geotiff images

description: Land surface hydrology is characterized at selected sites (area extent up to 400 km²) in arctic and sub-arctic environments by (1) open water classification at a range of spatial resolutions (nominal 3 m from ALOS PRISM, 10 m from ALOS AVNIR, ~7/16m from ALOS PALSAR fine beam), (2) the topographic wetness index (based on 10 m DEMs from ALOS PRISM where available, or the 90 m ESA DUE Permafrost dataset) and (3) seasonal inundation dynamics (75 m from ENVISAT ASAR Wide swath).The datasets are available as GeoTIFFs grouped by site and include documentation (pdf), validation results and an overview map as png at selected sites. The dataset has been compiled as part of the PAGE21 WP5 'Multi-scale integration and remote sensing'.ALOS datasets have been available through JAXA PI agreements #80, and #1200 by Vienna University of Technology.
DOI: 10.1594/pangaea.863933
title: KOSMOS Finland 2012 mesocosm study: primary production and respiration

description: Anthropogenic carbon dioxide (CO2) emissions are reducing the pH in the world's oceans. The plankton community is a key component driving biogeochemical fluxes, and the effect of increased CO2 on plankton is critical for understanding the ramifications of ocean acidification on global carbon fluxes. We determined the plankton community composition and measured primary production, respiration rates and carbon export (defined here as carbon sinking out of a shallow, coastal area) during an ocean acidification experiment. Mesocosms (~ 55 m3) were set up in the Baltic Sea with a gradient of CO2 levels initially ranging from ambient (~ 240 µatm), used as control, to high CO2 (up to ~ 1330 µatm). The phytoplankton community was dominated by dinoflagellates, diatoms, cyanobacteria and chlorophytes, and the zooplankton community by protozoans, heterotrophic dinoflagellates and cladocerans. The plankton community composition was relatively homogenous between treatments. Community respiration rates were lower at high CO2 levels. The carbon-normalized respiration was approximately 40 % lower in the high CO2 environment compared with the controls during the latter phase of the experiment. We did not, however, detect any effect of increased CO2 on primary production. This could be due to measurement uncertainty, as the measured total particular carbon (TPC) and combined results presented in this special issue suggest that the reduced respiration rate translated into higher net carbon fixation. The percent carbon derived from microscopy counts (both phyto- and zooplankton), of the measured total particular carbon (TPC) decreased from ~ 26 % at t0 to ~ 8 % at t31, probably driven by a shift towards smaller plankton (&lt; 4 µm) not enumerated by microscopy. Our results suggest that reduced respiration lead to increased net carbon fixation at high CO2. However, the increased primary production did not translate into increased carbon export, and did consequently not work as a negative feedback mechanism for increasing atmospheric CO2 concentration.
description: Primary production was determined by measuring incorporation of 14C over 24 h incubation.Respiration was measure as decreasing O2 by an optical O2 sensor over 48 h.
description: Supplement to: Spilling, Kristian; Paul, Allanah Joy; Virkkala, Niklas; Hastings, Tom; Lischka, Silke; Stuhr, Annegret; Bermúdez Monsalve, Rafael; Czerny, Jan; Boxhammer, Tim; Schulz, Kai Georg; Ludwig, Andrea; Riebesell, Ulf (2016): Ocean acidification decreases plankton respiration: evidence from a mesocosm experiment. Biogeosciences, 13(16), 4707-4719
DOI: 10.17632/9brnm3c39k.1
title: Cracks In Concrete Structures (CICS) Dataset

description: A drone (phantom4 pro) with a 20 M Pixel and full HD camera was used to prepare images of concrete structures in campus of Imam Khomeini International University and Qazvin city in Iran. Various of concrete structures, using concrete cement type 2 and grade 250 to 300 were considered to collect images. The information provided by phantom4 pro was saved as color images and videos which resulted in the storage of 900 images with 4k resolution. The stored color images were first converted to grayscale images, and then, each of the 900 grayscale images was divided into small images with 330×330 pixels resolution. Then, 12000 grayscale images with the size of 330×330 pixels were created. These images were classified visually into three classes (without crack, simple crack, and multibranched crack). Finally, these images named as Cracks In Concrete Structures (CICS) dataset consists of three folders. The folder names reflect the shape of the contained images. There are 4000 images without crack, 4000 simple crack images, and 4000 images with multibranched crack.
DOI: 10.17632/pcbpbx5x7n.1
title: Soil texture data Brazilian SOGLO field sites

description: Texture of soil samples collected during the summer field campaign of 2014 in Rio Grando Do Sul, Brazil Samples collected in the framework of SOGLO, a BELSPO funded IUAP project, supported by the Belgian Science Policy Office (BelSPO) in the framework of the Inter University Attraction Pole project (P7/24): SOGLO – The Soil system under global change.
DOI: 10.17632/r996jnwhtg.1
title: Alkaline Extractable Silica - SOGLO Project

description: Alkaline Extractable Silica. Samples collected in the framework of SOGLO, a BELSPO funded IUAP project, supported by the Belgian Science Policy Office (BelSPO) in the framework of the Inter University Attraction Pole project (P7/24): SOGLO – The Soil system under global change.
DOI: 10.17632/tt3yj2pf38.3
title: Human Sperm Head Morphology dataset (HuSHeM)

description: At the Isfahan Fertility and Infertility Center, semen samples were collected from fifteen patients. The sperm samples were fixed and stained using the Diff-Quick method. Using an Olympus CX21 microscope with a ×100 objective lens and a ×10 eyepiece and a Sony color camera (Model No SSC-DC58AP), 725 images were taken. The resolution of each image was 576×720 pixels. From these images, the sperm heads were cropped and classified into five classes by three specialists. The classes are Normal, Pyriform, Tapered, Amorphous, and Others. After the classification, only the samples which there was a collective consensus about their class were kept in the dataset. Four classes of Normal, Pyriform, Tapered, and Amorphous are included in this dataset. The resulting dataset of sperm heads denoted as Human Sperm Head Morphology dataset (HuSHeM) consists of four folders, each corresponding to a specific set of sperm shapes. The folder names reflect the shape of the contained images. There are 54 Normal, 53 Tapered, 57 Pyriform, and 52 Amorphous sperm heads. The images of sperm heads are in the RGB format with the size of 131×131 pixels.
DOI: 10.3334/cdiac/otg.carina.atl.v1.0
title: Carbon in the Atlantic Ocean Region - the CARINA project: Results and Data, Version 1.0
DOI: 10.3334/cdiac/spruce.030
title: SPRUCE Enclosure Corral and Sump System: Description, Operation, and Calibration

description: A subsurface corral system for each enclosure isolates the movement of water from the surrounding bog into the enclosed area of the experimental plot and, in combination with the sump system, measures the outflow and collects water samples at each experimental chamber within the SPRUCE Project. These measurements are critical to the calculation of whole-ecosystem water, carbon, and solute fluxes. This document provides a description of the components, operation, and calibration of the corral and sump system. Watch for periodic updates.
DOI: 10.35111/zx7a-fw03
title: TI 46-Word

description: <h3>Introduction</h3><br>
<p>This release contains a corpus of speech which was originally designed and collected at Texas Instruments, Inc. (TI) in 1980 and used initially in performance assessment tests of isolated-word speaker-dependent technology. (See "Speech Recognition: Turning Theory to Practice" by G. R. Doddington and T. B. Schalk, in IEEE Spectrum, Vol. 18, No. 9, September 1981.)</p><br>
<p>The 46-word vocabulary consists of two sub-vocabularies: (1) the TI 20-word vocabulary (consisting of the digits zero through nine plus the words "enter," "erase," "go," "help," "no," "rubout," "repeat," "stop," "start," and "yes" as well as (2) the TI 26-word "alphabet set" (consisting of the letters "a" through "z").</p><br>
<h3>Data</h3><br>
<p>The corpus contains read utterances from 16 speakers (eight males and eight females) each speaking 26 utterances of the 46-word vocabulary: 16 tokens designated as training and ten as test. Note these numbers reflect the aim of the collection and for various reasons, the full number of utterances was not reached for some speakers. See the included documentation for more information.</p><br>
<p>The corpus was collected at Texas Instruments in a quiet acoustic enclosure using an Electro-Voice RE-16 Dynamic Cardiod microphone at 12.5kHz sample rate with 12-bit quantization. The files are in NIST SPHERE format and have a ".wav" filename extension.</p><br>
<h3>Updates</h3><br>
<p>As of October 5, 2016 the documentation was updated to more closely reflect the file inventory.</p></br>
DOI: 10.5065/d63x84kg
title: Sea-ice core measurements
DOI: 10.5065/d6mw2f2h
title: Automated ice mass balance site (SIZONET)
DOI: 10.5067/aqua/airs/data324
title: Aqua AIRS Level 3 Support Monthly Product using AIRS IR-only V6
DOI: 10.5067/imr9d3pei28u
title: MEaSUREs ITS_LIVE Landsat Image-Pair Glacier and Ice Sheet Surface Velocities, Version 1
DOI: 10.5067/measures/cryosphere/nsidc-0484.001
title: MEaSUREs InSAR-Based Antarctica Ice Velocity Map, Version 1
DOI: 10.5281/zenodo.825527
title: A Dataset Of Atmospheric Ozone Above The Mexico City Basin Retrieved From Ftir Remote Sensing Observations Made At Two Different Ground Altitudes

description: This dataset of atmospheric ozone (O<sub>3</sub>) has been generated from solar absorption spectra measured in central Mexico using ground-based Fourier-Transform Infrared (FTIR) spectrometers. The FTIR experiments have been operated by the “Spectroscopy and Remote Sensing” Research Group of the Centro de Ciencias de la Atmósfera of the Universidad Nacional Autónoma de México (http://www.atmosfera.unam.mx/espectroscopia/index.html).

The dataset covers measurements made between November 2012 and February 2014 applying two different FTIR spectrometers. The first instrument offers very high resolution spectra and contributes to NDACC (Network for the Detection of Atmospheric Composition Change). It is located at the mountain observatory of Altzomoni (ALTZ) about 1700m above the Mexico City basin. The second instrument has a medium spectral resolution and is located inside of Mexico City at the Universidad Nacional Autónoma de México (UNAM) at a horizontal distance of about 60km to the mountain observatory.

The here provided dataset consists of two NETCDF data-files for each station and a MATLAB script for reading the NETCDF files. The files “ALTZ_IFS125_O3.nc” and “UNAM_IFS125_O3.nc” contain the retrieved O<sub>3</sub> state vectors, the O<sub>3</sub> averaging kernels and the O<sub>3</sub> a priori profiles, together with auxiliary data: observation time, observation geometry, instrumental settings, atmospheric temperature and humidity profiles. The data as well as the method for combining the two different observations are presented in Plaza-Medina et al. (2017), which should be consulted for more details.

The files “ALTZ_IFS125_O3_Jac+Gain.nc” and “UNAM_IFS125_O3_Jac+Gain.nc” contain the Jacobians (for O<sub>3</sub> as well as for error sources) and the Gain matrix, together with the auxiliary data. The MATLAB script “readNETCDF_and_combine2FTIR.m” reads the NETCDF files and performs the operations needed for the generation of a combined product, thereby exploiting the synergetic effects of two observations made in coincidence but at different ground altitudes.

A related dataset with Altzomoni O<sub>3</sub> profiles obtained by applying slightly different retrieval settings is available at the NDACC database (ftp://ftp.cpc.ncep.noaa.gov/ndacc/station/altzomoni/hdf/ftir/). Further datasets of atmospheric parameters as measured by different techniques are available at the webpage of the Red Universitario de Observaciones Atmosfericas (www.ruoa.unam.mx).
DOI: 10.5676/eum_saf_cm/cma_seviri/v001
title: SEVIRI cloud mask dataset - Edition 1
title: 15 minutes resolution

description: The SEVIRI cloud mask dataset has been generated and released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF) to enhance the cloud property dataset CLAAS. The SEVIRI cloud mask dataset contains the cloud mask in 15 minutes temporal resolution. The dataset is pixel based, where a SEVIRI pixel is about 4x4 km² in size, depending on location in SEVIRI's field of view. The data are provided with regional coverage from ± 60° N/S and ± 60° E/W.
Inter-calibrated effective radiances of Meteosat-8 and 9 form the basis of the cloud mask dataset which spans 9 years from 2004 to 2012.
The dataset is complemented with a comprehensive documentation of the algorithms used and the generation of the dataset. Validation studies and user guidance are available as well. 
With this dataset, small, regional and large scale cloud processes at temporal scales of hours to years can be studied. In addition, the dataset is suited for all applications in which a conservative cloud mask is essential (e.g. land surface, aerosol or trace gas retrievals).
DOI: 10.5676/eum_saf_cm/wvt_atovs/v001
title: Vertically integrated water vapour, humidity and temperature at pressures levels and layers from ATOVS
title: Daily Means / Monthly Means

description: The CM SAF ATOVS data set offers 13 years 
		(01 January 1999 - 31 December 2011) of water vapour and temperature satellite-derived global products. 
		Different parameters generated simultaneously are available: vertically integrated water 
		vapour (kg/m2), vertically integrated water vapour (kg/m2) and mean temperature (K) in 5 layers, 
		specific humidity (g/kg) and temperature (K) on 6 levels. Also available are number of valid 
		observations and an uncertainty estimate. The data set was derived from ATOVS onboard the NOAA 
		satellites NOAA-15, NOAA-16, NOAA-17, NOAA-18, NOAA-19 and onboard the European Metop-A satellite. 
		ATOVS is composed of three instruments: HIRS, AMSU-B/MHS and AMSU-A. After application of a kriging 
		routine, the products are available as daily and monthly means on a cylindrical equal area projection 
		of 90km×90km. Grid information is given for centre position. Layers are (hPa): 200-300, 300-500, 
		500-700, 700-850, 850-surface. Levels are: 200, 300, 500, 700, 850, 1000 hPa.
DOI: 10.6084/m9.figshare.1335851
title: Amazon air fungi

description: <strong>Description</strong> Fungal large subunit ribosomal rDNA amplicons and shotgun metatransctipome sequence data and metadata for fungal communities in the atmosphere above the Amazon rainforest canopy in Brazil. Data collection procedures are described in the paper "Characterization of active and total fungal communities in the atmosphere over the Amazon rainforest" by Womack et al. (manuscript submitted to Biogeosciences). <strong>LSU files:</strong> amazon_air_fungi_metadata.txt - A tab-delimited text file with information on barcode and primer sequences and date of sample collection. The columns of the text file include a sample identifier (SampleID), barcode sequences (BarcodeSequence), reverse primer sequence (LinkerPrimerSequence), and the date of sample collection (Description). R3bc_R1_052913_062813a<strong>x</strong>.fastq - Raw LSU sequence data in FASTQ format, produced by a sequencing run using Illumina MiSeq 150bp paired-end sequencing technology. Due to file size limitations, the original tar/gzip archives have been split into multiple parts. <strong>Metantranscriptome files:</strong> metatrans_barcode_file_edit.txt – Barcode file used for demultiplexing with the FASTX-Toolkit (http://hannonlab.cshl.edu/fastx_toolkit/). Raw metatranscriptome sequences produced by a sequencing run using Illumina HiSeq 150 bp paired-end sequencing technology. The paired-end sequences were joined using fastq-join (https://code.google.com/p/ea-utils/wiki/FastqJoin) and then demultiplexed using FASTX with the commands below: #join raw forward and reverse reads using fastq-join ./fastq-join raw_R1_cat.fastq raw_R2_cat.fastq -o raw_cat_ #barcode split cat raw_cat_un1.fastq | fastx_barcode_splitter.pl --bcfile metatrans_barcode_file_edit.txt --bol --prefix R1_unjoined cat raw_cat_un2.fastq | fastx_barcode_splitter.pl --bcfile metatrans_barcode_file_edit.txt --bol --prefix R2_unjoined cat raw_cat_join.fastq | fastx_barcode_splitter.pl --bcfile metatrans_barcode_file_edit.txt --bol --prefix joined For each sample day (Dec. 8, Dec. 9, Dec. 11) there are three files, R1_unjoined, R2_unjoined, and joined. The three files may have been split into multiple parts (a<strong>x</strong>).
DOI: 10.7265/n5736nv7
title: Sea Ice Index, Version 2
DOI: 10.7301/z0445jdk
title: Data for Measuring ecosystem nitrogen status: a comparison of proxies
DOI: 10.14291/tccon.ggg2014.lamont01.r1/1255070
title: TCCON data from Lamont (US), Release GGG2014.R1

description: The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Lamont, U.S.A..
description: <br>Cite this record as:<br>Wennberg, P. O., Wunch, D., Roehl, C. M., Blavier, J.-F., Toon, G. C., & Allen, N. T. (2016). <i>TCCON data from Lamont (US), Release GGG2014.R1</i> (Version GGG2014.R1) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.LAMONT01.R1/1255070<br> or choose a different citation style.<br>Download Citation<br>
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