cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7932326
title: Super-resolution single molecule localization microscopy (SMLM) data of caveolin-1 (Cav1) protein in prostate cancer cells (PC3). Identifying SMLM Cav1 domains using deep learning.

description: Super-resolution single molecule localization microscopy (SMLM) data of caveolin-1 (Cav1) protein. Our dataset consists of two populations of prostate cancer (PC3) cells. In every cell, we have super-resolution SMLM images for the localization of the Cav1 proteins. Specifically, PC3 and CAVIN1/PTRF transfected PC3 cells (also called PC3-PTRF). The PC3-PTRF population comes with the wide-field CAVIN1/PTRF mask images. The goal is to study the clusters of the Cav1 in the two populations and automatically identify the Cav1 molecular domains and complexes (Caveolae and scaffolds) using the machine and deep learning models using various data representations (3D point cloud, hand-crafted features, multi-view projections, etc.). The Cav1 clusters are pre-processed and extracted by processing the 3D point cloud data using Khater et. al., 2018 method "<i>3D SMLM Network Analysis</i>" pipeline (https://www.nature.com/articles/s41598-018-27216-4)
DOI: 10.6084/m9.figshare.7932293
title: gVCF_HG02603

description: 1000 Genomes gVCF mapped to hs37d5 for HG02603. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932290
title: gVCF_HG04202

description: 1000 Genomes gVCF mapped to hs37d5 for HG04202. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932293.v1
title: gVCF_HG02603

description: 1000 Genomes gVCF mapped to hs37d5 for HG02603. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932305
title: gVCF_NA19818

description: 1000 Genomes gVCF mapped to hs37d5 for NA19818. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932290.v1
title: gVCF_HG04202

description: 1000 Genomes gVCF mapped to hs37d5 for HG04202. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932305.v1
title: gVCF_NA19818

description: 1000 Genomes gVCF mapped to hs37d5 for NA19818. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932260
title: gVCF_HG04200

description: 1000 Genomes gVCF mapped to hs37d5 for HG04200. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932263
title: gVCF_HG02601

description: 1000 Genomes gVCF mapped to hs37d5 for HG02601. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932278
title: gVCF_NA19795

description: 1000 Genomes gVCF mapped to hs37d5 for NA19795. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932197
title: WEoN example data

description: this compressed file have multiples files to test our software called WEoN<br>
DOI: 10.6084/m9.figshare.7932257
title: gVCF_NA19794

description: 1000 Genomes gVCF mapped to hs37d5 for NA19794. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932260.v1
title: gVCF_HG04200

description: 1000 Genomes gVCF mapped to hs37d5 for HG04200. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932263.v1
title: gVCF_HG02601

description: 1000 Genomes gVCF mapped to hs37d5 for HG02601. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932278.v1
title: gVCF_NA19795

description: 1000 Genomes gVCF mapped to hs37d5 for NA19795. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932167
title: gVCF_HG04198

description: 1000 Genomes gVCF mapped to hs37d5 for HG04198. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932179
title: Dose-response for assessing the cancer risk of inorganic arsenic in drinking water: the scientific basis for use of a threshold approach

description: The biologic effects of inorganic arsenic predominantly involve reaction of the trivalent forms with sulfhydryl groups in critical proteins in target cells, potentially leading to various toxicologic events including cancer. This mode of action is a threshold process, requiring sufficient concentrations of trivalent arsenic to disrupt normal cellular function. Nevertheless, cancer risk assessments for inorganic arsenic have traditionally utilized various dose-response models that extrapolate risks from high doses assuming low-dose linearity without a threshold. We present here an approach for a cancer risk assessment for inorganic arsenic in drinking water that involves considerations of this threshold process. Extensive investigations in mode of action analysis, <i>in vitro</i> studies (&gt;0.1 µM), and in animal studies (&gt;2 mg/L in drinking water or 2 mg/kg of diet), collectively indicate a threshold basis for inorganic arsenic-related cancers. These studies support a threshold for the effects of arsenic in humans of 50–100 µg/L in drinking water (about 65 µg/L). We then evaluate the epidemiology of cancers of the urinary bladder, lung, and skin and non-cancer skin changes for consistency with this calculated value, focusing on studies involving low-level exposures to inorganic arsenic primarily in drinking water (approximately &lt;150 µg/L). Based on the relevant epidemiological studies with individual-level data, a threshold level for inorganic arsenic in the drinking water for these cancers is estimated to be around 100 µg/L, with strong evidence that it is between 50 and 150 µg/L, consistent with the value calculated based on mechanistic, <i>in vitro</i> and <i>in vivo</i> investigations. This evaluation provides an alternative mode of action-based approach for assessing health-protective levels for oral arsenic exposure based on the collective <i>in vitro</i>, <i>in vivo</i>, and human evidence rather than the use of a linear low-dose extrapolation based on default assumptions and theories.
DOI: 10.6084/m9.figshare.7932257.v1
title: gVCF_NA19794

description: 1000 Genomes gVCF mapped to hs37d5 for NA19794. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932152
title: gVCF_HG02600

description: 1000 Genomes gVCF mapped to hs37d5 for HG02600. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932167.v1
title: gVCF_HG04198

description: 1000 Genomes gVCF mapped to hs37d5 for HG04198. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932146
title: gVCF_NA19792

description: 1000 Genomes gVCF mapped to hs37d5 for NA19792. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932152.v1
title: gVCF_HG02600

description: 1000 Genomes gVCF mapped to hs37d5 for HG02600. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932179.v2
title: Dose-response for assessing the cancer risk of inorganic arsenic in drinking water: the scientific basis for use of a threshold approach

description: The biologic effects of inorganic arsenic predominantly involve reaction of the trivalent forms with sulfhydryl groups in critical proteins in target cells, potentially leading to various toxicologic events including cancer. This mode of action is a threshold process, requiring sufficient concentrations of trivalent arsenic to disrupt normal cellular function. Nevertheless, cancer risk assessments for inorganic arsenic have traditionally utilized various dose-response models that extrapolate risks from high doses assuming low-dose linearity without a threshold. We present here an approach for a cancer risk assessment for inorganic arsenic in drinking water that involves considerations of this threshold process. Extensive investigations in mode of action analysis, <i>in vitro</i> studies (&gt;0.1 µM), and in animal studies (&gt;2 mg/L in drinking water or 2 mg/kg of diet), collectively indicate a threshold basis for inorganic arsenic-related cancers. These studies support a threshold for the effects of arsenic in humans of 50–100 µg/L in drinking water (about 65 µg/L). We then evaluate the epidemiology of cancers of the urinary bladder, lung, and skin and non-cancer skin changes for consistency with this calculated value, focusing on studies involving low-level exposures to inorganic arsenic primarily in drinking water (approximately &lt;150 µg/L). Based on the relevant epidemiological studies with individual-level data, a threshold level for inorganic arsenic in the drinking water for these cancers is estimated to be around 100 µg/L, with strong evidence that it is between 50 and 150 µg/L, consistent with the value calculated based on mechanistic, <i>in vitro</i> and <i>in vivo</i> investigations. This evaluation provides an alternative mode of action-based approach for assessing health-protective levels for oral arsenic exposure based on the collective <i>in vitro</i>, <i>in vivo</i>, and human evidence rather than the use of a linear low-dose extrapolation based on default assumptions and theories.
DOI: 10.6084/m9.figshare.7932197.v1
title: Untitled Item

description: this compressed file have multiples files to test our software called WEoN<br>
DOI: 10.6084/m9.figshare.7932146.v1
title: gVCF_NA19792

description: 1000 Genomes gVCF mapped to hs37d5 for NA19792. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932179.v1
title: Dose-response for assessing the cancer risk of inorganic arsenic in drinking water: the scientific basis for use of a threshold approach

description: The biologic effects of inorganic arsenic predominantly involve reaction of the trivalent forms with sulfhydryl groups in critical proteins in target cells, potentially leading to various toxicologic events including cancer. This mode of action is a threshold process, requiring sufficient concentrations of trivalent arsenic to disrupt normal cellular function. Nevertheless, cancer risk assessments for inorganic arsenic have traditionally utilized various dose-response models that extrapolate risks from high doses assuming low-dose linearity without a threshold. We present here an approach for a cancer risk assessment for inorganic arsenic in drinking water that involves considerations of this threshold process. Extensive investigations in mode of action analysis, <i>in vitro</i> studies (&gt;0.1 µM), and in animal studies (&gt;2 mg/L in drinking water or 2 mg/kg of diet), collectively indicate a threshold basis for inorganic arsenic-related cancers. These studies support a threshold for the effects of arsenic in humans of 50–100 µg/L in drinking water (about 65 µg/L). We then evaluate the epidemiology of cancers of the urinary bladder, lung, and skin and non-cancer skin changes for consistency with this calculated value, focusing on studies involving low-level exposures to inorganic arsenic primarily in drinking water (approximately &lt;150 µg/L). Based on the relevant epidemiological studies with individual-level data, a threshold level for inorganic arsenic in the drinking water for these cancers is estimated to be around 100 µg/L, with strong evidence that it is between 50 and 150 µg/L, consistent with the value calculated based on mechanistic, <i>in vitro</i> and <i>in vivo</i> investigations. This evaluation provides an alternative mode of action-based approach for assessing health-protective levels for oral arsenic exposure based on the collective <i>in vitro</i>, <i>in vivo</i>, and human evidence rather than the use of a linear low-dose extrapolation based on default assumptions and theories.
DOI: 10.6084/m9.figshare.7932125
title: gVCF_HG02597

description: 1000 Genomes gVCF mapped to hs37d5 for HG02597. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932197.v2
title: WEoN example data

description: this compressed file have multiples files to test our software called WEoN<br>
DOI: 10.6084/m9.figshare.7932119
title: gVCF_HG04195

description: 1000 Genomes gVCF mapped to hs37d5 for HG04195. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932197.v3
title: WEoN example data

description: this compressed file have multiples files to test our software called WEoN<br>
DOI: 10.6084/m9.figshare.7932197.v4
title: WEoN example data

description: this compressed file have multiples files to test our software called WEoN<br>
DOI: 10.6084/m9.figshare.7932113
title: Re-introducing non-optimal synonymous codons into codon-optimized constructs enhances soluble recovery of recombinant proteins from Escherichia coli

description: The associated data files relating to the assessment of various molecular approaches to increase soluble expression in <i>Escherichia coli</i>. Sequences of codon optimised cDNAs used for the expression of recombinant small GTPases KRas 4B, RalA, and Rac1 are presented and positions selected for substitution with non-optimal synonymous codons are highlighted in red. In addition, the attached files contains tabulated data reporting the protein yields per litre for each replicate experiment from both soluble and denaturing IMAC purifications.
DOI: 10.6084/m9.figshare.7932122
title: PeerJ_Final

description: New genus New species
DOI: 10.6084/m9.figshare.7932068
title: gVCF_HG02589

description: 1000 Genomes gVCF mapped to hs37d5 for HG02589. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932095
title: gVCF_NA19789

description: 1000 Genomes gVCF mapped to hs37d5 for NA19789. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7932065
title: gVCF_HG04194

description: 1000 Genomes gVCF mapped to hs37d5 for HG04194. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.25346/s6/cxo9pd/ipmxql
title: 1999+02_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/ipqmqh
title: 2008+07_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/ipsqij
title: 2012+02_SUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/ipuoc2
title: 2010+09_SSOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/iqltnq
title: 2010+10_OCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/iqma7y
title: 2000+11_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/iqsrtz
title: 1999+02_BCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/irhvug
title: 2009+11_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/irs8wm
title: 2003+12_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/isb3p0
title: 2007+08_SUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/isjpzx
title: 2011+06_OCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/it6sva
title: 2009+12_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/ited8f
title: 2011+03_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/itiztk
title: 2007+03_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/itksay
title: 2008+05_BCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/itpzw6
title: 2003+12_OCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/itqdoa
title: 2009+10_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/itxnnd
title: 1999+09_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/iulcwb
title: 1998+08_BCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/ivcul6
title: 2008+04_SSOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/ivix4a
title: 1999+05_SSOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/ivj1be
title: 2005+11_DUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/iw0plz
title: 1999+08_DUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/iw1ayo
title: 1997+11_BCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/iwbnvg
title: 2003+07_DUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/ix06zd
title: 2008+06_SUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/ixl2r8
title: 2000+08_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/ixt30m
title: 2012+01_OCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/ixtshh
title: 2012+07_OCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/ixw9vo
title: 2002+04_DUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/ixx5bl
title: 2005+04_BCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/iycfjk
title: 2008+03_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/izlacw
title: 2003+07_OCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/j0m4vj
title: 1998+05_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/j1fwin
title: 2002+05_DUOUT_iatp50_3M.nc
DOI: 10.6075/j0571brs
title: Downieville (DLA): Processed 2-minute data. In Center for Western Weather and Water Extremes (CW3E) Surface Meteorological Observational Dataset

description: CW3E DLA Surface Met Station is instrumented with Texas Electronics 9.6” TE525MM-L tipping bucket rain gauge; CS320 Digital Thermopile Pyranometer; 05108-L RM Young Wind Monitor HD Anemometer; CS106 Barometer; CS215-L CSL Temperature/RH Probe. The CS215 was replaced with a HygroVue10 Temp/RH sensor on 02 March 2022. The tipping bucket was upgraded to a heated tipping bucket on 05 October, 2021. The files available here for download are updated every 1-2 days with most recent data. CW3E is currently working on a partly automated, partly manual QC process to clean and improve all datasets as they are downloaded, which will make the data more accessible to interested scientists and stakeholders. This is an ongoing effort and is not yet implemented.
description: Processed 2-minute data from Downieville, a CW3E Surface Met Station. Each station measures temperature, relative humidity, pressure, and precipitation.
DOI: 10.25346/s6/cxo9pd/j1gfv1
title: 2008+07_BCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/j2xkml
title: 2000+10_DUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/j3wrgi
title: 1997+12_DUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/j3zztt
title: 1998+12_SUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/j5oyw9
title: 2002+05_BCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/j7axdw
title: 2003+02_BCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/j7k51s
title: 2006+01_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/j7m5jk
title: 2004+08_BCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/j8dzsi
title: 1997+03_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/j98xcg
title: 2006+02_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/j9ijn6
title: 2003+07_BCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jac47m
title: 2008+11_OCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jai3xb
title: 2013+12_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jamyyy
title: 2004+11_BCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jao20o
title: 2014+03_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/javlsf
title: 2012+10_BCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jba9m3
title: 2001+06_BCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jbbkw3
title: 2013+08_SUOUT_iatp50_3M.nc
DOI: 10.6075/j0571c61
title: EarthCube Community Feedback on the Proposed Architecture and Next Steps. In EarthCube Organization Materials

description: The Leadership Council (LC) sought feedback from the Technology & Architecture Committee (TAC) and the Council of Data Facilities (CDF) regarding EarthCube’s (EC) architecture plan. The input received from TAC and CDF informed this assessment and recommendations from the Leadership Council. This document synthesizes the community input and makes a number of recommendations to further plan development and undertake subsequent implementation of the EarthCube technical architecture and services plan.
DOI: 10.25346/s6/cxo9pd/jbhfry
title: 1999+03_SSOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jbqnmh
title: 1999+04_SSOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jcckxu
title: 2004+04_SSOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jdjly2
title: 1997+12_SSOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jdrl5m
title: 2005+09_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/je96mc
title: 2014+04_BCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jegvbe
title: 2002+01_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jewg6v
title: 2012+12_BCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jffd2m
title: 2005+08_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jfouos
title: 2009+10_BCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jftrau
title: 2014+03_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jgiy0d
title: 2001+07_BCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jgtigd
title: 2011+02_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jgujz7
title: 2004+02_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jhd1sw
title: 2004+03_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jhohvp
title: 2011+02_DUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jj9t6u
title: 2004+05_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jjcldj
title: 2007+07_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jjnvrs
title: 2014+07_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jjs34d
title: 1999+02_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jlcenn
title: 2011+10_SSOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jliqhl
title: 2003+01_DUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jloved
title: 2004+11_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jm0e7h
title: 2001+07_DUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jorpx5
title: 2007+09_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/josh5y
title: 2000+09_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jpuptf
title: 2008+01_OCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jqba4z
title: 2011+10_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jtashy
title: 2011+11_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jtceqi
title: 2005+04_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jtgmdh
title: 2014+10_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jtpv9g
title: 2008+10_SUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/ju3f47
title: 1999+08_DUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jubxwa
title: 1999+06_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/juh8ax
title: 2005+05_DUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jupnw2
title: 1998+07_SSOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/juuvr6
title: 2014+08_DUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jvlmd5
title: 2009+02_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jvoud2
title: 2014+10_OCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jvtwpy
title: 1999+12_DUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jvzyts
title: 2004+10_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jw8rh2
title: 2014+05_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jwabiy
title: 2007+02_BCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jwgc1f
title: 2007+05_BCOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jwjymh
title: 2010+02_DUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jwoaom
title: 2011+01_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jwq9hh
title: 2012+01_DUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jwqecx
title: 1997+05_BCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jwz8wn
title: 2002+03_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jx2l6w
title: 2011+01_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/jxydhr
title: 2007+10_DUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jyo6h7
title: 2006+08_DUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jzk3tp
title: 2011+02_SUOUT_iatp50_3M.nc
DOI: 10.25346/s6/cxo9pd/jzr958
title: 2013+04_DUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/k0m6fy
title: 1997+08_DUOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/k0ykxb
title: 2001+02_SSOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/k18cvr
title: 2011+01_OCOUT_iatp50_3M.txt
DOI: 10.25346/s6/cxo9pd/k2knsu
title: 2008+09_SSOUT_iatp50_3M.txt