cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kw9fk4twrw.1
title: Data for: Effect of Zn Content and Aging Temperature on the In-vitro Properties of Heat-Treated and Ca/P Ceramic-Coated Mg-0.5%Ca-x%Zn Alloys

description: This is the collected raw data used to conclude the findings of this research work.
DOI: 10.18112/openneuro.ds001907.v2.0.3
title: Udall Pilot (ANT)
DOI: 10.7910/dvn/yriifd/esynmo
title: EcoHouse v. PineTreeHouse (Electric & Gas).tab

description: This document includes the raw data relating to electricity and natural gas consumption at both 1128 East (Pine Tree House) and 1130 East (EcoHouse), as well as the utility costs, and the ratio of consumption between the two houses.
DOI: 10.7910/dvn/tjgbge/rtq1yz
title: Results from Regressions (2001-2009).doc

description: This document shows the regressions that were done to estimate electricity use (from 2001-2009) attributable to air conditioning, and the conclusions that were made from the regressions.
DOI: 10.7910/dvn/yriifd/5hprhj
title: The Impact of EcoHouse- Interpreting the Data.doc

description: This document explains each of the studied variables.
DOI: 10.7910/dvn/yriifd/gdwieo
title: The Impact of EcoHouse- 2004-2009.doc

description: This document presents the conclusions made given the data, and includes relevant graphs.
DOI: 10.7910/dvn/tjgbge/sluoew
title: Interpreting the Data.doc

description: This document provides an explanation for each of the variables measured in the study.
DOI: 10.7910/dvn/tjgbge/h26syg
title: Historic Electric Consumption 2.0.tab

description: This document includes data about both Grinnell College electricity consumption and local measurements of Cooling Degree Days.
DOI: 10.18112/openneuro.ds001924.v1.0.0
title: The physiological effects of non-invasive brain stimulation fundamentally differ across the human cortex
DOI: 10.7910/dvn/2wifdk/tm9fby
title: CCES_Questions_by_Year.pdf
DOI: 10.7910/dvn/2wifdk/vehitu
title: CCES_Past_Question_Listing.pdf
DOI: 10.7910/dvn/ldxpuu/ce97ho
title: clustered(example_code).R
DOI: 10.7910/dvn/ldxpuu/cjwgvd
title: Harden (2011).zip

description: Appendix, Full Results, and Code in one folder.
DOI: 10.7910/dvn/ldxpuu/dvzixb
title: clustered(full_results).xlsx
DOI: 10.7910/dvn/ldxpuu/huzwqv
title: clustered(appendix).pdf
DOI: 10.25810/8196-e820.13
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - April 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/jck1-hf50.13
title: United States Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - April 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.6092/unibo/amsacta/6166
title: CATCH-EyoU. Processes in Youth’s Construction of Active EU Citizenship. Italian Longitudinal (Wave 1 and 2) Questionnaires. EXTRACT. Cross-border friendships and European identity

description: This dataset contains the underlying data of the following article published in the journal European Union Politics:
Prati, G., Cicognani, E., Mazzoni D. (in press) Cross-border friendships and collective European identity: A longitudinal study. European Union Politics.
The dataset consists of longitudinal quantitative data collected in Italy within Work Package 7 of the research project CATCH EyoU (Constructing AcTive CitizensHip with European YOUth: Policies, Practices, Challenges and Solutions). The sample consists of 1792 Italian adolescents and young adults between 15 and 30 years old. They participated in the study on a voluntary basis and filled paper and online questionnaires, after receiving an invitation from the researchers and a presentations of the aims of the study. The data was used in the analysis of the relationship between corss-border friendships and collective European identity. In particular, the following variables are included: age, age group (adolescent vs. young adults), gender, parents’ education, income, cross-border friendships, trust in the EU, Identification as European, participation at EU level, political beliefs about European Union, attitudes toward European Union, participants’ intentions to vote at the next EU parliamentary elections, political alienation.
This data is made available for open access in compliance with H2020 Program regulation, following the guidelines stipulated by the Data Management Plan adopted by the CATCH-EyoU research project.
DOI: 10.6073/pasta/1bca7715ba66d82f7fefddb7bc4465b9
title: Climate data for Green Lake 4 data loggers (CR10-CR1000), 1997 - 2019.

description: Climatological data were collected from a Niwot Ridge climate station (GL4) throughout the year using a Campbell Instruments CR10 data logger (1997-2013), a CR1000 data logger (2013-2017), and a CR850 data logger (2017-2019). Maximum and minimum values are recorded instantaneously, with the sampling interval being 10 seconds. Daily averages and totals were calculated from 8,640 individual measurements. This instrument was programmed to generate both hourly and daily output.
DOI: 10.6073/pasta/94819fd00968af7ab671800888b87810
title: Carbon flux from aquatic ecosystems of the Arctic Coastal Plain along the Beaufort Sea, Alaska, 2010-2018

description: Multiple aquatic ecosystems (pond, lake, river, lagoon, ocean) on the
  Arctic Coastal Plain (ACP) near Utqiaġvik, AK were visited to
  determine their relative contribution to landscape-level atmospheric
  CO2 flux and how this may have changed over time. pCO2 (partial
  pressure of carbon dioxide) was monitored in late summer (late July to
  mid-August) over a period of four years (2013, 2015, 2017, 2018) from
  open water areas and is related to habitat type, dissolved organic
  carbon (DOC) and environmental factors (temperature, radiation,
  rainfall). Data include both daily averages from most sites, as well
  as spatial representation of pCO2 in Elson Lagoon and diel cycles of
  pCO2 from a tundra pond. Pond NEP (net ecosystem production) is
  estimated by free water metabolism and presented as daily estimates
  over a four summer period.
DOI: 10.7910/dvn/htyfxg/mub99g
title: IDA_OECD_disbursements18.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/uyoolf
title: dhs_vacc.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/wbfpks
title: 4 1000cutoff.do

description: :unav
DOI: 10.25810/c862-0e81.13
title: US Television Coverage of Climate Change or Global Warming, 2004-2019 - April 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.7910/dvn/htyfxg/0phve2
title: 4 firstdose.do

description: :unav
DOI: 10.7910/dvn/htyfxg/59gwv4
title: NHA indicators_160523.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/jiicmm
title: who_imr.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/js4z1s
title: Gavi_disbursements18.xls

description: :unav
DOI: 10.7910/dvn/htyfxg/mlo5sy
title: gavi-appendix.bbl

description: :unav
DOI: 10.7910/dvn/htyfxg/ybmftr
title: JDE resubmission 20190415.aux

description: :unav
DOI: 10.7910/dvn/htyfxg/35bdva
title: jrf_ifindicator_05.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/eytve8
title: GNI2009clean.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/nbcy1t
title: WPP2017.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/uwqk1l
title: 4 switchers.do

description: :unav
DOI: 10.7910/dvn/htyfxg/vxhrjj
title: GNI1998clean.tab

description: :unav
DOI: 10.25810/4c3b-b819.13
title: World Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - April 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/k55w-7a04.13
title: World Radio Coverage of Climate Change or Global Warming, 2004-2019 - April 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.7910/dvn/htyfxg/0w4chi
title: 4 1000cutoff.do

description: :unav
DOI: 10.7910/dvn/htyfxg/14dtpy
title: who_imr.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/ifkmcy
title: dhs_vacc.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/tflicm
title: NHA indicators_160523.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/ut40zu
title: Gavi_disbursements18.xls

description: :unav
DOI: 10.7910/dvn/htyfxg/zv58gb
title: IDA_OECD_disbursements18.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/0uzh45
title: WPP2017.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/ba6ple
title: 4 firstdose.do

description: :unav
DOI: 10.7910/dvn/htyfxg/r8ztlt
title: GNI1998clean.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/tllmjg
title: gavi-appendix.bbl

description: :unav
DOI: 10.7910/dvn/htyfxg/uwgmim
title: JDE resubmission 20190415.aux

description: :unav
DOI: 10.7910/dvn/htyfxg/yh7kl2
title: 4 switchers.do

description: :unav
DOI: 10.7910/dvn/htyfxg/za9be5
title: jrf_ifindicator_05.tab

description: :unav
DOI: 10.7910/dvn/oomed8/3xdniv
title: D_Combined_2.csv

description: Experiment results for deliberative and info-packet participants for Chapter 2 of Chris Celaya's dissertation
DOI: 10.7910/dvn/oomed8/cdr5py
title: Deliberation_and_Packet.do

description: STATA file for deliberation and info-packet analysis
DOI: 10.7910/dvn/oomed8/ivwr0y
title: Discussion_Cleaned_8.csv

description: Experiment results for deliberative and Q&A participants for Chapter 2 of Chris Celaya's dissertation
DOI: 10.7910/dvn/oomed8/kfd6ed
title: Q_Combined_2.csv

description: Experiment results for info-packet and Q&A participants for Chapter 2 of Chris Celaya's dissertation
DOI: 10.7910/dvn/oomed8/ntvgjf
title: Questions_and_Packet.do

description: STATA file for Q&A and info-packet analysis
DOI: 10.7910/dvn/oomed8/rbcrbp
title: Deliberation_and_Questions.do

description: STATA file for deliberation and Q&A analysis
DOI: 10.7910/dvn/htyfxg/56k1kl
title: JDE resubmission 20190415.tex

description: :unav
DOI: 10.7910/dvn/htyfxg/6htmlw
title: underweight_who18.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/gcxoos
title: dpt_coverage18.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/i2jybc
title: headers edit.tex

description: :unav
DOI: 10.7910/dvn/htyfxg/vjxzi5
title: 4 nonincome eligibility.do

description: :unav
DOI: 10.7910/dvn/htyfxg/zbfiy8
title: GNI2009clean.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/zjsvx4
title: README.txt

description: :unav
DOI: 10.7910/dvn/htyfxg/3ujnmj
title: 4 counterfactuals.do

description: :unav
DOI: 10.7910/dvn/htyfxg/ab1sfu
title: underweight_dhs18.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/hnj7oo
title: 0 Gavi RDD master file.do

description: :unav
DOI: 10.7910/dvn/htyfxg/kzbjcd
title: 1 create and clean.do

description: :unav
DOI: 10.7910/dvn/htyfxg/lho1a2
title: 4 placebo.do

description: :unav
DOI: 10.7910/dvn/htyfxg/xuszw2
title: year_vaccine_introduction2.xls

description: :unav
DOI: 10.7910/dvn/htyfxg/yuvt6g
title: 3 regressions.do

description: :unav
DOI: 10.7910/dvn/htyfxg/ctp7tr
title: coverage estimates.xls

description: :unav
DOI: 10.7910/dvn/htyfxg/mmvajn
title: 3 other outcomes.do

description: :unav
DOI: 10.7910/dvn/htyfxg/msitxd
title: 4 kiribati.do

description: :unav
DOI: 10.7910/dvn/htyfxg/peywk1
title: weightforheight_who18.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/tmz0kp
title: dhs_vacc_data.csv

description: :unav
DOI: 10.7910/dvn/htyfxg/ylf4nh
title: JDE resubmission 20190415.bbl

description: :unav
DOI: 10.7910/dvn/htyfxg/zpq6sm
title: jrf_ifindicator_03.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/7dt7gq
title: DCdensity.ado

description: :unav
DOI: 10.7910/dvn/htyfxg/a6z9ud
title: 2 labels.do

description: :unav
DOI: 10.7910/dvn/htyfxg/ckh6pj
title: headers.tex

description: :unav
DOI: 10.7910/dvn/htyfxg/k8xf68
title: GAVI resubmission Appendix 20190415.tex

description: :unav
DOI: 10.7910/dvn/htyfxg/wbbrx4
title: jrf_ifindicator_08.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/wwnamp
title: jrf_ifindicator_04.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/1w1dbu
title: unicef_doses.xlsx

description: :unav
DOI: 10.7910/dvn/htyfxg/he6aor
title: IDA OECD disbursements.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/ps1ydu
title: 4 mccrary.do

description: :unav
DOI: 10.7910/dvn/htyfxg/rlm9ta
title: GNI2010clean.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/uudlmc
title: OGHIST2.xls

description: :unav
DOI: 10.7910/dvn/htyfxg/vaf3ir
title: GNI2003clean.csv

description: :unav
DOI: 10.7910/dvn/htyfxg/4xi3pq
title: switchers_m.tex

description: :unav
DOI: 10.7910/dvn/htyfxg/csasho
title: placehold.txt
DOI: 10.7910/dvn/htyfxg/llpnph
title: jrf_ifindicator_07.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/pxhdfj
title: codes_masterlist.tab

description: :unav
DOI: 10.7910/dvn/htyfxg/tjup6l
title: 3 RDD graphs.do

description: :unav
DOI: 10.7910/dvn/htyfxg/xxppp4
title: 3 sum stats.do

description: :unav
DOI: 10.7910/dvn/htyfxg/zl4wsr
title: jrf_ifindicator_06.tab

description: :unav
DOI: 10.7910/dvn/b6ojkg/1luolv
title: data.txt

description: original format
DOI: 10.7910/dvn/b6ojkg/7wncih
title: readme.txt
DOI: 10.7910/dvn/kfvj4o/1lmecm
title: Conjunctivitis_code.R

description: :unav
DOI: 10.7910/dvn/kfvj4o/howiej
title: Respiratory_extension_code.R

description: :unav
DOI: 10.7910/dvn/kfvj4o/pslzxb
title: data_weekly_all.tab

description: :unav
DOI: 10.7910/dvn/kfvj4o/txwspg
title: fireHealthSingapore_EngelbergWagner.pdf

description: :unav
DOI: 10.7910/dvn/mguyvo/0tchqo
title: hotspots.tab

description: :unav
DOI: 10.7910/dvn/mguyvo/500qfp
title: Final_Hangartner_Replication_Daponte-Smith_Mohamed_Rasband.pdf

description: :unav
DOI: 10.7910/dvn/mguyvo/at8vdc
title: arrivals.tab

description: :unav
DOI: 10.7910/dvn/mguyvo/rb9i9y
title: balance_table.R

description: :unav
DOI: 10.7910/dvn/mguyvo/sdbbeo
title: extension_IV.R

description: :unav
DOI: 10.7910/dvn/mguyvo/wxdnhz
title: survey_data.tab

description: :unav
DOI: 10.7910/dvn/mguyvo/8gk5il
title: gadm36_GRC_3_sp.rds

description: :unav
DOI: 10.7910/dvn/mguyvo/glbuej
title: GRC_adm3.rds

description: :unav
DOI: 10.7910/dvn/mguyvo/idtk4e
title: TUR_adm0.rds

description: :unav
DOI: 10.7910/dvn/mguyvo/jx2tcv
title: extension_matching.R

description: :unav
DOI: 10.7910/dvn/mguyvo/lrqar0
title: islands.tab

description: :unav
DOI: 10.7910/dvn/mguyvo/vjobiv
title: map_replication.R

description: Replicates maps in original paper
DOI: 10.7910/dvn/mguyvo/wfnkup
title: replication.R

description: Replicates tables and figures in original paper
DOI: 10.18430/m36osx
title: X-ray diffraction data for the crystal structure of uncharacterized protein ECL_02694 (6OSX)
DOI: 10.18430/m36ote
title: X-ray diffraction data for the crystal Structure of Seryl-tRNA synthetase (SerRS) from Cryptosporidium parvum complexed with L-Serylsulfamoyl Adenosine (6OTE)
DOI: 10.18430/m36otj
title: X-ray diffraction data for the crystal Structure of Tyrosyl-tRNA synthetase from Neisseria gonorrhoeae with bound L-Tyr (6OTJ)
DOI: 10.7910/dvn/nckety/kbgfga
title: Carsey and Harden 2010 (appendix).pdf
DOI: 10.21227/gvmf-yp68
title: Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

description: The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications among them are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations to reflect the challenges in a natural environment and date fruit orchards. These variations in images include different angels and scales, different daylight conditions having poor illumination images, and date fruits covered by bags. The dataset was fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions.
DOI: 10.25810/jgyv-zg57.13
title: New Zealand Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - April 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/37f9-1j65.13
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - April 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.5281/zenodo.2848944
title: Proteomic data sets after selecting mitochondrial proteins from the scaffold software for Ingenuity Pathway analysis (IPA Qiagen)

description: List of fold change proteomic data sets of dFCM- 39 vs. 12Day  and105 vs. 12Day, cFCM- 40 vs. 12Day  and115 vs. 12Day , mouse heart 90 vs. 1 day after selecting mitochondrial proteins from the scaffold software for Ingenuity Pathway Analysis (IPA Qiagen)
DOI: 10.5281/zenodo.2848945
title: Proteomic data sets after selecting mitochondrial proteins from the scaffold software for Ingenuity Pathway analysis (IPA Qiagen)

description: List of fold change proteomic data sets of dFCM- 39 vs. 12Day  and105 vs. 12Day, cFCM- 40 vs. 12Day  and115 vs. 12Day , mouse heart 90 vs. 1 day after selecting mitochondrial proteins from the scaffold software for Ingenuity Pathway Analysis (IPA Qiagen)
DOI: 10.7910/dvn/7zeynx/exkvis
title: cseas_postcards.tab

description: :unav
DOI: 10.6085/aa/sh15xx_015ctdx012r00_20150915.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx012r00_20150915.41.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx012r00_20150915.42.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx012r00_20150915.43.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx012r00_20150915.44.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx012r00_20150915.45.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx012r00_20150915.50.1
title: PISCO: Physical Oceanography: vessel-based CTD cast data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes vessel-based CTD cast data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a Seabird Electronics SBE 25 SEACAT beginning 2015-09-15. The instrument descended to an overall water depth of 12 meters. The instrument was programmed with a sampling interval of 0.125 seconds.
DOI: 10.6085/aa/sh15xx_015ctdx014r00_20150720.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx014r00_20150720.41.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx014r00_20150720.42.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx014r00_20150720.43.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx014r00_20150720.44.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx014r00_20150720.45.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx014r00_20150720.50.1
title: PISCO: Physical Oceanography: vessel-based CTD cast data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes vessel-based CTD cast data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a Seabird Electronics SBE 25 SEACAT beginning 2015-07-20. The instrument descended to an overall water depth of 15 meters. The instrument was programmed with a sampling interval of 0.125 seconds.
DOI: 10.6085/aa/sh15xx_015ctdx015r00_20150622.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx015r00_20150622.41.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx015r00_20150622.42.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx015r00_20150622.43.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx015r00_20150622.44.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx015r00_20150622.45.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx015r00_20150622.50.1
title: PISCO: Physical Oceanography: vessel-based CTD cast data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes vessel-based CTD cast data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a Seabird Electronics SBE 25 SEACAT beginning 2015-06-22. The instrument descended to an overall water depth of 15 meters. The instrument was programmed with a sampling interval of 0.125 seconds.
DOI: 10.6085/aa/sh15xx_015ctdx016r00_20150420.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx016r00_20150420.41.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx016r00_20150420.42.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx016r00_20150420.43.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx016r00_20150420.44.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015ctdx016r00_20150420.45.1
title: (:unkn)