cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gpvnmg
title: Occurrence Download

description: A dataset containing 1710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Syrian Arab Republic, Tunisia, Türkiye, Armenia, Azerbaijan, Georgia, Russian Federation, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, Bahrain, Iran (Islamic Republic of), Iraq, Jordan, Kuwait, Oman, Palestine, State of, Israel, Saudi Arabia, Qatar, United Arab Emirates, Libya, Malta, Monaco, Montenegro, Morocco, Italy, Spain, Lebanon, Slovenia, France, Cyprus, Algeria, Gibraltar, Greece, Albania, Croatia, Yemen)",
 "TaxonKey is Lathyrus tingitanus L."
 ]
}

 The dataset includes 1710 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200036-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8964re
title: Occurrence Download

description: A dataset containing 21912695 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is MEX"
 ]
}

 The dataset includes 21912695 records from 2374 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100263-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/3pkaty/b0nqdc
title: Subj7_sing_PreStre_potapa_3.wav
DOI: 10.18710/3pkaty/cenblg
title: Subj9_spc_PreStre_pitapa_1.wav
DOI: 10.18710/3pkaty/lbqzi3
title: Subj9_sing_PreStre_petapa_1.wav
DOI: 10.18710/3pkaty/touioa
title: Subj7_sing_Stre_pehta_2.wav
DOI: 10.18710/dfqsrs/chdqna
title: hmd_data_2009.tab
DOI: 10.18710/h3nzsx/luk33q
title: hmd_data_2003.tab
DOI: 10.18710/hdupx3/lgjkjw
title: 01readme.txt
DOI: 10.18710/kshah5/inbpsr
title: hmd_data_2007.tab
DOI: 10.18710/mteqyp/coavxh
title: Kjeldeoversyn_nynorsk.ods

description: See ReadMe file.
DOI: 10.18710/mteqyp/wsduwz
title: Bokmalsmateriale_m+n.txt

description: See ReadMe file.
DOI: 10.18710/qy9wnb
title: Hydrographic data from Northern Norwegian fjords - 1993

description: The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).
DOI: 10.18710/0ngbmi
title: Hydrographic data from Northern Norwegian fjords - 2001

description: The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).
description: Hydrographic data from Northern Norwegian fjords
DOI: 10.18710/20vuxr/90xark
title: hmd_stations_2011.tab
DOI: 10.18710/3pkaty/1gilbs
title: Subj7_sing_PreStre_putapa_1.wav
DOI: 10.18710/3pkaty/5zjkyd
title: Subj9_sing_Stre_pita_3.wav
DOI: 10.18710/3pkaty/fvpqsa
title: Subj7_sing_PreStre_pitapa_2.wav
DOI: 10.18710/3pkaty/llunrz
title: Subj10_spc_PreStre_potapa_2.wav
DOI: 10.18710/3pkaty/lqb0iv
title: Subj7_sing_PreStre_putapa_2.wav
DOI: 10.18710/3pkaty/whvkud
title: Subj7_sing_PreStre_pitapa_1.wav
DOI: 10.18710/9uyjnb/7ifxkb
title: :unav

description: :unav
DOI: 10.18710/budbmi/ndvrfa
title: 01_ReadMeFile.txt
DOI: 10.18710/bydju6/9nhxyy
title: hmd_data_1995.tab
DOI: 10.18710/c8fxid/4tnkpg
title: PA11_D_a_4_Cooke.zip
DOI: 10.18710/c8fxid/dtstdi
title: PA11_O_a_2_NekrologAmundsen.zip
DOI: 10.18710/c8fxid/islhhy
title: PA11_D_c_7_SatRew.zip
DOI: 10.18710/c8fxid/yhkmfu
title: PA11_D_c_9_Times.zip
DOI: 10.18710/ct6xyn
title: Hydrographic data from Northern Norwegian fjords - 2008

description: The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).
description: Hydrographic data from Northern Norwegian fjords
DOI: 10.18710/dg75yc
title: Replication data for: Big data in Russian linguistics? Another look at paucal constructions

description: This post contains a database of Russian numeral constructions from the RuTenTen corpus (https://www.sketchengine.co.uk/rutenten-russian-corpus/). The constructions are of the following type: paucal numeral (2, 3 or 4) followed by an adjective and a feminine noun.
description: &lt;p&gt;
Abstract:
&lt;/p&gt;
&lt;p&gt;
With the advent of large web-based corpora, Russian linguistics steps into the era of “big data”. But how useful are large datasets in our field? What are the advantages? Which problems arise? The present study seeks to shed light on these questions based on an investigation of the Russian paucal construction in the RuTenTen corpus, a web-based corpus with more than ten billion words. The focus is on the choice between adjectives in the nominative (dve/tri/četyre starye knigi) and genitive (dve/tri/četyre staryx knigi) in paucal constructions with the numerals dve, tri or četyre and a feminine noun. Three generalizations emerge. First, the large RuTenTen dataset enables us to identify predictors that could not be explored in smaller corpora. In particular, it is shown that predicates, modifiers, prepositions and word-order affect the case of the adjective. Second, we identify situations where the RuTenTen data cannot be straightforwardly reconciled with findings from earlier studies or there appear to be discrepancies between different statistical models. In such cases, further research is called for. The effect of the numeral (dve, tri vs. četyre) and verbal government are relevant examples. Third, it is shown that adjectives in the nominative have more easily learnable predictors that cover larger classes of examples and show clearer preferences for the relevant case. It is therefore suggested that nominative adjectives have the potential to outcompete adjectives in the genitive over time. Although these three generalizations are valuable additions to our knowledge of Russian paucal constructions, three problems arise. Large internet-based corpora like the RuTenTen corpus (a) are not balanced, (b) involve a certain amount of “noise”, and (c) do not provide metadata. As a consequence of this, it is argued, it may be wise to exercise some caution with regard to conclusions based on “big data”.
&lt;/p&gt;
DOI: 10.18710/fd6bvn/ukohbz
title: 01readme.txt
DOI: 10.18710/fxhqyn/3x8hth
title: 01readme.txt
DOI: 10.18710/g6indc
title: Hydrographic data from Northern Norwegian fjords - 1994

description: The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).
description: Hydrographic data from Northern Norwegian fjords
DOI: 10.18710/g6indc/xjrw2q
title: hmd_data_1994.tab
DOI: 10.18710/lyoy9a
title: Hydrographic data from Northern Norwegian fjords - 1990

description: The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).
DOI: 10.18710/mteqyp/qknk9j
title: Utgangsmateriale_nynorsk_m+n.ods

description: See ReadMe file.
DOI: 10.18710/pfjwsn/3t3lmq
title: 01readme.txt
DOI: 10.18710/qy9wnb/b7lbgj
title: hmd_stations_1993.tab
DOI: 10.18710/ryfbfs
title: Hydrographic data from Northern Norwegian fjords - 1996

description: The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).
DOI: 10.18710/ryfbfs/jkrwc5
title: 01readme.txt
DOI: 10.18710/xohnt7/pwgmzo
title: hmd_data_1998.tab
DOI: 10.18710/0ngbmi/ewrbcj
title: hmd_data_2001.tab
DOI: 10.18710/3pkaty/0kkc8x
title: Subj10_spc_Stre_pota_2.wav
DOI: 10.18710/3pkaty/1pfs6f
title: Subj7_sing_Stre_puta_1.wav
DOI: 10.18710/3pkaty/27vjtz
title: Subj9_sing_PreStre_pitapa_3.wav
DOI: 10.18710/3pkaty/58hrzl
title: Subj7_sing_Stre_pehta_1.wav
DOI: 10.18710/3pkaty/amokdi
title: Subj10_sing_PreStre_pitapa_2.wav
DOI: 10.18710/3pkaty/b4ze4l
title: Subj10_sing_PreStre_pitapa_1.wav
DOI: 10.18710/3pkaty/cadnnm
title: Subj9_sing_Stre_puta_3.wav
DOI: 10.18710/3pkaty/dhuszq
title: Subj9_sing_PreStre_potapa_2.wav
DOI: 10.18710/3pkaty/eilyee
title: Subj7_sing_PostStre_tapu_1.wav
DOI: 10.18710/3pkaty/gwhu8b
title: Subj7_sing_Stre_pota_1.wav
DOI: 10.18710/3pkaty/joo0b8
title: Subj10_spc_Stre_pata_1.wav
DOI: 10.18710/3pkaty/lnfntv
title: Subj9_sing_Stre_pita_2.wav
DOI: 10.18710/3pkaty/mwvqyp
title: Subj7_spc_PostStre_tapa_1.wav
DOI: 10.18710/3pkaty/ux8b17
title: Subj7_sing_PreStre_potapa_2.wav
DOI: 10.18710/3pkaty/x02kbv
title: Subj10_spc_Stre_pita_3.wav
DOI: 10.18710/3pkaty/zef6co
title: Subj6_spc_PreStre_pitapa_3.wav
DOI: 10.18710/9ir4ml/6ec0i7
title: hmd_stations_2005.tab
DOI: 10.18710/9ir4ml/9tvete
title: 01readme.txt
DOI: 10.18710/bydju6/7oj9qx
title: 01readme.txt
DOI: 10.18710/bydju6/cnmv1n
title: hmd_stations_1995.tab
DOI: 10.18710/c8fxid/teck4f
title: PA11_D_c_4_FredSto.zip
DOI: 10.18710/fxhqyn
title: Hydrographic data from Northern Norwegian fjords - 2004

description: The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical oceanographical data during shorter periods (1–2 years) in Tromsø and north Norway goes back to ca. 1872 when Tromsø Museum was founded. The first decades sampling was performed with hired vessels, and retrieval of hydrophysical data was connected to sampling of marine organisms. From ca. 1975 it was taken over by the University of Tromsø and from 1979 it was up running again with a new revised network. Up through the years much effort has also been put into data quality control and instrumentation (CTD) mantenance and calibration. From the early 1990s, the BFE faculty (Fakultet for biovitenskap, fiskeri og økonomi) that has had the responsibility for the data sampling organized as Havmiljødata (HMD).
description: Hydrographic data from Northern Norwegian fjords
DOI: 10.18710/fxhqyn/iwbjir
title: hmd_stations_2004.tab
DOI: 10.18710/hdpqgy
title: Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale

description: Dataset and scripts used for the article entitled "Efficient sampling for ecosystem service supply assessment at a landscape scale", published in the Ecosystems and People journal
description: Abstract:
Decision makers and stakeholders need high-quality data to manage ecosystem services (ES) efficiently. Landscape-level data on ES that are of sufficient quality to identify spatial tradeoffs, co-occurrence and hotspots of ES are costly to collect, and it is therefore important to 10 increase the efficiency of sampling of primary data. We demonstrate how ES could be assessed more efficiently through image-based point intercept method and determine the tradeoff between the number of sample points (pins) used per image and the robustness of the measurements. We performed a permutation study to assess the reliability implications of reducing the number of pins per image. We present a flexible approach to optimize land15 scape-level assessments of ES that maximizes the information obtained from 1 m2 digital images. Our results show that 30 pins are sufficient to measure ecosystem service indicators with a crown cover higher than 5% for landscape scale assessments. Reducing the number of pins from 100 to 30 reduces the processing time up to a 50% allowing to increase the number of sampled plots, resulting in more management-relevant ecosystem service maps. 20 The three criteria presented here provide a flexible approach for optimal design of landscapelevel assessments of ES.
DOI: 10.18710/jezxyf/dp1rtr
title: hmd_stations_2006.tab
DOI: 10.18710/lyoy9a/fgzsv6
title: hmd_data_1990.tab
DOI: 10.18710/mteqyp/iasug8
title: Utgangsmateriale_bokmal_m+n.ods

description: See ReadMe file.
DOI: 10.18710/puxwxl
title: Replication Data for: A corpus approach to the history of Russian po delimitatives

description: This paper gives an example of how enriched diachronic treebank data can shed new light on an old and conflicted topic, even when that topic is morphological and semantic in nature rather than syntactic. The topic is the rise of the Russian po delimitatives, a change seen as crucial in most accounts of the history of Russian aspect, since it represents a major step in generalising the derivational aspect system. Earlier accounts concur that the po delimitatives spread fairly recently, too recently for the development to be connected to the loss of the aorist tense, which also had delimitative readings with atelic verbs. Using treebank data from the Tromsø Old Russian and OCS Treebank, enriched with tags for derivational morphology and semantics, I show that the po delimitatives were not marginal even in the earliest Slavic sources, neither in terms of frequency nor semantics, and that they first complemented and then competed with the delimitative aorists. It can thus be claimed that the exotic po delimitatives grew organically out of the old Indo-European inflectional aspect system. The data set includes the data files and R scripts necessary to replicate the study.
DOI: 10.18710/ryfbfs/9ebdql
title: hmd_data_1996.tab
DOI: 10.18710/sm5da1/a5jnbt
title: 01_ReadMeFile.txt
DOI: 10.18710/ufc2jo
title: TGO Ramfjordmoen Ionosonde Data February 1990

description: &lt;p&gt;About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1990.&lt;/p&gt;&lt;p&gt;About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.&lt;/p&gt;
description: TGO Ionosonde Data
DOI: 10.18710/xohnt7/lpi8jc
title: 01readme.txt
DOI: 10.18710/xpqwqh/sczikn
title: 01_ReadMeFile.txt
DOI: 10.18710/zlqizz/96yvym
title: 01_ReadMeFile.txt
DOI: 10.18710/0anf8u/9bes73
title: TGO_Ramfjordmoen_ionosonde_data_1986-09_PNG.zip
DOI: 10.18710/20vuxr/irj2bo
title: 01readme.txt
DOI: 10.18710/3pkaty/4gkgwc
title: Subj10_spc_PostStre_tapa_1.wav
DOI: 10.18710/3pkaty/6p9vks
title: Subj10_sing_Stre_peta_2.wav
DOI: 10.18710/3pkaty/bhpkf2
title: Subj10_sing_PostStre_tapi_2.wav
DOI: 10.18710/3pkaty/brr0dv
title: Subj7_sing_Stre_pata_2.wav
DOI: 10.18710/3pkaty/cdvxm2
title: Subj10_spc_PostStre_tapa_2.wav
DOI: 10.18710/3pkaty/dgznrw
title: Subj10_sing_Stre_pehta_1.wav
DOI: 10.18710/3pkaty/jn31qm
title: Subj10_spc_Stre_pohta_3.wav
DOI: 10.18710/3pkaty/oqmpet
title: Subj5_spc_PreStre_patapa_2.wav
DOI: 10.18710/3pkaty/umryp7
title: Subj5_spc_PreStre_patapa_1.wav
DOI: 10.18710/3pkaty/v0h7nf
title: Subj10_sing_Stre_pohta_3.wav
DOI: 10.18710/3pkaty/wr4pbo
title: Subj10_spc_PostStre_tapi_3.wav
DOI: 10.18710/3pkaty/yoxt1z
title: Subj5_spc_PreStre_potapa_3.wav
DOI: 10.18710/3pkaty/zpzkxs
title: Subj5_spc_Stre_puta_2.wav
DOI: 10.18710/9uyjnb/ewy43w
title: :unav

description: :unav
DOI: 10.18710/c8fxid/6zrcqo
title: PA11_D_b_5_Stedman.zip
DOI: 10.18710/c8fxid/pgvi7q
title: PA11_D_g_1_TelegramNansen.zip
DOI: 10.18710/c8fxid/w6oboo
title: PA11_D_b_6_Whittaker.zip
DOI: 10.18710/c8fxid/wcsvzn
title: PA11_D_c_5_HeardRic.zip
DOI: 10.18710/ct6xyn/drwdwc
title: hmd_data_2008.tab
DOI: 10.18710/ct6xyn/mqxxty
title: 01readme.txt
DOI: 10.18710/ct6xyn/rkxi4s
title: hmd_stations_2008.tab
DOI: 10.18710/dfqsrs/eabw5j
title: hmd_stations_2009.tab
DOI: 10.18710/dfqsrs/kgqbxx
title: 01readme.txt
DOI: 10.18710/ezpfbu/s0lad7
title: 01readme.txt
DOI: 10.18710/jezxyf/q3zu18
title: hmd_data_2006.tab
DOI: 10.18710/jrruin/ucrnvk
title: :unav

description: :unav
DOI: 10.18710/lhcgyq/tv0evl
title: molecule3_2sm3sm_output_gas.txt

description: Please read README file for description of all the files
DOI: 10.18710/lyoy9a/2n2fyy
title: hmd_stations_1990.tab
DOI: 10.18710/mteqyp/ryz704
title: Utgangsmateriale_bokmal_m+n.txt

description: See ReadMe file.
DOI: 10.18710/pfjwsn/99vbqw
title: hmd_stations_1999.tab
DOI: 10.18710/ppiveo/hnfhjl
title: hmd_stations_2010.tab
DOI: 10.18710/1mmrdp
title: TGO Ramfjordmoen Ionosonde Data February 1985

description: &lt;p&gt;About this dataset: This dataset contains ionograms in PNG format and covers data from February 01-28, 1985.&lt;/p&gt;&lt;p&gt;About the Tromsø Ionosonde (1984-1992): During the period 1984-1992 the Ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Tromsø. The instrument operated at this location prior to 1984, and still operates there (as of 2018); see the related publication for details. The instrument was fully digitized and based on a Hewlett Packard 21MX computer. The combination of a low power transmitter and complementary code transmission made the Tromsø ionosonde equivalent to a conventional ionosonde (at the time) with 20 µs pulses and 16 kW peak power. Routine operation was one ionogram every 20 min with a frequency sweep from 1 MHz to 12 MHz lasting between 2 and 3 min. For the 100 km altitude region the precision of determining the height of a sporadic E layer is ± 3 km. The ionograms were stored on magnetic tape. A noise discrimination routine in the computer program reduced the stored data to less than 10% of the raw data. In this way one 2400' tape held about 1300 ionograms, equivalent to 18 days' data. The tapes were 4-11 years old when they were read, resulting in around 20% data-loss during the process of transferring to other media. Today, storage is on online disk and with offline an archive on a variety of media.&lt;/p&gt;
description: TGO Ionosonde Data
DOI: 10.18710/3pkaty/azscac
title: Subj5_sing_PreStre_petapa_3.wav
DOI: 10.18710/3pkaty/ebude9
title: Subj5_spc_Stre_peta_1.wav
DOI: 10.18710/3pkaty/hksend
title: Subj9_sing_PreStre_putapa_2.wav