cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/ihuvtb/c1bbk0
title: historical_and_rcp85_forcing_F13method.txt

description: Forcing estimates for the historical + RCP8.5 experiments based on the F13 method
DOI: 10.18710/iniwrv/fapikb
title: 01_ReadMeFile.txt
DOI: 10.18710/nrafeo/dexyhu
title: TGO_Ramfjordmoen_ionosonde_data_2020-10.SAO.zip
DOI: 10.18710/nrafeo/wogt1r
title: TGO_Ramfjordmoen_ionosonde_data_2020-10.PNG.zip
DOI: 10.18710/ocuat6/4tqpwx
title: 01_ReadMeFile.txt
DOI: 10.18710/ocuat6/onmybz
title: TGO_Ramfjordmoen_ionosonde_data_2020-08.SAO.zip
DOI: 10.18710/q0f8pa/0dc6zm
title: OPX146.stl
DOI: 10.18710/q0f8pa/b9wte4
title: OPX-188.stl
DOI: 10.18710/q0f8pa/ekwd9f
title: Large particles.tab
DOI: 10.18710/q0f8pa/hubpew
title: PLAG-158.stl
DOI: 10.18710/q0f8pa/ks20dw
title: OPX276.stl
DOI: 10.18710/q0f8pa/kt763n
title: OPX17.stl
DOI: 10.18710/q0f8pa/mac44c
title: OPX-191.stl
DOI: 10.18710/q0f8pa/n26ad6
title: PLAG131.stl
DOI: 10.18710/q0f8pa/nh0zwm
title: PLAG-149.stl
DOI: 10.18710/q0f8pa/oat1bq
title: OPX262.stl
DOI: 10.18710/q0f8pa/ovhgcx
title: OPX-132.stl
DOI: 10.18710/q0f8pa/pohhak
title: PLAG-145.stl
DOI: 10.18710/q0f8pa/tbca61
title: OPX206.stl
DOI: 10.18710/q0f8pa/udahq7
title: OPX201.stl
DOI: 10.18710/q0f8pa/vgoaqy
title: OPX110.stl
DOI: 10.18710/q0f8pa/vlknsj
title: PLAG-49.stl
DOI: 10.18710/q4dirk/cgiw7w
title: a_ 51.40_ 0.27-Fyze_all.svg
DOI: 10.18710/ujzfjc/y02dgp
title: TGO_Ramfjordmoen_ionosonde_data_2020-03.PNG.zip
DOI: 10.18710/0wghzm/5xjqhp
title: 20191023_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/gpe8eg
title: 20190531_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/kouvvw
title: 20190330_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/kpqyul
title: 20191230_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/ljv2dx
title: 20190715_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/sdteam
title: 20190210_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/vz5zlg
title: 20190721_NYA_REDOBS_glo.txt
DOI: 10.18710/a1xxqx
title: TGO Ramfjordmoen Ionosonde Data December 2019

description: &lt;p&gt;About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from December 01-31, 2019.&lt;/p&gt;&lt;p&gt;About the Tromsø Ionosonde (1993-present): Since 1980, 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 and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.&lt;/p&gt;
description: TGO Ionosonde Data
DOI: 10.18710/ihuvtb
title: Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response

description: &lt;p&gt;Radiative forcing estimates for CMIP5 models. Two different estimates are provided for each model for the 1%CO2 experiment and the historical and the four RCP experiments RCP2.6, RCP4.5, RCP6.0 and RCP8.5 for the time period 1850 - 2100. Forcing estimates referred to as the F13 method were first published by Forster et al. (2013). The other forcing estimates are based on the new algorithm described in the related paper, which is a further development of the F13 method to also allow for nonconstant feedback parameters. The new method results in stronger forcing estimates for the 21st century scenarios.&lt;/p&gt;

&lt;p&gt;Forster, P. M., Andrews, T., Good, P., Gregory, J. M., Jackson, L. S., & Zelinka, M. (2013). Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models. Journal of Geophysical Research, 118, 1139–1150. https://doi.org/10.1002/jgrd.50174 &lt;/p&gt;
description: Python
DOI: 10.18710/0uk48s/fmwmud
title: TGO_Ramfjordmoen_ionosonde_data_2020-05.SAO.zip
DOI: 10.18710/0wghzm/0slolb
title: 20190630_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/2gnucm
title: 20191003_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/4w4uxe
title: 20191014_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/5ekuhl
title: 20190126_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/9kueua
title: 20190308_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/ax5zgb
title: 20190827_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/gfqwbx
title: 20190511_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/jhgn0w
title: 20190327_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/mxdzpb
title: 20190625_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/pamddf
title: 20190806_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/phwzdk
title: 20191220_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/safc2y
title: 20190619_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/zu3tx0
title: 20191216_NYA_REDOBS_gal.txt
DOI: 10.18710/2zg3ei/j0btah
title: DataFOODWEB.RData

description: Data to perform FOODWEB analyses
DOI: 10.18710/5xyalw/jcb1jt
title: 01_Database.xlsx
DOI: 10.18710/8poyry/dyxc6n
title: electrojet_inversion_data.tab

description: Data used in electrojet inversion
DOI: 10.18710/9baxwn/7cl7u3
title: 00-ReadMe-spa-gender-bilinguals.txt
DOI: 10.18710/9baxwn/mzd2qn
title: spa-gender-bilinguals.txt
DOI: 10.18710/czrknz/5agq5p
title: 154.pdf
DOI: 10.18710/ed8hsd/4gc9kd
title: PoC.results.TCGA-COAD.R

description: an R script that finds all aberantly methylated regions in a subset of adjacent tissue samples from TCGA-COAD.
DOI: 10.18710/iezrpr/5npxpz
title: TGO_Ramfjordmoen_ionosonde_data_2020-02.SAO.zip
DOI: 10.18710/iniwrv/o4t49p
title: TGO_Ramfjordmoen_ionosonde_data_2019-06.PNG.zip
DOI: 10.18710/kwyih2/rfepp7
title: 01_ReadMeFile.txt
DOI: 10.18710/l41igq/rnv3ld
title: 00_ReadMe.txt
DOI: 10.18710/l60vdi/ujkdfn
title: Assignment_based_measures_assessing_IL_skills.txt

description: This file contains details of the assignment-based measures for assessing source evaluation and source use. These measures were designed to assess students' skills in practice, using authentic assignments, when evaluating and using information sources.
DOI: 10.18710/ohpupu/mhjhgz
title: Ch3Table1.exp.values.R

description: We used a simple formula involving the row and column totals in order to calculate the expected values for all the cells in Table 1. Here it is: expected value = (row sum x column sum) / total sum. The total sum for Table 1 is 382, and all of the row and column totals are listed in Table 1 in Chapter 3. This R script will compute and print out for you all of the expected values for Table 1 in Chapter 3.
DOI: 10.18710/q0f8pa/v30tdq
title: OPX-256.stl
DOI: 10.18710/q0f8pa/vlw5jk
title: OPX-117.stl
DOI: 10.18710/q4dirk/wmnzjv
title: a_ 51.40_ 0.19-Fxye_all.eps
DOI: 10.18710/r0ywne/9cvyiw
title: 01_ReadMeFile.txt
DOI: 10.18710/r0ywne/kvz5bo
title: TGO_Ramfjordmoen_ionosonde_data_2019-07.PNG.zip
DOI: 10.18710/vcwbyv/k4hm8j
title: TGO_Ramfjordmoen_ionosonde_data_2020-06.PNG.zip
DOI: 10.18710/0wghzm/3kfme9
title: 20190415_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/cjhybj
title: 20190425_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/xlhntf
title: 20190719_NYA_REDOBS_glo.txt
DOI: 10.18710/9baxwn
title: Replication Data for: Early and late bilingual processing of Spanish gender, morphology, and gender congruency

description: For this research, a 180-item grammaticality judgment task was administered (with items in random order) to each 53 subjects, and each item was evaluated for accuracy (Acc) and reaction time (RT). This yielded 180 x 53 x 2 = 19,080 data points. The data deposited here gives the means, for each subject, in 48 separate categories. The spreadsheet has 52 columns, including “subject” ID number, the subject’s “group” (1 = NS, 2 = HL, and 3 = L2), and two columns indicating that one subject’s RT data was an outlier, and therefore omitted from the analysis. For both accuracy (measured as a percentage in decimal form: i.e., 0.98 = 98%) and RT (measured in milliseconds), there are 24 data columns each. There is an overall score (for Acc and RT), a column for the score with each of the 7 linguistic variables, a column for each of the 4 combinations of Gender (masculine = Masc, and feminine = Fem) x Morphology (overt = Ov, and non-overt = Nov), and a column for each of the 12 combinations of Condition (C1 = congruent, C2 = incongruent adjective, and C3 = incongruent article) x Morphology x Gender.
description: The present study investigates whether advanced proficiency-matched early and late bilinguals display gender agreement processing quantitatively and qualitatively similar to that of native speakers of Spanish. To address this issue, a timed grammaticality judgment task was used to analyze the effects on accuracy and reaction times of grammatical gender, morphology, and gender congruency of the article and adjective within a noun phrase. Overall results indicated no significant statistical differences between the native speakers and the two bilingual groups. Both early and late bilinguals displayed similar grammatical gender knowledge in their underlying grammars. A detailed examination of the congruency effect, however, revealed that the native speakers, not the bilinguals, displayed sensitivity to gender agreement violations. Moreover, the native speakers and early bilinguals pattern together in accuracy and directionality of gender agreement processing: both were less accurate with incongruent articles than with incongruent adjectives, while the second language learners were equally accurate in both agreement domains. Despite having internalized gender in their implicit grammars, the late bilinguals did not show native-like patterns in real time processing. The present findings suggest that, for high proficiency speakers, there is a distinct advantage for early over late bilinguals in achieving native-like gender lexical access and retrieval. Therefore, age of acquisition, in conjunction with learning context, might be the best predictor of native-like gender agreement processing at advanced and near-native proficiency levels.
description: E-Prime, 2.0.8.32
DOI: 10.18710/adh1sg/j4gudj
title: 01_ReadMeFile.txt
DOI: 10.18710/i7oxtp
title: TGO Ramfjordmoen Ionosonde Data September 2020

description: &lt;p&gt;About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from September 01-30, 2020.&lt;/p&gt;&lt;p&gt;About the Tromsø Ionosonde (1993-present): Since 1980, 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 and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.&lt;/p&gt;
description: TGO Ionosonde Data
DOI: 10.18710/nrafeo
title: TGO Ramfjordmoen Ionosonde Data October 2020

description: &lt;p&gt;About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2020.&lt;/p&gt;&lt;p&gt;About the Tromsø Ionosonde (1993-present): Since 1980, 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 and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.&lt;/p&gt;
description: TGO Ionosonde Data
DOI: 10.18710/nrafeo/kkugxh
title: 01_ReadMeFile.txt
DOI: 10.18710/vcwbyv
title: TGO Ramfjordmoen Ionosonde Data June 2020

description: &lt;p&gt;About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from June 01-30, 2020.&lt;/p&gt;&lt;p&gt;About the Tromsø Ionosonde (1993-present): Since 1980, 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 and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.&lt;/p&gt;
description: TGO Ionosonde Data
DOI: 10.18710/q0f8pa/4xwbui
title: OPX-268.stl
DOI: 10.18710/q0f8pa/camtli
title: OPX114.stl
DOI: 10.18710/q0f8pa/gh4pje
title: PLAG-8.stl
DOI: 10.18710/q0f8pa/suivhw
title: OPX34.stl
DOI: 10.18710/q0f8pa/w74hrs
title: OPX253.stl
DOI: 10.18710/q0f8pa/w8t1hd
title: OPX53.stl
DOI: 10.18710/q0f8pa/wsz4x1
title: OPX93.stl
DOI: 10.18710/q0f8pa/zmj7rp
title: PLAG-23.stl
DOI: 10.18710/q4dirk/sthgql
title: a_ 51.40_ 0.34-Fyze_all.eps
DOI: 10.18710/0wghzm/7gejq1
title: 20190621_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/mrszdo
title: 20190720_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/qagvz0
title: 20190802_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/yzqder
title: 20190501_NYA_REDOBS_gps.txt
DOI: 10.18710/5xyalw/qkycn9
title: 02_Database.csv
DOI: 10.18710/8o9zv0/vtzxs6
title: 00_README_file-1.txt
DOI: 10.18710/abruww/zbddq5
title: 10_1_NINA-1_Case_report_form.pdf

description: Example Case Report from from study kit
DOI: 10.18710/ed8hsd/ghxoqf
title: GRCh37.p13.2019.12.12.Rdata

description: An R data file containing GRanges object with all the gene coordinates from GRCh37 annotation.
DOI: 10.18710/ed8hsd/nrmckb
title: GRCh38.p13.2020.08.10.Rdata

description: An R data file containing GRanges object with all the gene coordinates from GRCh38 annotation.
DOI: 10.18710/k1njbt
title: Replication Data for: (No) competition between deverbal nouns and nominalized infinitives in Spanish

description: This is the data set that serves as the basis for an acceptability judgment experiment on which the following article is based:" (No) competition between deverbal nouns and nominalized infinitives in Spanish".
The data set includes the experimental stimuli, working instructions, all attributes and values for which the data were coded, the R-code and the results of the statistical analysis.
description: This paper explores the distribution of deverbal nouns and nominalized infinitives that are built on transitive verbs and occur in eventive interpretations. The study is empirically oriented and based on an acceptability judgment experiment in which argument realization and interpretational possibilities are manipulated as the independent variables. The results show that deverbal nouns prefer but are not limited to realizing the lower argument of the base, whereas nominalized infinitives are mostly restricted to realizing the higher argument. Furthermore, deverbal nouns turn out to be insensitive with regard to the distinction between episodic and generic event readings, while nominalized infinitives are shown to be specialized on generic interpretations. Deverbal nouns and nominalized infinitives are, thus, mostly neither paradigmatically interchangeable nor complementarily distributed as nominalized infinitives reach the same degree of acceptability as deverbal nouns only under very specific conditions.
description: surveygizmo
description: R, 3.5.2
DOI: 10.18710/k1njbt/vfzsks
title: 01_ReadMe_Spanish_nominalized_infinfitives_and_deverbal_nouns.txt

description: This file is part of the replication data for the study "(No) competition between deverbal nouns and nominalized infinitives in Spanish". The set contains the data that serves as the basis for an acceptability judgment experiment on the distribution of deverbal nouns (DVN) and nominalized infinitives (NI) in present-day Peninsular Spanish.
DOI: 10.18710/q0f8pa/54w6yh
title: OPX-96.stl
DOI: 10.18710/q0f8pa/7ygito
title: OPX-195.stl
DOI: 10.18710/q0f8pa/a94qlu
title: OPX132.stl
DOI: 10.18710/q0f8pa/efbktc
title: OPX-32.stl
DOI: 10.18710/q0f8pa/ifvdbu
title: OPX-11.stl
DOI: 10.18710/q0f8pa/iybssm
title: OPX83.stl
DOI: 10.18710/q0f8pa/koefpt
title: OPX85.stl
DOI: 10.18710/q0f8pa/ngxcho
title: OPX213.stl
DOI: 10.18710/q0f8pa/qk9vb3
title: OPX-150.stl
DOI: 10.18710/q0f8pa/ub3pag
title: Complete object list.tab
DOI: 10.18710/q0f8pa/xpoqsa
title: OPX-84.stl
DOI: 10.18710/q4dirk/1likcl
title: a_ 51.40_ 0.24-Fyze_all.svg
DOI: 10.18710/q4dirk/73uf1v
title: a_ 51.40_ 0.22-Fyze_all.svg
DOI: 10.18710/q4dirk/7omi71
title: a_ 51.40_ 0.19-Fyze_all.eps
DOI: 10.18710/q4dirk/8x38so
title: a_ 51.20_ 0.19-Fxye_all.eps
DOI: 10.18710/q4dirk/907x36
title: a_ 51.40_ 0.29-Fyze_all.svg
DOI: 10.18710/q4dirk/cjjxb7
title: a_ 51.40_ 0.34-Fyze_all.svg
DOI: 10.18710/q4dirk/h52vzt
title: a_ 51.40_ 0.34-Fxye_all.svg
DOI: 10.18710/q4dirk/jdtenk
title: a_ 51.40_ 0.11-Fyze_all.svg
DOI: 10.18710/q4dirk/kblhsp
title: a_ 51.40_ 0.19-Fxye_all.svg
DOI: 10.18710/q4dirk/ph6mlf
title: a_ 51.40_ 0.16-Fyze_all.eps
DOI: 10.18710/q4dirk/vfsiwd
title: a_ 51.00_ 0.34-Fxye_all.svg
DOI: 10.18710/0wghzm/1qzorb
title: 20191220_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/e047xs
title: 20190201_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/hbgjez
title: 20191217_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/jqhyrw
title: 20190730_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/kqbrdy
title: 20191108_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/nixhza
title: 20190310_NYA_REDOBS_gps.txt
DOI: 10.18710/ed8hsd/bx8e2a
title: PoC.results.GSE51032.R

description: an R script to reproduce all findings from GSE51032 data set.
DOI: 10.18710/mtpr9e/ljth1w
title: Dataverse_Nutrients_bacteria_Chl_v3.tab

description: Corrected version of Dataverse_Nutrients_bacteria_Chl_v2 with added nutrient data
DOI: 10.18710/mtpr9e/sm6ts4
title: 16S_TOB1.R1.fastq.gz
DOI: 10.18710/q0f8pa/vvwitz
title: OPX-229.stl
DOI: 10.18710/0wghzm/f0dbe0
title: 20190305_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/hvedmz
title: 20191007_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/xptnys
title: 20190321_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/yi8jkw
title: 20190717_NYA_REDOBS_gal.txt
DOI: 10.18710/ed8hsd/6uwg69
title: results-5-1000.results.tab

description: detailed performance metrics obtained by R/PoC.results.SIMULATED.R.
DOI: 10.18710/ed8hsd/b8wzti
title: tcga.coad.AMRs.Rdata

description: An R data file containing the following objects: 1. tcga.coad.ranges: GRanges object with TCGA-COAD subset of methylation beta values for adjacent and tumour tissue pairs. 2. tcga.coad.ramr.hg19: GRanges object with aberrantly methylated regions found in adjacent TCGA-COAD tissue samples.
DOI: 10.18710/hk395z/2nh5ze
title: 20190606_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/2olxft
title: 20190727_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/42ohoz
title: 20190127_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/6u1mok
title: 20191023_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/ec5xri
title: 20191201_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/gvnp2t
title: 20190529_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/j4jqkr
title: 20190724_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/l1fo6i
title: 20190728_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/mow7l0
title: 20190820_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/ptpdav
title: 20190605_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/tazish
title: 20191226_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/wczawg
title: 20190824_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/xenuwg
title: 20191230_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/xv1dsm
title: 20190717_NYA_REDTEC_gal.txt
DOI: 10.18710/mtpr9e/6ml1tl
title: Dataverse_Nutrients_bacteria_Chl_v3.txt

description: Uptated version of Dataverse_Nutrients_bacteria_Chl_v2 With nutrient data added
DOI: 10.18710/mtpr9e/foaait
title: raw_Data_Nutrients2.pdf

description: Nutrients raw data and calibration
DOI: 10.18710/q0f8pa/bud8sz
title: OPX-149.stl
DOI: 10.18710/q0f8pa/bzylnv
title: OPX-235.stl
DOI: 10.18710/q0f8pa/fcshgl
title: OPX-243.stl
DOI: 10.18710/q0f8pa/gj2hkc
title: OPX-134.stl
DOI: 10.18710/q0f8pa/jiv8rz
title: OPX-270.stl
DOI: 10.18710/q0f8pa/lggmkk
title: OPX-234.stl
DOI: 10.18710/q0f8pa/vzgopu
title: OPX-99.stl
DOI: 10.18710/q4dirk
title: Replication Data for: A new Look at the Electron Diffusion Region in Asymmetric Magnetic Reconnection

description: Particle-in-cell simulation of asymmetric magnetic reconnection with a temperature gradient. The code solves Vlasov-Maxwell system, and outputs electric and magnetic fields, current densities, and densities. Used for manuscript titled ' A new Look at the Electron Diffusion Region in Asymmetric Magnetic Reconnection' by Hesse et al., 2020. Details, simulation setup and design described in manuscript.
description: A new look at the structure of the electron diffusion region in collisionless magnetic reconnection is presented. The research is based on a particle-in-cell simulation of asymmetric magnetic reconnection, which include a temperature gradient across the current layer in addition to density and magnetic field gradient. We find that none of X-point, flow stagnation point, and local current density peak coincide. Current and energy balance analyses around the flow stagnation point and current density peak show consistently that current dissipation is associated with the divergence of nongyrotropic electron pressure. Furthermore, the same pressure terms, when combined with shear-type gradients of the electron flow velocity, also serve to maintain local thermal energy against convective losses. These effects are similar to those found also in symmetric magnetic reconnection. In addition, we find here significant effects related to the convection of current, which we can relate to a generalized diamagnetic drift by the nongyrotropic pressure divergence. Therefore, only part of the pressure force serves to dissipate the current density. However, the prior conclusion that the role of the reconnection electric field is to maintain the current density, which was obtained for a symmetric system, applies here as well. Finally, we discuss related features of electron distribution function in the EDR.
description: Fortran, 90
description: Python, 3
DOI: 10.18710/qc6vnp
title: TGO Ramfjordmoen Ionosonde Data November 2020

description: &lt;p&gt;About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2020.&lt;/p&gt;&lt;p&gt;About the Tromsø Ionosonde (1993-present): Since 1980, 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 and later on, in collaboration with QinetiQ. The Lowell ionosonde replaced the Auroral Observatory unit in 1992; see the related publication for details.&lt;/p&gt;
description: TGO Ionosonde Data
DOI: 10.18710/zlw59w/igpt3g
title: 2_sim_mid_occ.R

description: Script analyzing data simulated from the mid occupancy probability scenario with the spatially hierarchical occupancy model.
DOI: 10.18710/0wghzm/ahgvfp
title: 20190723_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/byfnbz
title: 20191207_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/ovflhe
title: 20191206_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/q8qxwa
title: 20190710_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/quvpic
title: 20190510_NYA_REDOBS_glo.txt
DOI: 10.18710/hk395z/09he1q
title: 20190104_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/1abwsv
title: 20190224_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/2tmfkl
title: 20190830_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/2zatyt
title: 20191231_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/7xk27d
title: 20191113_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/9tbb1t
title: 20190721_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/blutnx
title: 20190120_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/c2pmso
title: 20190924_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/cvzhfh
title: 20190702_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/d6lrge
title: 20190819_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/dtebsm
title: 20190531_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/exb73r
title: 20191105_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/fhcseo
title: 20191025_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/g1vmrp
title: 20190319_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/gzckpb
title: 20190203_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/i5spta
title: 20190126_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/ifp5ph
title: 20191219_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/iokrly
title: 20190217_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/kvmv29
title: 20190323_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/mrqz3o
title: 20190304_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/rdlmen
title: 20190128_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/rohkjo
title: 20191129_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/smwtc7
title: 20190718_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/ue2rvw
title: 20191006_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/wbpzmd
title: 20190921_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/wncei6
title: 20190424_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/xdiipo
title: 20190719_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/xiejqc
title: 20190905_NYA_REDTEC_gps.txt