cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3685274
title: Urdu-Sindhi Speech Emotion Corpus

description: The <strong>Urdu-Sindhi Speech Emotion Corpus</strong> is a dataset collected at Mehran University of Engineering & Technology, Pakistan by a research team led by Dr. Zafi Sherhan Syed and Dr. Sajjad Ali Memon. The dataset consists on 1,435 audio recordings in total for seven types of emotions which include anger, disgust, happiness, neutral, sarcasm, sadness, and surprise in two low-resource languages of South Asia, that is Urdu and Sindhi. Due to ethical restrictions we cannot release audio recordings at the moment and instead release five feature sets from the OpenSmile toolkit. Please note that we will endeavour to compute any features for you locally and send those features back to you. If this interests you, please contact Dr. Zafi Syed at zafisherhan.shah@faculty.muet.edu.pk
DOI: 10.5281/zenodo.3685273
title: Urdu-Sindhi Speech Emotion Corpus

description: The <strong>Urdu-Sindhi Speech Emotion Corpus</strong> is a dataset collected at Mehran University of Engineering & Technology, Pakistan by a research team led by Dr. Zafi Sherhan Syed and Dr. Sajjad Ali Memon. The dataset consists on 1,435 audio recordings in total for seven types of emotions which include anger, disgust, happiness, neutral, sarcasm, sadness, and surprise in two low-resource languages of South Asia, that is Urdu and Sindhi. Due to ethical restrictions we cannot release audio recordings at the moment and instead release five feature sets from the OpenSmile toolkit. Please note that we will endeavour to compute any features for you locally and send those features back to you. If this interests you, please contact Dr. Zafi Syed at zafisherhan.shah@faculty.muet.edu.pk
DOI: 10.5281/zenodo.3714901
title: Sensitivity simulation investigating the influence of subgrid scale orography

description: The main data used to generate the figure of the work entitled ''Alleviation of an Arctic Sea Ice Bias in a Coupled Model through Modifications in the Subgrid-scale Orographic Parameterization'' by Gastineau et al., submitted for publication. If you have question, please contact Guillaume Gastineau : guillaume.gastineau (at) locean-ipsl.upmc.fr
DOI: 10.5281/zenodo.3714902
title: Sensitivity simulation investigating the influence of subgrid scale orography

description: The main data used to generate the figure of the work entitled ''Alleviation of an Arctic Sea Ice Bias in a Coupled Model through Modifications in the Subgrid-scale Orographic Parameterization'' by Gastineau et al., submitted for publication. If you have question, please contact Guillaume Gastineau : guillaume.gastineau (at) locean-ipsl.upmc.fr
DOI: 10.5281/zenodo.3703135
title: Representing Model Uncertainty for Global Atmospheric CO2 Flux Inversions Using ECMWF-IFS-46R1

description: Data used in the work "Representing Model Uncertainty for Global Atmospheric CO2 Flux Inversions Using ECMWF-IFS-46R1" - McNorton et al. (2020) All data generated using version 46R1 of the Integrated Forecast System based at the European Centre for Medium-Range Weather Forecasts, with work funded as part of the European Commission CO2 Human Emissions Project. Data includes global total standard errors for the total column CO2 mixing ratios at 3 hourly intervals for 2015 and both total column and surface transport errors at hourly intervals for January and July 2015, derived from a 50 member ensemble. It is suggested that the data are used by the inverse modelling community to account for transport model errors. Please view the README.txt file for a full description. ###########################<br> ## EXPERIMENTAL SETUP ##<br> ########################### # FLUXES # CHE-EDGAR-2015 EMISSIONS<br> CHE-TIER-2-FIRE/OCEAN<br> ONLINE CHTESSEL BIOGENIC FLUXES (FOR TRANSPORT ERROR THESE USE THE CONTROL MEMBER FLUXES) # MODEL # IFS-CYCLE 46R1<br> RESOLUTION TCO399 (~25km)<br> 137 VERTICAL LEVELS<br> ALL DATA PROVIDED HERE ARE EITHER COLUMN INTEGRATED MIXING RATIO (XCO2) OR SURFACE (LEVEL 137)<br> ALL DATA PROVIDED HERE ARE STANDARD DEVIATION ACROSS 50 ENSEMBLE MEMBERS<br>
description: {"references": ["McNorton et al. (2020) : Representing Model Uncertainty for Global Atmospheric CO2 Flux Inversions Using ECMWF-IFS-46R1"]}
DOI: 10.5281/zenodo.3703136
title: Representing Model Uncertainty for Global Atmospheric CO2 Flux Inversions Using ECMWF-IFS-46R1

description: Data used in the work "Representing Model Uncertainty for Global Atmospheric CO2 Flux Inversions Using ECMWF-IFS-46R1" - McNorton et al. (2020) All data generated using version 46R1 of the Integrated Forecast System based at the European Centre for Medium-Range Weather Forecasts, with work funded as part of the European Commission CO2 Human Emissions Project. Data includes global total standard errors for the total column CO2 mixing ratios at 3 hourly intervals for 2015 and both total column and surface transport errors at hourly intervals for January and July 2015, derived from a 50 member ensemble. It is suggested that the data are used by the inverse modelling community to account for transport model errors. Please view the README.txt file for a full description. ###########################<br> ## EXPERIMENTAL SETUP ##<br> ########################### # FLUXES # CHE-EDGAR-2015 EMISSIONS<br> CHE-TIER-2-FIRE/OCEAN<br> ONLINE CHTESSEL BIOGENIC FLUXES (FOR TRANSPORT ERROR THESE USE THE CONTROL MEMBER FLUXES) # MODEL # IFS-CYCLE 46R1<br> RESOLUTION TCO399 (~25km)<br> 137 VERTICAL LEVELS<br> ALL DATA PROVIDED HERE ARE EITHER COLUMN INTEGRATED MIXING RATIO (XCO2) OR SURFACE (LEVEL 137)<br> ALL DATA PROVIDED HERE ARE STANDARD DEVIATION ACROSS 50 ENSEMBLE MEMBERS<br>
description: {"references": ["McNorton et al. (2020) : Representing Model Uncertainty for Global Atmospheric CO2 Flux Inversions Using ECMWF-IFS-46R1"]}
DOI: 10.21227/kyse-ek69
title: CONFLICT SCENARIOS IN SMART HOMES

description: This is a repository of 104 smart home conflict scenarios, which were designated as conflict by actual human users. In other words, humans consider the scenarios below to be conflicts in a smart home environment. To see how to use this repository, and how the repository was collected, please read the following paper:Fereshteh Jadidi Miandashti, Mohammad Izadi, Ali Asghar Nazari Shirehjini, and Shervin Shirmohammadi, “An Empirical Approach to Modeling User-System Interaction Conflicts in Smart Homes”, IEEE Trans. on Human-Machine Systems, 2020.Please note that the scenarios in our repository help identify what is conflict from the users’ perspective. They do not tell us how to handle those conflicts. In other words, the cases below are about conflict detection, not conflict resolution.This repository can help designers of Smart Homes understand what rules (system behaviors) were perceived by users as conflict, so they can design appropriate conflict detection and conflict resolution modules for their Smart Home system. For example, in one scenario, the user might open the window to let in the fresh air, but the user has forgotten that his pet bird is roaming free in the room and might escape from the window! The system knows the latter fact and closes the window immediately. Our Smart Home users considered this scenario to be a conflict. A designer might come across a scenario similar to this. In this case, the designer can use our repository to (1) understand that his/her scenario, which is very similar to one of the scenarios in our repository, is indeed considered a conflict by smart home users; hence the designer can investigate it subjectively or with some well-known techniques, and (2) design appropriate conflict detection and resolution rules for it in order to increase user satisfaction. Of course, our repository does not contain all possible conflict scenarios in a smart home, but it gives a fairly good starting point.
DOI: 10.5281/zenodo.3715005
title: Table S1. List of relevant studies of gene expression with available eQTL data.

description: <strong>Supplementary Table S1. List of relevant studies of gene expression with available eQTL data.</strong> The table contains information of gene expression eQTL data used in the current study: source name (CEDAR, GTEx, blood eQTL by Westra et al.), tissue name and corresponding article DOI. Part of the article: Williams FMK et al. "Sequence variation at 8q24.21 and risk of back pain"
DOI: 10.5281/zenodo.3715004
title: Table S1. List of relevant studies of gene expression with available eQTL data.

description: <strong>Supplementary Table S1. List of relevant studies of gene expression with available eQTL data.</strong> The table contains information of gene expression eQTL data used in the current study: source name (CEDAR, GTEx, blood eQTL by Westra et al.), tissue name and corresponding article DOI. Part of the article: Williams FMK et al. "Sequence variation at 8q24.21 and risk of back pain"
DOI: 10.5519/qd.e2q4jpuw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (130 records)
DOI: 10.5519/qd.lb1wjzwj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (28 records)
DOI: 10.18716/nmrshiftdb2/76148
title: NMR data for 4-pyrrolidin-1-ylbut-3-yn-2-one
DOI: 10.18716/nmrshiftdb2/76158
title: NMR data for 3-bromo-5-propan-2-yl-1,2,4-oxadiazole
DOI: 10.18716/nmrshiftdb2/76179
title: NMR data for 1,2,4-tribromo-5-(2,4,5-tribromophenyl)benzene
DOI: 10.3886/e117844v1
title: Sealing round and oval windows with triamcinolone-acetonide

description: Retrospective analysis of sealing round and window with triamcinolone-acetonide soaked biopolymer and fascia, for refractory sudden sensorineuronal hearing loss
DOI: 10.3886/e117844
title: Sealing round and oval windows with triamcinolone-acetonide

description: Retrospective analysis of sealing round and window with triamcinolone-acetonide soaked biopolymer and fascia, for refractory sudden sensorineuronal hearing loss
DOI: 10.18716/nmrshiftdb2/76151
title: NMR data for methyl 5-(diethylamino)penta-2,4-diynoate
DOI: 10.18716/nmrshiftdb2/76177
title: NMR data for 1-bromo-2,4,5-trimethylbenzene
DOI: 10.18716/nmrshiftdb2/76152
title: NMR data for trimethyl(2-piperidin-1-ylethynyl)silane
DOI: 10.18716/nmrshiftdb2/76410
title: NMR data for 2-O-ethyl 5-O-methyl 6-methoxy-4-methylpyridine-2,5-dicarboxylate
DOI: 10.15139/s3/ztn9ey
title: Mayer Hashi II Endline Survey 2017

description: An external impact evaluation of the Mayer Hashi Phase II (MH-II) project was requested by the U.S. Agency for International Development (USAID)/Bangladesh. MH-II, which is a follow-on project to the previous Mayer Hashi (MH-I) project, was initially awarded to EngenderHealth for the period October 2013 to September 2017, but was subsequently extended to September 2018. The 2017 Endline Mayer Hashi Phase II Evaluation Survey is the last of two surveys to evaluate the impact of MH-II in increasing the use of effective family planning (FP) and reproductive health services among the population in Bangladesh.
DOI: 10.21223/p3/t41tzd/r3zenm
title: Organoleptic.tab

description: :unav
DOI: 10.21223/p3/t41tzd/wm1cxi
title: Dictionary.xls

description: :unav
DOI: 10.21223/p3/t41tzd/4rzdyk
title: PTDrought012012_JODHPUR.tab

description: :unav
DOI: 10.18716/nmrshiftdb2/76154
title: NMR data for 3-bromo-5-phenyl-1,2,4-oxadiazole
DOI: 10.5281/zenodo.3715063
title: Short-term effects of biochar on soil CO2 efflux in boreal Scots pine forests

description: This dataset includes all the data we collected at the first summer after biochar application in boreal forests. Our paper“ the effect of biochar on soil CO<sub>2</sub> efflux in boreal forests“ now is under review in Annals of Forest Science. Biochar prepared at two reaction temperatures was applied at three rates (including non-amended controls). During the first year after treatment, efflux increased with higher rates of biochar, but the reaction temperature had no effect. o explain char effects on efflux, soil moisture and temperature were also added to the model testing treatment effects. These environmental variables explained more of the variation in efflux and caused treatment to no longer have a significant effect. Based on this result, we concluded that soil temperature explains the effect of char on efflux.
DOI: 10.5281/zenodo.3715064
title: Short-term effects of biochar on soil CO2 efflux in boreal Scots pine forests

description: This dataset includes all the data we collected at the first summer after biochar application in boreal forests. Our paper“ the effect of biochar on soil CO<sub>2</sub> efflux in boreal forests“ now is under review in Annals of Forest Science. Biochar prepared at two reaction temperatures was applied at three rates (including non-amended controls). During the first year after treatment, efflux increased with higher rates of biochar, but the reaction temperature had no effect. o explain char effects on efflux, soil moisture and temperature were also added to the model testing treatment effects. These environmental variables explained more of the variation in efflux and caused treatment to no longer have a significant effect. Based on this result, we concluded that soil temperature explains the effect of char on efflux.
DOI: 10.6084/m9.figshare.12000708
title: IO_Multivariate_Reconstructed_SL_F1900T2013.mat

description: Sea-Level data has been reconstructed for the Indian Ocean using a new multivariate CSEOF reconstruction technique for the period 1900-2013. This dataset is created using sea surface temperature and sea level pressure in addition to sea level data (to help overcome sparse spatio-temporal tide gauge sampling) and consists of improved 20<sup>th</sup> century reconstructed sea level estimates for the Indian Ocean. <br>This is a .mat structure file (Rcon) created using Matlab. Under the Rcon structure, there are four variables:sla ==&gt; Reconstructed sea level anomaly. [Units: Meters].lat ==&gt; Latitude. [Resolution: 0.5 degrees].lon ==&gt; Longitude.[Resolution: 0.5 degrees].t ==&gt; Time. [Resolution: Monthly].*** NOTE:Due to the 12 month fitting window of the CSEOF basis functions, data (sla) for the first 6 months and last 6 months are absent.<br><br>
DOI: 10.18716/nmrshiftdb2/76164
title: NMR data for 3-N,5-N-diphenyl-1,2,4-thiadiazole-3,5-diamine
DOI: 10.18716/nmrshiftdb2/76156
title: NMR data for InChI=1S/C15H18N2O5/c1-19-13(20-2)11-15(18,8-9-21-11)14-16-12(22-17-14)10-6-4-3-5-7-10/h3-7,11,13,18H,8-9H2,1-2H3
DOI: 10.18716/nmrshiftdb2/76168
title: NMR data for InChI=1S/C16H15N3O2S2/c1-12-8-10-14(11-9-12)23(20,21)16-18-22-15(19(16)2)17-13-6-4-3-5-7-13/h3-11H,1-2H3/b17-15-
DOI: 10.21223/p3/4ftdo8/mwxwkc
title: PTLB200112_VIENA_B3C1COM02-17.xls

description: :unav
DOI: 10.21223/p3/4ftdo8/xg1iao
title: PTLB200212_VIENA_B3C1COM03-05.xls

description: :unav
DOI: 10.21223/p3/4ftdo8/1yggbo
title: PTLB200109_OXAPMP_B3C1OXA02-17.xls

description: :unav
DOI: 10.21223/p3/4ftdo8/7owwzq
title: PTLB200512_VIENA_B3C1COM06-02.xls

description: :unav
DOI: 10.21223/p3/4ftdo8/8vr7p9
title: PTLB200209_OXAPMP_B3C1OXA03-05.xls

description: :unav
DOI: 10.21223/p3/4ftdo8/gw47m1
title: PTLB200412_VIENA_B3C1COM05-03.xls

description: :unav
DOI: 10.21223/p3/4ftdo8/7ccnsb
title: PTLB200409_OXAPMP_B3C1OXA05-03.xls

description: :unav
DOI: 10.21223/p3/4ftdo8/r3bpoi
title: PTLB200509_OXAPMP_B3C1OXA06-02.xls

description: :unav
DOI: 10.21223/p3/4ftdo8/rhbfkc
title: Dictionary_Lateblight.xls

description: :unav
DOI: 10.15468/6vty9s
title: A synopsis of American Caraphia Gahan, 1906 (Coleoptera: Cerambycidae: Lepturinae) with description of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wappes, James E., Santos-Silva, Antonio (2018): A synopsis of American Caraphia Gahan, 1906 (Coleoptera: Cerambycidae: Lepturinae) with description of two new species. Insecta Mundi 683: 1-17, DOI: http://doi.org/10.5281/zenodo.3715112
DOI: 10.18716/nmrshiftdb2/76161
title: NMR data for 3-bromo-5-(chloromethyl)-1,2,4-oxadiazole
DOI: 10.5281/zenodo.3715194
title: Exploring the influence of core-self evaluations, situational factors, and coping on nurse burnout: A cross-sectional survey study

description: Stress has become an inherent aspect of the nursing profession. Chronically experienced work stress can lead to burnout. Although situational stressors show a significant influence on burnout, their power to predict the complete syndrome is rather limited. After all, stressors only exist “in the eye of the beholder”. This study aimed to explore how individual vulnerability factors such as core-self evaluations and coping, contribute to burnout in relation to situational stressors within a population of hospital nurses. Cross-sectional data was collected in 2014, using five validated self-report instruments: Dutch Core Self Evaluations Scale, Nursing Work Index Revised, Utrecht Coping List, Ruminative Response Scale, and Utrecht Burnout Scale. 219 of the 250 questionnaires were returned. This database is available here. Core-self evaluations, situational factors and coping each contributed significantly to the predictive capacity of the models of the separate burnout dimensions. Core-self evaluations was significantly related to emotional exhaustion. It was suggested that Core-self evaluations might be placed at the initiation of the loss cycle. However, further research is warranted.
DOI: 10.3886/e118321
title: Malleostapedotomy

description: Retrospective analysis of patient’s files and pre and post operative audiograms, for cases of surgically treated otosclerosis with malleostapedotomy.
DOI: 10.5281/zenodo.3715193
title: Exploring the influence of core-self evaluations, situational factors, and coping on nurse burnout: A cross-sectional survey study

description: Stress has become an inherent aspect of the nursing profession. Chronically experienced work stress can lead to burnout. Although situational stressors show a significant influence on burnout, their power to predict the complete syndrome is rather limited. After all, stressors only exist “in the eye of the beholder”. This study aimed to explore how individual vulnerability factors such as core-self evaluations and coping, contribute to burnout in relation to situational stressors within a population of hospital nurses. Cross-sectional data was collected in 2014, using five validated self-report instruments: Dutch Core Self Evaluations Scale, Nursing Work Index Revised, Utrecht Coping List, Ruminative Response Scale, and Utrecht Burnout Scale. 219 of the 250 questionnaires were returned. This database is available here. Core-self evaluations, situational factors and coping each contributed significantly to the predictive capacity of the models of the separate burnout dimensions. Core-self evaluations was significantly related to emotional exhaustion. It was suggested that Core-self evaluations might be placed at the initiation of the loss cycle. However, further research is warranted.
DOI: 10.15468/89pg6i
title: The fast-running flies (Diptera, Hybotidae, Tachydromiinae) of Singapore and adjacent regions

description: This dataset contains the digitized treatments in Plazi based on the original journal article Grootaert, Patrick, Shamshev, Igor V. (2012): The fast-running flies (Diptera, Hybotidae, Tachydromiinae) of Singapore and adjacent regions. European Journal of Taxonomy 5: 1-162, DOI: http://dx.doi.org/10.5852/ejt.2012.5
DOI: 10.21223/p3/m40fyt/slgzbi
title: PTYL200512_CIPHYO_B1C5HYO06-07.xls

description: :unav
DOI: 10.21223/p3/m40fyt/wrizes
title: PTYL200512_CIPHYO_B1C5HYO06-06.xls

description: :unav
DOI: 10.21223/p3/m40fyt/utn1o2
title: PTYL200512_CIPHYO_B1C5HYO06-05.xls

description: :unav
DOI: 10.21223/p3/m40fyt/ywrzhg
title: PTYL200512_CIPHYO_B1C5HYO06-04.xls

description: :unav
DOI: 10.21223/p3/m40fyt/v9g1sd
title: Dictionary_Yield.xls

description: :unav
DOI: 10.18716/nmrshiftdb2/76160
title: NMR data for N,N-diethyl-3-[3-(3-methylphenyl)-1,2,4-oxadiazol-5-yl]propanamide
DOI: 10.15468/bylcfz
title: New species of Stenotothorax Schmidt from the northwestern United States (Coleoptera: Scarabaeidae: Aphodiinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Skelley, Paul E., McPeak, Ron H. (2018): New species of Stenotothorax Schmidt from the northwestern United States (Coleoptera: Scarabaeidae: Aphodiinae). Insecta Mundi 681: 1-31, DOI: http://doi.org/10.5281/zenodo.3715079
DOI: 10.21223/p3/h50yao/eodott
title: PTYL200806_CIPHQ_LBHT-1LAM08-01.xls

description: :unav
DOI: 10.21223/p3/h50yao/4jki5q
title: PTYL200806_CIPHQ_LBHT-1LAM08-02.xls

description: :unav
DOI: 10.21223/p3/h50yao/dwaurg
title: PTYL200806_CIPHQ_LBHT-1LAM08-03.xls

description: :unav
DOI: 10.21223/p3/h50yao/npxq5x
title: PTYL200806_CIPHQ_LBHT-1LAM08-04.xls

description: :unav
DOI: 10.21223/p3/h50yao/p7g7p9
title: Dictionary_Yield.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/hra4fe
title: PTLB200412_VIENA_B1C5COM05-13.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/smx6ce
title: PTLB200412_VIENA_B1C5COM05-06.xls

description: :unav
DOI: 10.18716/nmrshiftdb2/76159
title: NMR data for N,N-diethyl-3-[3-(4-methylphenyl)-1,2,4-oxadiazol-5-yl]propanamide
DOI: 10.21223/p3/nqbnwx/uhippe
title: PTLB200512_VIENA_B1C5COM06-09.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/2nhiaf
title: PTLB200512_VIENA_B1C5COM06-07.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/160glk
title: PTLB200412_VIENA_B1C5COM05-07.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/2nn6cy
title: PTLB200412_VIENA_B1C5COM05-12.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/oqjseu
title: PTLB200412_VIENA_B1C5COM05-09.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/wznxlg
title: PTLB200412_VIENA_B1C5COM05-08.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/5bhxbl
title: PTLB200412_VIENA_B1C5COM05-11.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/6vfg9z
title: PTLB200412_VIENA_B1C5COM05-14.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/6lhmo8
title: PTLB200512_VIENA_B1C5COM06-10.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/nhvld5
title: PTLB200512_VIENA_B1C5COM06-11.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/rtalyj
title: PTLB200412_VIENA_B1C5COM05-10.xls

description: :unav
DOI: 10.21223/p3/nqbnwx/3wsj6w
title: Dictionary_Lateblight.xls

description: :unav
DOI: 10.21223/p3/mwojgr/utmyl7
title: PTLB200512_VIENA_B3C2COM06-08.xls

description: :unav
DOI: 10.21223/p3/mwojgr/0vllbr
title: PTLB200212_VIENA_B3C2COM03-06.xls

description: :unav
DOI: 10.21223/p3/mwojgr/ugqgst
title: PTLB200112_VIENA_B3C2COM02-07.xls

description: :unav
DOI: 10.21223/p3/mwojgr/gtr6lt
title: PTLB200112_VIENA_B3C2COM02-03.xls

description: :unav
DOI: 10.21223/p3/mwojgr/whgvn6
title: PTLB200012_VIENA_B3C2COM01-07.xls

description: :unav
DOI: 10.21223/p3/mwojgr/9xviya
title: PTLB199912_CACHUPIA_B3C2COM00-07.xls

description: :unav
DOI: 10.21223/p3/mwojgr/rnjlbz
title: PTLB200012_VIENA_B3C2COM01-06.xls

description: :unav
DOI: 10.21223/p3/mwojgr/up9xcw
title: PTLB200012_VIENA_B3C2COM01-03.xls

description: :unav
DOI: 10.21223/p3/vyclvx/awzg68
title: PTLB200409_OXAPMP_B1C5OXA05-14.xls

description: :unav
DOI: 10.21223/p3/mwojgr/jovyir
title: PTLB200112_VIENA_B3C2COM02-04.xls

description: :unav
DOI: 10.21223/p3/mwojgr/wzssbz
title: PTLB200012_VIENA_B3C2COM01-10.xls

description: :unav
DOI: 10.21223/p3/mwojgr/zf5ooh
title: PTLB200012_VIENA_B3C2COM01-04.xls

description: :unav
DOI: 10.21223/p3/ooq73n/q0dbeu
title: PTLB200612_CACHUPIA-LBHT-1COM07-10.xls

description: :unav
DOI: 10.21223/p3/ooq73n/xzcl5s
title: PTLB200612_CACHUPIA-LBHT-1COM07-08.xls

description: :unav
DOI: 10.21223/p3/vyclvx/giqtjj
title: PTLB200409_OXAPMP_B1C5OXA05-13.xls

description: :unav
DOI: 10.21223/p3/vyclvx/hwk7hs
title: PTLB200409_OXAPMP_B1C5OXA05-11.xls

description: :unav
DOI: 10.21223/p3/vyclvx/uwgmhi
title: PTLB200409_OXAPMP_B1C5OXA05-07.xls

description: :unav
DOI: 10.21223/p3/9vmenb/15ri7e
title: PTLB200009_OXAPMP_B3C2OXA01-06.xls

description: :unav
DOI: 10.21223/p3/9vmenb/borbbq
title: PTLB200509_OXAPMP_B3C2OXA06-07.xls

description: :unav
DOI: 10.21223/p3/mwojgr/qglydo
title: PTLB200112_VIENA_B3C2COM02-05.xls

description: :unav
DOI: 10.21223/p3/mwojgr/udwrmf
title: PTLB199912_CACHUPIA_B3C2COM00-06.xls

description: :unav