cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3603560
title: Supplementary materials (Allometry and fighting behaviour of a dimorphic stag beetle Cyclommatus miniszechi (Coleoptera: Lucanidae))

description: <strong>Supplementary Materials:</strong> <strong>Table S1.</strong> The morphological measurements of males of <em>Cyclommatus mniszechi</em> used for allometry analyses. <strong>Table S2. </strong>The behavioural sequence data used for sequential analyses of size-matched contests in major males of <em>Cyclommatus mniszechi</em>. <strong>Table S3. </strong>The behavioural sequence data used for sequential analyses of size-matched contests in minor males of <em>Cyclommatus mniszechi</em>. <strong>Video S1.</strong> The behavioural sequence of males of <em>Cyclommatus mniszechi</em> in fighting contests under the laboratory setups. One of the opponents walked to the other and touched it (00:07), and then both of them displayed ‘defensive posture’ (00:08) after ‘touch’. Once both individuals approached each other, they accelerated antennation and raised their mandibles and prothoracic parts. The contest then progressed into ‘body raising’ (00:14). They then performed ‘attack’ and ‘push’ to each other several times and then escalated to ‘tussle’ (00:20) and interlocked their mandibles until one of the contestants was clamped (‘clamp1’) in the air by the other for a second and flipped (00:50). The winner dropped the loser and kept attacking and pushing the loser while the loser retreated and moved backwards (00:51).
DOI: 10.5281/zenodo.3603569
title: Mock UV dataset of Saturn

description: Mock UV dataset of Saturn conforming to CASA baseline conventions.
DOI: 10.18112/openneuro.ds002382.v1.0.0
title: The neural basis of spoken word perception in older adults
DOI: 10.18716/nmrshiftdb2/74932
title: NMR data for methyl (E)-2-methylbut-2-enoate
DOI: 10.18716/nmrshiftdb2/74935
title: NMR data for dimethyl 2-methoxypropanedioate
DOI: 10.18716/nmrshiftdb2/74916
title: NMR data for 4-(bromomethyl)benzonitrile
DOI: 10.18716/nmrshiftdb2/74929
title: NMR data for methyl (2E,4E)-hexa-2,4-dienoate
DOI: 10.18716/nmrshiftdb2/74933
title: NMR data for dimethyl 2-ethylidenepropanedioate
DOI: 10.18716/nmrshiftdb2/74927
title: NMR data for 4-fluoropyridine
DOI: 10.18716/nmrshiftdb2/74943
title: NMR data for 2-[(1E)-4,4-dimethylhexa-1,5-dienyl]-4,5-dimethyl-1,3-oxazole
DOI: 10.18716/nmrshiftdb2/74950
title: NMR data for 2-benzyl-1,3-oxazole
DOI: 10.18716/nmrshiftdb2/74931
title: NMR data for methyl 3-methylbut-2-enoate
DOI: 10.22024/unikent/01.01.101
title: Analysing Genetic Variation in Ebolaviruses and Cancer Cell Lines : Supplemetary Tables for Annexes 2 and 3

description: In this supplementary materials folder you can find the Supplementary tables of Annex 2 and 3 that are cited but not included in the main document. The name of each archive is the same as the table cited in the document, and they are stored in two different folders, each of them corresponding to the Annex of their names.
DOI: 10.18716/nmrshiftdb2/74934
title: NMR data for methyl (E)-2-methylpent-2-enoate
DOI: 10.18716/nmrshiftdb2/74940
title: NMR data for methyl 5-methoxy-2-phenyl-1,3-oxazole-4-carboxylate
DOI: 10.25345/c5hm4w
title: MassIVE MSV000084787 - Thousands of novel unannotated proteins expand the MHC I immunopeptidome in cancer
title: Ouspenskaia T, Law T, Clauser KR, Klaeger S, Sarkizova S, Aguet F, Li B, Christian E, Knisbacher BA, Le P, Hartigan CR, Keshishian H, Oliveira G, Zhang W, Chow YT, Ji Z, Shukla SA, Bachireddy P, Getz G, Hacohen N, Keskin DB, Carr SA, Wu CJ, Regev A. Tumor epitopes, peptides that are presented on surface-bound MHC I proteins, provide targets for cancer immunotherapy and have been identified extensively in the annotated protein-coding regions of the genome. Motivated by the recent discovery of translated novel unannotated open reading frames (nuORFs) using ribosome profiling (Ribo-seq), we hypothesized that cancer-associated processes could generate nuORFs that can serve as a new source of tumor antigens that harbor somatic mutations or show tumor-specific expression. To identify cancer-specific nuORFs, we generated Ribo-seq profiles for 29 malignant and healthy samples, developed a sensitive analytic approach for hierarchical ORF prediction, and constructed a high-confidence database of translated nuORFs across tissues. Peptides from 3,555 unique translated nuORFs were presented on MHC I, based on analysis of an extensive dataset of MHC I-bound peptides detected by mass spectrometry, with &gt;20-fold more nuORF peptides detected in the MHC I immunopeptidomes compared to whole proteomes. We further detected somatic mutations in nuORFs of cancer samples and identified nuORFs with tumor-specific translation in melanoma, chronic lymphocytic leukemia and glioblastoma. NuORFs thus expand the pool of MHC I-presented, tumor-specific peptides, targetable by immunotherapies.
DOI: 10.18716/nmrshiftdb2/74938
title: NMR data for ethyl 2-methylsulfanyl-5-phenyl-1,3-oxazole-4-carboxylate
DOI: 10.18716/nmrshiftdb2/74944
title: NMR data for 4-chloro-2-methyl-5-phenyl-1,3-oxazole
DOI: 10.18716/nmrshiftdb2/74937
title: NMR data for ethyl 5-benzyl-2-methylsulfanyl-1,3-oxazole-4-carboxylate
DOI: 10.18716/nmrshiftdb2/74947
title: NMR data for methyl 2-(4-chloro-5-phenyl-1,3-oxazol-2-yl)acetate
DOI: 10.18716/nmrshiftdb2/74948
title: NMR data for methyl 5-methoxy-2-(4-methylphenyl)-1,3-oxazole-4-carboxylate
DOI: 10.18716/nmrshiftdb2/74959
title: NMR data for N-(2-oxo-3H-1,3,4-thiadiazol-5-yl)acetamide
DOI: 10.18716/nmrshiftdb2/74956
title: NMR data for 5-amino-3-(2-methylpropanoyl)-1,3,4-thiadiazol-2-one
DOI: 10.18716/nmrshiftdb2/74957
title: NMR data for 5-amino-3-(2,2-dimethylpropanoyl)-1,3,4-thiadiazol-2-one
DOI: 10.18716/nmrshiftdb2/74960
title: NMR data for N-(2-oxo-3H-1,3,4-thiadiazol-5-yl)benzamide
DOI: 10.18716/nmrshiftdb2/74962
title: NMR data for N-(4-acetyl-5-oxo-1,3,4-thiadiazol-2-yl)acetamide
DOI: 10.18716/nmrshiftdb2/74966
title: NMR data for 3-methyl-5-methylsulfanyl-1,3,4-thiadiazole-2-thione
DOI: 10.18716/nmrshiftdb2/74964
title: NMR data for 5-methylsulfanyl-3H-1,3,4-thiadiazole-2-thione
DOI: 10.18716/nmrshiftdb2/74963
title: NMR data for InChI=1S/C18H19N3O2S/c1-18(20-19-17(24-18)15-10-6-3-7-11-15)12-16(22)21(23)13-14-8-4-2-5-9-14/h2-11,20,23H,12-13H2,1H3
DOI: 10.18716/nmrshiftdb2/74961
title: NMR data for 5-methyl-4-methylsulfanyl-2-[(4-nitrophenyl)methyl]-1,3-oxazole
DOI: 10.18716/nmrshiftdb2/74965
title: NMR data for 3-methyl-1,3,4-thiadiazolidine-2,5-dithione
DOI: 10.25625/p2ofht
title: Workflow zur OER-Erstellung nach Axel Dürkop

description: Schaubild zum Workflow der OER-Erstellung nach Axel Dürkop.
DOI: 10.18716/nmrshiftdb2/74967
title: NMR data for 3-(hydroxymethyl)-5-methylsulfanyl-1,3,4-thiadiazole-2-thione
DOI: 10.18716/nmrshiftdb2/74968
title: NMR data for 3-(chloromethyl)-5-methylsulfanyl-1,3,4-thiadiazole-2-thione
DOI: 10.5281/zenodo.3592549
title: Data for [Identification of paleomagnetic remanence carriers in ca. 3.47 Ga dacite from the Duffer Formation, the Pilbara Craton]

description: Data used in the manuscript [Identification of paleomagnetic remanence carriers in ca. 3.47 Ga dacite from the Duffer Formation, the Pilbara Craton] by Usui et al., Physics of the Earth and Planetary Interiors.
DOI: 10.5281/zenodo.3604048
title: Time series from "Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field"

description: Time Series used in the evaluation of "Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field"
DOI: 10.5281/zenodo.3604049
title: Time series from "Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field"

description: Time Series used in the evaluation of "Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field"
DOI: 10.18716/nmrshiftdb2/74970
title: NMR data for 5-benzylsulfanyl-3-methyl-1,3,4-thiadiazole-2-thione
DOI: 10.5281/zenodo.3592548
title: Data for [Identification of paleomagnetic remanence carriers in ca. 3.47 Ga dacite from the Duffer Formation, the Pilbara Craton]

description: Data used in the manuscript [Identification of paleomagnetic remanence carriers in ca. 3.47 Ga dacite from the Duffer Formation, the Pilbara Craton] by Usui et al., Physics of the Earth and Planetary Interiors.
DOI: 10.5519/qd.whbnjnvc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (380155 records)
DOI: 10.18716/nmrshiftdb2/74975
title: NMR data for 3-ethyl-5-phenyl-1,3,4-thiadiazol-2-one
DOI: 10.18716/nmrshiftdb2/74971
title: NMR data for 3-methyl-5-sulfanylidene-1,3,4-thiadiazolidin-2-one
DOI: 10.18716/nmrshiftdb2/74973
title: NMR data for 5-(methylamino)-3H-1,3,4-thiadiazole-2-thione
DOI: 10.18716/nmrshiftdb2/74969
title: NMR data for 5-(chloromethylsulfanyl)-3-methyl-1,3,4-thiadiazole-2-thione
DOI: 10.18716/nmrshiftdb2/74972
title: NMR data for InChI=1S/C3H4N2SSe/c1-2-4-5-3(7)6-2/h1H3,(H,5,7)
DOI: 10.18716/nmrshiftdb2/74974
title: NMR data for 5-(4-methylanilino)-3H-1,3,4-thiadiazole-2-thione
DOI: 10.17632/f5p9hhnn3c.1
title: Data for: Double or Triple Antithrombotic Therapy after Coronary Stenting and Atrial Fibrillation: a systematic review and meta-analysis of randomized clinical trials
DOI: 10.18716/nmrshiftdb2/74977
title: NMR data for 5-(4-chlorophenyl)-3-prop-2-ynyl-1,3,4-thiadiazol-2-one
DOI: 10.18716/nmrshiftdb2/74976
title: NMR data for 5-phenyl-3-prop-2-ynyl-1,3,4-thiadiazol-2-one
DOI: 10.18716/nmrshiftdb2/74979
title: NMR data for 2-(2-nitrophenyl)acetonitrile
DOI: 10.18716/nmrshiftdb2/74981
title: NMR data for 2-(2-bromophenyl)acetonitrile
DOI: 10.5281/zenodo.3604104
title: Phylogenetic comparative methods are problematic when applied to gene trees with speciation and duplication nodes: correcting for biases in testing the ortholog conjecture

description: This repository contains “manuscript_dunn.RData” file, which is reproduced by using the files and scripts of Dunn et al. (Dunn CW, Zapata F, Munro C, Siebert S, Hejnol A (2018) Pairwise comparisons across species are problematic when analyzing functional genomic data. Proc Natl Acad Sci U S A 115: E409–E417. doi:10.1073/pnas.1707515115). In this repository, we also supplied “Data_TMRR_latest.rda” file, containing the results generated by using our own scripts. Our scripts are available on GitHub: https://github.com/tbegum/Testing_the_ortholog_conjecture.
DOI: 10.18716/nmrshiftdb2/74980
title: NMR data for 2-(2-methoxyphenyl)acetonitrile
DOI: 10.5281/zenodo.3604117
title: Modal shift in North Atlantic seasonality during the last deglaciation

description: Raw data for Brummer et al. (2020) published in Climate of the Past (https://doi.org/10.5194/cp-16-1-2020)
DOI: 10.18716/nmrshiftdb2/74989
title: NMR data for InChI=1S/C10H16Br2/c1-7-8(6-11)10(2,3)5-4-9(7)12/h9H,4-6H2,1-3H3
DOI: 10.5281/zenodo.3604118
title: Modal shift in North Atlantic seasonality during the last deglaciation

description: Raw data for Brummer et al. (2020) published in Climate of the Past (https://doi.org/10.5194/cp-16-1-2020)
DOI: 10.18716/nmrshiftdb2/74984
title: NMR data for 2-(2-methylphenyl)acetonitrile
DOI: 10.7910/dvn/t2zfqn/apup22
title: Ravikumar_etal_LDAR_SI_vFinal.xlsx

description: Data
DOI: 10.18716/nmrshiftdb2/74990
title: NMR data for InChI=1S/C9H11BrO/c1-6-7-2-3-9(10,4-7)8(6)5-11/h2-3,7,11H,4-5H2,1H3
DOI: 10.18716/nmrshiftdb2/74983
title: NMR data for 2-(2-fluorophenyl)acetonitrile
DOI: 10.18716/nmrshiftdb2/74985
title: NMR data for InChI=1S/C11H11NO2/c1-2-14-11(13)10(8-12)9-6-4-3-5-7-9/h3-7,10H,2H2,1H3
DOI: 10.25625/c93dpu
title: Workflow zur OER-Erstellung

description: Schaubild über den Workflow zur OER-Erstellung nach Axel Dürkop und Florian Hagen.
DOI: 10.25625/c93dpu/3mz7hs
title: Workflow-zur-OER-Erstellung-nach-Axel-Dürkop

description: :unav
DOI: 10.25625/c93dpu/wtckrf
title: Workflow-zur-OER-Erstellung-ohne-OR-Code

description: :unav
DOI: 10.5525/gla.researchdata.872
title: Efficient human-machine control with asymmetric marginal reliability input devices
DOI: 10.18716/nmrshiftdb2/74988
title: NMR data for InChI=1S/C9H7N/c10-6-8-5-7-3-1-2-4-9(7)8/h1-4,8H,5H2
DOI: 10.18716/nmrshiftdb2/74992
title: NMR data for InChI=1S/C7H8BrNO2/c1-3-5(4(2)8)7(11)9-6(3)10/h4H,1-2H3,(H,9,10,11)
DOI: 10.5281/zenodo.3604134
title: Effect of pore collapse and grain crushing on the frequency dependence of elastic wave velocities in a porous sandstone

description: Dataset for the article "Effect of pore collapse and grain crushing on the frequency dependence of elastic wave velocities in a porous sandstone"<br> by Sun, C., Borgomano, J.V.M., Fortin J., Wang, S. Please refer to the ReadMe file or to kang2008ping2008@163.com for more details.
DOI: 10.5281/zenodo.3604135
title: Effect of pore collapse and grain crushing on the frequency dependence of elastic wave velocities in a porous sandstone

description: Dataset for the article "Effect of pore collapse and grain crushing on the frequency dependence of elastic wave velocities in a porous sandstone"<br> by Sun, C., Borgomano, J.V.M., Fortin J., Wang, S. Please refer to the ReadMe file or to kang2008ping2008@163.com for more details.
DOI: 10.5281/zenodo.3604138
title: Simulations of a membrane with a dilute concentration of proteins in different system sizes

description: Simulations of a dilute (400 lipids per protein per leaflet) DPPC membranes with seven types of embedded proteins. The systems are a 50% smaller (S) and 4 times larger (L) versions of the lp400 simulation in the upload: DOI:10.5281/zenodo.846428. Topologies and simulation parameters are identical to those in that upload.
DOI: 10.5281/zenodo.3604139
title: Simulations of a membrane with a dilute concentration of proteins in different system sizes

description: Simulations of a dilute (400 lipids per protein per leaflet) DPPC membranes with seven types of embedded proteins. The systems are a 50% smaller (S) and 4 times larger (L) versions of the lp400 simulation in the upload: DOI:10.5281/zenodo.846428. Topologies and simulation parameters are identical to those in that upload.
DOI: 10.18716/nmrshiftdb2/74987
title: NMR data for 3-oxo-2-phenylbutanenitrile
DOI: 10.18716/nmrshiftdb2/74991
title: NMR data for 5-bromo-1,2,3,4,5-pentamethylcyclopenta-1,3-diene
DOI: 10.5281/zenodo.3377401
title: Seismic monitoring of Hans glacier (Svalbard) using dedicated local network

description: Seismic dataset registered during monitoring of Hans glacier (Svalbard) using dedicated local network in Hornsund 10/2017-04/2018 carried by Wojciech Gajek and coworkers financed by an internal grant of Institute of Geophysics Polish Academy of Sciences. Dataset can be used for analyzing the glacier seismicity. More on that topic in Svalbard can be find in Seismology chapter of SESS 2019 report https://sios-svalbard.org/SESS_Issue2 Project log in ResearchGate: https://www.researchgate.net/project/Seismic-monitoring-of-Hans-glacier-Svalbard-using-dedicated-local-network The data includes seismic records (3C) from the temporary seismic network. It is advised to take into the processing also the permanent station HSPB.<br> Data is packed as a zip archive. Its structure is SDS, compatible with ObsPy query system.<br> The structure includes HSPB but HSPB data is not there due to limited file space here (its publicly available eg in Orpheus). Other files are:<br> coordinates,<br> map<br> data availability chart<br> my presentation from ESC Malta with preliminary results<br> photos from field installation<br> data conditioning report Have fun. You can contact me via researchgate: https://www.researchgate.net/profile/Wojciech_Gajek
description: add later
DOI: 10.17632/sdd2dsy32y.1
title: Data from 'A computational approach to the revelation effect'

description: We provide raw data for the experiments presented in Brandt et al. R-Code for a simulation of the revelation effect with MINERVA 2, and for the model fitting procedure is also provided.
DOI: 10.34644/laudatio-repository-dev3fczj28bsjpwfnwkfo4o
title: Ludolf
DOI: 10.5281/zenodo.3377402
title: Seismic monitoring of Hans glacier (Svalbard) using dedicated local network

description: Seismic dataset registered during monitoring of Hans glacier (Svalbard) using dedicated local network in Hornsund 10/2017-04/2018 carried by Wojciech Gajek and coworkers financed by an internal grant of Institute of Geophysics Polish Academy of Sciences. Dataset can be used for analyzing the glacier seismicity. More on that topic in Svalbard can be find in Seismology chapter of SESS 2019 report https://sios-svalbard.org/SESS_Issue2 Project log in ResearchGate: https://www.researchgate.net/project/Seismic-monitoring-of-Hans-glacier-Svalbard-using-dedicated-local-network The data includes seismic records (3C) from the temporary seismic network. It is advised to take into the processing also the permanent station HSPB.<br> Data is packed as a zip archive. Its structure is SDS, compatible with ObsPy query system.<br> The structure includes HSPB but HSPB data is not there due to limited file space here (its publicly available eg in Orpheus). Other files are:<br> coordinates,<br> map<br> data availability chart<br> my presentation from ESC Malta with preliminary results<br> photos from field installation<br> data conditioning report Have fun. You can contact me via researchgate: https://www.researchgate.net/profile/Wojciech_Gajek
description: add later
DOI: 10.5281/zenodo.3603133
title: CLIC Calorimeter 3D images: Photon showers at Fixed Angle

description: Energy deposits from single-particle showers in the ECAL+HCAL calorimeters of the CLIC detector Simulation performed with GEANT4 (https://geant4.web.cern.ch) and DD4HEP software (https://dd4hep.web.cern.ch/dd4hep/) Photons entering the detector at variable energy and fixed direction (perpendicular to the ECAL inner surface) See https://arxiv.org/abs/1912.06794 for details
DOI: 10.17632/65kypkcyxf.1
title: Marine Aerosol Physico-chemical Properties at Mace Head during late Summer 2015

description: This dataset reports the results of in situ measurements of meteorological variables, aerosol chemical composition, particle number size distribution and ice nucleating particle (INP) number concentrations collected in late summer (August-September) 2015 at the Mace Head Research Station (53.33° N, 9.90 °W; 21m a.m.s.l; 300m from the waterline). Data from simultaneous measurements of size-scanned cloud condensation nuclei (CCN) can be accessed from the link: https://hal-meteofrance.archives-ouvertes.fr/meteo-01567780/file/MH_data_for_archive.zip. The dataset reports also satellite-retrieved sea surface chlorophyll-a concentration (CHL) data averaged over three selected oceanic regions in the North Atlantic Ocean domain, during the same period. This dataset is discussed in a manuscript titled "Linking Marine Biological Activity to Aerosol Chemical Composition and Cloud-Relevant Properties over the North Atlantic Ocean" by "Karam Mansour, Stefano Decesari, Maria Cristina Facchini, Franco Belosi, Marco Paglione, Silvia Sandrini, Marco Bellacicco, Salvatore Marullo, Rosalia Santoleri, Jurgita Ovadnevaite, Darius Ceburnis, Colin O'Dowd, Gregory Roberts, Kevin Sanchez, and Matteo Rinaldi", which is currently under review by Journal of Geophysical Research-Atmospheres.
DOI: 10.5281/zenodo.3603132
title: CLIC Calorimeter 3D images: Photon showers at Fixed Angle

description: Energy deposits from single-particle showers in the ECAL+HCAL calorimeters of the CLIC detector Simulation performed with GEANT4 (https://geant4.web.cern.ch) and DD4HEP software (https://dd4hep.web.cern.ch/dd4hep/) Photons entering the detector at variable energy and fixed direction (perpendicular to the ECAL inner surface) See https://arxiv.org/abs/1912.06794 for details
DOI: 10.17632/czkn9c4wk6.1
title: LTE KPI for data mining and machine learning

description: Scheduling procedures implemented in the wireless networks include a variety of workflows such as resource allocation, channel gain improvement and reduction in packet arrival delay. Among these techniques, the Long Term Evolution (LTE) scheduling is highly preferable due to its high speed of communication and less bandwidth consumption. The LTE assigns resources to the workflows based on the time and frequency domains. Normally, the information gathering prior to scheduling increases the processing time due to the verification of each attribute of the user. To solve this issue, parallel processing through data mining is employed in the recent research studies. The label can be assigned to the user attributes which contributes highly towards scheduling of time slots effectively. The label assignment and parallel processing through data mining concept reduces the delay and increases the throughput. Besides, the extraction of matched data from the library and the prediction of available channels with fewer dimensions are the major issues in the LTE scheduling. Traditionally, numerous approaches are developed for LTE scheduling by solving the problems related to data missing values and classification. Based on this, a powerful setup is created for data mining on handoff procedures in LTE communication. The data initially can be obtained from the network service providers, based on our process the data is taken for analysis. This dataset provides you the information on user handoff related data attributes for analysis.
DOI: 10.17632/ygfn2sbtt2.1
title: Web of Science- Jan. 7

description: 41 articles
DOI: 10.5281/zenodo.3603973
title: Philippine PISA Dataset

description: This provides the dataset for the Philippines' participation in PISA 2018.
DOI: 10.5281/zenodo.3603974
title: Philippine PISA Dataset

description: This provides the dataset for the Philippines' participation in PISA 2018.
DOI: 10.7910/dvn/zxc6xh/gl1erf
title: DCdensity.ado

description: :unav
DOI: 10.7910/dvn/zxc6xh/rmsnii
title: Figure.do

description: :unav
DOI: 10.17034/d6ea90ca-9bfd-479e-a39c-2ba9a93b6b53
title: Spatial biases in motion extrapolation for manual interception

description: Data and code for Reid, S. A., & Dessing, J. C. (2018). Spatial biases in motion extrapolation for manual interception. Journal of Experimental Psychology: Human Perception and Performance, 44(1), 38-52.
DOI: 10.7910/dvn/zxc6xh/9our3n
title: base_main.dta

description: :unav
DOI: 10.7910/dvn/zxc6xh/ckq2j6
title: Tables.do

description: :unav
DOI: 10.7910/dvn/zxc6xh/dxwhsj
title: Tables_appendix.do

description: :unav
DOI: 10.7910/dvn/zxc6xh/elatnx
title: README.txt

description: :unav
DOI: 10.7910/dvn/zxc6xh/ktsqag
title: base_neighbours.tab

description: :unav
DOI: 10.7910/dvn/zxc6xh/y6lwnt
title: Figures_appendix.do

description: :unav
DOI: 10.17632/64wgnk2svg.3
title: Basic data of infrastructure externalities

description: The main content of "Basic data of infrastructure externalities" is the raw data used in the literature review.