cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17903/fk2/t1p887
title: Flash Ευρωβαρόμετρο 283 (Επιχειρηματικότητα εντός και εκτός Ευρωπαϊκής Ένωσης)

description: Επιχειρηματικότητα εντός και εκτός Ευρωπαϊκής Ένωσης. Θέματα: επιλογή είδους απασχόλησης (υπάλληλος, αυτοαπασχολούμενος/η κτλ.) και λόγοι προτίμησης. Ρόλος της σχολικής εκπαίδευσης στην ανάπτυξη χαρακτηριστικών, δεξιοτήτων και γνώσεων που συνδέονται με την επιχειρηματικότητα και τη λειτουργία μιας επιχείρησης. Πρόθεση σε παρόντα χρόνο ή κατά το παρελθόν για άνοιγμα επιχείρησης και οι λόγοι που συνέβαλαν στην ανάληψη της επιχειρηματικής πρωτοβουλίας. Γνώμη για συγκεκριμένες επαγγελματικές κατηγορίες: επιχειρηματίες, δημόσιους υπαλλήλους, διευθυντικά στελέχη εταιρειών, τραπεζών κ.ά. και πώς θα επένδυαν ένα χρηματικό ποσόν 100.000 ευρώ, είδος συμβουλών που θα έδιναν σε φίλους-νέους επιχειρηματίες καθώς και έκφραση γνώμης για σειρά ζητημάτων που άπτονται της έναρξης επιχειρηματικής δραστηριότητας στη χώρα. Δημογραφικά στοιχεία: Ηλικία, φύλο, κατάσταση απασχόλησης και επαγγελματική κατάσταση, ηλικία ολοκλήρωσης σπουδών, σύνθεση νοικοκυριού, περιοχή κατοικίας και βαθμός αστικοποίησης, κατάσταση απασχόλησης και επαγγελματική κατάσταση γονέων, εισόδημα νοικοκυριού, προσωπική άποψη για τη ζωή και τα ρίσκα.
DOI: 10.17903/fk2/54scb8
title: Ευρωπαϊκή Κοινωνική Έρευνα, 4ος γύρος (Ελλάδα)

description: Αντικείμενο της Ευρωπαϊκής Κοινωνικής Έρευνας είναι η αυστηρότερη δυνατή συγκριτική προσέγγιση των στάσεων των Ευρωπαίων πολιτών σε μια σειρά απο κοινωνικά, πολιτικά και πολιτισμικά ζητήματα, εξαιρετικής σημασίας για τον διαμορφούμενο "ευρωπαϊκό χώρο". Στόχος της Ευρωπαϊκής Κοινωνικής Έρευνας είναι η συστηματική κατανόηση και ερμηνεία των γοργών μεταβολών που χαρακτηρίζουν αυτές τις στάσεις, προκειμένου ο σχεδιασμός και η εφαρμογή των πολιτικών της Ευρωπαϊκής Ένωσης να λαμβάνουν υπόψη τις τάσεις που διαμορφώνονται στους κόλπους των πολιτών της.
DOI: 10.5281/zenodo.5803345
title: Datasets for the paper "ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells"

description: In this archive, you can find all the data used in the paper "ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells". <strong>sklearn_full_cells.csv</strong> is the dataset from the paper of Pimentel et al. filtered with only Data Science notebooks.<br> <strong>complete.csv</strong> is the dataset obtained after the full run of ReSplit on the dataset: both merging and splitting.<br> <strong>split.csv</strong> is the dataset obtained after running only the splitting part of our dataset.<br> <strong>merged.csv</strong> is the dataset obtained after running only the merging part of our dataset.<br> <strong>duplicates_id.csv</strong> contains the IDs of the duplicate notebooks for deduplication.<br> <strong>changes.csv</strong> contains the IDs of the datasets, as well as their length before and after running ReSplit.<br> <strong>survey.csv</strong> is the table with the results of the survey. In the dataset CSVs, each line is a cell that has a unique identifier and an identifier of the corresonding notebook.
DOI: 10.5281/zenodo.5803344
title: Datasets for the paper "ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells"

description: In this archive, you can find all the data used in the paper "ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells". <strong>sklearn_full_cells.csv</strong> is the dataset from the paper of Pimentel et al. filtered with only Data Science notebooks.<br> <strong>complete.csv</strong> is the dataset obtained after the full run of ReSplit on the dataset: both merging and splitting.<br> <strong>split.csv</strong> is the dataset obtained after running only the splitting part of our dataset.<br> <strong>merged.csv</strong> is the dataset obtained after running only the merging part of our dataset.<br> <strong>duplicates_id.csv</strong> contains the IDs of the duplicate notebooks for deduplication.<br> <strong>changes.csv</strong> contains the IDs of the datasets, as well as their length before and after running ReSplit.<br> <strong>survey.csv</strong> is the table with the results of the survey. In the dataset CSVs, each line is a cell that has a unique identifier and an identifier of the corresonding notebook.
DOI: 10.25345/c50p25
title: MassIVE MSV000088614 - Leptadenia reticulata plant leaf extract
title: Leptadenia reticulata plant leaf extract analysis based on their solvents used for extraction
DOI: 10.34740/kaggle/dsv/2965506
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6084/m9.figshare.16920253
title: Tables

description: Table 1Table 2Table 3
DOI: 10.6084/m9.figshare.16920250
title: CONSORT Checklist

description: CONSORT 2010 Checklist
DOI: 10.6084/m9.figshare.16920250.v1
title: CONSORT Checklist

description: CONSORT 2010 Checklist
DOI: 10.5281/zenodo.5802352
title: Speckle image stacks acquired on human skin with a high-speed camera

description: These datasets all consist of stacks of images of various body parts of of the same 50-year-old Caucasian male subject. For each acquisition, the skin was first illuminated with a near-infrared LASER (wavelength 785 nm). Then, the skin was filmed with a Phantom VEO 710L camera, with an acquisition rate of 2000 to 30,000 Hz. Datasets <strong>WRIST_1</strong>, <strong>WRIST_2</strong> and <strong>WRIST_3</strong> were acquired by imaging the anterior surface of the left wrist, with respective acquisition frequencies of 3000, 2000 and 10,000 Hz. Dataset <strong>FINGERS</strong> consists of images of the end of two fingers of the left hand. It was acquired at 30,000 Hz. Dataset <strong>EAR</strong> consists of images of the right ear. It was acquired at 2000 Hz. Dataset <strong>PALM</strong> consists of images of the palm of the left hand, which was gently scraped beforehand to trigger a superficial inflammation and draw a smiley face. It was then filmed with an acquisition frequency of 10,000 Hz. Each dataset is stored in a HDF5 file. The data array is stored as <strong>data </strong>at the root of the tree structure. Attributes <strong>T_exp </strong>and <strong>f_acq</strong> provide respectively the exposure time (in microseconds) and the acquisition rate (in Hertz) of the dataset. The script <strong>test.py </strong>shows how data can be accessed through Python and the library h5py. It can be used as follows: <pre><code class="language-bash">python test.py filename.h5</code></pre> All these datasets are used and referenced in our companion article "Dynamic speckle imaging of human skin vasculature with a high-speed camera" (to be published).
DOI: 10.5281/zenodo.5802351
title: Speckle image stacks acquired on human skin with a high-speed camera

description: These datasets all consist of stacks of images of various body parts of of the same 50-year-old Caucasian male subject. For each acquisition, the skin was first illuminated with a near-infrared LASER (wavelength 785 nm). Then, the skin was filmed with a Phantom VEO 710L camera, with an acquisition rate of 2000 to 30,000 Hz. Datasets <strong>WRIST_1</strong>, <strong>WRIST_2</strong> and <strong>WRIST_3</strong> were acquired by imaging the anterior surface of the left wrist, with respective acquisition frequencies of 3000, 2000 and 10,000 Hz. Dataset <strong>FINGERS</strong> consists of images of the end of two fingers of the left hand. It was acquired at 30,000 Hz. Dataset <strong>EAR</strong> consists of images of the right ear. It was acquired at 2000 Hz. Dataset <strong>PALM</strong> consists of images of the palm of the left hand, which was gently scraped beforehand to trigger a superficial inflammation and draw a smiley face. It was then filmed with an acquisition frequency of 10,000 Hz. Each dataset is stored in a HDF5 file. The data array is stored as <strong>data </strong>at the root of the tree structure. Attributes <strong>T_exp </strong>and <strong>f_acq</strong> provide respectively the exposure time (in microseconds) and the acquisition rate (in Hertz) of the dataset. The script <strong>test.py </strong>shows how data can be accessed through Python and the library h5py. It can be used as follows: <pre><code class="language-bash">python test.py filename.h5</code></pre> All these datasets are used and referenced in our companion article "Dynamic speckle imaging of human skin vasculature with a high-speed camera" (to be published).
DOI: 10.6084/m9.figshare.17526110
title: Data—The Economic Costs of Terrorism: Evidence from Xinjiang Uygur Autonomous region in China

description: These are the datasets for the paper <i>The Economic Costs of Terrorism: Evidence from Xinjiang Uygur Autonomous region in China</i>
DOI: 10.6084/m9.figshare.17526110.v1
title: Data—The Economic Costs of Terrorism: Evidence from Xinjiang Uygur Autonomous region in China

description: These are the datasets for the paper <i>The Economic Costs of Terrorism: Evidence from Xinjiang Uygur Autonomous region in China</i>
DOI: 10.5517/ccdc.csd.cc27frjz
title: CCDC 2068801: Experimental Crystal Structure Determination

description: Related Article: Shubhadeep Chandra, Ola Kelm, Uta Albold, Arijit Singha Hazari, Damijana Urankar, Janez Košmrlj, Biprajit Sarkar|2021|Organometallics|40|3907|doi:10.1021/acs.organomet.1c00468
DOI: 10.5517/ccdc.csd.cc27frhy
title: CCDC 2068800: Experimental Crystal Structure Determination

description: Related Article: Shubhadeep Chandra, Ola Kelm, Uta Albold, Arijit Singha Hazari, Damijana Urankar, Janez Košmrlj, Biprajit Sarkar|2021|Organometallics|40|3907|doi:10.1021/acs.organomet.1c00468
DOI: 10.5517/ccdc.csd.cc27frk0
title: CCDC 2068802: Experimental Crystal Structure Determination

description: Related Article: Shubhadeep Chandra, Ola Kelm, Uta Albold, Arijit Singha Hazari, Damijana Urankar, Janez Košmrlj, Biprajit Sarkar|2021|Organometallics|40|3907|doi:10.1021/acs.organomet.1c00468
DOI: 10.6084/m9.figshare.14248856
title: Antidepressants and related psychoactive drugs reduce viral infection by SARS-CoV-2 and fluoxetine show antiviral activity against the novel variants

description: Dataset submitte for publication.
DOI: 10.6084/m9.figshare.14248856.v2
title: Antidepressants and related psychoactive drugs reduce viral infection by SARS-CoV-2 and fluoxetine show antiviral activity against the novel variants

description: Dataset submitte for publication.
DOI: 10.6084/m9.figshare.14248856.v1
title: Antidepressants and related psychoactive drugs reduce viral infection by SARS-CoV-2 and fluoxetine show antiviral activity against the novel variants

description: Dataset submitte for publication.
DOI: 10.5517/ccdc.csd.cc28hhx6
title: CCDC 2100278: Experimental Crystal Structure Determination

description: Related Article: A. Alka, Kishor G. Thorat, Mangalampalli Ravikanth|2021|J.Org.Chem.|86|17640|doi:10.1021/acs.joc.1c01873
DOI: 10.5517/ccdc.csd.cc28hj0b
title: CCDC 2100281: Experimental Crystal Structure Determination

description: Related Article: A. Alka, Kishor G. Thorat, Mangalampalli Ravikanth|2021|J.Org.Chem.|86|17640|doi:10.1021/acs.joc.1c01873
DOI: 10.5517/ccdc.csd.cc28hj4g
title: CCDC 2100285: Experimental Crystal Structure Determination

description: Related Article: A. Alka, Kishor G. Thorat, Mangalampalli Ravikanth|2021|J.Org.Chem.|86|17640|doi:10.1021/acs.joc.1c01873
DOI: 10.5517/ccdc.csd.cc28jh4g
title: CCDC 2101215: Experimental Crystal Structure Determination

description: Related Article: A. Alka, Kishor G. Thorat, Mangalampalli Ravikanth|2021|J.Org.Chem.|86|17640|doi:10.1021/acs.joc.1c01873
DOI: 10.5281/zenodo.5803416
title: Falco femoralis decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803415
title: Falco femoralis decontaminated FSCR

description: .
DOI: 10.18462/iir.cryo.2021.0028
title: Efficient recuperative 4-quadrant power supply for superconducting solenoids.
DOI: 10.6084/m9.figshare.16920196
title: Fall risk raw data

description: Fall risk data
DOI: 10.18462/iir.cryo.2021.0027
title: Cooling down and parameters during the first session of the booster synchrotron NICA complex.
DOI: 10.18462/iir.cryo.2021.0024
title: Selection criteria for compact cryocoolers.
DOI: 10.18462/iir.cryo.2021.0023
title: Analysis of non-stationary heat transfer in a cryogenic vessel with built-in assembly.
DOI: 10.6084/m9.figshare.16920190.v1
title: HRQoL raw data

description: HRQoL raw data
DOI: 10.6084/m9.figshare.16920190
title: HRQoL raw data

description: HRQoL raw data
DOI: 10.18462/iir.cryo.2021.0022
title: Freezers family for vaccines and cell materials storage within the temperature range of -90 ºC to -150 ºC. Research and development features.
DOI: 10.18462/iir.cryo.2021.0021
title: Cooling of long superconducting cables with liquid nitrogen.
DOI: 10.18462/iir.cryo.2021.0020
title: Liquid nitrogen and preservation of genetic material of biological origin. Historical overview.
DOI: 10.18462/iir.cryo.2021.0019
title: Analysis of temperature characteristics of cryogenic target based on a directional infrared photothermal-coupling numerical model.
DOI: 10.18462/iir.cryo.2021.0018
title: Numerical investigation on precipitation characteristics of slush hydrogen in cryogenic container.
DOI: 10.18462/iir.cryo.2021.0016
title: The first tests on the vertical cryostat Gersemi with the liquid insert at FREIA laboratory.
DOI: 10.18462/iir.cryo.2021.0012
title: Operating mode of Joule–Thomson microchannel argon cryoprobe for precision cryoablation.
DOI: 10.18462/iir.cryo.2021.0011
title: Experimental study of prolonged partial body cryotherapy.
DOI: 10.18462/iir.cryo.2021.0010
title: Numerical estimation of piston´s overleaks impact on microcryocooler efficiency.
DOI: 10.6084/m9.figshare.16920184
title: Bone markers raw data

description: Bone markers raw data
DOI: 10.6084/m9.figshare.16920184.v1
title: Bone markers raw data

description: Bone markers raw data
DOI: 10.18462/iir.cryo.2021.0009
title: Cryogenic performance of a conduction cooled cryostat for hydrogen isotopes separation experiments at low temperature.
DOI: 10.18462/iir.cryo.2021.0008
title: Steady state mathematical model for a cryogenic loop heat pipe with coherent porous silicon (CPS) wick in the flat plate evaporator.
DOI: 10.18462/iir.cryo.2021.0007
title: Orientation dependence of cooling performance in tilted 4 K pulse tube coolers.
DOI: 10.6084/m9.figshare.16920163
title: BMD lumbar spine raw data

description: BMD lumbar spine raw data
DOI: 10.6084/m9.figshare.16920163.v1
title: BMD lumbar spine raw data

description: BMD lumbar spine raw data
DOI: 10.6084/m9.figshare.16920151
title: BMD total hip raw data

description: BMD total hip raw data
DOI: 10.6084/m9.figshare.16920151.v1
title: BMD total hip raw data

description: BMD total hip raw data
DOI: 10.6084/m9.figshare.16920130
title: Age, height and weight raw data

description: Age, height and weight raw data
DOI: 10.6084/m9.figshare.17468546
title: Data availability-BIOCOMPATIBILITY.xlsx

description: Two ratios of HDDMA/TEGDMA resin were researched: exp-1 (70/30 wt%) and exp-2 (50/50 wt%) with two <i>bis</i>-GMA resin control groups (<i>bis</i>-GMA/MMA and <i>bis</i>-GMA/TEGDMA resins, both 70/30 wt%). E-glass fibers were embedded into the resins to prepare FRCs specimens. Biocompatibility was assessed for cytotoviability and biofilm formation with <i>Streptococcus mutans</i>, <i>Streptococcus sanguinis</i>, <i>Enterococcus faecalis, </i>and<i> Candida albicans</i>. Biomechanical properties were evaluated for flexural strength and hardness (24 h, water storage 1 and 28 days), water sorption (1, 7, 14, and 28 days), contact angle, and surface roughness.
DOI: 10.6084/m9.figshare.17468546.v1
title: Data availability-1.xlsx

description: Two ratios of HDDMA/TEGDMA resin were researched: exp-1 (70/30 wt%) and exp-2 (50/50 wt%) with two <i>bis</i>-GMA resin control groups (<i>bis</i>-GMA/MMA and <i>bis</i>-GMA/TEGDMA resins, both 70/30 wt%). E-glass fibers were embedded into the resins to prepare FRCs specimens. Biocompatibility was assessed for cytotoviability and biofilm formation with <i>Streptococcus mutans</i>, <i>Streptococcus sanguinis</i>, <i>Enterococcus faecalis, </i>and<i> Candida albicans</i>. Biomechanical properties were evaluated for flexural strength and hardness (24 h, water storage 1 and 28 days), water sorption (1, 7, 14, and 28 days), contact angle, and surface roughness.
DOI: 10.5281/zenodo.5803411
title: Falco fasciinucha decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803410
title: Falco fasciinucha decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803440
title: Gadus macrocephalus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803439
title: Gadus macrocephalus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803458
title: Supplementary Tables

description: Supplementary Tables for DIQ<strong> </strong>
DOI: 10.5517/ccdc.csd.cc28l7ns
title: CCDC 2102905: Experimental Crystal Structure Determination

description: Related Article: Greta K. Wisofsky, Katherine Rojales, Xiaojun Su, Tyler A. Bartholome, Andrew Molino, Aishvaryadeep Kaur, David J. D. Wilson, Jason L. Dutton, Caleb D. Martin|2021|Inorg.Chem.|60|18981|doi:10.1021/acs.inorgchem.1c02800
DOI: 10.5517/ccdc.csd.cc28l7pt
title: CCDC 2102906: Experimental Crystal Structure Determination

description: Related Article: Greta K. Wisofsky, Katherine Rojales, Xiaojun Su, Tyler A. Bartholome, Andrew Molino, Aishvaryadeep Kaur, David J. D. Wilson, Jason L. Dutton, Caleb D. Martin|2021|Inorg.Chem.|60|18981|doi:10.1021/acs.inorgchem.1c02800
DOI: 10.5517/ccdc.csd.cc28l7qv
title: CCDC 2102907: Experimental Crystal Structure Determination

description: Related Article: Greta K. Wisofsky, Katherine Rojales, Xiaojun Su, Tyler A. Bartholome, Andrew Molino, Aishvaryadeep Kaur, David J. D. Wilson, Jason L. Dutton, Caleb D. Martin|2021|Inorg.Chem.|60|18981|doi:10.1021/acs.inorgchem.1c02800
DOI: 10.5517/ccdc.csd.cc28l7rw
title: CCDC 2102908: Experimental Crystal Structure Determination

description: Related Article: Greta K. Wisofsky, Katherine Rojales, Xiaojun Su, Tyler A. Bartholome, Andrew Molino, Aishvaryadeep Kaur, David J. D. Wilson, Jason L. Dutton, Caleb D. Martin|2021|Inorg.Chem.|60|18981|doi:10.1021/acs.inorgchem.1c02800
DOI: 10.5517/ccdc.csd.cc28l7sx
title: CCDC 2102909: Experimental Crystal Structure Determination

description: Related Article: Greta K. Wisofsky, Katherine Rojales, Xiaojun Su, Tyler A. Bartholome, Andrew Molino, Aishvaryadeep Kaur, David J. D. Wilson, Jason L. Dutton, Caleb D. Martin|2021|Inorg.Chem.|60|18981|doi:10.1021/acs.inorgchem.1c02800
DOI: 10.5517/ccdc.csd.cc28l7ty
title: CCDC 2102910: Experimental Crystal Structure Determination

description: Related Article: Greta K. Wisofsky, Katherine Rojales, Xiaojun Su, Tyler A. Bartholome, Andrew Molino, Aishvaryadeep Kaur, David J. D. Wilson, Jason L. Dutton, Caleb D. Martin|2021|Inorg.Chem.|60|18981|doi:10.1021/acs.inorgchem.1c02800
DOI: 10.5517/ccdc.csd.cc28l7vz
title: CCDC 2102911: Experimental Crystal Structure Determination

description: Related Article: Greta K. Wisofsky, Katherine Rojales, Xiaojun Su, Tyler A. Bartholome, Andrew Molino, Aishvaryadeep Kaur, David J. D. Wilson, Jason L. Dutton, Caleb D. Martin|2021|Inorg.Chem.|60|18981|doi:10.1021/acs.inorgchem.1c02800
DOI: 10.5517/ccdc.csd.cc28y6gx
title: CCDC 2113439: Experimental Crystal Structure Determination

description: Related Article: Shaoqiang Yang, Chenglong Chen, Jie Chen, Chao Li|2021|J.Am.Chem.Soc.|143|21258|doi:10.1021/jacs.1c11477
DOI: 10.5517/ccdc.csd.cc28y6hy
title: CCDC 2113440: Experimental Crystal Structure Determination

description: Related Article: Shaoqiang Yang, Chenglong Chen, Jie Chen, Chao Li|2021|J.Am.Chem.Soc.|143|21258|doi:10.1021/jacs.1c11477
DOI: 10.5517/ccdc.csd.cc28y6jz
title: CCDC 2113441: Experimental Crystal Structure Determination

description: Related Article: Shaoqiang Yang, Chenglong Chen, Jie Chen, Chao Li|2021|J.Am.Chem.Soc.|143|21258|doi:10.1021/jacs.1c11477
DOI: 10.5517/ccdc.csd.cc285m8c
title: CCDC 2090772: Experimental Crystal Structure Determination

description: Related Article: Fei Fang, Jia-Xin Kang, Cong-Qiao Xu, Jiarui Chang, Jie Zhang, Shujun Li, Xuenian Chen|2021|Inorg.Chem.|60|18924|doi:10.1021/acs.inorgchem.1c02722
DOI: 10.5517/ccdc.csd.cc285m9d
title: CCDC 2090773: Experimental Crystal Structure Determination

description: Related Article: Fei Fang, Jia-Xin Kang, Cong-Qiao Xu, Jiarui Chang, Jie Zhang, Shujun Li, Xuenian Chen|2021|Inorg.Chem.|60|18924|doi:10.1021/acs.inorgchem.1c02722
DOI: 10.5281/zenodo.5715195
title: Dataset from "Monte Carlo-Discrete Dislocation Dynamics: A technique for studying the formation and evolution of dislocation structures"

description: Raw datasets used in the manuscript: N. Deka and R. B. Sills, Monte Carlo-Discrete Dislocation Dynamics: A technique for studying the formation and evolution of dislocation structures, Modelling and Simulation in Materials Science and Engineering, 2022 doi: 10.1088/1361-651X/ac41a2 See Readme.txt file for details.
DOI: 10.5281/zenodo.5715194
title: Dataset from "Monte Carlo-Discrete Dislocation Dynamics: A technique for studying the formation and evolution of dislocation structures"

description: Raw datasets used in the manuscript: N. Deka and R. B. Sills, Monte Carlo-Discrete Dislocation Dynamics: A technique for studying the formation and evolution of dislocation structures, Modelling and Simulation in Materials Science and Engineering, 2022 doi: 10.1088/1361-651X/ac41a2 See Readme.txt file for details.
DOI: 10.25318/1810002201-eng
title: Infrastructure construction price index, annual, inactive

description: Infrastructure construction price index (ICPI). Annual data are available from 2010. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2010=100).
DOI: 10.25318/1810002201-fra
title: Indice de prix de la construction des infrastructures, annuel, inactif

description: Indice de prix de la construction des infrastructures (IPCI). Les données annuelles sont disponibles à partir de 2010. Le tableau présente les données de la période de référence la plus récente et des quatre dernières périodes. La période de base de l’indice est (2010=100).