cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3578467
title: Enzymes from the BRENDA and CAZy databases annotated with organism growth temperatures and predicted Topt

description: This repo is an updated version of repo <strong>Gang Li, & Martin KM Engqvist. (2019). Enzymes from the BRENDA database annotated with organism growth temperatures and predicted <em>T</em><sub>opt</sub> (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.2539114. </strong> Experimental as well as predicted organism growth temperatures were used to annotate enzymes from the BRENDA database (doi: 10.1093/nar/gky1048, https://www.brenda-enzymes.org) version 2018.2 (July 2018) and CAZy database (http://www.cazy.org/). An updated machine learning model was applied to predict the optimal functional temperature of enzymes from BRENDA and CAZy. There are four files in this repo: 1. 'annotated_brenda.tsv' is a tab-seperated file that contains the annotated enzymes from BRENDA. There are 9 columns in the file: index column; "ec", EC number; "uniprot_id", protein id in Uniprot database; "domain", the domain of life (superkingdom), either Archaea, Bacteria, or Eukarya; "organism", species name; "ogt", optimal growth temperature of the organism; "ogt_note", whether the experimental or predicted ogt is used; "topt", the optimal functional temperature of the enzyme; "topt_note", whether the experimental or predicted topt is used. 2. 'annotated_cazy.tsv' is a tab-seperated file that contains the annotated enzymes from CAZy. There are 12 columns in the file: index column; "family", CAZy family id; "genbank", genbank id; "Protein Name", the protein name from CAZy database; "ec", EC number; "organism", strain name; "uniprot_id", protein id in Uniprot database; "PDB/3D", structure id in PDB database; "ogt", optimal growth temperature of the organism; "ogt_note", whether the experimental or predicted ogt is used; "topt", the optimal functional temperature of the enzyme; "topt_note", whether the experimental or predicted topt is used. 3. 'brenda.sql', which is a SQLite3 database version of 'annotated_brenda.tsv', with an additional column of enzyme sequences. 4. 'cazy.sql', which is a SQLite3 database version of 'annotated_cazy.tsv'', with an additional column of enzyme sequences. The SQLite3 databases are for the Tome tool (https://github.com/EngqvistLab/Tome), version 2.0.
DOI: 10.5281/zenodo.3578468
title: Enzymes from the BRENDA and CAZy databases annotated with organism growth temperatures and predicted Topt

description: This repo is an updated version of repo <strong>Gang Li, & Martin KM Engqvist. (2019). Enzymes from the BRENDA database annotated with organism growth temperatures and predicted <em>T</em><sub>opt</sub> (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.2539114. </strong> Experimental as well as predicted organism growth temperatures were used to annotate enzymes from the BRENDA database (doi: 10.1093/nar/gky1048, https://www.brenda-enzymes.org) version 2018.2 (July 2018) and CAZy database (http://www.cazy.org/). An updated machine learning model was applied to predict the optimal functional temperature of enzymes from BRENDA and CAZy. There are four files in this repo: 1. 'annotated_brenda.tsv' is a tab-seperated file that contains the annotated enzymes from BRENDA. There are 9 columns in the file: index column; "ec", EC number; "uniprot_id", protein id in Uniprot database; "domain", the domain of life (superkingdom), either Archaea, Bacteria, or Eukarya; "organism", species name; "ogt", optimal growth temperature of the organism; "ogt_note", whether the experimental or predicted ogt is used; "topt", the optimal functional temperature of the enzyme; "topt_note", whether the experimental or predicted topt is used. 2. 'annotated_cazy.tsv' is a tab-seperated file that contains the annotated enzymes from CAZy. There are 12 columns in the file: index column; "family", CAZy family id; "genbank", genbank id; "Protein Name", the protein name from CAZy database; "ec", EC number; "organism", strain name; "uniprot_id", protein id in Uniprot database; "PDB/3D", structure id in PDB database; "ogt", optimal growth temperature of the organism; "ogt_note", whether the experimental or predicted ogt is used; "topt", the optimal functional temperature of the enzyme; "topt_note", whether the experimental or predicted topt is used. 3. 'brenda.sql', which is a SQLite3 database version of 'annotated_brenda.tsv', with an additional column of enzyme sequences. 4. 'cazy.sql', which is a SQLite3 database version of 'annotated_cazy.tsv'', with an additional column of enzyme sequences. The SQLite3 databases are for the Tome tool (https://github.com/EngqvistLab/Tome), version 2.0.
DOI: 10.6073/pasta/837b76a728a891881fa64ce5f7a5125b
title: CAP LTER weather stations at Papago Park and Lost Dutchman State Park in the greater Phoenix metropolitan area, ongoing since 2010

description: The CAP LTER maintains two 10-m micrometeorological stations in the greater Phoenix metropolitan area, including at Lost Dutchman State Park and near the Desert Botanical Garden at Papago Park. The local terrain at both sites is flat or gently sloping Sonoran desert, and the vegetation canopy consists of patchy coverage of desert shrubs and trees. The dominant vegetation species include bursage (Ambrosia deltoidea) and creosote bush (Larrea tridentata), while minor species include palo verde (Parkinsonia microphylla) and saguaro cactus (Carnegiea gigantea). Wind speed and direction, incoming solar radiation, air temperature, relative humidity, and precipitation (see table below) have been monitored nearly continuously since the fall of 2010. Each variable is measured every 5 seconds and the average (or total for precipitation and total solar radiation) is saved to a data logger every 10 minutes.
DOI: 10.7910/dvn/nwqghu/hxxssp
title: Methane_flux_Permian_EIME.nc

description: This file contains a gridded emission Inventory based on extrapolation of site-level emissions (EI_ME) for the Permian Basin (27-36N, 108-98W). The spatial resolution is 0.25 x 0.3125 grid. See our paper for detailed information. See also EDF New Mexico Oil & Gas Data Project. https://www.edf.org/nm-oil-gas/ Here is a brief description on how EI_ME is constructed: 1. Estimate basin-level oil/gas-related emissions: a) Basin-level oil/gas upstream emissions based on extrapolation of site-level measurements; b) basin-level oil/gas midstream emissions based on Drillinginfo midstream dataset; 2. Spatial disaggregation of oil/gas-related emissions based on spatial distribution of gas production; The emisch4_og field represents oil/gas-related emissions. The emisch4_anth field represents the sum of all anthropogenic emissions. Non-oil/gas anthropogenic sources are taken directly from Maasakkers et al. (2016). Reference: Yuzhong Zhang, Ritesh Gautam, Sudhanshu Pandey, Mark Omara, Joannes D. Maasakkers, Pankaj Sadavarte, David Lyon, Hannah Nesser, Melissa P. Sulprizio, Daniel J. Varon, Ruixiong Zhang, Sander Houweling, Daniel Zavala-Araiza, Ramon A. Alvarez, Alba Lorente, Steven P. Hamburg, Ilse Aben, Daniel J. Jacob (2020). Quantifying methane emissions from the largest oil producing basin in the U.S. from space, Science Advances, in review. Primary creator of EI_ME: Mark Omara (EDF)
DOI: 10.7910/dvn/nwqghu/shjktv
title: Methane_flux_Permian_EIBU.nc

description: This file contains the gridded emission inventory based on bottom-up information (EI_BU) for the Permian Basin (27-36N, 108-98W) . The spatial resolution of the data is 0.25 x 0.3125 degree. Here is a brief description on how EI_BU is constructed. Please refer to our paper for detailed information. 1. We start from gridded EPA methane emission inventory (Maasakkers et al., ES&T 2016), which is for year 2012; 2. We extrapolate oil/gas production emissions to 2018 using 2018 Drillinginfo data (well count, well completion, and production) to reflect changes in oil/gas emission activity; 3. We further scale subsectorial production emissions using the ratio between GHGI (2019) and GHGI (2016) for 2013 emissions to account for changes in national average emission factor. The emisch4_og field represents oil/gas-related emissions derived above. The emisch4_anth field represents the sum of all anthropogenic emissions. Non-oil/gas anthropogenic sources are taken directly from Maasakkers et al. (2016). Reference: Yuzhong Zhang, Ritesh Gautam, Sudhanshu Pandey, Mark Omara, Joannes D. Maasakkers, Pankaj Sadavarte, David Lyon, Hannah Nesser, Melissa P. Sulprizio, Daniel J. Varon, Ruixiong Zhang, Sander Houweling, Daniel Zavala-Araiza, Ramon A. Alvarez, Alba Lorente, Steven P. Hamburg, Ilse Aben, Daniel J. Jacob (2020). Quantifying methane emissions from the largest oil producing basin in the U.S. from space, Science Advances, in review. Primary creator of EI_BU: Joannes D. Maasakkers (SRON)
DOI: 10.7910/dvn/nwqghu/u2g7wd
title: Methane_flux_Permian_Posterior.nc

description: This file contains posterior estimates for methane emissions from an inverse analysis of TROPOMI observations over the Permian Basin (27-36N, 108-98W). TROPOMI XCH4 retrievals from May 2018 to March 2019 are used for the inversion. The inversion is performed with the nested version of GEOS-Chem over North America with 0.25 x 0.3125, using EI_BU as the prior emission inventory. See our paper for detailed information. Note that the inversion algorithm employed here may result in small negative numbers for methane flux. Reference: Yuzhong Zhang, Ritesh Gautam, Sudhanshu Pandey, Mark Omara, Joannes D. Maasakkers, Pankaj Sadavarte, David Lyon, Hannah Nesser, Melissa P. Sulprizio, Daniel J. Varon, Ruixiong Zhang, Sander Houweling, Daniel Zavala-Araiza, Ramon A. Alvarez, Alba Lorente, Steven P. Hamburg, Ilse Aben, Daniel J. Jacob (2020). Quantifying methane emissions from the largest oil producing basin in the U.S. from space, Science Advances, in review. Primary creator of the posterior flux: Yuzhong Zhang (Harvard)
DOI: 10.5286/isis.e.rb2000052-2
title: Elucidation of dynamic structural characteristics of γ-Na3PS4 plastic crystal through neutron-PDF

description: We aim to further clarify the atomic scale structure of a novel phase of the Na3PS4 solid ion conductor. This phase appears to possess ideal properties to be used as a solid electrolyte for applications such as next-generation batteries. These properties include superionic, liquid-like mobility of Na+ ions with extremely low resistance while maintaining a solid nature that can lead to solid-state batteries with increased safety and performance. Understanding the intricacies of this material can lead to fundamental advances in materials science as well as practical breakthroughs in battery technology.
DOI: 10.5519/qd.sgrma06l
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (512 records)
DOI: 10.6073/pasta/2e39f35a792ced2d63271143d8afc011
title: Time-series of high-frequency profiles of fluorescence-based phytoplankton spectral groups in Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2014-2019

description: Depth profiles of fluorescence-based phytoplankton biomass were sampled using a bbe Moldaenke FluoroProbe from 2014 to 2019 in five drinking water reservoirs in southwestern Virginia, USA. These reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the Town of Pulaski, Virginia. The dataset consists of depth profiles of fluorescence-based phytoplankton biomass measured at the deepest site of each reservoir adjacent to the dam, except in Falling Creek Reservoir, where depth profiles were also taken at four upstream sites ranging from the riverine to the lacustrine zone. Casts were taken approximately weekly from May-October and monthly from November-April. Casts were collected at Beaverdam and Falling Creek Reservoirs during all years (2014-2019); casts were collected at Carvins Cove Reservoir during 2014-2016 and 2018-2019; casts were collected at Spring Hollow Reservoir during 2014-2016 and 2019; and casts were collected at Gatewood Reservoir in 2015-2016.
DOI: 10.5281/zenodo.3560337
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Tassell, Sarah, https://orcid.org/0000-0002-8083-3111. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.6073/pasta/ecb5eeb00620b211b0a756ffe602a83e
title: Manually-collected discharge data for multiple inflow tributaries entering Falling Creek Reservoir and Beaverdam Reservoir, Vinton, Virginia, USA in 2019

description: Discharge rates at five inflow streams into Falling Creek Reservoir (Vinton, Virginia, USA) and Beaverdam Reservoir (Vinton, Virginia, USA) were measured manually using multiple methods in 2019. Falling Creek Reservoir and Beaverdam Reservoir are owned and operated by the Western Virginia Water Authority as primary and secondary drinking water sources, respectively, for Roanoke, Virginia, and this dataset is used for creating a water budget for the two reservoirs. The dataset consists of discharge rates calculated using one of three methods: propeller flowmate, salt injection, or velocity float method. Data were collected weekly to monthly from February through October 2019. References: Gordon, N.D., T.A. McMahon, and B.L. Finlayson. 2004. Stream Hydrology: an Introduction for Ecologists, 2nd edition. John Wiley & Sons, Inc., New York.
DOI: 10.7910/dvn/1y17sg/l1cdn1
title: S1_raw_images.pdf

description: Original, uncropped and minimally adjusted images supporting all blot and gel results reported in the submitted Plos One article title: "Extracellular vesicles of U937 macrophage cell line infected with DENV-2 induce activation in endothelial cells EA.hy926", Manuscript PONE-D-18-36258.
DOI: 10.17632/h84459c2t6.1
title: Data for: Long-lived localized magmatism in eastern Borborema Province (NE Brazil): Implications for tectonic setting, heat sources, and lithospheric reworking

description: Geochemical and geochronological data
DOI: 10.25345/c5310s
title: MassIVE MSV000084697 - GM_myriosin_XML_MeOHextraction_secondattempt
title: Myriocin treated tumors extracted with MeOH_XML files
DOI: 10.6073/pasta/f1a509f271ddf8d9c6035ce048e0de28
title: Manually-collected discharge data for multiple inflow tributaries entering Falling Creek Reservoir and Beaverdam Reservoir, Vinton, Virginia, USA in 2019

description: Discharge rates at five inflow streams into Falling Creek Reservoir (Vinton, Virginia, USA) and Beaverdam Reservoir (Vinton, Virginia, USA) were measured manually using multiple methods in 2019. Falling Creek Reservoir and Beaverdam Reservoir are owned and operated by the Western Virginia Water Authority as primary and secondary drinking water sources, respectively, for Roanoke, Virginia, and this dataset is used for creating a water budget for the two reservoirs. The dataset consists of discharge rates calculated using one of three methods: propeller flowmate, salt injection, or velocity float method. Data were collected weekly to monthly from February through October 2019. References: Gordon, N.D., T.A. McMahon, and B.L. Finlayson. 2004. Stream Hydrology: an Introduction for Ecologists, 2nd edition. John Wiley & Sons, Inc., New York.
DOI: 10.5281/zenodo.3580042
title: Artifact for "Atomicity Checking in Linear Time using Vector Clocks"

description: Multi-threaded programs are challenging to write. Developers often need to reason about a prohibitively large number of thread interleavings to reason about the behavior of software.<br> A non-interference property like atomicity can reduce this interleaving space by ensuring that any execution is equivalent to an execution where all atomic blocks are executed serially.<br> We consider the well studied notion of conflict serializability for dynamically checking atomicity.<br> Existing algorithms detect violations of conflict serializability by detecting cycles in a graph of transactions observed in a given execution.<br> The size of such a graph can be as large as the size of the trace making the analysis not scalable.<br> In this paper, we present AeroDrome, a novel single pass linear time algorithm that detects violations of conflict serializability using vector clocks. Experiments show that AeroDrome scales to traces with a large number of events with significant speedup.
DOI: 10.26300/cvpj-xw35
title: Chapter Two Supplementary Data 1
DOI: 10.18716/nmrshiftdb2/11387
title: NMR data for (+)-Isothalmidine
DOI: 10.18716/nmrshiftdb2/11388
title: NMR data for (20S)-16-Hydroxy-20-(formylamino)-3-(dimethylamino)-9,10-seco-buxa-9(11),10(19)-diene; N20-Formylbuxaminol E
DOI: 10.18716/nmrshiftdb2/11390
title: NMR data for 6-[(1S)-1-hydroxyethyl]-2,4a,6,8a-tetrahydropyran[3,2-b]pyran-2-one; Diplopyrone
DOI: 10.18716/nmrshiftdb2/11392
title: NMR data for 3,7,18-Trihydroxy-ent-kaur-16-ene; Foliol
DOI: 10.18716/nmrshiftdb2/11389
title: NMR data for Macowine
DOI: 10.18716/nmrshiftdb2/16705
title: NMR data for [(1S)-2,3,4,6,7,8,9,9a-octahydro-1H-quinolizin-1-yl]methanol
DOI: 10.18716/nmrshiftdb2/11391
title: NMR data for 15-Acetoxy-cis-clerodan-3-ene-18-al
DOI: 10.18716/nmrshiftdb2/11393
title: NMR data for Phytyl acetate
DOI: 10.18716/nmrshiftdb2/11396
title: NMR data for 4-(1-Methyl-heptyloxy)-3-nitro-benzoic acid ethyl ester
DOI: 10.18716/nmrshiftdb2/15957
title: NMR data for 1,3-dithian-5-one
DOI: 10.14284/390
title: Land and marine ERT data set collected across the shoreline at the Westhoek nature reserve

description: Land and marine ERT data set collected respectively in low and high tide conditions. An overlapping exists in the intertidal zone. This data set is used as a demonstration example of the combined inversion of land and marine ERT.
description: The data correspond to land and marine ERT data collected in the Western Belgian coastal plain next to the French border. This site has been largely studied in the past for its characteristic distribution of fresh- and saltwater. The large recharge in the dune area located to the South, combined with the low slope (1.1%) of the beach and the large tidal range (about 5 m) is responsible for the presence of a saltwater lens above fresh water in the intertidal zone. The total profile is about 800 m long, with 102 electrodes spaced every 5 m, for a total of 505 m on land (limit of the low water line). Land data were collected using a multiple-gradient array at low tide (-0.15 m). There is a 200 m overlap with the marine profile, collected at high tide (3.41 mTAW), which continues 300 m further offshore. The marine data were collected through continuous resistivity profiling, using 13-electrode cables with 15 m spacing and a reciprocal Wenner-Schlumberger array. Data were collected on average every 3.2 m, together with the height of the water column (bathymetry).
DOI: 10.18716/nmrshiftdb2/11394
title: NMR data for Acetic acid 7a-hydroxy-1,7-bis-hydroxymethyl-1,3,3,6-tetramethyl-octahydro-inden-4-yl ester; Botrydiol
DOI: 10.18716/nmrshiftdb2/12017
title: NMR data for methacrolein; methacrylaldehyde
DOI: 10.18716/nmrshiftdb2/17079
title: NMR data for (4-{5-[4-(Diethoxy-phosphorylmethyl)-phenyl]-3,6-dimethyl-pyrazin-2-yl}-benzyl)-phosphonic acid diethyl ester
DOI: 10.26300/9nx7-8d78
title: Chapter Two Supplementary Data 2
DOI: 10.18716/nmrshiftdb2/11723
title: NMR data for 3-Hydroxy-olean-12-en-24-oic-acid; -Boswellic acid
DOI: 10.18716/nmrshiftdb2/16331
title: NMR data for 1,3,5-trimethyl-6-oxocyclohexa-2,4-dien-1-yl acetate
DOI: 10.18716/nmrshiftdb2/17453
title: NMR data for Tetraphenyl[4]radialene
DOI: 10.18716/nmrshiftdb2/12059
title: NMR data for BENZOIC ACID,3-NITRO MFC7 H5 N1 O4
DOI: 10.18716/nmrshiftdb2/15583
title: NMR data for 2,4-dioxo-2,3,4,7-tetrahydro-1H-pyrrolo[2,3-d]pyrimidine-5-carbonitrile
DOI: 10.18716/nmrshiftdb2/18201
title: NMR data for InChI=1S/C9H14O5/c1-9(2)13-7-6-5(4(10)3-11-6)12-8(7)14-9/h4-8,10H,3H2,1-2H3/t4-,5-,6+,7-,8-/m1/s1
DOI: 10.18716/nmrshiftdb2/17827
title: NMR data for 2-Epicastasterone
DOI: 10.18716/nmrshiftdb2/19705
title: NMR data for Pellucidin A
DOI: 10.5281/zenodo.3580663
title: SWAT+ simulation result used in "Smart renewable electricity portfolios in West Africa"

description: Shapefiles and simulation results from SWAT+ used for the paper "Smart renewable electricity portfolios in West Africa" by Sterl et al., who used it to infer the interannual variability of river flow seasonality across West Africa.
DOI: 10.5281/zenodo.3580662
title: SWAT+ simulation result used in "Smart renewable electricity portfolios in West Africa"

description: Shapefiles and simulation results from SWAT+ used for the paper "Smart renewable electricity portfolios in West Africa" by Sterl et al., who used it to infer the interannual variability of river flow seasonality across West Africa.
DOI: 10.6084/m9.figshare.11374455.v1
title: Input Data for "A Novel Coupled Hydro-Mechanical Model for Two-Phase Flow in Fractured Karst Porous Media"

description: Input Data for "A Novel Coupled Hydro-Mechanical Model for Two-Phase Flow in Fractured Karst Porous Media". The dataset includes basic parameters for simulation, relative permeability and capillary pressure curves, and coordinates for 2D fracture and vug networks.
DOI: 10.18716/nmrshiftdb2/11513
title: NMR data for Conodiparine A
DOI: 10.17632/x5g7nbfjx6.1
title: Data for: Acute Exposure and Chronic Retention of Aluminum in Three Vaccine Schedules and Effects of Genetic and Environmental Variation

description: Excel spreadsheet of all calculations in the McFarland et al. comparison of aluminum retention/accumulation of three vaccine schedules.
DOI: 10.18716/nmrshiftdb2/11429
title: NMR data for 7-Deoxyloganic acid
DOI: 10.18716/nmrshiftdb2/11431
title: NMR data for Briarellin J
DOI: 10.5281/zenodo.3579583
title: 1D_DSD_data_SunYuting

description: 1. Raw data: *.csv, and additionaldata.rar 2. Code: 1read.f90, 2separate_str_con_Dm.f90 and 0plotstation.ncl 3. Information of stations : station.txt 4. Instantaneously co-located matched surface disdrometers: Matched_1D_DSD_data_forFig4.docx
DOI: 10.5281/zenodo.3579584
title: 1D_DSD_data_SunYuting

description: 1. Raw data: *.csv, and additionaldata.rar 2. Code: 1read.f90, 2separate_str_con_Dm.f90 and 0plotstation.ncl 3. Information of stations : station.txt 4. Instantaneously co-located matched surface disdrometers: Matched_1D_DSD_data_forFig4.docx
DOI: 10.18716/nmrshiftdb2/11430
title: NMR data for 11,17-Dihydroxy-3-oxo-17-pregn-4-ene-7,21-dicarboxylic acid 7-methyl ester -lactone; 11-Hydroxymexrenone
DOI: 10.18716/nmrshiftdb2/11682
title: NMR data for isopropyl sulfide
DOI: 10.25912/5df83a7346547
title: Machine-based Production Scheduling for Rotomoulded Plastics Manufacturing - Datasets
DOI: 10.18716/nmrshiftdb2/11471
title: NMR data for 2,13-Dihydroxyaromadendr-1(10)-en-9-one
DOI: 10.18716/nmrshiftdb2/11681
title: NMR data for chloro-methylsulfanyl-methane; chloromethyl methyl sulfide
DOI: 10.5281/zenodo.3579591
title: hollow_object_trained_model

description: Trained model for hollow object inside
DOI: 10.5281/zenodo.3579592
title: hollow_object_trained_model

description: Trained model for hollow object inside
DOI: 10.18716/nmrshiftdb2/11597
title: NMR data for [4-2(2-{4-[2-(4-Hydroxymethyl-phenyl)-vinyl]-2,5-dimethoxy-phenyl}-vinyl)-phenyl]-methanol
DOI: 10.18716/nmrshiftdb2/11639
title: NMR data for 4-Iodo-benzoic acid methyl ester
DOI: 10.26300/d74v-de34
title: Chapter Three Supplementary Data 1
DOI: 10.26300/kd0n-8561
title: Chapter Three Supplementary Data 2
DOI: 10.7910/dvn/letuuy/bnrluh
title: jpp_state_aid.tab

description: Dataset
DOI: 10.7910/dvn/letuuy/hxzsaq
title: Figures_4_to_6.do

description: Replication code for interaction plots in Figures 4, 5 and 6