cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3606809
title: Dataset: Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board

description: This is the dataset released with the paper titled: "Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board". The dataset is a single Newline delimited JSON file. Each line in the file consists of a JSON object which is a full 4chan /pol/ thread. The JSON objects contain all the key/values returned by the 4chan API, along with three additional keys (<em>entities, perspectives</em>, and <em>extracted_poster_id</em>). For each JSON object we complement the data with the list of the named entities we detect for each post, using the spaCy Python library. In addition, for each post we add scores returned by the Google’s Perspective API, and more specifically seven scores in the [0; 1] interval. For the detailed description of every <em>key </em>in the JSON structure, along with the type of the <em>value</em>, please read the readme.pdf file provided with this dataset. If you find our dataset useful, please cite our paper: <pre>@article{papasavva2020raiders, title={Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board}, author={Antonis Papasavva, Savvas Zannettou, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn}, journal={14th International AAAI Conference On Web And Social Media (ICWSM), 2020}, year={2020} }</pre> <strong>How to extract the data:</strong> Note that the data is compressed. See the instructions below on how to extract the data: <strong>Linux and Mac</strong> Step 1: Open a terminal window and navigate to the path where the file <em>pol_0616-1119_labeled.tar.zst </em>is located. Step2: Run the following command: <pre><code>unzstd pol_0616-1119_labeled.tar.zst</code></pre> The above command will result in a file named <em>pol_0616-1119_labeled.tar. </em>(in the same directory) Step 3: Again, from your terminal window, run this command: <pre><code>tar -xvf pol_0616-1119_labeled.tar</code></pre> When the above command finishes, you will get (in the same directory) the extracted data - a file named <em>pol_062016-112019_labeled.ndjson.</em> <strong>Windows</strong> There are many applications that can be used to extract this data on Windows available online. The authors cannot recommend specific applications. Note that the file is compressed twice so you will need to perform the data extraction twice - once on the downloaded file, and once on the file that was extracted from the downloaded file. Please do not hesitate to contact the author of this study in case you face any problem at: antonis.papasavva@ucl.ac.uk
DOI: 10.7910/dvn/44arac/fnxxlf
title: luminescent.TIF

description: :unav
DOI: 10.7910/dvn/44arac/gr2vgz
title: AnalyzedClickInfo.txt

description: :unav
DOI: 10.7910/dvn/44arac/jm6kg8
title: ClickInfo.txt

description: :unav
DOI: 10.7910/dvn/44arac/kwwchd
title: photograph.TIF

description: :unav
DOI: 10.7910/dvn/44arac/kyxmhv
title: luminescent.TIF

description: :unav
DOI: 10.7910/dvn/44arac/ngxuwv
title: Specimen_001_3-2gel.fcs

description: :unav
DOI: 10.7910/dvn/44arac/p6jfuz
title: Specimen_001_PB 1-2.fcs

description: :unav
DOI: 10.7910/dvn/44arac/rhrr0p
title: photograph.TIF

description: :unav
DOI: 10.7910/dvn/44arac/xcugby
title: luminescent.TIF

description: :unav
DOI: 10.6085/aa/publication_data.80.1
title: Data for Close et al. Ecosystems Manuscript 2020: Biogeography of macrophyte elemental composition: spatio-temporal modification of species-level traits

description: The elemental composition of primary producers represents a potentially important pathway for linking ecosystem scale, climate-driven changes in nutrient supply to ecological processes at the population and community scales. However, such cross-scale linkages may also be dampened by conservation of species-specific differences in tissue stoichiometry. We investigated biogeographic patterns of elemental composition (%N, %C, and C:N ratio) of four ecologically dominant and functionally diverse marine intertidal macrophyte species (the brown algae Fucus distichus and Hedophyllum sessile, the red alga Mazzaella splendens, and the surfgrass Phyllospadix scouleri) along 900 km of coastline of the California Current System over a 10 year period. We used a nested hierarchical design to identify the dominant spatial and temporal scales of elemental composition variability and to test the sensitivity of macrophyte stoichiometry to changing ocean conditions in upwelling, the El Niño-Southern Oscillation (ENSO), the North Pacific Gyre Oscillation (NPGO), and the Pacific Decadal Oscillation (PDO). Elemental composition was highly conserved at the species level but was also sensitive to the environment, displaying marked species-dependent responses to spatial and temporal variation in ocean conditions. Moreover, the effects of local and seasonal processes were strong and with conserved species-specific differences, likely limited coherent cross-species sensitivity to climate variability from ENSO, NPGO and PDO. Unanticipated long-term steady increases in %C and bimodal increases in %N in brown algae and similar decreases in elemental composition of the red alga generated trimodal changes in C:N for these species. These changes may reflect responses of macrophyte communities to continuing changes in carbonate chemistry from ocean acidification.
DOI: 10.6085/aa/publication_data.81.1
title: (:unkn)
DOI: 10.6085/aa/publication_data.82.1
title: (:unkn)
DOI: 10.6085/aa/publication_data.83.1
title: (:unkn)
DOI: 10.7910/dvn/44arac/1spqtk
title: AN20190127102433_SEQ.PNG

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DOI: 10.7910/dvn/44arac/4bnv7l
title: Specimen_001_PB 1-3.fcs

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DOI: 10.7910/dvn/44arac/bvmjqz
title: readbiasonly.TIF

description: :unav
DOI: 10.7910/dvn/44arac/ecroxq
title: 20190208_AMLExp3A_Tetramer_BM.xls

description: :unav
DOI: 10.7910/dvn/44arac/erxmwv
title: ClickInfo.txt

description: :unav
DOI: 10.7910/dvn/44arac/fc1uw2
title: AnalyzedClickInfo.txt

description: :unav
DOI: 10.7910/dvn/44arac/liiide
title: readbiasonly.TIF

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DOI: 10.7910/dvn/44arac/ohoa36
title: photograph.TIF

description: :unav
DOI: 10.6085/aa/publication_data.84.1
title: (:unkn)
DOI: 10.6085/aa/publication_data.85.1
title: (:unkn)
DOI: 10.6085/aa/publication_data.86.1
title: (:unkn)
DOI: 10.7910/dvn/44arac/4rtleu
title: photograph.TIF

description: :unav
DOI: 10.7910/dvn/44arac/qgkhyp
title: luminescent.TIF

description: :unav
DOI: 10.7910/dvn/44arac/s3wbyi
title: readbias.TIF

description: :unav
DOI: 10.7910/dvn/44arac/vl0ctf
title: AnalyzedClickInfo.txt

description: :unav
DOI: 10.7910/dvn/44arac/wdaoqf
title: ClickInfo.txt

description: :unav
DOI: 10.7910/dvn/44arac/wiwmwy
title: AnalyzedClickInfo.txt

description: :unav
DOI: 10.7910/dvn/44arac/z6wbkk
title: photograph.TIF

description: :unav
DOI: 10.7910/dvn/44arac/3gddsl
title: ClickInfo.txt

description: :unav
DOI: 10.7910/dvn/44arac/9rinym
title: SequenceInfo.txt

description: :unav
DOI: 10.7910/dvn/44arac/cr9a63
title: SequenceInfo.txt

description: :unav
DOI: 10.7910/dvn/44arac/kyvnsp
title: Specimen_001_BM 1-3.fcs

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DOI: 10.7910/dvn/44arac/p9ilya
title: AN20190204170921_001.PNG

description: :unav
DOI: 10.7910/dvn/44arac/vbdwze
title: Specimen_001_BM 1-5.fcs

description: :unav
DOI: 10.5281/zenodo.3607958
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.3607959
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.3608300
title: Via Sacra Pond YSI Data from 2019-11-20 to 2019-12-04

description: General Metadata for Via Sacra Pond YSI Data Files Specific metadata for each deployment can be found as text files with the file format of: <pre><code>via_sacra_pond_YYYY-MM-DD_metadata.txt </code></pre> Where YYYY-MM-DD is the date that the deployment ended. File Created 2020-01-14 by KF File Modified Description These data are from a YSI EXO3 multiparameter sonde deployed at approximatly 0.4 m in Via Sacra Pond (37.223340 N, -78.473026 W) in approximately 1 m of water. Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has: Temperature Conductivity ODO Total Algae Turbidity fDOM Measurement Parameters, units, and Variable Names date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS) date = the sampling date reported by the YSI (M/D/YYYY) time = the sampling time reported by the YSI (HH:MM:SS) fract_sec = the sampling fractions of a second reported by the YSI site_name = the site name on the YSI deployment (left blank) chl_RFU = the chlorophyll concentration (RFU) chl_conc = the chlorophyll concentration (ug/L) cond = the conductivity (uS/cm) nLF_cond = the nLF conductivity (uS/cm) perc_ODO = the percent oxygen saturation perc_local_ODO = the percent local oxygen saturation ODO_conc = the dissolved oxygen concentration (mg/L) sal = the salinity (psu) sp_cond = the specific conductivity (uS/cm) BGA_PC_RFU = the Blue-green algae Phycocyanin concentration (RFU) BGA_PC_conc = the Blue-green algae Phycocyanin concentration (ug/L) TDS = the total dissolved solids (mg/L) temp = the temperature (dC) turb_FNU = the turbidity (FNU) TSS = total suspended solids battery = the battery voltage cable_pwr = the cable power
DOI: 10.5281/zenodo.3608301
title: Via Sacra Pond YSI Data from 2019-11-20 to 2019-12-04

description: General Metadata for Via Sacra Pond YSI Data Files Specific metadata for each deployment can be found as text files with the file format of: <pre><code>via_sacra_pond_YYYY-MM-DD_metadata.txt </code></pre> Where YYYY-MM-DD is the date that the deployment ended. File Created 2020-01-14 by KF File Modified Description These data are from a YSI EXO3 multiparameter sonde deployed at approximatly 0.4 m in Via Sacra Pond (37.223340 N, -78.473026 W) in approximately 1 m of water. Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has: Temperature Conductivity ODO Total Algae Turbidity fDOM Measurement Parameters, units, and Variable Names date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS) date = the sampling date reported by the YSI (M/D/YYYY) time = the sampling time reported by the YSI (HH:MM:SS) fract_sec = the sampling fractions of a second reported by the YSI site_name = the site name on the YSI deployment (left blank) chl_RFU = the chlorophyll concentration (RFU) chl_conc = the chlorophyll concentration (ug/L) cond = the conductivity (uS/cm) nLF_cond = the nLF conductivity (uS/cm) perc_ODO = the percent oxygen saturation perc_local_ODO = the percent local oxygen saturation ODO_conc = the dissolved oxygen concentration (mg/L) sal = the salinity (psu) sp_cond = the specific conductivity (uS/cm) BGA_PC_RFU = the Blue-green algae Phycocyanin concentration (RFU) BGA_PC_conc = the Blue-green algae Phycocyanin concentration (ug/L) TDS = the total dissolved solids (mg/L) temp = the temperature (dC) turb_FNU = the turbidity (FNU) TSS = total suspended solids battery = the battery voltage cable_pwr = the cable power
DOI: 10.5519/qd.1cilfhfd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (57389 records)
DOI: 10.5281/zenodo.3608302
title: Via Sacra Pond YSI Data from 2020-12-04 to 2020-12-18

description: General Metadata for Via Sacra Pond YSI Data Files Specific metadata for each deployment can be found as text files with the file format of: <pre><code>via_sacra_pond_YYYY-MM-DD_metadata.txt </code></pre> Where YYYY-MM-DD is the date that the deployment ended. File Created 2020-01-14 by KF File Modified Description These data are from a YSI EXO3 multiparameter sonde deployed at approximatly 0.4 m in Via Sacra Pond (37.223340 N, -78.473026 W) in approximately 1 m of water. Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has: Temperature Conductivity ODO Total Algae Turbidity fDOM Measurement Parameters, units, and Variable Names date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS) date = the sampling date reported by the YSI (M/D/YYYY) time = the sampling time reported by the YSI (HH:MM:SS) fract_sec = the sampling fractions of a second reported by the YSI site_name = the site name on the YSI deployment (left blank) chl_RFU = the chlorophyll concentration (RFU) chl_conc = the chlorophyll concentration (ug/L) cond = the conductivity (uS/cm) nLF_cond = the nLF conductivity (uS/cm) perc_ODO = the percent oxygen saturation perc_local_ODO = the percent local oxygen saturation ODO_conc = the dissolved oxygen concentration (mg/L) sal = the salinity (psu) sp_cond = the specific conductivity (uS/cm) BGA_PC_RFU = the Blue-green algae Phycocyanin concentration (RFU) BGA_PC_conc = the Blue-green algae Phycocyanin concentration (ug/L) TDS = the total dissolved solids (mg/L) temp = the temperature (dC) turb_FNU = the turbidity (FNU) TSS = total suspended solids battery = the battery voltage cable_pwr = the cable power
DOI: 10.5281/zenodo.3608303
title: Via Sacra Pond YSI Data from 2020-12-04 to 2020-12-18

description: General Metadata for Via Sacra Pond YSI Data Files Specific metadata for each deployment can be found as text files with the file format of: <pre><code>via_sacra_pond_YYYY-MM-DD_metadata.txt </code></pre> Where YYYY-MM-DD is the date that the deployment ended. File Created 2020-01-14 by KF File Modified Description These data are from a YSI EXO3 multiparameter sonde deployed at approximatly 0.4 m in Via Sacra Pond (37.223340 N, -78.473026 W) in approximately 1 m of water. Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has: Temperature Conductivity ODO Total Algae Turbidity fDOM Measurement Parameters, units, and Variable Names date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS) date = the sampling date reported by the YSI (M/D/YYYY) time = the sampling time reported by the YSI (HH:MM:SS) fract_sec = the sampling fractions of a second reported by the YSI site_name = the site name on the YSI deployment (left blank) chl_RFU = the chlorophyll concentration (RFU) chl_conc = the chlorophyll concentration (ug/L) cond = the conductivity (uS/cm) nLF_cond = the nLF conductivity (uS/cm) perc_ODO = the percent oxygen saturation perc_local_ODO = the percent local oxygen saturation ODO_conc = the dissolved oxygen concentration (mg/L) sal = the salinity (psu) sp_cond = the specific conductivity (uS/cm) BGA_PC_RFU = the Blue-green algae Phycocyanin concentration (RFU) BGA_PC_conc = the Blue-green algae Phycocyanin concentration (ug/L) TDS = the total dissolved solids (mg/L) temp = the temperature (dC) turb_FNU = the turbidity (FNU) TSS = total suspended solids battery = the battery voltage cable_pwr = the cable power
DOI: 10.5281/zenodo.3608374
title: Supplementary Table S1: KEGG pathway enrichment

description: This is a dataset excel file directly related to my manuscript (MBO3_2019_11_0405.R1). The dataset excel file is a detailed result of the KEGG pathway enrichment analysis.
DOI: 10.5281/zenodo.3608375
title: Supplementary Table S1: KEGG pathway enrichment

description: This is a dataset excel file directly related to my manuscript (MBO3_2019_11_0405.R1). The dataset excel file is a detailed result of the KEGG pathway enrichment analysis.
DOI: 10.7910/dvn/crqfbo/2ryxci
title: 01EE_experts_ref_material.pdf

description: Reference material used in the expert elicitation's exercises
DOI: 10.7910/dvn/crqfbo/30nev2
title: 01EE_West_Bengal_dishes_2017.tab

description: list of dish and ingredients from experts in WB
DOI: 10.7910/dvn/crqfbo/6a85jn
title: 01EE_ingredient_sheet.pdf

description: A sheet used to list the ingredients of a dish in a particular occasion.
DOI: 10.7910/dvn/crqfbo/g2q4ri
title: 01EE_Odisha_dishes_2017.tab

description: list of dish and ingredients from experts in OD
DOI: 10.7910/dvn/kg9gpx/xxtfvj
title: 02FGD_Occasion and Dishes.tab

description: list of dish from Odisha and West Bengal solicited from the FGD
DOI: 10.7910/dvn/pogk8l/5g0gcb
title: dados_oldmethodoly.tab

description: Dados
DOI: 10.7910/dvn/pogk8l/f31n13
title: DISSERTAÇÃO.docx

description: Texto
DOI: 10.7910/dvn/pogk8l/q8eh2a
title: SCRIPT-DISS.R

description: Script R
DOI: 10.5281/zenodo.3608304
title: Via Sacra Pond YSI Data from 2019-12-18 to 2020-01-09

description: General Metadata for Via Sacra Pond YSI Data Files Specific metadata for each deployment can be found as text files with the file format of: <pre><code>via_sacra_pond_YYYY-MM-DD_metadata.txt </code></pre> Where YYYY-MM-DD is the date that the deployment ended. File Created 2020-01-14 by KF File Modified Description These data are from a YSI EXO3 multiparameter sonde deployed at approximatly 0.4 m in Via Sacra Pond (37.223340 N, -78.473026 W) in approximately 1 m of water. Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has: Temperature Conductivity ODO Total Algae Turbidity fDOM Measurement Parameters, units, and Variable Names date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS) date = the sampling date reported by the YSI (M/D/YYYY) time = the sampling time reported by the YSI (HH:MM:SS) fract_sec = the sampling fractions of a second reported by the YSI site_name = the site name on the YSI deployment (left blank) chl_RFU = the chlorophyll concentration (RFU) chl_conc = the chlorophyll concentration (ug/L) cond = the conductivity (uS/cm) nLF_cond = the nLF conductivity (uS/cm) perc_ODO = the percent oxygen saturation perc_local_ODO = the percent local oxygen saturation ODO_conc = the dissolved oxygen concentration (mg/L) sal = the salinity (psu) sp_cond = the specific conductivity (uS/cm) BGA_PC_RFU = the Blue-green algae Phycocyanin concentration (RFU) BGA_PC_conc = the Blue-green algae Phycocyanin concentration (ug/L) TDS = the total dissolved solids (mg/L) temp = the temperature (dC) turb_FNU = the turbidity (FNU) TSS = total suspended solids battery = the battery voltage cable_pwr = the cable power
DOI: 10.5281/zenodo.3608305
title: Via Sacra Pond YSI Data from 2019-12-18 to 2020-01-09

description: General Metadata for Via Sacra Pond YSI Data Files Specific metadata for each deployment can be found as text files with the file format of: <pre><code>via_sacra_pond_YYYY-MM-DD_metadata.txt </code></pre> Where YYYY-MM-DD is the date that the deployment ended. File Created 2020-01-14 by KF File Modified Description These data are from a YSI EXO3 multiparameter sonde deployed at approximatly 0.4 m in Via Sacra Pond (37.223340 N, -78.473026 W) in approximately 1 m of water. Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has: Temperature Conductivity ODO Total Algae Turbidity fDOM Measurement Parameters, units, and Variable Names date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS) date = the sampling date reported by the YSI (M/D/YYYY) time = the sampling time reported by the YSI (HH:MM:SS) fract_sec = the sampling fractions of a second reported by the YSI site_name = the site name on the YSI deployment (left blank) chl_RFU = the chlorophyll concentration (RFU) chl_conc = the chlorophyll concentration (ug/L) cond = the conductivity (uS/cm) nLF_cond = the nLF conductivity (uS/cm) perc_ODO = the percent oxygen saturation perc_local_ODO = the percent local oxygen saturation ODO_conc = the dissolved oxygen concentration (mg/L) sal = the salinity (psu) sp_cond = the specific conductivity (uS/cm) BGA_PC_RFU = the Blue-green algae Phycocyanin concentration (RFU) BGA_PC_conc = the Blue-green algae Phycocyanin concentration (ug/L) TDS = the total dissolved solids (mg/L) temp = the temperature (dC) turb_FNU = the turbidity (FNU) TSS = total suspended solids battery = the battery voltage cable_pwr = the cable power
DOI: 10.5281/zenodo.3608325
title: PLAsTiCC kraken 2044 Models

description: PLAsTiCC models simulated with LSST kraken2044 opsim cadence
DOI: 10.6085/aa/publication_data.80.2
title: Data for Close et al. Ecosystems Manuscript 2020: Biogeography of macrophyte elemental composition: spatio-temporal modification of species-level traits

description: The elemental composition of primary producers represents a potentially important pathway for linking ecosystem scale, climate-driven changes in nutrient supply to ecological processes at the population and community scales. However, such cross-scale linkages may also be dampened by conservation of species-specific differences in tissue stoichiometry. We investigated biogeographic patterns of elemental composition (%N, %C, and C:N ratio) of four ecologically dominant and functionally diverse marine intertidal macrophyte species (the brown algae Fucus distichus and Hedophyllum sessile, the red alga Mazzaella splendens, and the surfgrass Phyllospadix scouleri) along 900 km of coastline of the California Current System over a 10 year period. We used a nested hierarchical design to identify the dominant spatial and temporal scales of elemental composition variability and to test the sensitivity of macrophyte stoichiometry to changing ocean conditions in upwelling, the El Niño-Southern Oscillation (ENSO), the North Pacific Gyre Oscillation (NPGO), and the Pacific Decadal Oscillation (PDO). Elemental composition was highly conserved at the species level but was also sensitive to the environment, displaying marked species-dependent responses to spatial and temporal variation in ocean conditions. Moreover, the effects of local and seasonal processes were strong and with conserved species-specific differences, likely limited coherent cross-species sensitivity to climate variability from ENSO, NPGO and PDO. Unanticipated long-term steady increases in %C and bimodal increases in %N in brown algae and similar decreases in elemental composition of the red alga generated trimodal changes in C:N for these species. These changes may reflect responses of macrophyte communities to continuing changes in carbonate chemistry from ocean acidification.
DOI: 10.7910/dvn/kg9gpx/0ibihx
title: 02FGD_Discussion_Guide_Aug2017.pdf

description: :unav
DOI: 10.7910/dvn/kg9gpx/6pqhj4
title: 02FGD_Transcription_Rural_WB.pdf

description: :unav
DOI: 10.7910/dvn/kg9gpx/ntzta4
title: 02FGD_Transcription_Urban_WB.pdf

description: :unav
DOI: 10.7910/dvn/kg9gpx/ymtjyc
title: 02FGD_Transcription_Rural_Odisha.pdf

description: :unav
DOI: 10.7910/dvn/kg9gpx/z691jr
title: 02FGD_Trancription_Urban_Odisha.pdf

description: :unav
DOI: 10.5281/zenodo.3608326
title: PLAsTiCC kraken 2044 Models

description: PLAsTiCC models simulated with LSST kraken2044 opsim cadence
DOI: 10.7910/dvn/euwmnw/cqslwg
title: 04ConsumerSurvey_2018questionnaire.pdf

description: :unav
DOI: 10.7910/dvn/euwmnw/p0eu9z
title: 04ConsumerSurvey_2018data..tab

description: :unav
DOI: 10.7910/dvn/srm5ga/3sgtc2
title: 05Foodlab_nutri_protocol.pdf

description: :unav
DOI: 10.7910/dvn/srm5ga/yi7aut
title: 05Foodlab_nutri_dishdata.xls

description: :unav
DOI: 10.5519/qd.fys3mkk6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (637 records)