diff --git a/concepticondata/conceptlists.tsv b/concepticondata/conceptlists.tsv index e8679600..7abd0279 100644 --- a/concepticondata/conceptlists.tsv +++ b/concepticondata/conceptlists.tsv @@ -145,7 +145,7 @@ Pallas-1789-285 Pallas, Peter Simon 1789 285 historical Russian, Latin Global Pallas-1786-442 Pallas, Peter Simon 1786 442 historical Russian, German, Latin, French Global Pallas1786 Pallas1786 This is a very early collection of words compiled for the purpose of language comparison. From the digital version of the source, the original date of publication could not be determined. However, according to [Adelung (1815: 53)](:bib:Adelung1815), the collection was published in 1786 by order of Catherine the Great, in order to create a large collection of words from all languages in the world. Later, the list was reduced to [285 words](:ref:Pallas-1789-285), and the translations were published in two volumes. The count of 442 items is based on our digitization of the source. As a matter of fact, the item «to sing» occurs twice in the data with the exact identical Russian, French, and Latin words. 3-8 Ardila-2007-40 Ardila, Alfredo 2007 40 naming test English,Spanish,Esperanto,Latin,Turkish,Basque,Russian,Guahibo Global http://dx.doi.org/10.1016/j.acn.2007.01.016 Ardila2007 Ardila2007 This list was created as an alternative to current *naming tests* which are used in medicine to determine degrees of aphasia and for similar purposes. For this reason, the tests are usually accompanied by images, and the same holds for [this test](http://ars.els-cdn.com/content/image/1-s2.0-S088761770700011X-gr1.jpg), which, in contrast to earlier tests, like the Boston Naming Test, uses the idea of Swadesh lists as a new starting point for the creation of a test list. According to the author, the list has 38 items from the list of [Swadesh (1955)](:ref:Swadesh-1955-100) and 2 items from the list of [Swadesh (1952)](:ref:Swadesh-1952-200), namely «snake» and «worm». The item selection was based on different factors, including recognizability on images, a coverage of five core semantic categories. Note that the list we give here was merged from two tables in the original paper (one containing the test items, the other translations in additional languages). 300-305 Key-2016-1310 Key, Mary Ritchie and Comrie, Bernard 2015 1310 questionnaire English, Russian, French, Portuguese, Spanish Global http://ids.clld.org Key2016 This is the most recent version of the concept list underlying the [Intercontinental Dictionary Series](https://ids.clld.org/) which was first launched in 2007 and now significantly enhanced and expanded (while the concept list itself was left unchanged). The list also served as the core list underlying the [World Loanwoard Database](http://wold.clld.org) and was used for the investigation of cross-linguistic colexification patterns in the [CLICS database](http://clics.lingpy.org). IDS -Peust-2013-54 Peust, Carsten 2013 54 ratings English Global http://www.peust.de/peustBasicVocabularyList.pdf Peust2013 Peust2013 This list is the result of applying a procedure for stability-checking by comparing the survival rate of words in couples of ancestral and descendant languages in 13 such pairs. This procedure for stability checking is different from the ones proposed by [Starostin (2007)](:ref:Starostin-2007-110), [Holman et al. (2008)](:ref:Holman-2008-40), and [Pozdniakov (2014)](:ref:Pozdniakov-2014-100a). The column STABILITY in the data reflects the degree of the correponding category for each concept and ranges from 1 to 6. 14 +Peust-2013-54 Peust, Carsten 2013 54 relations English Global http://www.peust.de/peustBasicVocabularyList.pdf Peust2013 Peust2013 This list is the result of applying a procedure for stability-checking by comparing the survival rate of words in couples of ancestral and descendant languages in 13 such pairs. This procedure for stability checking is different from the ones proposed by [Starostin (2007)](:ref:Starostin-2007-110), [Holman et al. (2008)](:ref:Holman-2008-40), and [Pozdniakov (2014)](:ref:Pozdniakov-2014-100a). The column STABILITY in the data reflects the degree of the correponding category for each concept and ranges from 1 to 6. 14 Pozdniakov-2014-100a Pozdniakov, Konstantin 2014 a 100 ranked English Global http://jolr.ru/files/(144)jlr2014-11(187-237).pdf Pozdniakov2014 Pozdniakov2014 This list presents an alternative ranking of the data underlying the ranked list presented by [Starostin (2007)](:ref:Starostin-2007-110). In contrast to the original ranking, it calculates the results by averaging them. Given that we know the original data underlying this list, the mapping to concept sets was carried out by comparing with our mapping of Starostin's ranked list. As a result, there are some mappings which may seem unintuitive («ground» being mapped to «EARTH (SOIL)»), but they result from different translations from the Russian source into English, not from wrong mappings. 200 202 Tadmor-2009-100 Tadmor, Uri 2009 100 ranked English Global http://wold.clld.org/meaning Tadmor2009 Tadmor2009 This list is assumed to contain concepts which are not only stable but also resistant to borrowing. The concepts were selected with help of the [World Loanword Database](http://wold.clld.org) which contains various information regarding lexical borrowing in different languages of the world. It is known under the name «Leipzig-Jakarta list». 69-71 Leipzig-Jakarta Swadesh-1955-215 Swadesh, Morris 1955 100 ranked English Global Swadesh1955 Swadesh1955 Apart from Swadesh's most famous concept list of [100 items](:ref:Swadesh-1955-100), the article from 1955 gives the full [list of 215 items](:ref:Swadesh-1950-215) first presented in [1950](:bib:Swadesh1955) in ranked form with stability percentages and assignment of all items to semantic fields. This list combines two tables in the paper, the table which groups the items according to categories, and the table showing the stabilities. Items marked with an asterisk refer to those 92 items which were later selected for the 100 item list (eight more items are only mentioned in the text but not included in the table). In some cases the concept labels slightly diverged in the two tables. This was indicated by adding the different concept label in the list on semantic categories (page 133) to the main field and separating it by a back slash. 133-137 @@ -238,7 +238,7 @@ Heeschen-1978-104 Heeschen, V. 1978 104 basic,areal English New Guinea Heesche Foley-1986-50 Foley, W. A. 1986 50 basic,areal English New Guinea Foley1986 Foley1986 A 50 item wordlist chosen for illustrative purposes. 215-216 Luniewska-2016-299 Łuniewska, Magdalena AND Haman, Ewa AND Armon-Lotem, Sharon AND Etenkowski, Bartłomiej AND Southwood, Frenette AND Anđelković, Darinka AND Blom, Elma AND Boerma, Tessel AND Chiat, Shula AND Engel de Abreu, Pascale AND Gagarina, Natalia AND Gavarró, Anna AND Håkansson, Gisela AND Hickey, Tina AND Jensen de López, Kristine AND Marinis, Theodoros AND Popović, Maša AND Thordardottir, Elin AND Blažienė, Agnė AND Cantú Sánchez, Myriam AND Dabašinskienė, Ineta AND Ege, Pınar AND Ehret, Inger-Anne AND Fritsche, Nelly-Ann AND Gatt, Daniela AND Janssen, Bibi AND Kambanaros, Maria AND Kapalková, Svetlana AND Kronqvist, Bjarke AND Kunnari, Sari AND Levorato, Chiara AND Nenonen, Olga AND Nic Fhlannchadha, Siobhán AND O’Toole, Ciara AND Polišenská, Kamila AND Pomiechowska, Barbara AND Ringblom, Natalia AND Rinker, Tanja AND Roch, Maja AND Savić, Maja AND Slančová, Daniela AND Tsimpli, Ianthi Maria AND Ünal-Logacev, Özlem 2016 299 acquisition,ratings Afrikaans, Catalan, Danish, Dutch, English, Finnish, German, Greek, Hebrew, Hungarian, Icelandic, Irish, Xhosa, Italian, Lithuanian, Luxembourgish, Maltese, Polish, Russian, SouthAfricanEnglish, Serbian, Slovak, Spanish, Swedish, Turkish Global https://link.springer.com/article/10.3758%2Fs13428-015-0636-6 Luniewska2016 A list containing 299 items, listing the average age of acquisition for each respective item in 25 languages. 1154-1177 Gampe-2017-48 Gampe, Anja AND Kurthen, Ira AND Daum, Moritz M. 2017 48 acquisition,ratings English Global http://journals.sagepub.com/doi/full/10.1177/0142723717736450 Gampe2017 A list that was developed to assess bilingual children's vocabulary (Swiss German native speakers). The MEAN* columns contain information about the average correctness in the lexical decision task for each item. Items are based on the [German PPVT-4 (Lenhard et al. 2015)](:bib:Lenhard2015). -Auracher-2017-16 Auracher, Jan 2017 16 acquisition, ratings English Global https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665516/ Auracher2017 Small list designed for eliciting reaction times to animal pictures. The animal list was included as one experiment (in a total of three different experiments) to differentiate between the reaction times of nonsense words and emotional body postures. +Auracher-2017-16 Auracher, Jan 2017 16 acquisition, ratings English Japanese https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665516/ Auracher2017 Small list designed for eliciting reaction times to animal pictures. The animal list was included as one experiment (in a total of three different experiments) to differentiate between the reaction times of nonsense words and emotional body postures. Pagel-2018-200 Pagel, Mark AND Meade, Andrew 2018 200 basic English Global http://rstb.royalsocietypublishing.org/highwire/filestream/38234/field_highwire_adjunct_files/0/rstb20160517supp1.pdf Pagel2018 The list is based on the [210-item list of ABVD](:ref:Blust-2008-210), the [207-item list of IELex](:ref:Dunn-2012-207), and the [100-item list by Grollemund et al.](:ref:Grollemund-2015-100). The RATE column describes the lexical replacement rate of an item per year, i.e. its lexical stability. Note that the authors state that they took 102 meanings from [Grollemund et al. (2015)](:bib:Grollemund2015), whereas, to the best of our knowledge, the list only contains 100 meanings. Davies-1985-116 Davies, John AND Comrie, Bernard 1985 116 basic,areal English New Guinea http://sealang.net/archives/pl/pdf/PL-A63.275.pdf Davies1985 A 116 item wordlist survey of the Upper Yuat region, based on a variant of survey lists by the Summer Institute of Linguistics (currently not in Concepticon yet). Bengtson-2017-12 Bengtson, John D. 2017 12 basic English Global Bengtson2017 Twelve basic word meanings from the [Swadesh list of 100 items](:ref:Swadesh-1955-100). @@ -371,7 +371,7 @@ Bowern-2021-342b Bowern, Claire and Epps, Patience and Hill, Jane and Hunley, Ke Bowern-2021-203c Bowern, Claire and Epps, Patience and Hill, Jane and Hunley, Keith 2021 c 203 specific, areal English Languages spoken by hunter-gatherers in Australia, North America and South America https://huntergatherer.la.utexas.edu/lexical Bowern2021 This list is one of three representing the current state of the database “Languages of hunter-gatherers and their neighbors” which includes lexical as well as grammatical data for phylogenetic research. The lexical items were assigned to three main categories (Basic Vocabulary, Flora Fauna Vocabulary, and Culture Vocabulary) and several subcategories; this list contains the items assigned to “Culture Vocabulary”. Hunter-Gatherer Database Majid-2015-21 Majid, Asifa and van Staden, Miriam 2015 21 body parts English Dutch, Japanese, Indonesian https://doi.org/10.1111/tops.12159 Majid2015 This is the list of body part terms used in a coloring-in experiment by [Majid and van Staden (2015)](:bib:Majid2015). In some cases the closest translation equivalent across languages was not clear a priori so multiple terms were included (e.g., for belly). Glosses indicate current best translation. Participants were given a sheet of paper with a blank line drawing of an androgonized (originally female) body and had to color-in the given body part. The sheets were scanned afterwards and the colored-in areas were compared. Blomberg-2020-160 Blomberg, Frida and Roll, Mikael and Frid, Johan and Lindgren, Magnus and Horne, Merle 2020 160 ratings English, Swedish Swedish https://www.jbe-platform.com/content/journals/10.1075/ml.19021.blo Blomberg2020 This is a list of experimental stimuli (nouns only). The words were presented visually and the participants performed a lexical decision task while their EEGs were recorded. The words were grouped into four semantic categories: specific, general, emotional, abstract. -Johansson-2020-11 Johansson, Niklas Erben and Anikin, Andrey and Aseyev, Nikolay 2020 11 colors, ratings English Global https://www.cambridge.org/core/journals/language-and-cognition/article/color-sound-symbolism-in-natural-languages/537E325E594CFC227056D4FEA6BCD8E3 Johansson2020b Johansson2020b This list of 11 color concepts underlies the study on cross-linguistic color sound symbolism. The language data come from the corpus compiled by [Johansson et al. (2020)](:ref:Johansson-2020-344) for an investigation of 344 basic vocabulary items in 245 language families. The acoustic properties of the phonemes were obtained from audio recordings in the Seeing Speech database [Lawson et al. (2015)](:bib:Lawson2015). The characteristics of the colors are represented in the columns MUNSELL, SATURATION, RGB, HUE, HUE_D, WARMTH, SAT_WITZEL, LUMINANCE, A and B. The latter three measurements were calculated based on the previously published CIELAB coordinates in the World Color Survey [Regier, Kay, and Cook (2005)](:bib:Regier2005). The A and B columns represent the coordinates of each color in the CIEL space, a 3D color space with a psychologically meaningful distance metric. SAT_WITZEL refers to the saturation ratings from the study by [Witzel and Franklin (2014)](:bib:Witzel2014). Finally, HUE_D lists the measurements for a darker hue of each color. +Johansson-2020-11 Johansson, Niklas Erben and Anikin, Andrey and Aseyev, Nikolay 2020 11 colors, norms English Global https://www.cambridge.org/core/journals/language-and-cognition/article/color-sound-symbolism-in-natural-languages/537E325E594CFC227056D4FEA6BCD8E3 Johansson2020b Johansson2020b This list of 11 color concepts underlies the study on cross-linguistic color sound symbolism. The language data come from the corpus compiled by [Johansson et al. (2020)](:ref:Johansson-2020-344) for an investigation of 344 basic vocabulary items in 245 language families. The acoustic properties of the phonemes were obtained from audio recordings in the Seeing Speech database [Lawson et al. (2015)](:bib:Lawson2015). The characteristics of the colors are represented in the columns MUNSELL, SATURATION, RGB, HUE, HUE_D, WARMTH, SAT_WITZEL, LUMINANCE, A and B. The latter three measurements were calculated based on the previously published CIELAB coordinates in the World Color Survey [Regier, Kay, and Cook (2005)](:bib:Regier2005). The A and B columns represent the coordinates of each color in the CIEL space, a 3D color space with a psychologically meaningful distance metric. SAT_WITZEL refers to the saturation ratings from the study by [Witzel and Franklin (2014)](:bib:Witzel2014). Finally, HUE_D lists the measurements for a darker hue of each color. Vergallito-2020-1121 Vergallito, Alessandra and Petilli, Marco Alessandro and Marelli, Marco 2020 1121 ratings English, Italian Italian https://osf.io/zdg59/ Vergallito2020 This is a list of perceptual modality norms for 1,121 Italian words (20% of adjectives, 69% of nouns, 5% of verbs and a 6% of words that could be considered both as an adjective or a noun.). Participants provided ratings on five modalities (visual, haptic, auditory, olfactory, or gustatory) on a scale of 0 (not at all) to 5 (greatly). Jackson-2019-24 Jackson, Joshua Conrad and Watts, Joseph and Henry, Teague R. and List, Johann-Mattis and Mucha, Peter J. and Forkel, Robert and Greenhill, Simon J. and Lindquist, Kristen 2019 24 ratings, specific English Global https://science.sciencemag.org/content/366/6472/1517 Jackson2019 This 24-item list underlies the study on the cultural variation and structure in emotion semantics across nearly 2500 languages from 20 major families. The data for this investigation was derived from the [database of cross-linguistic colexifications (CLICS)](clics.clld.org). The columns VALENCE, ACTIVATION, DOMINANCE, CERTAINTY, APPROACH_AVOIDANCE and SOCIALITY correspond with the respective physiological dimensions of the emotion concepts that were rated by users. The ratings are available for 20 out of the 24 terms since the study was carried out before the data were extended. Vulic-2020-2244 Vulić, Ivan and Baker, Simon and Ponti, Edoardo Maria and Petti, Ulla and Leviant, Ira and Wing, Kelly and Majewska, Olga and Bar, Eden and Malone, Matt and Poibeau, Thierry and Reichart, Roi and Korhonen, Anna 2021 2244 relations English, Arabic, Chinese, Welsh, Estonian, Finnish, French, Hebrew, Polish, Russian, Spanish, Cantonese English, Arabic, Chinese, Welsh, Estonian, Finnish, French, Hebrew, Polish, Russian, Spanish, Kiswahili, Yue Chinese https://multisimlex.com/ Vulic2020 Multi-SimLex is a large-scale multilingual resource for lexical semantics. The current version of Multi-SimLex provides human judgments on the semantic similarity of word pairs across a variety of languages. The original list includes 1,888 word pairs that were translated from English into 12 languages (e.g., Mandarin Chinese, Spanish, Russian, Welsh, Kiswahili). The list was prepared so that individual words were disambiguated to make a mapping to Concepticon possible. Multi-SimLex @@ -396,7 +396,7 @@ Feleke-2021-150 Feleke, Tekabe Legesse 2021 150 specific, areal English Ethiose Nurse-1975-1038 Nurse, Derek and Philippson, Gérard 1975 1038 basic, areal English Bantu languages http://www.cbold.ish-lyon.cnrs.fr/Docs/Swa-Eng1.html Nurse1975 Tanzania Language Survey was conducted in the early 1970s, but never published as a whole. As a result, the data we have for it is based on the description in the [Comparative Bantu Online Dictionary](http://www.cbold.ish-lyon.cnrs.fr/Docs/TLSinfo.html), which provides a partially digitized version of the original data and also the source of the concept list we provide here. Since the original concept list, being part of the database, faced apparent limits due to computational machinery (glosses of a certain length were exceeding the limit of a cell), there are varying numbers of concepts that have been discussed. The website talks about 1079 concepts, while only 1038 are numbered consecutively in the database, and the rest are numbered alphabetically, and the entry 929 is missing. Due to a lack of further information, we decided to limit the number of concepts in the list to those 1037 items that are given direct numbers, but we cannot tell if this reflects the numbering of the original. Klamer-2018-607 Klamer, Marian and Kaiping, Gereon 2018 607 basic English Timor-Alor-Pantar languages https://lexirumah.model-ling.eu/ Kaiping2018 The LexiRuhma database offers translations of a basic list of 607 concepts into several Timor-Alor-Pantar languages. The original database already provides links to the Concepticon, but we provide a mapping considering more recent developments here. LexiRuhma Tjuka-2019-28 Tjuka, Annika 2019 28 body parts English,German,Wolof,Czech,Marathi,Vietnamese,Greek,Persian,Chinese,Khoekhoe,Hungarian,Japanese,Hebrew,Turkish,Indonesian English,German,Wolof,Czech,Marathi,Vietnamese,Greek,Persian,Chinese,Khoekhoe,Hungarian,Japanese,Hebrew,Turkish,Indonesian Tjuka2019 The list includes 28 body parts. The body parts were elicited across 13 languages (English and German were added for eliciation) for a typological study on body part extensions to objects and landscapes. The study consisted of a line drawing of a human body and 53 pictures illustrating object and landscape parts which were based on 93 body part metaphors. -Kornai-2018-1400 Kornai, András 2018 1400 norms English,Hungarian global https://github.com/kornai/4lang Kornai2018 The 4lang resource is a hand-curated concept dictionary designed as a resource for computational semantics. It provides detailed formal definitions for a range of concepts as well as translational equivalents in Hungarian, Latin, and Polish. The concept list linked here contains the first version of the dictionary. Later versions may be added to the Concepticon at a later stage. 4lang +Kornai-2018-1400 Kornai, András 2018 1400 relations English,Hungarian global https://github.com/kornai/4lang Kornai2018 The 4lang resource is a hand-curated concept dictionary designed as a resource for computational semantics. It provides detailed formal definitions for a range of concepts as well as translational equivalents in Hungarian, Latin, and Polish. The concept list linked here contains the first version of the dictionary. Later versions may be added to the Concepticon at a later stage. 4lang Greenhill-2015-2525 Greehill, Simon J. 2015 2525 basic, areal English New Guinea languages https://transnewguinea.org Greenhill2015 TransNewGuinea.org contains vocabulary from New Guinea languages, with a focus on the Trans-New Guinea language family. Since the data was collected from a wider range of sources, the concept mapping was done in a very conservative manner and may be improved in the future. Daniel-2021-160 Daniel, Michael and Chechuro, Ilia and Verhees, Samira and Dobrushina, Nina 2021 160 unstable English,Russian East-Caucasian https://muse.jhu.edu/article/806347 Daniel2021 Daniel2021 The list includes 160 meanings and is designed to assess contact intensity in the languages of Daghestan. At the moment the list has been collected in 23 languages (15 collected in the field, 7 provided by experts, 19 based on dictionaries). The data have been collected in 38 villages across Daghestan and 5 villages in the Qax district of Azerbaijan. 555 DagLoans Tjuka-2021-192 Tjuka, Annika 2021 192 body parts, specific, colors English Global https://doi.org/10.5281/zenodo.5549847 Tjuka2021 The list includes 192 concepts and each concept was categorized into color, emotion or human body part. Included in the list are 22 color concepts, 34 emotion concepts, and 136 human body part concepts. @@ -417,7 +417,7 @@ Gerardi-2022-705 Gerardi, Fabrício and Aragon, Carolina Coelho and Reichert, St Simko-2020-205 Šimko, Ivan and Kelih, Emmerich 2020 205 basic English Bulgarian Simko2020 This concept list is a translation of the [Swadesh list of 200 items](:ref:Swadesh-1952-200), extended by 5 (according to the authors 12) terms, into Modern Bulgarian. 229-243 Brid-2022-324 Brid, Nicolás and Messineo, Cristina and List, Johann-Mattis 2022 324 basic English Chaco Languages https://doi.org/10.5281/zenodo.6656484 Brid2022 The concept list is taken from a dataset on Chaco Languages that contributes to research of areal and genetical features among these languages. Zhou-2020-350 Zhou, Yulou 2020 350 basic Chinese English Zhou2020 This concept list is part of a Bachelor's thesis that attempts to provide a first reconstruction of the Tujia language family (Proto-Bizic). -Wilson-2015-173 Wilson, Fiona M. 2015 173 basic, ranked, norms Latin Spanish Wilson2015 This concept list is a reduced version of the [Swadesh list of 200 items](:ref:Swadesh-1952-200) in Latin and Spanish. The list includes a ranking and frequency for Modern Spanish. 1-73 +Wilson-2015-173 Wilson, Fiona M. 2015 173 basic, ranked, norms Latin Spanish https://summit.sfu.ca/item/15318 Wilson2015 This concept list is a reduced version of the [Swadesh list of 200 items](:ref:Swadesh-1952-200) in Latin and Spanish. The list includes a ranking and frequency for Modern Spanish. 1-73 Chacon-2022-94 Chacon, Thiago C. 2022 94 basic English,Portuguese Northwest Arawakan Languages Chacon2022 This concept list is taken from a dataset on Northwest Arawakan Languages. The list is based on [Swadesh's list of 100 items](:ref:Swadesh-1955-100). Lionnet-1985-364 Lionnet, André 1985 364 basic Spanish Uto-Aztecan Languages Lionnet1985 This concept list is taken from a dataset on Uto-Aztecan languages. The study sets to demonstrate the existence of a Sonorense branch inside the linguistic family and proposes an inner classification of the branch. The data was collected by André Lionnet. 25-57 Oliveira-2014-517 Oliveira, Sanderson Castro Soares de 2022 517 basic English Panoan languages https://repositorio.unb.br/handle/10482/17129 Oliveira2014 Oliveira2014 This list presents the concepts that are reconstructed for Proto-Panoan. In the original data, the reflexes are presented for various Panoan languages. 397-491 diff --git a/concepticondata/conceptlists/Johansson-2020-11.tsv b/concepticondata/conceptlists/Johansson-2020-11.tsv index 8c5fc6be..12857ffb 100644 --- a/concepticondata/conceptlists/Johansson-2020-11.tsv +++ b/concepticondata/conceptlists/Johansson-2020-11.tsv @@ -1,4 +1,4 @@ -ID NUMBER ENGLISH CONCEPTICON_ID CONCEPTICON_GLOSS MUNSELL LUMINANCE A B SATURATION RGB HUE HUE_D WARMTH SAT_WITZEL +ID NUMBER ENGLISH CONCEPTICON_ID CONCEPTICON_GLOSS MUNSELL LUMINANCE CIELAB_A CIELAB_B SATURATION RGB HUE HUE_D WARMTH SAT_WITZEL Johansson-2020-11-1 1 black 163 BLACK 0 0 0 0 0, 0, 0 50 Johansson-2020-11-2 2 blue 837 BLUE F29 51.57 -3.41 -48.08 48.2007728153813 0, 129.20085, 205.12965 -0.940055992263306 -53.8612408626702 8.3 40 Johansson-2020-11-3 3 brown 2409 BROWN 37.6704361435912 49.692383592214 30.7308995671741 58.4270585883243 165.0003, 42.00105, 42.00105 0.553855606473604 31.7335887105961 50 diff --git a/concepticondata/conceptlists/Johansson-2020-11.tsv-metadata.json b/concepticondata/conceptlists/Johansson-2020-11.tsv-metadata.json index d6d07626..5ce217c0 100644 --- a/concepticondata/conceptlists/Johansson-2020-11.tsv-metadata.json +++ b/concepticondata/conceptlists/Johansson-2020-11.tsv-metadata.json @@ -52,11 +52,11 @@ }, { "datatype": "float", - "name": "A" + "name": "CIELAB_A" }, { "datatype": "float", - "name": "B" + "name": "CIELAB_B" }, { "datatype": "float",