cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25664586.v2
title: <b>Low dose sGC stimulator (BAY 41-8543) combined with a low dose PDE9 inhibitor (BAY 73-6691)</b><b> reduces renal fibrosis in 5/6 nephrectomized rats</b>

description: Results: 5/6Nx caused an increase of cystatin C, increased proteinuria and glomerulosclerosis, as well as renal interstitial fibrosis. Neither low-dose sGC stimulation nor low-dose PDE9 inhibition alone improved kidney function and morphology in 5/6Nx rats, whereas BAY 41-8543 in combination with BAY 73-6691 attenuated renal interstitial fibrosis in 5/6Nx rats. This beneficial effect could not be explained by alterations of blood pressure (BP) and renal immune system. BP did not differ between groups. BAY 41-8543 in combination with BAY 73-6691 had no effect on renal macrophage, CD4+ T-cell and CD8+ T-cell infiltration in the late-stage of 5/6Nx. RNA sequencing, however, revealed that BAY 41-8543 in combination with BAY 73-6691 down-regulated the expression of several fibrosis-related genes such as Collagen Type I Alpha 1, Collagen Type III Alpha 1 Chain, Collagen Type XIV Alpha 1 Chain, Lumican, Integrin Subunit Alpha 11, as well as Transforming Growth Factor Beta 3.
DOI: 10.15468/dl.qnz6zd
title: Occurrence Download

description: A dataset containing 117870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, United Kingdom of Great Britain and Northern Ireland, Portugal, Spain, France, Germany, Belgium, Netherlands, Italy, Greece, Denmark, Norway, Sweden, Finland, Svalbard and Jan Mayen, Estonia, Latvia, Lithuania, Türkiye, Russian Federation, Belarus, Ukraine, Moldova, Republic of, Switzerland, Austria, Poland, Czechia, Hungary, Slovakia, Romania, Bulgaria, Kazakhstan, Armenia, North Macedonia, Albania, Serbia, Montenegro, Kosovo, Bosnia and Herzegovina, Croatia, Slovenia, Cyprus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Valeriana dioica L."
 ]
}

 The dataset includes 117870 records from 725 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022388-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3hrnf
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 "TaxonKey is one of (Hieracium robinsonii (Zahn) Fernald)"
 ]
}

 The dataset includes 130 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022390-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57754/fdat.9jj4v-6dj64
title: Vector representations of English words and compounds

description: Word representations used in Dima (2019). The vectors were generated from the concatenated encow14ax (https://corporafromtheweb.org/) and English Wikipedia - Müller and Schutze (2015) version, ~9 billion words of text. The corpus was also pre-processed for compounds, i.e. the compounds from the en-comcom dataset were linked with an underscore and treated as a single word - e.g. 'police car' was rewritten to 'police_car'.
Embeddings trained using a minimum word frequency of 100, leading to a vocabulary 424,014 words. The vocabulary words and their frequency in the corpus can be found in the file 'glove_encow14ax_enwiki_9B.400k_min100.vocab'. Word representations with 4 different vector dimensionalities - 50 dimensional, 100 dimensional, 200 dimensional, 300 dimensional.
The embeddings were trained with GloVe, for 15 iterations, using a 10-word symmetric window of text (20 words surrounding a particular word).
                 
MAX_ITER=15
WINDOW_SIZE=10
BINARY=0
NUM_THREADS=8
X_MAX=100
description: Research carried out in work package A03 of the SFB 833.
DOI: 10.57754/fdat.c0cvj-4vk83
title: de-nncom-sem - Dataset of German noun-noun compounds annotated with semantic relations (properties) and prepositions

description: Contains 8005 compounds, annotated with a semantic relation (a property) and a preposition. Each line of the file contains the following information:                 
                 col1 - the data split (if train, test, dev or test-iaa); these data splits were used to produce the results reported in chapter 7 of Dima (2019).
                 col2 - the compound, e.g. Dreiecktuch
                 col3 - the modifier - the first constituent of the word, e.g. Dreieck (note that, like in the case of Dreieck, the modifier can be a compund itself)
                 col4 - the head - the second cosntituent of the word, e.g. Tuch
                 col5 - the collapsed property (German name) - e.g. Aussehen/*; the collapsed property does not take into account the direction of the semantic relation
                 col6 - the individual property (German name) - e.g. Aussehen; the individual property does take into account the direction of the semantic relation
                 col7 - the direction - can be 1 (read as modifier relation head - e.g. Träger Teil Rock for Trägerrock) or 2 (read as head relation modifier, e.g. Mitte Teil Brücke or Brücke Teil* Mitte for for Brückenmitte).
                 col 8 - the English name of the collapsed property, e.g. appearance/*
                 col 9 - the English name of the individual property, e.g. appearance
                 col 10 - the German preposition associated with the compound
The annotations were created in the A3 project of the SFB 833 at the University of Tübingen. See Telljohann et al. (2017) for a description of the annotation guidelines.
DOI: 10.57754/fdat.fx84s-dxe33
title: Vector representations of German words and compounds

description: Word representations used in Dima(2015), Dima (2019). The vectors were generated from the decow14ax corpus (https://corporafromtheweb.org/), ~10 billion words of raw text. Corpus pre-processing: words lowercased, punctuation removed, each number was replaced by the string 'NUMBER'.
Embeddings trained using a minimum word frequency of 100, leading to a vocabulary 1,029,270 words. The vocabulary file 'decow14ax_all_min_100.vocab' contains these word representations and their frequency in the support corpus. 'decow14ax_full.vocab' contains the full vocabulary generated for the corpus (no cut-off).
 The embeddings were trained with GloVe, for 15 iterations, using a 10-word symmetric window of text (20 words surrounding a particular word). The files are suffixed with the dimensionality of the vector representations: 50 dimensional, 100 dimensional, 200 dimensional and 300 dimensional.
                 
MAX_ITER=15
WINDOW_SIZE=10
BINARY=0
NUM_THREADS=8
X_MAX=100
description: Research carried out in work package A03 of the SFB 833.
DOI: 10.15468/dl.r3f49f
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "StateProvince is Sucumbios",
 "TaxonKey is Amphibia",
 "Year 2022-2024"
 ]
}

 The dataset includes 172 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022391-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57754/fdat.6wszk-fkg48
title: German Nominal Compounds Dataset for Compositionality Tests

description: The nominal compounds in this dataset were extracted from the list of 54759 German compounds in GermaNet version 9.0, available at http://www.sfs.uni-tuebingen.de/lsd/compounds.shtml. As specified on the GermaNet page, the list of compound data is free for academic research as defined in GermaNet's academic research licence agreement (http://www.sfs.uni-tuebingen.de/lsd/licenses.shtml).
For any other intended purposes, please contact the GermaNet team.
The following paper describes the automatic compound splitting that is performed before the manual post-correction. If you want to use the split compounds in the context of scientific or research work, please refer to the paper:
                 Verena Henrich and Erhard Hinrichs: Determining Immediate Constituents of Compounds in GermaNet. In Proceedings of Recent Advances in Natural Language Processing (RANLP 2011), Hissar, Bulgaria, September 2011, pp. 420-426.
                 [Download paper: http://www.aclweb.org/anthology/R11-1058]
The initial compound list was filtered to only those compounds that had a minimum frequency of 500 in the DECOW14AX corpus (https://webcorpora.org/), resulting in a list of 34497 compounds, which were split into the train, test and dev splits (with 24147, 6901 and 3449 compounds respectively). The words in the dataset are lowercased, but the original casing can be recovered if needed by consulting the GermaNet database.
The train/test/dev files have the following format:
                 modifier head compound (e.g. abfall tonne abfalltonne)
 For more details about the filtered dataset, as well as some results of compositionality models evaluated on this dataset see Dima (2015). The dataset is also used under the name the "mixed" dataset in Dima (2019).
 
German nominal compounds - semantic composition - compositional distributional representations
description: Research carried out in work package A03 of the SFB 833.
DOI: 10.34740/kaggle/dsv/8459596
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/8459597
title: Data Analyst Job Postings
DOI: 10.34740/kaggle/dsv/8459598
title: Data Scientist - Linkedin Job Postings
DOI: 10.15468/dl.kndtck
title: Occurrence Download

description: A dataset containing 85530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, United Kingdom of Great Britain and Northern Ireland, Portugal, Spain, France, Germany, Belgium, Netherlands, Italy, Greece, Denmark, Norway, Sweden, Finland, Svalbard and Jan Mayen, Estonia, Latvia, Lithuania, Türkiye, Russian Federation, Belarus, Ukraine, Moldova, Republic of, Switzerland, Austria, Poland, Czechia, Hungary, Slovakia, Romania, Bulgaria, Kazakhstan, Armenia, North Macedonia, Albania, Serbia, Montenegro, Kosovo, Bosnia and Herzegovina, Croatia, Slovenia, Cyprus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Valeriana excelsa Poir."
 ]
}

 The dataset includes 85530 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022392-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57754/fdat.sm2mc-njn64
title: English Compounds Dataset for Compositionality Tests

description: The ENglish COMpositionality dataset containing COMpounds (en-comcom) was constructed from two existing compound datasets - the Tratz (2011) dataset and the Ó'Séaghdha (2008) dataset - and a selection of the nominal compounds in the WordNet database.
The Tratz (2011) dataset contains 19158 compounds and is part of the semantically-enriched parser described in Tratz (2011) available at http://www.isi.edu/publications/licensed-sw/fanseparser/
The Ó'Séaghdha (2008) contains 1443 compounds and is available at http://www.cl.cam.ac.uk/~do242/Resources/1443_Compounds.tar.gz
Additional compounds were collected from the WordNet 3.1 (Fellbaum, 1998) 'data.noun' file. The extracted list contained 18775 compounds.
The combination of compounds from the three sources was additionaly pre-processed and frequency-filtered - details in Dima (2019). The final dataset has 27220 compounds. The train, test and dev splits contain 19054, 5444 and 2722 compounds.
The train/test/dev files have the following format:
                  modifier head compound (e.g. police car police_car)
For results of compositionality models evaluated on this dataset see Dima (2016), Dima (2019).
                 Dima, Corina. 2015. Reverse-engineering Language: A Study on the Semantic Compositionality of German Compounds. In Proceedings of EMNLP 2015, Lisbon, Portugal, pp. pp. 1637–1642
                 [Download paper: https://aclweb.org/anthology/D/D15/D15-1188.pdf]
                 - Dima, C. 2016. On the Compositionality and Semantic Interpretation of English Noun Compounds. In Proceedings of the 1st Workshop on Representation Learning for NLP @ ACL 2016, pages 27–39, Berlin, Germany.
                 - Dima, C. 2019. Composition Models for the Representation and Semantic Interpretation of Nominal Compounds. PhD thesis. University of Tübingen.
                 - Fellbaum, C. 1998. WordNet. Wiley Online Library.
                 - Ó Séaghdha, D. 2008. Learning compound noun semantics. PhD thesis, Computer Laboratory, University of Cambridge. Published as University of Cambridge Computer Laboratory Technical Report 735.
                 - Tratz, S. 2011. Semantically-enriched parsing for natural language understanding. PhD thesis, PhD Thesis, University of Southern California.
 
English nominal compounds - compositional distributional representations - semandtic composition
description: Research carried out in work package A03 of the SFB 833.
DOI: 10.57754/fdat.a5q53-yvk06
title: Dataset of German lexicalized and transparent compounds

description: Dataset extracted from the de-nncom-sem annotated dataset (8005 compounds). Contains 648 compounds that are annotated as lexicalized (in some way: lex_M, lex_H, lex_R, lex_HS, lex_MS). An additional 648 compounds that were not marked as lexicalized were randomly extracted from the 8005 dataset and added to this dataset, to make the data balanced.
Filtered for the compounds (and modif, heads) that occur with min freq. 101 in the word embeddings -> 1053.
Removed Medizinfrau, Modepuppe and Abendland to get to a neat 1050 compounds in the dataset (they were above 100).
Example entries:
                 Hefekranz;Hefe;Kranz;lex_HS;1
                 Bruchwand;Bruch;Wand;not_lexicalized;0
                 
The first 3 columns contain the compound, modifier and head. The fourth column contains the lexicalization labels annotated by Dr. Heike Telljohann. The lexicalized examples are coded with 1 on the fifth column, the non-lexicalized with 0.
Columns 5-7 list the frequencies of the compound, modifier and head respectively in the decow14ax full vocabulary.
The file de-ulex_dataset_freq.txt contains the original dataset with 1296 entries, while de-ulex_dataset_freq_gt100_shuf.txt contains the 1050 entries filtered for frequency > 100, which were used in chapter 6 of Dima (2019).
                 
description: Research carried out in work package A03 of the SFB 833.
DOI: 10.57754/fdat.fvkqr-k0v25
title: German Noun-Noun Compounds Dataset for Compositionality Tests

description: The compounds in this dataset were extracted from the list of 54759 German compounds in GermaNet version 9.0, available at http://www.sfs.uni-tuebingen.de/lsd/compounds.shtml. 
As specified on the GermaNet page, the list of compound data is free for academic research as defined in GermaNet's academic research licence agreement (http://www.sfs.uni-tuebingen.de/lsd/licenses.shtml). For any other intended purposes, please contact the GermaNet team.
The following paper describes the automatic compound splitting that is performed before the manual post-correction. If you want to use the split compounds in the context of scientific or research work, please refer to the paper: 

Verena Henrich and Erhard Hinrichs: Determining Immediate Constituents of Compounds in GermaNet. In Proceedings of Recent Advances in Natural Language Processing (RANLP 2011), Hissar, Bulgaria, September 2011, pp. 420-426.  [Download paper: http://www.aclweb.org/anthology/R11-1058]
The initial compound list was filtered to only those compounds that had a minimum frequency of 500 in the DECOW14AX corpus (https://webcorpora.org/), resulting in a list of 34497 compounds, which were split into the train, test and dev splits (with 24147, 6901 and 3449 compounds respectively). The words in the dataset are lowercased, but the original casing can be recovered if needed by consulting the GermaNet database.
The dataset was also filtered only for noun-noun compounds, using the part-of-speech information available in GermaNet. The filtering was done per split, and resulted 18796, 5410 and 2655 compounds in the training, test and dev splits (26861 compounds in total).
The train/test/dev files have the following format:  modifier head compound (e.g. basis tunnel basistunnel)
The dataset is referred to as the "nn-only" dataset in chapter 5 of Dima (2019).
description: Research carried out in work package A03 of the SFB 833.
DOI: 10.15468/dl.vje7uf
title: Occurrence Download

description: A dataset containing 252341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, United Kingdom of Great Britain and Northern Ireland, Portugal, Spain, France, Germany, Belgium, Netherlands, Italy, Greece, Denmark, Norway, Sweden, Finland, Svalbard and Jan Mayen, Estonia, Latvia, Lithuania, Türkiye, Russian Federation, Belarus, Ukraine, Moldova, Republic of, Switzerland, Austria, Poland, Czechia, Hungary, Slovakia, Romania, Bulgaria, Kazakhstan, Armenia, North Macedonia, Albania, Serbia, Montenegro, Kosovo, Bosnia and Herzegovina, Croatia, Slovenia, Cyprus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Valeriana officinalis L."
 ]
}

 The dataset includes 252341 records from 1436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022393-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2zwb4
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dichapetalum dictyospermum Breteler"
 ]
}

 The dataset includes 128 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031222-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w3vr4
title: Occurrence Download

description: A dataset containing 107639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is April",
 "TaxonKey is Columba oenas Linnaeus, 1758"
 ]
}

 The dataset includes 107639 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075426-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpq2q6
title: Occurrence Download

description: A dataset containing 462 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hippocampus bargibanti Whitley, 1970"
 ]
}

 The dataset includes 462 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0347571-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rjmvs
title: Occurrence Download

description: A dataset containing 333 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ceyx lepidus Temminck, 1836"
 ]
}

 The dataset includes 333 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031256-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8k5rar
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Atriplex semibaccata R.Br."
 ]
}

 The dataset includes 450 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130503-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arnpuz
title: Occurrence Download

description: A dataset containing 1122424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "StateProvince is Tasmania",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1122424 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082451-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9yxeh
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Country is Korea, Republic of",
 "TaxonKey is one of (Lotus corniculatus L.)"
 ]
}

 The dataset includes 79 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031223-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqa8k9
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scaphiodontophis annulatus annulatus"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067949-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmgc5p
title: Occurrence Download

description: A dataset containing 7624 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Cortinarius armillatus (Fr.) Fr."
 ]
}

 The dataset includes 7624 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132807-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8svdpd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dimorphanthera seramica Argent & Warwick"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031225-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7wbcu
title: Occurrence Download

description: A dataset containing 11548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fungi",
 "Geometry POLYGON((-121.67358 33.89282,\n -119.27856 28.57544, \n -117.65259 27.67456,\n -115.16418 27.76794,\n -114.62036 28.28979, \n -116.02661 29.14673,\n -116.15295 29.72351,\n -116.97144 31.38794,\n -118.34747 33.57697,\n -119.43787 34.16199,\n -120.31128 34.24438,\n -121.67358 33.89282))"
 ]
}

 The dataset includes 11548 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084990-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.