cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15090309
title: Explore Virtual Reality Painting with Eye Gaze

description: <b>Experiment materials:</b>VR Headset (HTC Vive Pro Eye)Game Engine (Unity).Abstract Artwork (by artist Alison Goodyear)<b>Dataset includes:</b>Eye TrackingVR objects TrackingUser MobilityDataset statistics<br>
DOI: 10.5281/zenodo.5147858
title: XXXX

description: XXXX
DOI: 10.5281/zenodo.5147857
title: XXXX

description: XXXX
DOI: 10.34740/kaggle/dsv/2491409
title: 2021 World Population (updated daily)
DOI: 10.25646/8872
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.34740/kaggle/dsv/2491442
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.4757559
title: XQuAD-ca

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } Professional translation into Catalan of XQuAD dataset (https://github.com/deepmind/xquad). XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi. Rumanian was added later. We added the 13th language to the corpus using also professional native catalan translators. XQuAD and XQuAD-Ca datasets are released under CC-by-sa licence.
DOI: 10.6084/m9.figshare.15000243
title: The complete chloroplast genome of Cycas segmentifida, an endemic specie of Southwest China

description: ML tree of 15 published species within Cycadales and one outgroup Cupressus chengiana. List of genes for phylogenetic analysis.
DOI: 10.6084/m9.figshare.15000243.v2
title: The complete chloroplast genome of Cycas segmentifida, an endemic specie of Southwest China

description: ML tree of 15 published species within Cycadales and one outgroup Cupressus chengiana. List of genes for phylogenetic analysis.
DOI: 10.6084/m9.figshare.15000243.v1
title: The complete chloroplast genome of Cycas segmentifida, an endemic specie of Southwest China

description: ML tree of 15 published species within Cycadales and one outgroup Cupressus chengiana. List of genes for phylogenetic analysis.
DOI: 10.5281/zenodo.4761412
title: ViquiQuAD: an extractive QA dataset from Catalan Wikipedia

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } <em>Dataset de QA extractiu amb 6282 parells de pregunta-resposta desenvolupats a partir d'articles de la Viquipèdia (https://</em>ca.wikipedia.org<em>) </em><em>utilitzats sota la llicència Creative Commons Reconeixement i Compartir-Igual.</em> <em>“ViquiQuAD: an extractive QA dataset from Catalan Wikipedia” es distribueix sota la llicència CC-BY-SA per Carlos Rodríguez y Carme Armentano de la Unitat de Text Mining del BSC - CNS.</em> This dataset contains 3111 contexts extracted from a set of 597 high quality original (no translations) articles in the Catalan Wikipedia "Viquipèdia" (ca.wikipedia.org), and 1 to 5 questions with their answer for each fragment. Viquipedia articles are used under CC-by-sa licence. This dataset can be used to build extractive-QA and Language Models. Funded by the Generalitat de Catalunya, Departament de Polítiques Digitals i Administració Pública (AINA), MT4ALL and Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4562344
title: ViquiQuAD: an extractive QA dataset from Catalan Wikipedia

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } <em>Dataset de QA extractiu amb 6282 parells de pregunta-resposta desenvolupats a partir d'articles de la Viquipèdia (https://</em>ca.wikipedia.org<em>) </em><em>utilitzats sota la llicència Creative Commons Reconeixement i Compartir-Igual.</em> <em>“ViquiQuAD: an extractive QA dataset from Catalan Wikipedia” es distribueix sota la llicència CC-BY-SA per Carlos Rodríguez y Carme Armentano de la Unitat de Text Mining del BSC - CNS.</em> This dataset contains 3111 contexts extracted from a set of 597 high quality original (no translations) articles in the Catalan Wikipedia "Viquipèdia" (ca.wikipedia.org), and 1 to 5 questions with their answer for each fragment. Viquipedia articles are used under CC-by-sa licence. This dataset can be used to build extractive-QA and Language Models. Funded by the Generalitat de Catalunya, Departament de Polítiques Digitals i Administració Pública (AINA), MT4ALL and Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4761430
title: VilaQuAD: an extractive QA dataset from Catalan newswire

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } <em>Dataset de QA extractiu amb 6282 parells de pregunta-resposta desenvolupats a partir de paràgrafs del diari en línia Vilaweb (</em><em>https://www.vilaweb.cat</em><em>) usats sota llicència CC-BY-NC-ND 4.0.</em> This dataset contains 2095 of Catalan language news articles along with 1 to 5 questions referring to each fragment (or context).<br> VilaQuad articles are extracted from the daily Vilaweb (www.vilaweb.cat) and used under CC-by-nc-sa-nd (https://creativecommons.org/licenses/by-nc-nd/3.0/deed.ca) licence.<br> This dataset can be used to build extractive-QA and Language Models. Funded by the Generalitat de Catalunya, Departament de Polítiques Digitals i Administració Pública (AINA), MT4ALL and Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4562337
title: VilaQuAD: an extractive QA dataset from Catalan newswire

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } <em>Dataset de QA extractiu amb 6282 parells de pregunta-resposta desenvolupats a partir de paràgrafs del diari en línia Vilaweb (</em><em>https://www.vilaweb.cat</em><em>) usats sota llicència CC-BY-NC-ND 4.0.</em> This dataset contains 2095 of Catalan language news articles along with 1 to 5 questions referring to each fragment (or context).<br> VilaQuad articles are extracted from the daily Vilaweb (www.vilaweb.cat) and used under CC-by-nc-sa-nd (https://creativecommons.org/licenses/by-nc-nd/3.0/deed.ca) licence.<br> This dataset can be used to build extractive-QA and Language Models. Funded by the Generalitat de Catalunya, Departament de Polítiques Digitals i Administració Pública (AINA), MT4ALL and Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4761434
title: Semantic Textual Similarity in Catalan

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } STS corpus is a benchmark for evaluating Semantic Text Similarity in Catalan.<br> It consists of more than 3000 sentence pairs, annotated with the semantic similarity between them, using a scale from 0 (no similarity at all) to 5 (semantic equivalence). It is done manually by 4 different annotators following our guidelines based on previous work from the SemEval challenges (https://www.aclweb.org/anthology/S13-1004.pdf). The source data are scraped sentences from the Catalan Textual Corpus (https://doi.org/10.5281/zenodo.4519349), used under CC-by-SA-4.0 licence (https://creativecommons.org/licenses/by-sa/4.0/). The dataset is released under the same licence. This dataset was developed by BSC TeMU as part of the AINA project, and to enrich the Catalan Language Understanding Benchmark (CLUB). This is the version 1.0.2 of the dataset with the complete human and automatic annotations and the analysis scripts. It also has a more accurate license. This dataset can be used to build and score semantic similiarity models. <em>Corpus per evaluar STS en català.</em> <em>Consta de 3079 parells de frases, anotades segons el grau de similitud semàntica que tenen, segons una escala que va de 0 (no s'assemblen gens) a 5 (són equivalents). L'anotació ha estat feta manualment per 4 persones segons les nostres guies, basades en els SemEval Callenges (https://www.aclweb.org/anthology/S13-1004.pdf)</em> <em>Aquest dataset ha estat desenvolupat pel la unitat de Text mining del BSC en el marc del projecte Aina.</em>
DOI: 10.5281/zenodo.4529183
title: Semantic Textual Similarity in Catalan

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } STS corpus is a benchmark for evaluating Semantic Text Similarity in Catalan.<br> It consists of more than 3000 sentence pairs, annotated with the semantic similarity between them, using a scale from 0 (no similarity at all) to 5 (semantic equivalence). It is done manually by 4 different annotators following our guidelines based on previous work from the SemEval challenges (https://www.aclweb.org/anthology/S13-1004.pdf). The source data are scraped sentences from the Catalan Textual Corpus (https://doi.org/10.5281/zenodo.4519349), used under CC-by-SA-4.0 licence (https://creativecommons.org/licenses/by-sa/4.0/). The dataset is released under the same licence. This dataset was developed by BSC TeMU as part of the AINA project, and to enrich the Catalan Language Understanding Benchmark (CLUB). This is the version 1.0.2 of the dataset with the complete human and automatic annotations and the analysis scripts. It also has a more accurate license. This dataset can be used to build and score semantic similiarity models. <em>Corpus per evaluar STS en català.</em> <em>Consta de 3079 parells de frases, anotades segons el grau de similitud semàntica que tenen, segons una escala que va de 0 (no s'assemblen gens) a 5 (són equivalents). L'anotació ha estat feta manualment per 4 persones segons les nostres guies, basades en els SemEval Callenges (https://www.aclweb.org/anthology/S13-1004.pdf)</em> <em>Aquest dataset ha estat desenvolupat pel la unitat de Text mining del BSC en el marc del projecte Aina.</em>
DOI: 10.5281/zenodo.4761458
title: TECA: Textual Entailment Catalan dataset

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } <em>TECA són dos subsets de TE en Català, catalan_TE1 i vilaweb_TE, que contenen 14997 i 6166 parells de premisses i hipòtesis, anotades segons la relació d'inferència que tenen (implicació, contradicció o neutra).</em> TECa contains two Catalan TE sub-datasets, catalan_TE1 and vilaweb_TE, containing 14997 and 6166 annotated pairs of sentences. "Textual entailment (TE) in natural language processing is a directional relation between text fragments. The relation holds whenever the truth of one text fragment follows from another text. In the TE framework, the entailing and entailed texts are termed text (t) and hypothesis (h), respectively." From Wikpedia. In TECa datasets, each sentence has three hypotheses, annotated as follows: * "0": positive TE (Inference, text entails hypothesis) * "1": non-TE (Neutral, text does not entail nor contradict) * "2": negative TE (Contradiction, text contradicts hypothesis). Source sentences are extracted from the Catalan Textual Corpus (https://doi.org/10.5281/zenodo.4519349), and from Vilaweb newswire. Both sub-datasets are released under CC-by-4.0 licence.
DOI: 10.5281/zenodo.4593271
title: TECA: Textual Entailment Catalan dataset

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } <em>TECA són dos subsets de TE en Català, catalan_TE1 i vilaweb_TE, que contenen 14997 i 6166 parells de premisses i hipòtesis, anotades segons la relació d'inferència que tenen (implicació, contradicció o neutra).</em> TECa contains two Catalan TE sub-datasets, catalan_TE1 and vilaweb_TE, containing 14997 and 6166 annotated pairs of sentences. "Textual entailment (TE) in natural language processing is a directional relation between text fragments. The relation holds whenever the truth of one text fragment follows from another text. In the TE framework, the entailing and entailed texts are termed text (t) and hypothesis (h), respectively." From Wikpedia. In TECa datasets, each sentence has three hypotheses, annotated as follows: * "0": positive TE (Inference, text entails hypothesis) * "1": non-TE (Neutral, text does not entail nor contradict) * "2": negative TE (Contradiction, text contradicts hypothesis). Source sentences are extracted from the Catalan Textual Corpus (https://doi.org/10.5281/zenodo.4519349), and from Vilaweb newswire. Both sub-datasets are released under CC-by-4.0 licence.
DOI: 10.5517/ccdc.csd.cc26qpbz
title: CCDC 2047591: Experimental Crystal Structure Determination

description: Related Article: Stanislav Melnikov, Igor Evstifeev, Stanislav Nikolaevskii, Ivan Ananyev, Evgenia Varaksina, Ilya Taydakov, Alexander Goloveshkin, Aleksei Sidorov, Mikhail Kiskin, Igor Eremenko|2021|New J.Chem.|45|13349|doi:10.1039/D0NJ05994C
DOI: 10.5517/ccdc.csd.cc26qr1r
title: CCDC 2047644: Experimental Crystal Structure Determination

description: Related Article: Stanislav Melnikov, Igor Evstifeev, Stanislav Nikolaevskii, Ivan Ananyev, Evgenia Varaksina, Ilya Taydakov, Alexander Goloveshkin, Aleksei Sidorov, Mikhail Kiskin, Igor Eremenko|2021|New J.Chem.|45|13349|doi:10.1039/D0NJ05994C
DOI: 10.5517/ccdc.csd.cc26qr2s
title: CCDC 2047645: Experimental Crystal Structure Determination

description: Related Article: Stanislav Melnikov, Igor Evstifeev, Stanislav Nikolaevskii, Ivan Ananyev, Evgenia Varaksina, Ilya Taydakov, Alexander Goloveshkin, Aleksei Sidorov, Mikhail Kiskin, Igor Eremenko|2021|New J.Chem.|45|13349|doi:10.1039/D0NJ05994C
DOI: 10.5517/ccdc.csd.cc26qr4v
title: CCDC 2047647: Experimental Crystal Structure Determination

description: Related Article: Stanislav Melnikov, Igor Evstifeev, Stanislav Nikolaevskii, Ivan Ananyev, Evgenia Varaksina, Ilya Taydakov, Alexander Goloveshkin, Aleksei Sidorov, Mikhail Kiskin, Igor Eremenko|2021|New J.Chem.|45|13349|doi:10.1039/D0NJ05994C
DOI: 10.5517/ccdc.csd.cc26qr5w
title: CCDC 2047648: Experimental Crystal Structure Determination

description: Related Article: Stanislav Melnikov, Igor Evstifeev, Stanislav Nikolaevskii, Ivan Ananyev, Evgenia Varaksina, Ilya Taydakov, Alexander Goloveshkin, Aleksei Sidorov, Mikhail Kiskin, Igor Eremenko|2021|New J.Chem.|45|13349|doi:10.1039/D0NJ05994C
DOI: 10.5517/ccdc.csd.cc260pjg
title: CCDC 2026455: Experimental Crystal Structure Determination

description: Related Article: A-Di Xie, Ming-Gai Hu, Yu-Hui Luo, Xiang-Gui Zhu, Zhi-Hui Wang, Wu-Yue Geng, Hao Zhang, Dong-En Zhang, Hong Zhang|2021|New J.Chem.|45|13406|doi:10.1039/D1NJ01643A
DOI: 10.5517/ccdc.csd.cc276qjq
title: CCDC 2062043: Experimental Crystal Structure Determination

description: Related Article: Michael A. Land, Katherine N. Robertson, Kai E. O. Ylijoki, Jason A. C. Clyburne|2021|New J.Chem.|45|13558|doi:10.1039/D1NJ02298A
DOI: 10.5517/ccdc.csd.cc276qkr
title: CCDC 2062044: Experimental Crystal Structure Determination

description: Related Article: Michael A. Land, Katherine N. Robertson, Kai E. O. Ylijoki, Jason A. C. Clyburne|2021|New J.Chem.|45|13558|doi:10.1039/D1NJ02298A
DOI: 10.5517/ccdc.csd.cc276qls
title: CCDC 2062045: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc276qmt
title: CCDC 2062046: Experimental Crystal Structure Determination

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DOI: 10.48370/ofd/bejf5o/qupecs
title: HMW_Bolboschoenus_maritimus_(L.)_Palla_H_7520.jpg

description: :unav
DOI: 10.48370/ofd/bejf5o
title: Sitowiec nadmorski (Bolboschoenus maritimus (L.) Palla), 7520

description: Herbarium
DOI: 10.48370/ofd/kgvk4s/37fyi2
title: HMW_Bolboschoenus_maritimus_(L.)_Palla_H_3969.jpg

description: :unav
DOI: 10.48370/ofd/kgvk4s
title: Sitowiec nadmorski (Bolboschoenus maritimus (L.) Palla), 3969

description: Herbarium
DOI: 10.48370/ofd/y8fmxg/maog0m
title: HMW_Bolboschoenus_maritimus_(L.)_Palla_H_3965.jpg

description: :unav
DOI: 10.48370/ofd/y8fmxg
title: Sitowiec nadmorski (Bolboschoenus maritimus (L.) Palla), 3965

description: Herbarium
DOI: 10.48370/ofd/kemhnx/6rxj0z
title: HMW_Comarum_palustre_L._H_0954.jpg

description: :unav
DOI: 10.48370/ofd/kemhnx
title: Siedmiopalecznik błotny (Comarum palustre L.), 954

description: Herbarium
DOI: 10.48370/ofd/p517pk/jagxwv
title: HMW_Comarum_palustre_L._H_0840.jpg

description: :unav