cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/ucmrah
title: A new species of Pestalotiopsis from leaf spots of Licuala grandis from Hainan, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Geng, Kun, Zhang, Bin, Song, Yu, Hyde, Kevin D., Kang, Ji-Chuan, Wang, Yong (2013): A new species of Pestalotiopsis from leaf spots of Licuala grandis from Hainan, China. Phytotaxa 88 (3): 49-54, DOI: 10.11646/phytotaxa.88.3.2, URL: http://dx.doi.org/10.11646/phytotaxa.88.3.2
DOI: 10.6084/m9.figshare.14903103
title: Aprendizado de Máquina para Descoberta de Conhecimento no RHC: Um estudo sobre câncer de boca

description: Tabela suplementar com regras de associação obtidas do estudo feito na base de dados dos Registros Hospitalares de Câncer (RHC) para os registros de câncer de boca. <br>Para representar os valores de confiança e suporte em valores percentuais é necessário somente a multiplicação por 100.
DOI: 10.6084/m9.figshare.14903103.v2
title: Aprendizado de Máquina para Descoberta de Conhecimento no RHC: Um estudo sobre câncer de boca

description: Tabela suplementar com regras de associação obtidas do estudo feito na base de dados dos Registros Hospitalares de Câncer (RHC) para os registros de câncer de boca.
DOI: 10.5519/qd.ve06nvsq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8754 records)
DOI: 10.15468/uw2u79
title: Studies on Neotropical crickets: A new Anurogryllina genus (Orthoptera Gryllidae: Gryllinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cadena-Castañeda, Oscar J., Rodríguez, Martha Carolina Vásquez, Gonzalez, Gloria Raquel Dávila, López, Víctor Hugo Grande (2021): Studies on Neotropical crickets: A new Anurogryllina genus (Orthoptera Gryllidae: Gryllinae). Zootaxa 4985 (3): 371-380, DOI: https://doi.org/10.11646/zootaxa.4985.3.4
DOI: 10.15468/qzfyay
title: A new freshwater chrysophyte, Chrysomorula cohaerens gen. et sp. nov. (Chrysophyceae, Chrysocapsaceae) from North America

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wujek, Daniel E. (2013): A new freshwater chrysophyte, Chrysomorula cohaerens gen. et sp. nov. (Chrysophyceae, Chrysocapsaceae) from North America. Phytotaxa 93 (2): 61-64, DOI: 10.11646/phytotaxa.93.2.2, URL: https://www.mendeley.com/catalogue/0f5e23ea-3c03-38f5-985b-cf2ff22cb7dd/
DOI: 10.15468/5wtq5e
title: A new Tardigrade species, Stygarctus keralensis sp. nov. (Arthrotardigrada Stygarctidae) from the intertidal zone of Southwest coast of India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Vishnudattan, N. K., Nandan, S. Bijoy, Hansen, J. G., Jayachandran, P. R. (2021): A new Tardigrade species, Stygarctus keralensis sp. nov. (Arthrotardigrada Stygarctidae) from the intertidal zone of Southwest coast of India. Zootaxa 4985 (3): 381-391, DOI: https://doi.org/10.11646/zootaxa.4985.3.5
DOI: 10.15468/9fvrnh
title: A new reptant species of Leandra (Melastomataceae, Miconieae) from the Atlantic Forest, southeastern Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Goldenberg, Renato, Reginato, Marcelo (2013): A new reptant species of Leandra (Melastomataceae, Miconieae) from the Atlantic Forest, southeastern Brazil. Phytotaxa 94 (1): 23-29, DOI: 10.11646/phytotaxa.94.1.3, URL: http://dx.doi.org/10.11646/phytotaxa.94.1.3
DOI: 10.15468/btdmgn
title: A new species of Philodendron (Araceae) and a key to Brazilian Atlantic Forest species of P. subgenus Pteromischum

description: This dataset contains the digitized treatments in Plazi based on the original journal article Calazans, Luana S. B., Sakuragui, Cassia M. (2013): A new species of Philodendron (Araceae) and a key to Brazilian Atlantic Forest species of P. subgenus Pteromischum. Phytotaxa 94 (2): 49-55, DOI: 10.11646/phytotaxa.94.2.3, URL: http://dx.doi.org/10.11646/phytotaxa.94.2.3
DOI: 10.6084/m9.figshare.14912787.v1
title: Arthropod community matrix

description: Community matrix for insects and non-insect arthropods
DOI: 10.6084/m9.figshare.14912787
title: Arthropod community matrix

description: Community matrix for insects and non-insect arthropods
DOI: 10.15468/7ebz7k
title: A new species of Ephoron Williamson, 1802 (Ephemeroptera: Polymitarcyidae) from Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Techakijvej, Chotiwut, Sareein, Nattawut, Hwang, Jeong Mi, Bae, Yeon Jae, Phalaraksh, Chitchol (2021): A new species of Ephoron Williamson, 1802 (Ephemeroptera: Polymitarcyidae) from Thailand. Zootaxa 4985 (3): 392-402, DOI: https://doi.org/10.11646/zootaxa.4985.3.6
DOI: 10.15468/kkvvzm
title: A new species of the genus Luzulaspis (Hemiptera: Coccomorpha: Coccidae) from Hokkaido Island, Japan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tanaka, Hirotaka, Sasaki, Daisuke, Kamitani, Satoshi (2021): A new species of the genus Luzulaspis (Hemiptera: Coccomorpha: Coccidae) from Hokkaido Island, Japan. Zootaxa 4985 (3): 414-422, DOI: https://doi.org/10.11646/zootaxa.4985.3.8
DOI: 10.15468/h2teuq
title: Two new species of Neotropical Leptomorphus Curtis (Diptera: Mycetophilidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fitzgerald, Scott J. (2021): Two new species of Neotropical Leptomorphus Curtis (Diptera: Mycetophilidae). Zootaxa 4985 (3): 423-431, DOI: https://doi.org/10.11646/zootaxa.4985.3.9
DOI: 10.15468/qgjzxa
title: Notes on Early Land Plants Today. 39. Microlejeunea indica (Marchantiophyta, Lejeuneaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wei, Yu-Mei, Zhu, Rui-Liang (2013): Notes on Early Land Plants Today. 39. Microlejeunea indica (Marchantiophyta, Lejeuneaceae). Phytotaxa 97 (2): 63-64, DOI: 10.11646/phytotaxa.97.2.6, URL: https://www.mendeley.com/catalogue/423d425c-e245-3d5a-8941-a110ecb139a4/
DOI: 10.15468/ru547n
title: A new species of Herminium (Orchidoideae, Orchidaceae) from Nepal

description: This dataset contains the digitized treatments in Plazi based on the original journal article Raskoti, Bhakta Bahadur (2013): A new species of Herminium (Orchidoideae, Orchidaceae) from Nepal. Phytotaxa 98 (1): 23-26, DOI: 10.11646/phytotaxa.98.1.3, URL: http://dx.doi.org/10.11646/phytotaxa.98.1.3
DOI: 10.5281/zenodo.5071539
title: Tutorial output for Tourmaline amplicon sequence processing workflow

description: Tutorial output for the Tourmaline amplicon sequence processing workflow. Tourmaline was run on the test data provided in the directory 00-data, which were downloaded along with the rest of the repository using this command: <pre><code>git clone https://github.com/aomlomics/tourmaline</code></pre> Reference data were downloaded and symlinked using these commands: <pre><code>cd tourmaline/01-imported wget https://data.qiime2.org/2021.2/common/silva-138-99-seqs-515-806.qza wget https://data.qiime2.org/2021.2/common/silva-138-99-tax-515-806.qza ln -s silva-138-99-seqs-515-806.qza refseqs.qza ln -s silva-138-99-tax-515-806.qza reftax.qza</code></pre> Paths in 00-data/manifest_pe.csv and 00-data/manifest_se.csv were edited to match the local paths. Output for all modes of the workflow were then generated in series: <pre><code>conda activate qiime2-2021.2 snakemake dada2_pe_report_unfiltered snakemake dada2_pe_report_filtered snakemake dada2_se_report_unfiltered snakemake dada2_se_report_filtered snakemake deblur_se_report_unfiltered snakemake deblur_se_report_filtered</code></pre>
DOI: 10.5281/zenodo.5069806
title: Supplementary data for the manuscript: Image2SMILES: Transformer-based Molecular Optical Recognition Engine

description: This is the supplementary data for the manuscript: Image2SMILES: Transformer-based Molecular Optical Recognition Engine It contains pairs of image-string, generated from 1M SMILES strings. These strings were randomly chosen from PubChem database.<br> It was prepared using the code, published at https://github.com/syntelly/img2smiles_generator/ To unpack do:<br> <em>tar xvf subset_1M.tar.xz && tar xvf subset_1M_dump.tar.gz && rm subset_1M_dump.tar.gz</em> You'll get the following data: subset_1M.smi - list of 1M source SMILES subset_1M_dump - directory with images subset_1M_result.csv - list of pairs FGSMILES - pathcode, first 3 chars of pathcode are corresponding subdirs in subset_1M_dump subset_1M_fails.csv - list of failed molecules from subset_1M.smi subset_1M_grpcounter.lst - list of counted groups, used in this generation You can generate your own data using https://github.com/syntelly/img2smiles_generator/
DOI: 10.5281/zenodo.5069805
title: Supplementary data for the manuscript: Image2SMILES: Transformer-based Molecular Optical Recognition Engine

description: This is the supplementary data for the manuscript: Image2SMILES: Transformer-based Molecular Optical Recognition Engine It contains pairs of image-string, generated from 1M SMILES strings. These strings were randomly chosen from PubChem database.<br> It was prepared using the code, published at https://github.com/syntelly/img2smiles_generator/ To unpack do:<br> <em>tar xvf subset_1M.tar.xz && tar xvf subset_1M_dump.tar.gz && rm subset_1M_dump.tar.gz</em> You'll get the following data: subset_1M.smi - list of 1M source SMILES subset_1M_dump - directory with images subset_1M_result.csv - list of pairs FGSMILES - pathcode, first 3 chars of pathcode are corresponding subdirs in subset_1M_dump subset_1M_fails.csv - list of failed molecules from subset_1M.smi subset_1M_grpcounter.lst - list of counted groups, used in this generation You can generate your own data using https://github.com/syntelly/img2smiles_generator/
DOI: 10.5281/zenodo.5060311
title: Data: Metabolomic Approaches to Studying the Response to Drought Stress in Corn (Zea mays) Cobs

description: All data associated associated with the manuscript https://doi.org/10.3390/metabo11070438. Raw metabolomics data files (.Mzml) obtained on solariX FTICR and ms/ms spectral files (.raw) from Fusion orbitrap MS. zip file includes sample and folder descriptions.
DOI: 10.5281/zenodo.5060310
title: Data: Metabolomic Approaches to Studying the Response to Drought Stress in Corn (Zea mays) Cobs

description: All data associated associated with the manuscript https://doi.org/10.3390/metabo11070438. Raw metabolomics data files (.Mzml) obtained on solariX FTICR and ms/ms spectral files (.raw) from Fusion orbitrap MS. zip file includes sample and folder descriptions.
DOI: 10.5281/zenodo.5063017
title: GRDM

description: GRDM
DOI: 10.6084/m9.figshare.14912838
title: Soils chemical & physical data

description: Two files:<br>1. Bulk density<br>2. Chemical properties & textures report from BC Ministry of Environment analytical chemistry lab, including pH, Nitrogen, Phosphorus, texture, total carbon, active carbon, organic carbon.
DOI: 10.6084/m9.figshare.14912844
title: Food production data

description: Food production data as reported through conversations with perennial farmers. <br>Data mainly from 2017 season, with some for 2018 and 2019.<br>Data includes conversion to edible portion, standard units & calories.
DOI: 10.14469/hpc/8045
title: Materials Precursor Score: Modelling Chemists’ Intuition for the Synthetic Accessibility of Porous Organic Cage Precursors

description: Contains all cages optimised for the paper: Materials Precursor Score: Modelling Chemists’ Intuition for the Synthetic Accessibility of Porous Organic Cages. Cages and their properties are provided as a single JSON file with cage properties and dictionaries to load cages within stk. Scores achieved by the random forest model during hyperparameter optimisation are also available.
DOI: 10.6084/m9.figshare.14912856
title: Plants community matrix

description: Two files:<br>1. Community matrix for plants found in quadrats (with % cover)<br>2. Community matrix for plants found by scouting around reach sampling point (presence/absence)
DOI: 10.6084/m9.figshare.14912856.v1
title: Plants community matrix

description: Two files:<br>1. Community matrix for plants found in quadrats (with % cover)<br>2. Community matrix for plants found by scouting around reach sampling point (presence/absence)
DOI: 10.6084/m9.figshare.14912868
title: Farm and field information

description: Information on the ages, cover types, and paired conventional sites of each farm field.
DOI: 10.6084/m9.figshare.14912871
title: Carbon stock records

description: Two files:<br>1. Database with sources on perennial staple crop carbon accumulation and standing stocks (including sources with above-ground, below-ground, and soils or only one or two of these). Sources reporting rates and standing stocks are included.<br>2. Sheet with estimates and projections of standing carbon stocks (incl aboveground & belowground biomas and soils) for perennial staple crops with area estimates. <br>
DOI: 10.6084/m9.figshare.14912871.v1
title: Carbon stock records

description: Two files:<br>1. Database with sources on perennial staple crop carbon accumulation and standing stocks (including sources with above-ground, below-ground, and soils or only one or two of these). Sources reporting rates and standing stocks are included.<br>2. Sheet with estimates and projections of standing carbon stocks (incl aboveground & belowground biomas and soils) for perennial staple crops with area estimates. <br>
DOI: 10.6084/m9.figshare.12121104
title: Yields records

description: Two files:<br><br>1. Database of perennial species and annual comparison species with yields. Each species has as many lines as there are yield records (one line per record). It contains columns that calculate the edible dry weight per unit area for each reported raw yield. For crops that have UN data, each line is a record from one country averaged over the years 2013-2017. <br><br>2. Full reference list for crop yield data
DOI: 10.6084/m9.figshare.14912820
title: COD-Database

description: COD database in jarvis Atoms format<br>https://doi.org/10.1107/S1600576720016532<br>
DOI: 10.6084/m9.figshare.14912820.v1
title: COD-Database

description: COD database in jarvis Atoms format<br>https://doi.org/10.1107/S1600576720016532<br>
DOI: 10.6084/m9.figshare.14912835
title: QM9 Faber et al.

description: QM9 standardized vale dataset in jarvis Atoms format.Taken from: https://pubs.acs.org/doi/10.1021/acs.jctc.7b00577<br>https://drive.google.com/open?id=0Bzn36Iqm8hZscHFJcVh5aC1mZFU<br>
DOI: 10.5281/zenodo.5068735
title: Noisy OCR Dataset (NOD)

description: This dataset contains 18,504 images of English and Arabic documents with ground truth for use in OCR benchmarking. It consists of two collections, "Old Books" (English) and "Yarmouk" (Arabic), each of which contains an image set reproduced in 44 versions with different types and degrees of artificially generated noise. The dataset was originally developed for Hegghammer (2021). <strong>Source images</strong> The seed of the English collection was the "Old Books Dataset" (Barcha 2017), a set of 322 page scans from English-language books printed between 1853 and 1920. The seed of the Arabic collection was a randomly selected subset of 100 pages from the "Yarmouk Arabic OCR Dataset" (Abu Doush et al. 2018), which consists of 4,587 Arabic Wikipedia articles printed to paper and scanned to PDF. <strong>Artificial noise application</strong> The dataset was created as follows:<br> - First a greyscale version of each image was created, so that there were two versions (colour and greyscale) with no added noise. <br> - Then six ideal types of image noise --- "blur", "weak ink", "salt and pepper", "watermark", "scribbles", and "ink stains" --- were applied both to the colour version and the binary version of the images, thus creating 12 additional versions of each image. The R code used to generate the noise is included in the repository.<br> - Lastly, all available combinations of *two* noise filters were applied to the colour and binary images, for an additional 30 versions. This yielded a total of 44 image versions divided into three categories of noise intensity: 2 versions with no added noise, 12 versions with one layer of noise, and 30 versions with two layers of noise. This amounted to an English corpus of 14,168 documents and an Arabic corpus of 4,400 documents. The compressed archive is ~26 GiB, and the uncompressed version is ~193 GiB. See this link for how to unzip <em>.tar.lzma</em> files. <strong>References:</strong> Barcha, Pedro. 2017. “Old Books Dataset.” GitHub Repository. <em>GitHub</em>. https:<br> //github.com/PedroBarcha/old-books-dataset. Doush, Iyad Abu, Faisal AlKhateeb, and Anwaar Hamdi Gharibeh. 2018. “Yarmouk<br> Arabic OCR Dataset.” In <em>2018 8th International Conference on Computer Science<br> and Information Technology (CSIT)</em>, 150–54. IEEE. Hegghammer, Thomas. 2021. "OCR with Tesseract, Amazon Textract, and Google Document AI: A Benchmarking Experiment". <em>Socarxiv</em>. https://osf.io/preprints/socarxiv/6zfvs
DOI: 10.5281/zenodo.5068734
title: Noisy OCR Dataset (NOD)

description: This dataset contains 18,504 images of English and Arabic documents with ground truth for use in OCR benchmarking. It consists of two collections, "Old Books" (English) and "Yarmouk" (Arabic), each of which contains an image set reproduced in 44 versions with different types and degrees of artificially generated noise. The dataset was originally developed for Hegghammer (2021). <strong>Source images</strong> The seed of the English collection was the "Old Books Dataset" (Barcha 2017), a set of 322 page scans from English-language books printed between 1853 and 1920. The seed of the Arabic collection was a randomly selected subset of 100 pages from the "Yarmouk Arabic OCR Dataset" (Abu Doush et al. 2018), which consists of 4,587 Arabic Wikipedia articles printed to paper and scanned to PDF. <strong>Artificial noise application</strong> The dataset was created as follows:<br> - First a greyscale version of each image was created, so that there were two versions (colour and greyscale) with no added noise. <br> - Then six ideal types of image noise --- "blur", "weak ink", "salt and pepper", "watermark", "scribbles", and "ink stains" --- were applied both to the colour version and the binary version of the images, thus creating 12 additional versions of each image. The R code used to generate the noise is included in the repository.<br> - Lastly, all available combinations of *two* noise filters were applied to the colour and binary images, for an additional 30 versions. This yielded a total of 44 image versions divided into three categories of noise intensity: 2 versions with no added noise, 12 versions with one layer of noise, and 30 versions with two layers of noise. This amounted to an English corpus of 14,168 documents and an Arabic corpus of 4,400 documents. The compressed archive is ~26 GiB, and the uncompressed version is ~193 GiB. See this link for how to unzip <em>.tar.lzma</em> files. <strong>References:</strong> Barcha, Pedro. 2017. “Old Books Dataset.” GitHub Repository. <em>GitHub</em>. https:<br> //github.com/PedroBarcha/old-books-dataset. Doush, Iyad Abu, Faisal AlKhateeb, and Anwaar Hamdi Gharibeh. 2018. “Yarmouk<br> Arabic OCR Dataset.” In <em>2018 8th International Conference on Computer Science<br> and Information Technology (CSIT)</em>, 150–54. IEEE. Hegghammer, Thomas. 2021. "OCR with Tesseract, Amazon Textract, and Google Document AI: A Benchmarking Experiment". <em>Socarxiv</em>. https://osf.io/preprints/socarxiv/6zfvs
DOI: 10.5519/qd.vxy7gwvr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7058 records)
DOI: 10.5281/zenodo.5072546
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.25345/c5pn9p
title: MassIVE MSV000087756 - Profiling of Pancreatic Ductal Adenocarcinoma using serum lipidomics
title: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer due to its rapid progression, marked potential for metastasis and the difficulty in diagnosis1-3. However, there are no effective liquid tests currently available for PDAC detection besides CA19-9. Here we introduce a noninvasive detection approach that employs machine learning plus untargeted and targeted serum lipidomics to establish an accurate method to detect PDAC.
DOI: 10.6084/m9.figshare.12017136.v1
title: Regulating wildlife conservation and food safety to prevent human exposure to novel virus

description: Epidemiological investigation suggested that the current outbreak of COVID-19 virus was associated with a seafood market, and COVID-19 has been identified a probable bat origin. Similar to SARS event in 2003, such a zoonotic disease showed an animal-to-person and even more serious person-to-person spread, and posed a significant threat to the global health and socio-economic development. We analyzed the association of both outbreaks with wildlife diet in China and proposed suggestions for regulating wildlife conservation and food safety to prevent human exposure to the novel virus, including increasing social awareness of hazards in eating wild animals, strengthening legislation on eating and trading of wild animals, improving the standards for food safety, and establishing market supervision mechanism. Regulatory intervention is not only critical for China but also for other countries where wildlife hunting is prevalent to prevent from novel virus exposures.
DOI: 10.6084/m9.figshare.12017136
title: Regulating wildlife conservation and food safety to prevent human exposure to novel virus

description: Epidemiological investigation suggested that the current outbreak of COVID-19 virus was associated with a seafood market, and COVID-19 has been identified a probable bat origin. Similar to SARS event in 2003, such a zoonotic disease showed an animal-to-person and even more serious person-to-person spread, and posed a significant threat to the global health and socio-economic development. We analyzed the association of both outbreaks with wildlife diet in China and proposed suggestions for regulating wildlife conservation and food safety to prevent human exposure to the novel virus, including increasing social awareness of hazards in eating wild animals, strengthening legislation on eating and trading of wild animals, improving the standards for food safety, and establishing market supervision mechanism. Regulatory intervention is not only critical for China but also for other countries where wildlife hunting is prevalent to prevent from novel virus exposures.
DOI: 10.6084/m9.figshare.14776176
title: DelphiPruebaIngreso.xlsx

description: The data indicates the experimental results of two Delphi rounds. Both rounds ask for a probable prognosis of the results on a college entrance test. The data contains the most probable perception perceived, bounded by its minimum and maximum values. The data also contains information on the levels of security and insecurity of each individual, at the time of issuing their response.
DOI: 10.6084/m9.figshare.14776278
title: PhDThesis.sav

description: Bibliometric and content study of 1000 Cuban doctoral theses, all in the field of educational research. The study focuses the research methods that are implemented in each thesis.
DOI: 10.6084/m9.figshare.14776287
title: MethodPerception.csv

description: Comparative study of the perception of MSc and PhD, about a set of research methods in the field of education.
DOI: 10.6084/m9.figshare.14776278.v1
title: PhDThesis.sav

description: Bibliometric and content study of 1000 Cuban doctoral theses, all in the field of educational research. The study focuses the research methods that are implemented in each thesis.