cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1770406.08fu
title: SH1770406.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1770407.08fu
title: SH1770407.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh404125.07fu
title: SH404125.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh404126.07fu
title: SH404126.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh404127.07fu
title: SH404127.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1770408.08fu
title: SH1770408.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/84ph9rpnhr.1
title: Data for: Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain

description: Shareable data, code, and supplementary figures related to the establishment and calibration of a spatially distributed catchment-scale model of alpine snow dynamics
DOI: 10.23641/asha.14265365
title: Spoken vocabulary outcomes of toddlers with DD (Walters et al., 2021)

description: <b>Purpose: </b>Early intervention using augmentative and alternative communication (AAC) supports both receptive and expressive language skills. However, many parents and clinicians still worry that augmented language intervention might delay or impair speech development. This study aimed to (a) characterize and analyze the speech sound development of toddlers with developmental delay who participated in a parent-implemented language intervention; (b) examine the accuracy of speech sounds among toddlers who participated in an augmented language intervention using speech-generating devices and toddlers who participated in a traditional, spoken language intervention; and (c) examine the relationship between baseline factors (i.e., receptive and expressive language skills, vocal imitation, and number of unintelligible utterances) and the number of spoken target vocabulary words after intervention.<b>Method: </b>This study used extant data from two randomized control trials of parent-implemented language interventions using AAC or spoken language. Out of 109 children who completed the intervention, 45 children produced spoken target vocabulary words at the end of the intervention. We identified and phonetically transcribed spoken target vocabulary words for each child and then classified them based on Shriberg and Kwiatkowski’s (1982) developmental sound classes.<b>Results: </b>Children’s speech sound accuracy was not significantly different across intervention groups. Overall, children who produced more words had more speech sound errors and higher baseline language scores. Intervention group and baseline receptive and expressive language skills significantly predicted the number of spoken target vocabulary words produced at the end of intervention.<b>Conclusions: </b>Participation in AAC intervention resulted in significantly more spoken target vocabulary words and no statistically significant differences in speech sound errors when compared to children who received spoken language intervention without AAC. Results support using AAC interventions for very young children without the fear that it will delay speech or spoken language development.<br><b>Supplemental Material S1.</b> Missing data: Descriptive statistics between raw and transformed data.<br>Walters, C., Sevcik, R. A., Romski, M. (2021). Spoken vocabulary outcomes of toddlers with developmental delay after parent-implemented augmented language intervention. <i>American Journal of Speech-Language Pathology</i>. Advance online publication. https://doi.org/10.1044/2020_AJSLP-20-00093
DOI: 10.23641/asha.14265365.v1
title: Spoken vocabulary outcomes of toddlers with DD (Walters et al., 2021)

description: <b>Purpose: </b>Early intervention using augmentative and alternative communication (AAC) supports both receptive and expressive language skills. However, many parents and clinicians still worry that augmented language intervention might delay or impair speech development. This study aimed to (a) characterize and analyze the speech sound development of toddlers with developmental delay who participated in a parent-implemented language intervention; (b) examine the accuracy of speech sounds among toddlers who participated in an augmented language intervention using speech-generating devices and toddlers who participated in a traditional, spoken language intervention; and (c) examine the relationship between baseline factors (i.e., receptive and expressive language skills, vocal imitation, and number of unintelligible utterances) and the number of spoken target vocabulary words after intervention.<b>Method: </b>This study used extant data from two randomized control trials of parent-implemented language interventions using AAC or spoken language. Out of 109 children who completed the intervention, 45 children produced spoken target vocabulary words at the end of the intervention. We identified and phonetically transcribed spoken target vocabulary words for each child and then classified them based on Shriberg and Kwiatkowski’s (1982) developmental sound classes.<b>Results: </b>Children’s speech sound accuracy was not significantly different across intervention groups. Overall, children who produced more words had more speech sound errors and higher baseline language scores. Intervention group and baseline receptive and expressive language skills significantly predicted the number of spoken target vocabulary words produced at the end of intervention.<b>Conclusions: </b>Participation in AAC intervention resulted in significantly more spoken target vocabulary words and no statistically significant differences in speech sound errors when compared to children who received spoken language intervention without AAC. Results support using AAC interventions for very young children without the fear that it will delay speech or spoken language development.<br><b>Supplemental Material S1.</b> Missing data: Descriptive statistics between raw and transformed data.<br>Walters, C., Sevcik, R. A., Romski, M. (2021). Spoken vocabulary outcomes of toddlers with developmental delay after parent-implemented augmented language intervention. <i>American Journal of Speech-Language Pathology</i>. Advance online publication. https://doi.org/10.1044/2020_AJSLP-20-00093
DOI: 10.5281/zenodo.4655144
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: 10.6084/m9.figshare.14347553
title: Ribosomal protein database of Stenotrophomonas maltophilia SKK35

description: This work presents the ribosomal protein database of <i>Stenotrophomonas maltophilia </i>SKK35. Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.14347553.v1
title: Ribosomal protein database of Stenotrophomonas maltophilia SKK35

description: This work presents the ribosomal protein database of <i>Stenotrophomonas maltophilia </i>SKK35. Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.5281/zenodo.4649509
title: Number of cases of measles, mumps, and rubella and MMR vaccine coverage by governorate in Iraq, 2001-2016

description: We include sav files with data on measles, mumps, and rubella for each governorate in Iraq from 2001 to 2016. The variables include annual case counts (t), vaccine coverage (cov), and population (gov).
DOI: 10.5281/zenodo.4649508
title: Number of cases of measles, mumps, and rubella and MMR vaccine coverage by governorate in Iraq, 2001-2016

description: We include sav files with data on measles, mumps, and rubella for each governorate in Iraq from 2001 to 2016. The variables include annual case counts (t), vaccine coverage (cov), and population (gov).
DOI: 10.5281/zenodo.4649592
title: data used in the manuscript of GRL 2021GL093646

description: data used in the manuscript of GRL 2021GL093646
DOI: 10.5281/zenodo.4649591
title: data used in the manuscript of GRL 2021GL093646

description: data used in the manuscript of GRL 2021GL093646
DOI: 10.3886/e111107v1-82700
title: National Neighborhood Data Archive (NaNDA): Neighborhood Socioeconomic and Demographic Characteristics of Census Tracts, United States, 2000-2010

description: This dataset contains measures of socioeconomic and demographic characteristics by US census tract for the years 2000-2010. Example measures include population density; population distribution by race, ethnicity, age, and income; and proportion of population living below the poverty level, receiving public assistance, and female-headed families. The dataset also contains a set of index variables to represent neighborhood disadvantage and affluence.
description: All census tracts in the United States, including Puerto Rico. Smallest Geographic Unit: Census tract
description: This dataset is complemented by a similar version (National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of Census Tracts, United States, 2008-2017, https://www.openicpsr.org/openicpsr/project/119451) which is based on the same theoretical findings and covers the period 2008-2017. Users wanting to combine this dataset with measures from 2008-2017 should be aware of key differences between how measures are calculated across the two datasets. For more information, see the "Usage Note" section of the documentation.
DOI: 10.6084/m9.figshare.14347622.v1
title: GigaMUGA SNP Map

description: GeneSeek GigaMUGA SNP Map
DOI: 10.6084/m9.figshare.14347622
title: GigaMUGA SNP Map

description: GeneSeek GigaMUGA SNP Map
DOI: 10.6084/m9.figshare.14347337
title: Pazdro_GigaMUGA_genoprobs_qced_8state_sorted.rds

description: Pazdro Laboratory, UGA - DO mice - R01 Defining the Genetic Architecture of the Glutathione Redox System<br>8state allele probabilities<br>Calculated by The Jackson Laboratory using GigaMUGA DO genotype data from GeneSeek
DOI: 10.5281/zenodo.4655152
title: Black carbon and secondary brown carbon, the dominant light absorption and direct radiative forcing contributors of the atmospheric aerosols over the Tibetan Plateau

description: Black carbon (BC), primary brown carbon (BrC<sub>pri</sub>), and secondary brown carbon (BrC<sub>sec</sub>) are important light-absorbing aerosol. BC and BrC from the surrounding area can reach the Tibetan Plateau (TP) and influence climate change and glacial melting. Here, we presented a study of the light absorption, radiative forcing, and potential source areas of BC and BrC over the northeastern, central, and southwestern TP. The higher light absorption was observed in the northeastern and southwestern sites compared to the central TP site. The major carbonaceous light-absorbing was attributed to BC with the percentages of 65%, 56%, and 82% in Ngari, Qinghai Lake, and Beiluhe, respectively. The heighten contribution of BrC<sub>sec</sub> to total light absorption indicated the importance of BrC<sub>sec</sub> in the TP, especially in the northeastern and southwestern areas. The BrC<sub>sec</sub> radiative forcings relative to BC were much higher than those of BrC<sub>pri</sub>. The potential BC and BrC<sub>pri</sub> source distributions were obtained.
DOI: 10.5281/zenodo.4655153
title: Global Biotic Interactions: Taxon Graph Patches

description: Global Biotic Interactions: Taxon Graph Patch 20210331-01 2021-03-31 Abstract / Introduction In https://github.com/globalbioticinteractions/globalbioticinteractions/issues/640, Colin J. Carlson shared some virus name inconsistencies like "West Nile virus" being shown as "West virus", and "Ross River virus" shown as "Ross virus". This patch replaces the incorrectly altered names (e.g., "West virus") with the original names (e.g., "West Nile virus"). Likely root cause is that the virus names were passed through a taxonomic names parser that treated secondary capitalized names as author names. Methods A script "create_patch.sh" was constructed to replace all virus names associated with EOL prefixes (i.e., EOL: and EOL_V2:) with their names from the associated full taxonomic path. To apply the patch, run the "patch" program against the original<br> taxonCache/taxonMap files with the .patch files on any linux-y system. Patch files taxonMap.tsv.patch.gz and taxonCache.tsv.patch.gz were<br> created using: create_patch.sh in period 2021-01-14/2021-01-19 . Result/Discussion The resulting patch updates existing EOL virus names in GloBI Taxon Graph v0.3.30 [1] . References [1] Poelen, Jorrit H. (2020). Global Biotic Interactions: Taxon Graph<br> (Version 0.3.30) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4593724
DOI: 10.25919/5vdf-0f03
title: Parkes observations for project PX500 semester 2020OCTS_15

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.6084/m9.figshare.14347652
title: Univ_of_Georgia_Pazdro_MURGIGV01_20200529_FinalReport.txt

description: Genotype data from GeneSeek
DOI: 10.6084/m9.figshare.14347652.v1
title: Univ_of_Georgia_Pazdro_MURGIGV01_20200529_FinalReport.txt

description: Genotype data from GeneSeek
DOI: 10.6084/m9.figshare.14347646
title: Univ_of_Georgia_Pazdro_MURGIGV01_20200424_FinalReport.txt

description: Genotype data from GeneSeek
DOI: 10.6084/m9.figshare.14347646.v1
title: Univ_of_Georgia_Pazdro_MURGIGV01_20200424_FinalReport.txt

description: Genotype data from GeneSeek
DOI: 10.6084/m9.figshare.14347637
title: Univ_of_Georgia_Pazdro_MURGIGV01_20190530_FinalReport.txt

description: Genotype data from GeneSeek
DOI: 10.14457/cu.the.1997.324
title: Adsorption kinetics of an ion exchange column
DOI: 10.5281/zenodo.4651297
title: [Dataset] A Particle-In-Cell Code Comparison for Ion Acceleration: EPOCH, LSP, and WarpX

description: Here we share simulation results comparing three Particle-In-Cell (PIC) codes: <br> - EPOCH (using the normal random seed and 20 additional runs with different seeds),<br> - LSP (using both explicit and implicit modes labeled LSP_E and LSP_I), <br> - WarpX Notes:<br> - LSP makes calculations using a virtual dimension of 1 cm while the other codes use 1 meter<br> - See the corresponding manuscript for full problem description and context Explanation of Folders/Files:<br> -&gt; Energy_Diagnostics<br> - This directory has files containing field and particle energy information for each code<br> - Various file formats are used, see headers for information on data format<br> - As mentioned above LSP uses a different convention for the virtual dimension size, so the outputs must be multiplied by 100 for comparison <br> <br> -&gt; Particle_Spectra<br> - This directory contains calculated energy distributions of forward going particles for the various runs. <br> - The file number multiplied by 10 fs gives the simulation time (e.g. 30_Spectrum.dat is 300 fs)<br> - In the files, the first column is the energy bin (MeV), the second is total ion charge (C), and third is electron charge (C)<br> - As mentioned above LSP uses a different convention for the virtual dimension size, so the outputs must be multiplied by 100 for comparison<br> <br> -&gt;Simulation_Input_Files<br> - EPOCH and WarpX simulation input decks (input files) are included here <br> - LSP is a commercial code. If you have access to the code and are interested in the input files, please contact us. <br> <br> -&gt; EPOCH_20_Runs_Density_Map<br> - An array of the simulation space denoting whether at least one of the 20 additional EPOCH simulations had non-zero ion density for the corresponding plot step (every 10 fs)<br>
DOI: 10.18112/openneuro.ds003595.v1.0.0
title: Finnish Letter-Sound Integration MEG Dataset
DOI: 10.5517/ccdc.csd.cc253bn9
title: CCDC 1999210: Experimental Crystal Structure Determination

description: Related Article: Binmiao Yang, Jun Dai, Yixin Luo, Kai Kiat Lau, Yu Lan, Zhihui Shao, Yu Zhao|2021|J.Am.Chem.Soc.|143|4179|doi:10.1021/jacs.1c01366
DOI: 10.5517/ccdc.csd.cc253bpb
title: CCDC 1999211: Experimental Crystal Structure Determination

description: Related Article: Binmiao Yang, Jun Dai, Yixin Luo, Kai Kiat Lau, Yu Lan, Zhihui Shao, Yu Zhao|2021|J.Am.Chem.Soc.|143|4179|doi:10.1021/jacs.1c01366