cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17608/k6.auckland.19093595.v1
title: Chapter 5 Supplementary tables

description: This repository contains the supplementary tables for chapter 5: Mapping enhancer activity for loci marked by Parkinson’s disease variants using a Massively Parallel Reporter Assay<br>Supplementary table 5.1: MPRA variants that have already been tested in previous MPRA studies<br>Supplementary table 5.2: Additional GWAS SNPs included in the assay, an extension from table 5.1 <br>Supplementary table 5.3: All candidate regulatory elements included in the synthesised library (Agilent technologies)<br>Supplementary table 5.4: Sequencing results of the inert library to determine the barcode/oligo pairings<br>Supplementary table 5.5: Deepsea Expecto variant prediction results for PD-associated SNPs included in the MPRA. Described fully in section 5.3.3.2
DOI: 10.15468/84nu66
title: Données Biodiversité Raffinerie de Donges (suivi ornithologique ACROLA)

description: Biodiversity monitoring observations near the industrial site (Donges Refinery)
DOI: 10.5066/p9bs56jz
title: Data to accompany U.S. Geological Survey Scientific Investigations Report 2019-5077: Geochemical and mineralogical study of the Red Mountain porphyry copper-molybdenum deposit and vicinity, Santa Cruz County, Arizona

description: The dataset comprises analyses of core and surface samples collected in and around the Red Mountain porphyry Cu-Mo deposit, Santa Cruz County, Arizona. The dataset includes: analyses for 13 minerals in 245 core samples (Appendix 1); analyses for 44 elements in 818 core samples (Appendix 2); analyses for 54 elements in 122 rock samples (Appendix 3); analyses for 55 elements in 119 soil samples (Appendix 4); and analyses for percent ash and 66 elements in 57 mesquite ash (Appendix 5), 68 oak ash (Appendix 6), and 68 juniper ash (Appendix 7) samples, respectively. The samples were collected and analyzed between 1980 and 2000.
DOI: 10.6084/m9.figshare.19100306.v1
title: Data

description: This is the raw dataset for the senescence markers from the SLE patients and healthy subjects
DOI: 10.6084/m9.figshare.19100306
title: Data

description: This is the raw dataset for the senescence markers from the SLE patients and healthy subjects
DOI: 10.5066/p98heu7k
title: Base flow monitoring for stream temperature and intermittency at Baca National Wildlife Refuge

description: The Baca National Wildlife Refuge is located in the San Luis Valley of South-central Colorado on the western flank of the Sangre de Cristo massif, northwest of the Great Sand Dunes National Park. Wildlife managers at the refuge are tasked with protecting two fish species of special concern, the Rio Grande Chub (Gila pandora) and the Rio Grande Sucker (Catostomus plebeius). The U.S. Geological Survey (USGS) collected surface water data with Stream Temperature, Intermittency, and Conductivity (STIC) instruments deployed at the Baca NWR from 2016?2019. STIC instruments are unique for this type of investigation for the purpose of simultaneously collecting temperature data and an electrical resistance signal to determine the presence or absence of water. At each monitoring site, individual raw data records were first screened for the presence of liquid water. All other data points (i.e. drying events, freezing events, etc.) were trimmed from this data set. Second, all water temperature data was calculated from 30-minute resolution to the standardized biologically relevant daily (maximum 2-hour daily maximum) and weekly (maximum weekly average temperature) summary metrics. This summary data provides Baca wildlife managers with the current inventory of available fish habitat, the thermal suitability of the aquatic habitat for both survival and successful recruitment, and to identify possible thermal and or entrainment risks to these fish populations.
DOI: 10.6084/m9.figshare.19100315
title: Molecular phylogeny of the subgenus <i>Syrrhophus</i> (Amphibia: Anura: Eleutherodactylidae), with the description of a new species from Eastern Mexico

description: The <i>Eleutherodactylus</i> subgenus <i>Syrrhophus</i> has a complex taxonomic history. For many years the species were classified into series and groups of species based on morphological and allozyme data. However, most of the species have conservative morphology, and their phylogenetic relationships have not been resolved. Furthermore, recent studies employing molecular tools have shown that <i>Syrrhophus</i> diversity is highly underestimated. Here, we present a near-complete phylogenetic hypothesis based on mitochondrial data (16S rRNA, cytochrome c oxidase subunit I, and cytochrome b) and employing maximum likelihood and Bayesian methods. The Bayesian tree has high support values (posterior probabilities ≥0.95) whereas the maximum likelihood hypothesis has generally low values (bootstrap support &lt;70). Both phylogenetic analyses recovered <i>Syrrhophus</i> as monophyletic and composed of four main, allopatric clades (<i>E</i>. <i>symingtoni</i> clade, <i>E</i>. <i>longipes</i> clade, <i>E</i>. <i>modestus</i> clade, and <i>E</i>. <i>nitidus</i> clade) concordant with geography. Based on the molecular and morphological data, we describe a new species from the state of San Luis Potosí, Mexico. The new species is most closely related to <i>E</i>. <i>campi</i> and <i>E</i>. <i>cystignathoides</i> from which it has a genetic distance &gt;7% in 16S rRNA. Finally, based on the phylogenetic results, we resurrect <i>E</i>. <i>rubrimaculatus</i> from synonymy. Our results increase the number of species in the subgenus <i>Syrrhophus</i> to 41. We highlight the importance of efforts to study this important component of Mexican biodiversity. http://zoobank.org/urn:lsid:zoobank.org:pub:3C2B2315-D5C8-420A-938C-A2B3A75B4248
DOI: 10.6084/m9.figshare.19100315.v1
title: Molecular phylogeny of the subgenus <i>Syrrhophus</i> (Amphibia: Anura: Eleutherodactylidae), with the description of a new species from Eastern Mexico

description: The <i>Eleutherodactylus</i> subgenus <i>Syrrhophus</i> has a complex taxonomic history. For many years the species were classified into series and groups of species based on morphological and allozyme data. However, most of the species have conservative morphology, and their phylogenetic relationships have not been resolved. Furthermore, recent studies employing molecular tools have shown that <i>Syrrhophus</i> diversity is highly underestimated. Here, we present a near-complete phylogenetic hypothesis based on mitochondrial data (16S rRNA, cytochrome c oxidase subunit I, and cytochrome b) and employing maximum likelihood and Bayesian methods. The Bayesian tree has high support values (posterior probabilities ≥0.95) whereas the maximum likelihood hypothesis has generally low values (bootstrap support &lt;70). Both phylogenetic analyses recovered <i>Syrrhophus</i> as monophyletic and composed of four main, allopatric clades (<i>E</i>. <i>symingtoni</i> clade, <i>E</i>. <i>longipes</i> clade, <i>E</i>. <i>modestus</i> clade, and <i>E</i>. <i>nitidus</i> clade) concordant with geography. Based on the molecular and morphological data, we describe a new species from the state of San Luis Potosí, Mexico. The new species is most closely related to <i>E</i>. <i>campi</i> and <i>E</i>. <i>cystignathoides</i> from which it has a genetic distance &gt;7% in 16S rRNA. Finally, based on the phylogenetic results, we resurrect <i>E</i>. <i>rubrimaculatus</i> from synonymy. Our results increase the number of species in the subgenus <i>Syrrhophus</i> to 41. We highlight the importance of efforts to study this important component of Mexican biodiversity. http://zoobank.org/urn:lsid:zoobank.org:pub:3C2B2315-D5C8-420A-938C-A2B3A75B4248
DOI: 10.5281/zenodo.5934271
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Luis Moreira da Costa, https://orcid.org/0000-0001-5910-7126. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.25345/c5j57v
title: MassIVE MSV000088755 - Anti-Peptide and Anti-Protein Antibody-Based Purification Techniques
title: Immunoaffinity purification of NP Swabs to test for SARS-CoV-2
DOI: 10.21415/cksf-ch67
title: SLABank soraUVALAL Corpus
DOI: 10.6084/m9.figshare.19100243
title: Data dictionary and brochure from: REAP (Resilient Economic Agricultural Practices)

description: Data dictionary and brochure for REAP (Resilient Economic Agricultural Practices). https://data.nal.usda.gov/node/5594<br> Data Entry Template 2017 includes Excel templates for Experiment description worksheets, Site characterization worksheets, Management worksheets, Measurement worksheets where experimental unit data are reported, and Information that may be useful to the user, including drop down lists of treatment specific information and ranges of expected values. General and introductory instructions, as well as a Data Validation check are also included.<br><br>A data dictionary typically provides a detailed description for each element or variable in a dataset or data model. Data dictionaries are used to document important and useful information such as a descriptive name, the data type, allowed values, units, and text description.<br>Dataset citation: (dataset) USDA Agricultural Research Service. (2017). REAP (Resilient Economic Agricultural Practices). Agricultural Research Service. https://doi.org/10.15482/USDA.ADC/1372394.
DOI: 10.25919/9bjx-4e70
title: Genomic Information Desulfuromonas sp. 'CSMB_57'

description: Supplementary genomic data
DOI: 10.25919/4185-1a85
title: Data: Levelised cost of hydrogen

description: Levelised cost of hydrogen calculated using cost and performance assumptions from various recent studies.
DOI: 10.25919/xnt4-3m11
title: Data: CSIRO National Hydrogen Roadmap

description: Levelised cost of hydrogen and the cost of hydrogen required to be competitive in various applications taken from Figure 1 of the CSIRO National Hydrogen Roadmap report
DOI: 10.25505/fiz.icsd.cc21937q
title: CSD 1885582: Experimental Crystal Structure Determination

description: Related Article: Oksana A. Gulyaeva, Zoya A. Solodovnikova, Sergey F. Solodovnikov, Vasiliy N. Yudin, Evgeniya S. Zolotova, Vladislav Yu. Komarov|2019|J.Solid State Chem.|272|148|doi:10.1016/j.jssc.2019.02.010
DOI: 10.25505/fiz.icsd.cc21938r
title: CSD 1885583: Experimental Crystal Structure Determination

description: Related Article: Oksana A. Gulyaeva, Zoya A. Solodovnikova, Sergey F. Solodovnikov, Vasiliy N. Yudin, Evgeniya S. Zolotova, Vladislav Yu. Komarov|2019|J.Solid State Chem.|272|148|doi:10.1016/j.jssc.2019.02.010
DOI: 10.25505/fiz.icsd.cc21939s
title: CSD 1885584: Experimental Crystal Structure Determination

description: Related Article: Oksana A. Gulyaeva, Zoya A. Solodovnikova, Sergey F. Solodovnikov, Vasiliy N. Yudin, Evgeniya S. Zolotova, Vladislav Yu. Komarov|2019|J.Solid State Chem.|272|148|doi:10.1016/j.jssc.2019.02.010
DOI: 10.5517/ccdc.csd.cc2197cz
title: CCDC 1885710: Experimental Crystal Structure Determination

description: Related Article: Bennett J. Eleazer, Mark D. Smith, Dmitry V. Peryshkov|2019|Tetrahedron|75|1471|doi:10.1016/j.tet.2019.02.010
DOI: 10.25505/fiz.icsd.cc21d2dy
title: CSD 1888439: Experimental Crystal Structure Determination

description: Related Article: Ni Ma, Yan-Yan Li, Ling Chen, Li-Ming Wu|2020|J.Am.Chem.Soc.|142|5293|doi:10.1021/jacs.0c00062
DOI: 10.25505/fiz.icsd.cc21f62s
title: CSD 1889514: Experimental Crystal Structure Determination

description: Related Article: Julia M. Heuser, Stefan Neumeier, Lars Peters, Hartmut Schlenz, Dirk Bosbach, Guido Deissmann|2019|J.Solid State Chem.|273|45|doi:10.1016/j.jssc.2019.02.028
DOI: 10.25505/fiz.icsd.cc21f57x
title: CSD 1889488: Experimental Crystal Structure Determination

description: Related Article: Julia M. Heuser, Stefan Neumeier, Lars Peters, Hartmut Schlenz, Dirk Bosbach, Guido Deissmann|2019|J.Solid State Chem.|273|45|doi:10.1016/j.jssc.2019.02.028
DOI: 10.25505/fiz.icsd.cc21fxzd
title: CSD 1890224: Experimental Crystal Structure Determination

description: Related Article: Meng Shang, Lili Liu, P. Shiv Halasyamani|2019|J.Solid State Chem.|273|106|doi:10.1016/j.jssc.2019.02.033
DOI: 10.25505/fiz.icsd.cc21fy0g
title: CSD 1890225: Experimental Crystal Structure Determination

description: Related Article: Meng Shang, Lili Liu, P. Shiv Halasyamani|2019|J.Solid State Chem.|273|106|doi:10.1016/j.jssc.2019.02.033
DOI: 10.25505/fiz.icsd.cc21fy1h
title: CSD 1890226: Experimental Crystal Structure Determination

description: Related Article: Meng Shang, Lili Liu, P. Shiv Halasyamani|2019|J.Solid State Chem.|273|106|doi:10.1016/j.jssc.2019.02.033
DOI: 10.25505/fiz.icsd.cc21gbrm
title: CSD 1890620: Experimental Crystal Structure Determination

description: Related Article: Dundappa Mumbaraddi, Abishek K. Iyer, Ebru Üzer, Vidyanshu Mishra, Anton O. Oliynyk, Tom Nilges, Arthur Mar|2019|J.Solid State Chem.|274|162|doi:10.1016/j.jssc.2019.03.034
DOI: 10.25505/fiz.icsd.cc21gbsn
title: CSD 1890621: Experimental Crystal Structure Determination

description: Related Article: Dundappa Mumbaraddi, Abishek K. Iyer, Ebru Üzer, Vidyanshu Mishra, Anton O. Oliynyk, Tom Nilges, Arthur Mar|2019|J.Solid State Chem.|274|162|doi:10.1016/j.jssc.2019.03.034
DOI: 10.25505/fiz.icsd.cc21gbtp
title: CSD 1890622: Experimental Crystal Structure Determination

description: Related Article: Dundappa Mumbaraddi, Abishek K. Iyer, Ebru Üzer, Vidyanshu Mishra, Anton O. Oliynyk, Tom Nilges, Arthur Mar|2019|J.Solid State Chem.|274|162|doi:10.1016/j.jssc.2019.03.034
DOI: 10.6084/m9.figshare.19100378
title: Acute warm-up.sav

description: <b>This data is for article with title "Acute effect of different types of warm-up on muscle strength and body temperature of Paralympic Powerlifting athletes from different competitive levels: A pilot study</b><b>".</b>
DOI: 10.6084/m9.figshare.19100378.v1
title: Acute warm-up.sav

description: <b>This data is for article with title "Acute effect of different types of warm-up on muscle strength and body temperature of Paralympic Powerlifting athletes from different competitive levels: A pilot study</b><b>".</b>
DOI: 10.15156/bio/sh1852362.08fu
title: SH1852362.08FU

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/sh483680.07fu
title: SH483680.07FU

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/sh483681.07fu
title: SH483681.07FU

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/sh1852363.08fu
title: SH1852363.08FU

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/sh1852364.08fu
title: SH1852364.08FU

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/sh483682.07fu
title: SH483682.07FU

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/sh483683.07fu
title: SH483683.07FU

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/sh1852365.08fu
title: SH1852365.08FU

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.