cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh3353081.08fu
title: SH3353081.08FU

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/sh3353082.08fu
title: SH3353082.08FU

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/sh3353083.08fu
title: SH3353083.08FU

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/sh3353084.08fu
title: SH3353084.08FU

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: 10.5281/zenodo.7682669
title: Discrete Samples of Particulate Phosphorus from R/V Melville MV1015 in the S. Pacific from Arica, Chile to Easter Island, 2010 (C-MORE project)

description: “The South East Pacific (SEP) is characterized by very high nutrient concentrations in the waters adjacent to the Chilean coast, but very low nutrient concentrations (oligotrophic) in the mid- South Pacific Subtropical Gyre (SPSG), near Easter Island. The steep gradient in nutrient concentrations across the region affects the level of marine production, the composition of the microbial community, and the operation of major biogeochemical cycles in ways that are not fully understood. Despite the remarkable diversity of trophic conditions, strong gradients and even some unique singularities, the SEP is still the most sparsely sampled oceanic region of the global ocean from hydrodynamic, biological and biogeochemical points of view. The SPSG is also the most oligotrophic of all sub-tropical gyres. Previous expeditions and remote sensing studies have described the nutrient and chlorophyll field, but there have been few simultaneous measurements of chemical properties with microbial community structure and function. This expedition is designed to investigate the impact of elemental nutrient (nitrogen, phosphorus, iron, silicon, carbon) ratios on marine productivity and microbial community composition. Samples for PP (particulate phosphorus) were collected on acid washed combusted 25mm glass fiber filters (GF/F) and stored in a -80 freezer until analysis. Samples were further analyzed using a CARY UV-VIS Spectrophotometer following the combustion and acid hydrolysis method of Karl, et al. (1991).” One sample entry contained no depth value or sample data so it was deleted for visualization purposes. This description has been reproduced using the following source: http://dmoserv3.bco-dmo.org/jg/info/BCO-DMO/CMORE/bigrapa/PP%7Bdir=dmoserv3.bco-dmo.org:80/jg/dir,data=dmoserv3.bco-dmo.org:80/jg/serv/BCO-DMO/CMORE/bigrapa/PP.html1%7D?
DOI: 10.5517/ccdc.csd.cc2d6mt2
title: CCDC 2210914: Experimental Crystal Structure Determination

description: Related Article: Ankita Thakur, Shiv Shankar Gupta, Ankit Kumar Dhiman, Upendra Sharma|2023|J.Org.Chem.|88|2314|doi:10.1021/acs.joc.2c02726
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d7ly6
title: CCDC 2211848: Experimental Crystal Structure Determination

description: Related Article: Dongsheng Zhao, Wenqian Li, Rongmei Wen, Nana Lei, Wencui Li, Xin Liu, Xiutang Zhang, Liming Fan|2023|Inorg.Chem.|62|2715|doi:10.1021/acs.inorgchem.2c03828
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.5909734
title: Data belonging to 2022_Denissen_ELI_CMIP6_Nat_Clim_Change

description: The Data and RData folders belonging to and is meant to reproduce the analysis and figures of 2022_Denissen_ELI_CMIP6_Nat_Clim_Change. Both of the folders can be unzipped with 'tar -xf Data.tar.gz' and 'tar -xf RData.tar.gz' in the main directory.
DOI: 10.5281/zenodo.6566274
title: Data belonging to 2022_Denissen_ELI_CMIP6_Nat_Clim_Change

description: The Data and RData folders belonging to and is meant to reproduce the analysis and figures of 2022_Denissen_ELI_CMIP6_Nat_Clim_Change. Both of the folders can be unzipped with 'tar -xf Data.tar.gz' and 'tar -xf RData.tar.gz' in the main directory.
DOI: 10.5281/zenodo.7682660
title: Data belonging to 2022_Denissen_ELI_CMIP6_Nat_Clim_Change

description: The Data and RData folders belonging to and is meant to reproduce the analysis and figures of 2022_Denissen_ELI_CMIP6_Nat_Clim_Change. Both of the folders can be unzipped with 'tar -xf Data.tar.gz' and 'tar -xf RData.tar.gz' in the main directory.
DOI: 10.5281/zenodo.7682684
title: Pleiotropy promotes the evolution of inducible immune responses in a model of host-pathogen coevolution

description: The archives uploaded here include the code used to perform the evolutionary simulations as described in <em>Pleiotropy promotes the evolution of inducible immune responses in a model of host-pathogen coevolution </em>authors: Martin,R. Tate, A. as well as the data that was used in the generation of the figures for that paper. Code requires the Julia programming language and necessary packages to run.
DOI: 10.5281/zenodo.7682683
title: Pleiotropy promotes the evolution of inducible immune responses in a model of host-pathogen coevolution

description: The archives uploaded here include the code used to perform the evolutionary simulations as described in <em>Pleiotropy promotes the evolution of inducible immune responses in a model of host-pathogen coevolution </em>authors: Martin,R. Tate, A. as well as the data that was used in the generation of the figures for that paper. Code requires the Julia programming language and necessary packages to run.
DOI: 10.25399/unisadata.21944336
title: Drivers of NRW

description: The dataset is composed of questionnaire responses provided by participants of the study.
DOI: 10.25399/unisadata.21944336.v1
title: Drivers of NRW

description: The dataset is composed of questionnaire responses provided by participants of the study.
DOI: 10.5281/zenodo.7682699
title: Total Particulate Carbon and Nitrogen Concentration from R/V Melville MV1015 in the S. Pacific from Arica, Chile to Easter Island, 2010 (C-MORE project)

description: "The South East Pacific (SEP) is characterized by very high nutrient concentrations in the waters adjacent to the Chilean coast, but very low nutrient concentrations (oligotrophic) in the mid- South Pacific Subtropical Gyre (SPSG), near Easter Island. The steep gradient in nutrient concentrations across the region affects the level of marine production, the composition of the microbial community, and the operation of major biogeochemical cycles in ways that are not fully understood. Despite the remarkable diversity of trophic conditions, strong gradients and even some unique singularities, the SEP is still the most sparsely sampled oceanic region of the global ocean from hydrodynamic, biological and biogeochemical points of view. The SPSG is also the most oligotrophic of all sub-tropical gyres. Previous expeditions and remote sensing studies have described the nutrient and chlorophyll field, but there have been few simultaneous measurements of chemical properties with microbial community structure and function. This expedition is designed to investigate the impact of elemental nutrient (nitrogen, phosphorus, iron, silicon, carbon) ratios on marine productivity and microbial community composition. Samples for PC (particulate carbon) and PN (particulate nitrogen) were collected on a combusted 25mm glass fiber filter (GF/F) and stored in a -80 freezer until analysis. Samples were further analyzed using a Carlo Erba NA 1500 Elemental Analyzer." Time is in GMT. Note: it is questionable if the 500m sample collected on 2010-11-27 was really taken at 500m (see comment on data sheet). This “best guess” for depth was included in the data for CMAP visualization purposes. This description has been reproduced using the following source:<br> <br> http://dmoserv3.bco-dmo.org/jg/info/BCO-DMO/CMORE/bigrapa/PCPN%7Bdir=dmoserv3.bco-dmo.org:80/jg/dir,data=dmoserv3.bco-dmo.org:80/jg/serv/BCO-DMO/CMORE/bigrapa/PCPN.html1%7D?
DOI: 10.5281/zenodo.7682698
title: Total Particulate Carbon and Nitrogen Concentration from R/V Melville MV1015 in the S. Pacific from Arica, Chile to Easter Island, 2010 (C-MORE project)

description: "The South East Pacific (SEP) is characterized by very high nutrient concentrations in the waters adjacent to the Chilean coast, but very low nutrient concentrations (oligotrophic) in the mid- South Pacific Subtropical Gyre (SPSG), near Easter Island. The steep gradient in nutrient concentrations across the region affects the level of marine production, the composition of the microbial community, and the operation of major biogeochemical cycles in ways that are not fully understood. Despite the remarkable diversity of trophic conditions, strong gradients and even some unique singularities, the SEP is still the most sparsely sampled oceanic region of the global ocean from hydrodynamic, biological and biogeochemical points of view. The SPSG is also the most oligotrophic of all sub-tropical gyres. Previous expeditions and remote sensing studies have described the nutrient and chlorophyll field, but there have been few simultaneous measurements of chemical properties with microbial community structure and function. This expedition is designed to investigate the impact of elemental nutrient (nitrogen, phosphorus, iron, silicon, carbon) ratios on marine productivity and microbial community composition. Samples for PC (particulate carbon) and PN (particulate nitrogen) were collected on a combusted 25mm glass fiber filter (GF/F) and stored in a -80 freezer until analysis. Samples were further analyzed using a Carlo Erba NA 1500 Elemental Analyzer." Time is in GMT. Note: it is questionable if the 500m sample collected on 2010-11-27 was really taken at 500m (see comment on data sheet). This “best guess” for depth was included in the data for CMAP visualization purposes. This description has been reproduced using the following source:<br> <br> http://dmoserv3.bco-dmo.org/jg/info/BCO-DMO/CMORE/bigrapa/PCPN%7Bdir=dmoserv3.bco-dmo.org:80/jg/dir,data=dmoserv3.bco-dmo.org:80/jg/serv/BCO-DMO/CMORE/bigrapa/PCPN.html1%7D?
DOI: 10.7910/dvn/qruzou
title: Uber Movement raw

description: https://movement.uber.com
DOI: 10.5281/zenodo.7217897
title: Pre-ejecta Craters and Measured Ejecta Thicknesses from Complex Craters on Ceres

description: Original Publication Date: October 17, 2022 Modified Date: February 27, 2023<br> Authors: P. E. Montalvo and H. Christopher<br> Notes: This ReadMe file serves as an overview for the Data Sets S1 and S2. Data Set S1 shows the High Altitude Mapping Orbit (HAMO) and Low Altitude Mapping Orbit (LAMO) images used in this study. Data Set S2 contains the crater counts and estimated ejecta thicknesses estimated in this study. We strongly recommend reading the details the contents of this file to properly understand the structure of each Data Set. Data Set S1 content:<br> Requirements: None. The contents of Data Set S1 are Dawn image information.<br> - File 1: HAMO.csv; Description: CSV file containing HAMO image information<br> - File 2: LAMO.csv; Description: CSV file containing LAMO image information<br> - File 3: Additional_LAMO.csv; CSV file containing additional LAMO images for Occator and Haulani.<br> - File 4: ReadMe.txt; Description: TXT file with content description Data Set S2 content:<br> Requirements: A Python script is included in Data Set S2. The script needs all CSV files included in Data Set S2 in the same directory.<br> - File 1: meta.csv; Description: CSV file containing host crater file names<br> - File 2: Occator.csv; Description: pre-ejecta crater data from Occator<br> - File 3: Haulani.csv; Description: pre-ejecta crater data from Haulani<br> - File 4: Cacaguat.csv; Description: pre-ejecta crater data from Cacaguat<br> - File 5: Dantu.csv; Description: pre-ejecta crater data from Dantu<br> - File 6: Ikapati.csv; Description: pre-ejecta crater data from Ikapati<br> - File 7: tmax.csv; Description: crater rim ejecta thickness data<br> - File 8: plotProf.py; Description: Python script that reproduces Figure 8 Data Set S3 content:<br> Requirements: None. The contents of Data Set S3 are CSV files with point locations. Note that the file names are in order of analysis.<br> - File 1: Occator_hr.csv; Description: CSV file with rim point location<br> - File 2: Occator_ht.csv; Description: CSV file with outcrop point location<br> - File 3: Haulani_hr.csv; Description: CSV file with rim point location<br> - File 4: Haulani_ht.csv; Description: CSV file with outcrop point location<br> - File 5: Cacaguat_hr.csv; Description: CSV file with rim point location<br> - File 6: Cacaguat_ht.csv; Description: CSV file with outcrop point location<br> - File 7: Dantu_hr.csv; Description: CSV file with rim point location<br> - File 8: Dantu_ht.csv; Description: CSV file with outcrop point location<br> - File 9: Ikapati_hr.csv; Description: CSV file with rim point location<br> - File 10: Ikapati_ht.csv; Description: CSV file with outcrop point location
description: This work is supported by NASA/DDAP (80NSSC20K1151).
DOI: 10.5281/zenodo.7682752
title: Studies Rejected and Selected on the Systematic Mapping of Open Science Practices in Software Engineering

description: Files in .xlsx format, describing the rejected and selected studies, recovered in a Systematic Mapping about Open Science Practices in Software Engineering.
DOI: 10.5281/zenodo.7682751
title: Studies Rejected and Selected on the Systematic Mapping of Open Science Practices in Software Engineering

description: Files in .xlsx format, describing the rejected and selected studies, recovered in a Systematic Mapping about Open Science Practices in Software Engineering.
DOI: 10.34740/kaggle/dsv/5076539
title: Dataset, Images of symbols
DOI: 10.5281/zenodo.7682786
title: Cypripedium seed data

description: Seed viability in different populations with different habitat conditions
DOI: 10.5281/zenodo.7682785
title: Cypripedium seed data

description: Seed viability in different populations with different habitat conditions
DOI: 10.6084/m9.figshare.22109063
title: Interactions between fungal endophytes and pathogens isolated from the invasive plant kudzu (<i>Pueraria montana</i> var. <i>lobata</i>)

description: In this study, we examined the <i>in vitro</i> interactions between fungal endophytes and pathogens isolated from the invasive plant kudzu (<i>Pueraria montana</i> var. <i>lobata</i>) and test if endophytes might facilitate pathogen growth. This represents a required initial step towards the development of candidate fungal inocula that can aid in the suppression of kudzu. While most tested endophyte-pathogen assays suggest antagonism and/or competitive exclusion, we identified several pathogen/endophyte combinations that suggest pathogen facilitation. Additional work is needed to test if these may have <i>in planta</i> effects on phytopathogenicity. The present study accentuates on the potential of fungal endophytes as an effective ecological approach to manage invasive plants <i>via</i> pathogens facilitation.
DOI: 10.6084/m9.figshare.22109063.v1
title: Interactions between fungal endophytes and pathogens isolated from the invasive plant kudzu (<i>Pueraria montana</i> var. <i>lobata</i>)

description: In this study, we examined the <i>in vitro</i> interactions between fungal endophytes and pathogens isolated from the invasive plant kudzu (<i>Pueraria montana</i> var. <i>lobata</i>) and test if endophytes might facilitate pathogen growth. This represents a required initial step towards the development of candidate fungal inocula that can aid in the suppression of kudzu. While most tested endophyte-pathogen assays suggest antagonism and/or competitive exclusion, we identified several pathogen/endophyte combinations that suggest pathogen facilitation. Additional work is needed to test if these may have <i>in planta</i> effects on phytopathogenicity. The present study accentuates on the potential of fungal endophytes as an effective ecological approach to manage invasive plants <i>via</i> pathogens facilitation.
DOI: 10.5281/zenodo.7682823
title: Supplemental data for: Ukrainian Arts and Humanities research in Scopus. A Bibliometric Analysis

description: The dataset consists of papers published in the Arts and Humanities field from Ukrainian institutions between 2012 and 2021. The data was obtained from Scopus using the search query "AFFILCOUNTRY (Ukraine) AND SUBJAREA (ARTS) AND PUBYEAR &lt; 2022 AND PUBYEAR &gt; 2011". All types of documents, except for Erratum, were included in the dataset. In addition to the raw data imported from Scopus, SciVal tools were utilized to analyze the Arts and Humanities subcategories and calculate various bibliometric characteristics. It is important to note that the dataset only includes papers published by Ukrainian institutions in the Arts and Humanities field and does not necessarily represent the entirety of Ukraine research output in these areas. Furthermore, the dataset may be subject to limitations and biases inherent to the Scopus database and the specific search criteria used.
DOI: 10.5281/zenodo.7682822
title: Supplemental data for: Ukrainian Arts and Humanities research in Scopus. A Bibliometric Analysis

description: The dataset consists of papers published in the Arts and Humanities field from Ukrainian institutions between 2012 and 2021. The data was obtained from Scopus using the search query "AFFILCOUNTRY (Ukraine) AND SUBJAREA (ARTS) AND PUBYEAR &lt; 2022 AND PUBYEAR &gt; 2011". All types of documents, except for Erratum, were included in the dataset. In addition to the raw data imported from Scopus, SciVal tools were utilized to analyze the Arts and Humanities subcategories and calculate various bibliometric characteristics. It is important to note that the dataset only includes papers published by Ukrainian institutions in the Arts and Humanities field and does not necessarily represent the entirety of Ukraine research output in these areas. Furthermore, the dataset may be subject to limitations and biases inherent to the Scopus database and the specific search criteria used.
DOI: 10.34740/kaggle/dsv/5076963
title: Country Data
DOI: 10.34740/kaggle/dsv/5076995
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.5517/ccdc.csd.cc2dc0vn
title: CCDC 2215131: Experimental Crystal Structure Determination

description: Related Article: Mio Matsumura, Honoka Nojima, Yuki Kitamura, Yuki Murata, Shuji Yasuike|2023|J.Organomet.Chem.|989|122639|doi:10.1016/j.jorganchem.2023.122639
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dcz6z
title: CCDC 2216041: Experimental Crystal Structure Determination

description: Related Article: Jakub Brześkiewicz, Rafa Loska|2023|J.Org.Chem.|88|2385|doi:10.1021/acs.joc.2c02797
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.