cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh3277245.08fu
title: SH3277245.08FU

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/sh3277246.08fu
title: SH3277246.08FU

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/sh3277247.08fu
title: SH3277247.08FU

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/sh3277248.08fu
title: SH3277248.08FU

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/sh3277249.08fu
title: SH3277249.08FU

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/sh3277250.08fu
title: SH3277250.08FU

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: 10.34740/kaggle/dsv/7439916
title: Egypt Gold Prices | Daily Updated
DOI: 10.34740/kaggle/dsv/7439925
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7439928
title: OnlineFree
DOI: 10.13016/dspace/5w9n-gmrh
title: K-2 Place Value Concepts Smart Errors Study (v.1)
DOI: 10.17632/ztwgkbk55m.1
title: Nickel isotope fractionation during intense weathering of basalt: Implications for Ni output from continental weathering

description: Research Data includes XRD and AF4-UV-ICP-MS data associated with this article.
DOI: 10.25430/researchdata.cab.unipd.it.00000728
title: Statistical characterization of erosion mechanics in shallow tidal environments

description: Dataset and results of the statistical characterization of erosion events in shallow tidal environments
DOI: 10.25430/researchdata.cab.unipd.it.00000729
title: Statistical characterization of suspended sediment dynamics in shallow tidal environments

description: Dataset and results of the statistical characterization of suspended sediment dynamics in shallow tidal environments
DOI: 10.5066/f7rx9954
title: Digital Elevation Model of Little Holland Tract, Sacramento-San Joaquin Delta, California, 2015

description: This USGS Data Release presents data collected from bathymetric and topographic surveys and the resulting digital elevation model for the Little Holland Tract in the Sacramento-San Joaquin River Delta, California. During May and June of 2015, a team of scientists from the USGS Pacific Coastal and Marine Science Center (PCMSC) conducted multiple surveys (USGS Field Activity 2015-642-FA) to collect topographic and bathymetric data in the Little Holland Tract, located in the Sacramento-San Joaquin River Delta between Liberty Island and the Sacramento Deep Water Ship Channel. Topographic data were collected by survey personnel on foot and bathymetric measurements were collected using two personal watercraft (PWC). Positioning of both survey platforms was established using survey-grade Global Navigation Satellite Systems (GNSS). The GPS Backpack platform consisted of survey grade Trimble R10 and R7 GNSS receivers with Zephyr 2 antennas. The PWC platform consisted of Trimble R7 GNSS receivers with Zephyr 2 antennas combined with Odom Echotrac CV-100 single-beam echosounders and 200 kHz transducers. Additional topographic and bathymetric data were used to generate the final digital elevation model, including aerial Light Detection and Ranging (lidar) collected for the Department of Water Resources in 2007 and single beam bathymetric data collected by Environmental Data Solutions in 2009. Orthometric elevations relative to NAVD88 were computed using the National Geodetic Survey Geoid12a and the final data were projected in Cartesian coordinates using the UTM Zone 10 North (meters) coordinate system. The Digital Elevation Model (DEM) was created by interpolating between measurements as much as 100 meters apart, for this reason we cannot evaluate the accuracy of each point in the DEM, only the measurements it is based on. The mean estimated vertical uncertainties of the 2007 Department in the Water Resources lidar, the 2015 USGS GPS Backpack, and the 2015 USGS PWC survey data are 18.5, 3.5 and 6.1 cm, respectively.
DOI: 10.5066/p9f0zasv
title: Fish Abundance and Distribution in Restored Tidal Wetlands in the Northern Sacramento-San Joaquin Delta, California, 2017-2018

description: Field data for fishes sampled using bottom gill nets and otter trawls and associated water quality variables in the northern part of the Sacramento-San Joaquin Delta, California, USA. Two adjacent tidal wetlands were targeted for sampling: Little Holland Tract and Liberty Island Conservation Bank.
DOI: 10.7302/acjm-cz18
title: Analyzing Reviewer Responses to Systematic Review Search Methodology through Open Peer Review

description: We conducted a search through BioMed Central's 54 medicine and public health journals that provide OPR documentation in order to identify systematic review papers published in 2017. For each article we determined if OPR data, reviewer and author comments, were accessible. If so, we assessed the search methodology and reporting quality of the search process with a grading rubric based on PRISMA and PRESS standards, and then mined peer reviewer comments for references to the search methodology. 
description: Journals list was pulled from BMC Medicine & Public Health collection (54 titles in October 2019) https://www.biomedcentral.com/journals#Medicine-Public-Health.
Citations were exported from the PubMed dataset https://pubmed.ncbi.nlm.nih.gov/ . Data was collected using Qualtrics, and cross tabulations performed for specific items in SPSS.
DOI: 10.5281/zenodo.7528183
title: Relative importance of the mechanisms triggering the Eurasian ice sheet deglaciation

description: Source data of the experiments presented in the manuscript:<br> Relative importance of the mechanisms triggering the Eurasian ice sheet deglaciation<br> Victor van Aalderen, Sylvie Charbit, Christophe Dumas and Aurelien Quiquet Contact information: victor.van-aalderen@lsce.ipsl.fr
DOI: 10.5281/zenodo.8036223
title: Dataset of "Parameter regimes of hemispherical dynamo waves in a spherical shell from 3D MHD simulations" submitting to JGR: Planets

description: Simulation data using Magic code. In the "general properties" part, basic properties (e.g., Pm, Rm, Rol, wave frequency, regime types....) are compressed into 3 python numpy .npz files, according to different Ekman number. For the regime types, we use 0 for failed dynamos, 1 for dipoles, 2 for global waves, 3 for hemispherical waves and 4 for multipolar solutions. In the "cases" part, we include raw output from Magic code for certain cases shown in the article.
DOI: 10.5517/ccdc.csd.cc2grfxl
title: CCDC 2286650: Experimental Crystal Structure Determination

description: Related Article: Alyssa A. DeLucia, Lisa Olshansky|2024|Inorg.Chem.|63|1109|doi:10.1021/acs.inorgchem.3c03470
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.cc2grfym
title: CCDC 2286651: Experimental Crystal Structure Determination

description: Related Article: Alyssa A. DeLucia, Lisa Olshansky|2024|Inorg.Chem.|63|1109|doi:10.1021/acs.inorgchem.3c03470
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.cc2grfzn
title: CCDC 2286652: Experimental Crystal Structure Determination

description: Related Article: Alyssa A. DeLucia, Lisa Olshansky|2024|Inorg.Chem.|63|1109|doi:10.1021/acs.inorgchem.3c03470
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.cc2gvqsv
title: CCDC 2289808: Experimental Crystal Structure Determination

description: Related Article: Jia-Xin Zhang, Wen-Hao Li, Yi-Chuan Huang, Zhen-Qiang Qin, Hong-Yan Li|2024|Dyes Pigm.|222|111922|doi:10.1016/j.dyepig.2023.111922
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.cc2gvsgl
title: CCDC 2289860: Experimental Crystal Structure Determination

description: Related Article: Jia-Xin Zhang, Wen-Hao Li, Yi-Chuan Huang, Zhen-Qiang Qin, Hong-Yan Li|2024|Dyes Pigm.|222|111922|doi:10.1016/j.dyepig.2023.111922
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.cc2gw53n
title: CCDC 2290221: Experimental Crystal Structure Determination

description: Related Article: Hao-Wei Chen, Xi-Ying Wu, Ze-Yu Zhao, Zi-Qi Huang, Xin-Sheng Lei, Guo-Xun Yang, Jiyang Li, Juan Xiong, Jin-Feng Hu|2024|Phytochemistry|219|113963|doi:10.1016/j.phytochem.2023.113963
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.cc2gw54p
title: CCDC 2290222: Experimental Crystal Structure Determination

description: Related Article: Hao-Wei Chen, Xi-Ying Wu, Ze-Yu Zhao, Zi-Qi Huang, Xin-Sheng Lei, Guo-Xun Yang, Jiyang Li, Juan Xiong, Jin-Feng Hu|2024|Phytochemistry|219|113963|doi:10.1016/j.phytochem.2023.113963
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.cc2gw55q
title: CCDC 2290223: Experimental Crystal Structure Determination

description: Related Article: Hao-Wei Chen, Xi-Ying Wu, Ze-Yu Zhao, Zi-Qi Huang, Xin-Sheng Lei, Guo-Xun Yang, Jiyang Li, Juan Xiong, Jin-Feng Hu|2024|Phytochemistry|219|113963|doi:10.1016/j.phytochem.2023.113963
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.cc2gw56r
title: CCDC 2290224: Experimental Crystal Structure Determination

description: Related Article: Hao-Wei Chen, Xi-Ying Wu, Ze-Yu Zhao, Zi-Qi Huang, Xin-Sheng Lei, Guo-Xun Yang, Jiyang Li, Juan Xiong, Jin-Feng Hu|2024|Phytochemistry|219|113963|doi:10.1016/j.phytochem.2023.113963
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.cc2gxxt4
title: CCDC 2291917: Experimental Crystal Structure Determination

description: Related Article: Zi-Yi Xia, Man-Man Sun, Yang Jin, Ming-Zhi Su, Song-Wei Li, Hong Wang, Yue-Wei Guo|2024|Phytochemistry|219|113960|doi:10.1016/j.phytochem.2023.113960
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.cc2gxxv5
title: CCDC 2291918: Experimental Crystal Structure Determination

description: Related Article: Zi-Yi Xia, Man-Man Sun, Yang Jin, Ming-Zhi Su, Song-Wei Li, Hong Wang, Yue-Wei Guo|2024|Phytochemistry|219|113960|doi:10.1016/j.phytochem.2023.113960
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: 10.34943/d63b2ccf-7a02-4970-89f5-988b8ae26657
title: Endeavour Sediment Trap Deployed 2022-07-31

description: The McLane Sediment Trap 78H-21 (S/N 14753-02) was deployed on 2022-07-31 at Endeavour. Endeavour is located near the northern end of the Juan de Fuca Ridge, west of the coast of Washington and southwest of Vancouver Island. This device is a Sediment Trap. Sediment traps use a conical-shaped trap to guide settling particles into a set of sample bottles. Separate bottle samples are collected as the instrument is rotated. Sediment traps can be remotely triggered by a user or on a set schedule. Sediment traps record operational conditions including the sample date, time, and temperature during each sampling event. Upon instrument recovery, the samples are analyzed in a lab for particle flux and composition over time. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5517/ccdc.csd.cc2gzkz0
title: CCDC 2293503: Experimental Crystal Structure Determination

description: Related Article: Jingnan Xu, Ren-Yin Yang, Bo Xu|2024|Org.Lett.|26|62|doi:10.1021/acs.orglett.3c03625
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.cc2h2yfz
title: CCDC 2296741: Experimental Crystal Structure Determination

description: Related Article: Yung-Jing Xue, Ze-Yu Lai, Han-Cheng Lu, Jun-Cheng Hong, Chia-Lin Tsai, Ching-Li Huang, Kuo-Hsiu Huang, Chia-Fang Lu, Yu-Ying Lai, Chain-Shu Hsu, Jhih-Min Lin, Je-Wei Chang, Su-Ying Chien, Gene-Hsiang Lee, U-Ser Jeng, Yen-Ju Cheng|2023|J.Am.Chem.Soc.|146|833|doi:10.1021/jacs.3c11062
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.cc2h3593
title: CCDC 2296954: Experimental Crystal Structure Determination

description: Related Article: Yung-Jing Xue, Ze-Yu Lai, Han-Cheng Lu, Jun-Cheng Hong, Chia-Lin Tsai, Ching-Li Huang, Kuo-Hsiu Huang, Chia-Fang Lu, Yu-Ying Lai, Chain-Shu Hsu, Jhih-Min Lin, Je-Wei Chang, Su-Ying Chien, Gene-Hsiang Lee, U-Ser Jeng, Yen-Ju Cheng|2023|J.Am.Chem.Soc.|146|833|doi:10.1021/jacs.3c11062
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.cc2h4wk3
title: CCDC 2298605: Experimental Crystal Structure Determination

description: Related Article: Alyssa A. DeLucia, Lisa Olshansky|2024|Inorg.Chem.|63|1109|doi:10.1021/acs.inorgchem.3c03470
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.cc2h61vm
title: CCDC 2299730: Experimental Crystal Structure Determination

description: Related Article: Xuan Wang, Furong Shi, Yangyang Liu, Nuonuo Zhang, Jiaying Yan|2024|Dyes Pigm.|223|111933|doi:10.1016/j.dyepig.2023.111933
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.