cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2gm5lw
title: CCDC 2282548: Experimental Crystal Structure Determination

description: Related Article: Yuzhong Shi, Jinqiu Fu, Yingying Wang, Yihang Hou, Rongxi Guo, Mengyang Cai, Yajie Zhang, Hanjie Ying, Pengpeng Yang, Keke Zhang|2024|J.Mol.Liq.|395|123871|doi:10.1016/j.molliq.2023.123871
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.cc2gm5mx
title: CCDC 2282549: Experimental Crystal Structure Determination

description: Related Article: Yuzhong Shi, Jinqiu Fu, Yingying Wang, Yihang Hou, Rongxi Guo, Mengyang Cai, Yajie Zhang, Hanjie Ying, Pengpeng Yang, Keke Zhang|2024|J.Mol.Liq.|395|123871|doi:10.1016/j.molliq.2023.123871
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.cc2gm5ny
title: CCDC 2282550: Experimental Crystal Structure Determination

description: Related Article: Yuzhong Shi, Jinqiu Fu, Yingying Wang, Yihang Hou, Rongxi Guo, Mengyang Cai, Yajie Zhang, Hanjie Ying, Pengpeng Yang, Keke Zhang|2024|J.Mol.Liq.|395|123871|doi:10.1016/j.molliq.2023.123871
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: 10.25504/fairsharing.7nz5ce
title: FAIRsharing record for: International Classification of Primary Care - 2 PLUS
title: ICPC2P

description: This FAIRsharing record describes: ICPC-2 PLUS
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.5883/ds-mtpno
title: Two new records and description of a new Perinereis (Annelida, Nereididae) species for the Saudi Arabian Red Sea region

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.25504/fairsharing.7atam0
title: DCMI Type Vocabulary
title: DCMITYPE

description: The DCMI Type Vocabulary provides a general, cross-domain list of approved terms that may be used as values for the Resource Type element to identify the genre of a resource
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.750ps9
title: Gene Regulation Ontology
title: GRO

description: "Gene Regulation Ontology" is a standard, specialising in the fields described under "scope and data types", below. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/GRO. This text was generated automatically. If you work on the project responsible for "Gene Regulation Ontology" then please consider helping us  by claiming this record  and updating it appropriately.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.6xd2hd
title: CLUSTAL-W Dendrogram Guide File Format
title: CLUSTAL-W Dendrogram Guide File Format

description: "CLUSTAL-W Dendrogram Guide File Format" is a standard, specialising in the fields described under "scope and data types", below. Until this entry is claimed, more information on this project can be found at http://rothlab.ucdavis.edu/genhelp/clustalw+.html. This text was generated automatically. If you work on the project responsible for "CLUSTAL-W Dendrogram Guide File Format" then please consider helping us  by claiming this record  and updating it appropriately.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.6spv99
title: Simple Modular Architecture Research Tool
title: SMART

description: SMART (Simple Modular Architecture Research Tool) is a web resource  providing simple identification and extensive annotation of protein domains and the exploration of protein domain architectures.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.6q80hf
title: Drug Interaction Knowledge Base Ontology
title: DIKB

description: An evidence taxonomy for pharmacologic studies that, when combined with a set of inclusion criteria, enable drug experts to specify what their confidence in a drug mechanism assertion would be if it were supported by a specific set of evidence.

Boyce R, Collins C, Horn J, Kalet I. Computing with evidence Part I: A drug-mechanism evidence taxonomy oriented toward confidence assignment. J Biomed Inform. 2009 Dec;42(6):979-89. Epub 2009 May 10. PubMed PMID: 19435613; PubMed Central PMCID: PMC2783801.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.5fkbwg
title: FAIRsharing record for: Interventionnelle Non M?dicamenteuse (INM)
title: INM-NPI

description: This FAIRsharing record describes: Interventionnelle Non M?dicamenteuse, Non-Pharmacological Interventions
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.4vb6k
title: Ontology for Genetic Disease Investigations
title: OGDI

description: The ontology for the original papers investigating the relations between susceptibility genetic factors and disease.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.473379
title: FAIRsharing record for: Persistent Uniform Resource Locator
title: PURL

description: This FAIRsharing record describes:  PURLs are Web addresses or Uniform Resource Locators (URLs) that act as permanent identifiers in the face of a dynamic and changing Web infrastructure. Instead of resolving directly to Web resources (documents, data, services, people, etc.). PURLs allow third party control over both URL resolution and resource metadata provision. A URL is simply an address of a resource on the World Wide Web. A Persistent URL is an address on the World Wide Web that causes a redirection to another Web resource. If a Web resource changes location (and hence URL), a PURL pointing to it can be updated. A user of a PURL always uses the same Web address, even though the resource in question may have moved. PURLs may be used by publishers to manage their own information space or by Web users to manage theirs; a PURL service is independent of the publisher of information. Please note that the referenced homepage contains links to an archived google code site, and may not refer to the current specification location. Please get in touch with us if you have more information.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.3ffsnk
title: ISO 19115 Date Type Code
title: ISO19115DTC

description: ISO 19115 Date Type Codes
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.17632/2ggnbmwy4t.1
title: Scheduling for Additive Manufacturing with 2D Packing and Incompatible Items

description: The data presented here is part of the study titled 'Scheduling for additive manufacturing with two-dimensional packing and incompatible items', currently under review for publication in the journal Omega. The data includes both the problem instances used and the corresponding results of the solution algorithms developed.
DOI: 10.17632/2ggnbmwy4t.2
title: Scheduling for Additive Manufacturing with 2D Packing and Incompatible Items

description: The data presented here is part of the study titled 'Scheduling for additive manufacturing with two-dimensional packing and incompatible items', currently under review for publication in the journal Omega. The data includes both the problem instances used and the corresponding results of the solution algorithms developed.
DOI: 10.25504/fairsharing.2b3mqq
title: FAST (Faceted Application of Subject Terminology) FormGenre facet
title: FAST-FORMGENRE

description: FAST is an enumerative, faceted subject heading schema derived from the Library of Congress Subject Headings (LCSH). The purpose of adapting the LCSH with a simplified syntax to create FAST is to retain the very rich vocabulary of LCSH while making the schema easier to understand, control, apply, and use.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.18907p
title: ISO 19115 Extent Information
title: ISO19115EX

description: ISO 19115 Extent Information
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.10bk29
title: FAIRsharing record for: Integrated Microbial Genomes
title: IMG

description: This FAIRsharing record describes: The integrated microbial genomes (IMG) system is a data management, analysis and annotation platform for all publicly available genomes. IMG contains both draft and complete JGI (DoE Joint Genome Institute) microbial genomes integrated with all other publicly available genomes from all three domains of life, together with a large number of plasmids and viruses.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.5281/zenodo.10581917
title: craterocephalus_eyresii_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10581918
title: craterocephalus_eyresii_spades_01.fasta.gz

description: .
DOI: 10.5883/bold:aaj1644
title: Overview of Barcode Index Number - BOLD:AAJ1644

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.18739/a2xg9fc60
title: Observations from Autonomous Ocean Flux Buoy 46 deployed at site CO during the MOSAiC transpolar drift, Arctic Basin, 2019-2020

description: During the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, four Autonomous Ocean Flux Buoys (AOFB) were set up on ice floes on the Siberian side of the Arctic Basin during October 2019 from the Academic Federov ice breaker. AOFB46 was located adjacent to the meteorology tower at the Central Observatory (CO) which was manned from the AWI (Alfred Wegener Institute) Polarstern ice breaker moored to the ice floe. AOFB43, 44, and 45 were deployed with other instrument systems at three remote sites – L1, L2 and L3, nominally 20 kilometers (km) out from the CO. The ice pack supporting the observation systems drifted across the Central Arctic toward Spitzbergen during the following 9 months.
 Data in this package from AOFB 46 is contained in a netcdf file with measurements of ocean variables that have been averaged onto 2-hour-long time intervals, the sample rate used for the ocean turbulence measurements. These timeseries are
 1. The decimal yearday (yd) of 2019 of the middle of each 2 hour sample interval.
 2. The GPS (Global positioning system)-derived latitude (lat) and longitude (lon) sampled at the center of each sample interval.
 3. Eastward and Northward absolute ocean velocity profiles including ice velocity derived from the AOFB position, 5 meter (m) currents measured by the turbulence sensor package, and Acoustic Doppler Current Profiler (ADCP) time series of earth-referenced currents from 10 m to 80 m depth sampled every 2 m. Exact measurement depths are contained in the depth vector variable z.
 4. Reynolds stress components and , heat flux , and salt flux , measured by the turbulence sensor nominally at 5 m depth from 2 Hertz (Hz) sampled 35 minute ensembles of high resolution velocity, temperature and conductivity timeseries. Here ρ is the in situ seawater density and cp is the specific heat of seawater.
DOI: 10.5066/p1kxsygd
title: Prospective regions for marine minerals on the Alaska Outer Continental Shelf

description: This shapefile is of prospective regional outlines of where marine minerals may occur on the Alaska Outer Continental Shelf (OCS). Polygons were hand digitized based on a U.S. Geological Survey (USGS) data review that considers the state of knowledge regarding marine mineral occurrences within the Alaska OCS. This data release is a companion to the USGS Professional Paper, Gartman and others, 2022.

Reference
Gartman, A., Mizell, K., and Kreiner, D.C., 2022, Marine minerals in Alaska — A review of coastal and deep-ocean regions: U.S. Geological Survey Professional Paper 1870, 46 p., https://doi.org/10.3133/pp1870.
DOI: 10.5281/zenodo.10581932
title: craterocephalus_fluviatilis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10581933
title: craterocephalus_fluviatilis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10569207
title: Bioinformatic assignment of PKZILLA ketoreductase (KR) stereochemical outcome based on application of a literature trans-AT KR diagnostic residue heuristic

description: Code, derived files, and results from PKZILLA ketoreductase (KR) stereochemical outcome analysis, based of the heuristic described in Supplementary Figure 4 of (Helfrich et al. 2019).





E. J. N. Helfrich et al., “Automated structure prediction of trans-acyltransferase polyketide synthase products,” Nat Chem Biol, vol. 15, no. 8, Art. no. 8, Aug. 2019, doi: 10.1038/s41589-019-0313-7.
DOI: 10.57830/2302125
title: Sub-hourly stream temperature measurements throughout Delaware Water Gap National Recreation Area and New River Gorge National Park and Preserve (2022-2023) Data Package

description: Continuous water temperature measurements were recorded at 59 locations in wadeable streams (watershed size = 2 - 100 km2) throughout Delaware Water Gap National Recreation Area and New River Gorge National Park and Preserve from April 2022 to November 2023. Data loggers were deployed at probabilistically selected sites where benthic macroinvertebrate, fish, and streamside bird communities have been monitored by the Eastern Rivers and Mountains Network (National Park Service) since 2014.
DOI: 10.6084/m9.figshare.22647313
title: SIS-during-natural-dialogue-Data

description: Data set from 18 sessions of pairs of spanish speaking participants engaded in dialogue while playing instances of a game.Containing:EEG: Artifact corrected continuous EEG data.Phrases: Trasncriptions from dialogues.Wavs: Audio recordingsSaves: Preprocessed EEG and Audio data to generate publication figures.github_scripts: Scripts repository. See https://github.com/jegonza66/SIS-during-natural-dialogue for an up to date version of the scripts.
DOI: 10.13012/b2idb-9320144_v1
title: Next-gen sequencing and metadata analyses of Great Lakes fungal data.

description: The data set consists of Illumina sequences derived from 48 sediment samples, collected in 2015 from Lake Michigan and Lake Superior for the purpose of inventoring the fungal diversity in these two lakes. DNA was extracted from ca. 0.5g of sediment using the MoBio PowerSoil DNA isolation kits following the Earth Microbiome protocol. PCR was completed with the fungal primers ITS1F and fITS7 using the Fluidigm Access Array. The resulting amplicons were sequenced using the Illumina Hi-Seq2500 platform with rapid 2 x 250nt paired-end reads. The enclosed data sets contains the forward read files for both primers, both fixed-header index files, and the associated map files needed to be processed in QIIME. In addition, enclosed are two rarefied OTU files used to evaluate fungal diversity.
DOI: 10.3886/c0d9-5x11
title: Guatemala Threshold - Education: Final Analysis Report (Activity 1)
DOI: 10.3886/knv9-k629
title: Guatemala Threshold - Education: Final Analysis Report (Activity 1)
DOI: 10.5281/zenodo.10421152
title: Evaluating sequential and allosteric activation models in IKs channels with mutated voltage sensors

description: The experimental data analysis files for the named study published in The Journal of General Physiology.
DOI: 10.5281/zenodo.10421153
title: Evaluating sequential and allosteric activation models in IKs channels with mutated voltage sensors

description: The experimental data analysis files for the named study published in The Journal of General Physiology.
DOI: 10.6084/m9.figshare.24932560
title: Adaptive Wavelet Domain Principal Component Analysis for Nonstationary Time Series

description: High-dimensional multivariate nonstationary time series, that is, data whose second order properties vary over time, are common in many scientific and industrial applications. In this article we propose a novel wavelet domain dimension reduction technique for nonstationary time series. By constructing a time-scale adaptive principal component analysis of the data, our proposed method is able to capture the salient dynamic features of the multivariate time series. We also introduce a new time and scale dependent <i>cross-coherence</i> measure to quantify the extent of association between a multivariate nonstationary time series and its proposed wavelet domain principal component representation. Theoretical results establish that our associated estimation scheme enjoys good bias and consistency properties when determining wavelet domain principal components of input data. The proposed method is illustrated using extensive simulations and we demonstrate its applicability on a real-world dataset arising in a neuroscience study. Supplementary materials, with proofs of theoretical results, additional simulations and code, are available online.
DOI: 10.6084/m9.figshare.24932560.v2
title: Adaptive Wavelet Domain Principal Component Analysis for Nonstationary Time Series

description: High-dimensional multivariate nonstationary time series, that is, data whose second order properties vary over time, are common in many scientific and industrial applications. In this article we propose a novel wavelet domain dimension reduction technique for nonstationary time series. By constructing a time-scale adaptive principal component analysis of the data, our proposed method is able to capture the salient dynamic features of the multivariate time series. We also introduce a new time and scale dependent <i>cross-coherence</i> measure to quantify the extent of association between a multivariate nonstationary time series and its proposed wavelet domain principal component representation. Theoretical results establish that our associated estimation scheme enjoys good bias and consistency properties when determining wavelet domain principal components of input data. The proposed method is illustrated using extensive simulations and we demonstrate its applicability on a real-world dataset arising in a neuroscience study. Supplementary materials, with proofs of theoretical results, additional simulations and code, are available online.
DOI: 10.6084/m9.figshare.24932560.v1
title: Adaptive wavelet domain principal component analysis for nonstationary time series

description: High-dimensional multivariate nonstationary time series, i.e. data whose second order properties vary over time, are common in many scientific and industrial applications. In this article we propose a novel wavelet domain dimension reduction technique for nonstationary time series. By constructing a time-scale adaptive principal component analysis of the data, our proposed method is able to capture the salient dynamic features of the multivariate time series. We also introduce a new time and scale dependent <i>cross-coherence</i> measure to quantify the extent of association between a multivariate nonstationary time series and its proposed wavelet domain principal component representation. Theoretical results establish that our associated estimation scheme enjoys good bias and consistency properties when determining wavelet domain principal components of input data. The proposed method is illustrated using extensive simulations and we demonstrate its applicability on a real-world dataset arising in a neuroscience study. Supplementary materials, with proofs of theoretical results, additional simulations and code, are available online.