cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22627129
title: Testing Simultaneous Diagonalizability

description: This article proposes novel methods to test for simultaneous diagonalization of possibly asymmetric matrices. Motivated by various applications, a two-sample test as well as a generalization for multiple matrices are proposed. A partial version of the test is also studied to check whether a partial set of eigenvectors is shared across samples. Additionally, a novel algorithm for the considered testing methods is introduced. Simulation studies demonstrate favorable performance for all designs. Finally, the theoretical results are used to decouple multiple vector autoregression models into univariate time series, and to test for the same stationary distribution in recurrent Markov chains. These applications are demonstrated using macroeconomic indices of eight countries and streamflow data, respectively. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.22627129.v3
title: Testing Simultaneous Diagonalizability

description: This article proposes novel methods to test for simultaneous diagonalization of possibly asymmetric matrices. Motivated by various applications, a two-sample test as well as a generalization for multiple matrices are proposed. A partial version of the test is also studied to check whether a partial set of eigenvectors is shared across samples. Additionally, a novel algorithm for the considered testing methods is introduced. Simulation studies demonstrate favorable performance for all designs. Finally, the theoretical results are used to decouple multiple vector autoregression models into univariate time series, and to test for the same stationary distribution in recurrent Markov chains. These applications are demonstrated using macroeconomic indices of eight countries and streamflow data, respectively. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.25404124
title: Figure 3 Raw Data - 2022-10-29 - 1590

description: 2022-10-29 235332 S PH 50x25um-1590cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.6084/m9.figshare.25404124.v1
title: Figure 3 Raw Data - 2022-10-29 - 1590

description: 2022-10-29 235332 S PH 50x25um-1590cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.25810/094s-mp33
title: A California Earthquake Authority Proxy Portfolio

description: This comma-separated-value file provides an estimate of the insured building stock of single-family dwellings in California as of 2019. We created it to inform a risk analysis described in Porter et al. (in press 2024). It depicts the building stock in terms of its replacement cost in 2019 US dollars. It shows those values subtotalled by census tract, model building type, and code era. "Model building type" refers to the US Federal Emergency Management Agency's (FEMA) FEMA P-154 and Hazus categories. For example W1 refers to small woodframe construction and RM1 refers to reinforced masonry with flexible diaphrams. "Code era" refers to (generally three) degrees of earthquake-resistance requirements--pre-code, moderate code, and high code--embedded in building codes and reflected in the seismic strength of buildings of their day. The file was built from data tables in Hazus that encode a 2010-era estimate of the building stock. We increased the quantity of buildings in that 2003 estimate by scaling for state population growth and inflation from 2010 to 2019. We filtered that Hazus-based data to include only single-family dwellings, referred to as "RES1" occupancy. We then scaled values down in proportion to the fraction of existing homes insured by the California Earthquake Authority. Thus, the resulting data set approximates the portfolio of buildings insured by the California Earthquake Authority. Why filter just for RES1 and scale for the California Earthquake Authority's market penetration? Two pragmatic reasons. First, filtering for RES1 buildings greatly reduced the (very demanding) computational effort required for Porter et al. (expected 2024). Second, the risk analysis was funded by the California Earthquake Authority.

Porter, K., Milner, K., and Field, E. (in press 2024). Trimming the UCERF3-TD logic tree: model order reduction for an earthquake rupture forecast considering loss exceedance. Earthquake Spectra, accepted September 2023.
DOI: 10.15131/shef.data.19673772
title: SNuC: The Sheffield Numbers Spoken Language Corpus

description: SNuC is the first published corpus of spoken alphanumeric identifiers of the sort typically used as serial and part numbers in the manufacturing sector. The dataset contains recordings and transcriptions of over 50 native British English speakers, speaking over 13,000 multi-character alphanumeric sequences and totalling almost 20 hours of recorded speech.
<br>
Ethical approval to use human participants to gather spoken data using the setup described above was sought and obtained via the University of Sheffield's Research Ethics Review procedures (application 031449). 
<br>
Please refer to the following paper for more information about this dataset: 
Barker, E., Barker, J., Gaizauskas, R., Ma, N., Paramita, M. L. 2022. SNuC: The Sheffield Numbers Spoken Language Corpus. In: Proceedings of LREC 2022 (forthcoming).
DOI: 10.15131/shef.data.19673772.v2
title: SNuC: The Sheffield Numbers Spoken Language Corpus

description: SNuC is the first published corpus of spoken alphanumeric identifiers of the sort typically used as serial and part numbers in the manufacturing sector. The dataset contains recordings and transcriptions of over 50 native British English speakers, speaking over 13,000 multi-character alphanumeric sequences and totalling almost 20 hours of recorded speech.
<br>
Ethical approval to use human participants to gather spoken data using the setup described above was sought and obtained via the University of Sheffield's Research Ethics Review procedures (application 031449). 
<br>
Please refer to the following paper for more information about this dataset: 
Barker, E., Barker, J., Gaizauskas, R., Ma, N., Paramita, M. L. 2022. SNuC: The Sheffield Numbers Spoken Language Corpus. In: Proceedings of LREC 2022 (forthcoming).
DOI: 10.6084/m9.figshare.25404139
title: Figure 3 Raw Data - 2022-10-29 - 1600

description: 2022-10-30 000207 S PH 50x25um-1600cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.6084/m9.figshare.25404139.v1
title: Figure 3 Raw Data - 2022-10-29 - 1600

description: 2022-10-30 000207 S PH 50x25um-1600cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.15131/shef.data.20480241
title: Fluorescent dye traces in four UK sewer networks

description: This dataset describes experimental fluorescent dye traces (temporal concentration profiles) recorded in manholes within combined sewer networks located in four different cities across the United Kingdom. It accompanies the journal article entitled "Quantifying mixing in sewer networks for source localisation" (Sonnenwald et al., submitted). This dataset was collected by Professor Ian Guymer and colleagues. This archive was funded by EPSRC grant EP/P012027/1 and the UK Health Security Agency.
DOI: 10.15131/shef.data.20480241.v2
title: Fluorescent dye traces in four UK sewer networks

description: This dataset describes experimental fluorescent dye traces (temporal concentration profiles) recorded in manholes within combined sewer networks located in four different cities across the United Kingdom. It accompanies the journal article entitled "Quantifying mixing in sewer networks for source localisation" (Sonnenwald et al., submitted). This dataset was collected by Professor Ian Guymer and colleagues. This archive was funded by EPSRC grant EP/P012027/1 and the UK Health Security Agency.
DOI: 10.6084/m9.figshare.25404148
title: Figure 3 Raw Data - 2022-10-30 - 1609

description: 2022-10-30 001106 S PH 50x25um-1609cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.6084/m9.figshare.25404148.v1
title: Figure 3 Raw Data - 2022-10-30 - 1609

description: 2022-10-30 001106 S PH 50x25um-1609cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.6084/m9.figshare.25404157
title: Figure 3 Raw Data - 2022-10-30 - 1620

description: 2022-10-30 002255 S PH 50x25um-1620cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.6084/m9.figshare.25404157.v1
title: Figure 3 Raw Data - 2022-10-30 - 1620

description: 2022-10-30 002255 S PH 50x25um-1620cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.17592/001.2023101901
title: Spatiotemporally continuous temperature monitoring using optical fibers (Loop1) in the internal forest areas in Alaska for the period from 2017 to 2019

description: A fiber-optic DTS (distributed temperature sensing) system using Raman-scattering optical time domain reflectometry was implemented at a research site in the interior of Alaska (Poker Flat Research Range) to delineate the spatiotemporal characteristics of the variations in air, surface, and ground temperatures associated with the boreal forest heterogeneity in terms of surface and canopy conditions. This is the last portion of the Loop1 measurements, which started in 2012, continued with occasional partial and total interruptions due to several factors, and terminated because of the malfunction of the DTS equipment. In the Loop1 measurement, a fiber-optic cable sensor (multi-mode, GI50/125, dual-core; 3.4 mm) was deployed across the landscape to measure temperatures at high spatiotemporal resolution (0.5 m intervals, every 30 minutes) horizontally across the different land surface cover types (i.e., relict thermokarst lake, open moss, shrub, deciduous forest, sparse spruce, and dense spruce). It also had four sub-sections where the cable sensor was set in coil configurations (1.2 m high), installed vertically half below and half above the ground to capture high-resolution vertical temperature profiles from the subsurface up to snowpack height at approximately 5 mm intervals. The total cable ran 1.9 km, within which about a 1.4 km section covered horizontal surface paths. Measurements were made from September 23, 2017, to September 6, 2019 (372 observation days).
DOI: 10.17592/001.2019062502
title: Spatio-temporally continuous temperature monitoring using optical fibers (Loop1) in the internal forest areas at Alaska in 2017

description: A fibre-optic DTS (distributed temperature sensing) system using Raman-scattering optical time domain reflectometry was deployed to monitor a boreal forest research site in the interior of Alaska. Surface temperatures range between -40 C in winter and 30 C in summer at this site.
In parallel experiments, a fibre-optic cable sensor system (multi-mode, GI50/125, dual core; 3.4 mm), monitored at high resolution, (0.5m intervals at every 30 min) ground surface temperatures across the landscape. In addition, a highresolution vertical profile was acquired at one-metre height above the upper subsurface. The total cable ran 2.7 km with about 2.0 km monitoring a horizontal surface path. Sections of the cable sensor were deployed in vertical coil configurations (1.2m high) to measure temperature profiles from the ground up at 5mm intervals. Measurements were made continuously over a 2-year interval from October 2012 to October 2014. 
Vegetation at the site (Poker Flat Research Range) consists primarily of black spruce underlain by permafrost. Land cover types within the study area were classified into six descriptive categories: relict thermokarst lake, open moss, shrub, deciduous forest, sparse conifer forest, and dense conifer forest. The horizontal temperature data exhibited spatial and temporal changes within the observed diurnal and seasonal variations. Differences in snow pack evolution and insulation effects co-varied with the land cover types.
The apparatus used to monitor vertical temperature profiles generated high-resolution (ca. 5 mm) data for air column, snow cover, and ground surface.
DOI: 10.17592/001.2019062503
title: Spatio-temporally continuous temperature monitoring using optical fibers (Loop1) in the internal forest areas at Alaska in 2018

description: A fibre-optic DTS (distributed temperature sensing) system using Raman-scattering optical time domain reflectometry was deployed to monitor a boreal forest research site in the interior of Alaska. Surface temperatures range between -40 C in winter and 30 C in summer at this site.
In parallel experiments, a fibre-optic cable sensor system (multi-mode, GI50/125, dual core; 3.4 mm), monitored at high resolution, (0.5m intervals at every 30 min) ground surface temperatures across the landscape. In addition, a highresolution vertical profile was acquired at one-metre height above the upper subsurface. The total cable ran 2.7 km with about 2.0 km monitoring a horizontal surface path. Sections of the cable sensor were deployed in vertical coil configurations (1.2m high) to measure temperature profiles from the ground up at 5mm intervals. Measurements were made continuously over a 2-year interval from October 2012 to October 2014. 
Vegetation at the site (Poker Flat Research Range) consists primarily of black spruce underlain by permafrost. Land cover types within the study area were classified into six descriptive categories: relict thermokarst lake, open moss, shrub, deciduous forest, sparse conifer forest, and dense conifer forest. The horizontal temperature data exhibited spatial and temporal changes within the observed diurnal and seasonal variations. Differences in snow pack evolution and insulation effects co-varied with the land cover types.
The apparatus used to monitor vertical temperature profiles generated high-resolution (ca. 5 mm) data for air column, snow cover, and ground surface.
DOI: 10.17592/001.2019102101
title: Spatio-temporally continuous temperature monitoring using optical fibers (Loop1) in the internal forest areas at Alaska in 2019

description: A fibre-optic DTS (distributed temperature sensing) system using Raman-scattering optical time domain reflectometry was deployed to monitor a boreal forest research site in the interior of Alaska. Surface temperatures range between -40 C in winter and 30 C in summer at this site.
In parallel experiments, a fibre-optic cable sensor system (multi-mode, GI50/125, dual core; 3.4 mm), monitored at high resolution, (0.5m intervals at every 30 min) ground surface temperatures across the landscape. In addition, a highresolution vertical profile was acquired at one-metre height above the upper subsurface. The total cable ran 2.7 km with about 2.0 km monitoring a horizontal surface path. Sections of the cable sensor were deployed in vertical coil configurations (1.2m high) to measure temperature profiles from the ground up at 5mm intervals. Measurements were made continuously over a 2-year interval from October 2012 to October 2014. 
Vegetation at the site (Poker Flat Research Range) consists primarily of black spruce underlain by permafrost. Land cover types within the study area were classified into six descriptive categories: relict thermokarst lake, open moss, shrub, deciduous forest, sparse conifer forest, and dense conifer forest. The horizontal temperature data exhibited spatial and temporal changes within the observed diurnal and seasonal variations. Differences in snow pack evolution and insulation effects co-varied with the land cover types.
The apparatus used to monitor vertical temperature profiles generated high-resolution (ca. 5 mm) data for air column, snow cover, and ground surface.
DOI: 10.6084/m9.figshare.25404172.v1
title: Figure 3 Raw Data - 2022-10-30 - 1629.5

description: 2022-10-30 004513 S PH 50x25um-1629.5cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.6084/m9.figshare.25404172
title: Figure 3 Raw Data - 2022-10-30 - 1629.5

description: 2022-10-30 004513 S PH 50x25um-1629.5cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.5883/ds-bacalar
title: New methods for aquatic biodiversity sampling and analysis, including integrative taxonomy for the northern Neotropics: a focus on the ostracods

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: 10.5883/ds-deeur398
title: A review of the Cochylimorpha perfusana (Guenee, 1845) species group (Lepidoptera, Tortricidae) in Europe, with the description of a new species from the Southern Carpathians (Romania)

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: 10.22002/18yv9-7aw57
title: Dataset: Neurodegeneration-related genes influence C. elegans pharyngeal activity

description: Raw Data
DOI: 10.22002/vnk2h-25266
title: Dataset: Neurodegeneration-related genes influence C. elegans pharyngeal activity

description: Detailed Statistical Analysis
DOI: 10.5517/ccdc.csd.cc2g82qk
title: CCDC 2271888: Experimental Crystal Structure Determination

description: Related Article: R.Y. Balakhonov, E.B. Gaeva, I.S. Mekeda, R.A. Dolotov, A.V. Metelitsa, V.Z. Shirinian|2024|Dyes Pigm.|225|112032|doi:10.1016/j.dyepig.2024.112032
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.cc2gjjn6
title: CCDC 2280008: Experimental Crystal Structure Determination

description: Related Article: Mirco Scaccaglia, Michael P. Birbaumer, Silvana Pinelli, Giorgio Pelosi, Angelo Frei|2024|Chemical Science|15|3907|doi:10.1039/D3SC05326A
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.cc2gjjq8
title: CCDC 2280010: Experimental Crystal Structure Determination

description: Related Article: Mirco Scaccaglia, Michael P. Birbaumer, Silvana Pinelli, Giorgio Pelosi, Angelo Frei|2024|Chemical Science|15|3907|doi:10.1039/D3SC05326A
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.cc2gjl2p
title: CCDC 2280052: Experimental Crystal Structure Determination

description: Related Article: Akihiro Tomimatsu, Rie Suizu, Miyabi Nakazawa, Takashi Shirahata, Yohji Misaki, Naoya Kinoshita, Kunio Awaga|2023|CSD Communication|||
description: Related Article: Akihiro Tomimatsu, Rie Suizu, Miyabi Nakazawa, Takashi Shirahata, Yohji Misaki, Naoya Kinoshita, Kunio Awaga|2024|Faraday Discuss.|96|250|doi:10.1039/D3FD00125C
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.cc2gm83h
title: CCDC 2282626: Experimental Crystal Structure Determination

description: Related Article: Mariya V. Grudova, Alexey S. Galushko, Valentina V. Ilyushenkova, Mikhail E. Minyaev, Artem N. Fakhrutdinov, Darya O. Prima, Valentine P. Ananikov|2024|Inorg.Chem.Front.|11|1839|doi:10.1039/D3QI02672H
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.cc2gm84j
title: CCDC 2282627: Experimental Crystal Structure Determination

description: Related Article: Mariya V. Grudova, Alexey S. Galushko, Valentina V. Ilyushenkova, Mikhail E. Minyaev, Artem N. Fakhrutdinov, Darya O. Prima, Valentine P. Ananikov|2024|Inorg.Chem.Front.|11|1839|doi:10.1039/D3QI02672H
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.cc2gm85k
title: CCDC 2282628: Experimental Crystal Structure Determination

description: Related Article: Mariya V. Grudova, Alexey S. Galushko, Valentina V. Ilyushenkova, Mikhail E. Minyaev, Artem N. Fakhrutdinov, Darya O. Prima, Valentine P. Ananikov|2024|Inorg.Chem.Front.|11|1839|doi:10.1039/D3QI02672H
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.cc2gm87m
title: CCDC 2282630: Experimental Crystal Structure Determination

description: Related Article: Mariya V. Grudova, Alexey S. Galushko, Valentina V. Ilyushenkova, Mikhail E. Minyaev, Artem N. Fakhrutdinov, Darya O. Prima, Valentine P. Ananikov|2024|Inorg.Chem.Front.|11|1839|doi:10.1039/D3QI02672H
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.cc2gm86l
title: CCDC 2282629: Experimental Crystal Structure Determination

description: Related Article: Mariya V. Grudova, Alexey S. Galushko, Valentina V. Ilyushenkova, Mikhail E. Minyaev, Artem N. Fakhrutdinov, Darya O. Prima, Valentine P. Ananikov|2024|Inorg.Chem.Front.|11|1839|doi:10.1039/D3QI02672H
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.cc2gmtnl
title: CCDC 2283170: Experimental Crystal Structure Determination

description: Related Article: Hui-Qing Geng, Yan-Hua Zhao, Peng Yang, Xiao-Feng Wu|2024|Chemical Science|15|3996|doi:10.1039/D4SC00156G
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: 10.34740/kaggle/dsv/7837584
title: Kraken OHLCV Full Historical Record