cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/8eadh-bpa64
title: Antelope Valley Earthquake DAS Data

description: This dataset contains the DAS recordings of the 2021 Antelope Valley Mw 6.0 mainshock and two aftershocks used for EGFs in the manuscript.
DOI: 10.23641/asha.21183247
title: Language sample measures: Systematic review (Ramos et al., 2022)

description: <strong>Purpose: </strong>This systematic review provides a comprehensive summary of the diagnostic accuracy of English language sample analysis (LSA) measures for the identification of developmental language disorder. <strong>Method:</strong> An electronic database search was conducted to identify English publications reporting empirical data on the diagnostic accuracy of English LSA measures for children aged 3 years or older. <strong>Results: </strong>Twenty-eight studies were reviewed. Studies included between 18 and 676 participants ranging in age from 3;0 to 13;6 (years;months). Analyzed measures targeted multiple linguistic domains, and diagnostic accuracy ranged from less than 25% to greater than 90%. Morphosyntax measures achieved the highest accuracy, especially in combination with length measures, and at least one acceptable measure was identified for each 1-year age band up to 10 years old. <strong>Conclusion:</strong> Several LSA measures or combinations of measures are clinically useful for the identification of developmental language disorder, although more research is needed to replicate findings using rigorous methods and to explore measures that are informative for adolescents and across diverse varieties of English. <strong>Supplemental Material S1. </strong>Two tables are included that provide diagnostic accuracy metrics for all measures and reference measures used across all reviewed studies. <strong>Supplemental Material S2. </strong>Clinical guide to language sample analysis measures with best accuracy. Ramos, M. N., Collins, P., & Peña, E. D. (2022). Sharpening our tools: A systematic review to identify diagnostically accurate language sample measures. <em>Journal of Speech, Language, and Hearing Research</em>. Advance online publication. https://doi.org/10.1044/2022_JSLHR-22-00121
DOI: 10.23641/asha.21183247.v1
title: Language sample measures: Systematic review (Ramos et al., 2022)

description: <strong>Purpose: </strong>This systematic review provides a comprehensive summary of the diagnostic accuracy of English language sample analysis (LSA) measures for the identification of developmental language disorder. <strong>Method:</strong> An electronic database search was conducted to identify English publications reporting empirical data on the diagnostic accuracy of English LSA measures for children aged 3 years or older. <strong>Results: </strong>Twenty-eight studies were reviewed. Studies included between 18 and 676 participants ranging in age from 3;0 to 13;6 (years;months). Analyzed measures targeted multiple linguistic domains, and diagnostic accuracy ranged from less than 25% to greater than 90%. Morphosyntax measures achieved the highest accuracy, especially in combination with length measures, and at least one acceptable measure was identified for each 1-year age band up to 10 years old. <strong>Conclusion:</strong> Several LSA measures or combinations of measures are clinically useful for the identification of developmental language disorder, although more research is needed to replicate findings using rigorous methods and to explore measures that are informative for adolescents and across diverse varieties of English. <strong>Supplemental Material S1. </strong>Two tables are included that provide diagnostic accuracy metrics for all measures and reference measures used across all reviewed studies. <strong>Supplemental Material S2. </strong>Clinical guide to language sample analysis measures with best accuracy. Ramos, M. N., Collins, P., & Peña, E. D. (2022). Sharpening our tools: A systematic review to identify diagnostically accurate language sample measures. <em>Journal of Speech, Language, and Hearing Research</em>. Advance online publication. https://doi.org/10.1044/2022_JSLHR-22-00121
DOI: 10.6084/m9.figshare.21235578
title: S3 Dataset.xlsx

description: Dataset used for statistical analysis of scientific paper "Evaluation of dry eye symptoms and risk factors among medical students in Serbia".
DOI: 10.6084/m9.figshare.21235578.v1
title: S3 Dataset.xlsx

description: Dataset used for statistical analysis of scientific paper "Evaluation of dry eye symptoms and risk factors among medical students in Serbia".
DOI: 10.5519/qd.3ei68g0u
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1024 records)
DOI: 10.15784/601610
title: Underwater transect videos used for community analyses

description: This dataset consists of underwater videos of transects along the benthos at 14 sites between the Joubin Islands in the north and the Terra Firma Islands in the south. These were used for community analyses of the benthic communities.
DOI: 10.34740/kaggle/dsv/4265189
title: NYU-Depth-V2-Numpy
DOI: 10.5517/ccdc.csd.cc2brymp
title: CCDC 2167973: Experimental Crystal Structure Determination

description: Related Article: Riccardo Marin, Diogo Alves Gálico, Rezeda Gayfullina, Jani O. Moilanen, Luís D. Carlos, Daniel Jaque, Muralee Murugesu|2022|J.Mater.Chem.C|10|13946|doi:10.1039/D2TC01661C
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.cc2c95wr
title: CCDC 2183574: Experimental Crystal Structure Determination

description: Related Article: Ze-Wei Chen, Annamalai Pratheepkumar, Rekha Bai, Yongyi Hu, Satpal Singh Badsara, Kuo-Wei Huang, Chin-Fa Lee|2022|Chem.Commun.|58|11001|doi:10.1039/D2CC04331A
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: 10.6084/m9.figshare.21235719
title: RoyalSociety annual accounts 1665_1847.xlsx

description: The Royal Society only began presenting 'annual accounts' in a modern sense in the 1830s. For the earlier period, from 1665, the Treasurer reported each year on the 'cash in hand' at the year end (30 November), the total income (including last year's cash in hand), and the total expenditure. <br> This spreadsheet contains the income, expenditure and year-end balances from 1665 to 1847, transcribed from Royal Society archival sources (Account Books 1665-1740, and then from Council Minutes) . <br> The transcription was done by Noah Moxham. <br> We have calculated a figure for income-not-including the cash brought forward, to enable us to create a more familiar income/expenditure series, and an annual surplus/deficit calculation. <br> Throughout this period, Britain used the imperial system of currency, in which 12 pennies (12d) = 1 shilling (1s), and 20 shillings = £1 (thus, 240d - £1). This is not very Excel-friendly, so we have used old pennies for graphing (but have included £sd for easier human-reading)
DOI: 10.6084/m9.figshare.21230762
title: Fellows of the Royal Society 1665_2010.xlsx

description: This file contains the number of fellows in the Royal Society of London for each year from 1665 to 2015. It was created as part of the University of St Andrews project on the history of the <em>Philosophical Transactions</em>, pulling data from histories of the Royal Society, from annual reports and, in some cases, from the archive. Originally compiled by Noah Moxham (to 1847) and Julie McDougall-Waters (from 1848), and collated by Aileen Fyfe.
DOI: 10.6073/pasta/7335d28645728c1f6f9afe173d76feab
title: Pre- and Post- construction snorkel surveys at the project and reach stretches, 2014, 2016, 2020, 2021

description: Cramer Fish Sciences (CFS), cbec, inc. ecoengineering, and South Yuba River Citizen’s League, funded and directed by the United States Fish and Wildlife Service’s Anadromous Fish Restoration Program (USFWS AFRP), teamed to plan, design, monitor, perform regulatory compliance for the Hallwood Side Channel and Floodplain Restoration Project (Project) on the Yuba River, California. The Project is designed to restore and enhance ecosystem processes, with a primary focus on improving productive juvenile salmonid rearing habitat to increase natural production of fall and spring-run Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss) in the Yuba River. The Project would enhance and/or create up to 157 acres of seasonally inundated riparian floodplain habitats, 1.7 miles of perennial side and alcove channels, and more than 6.1 miles of seasonal side channels. The design approach focuses on removing unnatural constraints (such as a mid-river training wall and very coarse surface materials left from mining activities) in order to allow natural river and floodplain processes to function. Construction planning efforts include multi-year phasing to remove about 3.2 million cubic yards of material from the site while optimizing habitat establishment in early years and minimizing disturbance to existing high quality riparian and aquatic habitat. The Project included a robust monitoring program that measured the effect of restoration on a range of ecological parameters thought to influence salmonid habitat use and productivity and riparian ecosystem function using a Before-After-Control-Impact study framework. Specifically, we monitored salmonid and non-native predator density, juvenile salmonid growth and residence time, predation, invertebrate prey (drift) density and biomass, and changes in acreage of a range of habitat types, including terrestrial and aquatic vegetation. We also examined factors influencing natural riparian tree recruitment following restoration.
DOI: 10.6084/m9.figshare.21235725
title: Print run data for Royal Society journals 1665-1970

description: This spreadsheet contains all the data we have so far managed to gather on the print runs of the Philosophical Transactions and the Proceedings of the Royal Society. <br> Philosophical Transactions was founded in 1665, and split into series A and series B in 1887: there are therefore two tabs, dealing with Transaction before and after the split . <br> Proceedings was founded in 1831, and split into series A and series B in 1905: again, there are two tabs, dealing with Proceedings before and after the split. <br> The data are very, very incomplete. After the Royal Society took ownership of the Transactions in 1752, one might have expected better records of printing/publishing details - but print run rarely appears in the Council Minutes. The best data come from the period in the 19th century, when the journals were printed by Richard Taylor (later Taylor & Francis) - and the archives of T&F include ledgers giving details of the print runs. For the 20th century, there are only very occasional reports/reviews that mention print run (though a minimum estimate for print runs can be based upon the known circulation figures after 1955 - see separate file)
DOI: 10.6084/m9.figshare.21235725.v1
title: Print run data for Royal Society journals 1665-1970

description: This spreadsheet contains all the data we have so far managed to gather on the print runs of the Philosophical Transactions and the Proceedings of the Royal Society. <br> Philosophical Transactions was founded in 1665, and split into series A and series B in 1887: there are therefore two tabs, dealing with Transaction before and after the split . <br> Proceedings was founded in 1831, and split into series A and series B in 1905: again, there are two tabs, dealing with Proceedings before and after the split. <br> The data are very, very incomplete. After the Royal Society took ownership of the Transactions in 1752, one might have expected better records of printing/publishing details - but print run rarely appears in the Council Minutes. The best data come from the period in the 19th century, when the journals were printed by Richard Taylor (later Taylor & Francis) - and the archives of T&F include ledgers giving details of the print runs. For the 20th century, there are only very occasional reports/reviews that mention print run (though a minimum estimate for print runs can be based upon the known circulation figures after 1955 - see separate file)
DOI: 10.3886/e112894v1-128240
title: Replication data for: Credit Supply and the Price of Housing

description: An exogenous expansion in mortgage credit has significant effects on house prices. This finding is established using US branching deregulations between 1994 and 2005 as instruments for credit. Credit increases for deregulated banks, but not in placebo samples. Such differential responses rule out demand-based explanations, and identify an exogenous credit supply shock. Because of geographic diversification, treated banks expand credit: housing demand increases, house prices rise, but to a lesser extent in areas with elastic housing supply, where the housing stock increases instead. In an instrumental variable sense, house prices are well explained by the credit expansion induced by deregulation. (JEL G21, G28, R21, R31)
DOI: 10.13011/m3-tz6h-ht18
title: Data for Nonvolatile ECRAM
DOI: 10.5517/ccdc.csd.cc1q5s2r
title: CCDC 1584474: Experimental Crystal Structure Determination

description: Related Article: Wentao Huang, Hong Zhou, Lu Feng|2022|ACS Appl. Energy Mater.|5|10391|doi:10.1021/acsaem.2c02188
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/4265348
title: Classificação Produtos Varejo CPG PTBR
DOI: 10.5281/zenodo.6780684
title: Role of Rheological behavior on biotransformation process of pig manure with Lactobacillus acidophilus

description: Data base from Role of Rheological behavior on biotransformation process of pig manure with Lactobacillus acidophilus
DOI: 10.5281/zenodo.7126947
title: Role of Rheological behavior on biotransformation process of pig manure with Lactobacillus acidophilus

description: Data base from Role of Rheological behavior on biotransformation process of pig manure with Lactobacillus acidophilus
DOI: 10.34740/kaggle/dsv/4265364
title: Procedimentos-por-especialidade
DOI: 10.5281/zenodo.7126817
title: Discrete Flow Cytometry of Underway Samples from TN398 Using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of picophytoplankton populations from discrete flow cytometry data collected underway during the University of Washington School of Oceanography undergraduate senior thesis cruise (TN398) during December 2021 from Honolulu to San Diego, crossing through the Great Pacific Garbage Patch. The data includes cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus, Synechococcus, and and small eukaryotic phytoplankton (&lt;5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton
DOI: 10.5281/zenodo.7126816
title: Discrete Flow Cytometry of Underway Samples from TN398 Using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of picophytoplankton populations from discrete flow cytometry data collected underway during the University of Washington School of Oceanography undergraduate senior thesis cruise (TN398) during December 2021 from Honolulu to San Diego, crossing through the Great Pacific Garbage Patch. The data includes cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus, Synechococcus, and and small eukaryotic phytoplankton (&lt;5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton
DOI: 10.5281/zenodo.7127017
title: Dissolved Siderophore Concentrations Station ALOHA

description: Dissolved (&lt; 0.2 um) siderophore concentrations measured at Station ALOHA in different seasons.
DOI: 10.5281/zenodo.7127016
title: Dissolved Siderophore Concentrations Station ALOHA

description: Dissolved (&lt; 0.2 um) siderophore concentrations measured at Station ALOHA in different seasons.
DOI: 10.5281/zenodo.7078628
title: Model outputs in the northern shelf of the South China Sea

description: The data used in the figure of manuscript are available in Figure.rar file. The 201706XX_Chla_budget_2.mat files are the model outputs of the chlorophyll budget terms after process. The Biogeo*.mat files are the model outputs of the chlorophyll biological terms after process. The nutrient*.mat files are the model outputs of the nutrients (no3 and po4). *NoR means the NoRiver run. *ZMix means the ZMix run.
DOI: 10.5281/zenodo.7078629
title: Model outputs in the northern shelf of the South China Sea

description: The data used in the figure of manuscript are available in Figure.rar file. The 201706XX_Chla_budget_2.mat files are the model outputs of the chlorophyll budget terms after process. The Biogeo*.mat files are the model outputs of the chlorophyll biological terms after process. The nutrient*.mat files are the model outputs of the nutrients (no3 and po4).
DOI: 10.5281/zenodo.7127043
title: Model outputs in the northern shelf of the South China Sea

description: The data used in the figure of manuscript are available in Figure.rar file. The 201706XX_Chla_budget_2.mat files are the model outputs of the chlorophyll budget terms after process. The Biogeo*.mat files are the model outputs of the chlorophyll biological terms after process. The nutrient*.mat files are the model outputs of the nutrients (no3 and po4). *NoR means the NoRiver run. *ZMix means the ZMix run.
DOI: 10.25921/fqy4-5j18
title: EK60 Water Column Sonar Data Collected During NF2105
DOI: 10.26188/19100996.v3
title: Data from MIKE 21 models for training and validation of Sparse GP models in "Upskilling low-fidelity hydrodynamic models of flood inundation through spatial analysis and Gaussian Process learning"

description: Data from MIKE 21 models for training and validation of Sparse GP models. The data is used for publication in "Upskilling low-fidelity hydrodynamic models of flood inundation through spatial analysis and Gaussian Process learning" with the Chowilla floodplain as case study.<br> The data is structured in three folders: - The raw data folder contains results for running the hydrodynamic models. One folder for the high-fidelity model (HF) and one for the low-fidelity model (LF). Both folders contain MIKE 21 .dfsu data files. <br> - The managed data folder is structured in three folders. "Classification_Figures" contain figures generated for the publication. "Events_data" contains the MIKE 21 data in binary format as .npz files to be read via the Numpy package in Python. "SPGP_class_models" contains the trained Sparse GP (SPGP) models, EOF analysis data and categories depending on the binary state of the data on cell level. <br> - Boundary data folder contain data for the boundaries of the hydrodynamic models. This data is retrieved from the Bureau of Meteorology's online water data platform: http://www.bom.gov.au/waterdata/<br> Python code is located in the main folder and on https://github.com/nfraehr/Hybrid_LSG_model
DOI: 10.26188/62143bdd9fa63
title: Data from MIKE 21 models for training and validation of Sparse GP models in "Upskilling low-fidelity hydrodynamic models of flood inundation through spatial analysis and Gaussian Process learning"

description: Data from MIKE 21 models for training and validation of Sparse GP models. The data is used for publication in "Refining l ow-fidelity hydrodynamic model outputs of flood inundation through spatial analysis and Gaussian Process learning" with the Chowilla floodplain as case study.<br> The data is structured in three folders: - The raw data folder contains results for running the hydrodynamic models. One folder for the high-fidelity model (HF) and one for the low-fidelity model (LF). Both folders contain MIKE 21 .dfsu data files. <br> - The managed data folder is structured in three folders. "Classification_Figures" contain figures generated for the publication. "Events_data" contains the MIKE 21 data in binary format as .npz files to be read via the Numpy package in Python. "SPGP_class_models" contains the trained Sparse GP (SPGP) models, EOF analysis data and categories depending on the binary state of the data on cell level. <br> - Boundary data folder contain data for the boundaries of the hydrodynamic models. This data is retrieved from the Bureau of Meteorology's online water data platform: http://www.bom.gov.au/waterdata/<br> Python code is located in the main folder and on https://github.com/nfraehr/Hybrid_LSG_model
DOI: 10.26188/19100996.v2
title: Data from MIKE 21 models for training and validation of Sparse GP models in "Upskilling low-fidelity hydrodynamic models of flood inundation through spatial analysis and Gaussian Process learning"

description: Data from MIKE 21 models for training and validation of Sparse GP models.The data is used for publication in "Refining l ow-fidelity hydrodynamic model outputs of flood inundation through spatial analysis and Gaussian Process learning" with the Chowilla floodplain as case study.<br><br>The raw data is structured in two folders. One for the high-fidelity model (HF) and one for the low-fidelity model (LF). Both folders contain MIKE 21 .dfsu data files.<br>The managed data is structured in three folders. "Classification_Figures" contain figures generated for the publication. "Events_data" contains the MIKE 21 data in binary format as .npz files to be read via the Numpy package in Python. "SPGP_class_models" contains the trained Sparse GP (SPGP) models, EOF analysis data and categories depending on the binary state of the data on cell level.<br>Python code to generate the managed data is available at https://github.com/nfraehr/Hybrid_LSG_model
DOI: 10.6084/m9.figshare.21235803
title: Nishikawa et al Echinotriton data.xls

description: Measurement data of external morphology of Echinotriton newts.
DOI: 10.17608/k6.auckland.21235809.v1
title: Calculating Keratoscopy corneal power.xlsx

description: This is how the corneal powers were calculated from the keratoscopy images in this collection
DOI: 10.17608/k6.auckland.21235809
title: Calculating Keratoscopy corneal power.xlsx

description: This is how the corneal powers were calculated from the keratoscopy images in this collection
DOI: 10.34740/kaggle/dsv/4265313
title: Teste Disciplina Tópicos
DOI: 10.6084/m9.figshare.20530224.v1
title: Effect size of Dna-j heat shock protein family B member 9 (DNAJB9) biomarker in kidney biopsy specimens on kidney outcomes in fibrillary glomerulonephritis

description: These are supplementary data.
DOI: 10.6084/m9.figshare.20530224
title: Effect size of Dna-j heat shock protein family B member 9 (DNAJB9) biomarker in kidney biopsy specimens on kidney outcomes in fibrillary glomerulonephritis

description: These are supplementary data.
DOI: 10.6084/m9.figshare.14727177
title: Cat Origins STRs SNPs

description: STR and SNP genotypes for publication on the origins of cat domestication<br>