cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9v8no0h
title: Peak-flow frequency analysis for seven selected U.S. Geological Survey streamgages in the Floyd and Little Sioux River Basins, Iowa, based on data through water year 2019

description: This data release presents peak-flow frequency analyses by the U.S. Geological Survey based on methods described by Eash and others (2013) for streamgages 06600100, Floyd River at Alton, Iowa; 06600300, West Branch Floyd River near Struble, Iowa; 06600500, Floyd River near James, Iowa; 06605000, Ocheyedan River near Spencer, Iowa; 06605850, Little Sioux River at Linn Grove, Iowa; 06607200, Maple River at Mapleton, Iowa; and 06607500, Little Sioux River near Turin, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analyses for these streamgages were retrieved from the U.S. Geological Survey National Water Information System database (U.S. Geological Survey, 2020) and used with USGS flood-frequency analysis software PeakFQ (Veilleux and others, 2014). This data release contains annual peak-flow data (floyd_ffa_2019_WATSTORE.txt), PeakFQ specifications (floyd_ffa_2019.psf), and a series of tables describing the methods and results of the peak-flow frequency analysis (floyd_ffa_2019.xlsx). References Cited: Eash, D.A., Barnes, K.K., and Veilleux, A.G., 2013, Methods for estimating annual exceedance-probability discharges for streams in Iowa, based on data through water year 2010: U.S. Geological Survey Scientific Investigations Report 2013-5086, 63 p. with appendix., http://pubs.usgs.gov/sir/2013/5086/. U.S. Geological Survey, 2020, USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed June 25, 2020, at https://doi.org/10.5066/F7P55KJN. Veilleux, A.G., Cohn, T.A., Flynn, K.M., Mason, R.R., Jr., and Hummel, P.R., 2014, Estimating magnitude and frequency of floods using the PeakFQ 7.0 program: U.S. Geological Survey Fact Sheet 2013?3108, 2 p., https://dx.doi.org/10.3133/fs20133108.
DOI: 10.5066/f7wq02jx
title: Southwest Exotic Mapping Program (SWEMP) Database, 2007

description: The Southwest Exotic Plant Mapping Program (SWEMP) is a collaborative effort between the United States Geological Survey and federal, tribal, state, county and non-governmental organization (NGO) partners in the southwest. This project is an ongoing effort to compile and distribute regional data on the occurrence of non-native invasive plants in the southwestern United States. The database represents the known sites (represented by a point location, i.e. site) of non-native invasive plant infestations within Arizona and New Mexico, and adjacent portions of California, Colorado, Nevada and Utah. These data, collected from 1911 to 2006, represent the field observations of various state, federal, tribal and county agencies, along with some specimen data from Herbaria. The SWEMP database comprises a compilation of data submitted through 2006. This dataset was created to provide a regional perspective on non-native invasive plant distributions. It can be used to assist land managers, as well as the public, to review the locations and extent of reported infestations. These data can ultimately help guide management strategies and policies for the control of non-native invasive plant species. All plant species in the database are non-native as defined by the USDA PLANTS database 2007; the extent to which they are invasive has not been determined. These data are associated with: Thomas, K.A., and P. Guertin. 2007, Southwest Exotic Mapping Program 2007; occurrence summary and maps of select invasive, non-native plants in Arizona: U.S. Geological Survey Open-File Report 2007-1277 [http://pubs.usgs.gov/of/2007/1277/].
DOI: 10.6084/m9.figshare.19768174.v1
title: Chemical Multiverse: An Updated view of the Chemical Space

description: Technological advances and practical applications of the chemical space concept in drug discovery, natural product research, and several other research areas are continuously attracting the scientific community´s attention. The current large- and ultra-large chemical spaces are associated not only with the significant increase in the number of compounds that can potentially be made and exist, but also in the increasing number of experimental and calculated descriptors that are emerging that encode the molecular structure and/or property aspects of the molecules. Due to the importance and continued evolution of compound libraries, herein we review definitions proposed in the literature for chemical space and we emphasize the approaches to generate a consensus view of the chemical space. We also introduce the concept of<em> chemical multiverse</em> as an alternative view of the chemical space.
DOI: 10.6084/m9.figshare.19768174.v2
title: Chemical Multiverse: An Expanded View of Chemical Space

description: Technological advances and practical applications of the chemical space concept in drug discovery, natural product research, and several other research areas are continuously attracting the scientific community´s attention. The current large- and ultra-large chemical spaces are associated not only with the significant increase in the number of compounds that can potentially be made and exist, but also in the increasing number of experimental and calculated descriptors that are emerging that encode the molecular structure and/or property aspects of the molecules. Due to the importance and continued evolution of compound libraries, herein we review definitions proposed in the literature for chemical space and we emphasize the approaches to generate a consensus view of the chemical space. We also introduce the concept of<em> chemical multiverse</em> as an alternative view of the chemical space.
DOI: 10.6084/m9.figshare.19768243
title: TrainingLoss

description: The error of training set and verification set in the training process.
DOI: 10.6084/m9.figshare.19768243.v1
title: TrainingLoss

description: The error of training set and verification set in the training process.
DOI: 10.5519/qd.bnb6l0pv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (787 records)
DOI: 10.6084/m9.figshare.19768237
title: TrainingLoss.log

description: The error of training set and verification set in the training process.
DOI: 10.6084/m9.figshare.19768237.v2
title: TrainingLoss.log

description: The error of training set and verification set in the training process.
DOI: 10.6084/m9.figshare.19768237.v1
title: TrainingLoss.log

description: The error of training set and verification set in the training process.
DOI: 10.21227/qcfw-k581
title: H-Activity

description: This database includes subject-specific daily living activity data obtained from smartphones' inbuilt accelerometer, gyroscope, and linear acceleration sensors.
DOI: 10.5281/zenodo.6549470
title: The role of surface shortwave flux correction in reducing climatological temperature biases

description: Coupled ocean-atmosphere climate models suffer from a number of climatological biases in sea surface temperature (SST) such as the cold tongue bias in the tropical Pacific, and warm biases along eastern subtropical ocean boundaries (e.g. Zheng et al. 2011; Erfani and Burls, 2019). Here, we investigate the possibility of reducing these biases within both low and high-resolution versions of a fully coupled climate model (CESM) by globally (and regionally) correcting the net shortwave (SW()*) flux at the surface towards values derived from Clouds and Earth's Radiant Energy Systems (CERES)-Energy Balanced And Filled (EBAF) climatological estimates
DOI: 10.5281/zenodo.6549469
title: The role of surface shortwave flux correction in reducing climatological temperature biases

description: Coupled ocean-atmosphere climate models suffer from a number of climatological biases in sea surface temperature (SST) such as the cold tongue bias in the tropical Pacific, and warm biases along eastern subtropical ocean boundaries (e.g. Zheng et al. 2011; Erfani and Burls, 2019). Here, we investigate the possibility of reducing these biases within both low and high-resolution versions of a fully coupled climate model (CESM) by globally (and regionally) correcting the net shortwave (SW()*) flux at the surface towards values derived from Clouds and Earth's Radiant Energy Systems (CERES)-Energy Balanced And Filled (EBAF) climatological estimates
DOI: 10.5519/qd.jvyfi0hb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.6084/m9.figshare.19768258
title: Communication

description: Transaction per second experimental results of the communication process.
DOI: 10.6084/m9.figshare.19768258.v2
title: Communication

description: Transaction per second experimental results of the communication process.
DOI: 10.6084/m9.figshare.19768258.v1
title: Untitled Item

description: Transaction per second experimental results of the communication process.
DOI: 10.34740/kaggle/dsv/3638516
title: Russian Invasion of Ukraine
DOI: 10.5281/zenodo.6549689
title: the data of "High-pressure behavior of synthetic quenchable hydroxylbastnasite-(Sm): Implications for rare earth elements, carbon, and water transmission into the deep earth"

description: This is the package of the Raman data of synthesized Sm(CO<sub>3</sub>)OH at high-pressure and ambient temperature and synchrotron radiation X-Ray data of synthesized Sm(CO<sub>3</sub>)OH at high-pressure and ambient temperature, they are in *.asc and *.chi respectively.
DOI: 10.5281/zenodo.6549688
title: the data of "High-pressure behavior of synthetic quenchable hydroxylbastnasite-(Sm): Implications for rare earth elements, carbon, and water transmission into the deep earth"

description: This is the package of the Raman data of synthesized Sm(CO<sub>3</sub>)OH at high-pressure and ambient temperature and synchrotron radiation X-Ray data of synthesized Sm(CO<sub>3</sub>)OH at high-pressure and ambient temperature, they are in *.asc and *.chi respectively.
DOI: 10.5517/ccdc.csd.cc24cvm0
title: CCDC 1977602: Experimental Crystal Structure Determination

description: Related Article: Long-Ling Huang, Peng-Peng Lin, Yu-Xin Li, Si-Xin Feng, Fang-Hai Tu, Shuang Yang, Gui-Yang Zhao, Zhi-Shu Huang, Honggen Wang, Qingjiang Li|2022|Org.Lett.|24|3389|doi:10.1021/acs.orglett.2c01150
DOI: 10.5517/ccdc.csd.cc28nk2l
title: CCDC 2105119: Experimental Crystal Structure Determination

description: Related Article: Zhexin Song, Binyin Yu, Jing Wei, Chunlong Li, Guokui Liu, Yangyang Dang|2022|Inorg.Chem.|61|6943|doi:10.1021/acs.inorgchem.2c00313
DOI: 10.5517/ccdc.csd.cc28nk3m
title: CCDC 2105120: Experimental Crystal Structure Determination

description: Related Article: Zhexin Song, Binyin Yu, Jing Wei, Chunlong Li, Guokui Liu, Yangyang Dang|2022|Inorg.Chem.|61|6943|doi:10.1021/acs.inorgchem.2c00313
DOI: 10.5517/ccdc.csd.cc28w2y6
title: CCDC 2111408: Experimental Crystal Structure Determination

description: Related Article: José María Muñoz-Molina, Daniel Bafaluy, Ignacio Funes-Ardoiz, Adiran de Aguirre, Feliu Maseras, Tomás R. Belderrain, Pedro J. Pérez, Kilian Muñiz|2022|Organometallics|41|1099|doi:10.1021/acs.organomet.2c00095
DOI: 10.5517/ccdc.csd.cc29kjyc
title: CCDC 2132023: Experimental Crystal Structure Determination

description: Related Article: Ya Wu, Zhiwei Lin, Rongmiao Fang, Yingying Guo, Li Tu, Yikun Yan, Weiqiang Zhang, Huaming Sun, Ziwei Gao|2022|Organometallics|41|1067|doi:10.1021/acs.organomet.1c00711
DOI: 10.5517/ccdc.csd.cc29kjzd
title: CCDC 2132024: Experimental Crystal Structure Determination

description: Related Article: Ya Wu, Zhiwei Lin, Rongmiao Fang, Yingying Guo, Li Tu, Yikun Yan, Weiqiang Zhang, Huaming Sun, Ziwei Gao|2022|Organometallics|41|1067|doi:10.1021/acs.organomet.1c00711
DOI: 10.5517/ccdc.csd.cc29lj9r
title: CCDC 2132964: Experimental Crystal Structure Determination

description: Related Article: Jie Wang, Haiyan Cui, Huapeng Ruan, Yu Zhao, Yue Zhao, Li Zhang, Xinping Wang|2022|J.Am.Chem.Soc.|144|7978|doi:10.1021/jacs.2c02902
DOI: 10.5517/ccdc.csd.cc29w4cq
title: CCDC 2141243: Experimental Crystal Structure Determination

description: Related Article: Toshiaki Wayama, Yuta Arai, Hiroki Oguri|2022|J.Org.Chem.|87|5938|doi:10.1021/acs.joc.2c00212
DOI: 10.5517/ccdc.csd.cc29wb5q
title: CCDC 2141423: Experimental Crystal Structure Determination

description: Related Article: Toshiaki Wayama, Yuta Arai, Hiroki Oguri|2022|J.Org.Chem.|87|5938|doi:10.1021/acs.joc.2c00212
DOI: 10.5517/ccdc.csd.cc2b6vjy
title: CCDC 2151540: Experimental Crystal Structure Determination

description: Related Article: Ekaterina E. Galenko, Aleksandra M. Puzyk, Mikhail S. Novikov, Alexander F. Khlebnikov|2022|J.Org.Chem.|87|6459|doi:10.1021/acs.joc.2c00386
DOI: 10.5517/ccdc.csd.cc2b6xdw
title: CCDC 2151598: Experimental Crystal Structure Determination

description: Related Article: Ekaterina E. Galenko, Aleksandra M. Puzyk, Mikhail S. Novikov, Alexander F. Khlebnikov|2022|J.Org.Chem.|87|6459|doi:10.1021/acs.joc.2c00386
DOI: 10.5517/ccdc.csd.cc2bbpt6
title: CCDC 2155238: Experimental Crystal Structure Determination

description: Related Article: Jie Wang, Haiyan Cui, Huapeng Ruan, Yu Zhao, Yue Zhao, Li Zhang, Xinping Wang|2022|J.Am.Chem.Soc.|144|7978|doi:10.1021/jacs.2c02902
DOI: 10.5517/ccdc.csd.cc2bbpv7
title: CCDC 2155239: Experimental Crystal Structure Determination

description: Related Article: Jie Wang, Haiyan Cui, Huapeng Ruan, Yu Zhao, Yue Zhao, Li Zhang, Xinping Wang|2022|J.Am.Chem.Soc.|144|7978|doi:10.1021/jacs.2c02902
DOI: 10.5517/ccdc.csd.cc29lj7p
title: CCDC 2132962: Experimental Crystal Structure Determination

description: Related Article: Jie Wang, Haiyan Cui, Huapeng Ruan, Yu Zhao, Yue Zhao, Li Zhang, Xinping Wang|2022|J.Am.Chem.Soc.|144|7978|doi:10.1021/jacs.2c02902
DOI: 10.6084/m9.figshare.17427443
title: Data and supplementary materials from: Nuclear Progestin Receptor Mediated Linkage of Blood Coagulation and Ovulation

description: Data and supplementary materials for “Nuclear progestin receptor mediated linkage of blood coagulation and ovulation.”<br>
DOI: 10.6084/m9.figshare.17427443.v6
title: Data and supplementary materials from: Nuclear Progestin Receptor Mediated Linkage of Blood Coagulation and Ovulation

description: Data and supplementary materials for “Nuclear progestin receptor mediated linkage of blood coagulation and ovulation.”<br>
DOI: 10.6084/m9.figshare.17427443.v5
title: Data and supplementary materials from: Nuclear Progestin Receptor Mediated Linkage of Blood Coagulation and Ovulation

description: Data and supplementary materials for “Nuclear progestin receptor mediated linkage of blood coagulation and ovulation.”<br>
DOI: 10.5517/ccdc.csd.cc28nk4n
title: CCDC 2105121: Experimental Crystal Structure Determination

description: Related Article: Zhexin Song, Binyin Yu, Jing Wei, Chunlong Li, Guokui Liu, Yangyang Dang|2022|Inorg.Chem.|61|6943|doi:10.1021/acs.inorgchem.2c00313
DOI: 10.6084/m9.figshare.19768294
title: Postmenopausal women & BMD

description: The date presented as excel file contain the row data of <strong>Postmenopausal </strong>sudanese women with normal T-Score, osteopenia and osteoporosis. Biochemical parameters.
DOI: 10.6084/m9.figshare.19768294.v1
title: Postmenopausal women & BMD

description: The date presented as excel file contain the row data of <strong>Postmenopausal </strong>sudanese women with normal T-Score, osteopenia and osteoporosis. Biochemical parameters.
DOI: 10.5281/zenodo.6549466
title: Developing and bounding ice particle mass-and area-dimension expressions for use in atmospheric models and remote sensing

description: Ice particle mass- and projected area-dimension (<em>m</em>-<em>D</em> and <em>A</em>-<em>D</em>) power laws are commonly used in the treatment of ice cloud microphysical and optical properties and the remote sensing of ice cloud properties. Although there has long been evidence that a single <em>m</em>-<em>D</em> or <em>A</em>-<em>D</em> power law is often not valid over all ice particle sizes, few studies have addressed this fact. This study develops self-consistent <em>m</em>-<em>D</em> and <em>A</em>-<em>D</em> expressions that are not power laws but can easily be reduced to power laws for the ice particle size (maximum dimension or <em>D</em>) range of interest, and they are valid over a much larger <em>D</em> range than power laws. This was done by combining ground measurements of individual ice particle <em>m</em> and <em>D</em> formed at temperature <em>T</em> &lt; −20 °C during a cloud seeding field campaign with 2-D stereo (2D-S) and cloud particle imager (CPI) probe measurements of <em>D</em> and <em>A</em>, and estimates of <em>m</em>, in synoptic and anvil ice clouds at similar temperatures. The resulting <em>m</em>-<em>D</em> and <em>A</em>-<em>D</em> expressions are functions of temperature and cloud type (synoptic vs. anvil), and are in good agreement with <em>m</em>-<em>D</em> power laws developed from recent field studies considering the same temperature range (−60 °C &lt; <em>T</em> &lt; −20 °C).
DOI: 10.5281/zenodo.6549465
title: Developing and bounding ice particle mass-and area-dimension expressions for use in atmospheric models and remote sensing

description: Ice particle mass- and projected area-dimension (<em>m</em>-<em>D</em> and <em>A</em>-<em>D</em>) power laws are commonly used in the treatment of ice cloud microphysical and optical properties and the remote sensing of ice cloud properties. Although there has long been evidence that a single <em>m</em>-<em>D</em> or <em>A</em>-<em>D</em> power law is often not valid over all ice particle sizes, few studies have addressed this fact. This study develops self-consistent <em>m</em>-<em>D</em> and <em>A</em>-<em>D</em> expressions that are not power laws but can easily be reduced to power laws for the ice particle size (maximum dimension or <em>D</em>) range of interest, and they are valid over a much larger <em>D</em> range than power laws. This was done by combining ground measurements of individual ice particle <em>m</em> and <em>D</em> formed at temperature <em>T</em> &lt; −20 °C during a cloud seeding field campaign with 2-D stereo (2D-S) and cloud particle imager (CPI) probe measurements of <em>D</em> and <em>A</em>, and estimates of <em>m</em>, in synoptic and anvil ice clouds at similar temperatures. The resulting <em>m</em>-<em>D</em> and <em>A</em>-<em>D</em> expressions are functions of temperature and cloud type (synoptic vs. anvil), and are in good agreement with <em>m</em>-<em>D</em> power laws developed from recent field studies considering the same temperature range (−60 °C &lt; <em>T</em> &lt; −20 °C).
DOI: 10.34740/kaggle/dsv/3638851
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5519/qd.v6yjd5e9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.6084/m9.figshare.18551483.v1
title: breast cancer model

description: This is an AdaBoost model trained on the train data.<br>Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image.<br>n the 3-dimensional space is that described in: [K. P. Bennett and O. L. Mangasarian: "Robust Linear Programming Discrimination of Two Linearly Inseparable Sets", Optimization Methods and Software 1, 1992, 23-34].This database is also available through the UW CS ftp server:<br>ftp ftp.cs.wisc.edu<br>cd math-prog/cpo-dataset/machine-learn/WDBC/Also can be found on UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
DOI: 10.6084/m9.figshare.17931989.v1
title: iris_model.joblib

description: iris
DOI: 10.6084/m9.figshare.17879585.v2
title: phishing_rf_model

description: The phishing url dataset contains synthetic data of urls - some regular and some used for phishing. This is a scikit-learn pipeline wrapping a random forest model trained on the training dataset.<br>The dataset is based on the project (https://github.com/Rohith-2/url_classification_dl) byRohith Ramakrishnan (https://www.linkedin.com/in/rohith-ramakrishnan-54094a1a0/) and others, accompanied bya blog post (https://medium.com/nerd-for-tech/url-feature-engineering-and-classification-66c0512fb34d&gt;).<br>The dataset is released under Creative Commons Zero v1.0 Universal (CC0 1.0).
DOI: 10.5519/qd.2g19j5mw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9 records)
DOI: 10.25919/wcfn-3080
title: Parkes observations for project P574 semester 2022APRS_02

description: We request time to observe 260 pulsars on a regular basis in order to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The main science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to investigate: neutron stars and pulsar emission via detecting glitches and determining pulse timing parameters; and the ISM via measuring and monitoring dispersion measures, Faraday rotation measures, and scintillation. To date, we are (co-)authors on over 95 papers arising from the collaboration and P574 data, including four which use UWL observations. The data have contributed to the PhD theses of students from Bordeaux, Manchester, Oxford, Stanford, and Swinburne.
DOI: 10.25919/zmt1-8s32
title: Parkes observations for project P885 semester 2022APRS_03

description: We request a continued reduced monitoring cadence for the magnetars 1E 1547.0-5408 and Swift J1818.0-1607 at once every 10 days, to track their rotation, flux density, and polarisation. Swift J1818.0-1607 remains very dynamic, and the unique UWL capabilities promise new opportunities to probe still mysterious radio emission mechanisms in magnetars. Our timing results indicate that 1E 1547.0-5408 is currently a more stable rotator, supporting the diminished cadence. We will observe XTE J1810-197 and PSR J1622-4950 less frequently, to complement monitoring elsewhere. The overall request is 18 hours.
DOI: 10.34740/kaggle/dsv/3639056
title: Dutch News Articles
DOI: 10.6084/m9.figshare.17696876.v1
title: avocado_rf.model

description: Avocado ML Model
DOI: 10.6084/m9.figshare.19426253.v2
title: adult model

description: Adult model
DOI: 10.5281/zenodo.6550444
title: Revealing the Sustainability of Novel Food System Technologies: A systematic scoping review

description: This repository contains the R- script and data files used to generate visualizations for a systematic scoping review on the sustainability of novel food system technologies.
DOI: 10.5281/zenodo.6550443
title: Revealing the Sustainability of Novel Food System Technologies: A systematic scoping review

description: This repository contains the R- script and data files used to generate visualizations for a systematic scoping review on the sustainability of novel food system technologies.
DOI: 10.3886/e170461
title: "Import competition and the gender employment gap in China" published in the Journal of Human Resources

description: Combining data from China’s population and firm censuses between 1990 and 2005, this paper relates prefecture-level employment by gender to the regionalized measure of exposure to tariff reductions. We find that increasing import competition kept more females in the workforce, reducing an otherwise growing gender employment gap in the long run. These dynamics were present both in local economies as a whole and among private firms in the formal industrial sector. The gendered employment effects of trade-induced competitive pressures were attributed to an expansion of female-intensive industries, a reduction in gender discrimination, and technology upgrades through computerization.
DOI: 10.6084/m9.figshare.19426253.v3
title: adult model

description: Adult model
DOI: 10.5281/zenodo.6549871
title: Dataset for abo0823

description: Dataset for abo0823.
DOI: 10.5281/zenodo.6549870
title: Dataset for abo0823

description: Dataset for abo0823.