cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8118071
title: Dr. Duke's Phytochemicals and Ethnobotanical Chem. Means

description: <strong>Abstract:</strong> These Phytochemical and Ethnobotanical databases offer convenient search functionalities for plants, chemicals, bioactivity, and ethnobotany. They cover a wide range of plants and their chemical profiles, allowing users to browse and search in various user-oriented ways. This is a resource that caters to pharmaceutical, biomedical, and nutritional researchers, looking to improve the treatment of diseases in a natural way. The data originates from extensive compilations by a former Chief of USDA's Economic Botany Laboratory, specifically their Handbook of phytochemical constituents of GRAS herbs and other economic plants. Users can download a PDF or spreadsheet format containing chemical lists and their known activities. <strong>Instruction: </strong> Data was cleaned and duplicates were removed. <strong>Inspiration:</strong> The dataset was uploaded to UBRITE for "DGR_DEPOT” summer 2023 team project. <strong>Acknowledgements:</strong> Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual. https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-... ] <strong>U-BRITE Last Updated July 5, 2023</strong>
description: U-BRITE location: /data/project/ubrite/drg-depot/Phytochem/
description: {"references": ["Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual.\u00a0https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-...\u00a0]"]}
DOI: 10.5281/zenodo.8118072
title: Dr. Duke's Phytochemicals and Ethnobotanical Chem. Means

description: <strong>Abstract:</strong> These Phytochemical and Ethnobotanical databases offer convenient search functionalities for plants, chemicals, bioactivity, and ethnobotany. They cover a wide range of plants and their chemical profiles, allowing users to browse and search in various user-oriented ways. This is a resource that caters to pharmaceutical, biomedical, and nutritional researchers, looking to improve the treatment of diseases in a natural way. The data originates from extensive compilations by a former Chief of USDA's Economic Botany Laboratory, specifically their Handbook of phytochemical constituents of GRAS herbs and other economic plants. Users can download a PDF or spreadsheet format containing chemical lists and their known activities. <strong>Instruction: </strong> Data was cleaned and duplicates were removed. <strong>Inspiration:</strong> The dataset was uploaded to UBRITE for "DGR_DEPOT” summer 2023 team project. <strong>Acknowledgements:</strong> Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual. https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-... ] <strong>U-BRITE Last Updated July 5, 2023</strong>
description: U-BRITE location: /data/project/ubrite/drg-depot/Phytochem/
description: {"references": ["Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual.\u00a0https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-...\u00a0]"]}
DOI: 10.6084/m9.figshare.23631891
title: AMIE driven simulation time series

description: Figure with underlying data for AMIE, used in figure 1 and 3
DOI: 10.6084/m9.figshare.23631891.v1
title: AMIE driven simulation time series

description: Figure with underlying data for AMIE, used in figure 1 and 3
DOI: 10.5281/zenodo.8118175
title: WiscoDISCO2020_dataset

description: Data from all June 2020 UAS flights at Chiwaukee Prairie State Natural Area. Ozone, relative humidity, temperature and pressure data with altitudes. If no standard deviation of altitudes are given, the altitudes were estimated from field notes. If standard deviations of altitudes given, GPS data is from the iMET-XQ sensor. All flights assumed to be at or near -87.8097 longitude 42.50272 latitude.
DOI: 10.5281/zenodo.8118176
title: WiscoDISCO2020_dataset

description: Data from all June 2020 UAS flights at Chiwaukee Prairie State Natural Area. Ozone, relative humidity, temperature and pressure data with altitudes. If no standard deviation of altitudes are given, the altitudes were estimated from field notes. If standard deviations of altitudes given, GPS data is from the iMET-XQ sensor. All flights assumed to be at or near -87.8097 longitude 42.50272 latitude.
DOI: 10.5281/zenodo.8118185
title: Dr. Duke's Phytochemicals and Ethnobotanical Common Names

description: <strong>Abstract:</strong> These Phytochemical and Ethnobotanical databases offer convenient search functionalities for plants, chemicals, bioactivity, and ethnobotany. They cover a wide range of plants and their chemical profiles, allowing users to browse and search in various user-oriented ways. This is a resource that caters to pharmaceutical, biomedical, and nutritional researchers, looking to improve the treatment of diseases in a natural way. The data originates from extensive compilations by a former Chief of USDA's Economic Botany Laboratory, specifically their Handbook of phytochemical constituents of GRAS herbs and other economic plants. Users can download a PDF or spreadsheet format containing chemical lists and their known activities. <strong>Instruction: </strong> Data was cleaned and duplicates were removed. <strong>Inspiration:</strong> The dataset was uploaded to UBRITE for "DGR_DEPOT” summer 2023 team project. <strong>Acknowledgements:</strong> Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual. https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-... ] <strong>U-BRITE Last Updated July 5, 2023</strong>
description: U-BRITE location: /data/project/ubrite/drg-depot/Phytochem/
description: {"references": ["Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual. https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-... ]"]}
DOI: 10.5281/zenodo.8118186
title: Dr. Duke's Phytochemicals and Ethnobotanical Common Names

description: <strong>Abstract:</strong> These Phytochemical and Ethnobotanical databases offer convenient search functionalities for plants, chemicals, bioactivity, and ethnobotany. They cover a wide range of plants and their chemical profiles, allowing users to browse and search in various user-oriented ways. This is a resource that caters to pharmaceutical, biomedical, and nutritional researchers, looking to improve the treatment of diseases in a natural way. The data originates from extensive compilations by a former Chief of USDA's Economic Botany Laboratory, specifically their Handbook of phytochemical constituents of GRAS herbs and other economic plants. Users can download a PDF or spreadsheet format containing chemical lists and their known activities. <strong>Instruction: </strong> Data was cleaned and duplicates were removed. <strong>Inspiration:</strong> The dataset was uploaded to UBRITE for "DGR_DEPOT” summer 2023 team project. <strong>Acknowledgements:</strong> Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual. https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-... ] <strong>U-BRITE Last Updated July 5, 2023</strong>
description: U-BRITE location: /data/project/ubrite/drg-depot/Phytochem/
description: {"references": ["Duke, J. A. (1992). Database of Biologically Active Phytochemicals and Their Activity. Boca Raton, Fla: CRC Press. ISBN 9780849336713. 183 pp. [Available on diskette with manual. https://www.crcpress.com/Database-of-Biologically-Active-Phytochemicals-... ]"]}
DOI: 10.15482/usda.adc/1529169
title: Data from: Characterization of particle size distributions and water-soluble ions in particulate matter measured at a broiler farm

description: This is USDA-ARS data from the publication, "Characterization of particle size distributions and water-soluble ions in particulate matter measured at a broiler farm." This study was conducted in June of 2018. Data included here are from several measurements:

Gas-phase ammonia measurements measured by an electrochemical sensor (Cairpol) in part-per-billion (ppb) with 1 minute time interval.
Particle number concentration inside and outside the house measured by two optical particle counters (MetOne) in number per cubic centimeter (mg/cc) with 20 second interval. Particles were measured from 0.5-10 micrometers in 8 size bins.
Particle number concentration measured by a scanning mobility particle sizer (TSI) and given as the differential number per size bin over 80 bins from 10-500 nanometers with a 5 minute time interval.
Water-soluble ions in particulate matter measured by an ambient ion monitor (URG) measured in microgram per cubic meter with a 1 hour time interval.

Resources in this dataset:


Resource Title: Ammonia Sensor Measurements
File Name: SensorNH3.txt


Resource Title: Optical Particle Counter 1
File Name: OpticalParticleCounter1.txt


Resource Title: Optical Particle Counter 2
File Name: OpticalParticleCounter2.txt


Resource Title: Scanning Mobility Particle Sizer Data (Matrix)
File Name: SMPS Data.txt


Resource Title: Scanning Mobility Particle Sizer Axes
File Name: SMPS Axes.txt


Resource Title: AIM Particulate Chemical Composition
File Name: AIM Composition.txt
DOI: 10.5281/zenodo.4453875
title: The Gulf of Mexico Eddy Dataset (GOMED), a census of statistically significant eddy-like events from all available surface drifter data

description: This dataset uses trajectory data from a large set of drifters to extract and analyze displacement signals associated with coherent eddies in the Gulf of Mexico, using a multivariate wavelet ridge analysis as presented in Lilly and Pérez-Brunius (2021). The data includes eddy displacement signals for all ridges, as well as the time-varying ellipse parameters and estimated ellipse center location. The instantaneous frequency is also included, as is the instantaneous bias estimate derived by Lilly and Olhede (2012). The data are organized as appended trajectory data that can be readily separated through the use of the "ids" field. The ridge length (\(L\)),and ridge-averaged circularity (\(\overline{\xi}\)) are also included, as is measure of statistical significance denoted by (\(\rho\)). The dataset is available for download as a NetCDF file. Lilly, J. M. and P. Pérez-Brunius (2021). Extracting statistically significant eddy signals from large Lagrangian datasets using wavelet ridge analysis, with application to the Gulf of Mexico. <em>Nonlinear Processes in Geophysics</em>, 28: 181–212. https://doi.org/10.5194/npg-28-181-2021. Lilly, J. M. and Olhede, S. C.: Analysis of modulated multivariate oscillations, IEEE T. Signal Proces., 60, 600–612, 2012. 10.1109/TSP.2011.2173681
description: The GOMED database is a product of the Gulf of Mexico Research Consortium (CIGoM) and was partially funded by the CONACYT-SENER-Hydrocarbons Sector Fund, Mexico, project 201441.See database webpage with additional information (https://giola.cicese.mx/database/GOMED)
description: {"references": ["Lilly, J. M. and Olhede, S. C.: Higher-order properties of analytic wavelets, IEEE T. Signal Proces., 57, 146\u2013160,\u00a0https://doi.org/10.1109/TSP.2008.2007607, 2009.", "Lilly, J. M. and Olhede, S. C.: Analysis of modulated multivariate oscillations, IEEE T. Signal Proces., 60, 600\u2013612, 2012."]}
DOI: 10.5281/zenodo.8118198
title: Presence of perennial halophilous scrubs in 2016 in the former saltworks of Salins de Giraud, random forest classification on WV2

description: The presence of perennial halophilous scrubs (<em>S. fruticosa</em> and <em>A. macrostachyum</em>) was mapped using a Worldview 2 (WV2) very-high resolution imagery acquired the 31st of August 2016, strictly cloudless. Multispectral indices, among the most used, were adapted to the bands of WV2. The Random Forest model (RF) package into the R software was used to perform image classification. RF OBB and omission errors for the class “presence” and the class “absence” were less important when the classification was done for each species individually, hence this raster is a combination of both classifications. The OBB error for <em>S.fruticosa</em> is 1.43% and for <em>A. macrostachyum</em> is 2.18%.
DOI: 10.5281/zenodo.8118197
title: Presence of perennial halophilous scrubs in 2016 in the former saltworks of Salins de Giraud, random forest classification on WV2

description: The presence of perennial halophilous scrubs (<em>S. fruticosa</em> and <em>A. macrostachyum</em>) was mapped using a Worldview 2 (WV2) very-high resolution imagery acquired the 31st of August 2016, strictly cloudless. Multispectral indices, among the most used, were adapted to the bands of WV2. The Random Forest model (RF) package into the R software was used to perform image classification. RF OBB and omission errors for the class “presence” and the class “absence” were less important when the classification was done for each species individually, hence this raster is a combination of both classifications. The OBB error for <em>S.fruticosa</em> is 1.43% and for <em>A. macrostachyum</em> is 2.18%.
DOI: 10.5066/p9pqhp9p
title: Kinnickinnic River Geochemistry and Rapid Geomorphic Assessments, Waukesha County, Wisconsin

description: From September 2019 to October 2020 a stream sediment budget and sediment fingerprinting integrated study was conducted to quantify upland and stream corridor sources of suspended sediment and sediment-bound phosphorus using the Sediment Source Assessment Tool (SedSAT) methods with a suite of trace elements. Upland source samples were collected at 45 randomly selected sites in the watershed. Passive suspended-sediment samplers were installed at three sites and sampled monthly. Soft, fine-grained streambed sediment was collected if present at 18 rapid geomorphic assessment (RGA) sites. An inventory of bank erosion and soft-sediment deposition was also done at each of the 18 RGA sites, which were selected to represent a range of stream sizes and geomorphic conditions. This data release includes field-collected data from RGAs, trace elements laboratory results, and sediment budget calculations for the Kinnickinnic River basin, Waukesha County, Wisconsin.
DOI: 10.6084/m9.figshare.23631915
title: Juliano Goughnour Ower frontiers code area.sas

description: SAS code including data set
DOI: 10.6084/m9.figshare.23631915.v1
title: Juliano Goughnour Ower frontiers code area.sas

description: SAS code including data set
DOI: 10.6084/m9.figshare.23631906
title: Juliano Goughnour Ower frontiers code volume.sas

description: SAS code with data set
DOI: 10.6084/m9.figshare.23631906.v1
title: Juliano Goughnour Ower frontiers code volume.sas

description: SAS code with data set
DOI: 10.6084/m9.figshare.23631903
title: Juliano Goughnour Ower Frontiers TEST FOR SHAPE VOLUME.docx

description: SAS code, with data set, and output
DOI: 10.6084/m9.figshare.23631903.v1
title: Juliano Goughnour Ower Frontiers TEST FOR SHAPE VOLUME.docx

description: SAS code, with data set, and output
DOI: 10.6084/m9.figshare.23631900
title: Juliano Goughnour Ower Frontiers TEST FOR SHAPE AREA.docx

description: SAS code with data set, along wtih output
DOI: 10.6084/m9.figshare.23631900.v1
title: Juliano Goughnour Ower Frontiers TEST FOR SHAPE AREA.docx

description: SAS code with data set, along wtih output
DOI: 10.6084/m9.figshare.23631897
title: Juliano Goughnour Ower Frontiers FR data 2.xlsx

description: Excel data set for the experiments, plus graphis, plus AIC calculations.
DOI: 10.6084/m9.figshare.23631897.v1
title: Juliano Goughnour Ower Frontiers FR data 2.xlsx

description: Excel data set for the experiments, plus graphis, plus AIC calculations.
DOI: 10.5519/qd.s10e583f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (294 records)
DOI: 10.5281/zenodo.4118565
title: Trajectories of acoustically tracked subsurface floats in the western Gulf of Mexico from the Deep Water Dispersion Experiment

description: This dataset is comprised of the final processed data collected by 83 RAFOS floats deployed in the western Gulf of Mexico during the Deep Water Dispersion Experiment (DWDE), as part of the project “Implementación de redes de observación oceanográficas (físicas geoquímicas, ecológicas) para la generación de escenarios ante posibles contingencias relacionadas a la exploración y producción de hidrocarburos en aguas profundas del Golfo de México” of the Gulf de Mexico Research Consortium (CIGoM), funded by CONACYT‐SENER‐Hydrocarbon Fund, Mexico”. In this experiment, surface drifters were deployed in the same location as the RAFOS floats. The drifter database can be accessed here: https://doi.org/10.5281/zenodo.3979964. Ramsey, Andree L., Furey, Heather H., Bower, Amy S., Pérez-Brunius, Paula, García-Carrillo, Paula, "The Deep Water Dispersion Experiment: RAFOS float data report June 2016 - January 2019", 2019-12. Technical report. Woods Hole Oceanographic Institution. DOI:10.1575/1912/25273, https://hdl.handle.net/1912/25273
description: The acquisition of the RAFOS float data from the DWDE experiment has been financed by the CONACYT-SENER-Hydrocarbons Sector Fund, Mexico (project 201441), developed by the Gulf of Mexico Research Consortium (CIGoM). We recognize PEMEX for promoting to the Fund the specific demand on oil spills and the environment. See database webpage with additional information (https://giola.cicese.mx/en/database/RAFOS/)
DOI: 10.5281/zenodo.4118564
title: Trajectories of acoustically tracked subsurface floats in the western Gulf of Mexico from the Deep Water Dispersion Experiment

description: This dataset is comprised of the final processed data collected by 83 RAFOS floats deployed in the western Gulf of Mexico during the Deep Water Dispersion Experiment (DWDE), as part of the project “Implementación de redes de observación oceanográficas (físicas geoquímicas, ecológicas) para la generación de escenarios ante posibles contingencias relacionadas a la exploración y producción de hidrocarburos en aguas profundas del Golfo de México” of the Gulf de Mexico Research Consortium (CIGoM), funded by CONACYT‐SENER‐Hydrocarbon Fund, Mexico”. In this experiment, surface drifters were deployed in the same location as the RAFOS floats. The drifter database can be accessed here: https://doi.org/10.5281/zenodo.3979964. Ramsey, Andree L., Furey, Heather H., Bower, Amy S., Pérez-Brunius, Paula, García-Carrillo, Paula, "The Deep Water Dispersion Experiment: RAFOS float data report June 2016 - January 2019", 2019-12. Technical report. Woods Hole Oceanographic Institution. DOI:10.1575/1912/25273, https://hdl.handle.net/1912/25273
description: The acquisition of the RAFOS float data from the DWDE experiment has been financed by the CONACYT-SENER-Hydrocarbons Sector Fund, Mexico (project 201441), developed by the Gulf of Mexico Research Consortium (CIGoM). We recognize PEMEX for promoting to the Fund the specific demand on oil spills and the environment. See database webpage with additional information (https://giola.cicese.mx/en/database/RAFOS/)
DOI: 10.5281/zenodo.5293936
title: DWDE drifters: Trajectories of surface drifters in the western Gulf of Mexico from the Deep-Water Dispersion Experiment

description: This dataset is comprised of the final processed data collected by 207 surface drifters deployed in the western Gulf of Mexico during the Deep Water Dispersion Experiment (DWDE), as part of the project “Implementación de redes de observación oceanográficas (físicas geoquímicas, ecológicas) para la generación de escenarios ante posibles contingencias relacionadas a la exploración y producción de hidrocarburos en aguas profundas del Golfo de México” of the Gulf de Mexico Research Consortium (CIGoM), funded by CONACYT‐SENER‐Hydrocarbon Fund, Mexico”. The DWDE drifter data is also made available with the GulfDriftersWithDWDE dataset (http://doi.org/10.5281/zenodo.3985916), which is a merged and uniformly processed surface drifter dataset which includes publicly available data from several different drifter experiments. These latter database is the basis for the gridded product GulfFlow (http://doi.org/10.5281/zenodo.3978793). See Lilly and Pérez-Brunius (2021) "A gridded surface current product for the Gulf of Mexico from consolidated drifter measurements" for details. García Carrillo, P., Ronquillo Méndez, A., Rodríguez Outerelo, J., Pérez Brunius, P. 2018. Experimento de Dispersión en Aguas Profundas ( DWDE ). Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California. 253 pp. Pérez-Brunius P., P. García Carrillo, A. Ronquillo Méndez, J. Rodríguez Outerelo, A. Sandoval Rangel, C. Liera Grijalva, X. Flores Vidal (2019). Trayectorias de Derivadores Superficiales en el Oeste del Golfo de México del Experimento de Dispersión en Aguas Profundas. Reg. INDAUTOR, México (03-2019- 120510255600-01, 13 December 2019).
description: The acquisition of the surface drifter data from the DWDE experiment has been financed by the CONACYT-SENER-Hydrocarbons Sector Fund, Mexico (project 201441), developed by the Gulf of Mexico Research Consortium (CIGoM). We recognize PEMEX for promoting to the Fund the specific demand on oil spills and the environment. See database webpage with additional information (https://giola.cicese.mx/database/DWDE)
description: {"references": ["Garc\u00eda Carrillo, P., Ronquillo M\u00e9ndez, A., Rodr\u00edguez Outerelo, J., P\u00e9rez Brunius, P. 2018. Experimento de Dispersi\u00f3n en Aguas Profundas ( DWDE ). Centro de Investigaci\u00f3n Cient\u00edfica y de Educaci\u00f3n Superior de Ensenada, Baja California. 253 pp."]}