cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/d36baf5e9fa98559ced5901f4f6c38c5
title: Water Quality Data (Grab Samples) from the Taylor Slough, Everglades National Park (FCE), from May 2001 to Present

description: Water quality samples are being collected using ISCO autosamplers at all wetland sites (that is, all sites except TS/Ph-9, 10, and 11). The autosamplers contain 24 1L bottles. Water is sampled by programming the autosamplers to take composite samples once every 3 days. These samples are a composite of four 250mL subsamples drawn every 18 hours (a sampling scheme that captures a dawn, noon, dusk, and midnight sample in every three day composite). The samples are collected every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. When sites are visited to collect these samples, we also collect a grab sample that is immediately put on ice. A portion of these grab samples is filtered through a Whatman GF/F filter immediately upon return to the lab, and the filtered samples are analyzed for inorganic nutrients such as NO2-, NO3-, NH4+, SRP, and DOC. The unfiltered fraction of these grab samples is analyzed for TP, TN, and TOC. We use these montly grab samples to generate relationships between TP and SRP, and between TN and NO2- + NO3- + NH4+. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques. TP is analyzed with a modified Solorzano and Sharp (1980) technique. TN is measured with an Antec TN analyzer, TOC and DOC are quantified on a Shimadzu TOC Analyzer, and salinity is measured with a YSI conductivity meter. In addition to the regular water quality monitoring, we use the rain level actuators at all freshwater sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when the threshold of = 2.5 cm of rain per hour is passed, the autosampler at that site collects a 500mL sample 30 minutes after the threshold has been reached. Rain event samples are collected, treated, and analyzed as all other water quality samples.
DOI: 10.7910/dvn/zbrtjh/63ql3p
title: TableA1-CEW-All-Reviews-UR-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/ausinj
title: Table2Sim3k.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/h1o8nc
title: Table4-CEW-GECM.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/hpyhqs
title: Table1-PresSuccess-Unit-Root-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/k4mrop
title: Table2Sim5k.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/k9vunj
title: Table2Sim3kLoadModules.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/ukb6ej
title: TableA3-CEW-S-Reviews-UR-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/yvxg4f
title: Table2Sim4k.R

description: :unav
DOI: 10.17632/h7dxp4mhmk.1
title: Data for: 3501279

description: In important prediction scenarios, data-sets are naturally imbalanced, for instance in cancer detection: a small minority of people may exhibit the disease. This poses a significant classification challenge to machine learning algorithms. Data imbalance can cause lower performance for the class of interest, e.g. classifying with high precision that the person has cancer. When training data is abundant, a possible approach is to down-sample the majority class, thus restoring balance. Another prevalent approach is weighting, accelerating learning for minority class training examples. Synthesis is a major alternative, producing examples of the minority class, adding them to the training set to overcome the class imbalance. The Synthetic Minority Over-sampling Technique, SMOTE is widely applied, but it was not developed for image data. Rather, this research applies Generative Adversarial Networks, which generate image examples drawn from the minority class distribution. The novel SMate approach leverages GAN minority-class image generators, which benefit from Transfer Learning from majority-class image generators. Consequently, SMate outperforms SMOTE for imbalanced image data-sets.
DOI: 10.25345/c5k096
title: MassIVE MSV000084701 - GNPS - C.acnes and S.aureus BHI coculture Pos_XAD
title: Monoculture and coculture of Cutibacterium acnes KPA171202 and Staphylococcus aureus JE2 on BHI liquid medium. Anaerobic culture conditions for 3-5 days. Cultures were centrifuged and supernatant removed. Extraction performed by addition of 100uL XAD16 slurry to the supernatant and incubation under shaking (2000 rpm, 4 h). XAD16 slurry removed and extracted with 100% MeOH. Extract was freeze-dried and resuspended for LC-MS/MS performed in an UltiMate 3000 UPLC system (Thermo Scientific) using a Kinetex 1.7 mm C18 reversed phase UHPLC column (50 X 2.1 mm) and Maxis Q-TOF mass spectrometer (Bruker Daltonics) equipped with ESI source.
DOI: 10.25919/5df82476b57dc
title: Parkes observations for project P1021 semester 2019OCTS_06

description: We propose to conduct observations of PSR J1653-45, a 951-ms pulsar in a long, 1.5-yr orbit. Binary pulsars are valuable objects of scientific study, allowing for a wide range of applications, including tests of gravity, probes of the neutron star equation of state, and fossil records of stellar evolution. Long spin-period pulsars in binary systems are generally much rarer than faster-spinning `recycled’ pulsars, and represent an under-explored region of pulsar binary evolution. In addition to its long orbital period, PSR J1653-45 also experiences extended eclipses, lasting up to half of the orbital period and whose nature is not well understood. These eclipses have also prevented the determination of an orbital of phase-connected timing solution, both vital steps in allowing for the continued study of this system. We propose a targeted, high-cadence observing campaign designed to monitor this pulsar as it transition into its eclipsing state. The campaign has the twin goals of both monitoring how the eclipse affects the pulsar’s emission properties, thereby revealed more about the nature of the eclipses themselves, and of extracting as much information regarding the pulsar’s orbit during its least-explored regions, thereby constrained and hopefully solving the pulsar’s orbit and ideally leading to the development of a timing solution. In both instances, we hope to gain a greater understanding of this pulsar’s properties and how it fits into this under-explored class of unrecycled pulsar binaries.
DOI: 10.5281/zenodo.3579197
title: Ethereum Transactions Data

description: These data have been used to analyze the data one popular oracle to predict the Gas price, along with the Ethereum transactions’ and blocks’ data.
DOI: 10.5281/zenodo.3579198
title: Ethereum Transactions Data

description: These data have been used to analyze the data one popular oracle to predict the Gas price, along with the Ethereum transactions’ and blocks’ data.
DOI: 10.7910/dvn/zbrtjh/1wbiw2
title: TableA2-CEW-NS-Reviews-UR-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/6bdc4x
title: TableA7-Opposition-Approval-UR-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/gzrim3
title: Table5-Labour-Vote-Intention-ADL.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/idsp5d
title: Table2Org.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/jtnikc
title: table2sim4kLoadModules.sh

description: :unav
DOI: 10.7910/dvn/zbrtjh/lyvgyx
title: Table3-CEW-Unit-Root-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/noa1gu
title: fig2LoadModules.sh

description: :unav
DOI: 10.7910/dvn/zbrtjh/rvxl0r
title: table2sim5kLoadModules.sh

description: :unav
DOI: 10.7910/dvn/zbrtjh/t9tlsn
title: Figure2LoadModules.R

description: :unav
DOI: 10.18112/openneuro.ds002363.v1.0.0
title: Differential Repetition Suppression Effects to Computer Warnings as Revealed with Functional MRI
DOI: 10.7910/dvn/zbrtjh/0s5r0v
title: table2sim4k.sh

description: :unav
DOI: 10.7910/dvn/zbrtjh/4nn65v
title: Table2Sim2kLoadModules.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/dkky2l
title: ReplicationCodebook.pdf

description: :unav
DOI: 10.7910/dvn/zbrtjh/fvzvn6
title: Figure4-Labour-Vote-Intention-App.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/g5u7mv
title: Figure2SimLoadModules.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/gk5kqy
title: fig2.sh

description: :unav
DOI: 10.7910/dvn/zbrtjh/vkmopo
title: table2sim1k.sh

description: :unav
DOI: 10.7910/dvn/zbrtjh/x0tyl4
title: Figure1-PresSuccess.R

description: :unav
DOI: 10.5519/qd.3o6amenc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.7910/dvn/4ckvnu/6f2auv
title: Output File.txt

description: :unav
DOI: 10.7910/dvn/4ckvnu/7srbgw
title: Newman et al_BJPolS_MTurk Data.tab

description: :unav
DOI: 10.7910/dvn/zbrtjh/5vyo5s
title: table2sim2kLoadModules.sh

description: :unav
DOI: 10.7910/dvn/zbrtjh/bclvgk
title: Table2Sim5kLoadModules.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/ceeyr6
title: TableA4-CEW-Mood-UR-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/frm9mq
title: table2sim1kLoadModules.sh

description: :unav
DOI: 10.7910/dvn/zbrtjh/hynfze
title: Table2Sim1k.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/mtqr0x
title: TableA6-Labour-Vote-Intention-UR-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/rlnjnh
title: TableA5-CEW-Segal-Cover-UR-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/rnpwjn
title: Figure2Sim.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/vsdpx1
title: Table2Sim2k.R

description: :unav
DOI: 10.7910/dvn/4ckvnu/jlf9qm
title: Newman et al_BJPolS_Do-File.do

description: :unav
DOI: 10.7910/dvn/zbrtjh/0zebvd
title: TableA8-PM-Approval-UR-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/7r30bk
title: Readme.txt

description: :unav
DOI: 10.7910/dvn/zbrtjh/mu8ze3
title: TableA9-Economic-Optimism-UR-Tests.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/plsmyc
title: table2sim5k.sh

description: :unav
DOI: 10.7910/dvn/zbrtjh/rulcdi
title: Figure2.R.7z

description: :unav
DOI: 10.7910/dvn/zbrtjh/xk9kcs
title: table2sim3k.sh

description: :unav
DOI: 10.7910/dvn/zbrtjh/ylvh8c
title: Table2Sim1kLoadModules.R

description: :unav
DOI: 10.7910/dvn/zbrtjh/z69wxl
title: table2sim3kLoadModules.sh

description: :unav
DOI: 10.3886/e116762v1
title: "Data and Code for: "Reported MPC and Unobserved Heterogeneity"

description: Data deposit
DOI: 10.26300/vmxr-rm64
title: Chapter One Supplementary Data 1
DOI: 10.3886/e116769
title: Bankrupt in America

description: This set of replication files generates tables and figures for Mary Eschelbach Hansen and Bradley A. Hansen, Bankrupt in America: A History of Debtors, Their Creditors, and the Law in the Twentieth Century (University of Chicago Press, 2020). ISBN: 9780226679563. <br><br><br><br><br>
description: The appendices to the chapters of Bankrupt in America (University of Chicago Press, 2020) serve as the complete user guide to the data and methods. <br><br><br><br><br>
description: There are two types of data: bankruptcy statistics and bankruptcy court case files. The universe for the bankruptcy statistics is US Federal District Courts. The universe for bankruptcy court case files is households filing for non-business bankruptcy in Missouri from 1898-1930 and in Maryland from 1945-2000.<br>
DOI: 10.3886/e116769v1
title: Bankrupt in America

description: This set of replication files generates tables and figures for Mary Eschelbach Hansen and Bradley A. Hansen, Bankrupt in America: A History of Debtors, Their Creditors, and the Law in the Twentieth Century (University of Chicago Press, 2020). ISBN: 9780226679563. <br><br><br><br><br>
description: The appendices to the chapters of Bankrupt in America (University of Chicago Press, 2020) serve as the complete user guide to the data and methods. <br><br><br><br><br>
description: There are two types of data: bankruptcy statistics and bankruptcy court case files. The universe for the bankruptcy statistics is US Federal District Courts. The universe for bankruptcy court case files is households filing for non-business bankruptcy in Missouri from 1898-1930 and in Maryland from 1945-2000.<br>
DOI: 10.21227/x1y6-5d92
title: SU-AIS BB-MAS (Syracuse University and Assured Information Security - Behavioral Biometrics Multi-device and multi-Activity data from Same users) Dataset

description: We provide a large benchmark dataset consisting of about: 3.5 million keystroke events; 57.1 million data-points for accelerometer and gyroscope each; and 1.7 million data-points for swipes. Data was collected between April 2017 and June 2017 after the required IRB approval. Data from 117 participants, in a session lasting between 2 to 2.5 hours each, performing multiple activities such as: typing (free and fixed text), gait (walking, upstairs and downstairs) and swiping activities while using desktop, phone and tablet is shared. The dataset reported here also contains extracted features which are explored in the literature. The file "Demographics.csv" provides demographics information such as: Age, Height, Handedness, Typing Style, Device usage hours per day and number of Languages spoken and typed for each participant.
DOI: 10.7488/ba7169c8-4f31-4980-9154-cf32e6c3d8f5
title: Tiempo de lluvia

description: Itandehui Jansen directs this drama film about the family fragmentation caused by the process of migration from an Indigenous community to Mexico City. This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh users. External users may request access to a copy of the data by contacting the Principal Investigator, Contact Person or Data Manager named on this page. University of Edinburgh users who wish to have direct access should consult the information about retrieving data from the DataVault at: http://www.ed.ac.uk/is/research-support/datavault.
description: Soledad, a traditional healer, lives with her grandson Jose in an Indigenous Village. Soledad's daughter, Adela, moved to Mexico City many years ago and now wants Jose to join her, but Soledad believes the boy is better off in the village.
DOI: 10.21227/ra87-6k85
title: SU-AIS BB-MAS (Syracuse University and Assured Information Security - Behavioral Biometrics Multi-device and multi-Activity data from Same users) Dataset

description: We provide a large benchmark dataset consisting of about: 3.5 million keystroke events; 57.1 million data-points for accelerometer and gyroscope each; and 1.7 million data-points for swipes. Data was collected between April 2017 and June 2017 after the required IRB approval. Data from 117 participants, in a session lasting between 2 to 2.5 hours each, performing multiple activities such as: typing (free and fixed text), gait (walking, upstairs and downstairs) and swiping activities while using desktop, phone and tablet is shared. The dataset reported here also contains extracted features which are explored in the literature. The file "Demographics.csv" provides demographics information such as: Age, Height, Handedness, Typing Style, Device usage hours per day and number of Languages spoken and typed for each participant.
DOI: 10.26300/enej-vt18
title: Supplementary Data from Aislinn Rowan-Nash Dissertation
DOI: 10.6073/pasta/0c1ab7c21e78037b5dddb42b22036784
title: Time-series of high-frequency profiles of fluorescence-based phytoplankton spectral groups in Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2014-2019

description: Depth profiles of fluorescence-based phytoplankton biomass were sampled using a bbe Moldaenke FluoroProbe from 2014 to 2019 in five drinking water reservoirs in southwestern Virginia, USA. These reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the Town of Pulaski, Virginia. The dataset consists of depth profiles of fluorescence-based phytoplankton biomass measured at the deepest site of each reservoir adjacent to the dam, except in Falling Creek Reservoir, where depth profiles were also taken at four upstream sites ranging from the riverine to the lacustrine zone. Casts were taken approximately weekly from May-October and monthly from November-April. Casts were collected at Beaverdam and Falling Creek Reservoirs during all years (2014-2019); casts were collected at Carvins Cove Reservoir during 2014-2016 and 2018-2019; casts were collected at Spring Hollow Reservoir during 2014-2016 and 2019; and casts were collected at Gatewood Reservoir in 2015-2016.
DOI: 10.5066/p9344tos
title: Pesticide Constituent Data from the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP), 2004 - 2018

description: The California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP) submitted 2,994 samples in 2004-2018 to the USGS National Water Quality Laboratory (NWQL) for analysis of pesticide constituents on NWQL schedules 2003, 2032, or 2033, and 840 samples in 2004-2011 for analysis of pesticide constituents on NWQL schedule 2060. Fram and Stork (2019) describe the GAMA-PBP data quality objectives for pesticide constituents and present a 5-step protocol for review and quality-control censoring of data from these NWQL schedules. This data release presents the original and final values for the 1,056 results censored by Fram and Stork (2019) and the entire final dataset for pesticide constituents on NWQL schedules 2003, 2032, 2033, or 2060 in GAMA-PBP samples collected in 2004-2018. Fram, M.S., and Stork, S.V., 2019, Determination of study reporting limits for pesticide constituent data for the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project, 2004-2018 - Part 1: National Water Quality Laboratory schedules 2003, 2032, or 2033, and 2060: U.S. Geological Survey Scientific Investigations Report 2019-5107, 129 p., https://doi.org/10.3133/sir20195107
DOI: 10.5281/zenodo.3572802
title: Supplementary Files for sgDesigner

description: Supplementary File 1: the data processing pipeline for sgDesigner Supplementary File 2: sgDesigner model exploration and validation
DOI: 10.5281/zenodo.3572803
title: Supplementary Files for sgDesigner

description: Supplementary File 1: the data processing pipeline for sgDesigner Supplementary File 2: sgDesigner model exploration and validation
DOI: 10.5519/qd.e4o0ewri
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4484669 records)
DOI: 10.5519/qd.yz0hpwe0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (89990 records)
DOI: 10.5281/zenodo.3560335
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by von Mering, Sabine, https://orcid.org/0000-0003-2982-7792. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.7910/dvn/fnwdax/2sdagx
title: 7. 2018 LAM COL CAU Introductory presentation Enumerators Training (Spanish).pdf

description: :unav
DOI: 10.7910/dvn/fnwdax/aypknu
title: 6b. CIAT Minimum Risk Rewiew IRB Approval Letter_ extension 2019.pdf

description: :unav
DOI: 10.7910/dvn/fnwdax/gsdbae
title: M4_LAM_COL_CAU_2018_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/fnwdax/vuzs9b
title: 6. CIAT Minimum Risk Review Application.doc

description: :unav
DOI: 10.7910/dvn/fnwdax/vyqzdi
title: M1_LAM_COL_CAU_2018_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/fnwdax/wu3j7j
title: M0_LAM_COL_CAU_2018_cleaned_anonymized.tab

description: :unav
DOI: 10.17632/gp7cb3xhy9.1
title: Data for: Metadynamic recrystallization behavior of β-solidified TiAl alloy during post-annealing after hot deformation
DOI: 10.5523/bris.2lp4ih2gs5o2w1yntjca3e3il7
title: Data from "Quantum speedup of branch-and-bound algorithms"

description: Source code and experimental results for the paper "Quantum speedup of branch-and-bound algorithms" by Ashley Montanaro.
DOI: 10.7910/dvn/fnwdax/9h01x0
title: 5. 2018_LAM COL CAU Comentarios sobre limpieza de datos.xls

description: :unav
DOI: 10.7910/dvn/fnwdax/fi1rsc
title: M5_LAM_COL_CAU_2018_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/fnwdax/k6k2e8
title: 3. 2018_LAM COL CAU Glosario practicas.pdf

description: :unav
DOI: 10.7910/dvn/fnwdax/urncmj
title: 1. 2018_LAM COL CAU Cuestionario Codificado.xls

description: :unav
DOI: 10.7910/dvn/fnwdax/wbjp7m
title: 4. 2018_LAM COL_CAU Consentimiento informado.doc

description: :unav
DOI: 10.7910/dvn/fnwdax/xabvtg
title: 2. 2018 LAM COL CAUCA_CCAFS_Arbol_de_Preguntas_Cuestionario.pdf

description: :unav
DOI: 10.7910/dvn/fnwdax/zyq4fr
title: M3_LAM_COL_CAU_2018_cleaned_anonymized.tab

description: :unav
DOI: 10.26186/5df80cebb636e
title: East Tennant Magnetotelluric Survey, Northern Territory, Australia

description: The East Tennant Magnetotelluric (MT) Survey is funded under Geoscience Australia’s (GA) Exploring for the Future program. The survey is aimed to assist in regional stratigraphic drilling program to understand basement architecture and mineral potential in the east of Tennant Creek, Northern Territory, Australia. The survey covers an area of approximate 90 km x 100 km. Geoscience Australia contracted Zonge Engineering and Research Organisation (Australia) to undertake the survey from 22nd July to 19th Aug 2019. Broadband Magnetotelluric and Audio Magnetotelluric data were acquired at 131 stations with site spacing of ~2 km to ~15 km. This data package includes MT data originally processed by the contractor and edited MT data by GA for modelling purpose. All the data were industry-standard EDI files. Time series data are available on request from clientservices@ga.gov.au
DOI: 10.7910/dvn/fnwdax/pepfwj
title: M2_LAM_COL_CAU_2018_cleaned_anonymized.tab

description: :unav
DOI: 10.5281/zenodo.3579534
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Grinter, Chris, https://orcid.org/0000-0002-3769-1664. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.17632/66pp22527f.1
title: Data for: Organic matter deposition and paleoenvironmental implications across the Cenomanian-Turonian boundary of the Subalpine Basin (SE France): local and global controls

description: Palynofacies data from Pont d'Issole section.
DOI: 10.15139/s3/ktp4wb
title: National Emission Inventory (NEI) 2016 modeling platform version 1

description: The National Emissions Inventory (NEI) Collaborative's 2016v1 Emissions Modeling Platform (EMP) is a product of the National Emissions Inventory Collaborative and includes a full suite of base year (2016) and projection year (2023 2028) inventories, ancillary emission data, and scripts and software for preparing the emissions for air quality modeling. Nonroad emissions and MOVES emission factors are provided for the year 2020, but data for other sectors are not available for that year. The National Emissions Inventory Collaborative is a collaboration between state and regional air agencies, EPA, and Federal Land Managers. File Location and Download Instructions: Link to NEI 2016v1 Emission Modeling Platform Data Download instructions