cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/ieda/306500
title: Uncalibrated Hydrographic Data acquired with a CTD from the East Pacific Rise at 9N acquired during the Atlantis expedition AT15-15 (2007)

description: This data set was acquired with a towed CTD on TowCam during Atlantis expedition AT15-15 conducted in 2007 (Chief Scientist: Dr. Timothy Shank; Investigator(s): Dr. Daniel Fornari). These data files are of Sea-Bird CTD format and include Temperature, Pressure, and Conductivity data that have not been processed. Data were acquired as part of the project(s): Collaborative Research: Integrated Studies of Biological Community Structure at Deep-Sea Hydrothermal Vents, IDEA: Coupling Communication Technology with in Situ Voltammetric Analyzers for Real Time and Unattended Monitoring of Biogeochemically Relevant Chemical Species, and Collaborative Research: MIP: Physiology and molecular ecology of thermophilic nitrate-reducing microorgansisms at deep-sea hydrothermal vents, and funding was provided by NSF grant(s): MCB04-56676, OCE03-08398, and OCE03-27353.
DOI: 10.1594/ieda/311400
title: Processed ship-based Navigation Data acquired during the Maurice Ewing expedition EW9002 (1990)

description: This data set was acquired with a ship-based Navigation system during Maurice Ewing expedition EW9002 conducted in 1990 (Chief Scientist: Dr. John Diebold). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection. Data were acquired while the Maurice Ewing was in transit, and funding was provided by NSF grant(s): OCE90-01169.
DOI: 10.1594/ieda/307256
title: Ship-based Trackline Geophysical Data (MGD77) from the Southern Pacific Ocean acquired during the Nathaniel B. Palmer expedition NBP0501B (2005)

description: This data set was acquired with a ship-based Gravimeter and Subbottom Profiler during Nathaniel B. Palmer expedition NBP0501B conducted in 2005 (Chief Scientist: Dr. Alisa Miller; Investigator(s): Dr. Steve Cande and Dr. Joann Stock). These data files are of MGD77 format and include Bathymetry, Gravity (Field and Free Air Anomaly) data that were processed during the cruise. Data were acquired as part of the project(s): Late Cretaceous and Cenozoic Reconstructions of the Southwest Pacific, and funding was provided by NSF grant(s): OPP01-26334, OPP01-26340, and ANT03-38317
DOI: 10.1594/ieda/312737
title: Processed ship-based Navigation Data acquired during the Surveyor expedition SU9201 (1992)

description: This data set was acquired with a ship-based Navigation system during Surveyor expedition SU9201 conducted in 1992 (Chief Scientist: Dr. Frederick Jones). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection. Funding was provided by NSF grant(s): NOAA-XXX.
DOI: 10.1594/ieda/303714
title: Seismic Shot Point Navigation Data from the Southern Ocean and Southeast Indian Ridge acquired during R/V Maurice Ewing expedition EW0114 (2001)

description: This data set from the Southern Ocean and Southeast Indian Ridge was acquired with the LDEO Multi-Channel Seismic system during R/V Maurice Ewing expedition EW0114 conducted in 2001 (Chief Scientist: Dr. James Cochran). These data files are of ASCII format and include Seismic Shot Point Navigation data that provide the primary seismic navigation source for this cruise. Data were acquired as part of the project: The Effects of Changes in Mantle Temperature on Melt Supply and Crustal Accretion: An MCS Reflection and OBH Refraction Study of the Southeast Indian Ridge, and funding was provided by NSF grant: OCE99-11720. These data are cited by Baran et al., 2009.
DOI: 10.1594/ieda/313199
title: Processed ship-based Navigation Data acquired during the Vema expedition V2609 (1969)

description: This data set was acquired with a ship-based Navigation system during Vema expedition V2609 conducted in 1969 (Chief Scientist: Dr. Thomas Aitken). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.1594/ieda/315299
title: Ship-based Trackline Geophysical Data (MGD77) acquired during the Vema expedition V1513 (1959)

description: This data set was acquired with a ship-based Echosounder Sonar during Vema expedition V1513 conducted in 1959 (Chief Scientist: Dr. Sam Gerard). These data files are of MGD77 format and include Singlebeam Bathymetry data and were processed after data collection.
DOI: 10.1594/ieda/315613
title: Ship-based Trackline Geophysical Data (MGD77) acquired during the Eltanin expedition ELT16 (1965)

description: This data set was acquired with a ship-based Magnetometer and Echosounder Sonar during Eltanin expedition ELT16 conducted in 1965 (Chief Scientist: Dr. Philip M. Smith). These data files are of MGD77 format and include Singlebeam Bathymetry and Magnetic Field data and were processed after data collection.
DOI: 10.1594/ieda/315339
title: Ship-based Trackline Geophysical Data (MGD77) acquired during the Vema expedition V1801 (1961)

description: This data set was acquired with a ship-based Echosounder Sonar and Magnetometer during Vema expedition V1801 conducted in 1961 (Chief Scientist: Dr. John Ewing). These data files are of MGD77 format and include Singlebeam Bathymetry and Magnetic Field data and were processed after data collection.
DOI: 10.1594/ieda/319061
title: Processed ship-based Navigation Data  from the Drake Passage acquired during the Nathaniel B. Palmer expedition NBP1207 (2012)

description: This data set was acquired with a ship-based Seatex Seapath200 Navigation system during Nathaniel B. Palmer expedition NBP1207 conducted in 2012 (Chief Scientist: Dr. George Watters). These data files are of MGDS:Nav format and include Primary Navigation data and were processed after data collection.
DOI: 10.1594/ieda/310696
title: Processed ship-based Navigation Data acquired during the Robert D. Conrad expedition RC1205 (1968)

description: This data set was acquired with a ship-based Navigation system during Robert D. Conrad expedition RC1205 conducted in 1968 (Chief Scientist: Dr. Alberto Lonardi). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.1594/ieda/319861
title: Raw XBT Expendable Probe Data from the Southern Ocean acquired during the Nathaniel B. Palmer expedition NBP1210 (2013)

description: This data set was acquired with a Sippican MK21 XBT Expendable Probe during Nathaniel B. Palmer expedition NBP1210 conducted in 2013 (Chief Scientist: Dr. Kenneth Halanych; Investigator(s):  Dr. Kenneth Halanych). These data files are of Sippican MK21 Export Data File format and include Temperature data that have not been processed. Funding was provided by NSF grant(s): ANT10-43745.
DOI: 10.1594/ieda/311318
title: Processed ship-based Navigation Data acquired during the Maurice Ewing expedition EW0111 (2001)

description: This data set was acquired with a ship-based Navigation system during Maurice Ewing expedition EW0111 conducted in 2001 (Chief Scientist: Dr. Brian Taylor). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection. Data were acquired while the Maurice Ewing was in transit.
DOI: 10.1594/ieda/324476
title: Processed Navigation Data from the Antarctic Peninsula acquired during R/V Laurence M. Gould expedition LMG1802 (2018)

description: This data set was acquired with a  Navigation System during R/V Laurence M. Gould expedition LMG1802 conducted in 2018 (Chief Scientist: Dr. Alexander Simms, Investigator: Dr. Alexander Simms). These data files are of Text File (ASCII) format and include Navigation data that were processed after acquisition. Data were acquired as part of the project(s): Foraging Behavior And Ecological Role Of The Least-Studied Antarctic Krill Predator, The Antarctic Minke Whale (Balaenoptera Bonaerensis); Collaborative Research: New Constraints on Post-Glacial Rebound and Holocene Environmental History along the Northern Antarctic Peninsula from Raised Beaches. Funding was provided by NSF award(s): OPP16-43877, OPP16-44197.
DOI: 10.26022/ieda/302838
title: Raw Swath Bathymetry obtained by ship-based Multibeam Sonar Data from the Galapagos Spreading Center acquired during the Atlantis II expedition A112-24 (1985)

description: This data set was acquired with a ship-based SeaBeam Classic Multibeam Sonar system during Atlantis II expedition A112-24 conducted in 1985 (Chief Scientist: Dr. Richard Hey). These data files are of MBSystem-compatible format and include Swath Bathymetry data that have not been processed. These data are included in the GMRT Synthesis, version 1. Funding was provided by NSF grant(s): OCE83-15364.
DOI: 10.1594/ieda/310970
title: Processed ship-based Navigation Data acquired during the Robert D. Conrad expedition RC2302 (1982)

description: This data set was acquired with a ship-based Navigation system during Robert D. Conrad expedition RC2302 conducted in 1982 (Chief Scientist: Dr. Steve Cande). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.1594/ieda/315368
title: Ship-based Trackline Geophysical Data (MGD77) acquired during the Vema expedition V1911 (1963)

description: This data set was acquired with a ship-based Echosounder Sonar, Magnetometer, and Gravimeter during Vema expedition V1911 conducted in 1963 (Chief Scientist: Dr. Marcus Langseth). These data files are of MGD77 format and include Singlebeam Bathymetry, Gravity Field, and Magnetic Field data and were processed after data collection.
DOI: 10.1594/ieda/312773
title: Processed ship-based Navigation Data acquired during the Thomas G. Thompson expedition TN203 (2007)

description: This data set was acquired with a ship-based Navigation system during Thomas G. Thompson expedition TN203 conducted in 2007 (Chief Scientist: Dr. Russell McDuff). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.1594/ieda/317231
title: Processed ship-based Navigation Data  from the Ross Sea acquired during the Nathaniel B. Palmer expedition NBP1101 (2011)

description: This data set was acquired with a ship-based Navigation system during Nathaniel B. Palmer expedition NBP1101 conducted in 2011 (Chief Scientist: Dr. Josh Kohut). These data files are of MGDS:Nav format and include Primary Navigation data and were processed after data collection. Data were acquired as part of the project(s): Ross Sea Expedition, and funding was provided by NSF grant(s): ANT08-39039.
DOI: 10.6084/m9.figshare.26633115
title: Additional file 3 of Construction of cascade circuits for dynamic temporal regulation and its application to PHB production

description: Additional file 3: Table S2. RBS strength and sequence.
DOI: 10.6084/m9.figshare.27074829
title: Neyman-Pearson Multi-Class Classification via Cost-Sensitive Learning

description: Most existing classification methods aim to minimize the overall misclassification error rate. However, in applications such as loan default prediction, different types of errors can have varying consequences. To address this asymmetry issue, two popular paradigms have been developed: the Neyman-Pearson (NP) paradigm and the cost-sensitive (CS) paradigm. Previous studies on the NP paradigm have primarily focused on the binary case, while the multi-class NP problem poses a greater challenge due to its unknown feasibility. In this work, we tackle the multi-class NP problem by establishing a connection with the CS problem via strong duality and propose two algorithms. We extend the concept of NP oracle inequalities, crucial in binary classifications, to NP oracle properties in the multi-class context. Our algorithms satisfy these NP oracle properties under certain conditions. Furthermore, we develop practical algorithms to assess the feasibility and strong duality in multi-class NP problems, which can offer practitioners the landscape of a multi-class NP problem with various target error levels. Simulations and real data studies validate the effectiveness of our algorithms. To our knowledge, this is the first study to address the multi-class NP problem with theoretical guarantees. The proposed algorithms have been implemented in the R package npcs, which is available on CRAN. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.27074829.v1
title: Neyman-Pearson Multi-class Classification via Cost-sensitive Learning

description: Most existing classification methods aim to minimize the overall misclassification error rate. However, in applications such as loan default prediction, different types of errors can have varying consequences. To address this asymmetry issue, two popular paradigms have been developed: the Neyman-Pearson (NP) paradigm and the cost-sensitive (CS) paradigm. Previous studies on the NP paradigm have primarily focused on the binary case, while the multi-class NP problem poses a greater challenge due to its unknown feasibility. In this work, we tackle the multi-class NP problem by establishing a connection with the CS problem via strong duality and propose two algorithms. We extend the concept of NP oracle inequalities, crucial in binary classifications, to NP oracle properties in the multi-class context. Our algorithms satisfy these NP oracle properties under certain conditions. Furthermore, we develop practical algorithms to assess the feasibility and strong duality in multi-class NP problems, which can offer practitioners the landscape of a multi-class NP problem with various target error levels. Simulations and real data studies validate the effectiveness of our algorithms. To our knowledge, this is the first study to address the multi-class NP problem with theoretical guarantees. The proposed algorithms have been implemented in the R package npcs, which is available on CRAN.
DOI: 10.6084/m9.figshare.27115129
title: Using Penalized Synthetic Controls on Truncated Data: A Case Study on Effect of Marijuana Legalization on Direct Payments to Physicians by Opioid Manufacturers

description: Amid increasing awareness regarding opioid addiction, medical marijuana has emerged as a substitute to opioids for pain management. Concurrently, opioid manufacturers are putting significant research into making opioids safer yet effective. Interactions between these manufacturers and physicians are critical to advance existing pain management protocols. Direct payments from opioid manufacturers to physicians are established practices that often moderates such interactions. We study the effects of passage of a medical marijuana law (MML) on these direct payments to physicians. To draw causal conclusions, we develop a novel penalized synthetic control (SC) method that accommodates zero-payment related latent structures inherent in these payments. Under a truncated flexible additive mixture model, we show that the SC method has uncontrolled maximal risk without the penalty; by contrast, the proposed penalized method provides efficient estimates. Our analysis finds a significant decrease in direct payments from opioid manufacturers to pain medicine physicians as an effect of MML passage. We provide evidence that this decrease is due to medical marijuana becoming available as a substitute. Finally, our heterogeneity analyses indicate that the decrease in direct payments is comparatively higher for physicians practicing in localities with higher white populations, lower affluence, and a larger proportion of working-age residents. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.27115129.v1
title: Using Penalized Synthetic Controls on Truncated data: A Case Study on Effect of Marijuana Legalization on Direct Payments to Physicians by Opioid Manufacturers

description: Amid increasing awareness regarding opioid addiction, medical marijuana has emerged as a substitute to opioids for pain management. Concurrently, opioid manufacturers are putting significant research into making opioids safer yet effective. Interactions between these manufacturers and physicians are critical to advance existing pain management protocols. Direct payments from opioid manufacturers to physicians are established practices that often moderates such interactions. We study the effects of passage of a medical marijuana law (MML) on these direct payments to physicians. To draw causal conclusions, we develop a novel penalized synthetic control (SC) method that accommodates zero-payment related latent structures inherent in these payments. Under a truncated flexible additive mixture model, we show that the SC method has uncontrolled maximal risk without the penalty; by contrast, the proposed penalized method provides efficient estimates. Our analysis finds a significant decrease in direct payments from opioid manufacturers to pain medicine physicians as an effect of MML passage. We provide evidence that this decrease is due to medical marijuana becoming available as a substitute. Finally, our heterogeneity analyses indicate that the decrease in direct payments is comparatively higher for physicians practicing in localities with higher white populations, lower affluence, and a larger proportion of working-age residents.
DOI: 10.6084/m9.figshare.27115129.v2
title: Using Penalized Synthetic Controls on Truncated Data: A Case Study on Effect of Marijuana Legalization on Direct Payments to Physicians by Opioid Manufacturers

description: Amid increasing awareness regarding opioid addiction, medical marijuana has emerged as a substitute to opioids for pain management. Concurrently, opioid manufacturers are putting significant research into making opioids safer yet effective. Interactions between these manufacturers and physicians are critical to advance existing pain management protocols. Direct payments from opioid manufacturers to physicians are established practices that often moderates such interactions. We study the effects of passage of a medical marijuana law (MML) on these direct payments to physicians. To draw causal conclusions, we develop a novel penalized synthetic control (SC) method that accommodates zero-payment related latent structures inherent in these payments. Under a truncated flexible additive mixture model, we show that the SC method has uncontrolled maximal risk without the penalty; by contrast, the proposed penalized method provides efficient estimates. Our analysis finds a significant decrease in direct payments from opioid manufacturers to pain medicine physicians as an effect of MML passage. We provide evidence that this decrease is due to medical marijuana becoming available as a substitute. Finally, our heterogeneity analyses indicate that the decrease in direct payments is comparatively higher for physicians practicing in localities with higher white populations, lower affluence, and a larger proportion of working-age residents. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.15468/dl.4wex74
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Varroa destructor Anderson & Trueman, 2000",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022506-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zx4dnw
title: Occurrence Download

description: A dataset containing 6657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maccullochella peelii (Mitchell, 1838)"
 ]
}

 The dataset includes 6657 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022507-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hr2e5m
title: Occurrence Download

description: A dataset containing 1534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sarotherodon melanotheron Rüppell, 1852)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1534 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022510-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmkh7h
title: Occurrence Download

description: A dataset containing 27238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.49944 25.16901,-61.37892 25.16901,-61.37892 49.31145,-90.49944 49.31145,-90.49944 25.16901))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ambystoma maculatum (Shaw, 1802)"
 ]
}

 The dataset includes 27238 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022511-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27857922
title: Supplementary Material 2 – Detailed search strategy.

description: This file contains the detailed search strategy for each scientific databases.
DOI: 10.5067/8oodmtvr6rt9
title: SMAP/CYGNSS EASE-Grid Soil Moisture, Version 1
DOI: 10.15468/dl.cv9522
title: Occurrence Download

description: A dataset containing 6657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maccullochella peelii (Mitchell, 1838)"
 ]
}

 The dataset includes 6657 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022513-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qp3dm
title: Occurrence Download

description: A dataset containing 15260 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypopyrrhus pyrohypogaster (Tarragon, 1847)"
 ]
}

 The dataset includes 15260 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022512-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14188183
title: Numerical Electrostatic Simulations Output

description: A .zip file containing the following:

Simulation outputs saved as Matlab .mat files.

Matlab .m scripts to make figures from each of the .mat files.
DOI: 10.5281/zenodo.14188184
title: Numerical Electrostatic Simulations Output

description: A .zip file containing the following:

Simulation outputs saved as Matlab .mat files.

Matlab .m scripts to make figures from each of the .mat files.
DOI: 10.15468/dl.v4hpgb
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salvia mexicana L.",
 "Year 1990-2024"
 ]
}

 The dataset includes 460 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022515-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.