cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/147103
title: INS (Inertial Navigation System) data collected during research cruise BH21-14 using a Applanix POS/MV-320 V2 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147107
title: Meteorological Station data collected during research cruise BH21-14 using a RM Young 26700 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147106
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise BH21-14 using a SUNBURST SuperCO2 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147104
title: TSG (Thermosalinograph) data collected during research cruise BH21-14 using a Sea-Bird SBE-21 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147113
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise BH21-15 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147115
title: GNSS (Global Navigation Satellite System) data collected during research cruise BH21-15 using a Furuno GP-90 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147109
title: INS (Inertial Navigation System) data collected during research cruise BH21-15 using a Applanix POS/MV-320 V2 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147114
title: Meteorological Station data collected during research cruise BH21-15 using a RM Young 26700 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147112
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise BH21-15 using a SUNBURST SuperCO2 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147110
title: TSG (Thermosalinograph) data collected during research cruise BH21-15 using a Sea-Bird SBE-21 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147120
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise BH21-16 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147122
title: GNSS (Global Navigation Satellite System) data collected during research cruise BH21-16 using a Furuno GP-90 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147116
title: INS (Inertial Navigation System) data collected during research cruise BH21-16 using a Applanix POS/MV-320 V2 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147121
title: Meteorological Station data collected during research cruise BH21-16 using a RM Young 26700 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147119
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise BH21-16 using a SUNBURST SuperCO2 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147117
title: TSG (Thermosalinograph) data collected during research cruise BH21-16 using a Sea-Bird SBE-21 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147127
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise BH21-17 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147129
title: GNSS (Global Navigation Satellite System) data collected during research cruise BH21-17 using a Furuno GP-90 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147123
title: INS (Inertial Navigation System) data collected during research cruise BH21-17 using a Applanix POS/MV-320 V2 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147128
title: Meteorological Station data collected during research cruise BH21-17 using a RM Young 26700 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147126
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise BH21-17 using a SUNBURST SuperCO2 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147124
title: TSG (Thermosalinograph) data collected during research cruise BH21-17 using a Sea-Bird SBE-21 instrument system onboard the platform RV Blue Heron

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/112285
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise PE13-20 using a RDI OS-75 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/116161
title: Anemometer data collected during research cruise PE13-20 using a RM Young 50260 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/116477
title: Barometer data collected during research cruise PE13-20 using a Vaisala PTB101B instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124620
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PE13-20 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/112404
title: GNSS (Global Navigation Satellite System) data collected during research cruise PE13-20 using a Trimble 4000DL instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/116510
title: Hygrometer data collected during research cruise PE13-20 using a Vaisala HMP45 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/116565
title: Meteorological Station data collected during research cruise PE13-20 using a CWS Magellan instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25773/26ac-gk12
title: Dorchester County, Maryland Shoreline Situation Report Methods and Guidelines - GIS Data
DOI: 10.6084/m9.figshare.18788190.v1
title: Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions

description: The Matérn covariance function is a popular choice for prediction in spatial statistics and uncertainty quantification literature. A key benefit of the Matérn class is that it is possible to get precise control over the degree of mean-square differentiability of the random process. However, the Matérn class possesses exponentially decaying tails, and thus, may not be suitable for modeling polynomially decaying dependence. This problem can be remedied using polynomial covariances; however, one loses control over the degree of mean-square differentiability of corresponding processes, in that random processes with existing polynomial covariances are either infinitely mean-square differentiable or nowhere mean-square differentiable at all. We construct a new family of covariance functions called the <i>Confluent Hypergeometric</i> (CH) class using a scale mixture representation of the Matérn class where one obtains the benefits of both Matérn and polynomial covariances. The resultant covariance contains two parameters: one controls the degree of mean-square differentiability near the origin and the other controls the tail heaviness, independently of each other. Using a spectral representation, we derive theoretical properties of this new covariance including equivalent measures and asymptotic behavior of the maximum likelihood estimators under infill asymptotics. The improved theoretical properties of the CH class are verified via extensive simulations. Application using NASA’s Orbiting Carbon Observatory-2 satellite data confirms the advantage of the CH class over the Matérn class, especially in extrapolative settings. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.18788190
title: Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions

description: The Matérn covariance function is a popular choice for prediction in spatial statistics and uncertainty quantification literature. A key benefit of the Matérn class is that it is possible to get precise control over the degree of mean-square differentiability of the random process. However, the Matérn class possesses exponentially decaying tails, and thus, may not be suitable for modeling polynomially decaying dependence. This problem can be remedied using polynomial covariances; however, one loses control over the degree of mean-square differentiability of corresponding processes, in that random processes with existing polynomial covariances are either infinitely mean-square differentiable or nowhere mean-square differentiable at all. We construct a new family of covariance functions called the <i>Confluent Hypergeometric</i> (CH) class using a scale mixture representation of the Matérn class where one obtains the benefits of both Matérn and polynomial covariances. The resultant covariance contains two parameters: one controls the degree of mean-square differentiability near the origin and the other controls the tail heaviness, independently of each other. Using a spectral representation, we derive theoretical properties of this new covariance including equivalent measures and asymptotic behavior of the maximum likelihood estimators under infill asymptotics. The improved theoretical properties of the CH class are verified via extensive simulations. Application using NASA’s Orbiting Carbon Observatory-2 satellite data confirms the advantage of the CH class over the Matérn class, especially in extrapolative settings. Supplementary materials for this article are available online.
DOI: 10.25773/6v8v-ah30
title: Development of the Maryland Shoreline Inventory Methods and Guidelines for Harford County - GIS Data
DOI: 10.5281/zenodo.6097026
title: An estimation of the absolute number of axons indicates that human cortical areas are sparsely connected

description: This is a collection of preprocessed data and standalone Matlab analysis code for the PLoS: Biology article of the same name, https://doi.org/10.1371/journal.pbio.3001575. The primary processed diffusion MRI connectivity data was reported and previous distributed in our eNeuro article https://doi.org/10.1523/ENEURO.0416-20.2020. The replication dataset was reported and previous distributed by Arnatkeviciute et al. 2021, Nature Communications (https://doi.org/10.1038/s41467-021-24306-2). Please cite these publications when using relevant code or data. Files with the .mat extension are Matlab v7.3 data files. The raw imaging data from which these files were derived are available from https://db.humanconnectome.org.
description: This work was supported by National Institutes of Health grants RF1MH117155 and R01NS109553. Data were provided, in part, by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 National Institutes of Health (NIH) Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University.
DOI: 10.5281/zenodo.4910309
title: An estimation of the absolute number of axons indicates that human cortical areas are sparsely connected

description: This is a collection of preprocessed data and standalone Matlab analysis code for the PLoS: Biology article of the same name, https://doi.org/10.1371/journal.pbio.3001575. The primary processed diffusion MRI connectivity data was reported and previous distributed in our eNeuro article https://doi.org/10.1523/ENEURO.0416-20.2020. The replication dataset was reported and previous distributed by Arnatkeviciute et al. 2021, Nature Communications (https://doi.org/10.1038/s41467-021-24306-2). Please cite these publications when using relevant code or data. Files with the .mat extension are Matlab v7.3 data files. The raw imaging data from which these files were derived are available from https://db.humanconnectome.org.
description: This work was supported by National Institutes of Health grants RF1MH117155 and R01NS109553. Data were provided, in part, by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 National Institutes of Health (NIH) Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University.
DOI: 10.25934/pr00007658
title: Tripartite Estimands for Adherence Causal Inference in Clinical Trials, With Applications for the Development of COVID-19 Treatments

description: In most clinical trials, patients are randomized to an experimental treatment and a control treatment in order to assess the efficacy of the former. Clinical trials generally have a prescriptive set of procedures for the conduct of the trial, which is called a protocol. For ethical and medical reasons, patients may not be able to follow the defined protocol and dosing.

Specifically:
1.patients may have adverse events during the trial,
2.patients or their physicians may decide to discontinue their study medication, regardless of whether they are experiencing any benefit from the treatment,
3.patients or their physicians may feel that there is insufficient improvement in their condition (or even worsening) and likewise decide to terminate further use of their study medication,
4.personal circumstances that may keep a patient from continuing to participate in a clinical trial (e.g. moving out of town, family matters that take precedence such as the illness of a family member), or
5.patients may not be able to adhere to the protocol schedule – they miss visits, they forget to take their medication, they withdraw consent to take a battery of tests during the trial.

Each of the disruptions to the planned clinical trial protocol as described above (as well as others that can occur in clinical trials) can obscure or confound the effect of both experimental and control treatments being studied.

Estimating the so-called direct treatment effects is quite difficult and not as direct due to the biases that must be accounted for from the above disruptions. The proposed Tripartite Estimands framework circumvents the biases incurred by incorporating non-adherence to the above disruptions into the model for the outcomes of the different treatments, yielding results that capture a more comprehensive view of the treatment effects.

While the Tripartite Approach can be useful in many clinical trial settings, it may have particular utility for the thousands of ongoing clinical trials of new medications NOT for COVID-19 that have experienced substantial disruptions due to the COVID-19 epidemic. For example, many trials were ongoing at the beginning of 2020 (in diabetes, pain, cancer, rheumatoid arthritis, asthma, etc.), and when the pandemic hit, many of the patients in these studies either
1.could not get to the study site for treatment due to quarantine or the site being closed
2.could not get their study medication because supply chains were severely disrupted or
3.actually contracted COVID-19 and had to discontinue their study medication or drop-out of the study in which they were enrolled.
DOI: 10.15468/dl.3vtxa8
title: Occurrence Download

description: A dataset containing 36303 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36303 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204692-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgd7so
title: Occurrence Download

description: A dataset containing 417 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echium candicans L. f."
 ]
}

 The dataset includes 417 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000524-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jt8t47
title: Occurrence Download

description: A dataset containing 8682 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrotheca Fitzinger, 1843"
 ]
}

 The dataset includes 8682 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204713-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.np3nmb
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Campynemataceae"
 ]
}

 The dataset includes 329 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054006-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uebso
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrolycus scomberoides (Cuvier, 1819)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 201 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000524-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exdjpn
title: Occurrence Download

description: A dataset containing 506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Heteroscyphus argutus (Reinw., Blume & Nees) Schiffn.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 506 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024364-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9u3j8
title: Occurrence Download

description: A dataset containing 28111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rorippa sylvestris (L.) Besser",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 28111 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000524-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewt5b7
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Image",
 "TaxonKey is Indigofera concava Harv."
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0178726-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2abwhb
title: Occurrence Download

description: A dataset containing 53100 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Year 1980-2019",
 "HasCoordinate is true",
 "TaxonKey is Viola tricolor L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53100 records from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025009-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7m5ab
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurothallis questionis Luer & R.Escobar"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184249-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urbzrs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agkistrodon browni Shreve, 1938"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000524-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkay9r
title: Occurrence Download

description: A dataset containing 2199385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is China",
 "Year 2000-2022"
 ]
}

 The dataset includes 2199385 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012660-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nv4w3s
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Uromastyx ornata Heyden, 1827",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 159 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000882-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zlea5u
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scytodes globula Nicolet, 1849"
 ]
}

 The dataset includes 128 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000524-170816103707345/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.