cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17261777
title: The UAH Predictions of the Solar Wind and Magnetic Field at the Parker Solar Probe during Solar Encounter 21 (2024-09-27)

description: 1. Model

The MS-FLUKSS heliospheric MHD model is coupled with the WSA model (Kim et al. 2020), which used ADAPT-GONG and ADAPT-HMI input magnetograms, with the PFSS source surface height and the WSA outer boundary at 2.5 and 10 solar radii, respectively. The MHD model propagates the solar wind from 10 solar radii to 236 solar radii (1.1 AU) to fully enclose the PSP trajectory. Hence, field line tracing from PSP to the solar surface is performed through the MHD domain down to 10 solar radii instantaneously at approximately 1 hour cadence, where the origin of the field line on the photosphere is already known in the WSA model. See Badman et al. (2023) for details.

MS-FLUKSS: Multi-Scale Fluid-Kinetic Simulation Suite

MHD: Magnetohydrodynamic

WSA: Wang-Sheeley-Arge

ADAPT: Air Force Data Assimilative Photospheric flux Transport

GONG: Global Oscillation Network Group

PFSS: Potential Field Source Surface

PSP: Parker Solar Probe

 

2. Data

There are two sets of data files as described below:

(A) "PSP_AGONG_R000.dat" - "PSP_AGONG_R011.dat" and "PSP_AHMI_R000.dat" - "PSP_AHMI_R011.dat": MS-FLUKSS simulation results extracted along the PSP trajectory labeled by the input magnetogram (each of the 12 realizations of ADAPT-GONG and ADAPT-HMI) for the WSA model. 

Each data file consist of a header and 16 columns of numerical values in the following order:

(1) Time (fractional year)

(2) Heliocentric distance (AU)

(3) MS-FLUKSS longitude (rotated by ~180 degrees from inertial heliographic longitude in degrees)

(4) MS-FLUKSS latitude (same as heliographic latitude in degrees)

(5) Solar wind proton number density (cm^-3)

(6) Solar wind Vr (km/s)

(7) Solar wind Vphi (km/s)

(8) Solar wind Vtheta (km/s)

(9) Thermal pressure of solar wind and interstellar pickup ion mixture (picodyne/cm^2)

(10) Br (microgauss)

(11) Bphi (microgauss)

(12) Btheta (microgauss)

(13) Level set value for tracking the heliospheric current sheet

(14) Level set value for tracking the initial MS-FLUKSS longitude at the inner boundary

(15) Level set value for tracking the initial MS-FLUKSS latitude at the inner boundary

(16) Solar wind temperature.

 

(B) "UAH_psp_e21_20240927*_agongWSAmhd.csv" and "UAH_psp_e21_20240927*_ahmiWSAmhd.csv": Carrington longitude and latitude of the predicted magnetic footpoint from 2024-09-27 to 2024-10-12.

 

Each data file consists of 4 columns of numeric values in the following order:

(1) Date (YYYY-MM-DD)

(2) Time (hh:mm:ss in UT)

(3) Carrington longitude (degree)

(4) Carrington latitude (degree)

 

3. Figures

There is a pdf file showing plots of predicted Br, Vr, density, and temperature at PSP for each set of 12 realizations: uah_psp_e21_20240927_agongWSAmhd_ahmiWSAmhd.pdf.

A plot showing the footpoint prediction results projected onto the solar disk is available at the PSP science gateway, at https://psp-gateway.jhuapl.edu/website/SciencePlanning/MissionEvents/, under “Encounter 21”.
DOI: 10.5281/zenodo.17260635
title: The UAH Predictions of the Solar Wind and Magnetic Field at the Parker Solar Probe during Solar Encounter 21 (2024-09-25)

description: 1. Model

The MS-FLUKSS heliospheric MHD model is coupled with the WSA model (Kim et al. 2020), which used ADAPT-GONG and ADAPT-HMI input magnetograms, with the PFSS source surface height and the WSA outer boundary at 2.5 and 10 solar radii, respectively. The MHD model propagates the solar wind from 10 solar radii to 236 solar radii (1.1 AU) to fully enclose the PSP trajectory. Hence, field line tracing from PSP to the solar surface is performed through the MHD domain down to 10 solar radii instantaneously at approximately 1 hour cadence, where the origin of the field line on the photosphere is already known in the WSA model. See Badman et al. (2023) for details.

MS-FLUKSS: Multi-Scale Fluid-Kinetic Simulation Suite

MHD: Magnetohydrodynamic

WSA: Wang-Sheeley-Arge

ADAPT: Air Force Data Assimilative Photospheric flux Transport

GONG: Global Oscillation Network Group

PFSS: Potential Field Source Surface

PSP: Parker Solar Probe

 

2. Data

There are two sets of data files as described below:

(A) "PSP_AGONG_R000.dat" - "PSP_AGONG_R011.dat" and "PSP_AHMI_R000.dat" - "PSP_AHMI_R011.dat": MS-FLUKSS simulation results extracted along the PSP trajectory labeled by the input magnetogram (each of the 12 realizations of ADAPT-GONG and ADAPT-HMI) for the WSA model. 

Each data file consist of a header and 16 columns of numerical values in the following order:

(1) Time (fractional year)

(2) Heliocentric distance (AU)

(3) MS-FLUKSS longitude (rotated by ~180 degrees from inertial heliographic longitude in degrees)

(4) MS-FLUKSS latitude (same as heliographic latitude in degrees)

(5) Solar wind proton number density (cm^-3)

(6) Solar wind Vr (km/s)

(7) Solar wind Vphi (km/s)

(8) Solar wind Vtheta (km/s)

(9) Thermal pressure of solar wind and interstellar pickup ion mixture (picodyne/cm^2)

(10) Br (microgauss)

(11) Bphi (microgauss)

(12) Btheta (microgauss)

(13) Level set value for tracking the heliospheric current sheet

(14) Level set value for tracking the initial MS-FLUKSS longitude at the inner boundary

(15) Level set value for tracking the initial MS-FLUKSS latitude at the inner boundary

(16) Solar wind temperature.

 

(B) "UAH_psp_e21_20240925*_agongWSAmhd.csv" and "UAH_psp_e21_20240925*_ahmiWSAmhd.csv": Carrington longitude and latitude of the predicted magnetic footpoint from 2024-09-25 to 2024-10-14 (approximate).

 

Each data file consists of 4 columns of numeric values in the following order:

(1) Date (YYYY-MM-DD)

(2) Time (hh:mm:ss in UT)

(3) Carrington longitude (degree)

(4) Carrington latitude (degree)

 

3. Figures

There is a pdf file showing plots of predicted Br, Vr, density, and temperature at PSP for each set of 12 realizations: uah_psp_e21_20240925_agongWSAmhd_ahmiWSAmhd.pdf.

A plot showing the footpoint prediction results projected onto the solar disk is available at the PSP science gateway, at https://psp-gateway.jhuapl.edu/website/SciencePlanning/MissionEvents/, under “Encounter 21”.
DOI: 10.5281/zenodo.17260636
title: The UAH Predictions of the Solar Wind and Magnetic Field at the Parker Solar Probe during Solar Encounter 21 (2024-09-25)

description: 1. Model

The MS-FLUKSS heliospheric MHD model is coupled with the WSA model (Kim et al. 2020), which used ADAPT-GONG and ADAPT-HMI input magnetograms, with the PFSS source surface height and the WSA outer boundary at 2.5 and 10 solar radii, respectively. The MHD model propagates the solar wind from 10 solar radii to 236 solar radii (1.1 AU) to fully enclose the PSP trajectory. Hence, field line tracing from PSP to the solar surface is performed through the MHD domain down to 10 solar radii instantaneously at approximately 1 hour cadence, where the origin of the field line on the photosphere is already known in the WSA model. See Badman et al. (2023) for details.

MS-FLUKSS: Multi-Scale Fluid-Kinetic Simulation Suite

MHD: Magnetohydrodynamic

WSA: Wang-Sheeley-Arge

ADAPT: Air Force Data Assimilative Photospheric flux Transport

GONG: Global Oscillation Network Group

PFSS: Potential Field Source Surface

PSP: Parker Solar Probe

 

2. Data

There are two sets of data files as described below:

(A) "PSP_AGONG_R000.dat" - "PSP_AGONG_R011.dat" and "PSP_AHMI_R000.dat" - "PSP_AHMI_R011.dat": MS-FLUKSS simulation results extracted along the PSP trajectory labeled by the input magnetogram (each of the 12 realizations of ADAPT-GONG and ADAPT-HMI) for the WSA model. 

Each data file consist of a header and 16 columns of numerical values in the following order:

(1) Time (fractional year)

(2) Heliocentric distance (AU)

(3) MS-FLUKSS longitude (rotated by ~180 degrees from inertial heliographic longitude in degrees)

(4) MS-FLUKSS latitude (same as heliographic latitude in degrees)

(5) Solar wind proton number density (cm^-3)

(6) Solar wind Vr (km/s)

(7) Solar wind Vphi (km/s)

(8) Solar wind Vtheta (km/s)

(9) Thermal pressure of solar wind and interstellar pickup ion mixture (picodyne/cm^2)

(10) Br (microgauss)

(11) Bphi (microgauss)

(12) Btheta (microgauss)

(13) Level set value for tracking the heliospheric current sheet

(14) Level set value for tracking the initial MS-FLUKSS longitude at the inner boundary

(15) Level set value for tracking the initial MS-FLUKSS latitude at the inner boundary

(16) Solar wind temperature.

 

(B) "UAH_psp_e21_20240925*_agongWSAmhd.csv" and "UAH_psp_e21_20240925*_ahmiWSAmhd.csv": Carrington longitude and latitude of the predicted magnetic footpoint from 2024-09-25 to 2024-10-14 (approximate).

 

Each data file consists of 4 columns of numeric values in the following order:

(1) Date (YYYY-MM-DD)

(2) Time (hh:mm:ss in UT)

(3) Carrington longitude (degree)

(4) Carrington latitude (degree)

 

3. Figures

There is a pdf file showing plots of predicted Br, Vr, density, and temperature at PSP for each set of 12 realizations: uah_psp_e21_20240925_agongWSAmhd_ahmiWSAmhd.pdf.

A plot showing the footpoint prediction results projected onto the solar disk is available at the PSP science gateway, at https://psp-gateway.jhuapl.edu/website/SciencePlanning/MissionEvents/, under “Encounter 21”.
DOI: 10.15468/dl.d2atm9
title: Occurrence Download

description: A dataset listing the 347 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((2.85879 43.05418,2.8638 43.05206,2.87013 43.05193,2.87224 43.05035,2.86987 43.0485,2.87172 43.04705,2.86684 43.0427,2.8667 43.04046,2.87 43.03822,2.87198 43.03215,2.8977 43.01935,2.90496 43.03123,2.9221 43.02358,2.92883 43.0245,2.93397 43.02358,2.94083 43.02476,2.94149 43.02832,2.95006 43.0307,2.95244 43.04468,2.944 43.04732,2.93793 43.04455,2.9349 43.04587,2.93846 43.05483,2.93674 43.05589,2.93687 43.06011,2.9374 43.0646,2.93978 43.07106,2.94189 43.07422,2.95297 43.07132,2.91854 43.08108,2.913 43.0799,2.89348 43.08227,2.88992 43.07924,2.882 43.07805,2.87515 43.07462,2.87 43.07356,2.86829 43.06341,2.86763 43.0613,2.86143 43.0576,2.85879 43.05418))",
 "TaxonKey is Insecta"
 ]
}

 The dataset's 347 records were derived from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054035-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17254672
title: The UAH Predictions of the Solar Wind and Magnetic Field at the Parker Solar Probe during Solar Encounter 22 (2024-12-24)

description: 1. Model

The MS-FLUKSS heliospheric MHD model is coupled with the WSA model (Kim et al. 2020), which used ADAPT-GONG input magnetograms, with the PFSS source surface height and the WSA outer boundary at 2.5 and 9 solar radii, respectively. The MHD model propagates the solar wind from 9 solar radii to 236 solar radii (1.1 AU) to fully enclose the PSP trajectory. Hence, field line tracing from PSP to the solar surface is performed through the MHD domain down to 9 solar radii instantaneously at approximately 1 hour cadence, where the origin of the field line on the photosphere is already known in the WSA model. See Badman et al. (2023) for details.

MS-FLUKSS: Multi-Scale Fluid-Kinetic Simulation Suite

MHD: Magnetohydrodynamic

WSA: Wang-Sheeley-Arge

ADAPT: Air Force Data Assimilative Photospheric flux Transport

GONG: Global Oscillation Network Group

PFSS: Potential Field Source Surface

PSP: Parker Solar Probe

 

2. Data

There are two sets of data files as described below:

(A) "PSP_AGONG_R000.dat" - "PSP_AGONG_R011.dat": MS-FLUKSS simulation results extracted along the PSP trajectory labeled by the input magnetogram (each of the 12 realizations of ADAPT-GONG) for the WSA model. 

Each data file consist of a header and 16 columns of numerical values in the following order:

(1) Time (fractional year)

(2) Heliocentric distance (AU)

(3) MS-FLUKSS longitude (rotated by ~180 degrees from inertial heliographic longitude in degrees)

(4) MS-FLUKSS latitude (same as heliographic latitude in degrees)

(5) Solar wind proton number density (cm^-3)

(6) Solar wind Vr (km/s)

(7) Solar wind Vphi (km/s)

(8) Solar wind Vtheta (km/s)

(9) Thermal pressure of solar wind and interstellar pickup ion mixture (picodyne/cm^2)

(10) Br (microgauss)

(11) Bphi (microgauss)

(12) Btheta (microgauss)

(13) Level set value for tracking the heliospheric current sheet

(14) Level set value for tracking the initial MS-FLUKSS longitude at the inner boundary

(15) Level set value for tracking the initial MS-FLUKSS latitude at the inner boundary

(16) Solar wind temperature.

 

(B) "UAH_psp_e22_20241224*_agongWSAmhd.csv": Carrington longitude and latitude of the predicted magnetic footpoint from 2024-12-24 to 2025-01-01.

 

Each data file consists of 4 columns of numeric values in the following order:

(1) Date (YYYY-MM-DD)

(2) Time (hh:mm:ss in UT)

(3) Carrington longitude (degree)

(4) Carrington latitude (degree)

 

3. Figures

There is one figure showing plots of predicted Br, Vr, density, and temperature at PSP: uah_psp_e22_20241224_agongWSAmhd.pdf.

A plot showing the footpoint prediction results projected onto the solar disk is available at the PSP science gateway, at https://psp-gateway.jhuapl.edu/website/SciencePlanning/MissionEvents/, under “Encounter 22”.
DOI: 10.5281/zenodo.17254642
title: The UAH Predictions of the Solar Wind and Magnetic Field at the Parker Solar Probe during Solar Encounter 22 (2024-12-24)

description: 1. Model

The MS-FLUKSS heliospheric MHD model is coupled with the WSA model (Kim et al. 2020), which used ADAPT-GONG input magnetograms, with the PFSS source surface height and the WSA outer boundary at 2.5 and 9 solar radii, respectively. The MHD model propagates the solar wind from 9 solar radii to 236 solar radii (1.1 AU) to fully enclose the PSP trajectory. Hence, field line tracing from PSP to the solar surface is performed through the MHD domain down to 9 solar radii instantaneously at approximately 1 hour cadence, where the origin of the field line on the photosphere is already known in the WSA model. See Badman et al. (2023) for details.

MS-FLUKSS: Multi-Scale Fluid-Kinetic Simulation Suite

MHD: Magnetohydrodynamic

WSA: Wang-Sheeley-Arge

ADAPT: Air Force Data Assimilative Photospheric flux Transport

GONG: Global Oscillation Network Group

PFSS: Potential Field Source Surface

PSP: Parker Solar Probe

 

2. Data

There are two sets of data files as described below:

(A) "PSP_AGONG_R000.dat" - "PSP_AGONG_R011.dat": MS-FLUKSS simulation results extracted along the PSP trajectory labeled by the input magnetogram (each of the 12 realizations of ADAPT-GONG) for the WSA model. 

Each data file consist of a header and 16 columns of numerical values in the following order:

(1) Time (fractional year)

(2) Heliocentric distance (AU)

(3) MS-FLUKSS longitude (rotated by ~180 degrees from inertial heliographic longitude in degrees)

(4) MS-FLUKSS latitude (same as heliographic latitude in degrees)

(5) Solar wind proton number density (cm^-3)

(6) Solar wind Vr (km/s)

(7) Solar wind Vphi (km/s)

(8) Solar wind Vtheta (km/s)

(9) Thermal pressure of solar wind and interstellar pickup ion mixture (picodyne/cm^2)

(10) Br (microgauss)

(11) Bphi (microgauss)

(12) Btheta (microgauss)

(13) Level set value for tracking the heliospheric current sheet

(14) Level set value for tracking the initial MS-FLUKSS longitude at the inner boundary

(15) Level set value for tracking the initial MS-FLUKSS latitude at the inner boundary

(16) Solar wind temperature.

 

(B) "UAH_psp_e22_20241224*_agongWSAmhd.csv": Carrington longitude and latitude of the predicted magnetic footpoint from 2024-12-24 to 2025-01-01.

 

Each data file consists of 4 columns of numeric values in the following order:

(1) Date (YYYY-MM-DD)

(2) Time (hh:mm:ss in UT)

(3) Carrington longitude (degree)

(4) Carrington latitude (degree)

 

3. Figures

There is one figure showing plots of predicted Br, Vr, density, and temperature at PSP: uah_psp_e22_20241224_agongWSAmhd.pdf.

A plot showing the footpoint prediction results projected onto the solar disk is available at the PSP science gateway, at https://psp-gateway.jhuapl.edu/website/SciencePlanning/MissionEvents/, under “Encounter 22”.
DOI: 10.5281/zenodo.17943596
title: A Conceptual Framework for Novel Therapeutic Discovery in Colorectal Cancer: Integrating Advanced Mathematical Modeling, Bayesian Inference, Sensitivity Analysis, and Uncertainty Quantification

description: This conceptual framework proposes a paradigm-shifting approach to discovering novel therapeutics for colorectal cancer (CRC) by seamlessly integrating sophisticated mathematical modeling of tumor dynamics, Bayesian inference for robust parameter estimation, comprehensive uncertainty quantification, and advanced sensitivity analysis. Leveraging real-world-inspired datasets from The Cancer Genome Atlas (TCGA), we simulate intricate tumor growth scenarios under hypothetical drug interventions targeting pivotal stem cell pathways, such as the SMYD3/c-MYC axis and Wnt/β-catenin signaling. The framework is meticulously designed to be rigorously scientific, fully reproducible, and empirically falsifiable, charting a clear pathway for experimental validation, preclinical testing, and eventual clinical translation. Embedded Python code facilitates simulations, Bayesian computations, and analyses, ensuring utmost transparency and verifiability. This integrative model heralds a significant breakthrough, empowering researchers and clinicians to navigate toward highly efficacious, personalized CRC treatments with unprecedented precision.
DOI: 10.5281/zenodo.17943595
title: A Conceptual Framework for Novel Therapeutic Discovery in Colorectal Cancer: Integrating Advanced Mathematical Modeling, Bayesian Inference, Sensitivity Analysis, and Uncertainty Quantification

description: This conceptual framework proposes a paradigm-shifting approach to discovering novel therapeutics for colorectal cancer (CRC) by seamlessly integrating sophisticated mathematical modeling of tumor dynamics, Bayesian inference for robust parameter estimation, comprehensive uncertainty quantification, and advanced sensitivity analysis. Leveraging real-world-inspired datasets from The Cancer Genome Atlas (TCGA), we simulate intricate tumor growth scenarios under hypothetical drug interventions targeting pivotal stem cell pathways, such as the SMYD3/c-MYC axis and Wnt/β-catenin signaling. The framework is meticulously designed to be rigorously scientific, fully reproducible, and empirically falsifiable, charting a clear pathway for experimental validation, preclinical testing, and eventual clinical translation. Embedded Python code facilitates simulations, Bayesian computations, and analyses, ensuring utmost transparency and verifiability. This integrative model heralds a significant breakthrough, empowering researchers and clinicians to navigate toward highly efficacious, personalized CRC treatments with unprecedented precision.
DOI: 10.15468/dl.abtbjw
title: Occurrence Download

description: A dataset listing the 15 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 {
 "or" : [
 "Geometry POLYGON((-77.965 0.195,-77.945 0.195,-77.945 0.215,-77.965 0.215,-77.965 0.195))",
 "Geometry POLYGON((-78.0234 0.16756,-77.89673 0.16756,-77.89673 0.29907,-78.0234 0.29907,-78.0234 0.16756))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anura"
 ]
}

 The dataset's 15 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054038-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/31116
title: Chandra X-ray Observatory ObsId 31116

description: SYSTEMATIC X-RAY STUDY OF THE SHORTEST-PERIOD BINARIES WITH ACCRETION DISKS
DOI: 10.5281/zenodo.14854611
title: EFFECT OF ILEAL  FECES  TRANSPLANTATION IN PREVENTING DIVERSION COLITIS AND ITS COMPLICATIONS DUE TO PROTECTIVE LOOP ILEOSTOMY IN RECTAL CANCER CASES
DOI: 10.5281/zenodo.14854610
title: EFFECT OF ILEAL  FECES  TRANSPLANTATION IN PREVENTING DIVERSION COLITIS AND ITS COMPLICATIONS DUE TO PROTECTIVE LOOP ILEOSTOMY IN RECTAL CANCER CASES
DOI: 10.7266/aw4g4dbg
title: Imagery Dataset covering Bayou Pointe-au-Chien, LA study area
DOI: 10.25574/43314
title: Chandra X-ray Observatory ObsId 43314
DOI: 10.17605/osf.io/tnc8u
title: Risk of bias assessments: Treatments for Morton's neuroma. Cochrane Database of Systematic Reviews.

description: Cochrane systematic review: RoB2 data
DOI: 10.6084/m9.figshare.30888269
title: Poa pratensis gene annotation in gff3 format

description: Poa pratensis (Kellogg 1297) genome assembly gene annotation in gff3 formation. Please cite Phillips and Seetharam et al. (2023). https://doi.org/10.1093/g3journal/jkad073
DOI: 10.6084/m9.figshare.30888269.v1
title: Poa pratensis gene annotation in gff3 format

description: Poa pratensis (Kellogg 1297) genome assembly gene annotation in gff3 formation. Please cite Phillips and Seetharam et al. (2023). https://doi.org/10.1093/g3journal/jkad073
DOI: 10.15468/dl.z5u5ar
title: Occurrence Download

description: A dataset containing 1479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((2.85879 43.05418,2.8638 43.05206,2.87013 43.05193,2.87224 43.05035,2.86987 43.0485,2.87172 43.04705,2.86684 43.0427,2.8667 43.04046,2.87 43.03822,2.87198 43.03215,2.8977 43.01935,2.90496 43.03123,2.9221 43.02358,2.92883 43.0245,2.93397 43.02358,2.94083 43.02476,2.94149 43.02832,2.95006 43.0307,2.95244 43.04468,2.944 43.04732,2.93793 43.04455,2.9349 43.04587,2.93846 43.05483,2.93674 43.05589,2.93687 43.06011,2.9374 43.0646,2.93978 43.07106,2.94189 43.07422,2.95297 43.07132,2.91854 43.08108,2.913 43.0799,2.89348 43.08227,2.88992 43.07924,2.882 43.07805,2.87515 43.07462,2.87 43.07356,2.86829 43.06341,2.86763 43.0613,2.86143 43.0576,2.85879 43.05418))",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 1479 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054039-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mn7dgu
title: Occurrence Download

description: A dataset containing 26457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Acer macrophyllum"
 ]
}

 The dataset includes 26457 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054040-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60520/ieda/114259
title: High-precision mafic glass analyses with trace elements, Concord University, version 2.5

description: Analytical method description file: This method was designed primarily for analysis of volcanic glasses (e.g. tephra and obsidians) and secondarily for silicate and oxide minerals by EPMA (electron probe microanalysis) using the ARL-SEMQ electron microprobe at Concord University. This descriptor utilizes the tephra community EPMA-SEM method template, an implementation of the Community-based Recommendations on Collection, Analysis and Correlation of Tephra Data. See also https://earthchem.org/communities/tephra/
DOI: 10.15468/dl.f3kn2m
title: Occurrence Download

description: A dataset containing 8466 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyaena hyaena"
 ]
}

 The dataset includes 8466 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054042-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.