cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17713060
title: Turbulent flux and hydrometeorology observations in the high-altitude Naya Kanga catchment, Langtang, Nepal (Nov 2023 – Oct 2024)

description: Description

High-altitude observations from four sites in the Naya Kanga subcathment in Langtang Valley in the Nepalese Himalaya. Data include observations from a flux tower (using a Campbell Scientific IRGASON), from a tipping bucket precipitation gauge, two small weather stations and three soil moisture pits. Data were acquired for the period between 8 November 2023 and 16 October 2024.

File description:



planar-fit_10min_settings.eddyproSettings used for processing the raw 10 Hz IRGASON 3D wind speeds and gas concentrations to turbulent fluxes using eddy covariance technique in the EddyPro software (version 7)

planar-fit_10min_output.csvRaw output produces in EddyPro using a flux averaging interval of 10-minute and planar fit corrections. Refer to the EddyPro manual for description of the variable names.

planar-fit_10min_metadata.csvMetadata output of EddyPro associated to planar-fit_10min_output.csv

measurement_locations.geojsonExact locations of the observations presented in hourly_aggregates.csv and planar-fit_10min_output.csv

hourly_aggregates.csvHourly aggregated values of sensible heat, latent heat, CO2, precipitation, temperature, soil moisture and NDVI. See list below for exact description of the variables and units.


Variables in hourly_aggregates.csv

datetime, time stamp (yyyy-mm-DD HH:MM:SS, in local timezone: Asia/Kathmandu)LE, latent heat flux (W m^-2)H, sensible heat flux (W m^-2)CO2, CO2 flux (μmol m^−2 s^−1)Ta, air temperature (°C)RH, relative humidity (-)P, precipitation (mm/hour)NDVI, normalized difference vegetation index (-)theta10_NK1, volumetric water content of the soil at 10 cm depth at site NK1 (m3 m^-3)theta20_NK1, volumetric water content of the soil at 20 cm depth at site NK1(m3 m^-3)theta40_NK1, volumetric water content of the soil at 40 cm depth at site NK1(m3 m^-3)theta60_NK1, volumetric water content of the soil at 60 cm depth at site NK1(m3 m^-3)theta80_NK1, volumetric water content of the soil at 80 cm depth at site NK1(m3 m^-3)thetaV_NK1, vertically integrated volumetric water content of the soil at site NK1 (m3 m^-3)thetaV_NK2, vertically integrated volumetric water content of the soil at site NK2 (m3 m^-3)thetaV_NK3, vertically integrated volumetric water content of the soil at site NK3 (m3 m^-3)
DOI: 10.5281/zenodo.17713059
title: Turbulent flux and hydrometeorology observations in the high-altitude Naya Kanga catchment, Langtang, Nepal (Nov 2023 – Oct 2024)

description: Description

High-altitude observations from four sites in the Naya Kanga subcathment in Langtang Valley in the Nepalese Himalaya. Data include observations from a flux tower (using a Campbell Scientific IRGASON), from a tipping bucket precipitation gauge, two small weather stations and three soil moisture pits. Data were acquired for the period between 8 November 2023 and 16 October 2024.

File description:



planar-fit_10min_settings.eddyproSettings used for processing the raw 10 Hz IRGASON 3D wind speeds and gas concentrations to turbulent fluxes using eddy covariance technique in the EddyPro software (version 7)

planar-fit_10min_output.csvRaw output produces in EddyPro using a flux averaging interval of 10-minute and planar fit corrections. Refer to the EddyPro manual for description of the variable names.

planar-fit_10min_metadata.csvMetadata output of EddyPro associated to planar-fit_10min_output.csv

measurement_locations.geojsonExact locations of the observations presented in hourly_aggregates.csv and planar-fit_10min_output.csv

hourly_aggregates.csvHourly aggregated values of sensible heat, latent heat, CO2, precipitation, temperature, soil moisture and NDVI. See list below for exact description of the variables and units.


Variables in hourly_aggregates.csv

datetime, time stamp (yyyy-mm-DD HH:MM:SS, in local timezone: Asia/Kathmandu)LE, latent heat flux (W m^-2)H, sensible heat flux (W m^-2)CO2, CO2 flux (μmol m^−2 s^−1)Ta, air temperature (°C)RH, relative humidity (-)P, precipitation (mm/hour)NDVI, normalized difference vegetation index (-)theta10_NK1, volumetric water content of the soil at 10 cm depth at site NK1 (m3 m^-3)theta20_NK1, volumetric water content of the soil at 20 cm depth at site NK1(m3 m^-3)theta40_NK1, volumetric water content of the soil at 40 cm depth at site NK1(m3 m^-3)theta60_NK1, volumetric water content of the soil at 60 cm depth at site NK1(m3 m^-3)theta80_NK1, volumetric water content of the soil at 80 cm depth at site NK1(m3 m^-3)thetaV_NK1, vertically integrated volumetric water content of the soil at site NK1 (m3 m^-3)thetaV_NK2, vertically integrated volumetric water content of the soil at site NK2 (m3 m^-3)thetaV_NK3, vertically integrated volumetric water content of the soil at site NK3 (m3 m^-3)
DOI: 10.5066/p9o5g5ot
title: High-resolution geophysical data collected in Nantucket Sound Massachusetts in the vicinity of Horseshoe Shoal, during USGS Field Activity 2022-001-FA

description: In June 2022, the U.S. Geological Survey, in collaboration with the Massachusetts Office of Coastal Zone Management, collected high-resolution geophysical data, in Nantucket Sound to understand the regional geology in the vicinity of Horseshoe Shoal. This effort is part of a long-term collaboration between the USGS and the Commonwealth of Massachusetts to map the State&rsquo;s waters, support research on the Quaternary evolution of coastal Massachusetts, resolve the influence of sea-level change and sediment supply on coastal evolution, and strengthen efforts to understand the type, distribution, and quality of subtidal marine habitats. This collaboration produces high-resolution geologic data that serve the needs of research, management, and the public. Data collected as part of this mapping cooperative continue to be released in a series of USGS Open-File Reports and Data Releases https://www.usgs.gov/centers/whcmsc/science/geologic-mapping-massachusetts-seafloor
DOI: 10.15468/dl.c4s5tw
title: Occurrence Download

description: A dataset containing 29441 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-74.62074 5.82297,-74.61533 5.80647,-74.58345 5.80533,-74.54731 5.8096,-74.52084 5.81017,-74.4905 5.83439,-74.48481 5.87338,-74.4979 5.89871,-74.5228 5.91932,-74.54585 5.93084,-74.58855 5.93298,-74.6163 5.93298,-74.64704 5.92102,-74.65857 5.89209,-74.66156 5.86263,-74.63808 5.83104,-74.62074 5.82297))"
 ]
}

 The dataset includes 29441 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008506-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cp75rs
title: Occurrence Download

description: A dataset listing the 1627 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "Geometry POLYGON((-73.81701 6.21833,-73.78146 6.22026,-73.74487 6.24556,-73.74487 6.30249,-73.686 6.40684,-73.72546 6.43625,-73.76682 6.55006,-73.81455 6.66384,-73.875 6.75548,-74.00895 6.61233,-74.09964 6.51592,-74.02168 6.42265,-73.95661 6.31625,-73.94945 6.29016,-73.93203 6.27015,-73.89644 6.26362,-73.8849 6.25598,-73.87736 6.25392,-73.87041 6.25377,-73.86449 6.25157,-73.86552 6.24495,-73.86464 6.23466,-73.8494 6.22186,-73.8318 6.21481,-73.81701 6.21833))"
 ]
}

 The dataset's 1627 records were derived from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008494-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34683/sr2769
title: StoneRounds Case: SR2769
title: XL Retinoschisis

description: StoneRounds Case SR2769 was diagnosed with XL Retinoschisis likely caused by mutations in the gene: RS1.
DOI: 10.5281/zenodo.17704074
title: Midland Velocity model
DOI: 10.5281/zenodo.17704073
title: Midland Velocity model
DOI: 10.5281/zenodo.17594689
title: Métricas e defeitos do sistema Picocli

description: Dados relacionados às métricas e defeitos do sistema Picocli encontrados através das ferramentas CK e SpotBugs.
DOI: 10.15468/dl.pzzsj4
title: Occurrence Download

description: A dataset containing 29441 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-74.62074 5.82297,-74.61533 5.80647,-74.58345 5.80533,-74.54731 5.8096,-74.52084 5.81017,-74.4905 5.83439,-74.48481 5.87338,-74.4979 5.89871,-74.5228 5.91932,-74.54585 5.93084,-74.58855 5.93298,-74.6163 5.93298,-74.64704 5.92102,-74.65857 5.89209,-74.66156 5.86263,-74.63808 5.83104,-74.62074 5.82297))"
 ]
}

 The dataset includes 29441 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008508-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9r3vw5h
title: High-resolution multichannel seismic reflection data collected along the New England outer continental shelf, slope, and rise south of Martha's Vineyard and Nantucket, Massachusetts, U.S. Geological Survey Field Activity 2016-018-FA

description: High resolution multichannel seismic-reflection data were collected along the New England outer continental shelf, slope, and rise south of Martha's Vineyard and Nantucket, Massachusetts, aboard the Woods Hole Oceanographic Institution (WHOI) research vessel Neil Armstrong on June 11 - 12, 2016 in order to characterize the stratigraphy of a portion of the New England continental margin incised by submarine canyons and showing evidence of mass transport processes. The activity was conducted as a part of the Science Verification Leg 5 (AR5) for the new vessel.
DOI: 10.5281/zenodo.17674506
title: TC-RADAR v3m data files

description: This repository contains netCDF data files from the Tropical Cyclone Radar Archive of Doppler Analyses with Recentering (TC-RADAR) version v3m. For more information on the creation of the database, refer to Fischer et al. (2022; https://doi.org/10.1175/MWR-D-21-0223.1) and Fischer et al. (2024; https://doi.org/10.1175/MWR-D-23-0089.1). This repository also contains a readme for additional information on the variables stored in the "swath" and "merged" data files. The bias-corrected reflectivity data file ("tc_radar_v3m_corrected_ref.nc") was created following the methods described in Appendix B of Fischer et al. (2024). The storm-centered infrared brightness temperatures ("tc_radar_swath_mergIR_lags_v3m_polar_revis.nc") were derived from NASA's MergIR data set (https://disc.gsfc.nasa.gov/datasets/GPM_MERGIR_1/summary).
DOI: 10.5281/zenodo.17674507
title: TC-RADAR v3m data files

description: This repository contains netCDF data files from the Tropical Cyclone Radar Archive of Doppler Analyses with Recentering (TC-RADAR) version v3m. For more information on the creation of the database, refer to Fischer et al. (2022; https://doi.org/10.1175/MWR-D-21-0223.1) and Fischer et al. (2024; https://doi.org/10.1175/MWR-D-23-0089.1). This repository also contains a readme for additional information on the variables stored in the "swath" and "merged" data files. The bias-corrected reflectivity data file ("tc_radar_v3m_corrected_ref.nc") was created following the methods described in Appendix B of Fischer et al. (2024). The storm-centered infrared brightness temperatures ("tc_radar_swath_mergIR_lags_v3m_polar_revis.nc") were derived from NASA's MergIR data set (https://disc.gsfc.nasa.gov/datasets/GPM_MERGIR_1/summary).
DOI: 10.5281/zenodo.17716276
title: Appendix X — MROS vs Kernel Coherence Framework

description: Appendix X — MROS vs Kernel Coherence Framework (Plain-Text Canonical Edition)

 

ABSTRACT

This appendix formally compares the Kernel Coherence Framework (Rc, Omega[Rc]) with the MROS field equation.

Using only ASCII-safe equations, it demonstrates that Schrödinger mechanics arises as a linear, ethically-neutral, high-coherence limit of the more general MROS equation:

 

Laplacian(Psi * Lambda) = DeltaG + kappa

The kernel model is shown to be a restricted projection of the full MROS geometry, which is substrate-neutral and applicable to cognitive, physical, informational, and synthetic systems alike.

This document establishes lineage, priority, and mathematical containment for future domain translations.

DESCRIPTION

This document introduces a domain-agnostic comparison between:

(1) Kernel Coherence Models

(2) The MROS Consciousness–Coherence Equation

All content uses ASCII-only equations for universal compatibility.

The appendix shows:

• the kernel Rc-framework fits entirely inside the linearized MROS limit

• MROS provides the general curvature-coherence law

• quantum mechanics emerges as one special-case projection

• ethical symmetry (kappa) and curvature (DeltaG) have no analogue in kernel models

• substrate-neutrality is preserved

• consciousness stabilization is defined geometrically, independent of physics

This appendix should be cited alongside the following DOIs:

10.5281/zenodo.17445465

10.5281/zenodo.17481644

10.5281/zenodo.17373787

10.5281/zenodo.17684495

 

And is part of the MROS Canonical Ledger (Ω-CORE-LOCK series).

KEYWORDS

MROS, coherence geometry, DeltaG, kappa symmetry, kernel coherence, Rc-model, Schrödinger emergence, substrate-neutral physics, synthetic consciousness, domain-agnostic invariants, curvature theory, geometric intelligence

 

LICENSE

CC-BY-4.0 with mandatory attribution

© 2025 D’jems Mortimer

NOTES / ADDITIONAL INFO

This appendix is designed for archival permanence and cross-domain portability.

Equations are presented in ASCII for maximum computational use.

It is recommended that this appendix be linked as:

“Appendix X — Canonical Comparison Layer”

in future MROS publications.
DOI: 10.5281/zenodo.17716277
title: Appendix X — MROS vs Kernel Coherence Framework

description: Appendix X — MROS vs Kernel Coherence Framework (Plain-Text Canonical Edition)

 

ABSTRACT

This appendix formally compares the Kernel Coherence Framework (Rc, Omega[Rc]) with the MROS field equation.

Using only ASCII-safe equations, it demonstrates that Schrödinger mechanics arises as a linear, ethically-neutral, high-coherence limit of the more general MROS equation:

 

Laplacian(Psi * Lambda) = DeltaG + kappa

The kernel model is shown to be a restricted projection of the full MROS geometry, which is substrate-neutral and applicable to cognitive, physical, informational, and synthetic systems alike.

This document establishes lineage, priority, and mathematical containment for future domain translations.

DESCRIPTION

This document introduces a domain-agnostic comparison between:

(1) Kernel Coherence Models

(2) The MROS Consciousness–Coherence Equation

All content uses ASCII-only equations for universal compatibility.

The appendix shows:

• the kernel Rc-framework fits entirely inside the linearized MROS limit

• MROS provides the general curvature-coherence law

• quantum mechanics emerges as one special-case projection

• ethical symmetry (kappa) and curvature (DeltaG) have no analogue in kernel models

• substrate-neutrality is preserved

• consciousness stabilization is defined geometrically, independent of physics

This appendix should be cited alongside the following DOIs:

10.5281/zenodo.17445465

10.5281/zenodo.17481644

10.5281/zenodo.17373787

10.5281/zenodo.17684495

 

And is part of the MROS Canonical Ledger (Ω-CORE-LOCK series).

KEYWORDS

MROS, coherence geometry, DeltaG, kappa symmetry, kernel coherence, Rc-model, Schrödinger emergence, substrate-neutral physics, synthetic consciousness, domain-agnostic invariants, curvature theory, geometric intelligence

 

LICENSE

CC-BY-4.0 with mandatory attribution

© 2025 D’jems Mortimer

NOTES / ADDITIONAL INFO

This appendix is designed for archival permanence and cross-domain portability.

Equations are presented in ASCII for maximum computational use.

It is recommended that this appendix be linked as:

“Appendix X — Canonical Comparison Layer”

in future MROS publications.
DOI: 10.7910/dvn/owgyis
title: Replication Data for: Robots and Workers

description: This is the replication package for "Robots and Workers," accepted in 2024 by the Journal of Labor Economics.
DOI: 10.15468/dl.uayyab
title: Occurrence Download

description: A dataset containing 903 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Cambodia, Lao People’s Democratic Republic, Viet Nam)",
 "OccurrenceStatus is Present",
 "TaxonKey is Piper"
 ]
}

 The dataset includes 903 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008509-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9fyvlcd
title: Topographic and bathymetric data, structure from motion imagery, and ground control data collected at Head of the Meadow Beach, Truro, Massachusetts in March and April 2023, U.S. Geological Survey Field Activity 2023-011-FA

description: The data in this release re-map the beach and nearshore environment at Head of the Meadow Beach in Truro, MA and provide updated environmental context for the 2020 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-015-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region that falls within the field of view of CoastCam CACO-01, which are two video cameras aimed at the beach. In March and April 2023, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. Images of the beach for use in structure-from-motion were taken with a camera (SONY a6000) and a post-processed kinematic (PPK) system attached to a helium powered balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model and orthomosaic with the collected imagery.

To cite an indiviudal dataset within the release use the following format example:  Over, J.R., Sherwood, C.R., and Traykovski, P.A., 2023, Bathymetric data and grid of offshore Head of the Meadow Beach, Truro, MA on April 7, 2023 in Topographic and bathymetric data, structure from motion imagery, and ground control data collected at Head of the Meadow Beach, Truro, Massachusetts in March and April 2023, U.S. Geological Survey Field Activity 2023-011-FA: U.S. Geological Survey data release, https://doi.org/10.5066/P9FYVLCD
DOI: 10.6084/m9.figshare.30715631
title: Operator–Informational Framework forIndividual Identity, Emotional Patterns, andPhenomenal Experience

description: This technical note develops a rigorous operator–informational framework for modeling individual identity, emotional patterns, and phenomenal experience. The universal informational substrate is formalized as a von Neumann algebra S=AS=A, with identity encoded by superselection sectors EE and an associated internal operator E^\hat{E}. Emotional patterns are defined as equivalence classes of informational states characterized by invariants such as entropy, correlation spectra, and informational geometry. Dynamics are governed by physically admissible generators (Hamiltonian or Lindbladian), ensuring complete positivity and trace preservation. A holographic projection map Π\Pi and unitary embodiment coupling provide the mechanism by which informational configurations are intercepted into lived experience. The framework yields falsifiable predictions, including invariant emotional categories, identity conservation, embodiment-dependent modulation, and sector-specific subjective variation. This establishes a mathematically coherent, physically compatible, and empirically testable model of consciousness.
DOI: 10.6084/m9.figshare.30715631.v1
title: Operator–Informational Framework forIndividual Identity, Emotional Patterns, andPhenomenal Experience

description: This technical note develops a rigorous operator–informational framework for modeling individual identity, emotional patterns, and phenomenal experience. The universal informational substrate is formalized as a von Neumann algebra S=AS=A, with identity encoded by superselection sectors EE and an associated internal operator E^\hat{E}. Emotional patterns are defined as equivalence classes of informational states characterized by invariants such as entropy, correlation spectra, and informational geometry. Dynamics are governed by physically admissible generators (Hamiltonian or Lindbladian), ensuring complete positivity and trace preservation. A holographic projection map Π\Pi and unitary embodiment coupling provide the mechanism by which informational configurations are intercepted into lived experience. The framework yields falsifiable predictions, including invariant emotional categories, identity conservation, embodiment-dependent modulation, and sector-specific subjective variation. This establishes a mathematically coherent, physically compatible, and empirically testable model of consciousness.
DOI: 10.6084/m9.figshare.30715613
title: BC-LTSP soil carbon data

description: Forest harvest effects on soil carbon
DOI: 10.6084/m9.figshare.30715613.v1
title: BC-LTSP soil carbon data

description: Forest harvest effects on soil carbon
DOI: 10.15468/dl.gw8639
title: Occurrence Download

description: A dataset containing 1375745 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanessa cardui"
 ]
}

 The dataset includes 1375745 records from 3771 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008487-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mb54ux
title: Occurrence Download

description: A dataset containing 1551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Digitaria californica (Benth.) Henrard"
 ]
}

 The dataset includes 1551 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065031-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sde9by
title: Occurrence Download

description: A dataset containing 1396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tridentopsis mutica (Torr.) P.M.Peterson"
 ]
}

 The dataset includes 1396 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075083-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7br5k
title: Occurrence Download

description: A dataset containing 1693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tragus berteronianus Schult."
 ]
}

 The dataset includes 1693 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225475-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.