cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30190210.v4
title: Motif Code Unification and TDCM Supplemental

description: Motif Code Theory (MCT): A Brief Overview Motif Code Theory (MCT), developed by William Terry, is a minimalist Theory of Everything (TOE) that unifies electromagnetism, weak and strong nuclear forces (Standard Model), gravity (General Relativity), cosmology (including dark matter/energy), and consciousness using three simple rules: countable motifs (basic units), local conserving rules (like energy-saving interactions), and permanent records (history logs). It models reality as evolving networks, matching 2025 data: universe expansion at 67.4–68.53 km/s/Mpc (Planck/DESI), neutrino mass &lt;0.45 eV (KATRIN), proton lifetime &gt;1.4×10^{34} years (Super-K), and brain scans showing higher integrated information (Φ &gt;1) during awareness (IIT tests). Predictions include quantum patterns (MIT 2027) and LHC imbalances (2026). It also boosts work efficiency by 25% (2025 studies). All details, including reproducible code, are on Figshare
DOI: 10.6084/m9.figshare.30191899
title: Motif Code Unification-supplementary code for Gravity ^0 QM.docx

description: This paper and supplementary file unifies gravity using Quantum Mechanics. Simulation data is in the supplementary file.
DOI: 10.6084/m9.figshare.30191899.v1
title: Motif Code Unification-supplementary code for Gravity ^0 QM.docx

description: This paper and supplementary file unifies gravity using Quantum Mechanics. Simulation data is in the supplementary file.
DOI: 10.6084/m9.figshare.30190210.v3
title: Motif Code Unification Supplemental Files

description: Motif Code Theory (MCT): A Brief Overview Motif Code Theory (MCT), developed by William Terry, is a minimalist Theory of Everything (TOE) that unifies electromagnetism, weak and strong nuclear forces (Standard Model), gravity (General Relativity), cosmology (including dark matter/energy), and consciousness using three simple rules: countable motifs (basic units), local conserving rules (like energy-saving interactions), and permanent records (history logs). It models reality as evolving networks, matching 2025 data: universe expansion at 67.4–68.53 km/s/Mpc (Planck/DESI), neutrino mass &lt;0.45 eV (KATRIN), proton lifetime &gt;1.4×10^{34} years (Super-K), and brain scans showing higher integrated information (Φ &gt;1) during awareness (IIT tests). Predictions include quantum patterns (MIT 2027) and LHC imbalances (2026). It also boosts work efficiency by 25% (2025 studies). All details, including reproducible code, are on Figshare
DOI: 10.6084/m9.figshare.30269749
title: 6. Motif Code Theory

description: The Motif Code Theory (MCT) simulation code, mct_unified_code.py, is a Python 3.9 script that models the universe as a time-dependent directed multigraph G(t) = (V(t), E(t)) with N=10^7 vertices (representing quantum fields/particles) and edges (interactions). It computes key observables, including graph entropy ( S(G) = 16.12 \pm 0.01 ), Ollivier-Ricci curvature ( \kappa \approx -0.01 \pm 0.001 ), sneutrino CP asymmetry ( \epsilon_i = 0.326 \pm 0.001 ), gravitino decay branching ratios, and cosmological parameters ( \eta_B = 6.9 \pm 0.1 \times 10^{-10} , \Omega h^2 = 0.120 \pm 0.005 ). Using NetworkX, PyTorch Geometric, CuGraph, and TensorNetwork, it optimizes simulations for a 12-hour runtime on 8 NVIDIA A100 GPUs with mean-field approximations and GNN sparsity. Bootstrap resampling (100,000 interactions) ensures uncertainties of order 0.001. The code generates data for Figures 1–5 (entropy dilution, Big Bounce, fractal motif, CP asymmetry, branching ratios) and validates predictions against 2025 data from Planck/DESI, LHC Run 3, LIGO/Virgo, JWST, and MADMAX.
DOI: 10.6084/m9.figshare.30269749.v3
title: 6. Motif Code Theory

description: The Motif Code Theory (MCT) simulation code, mct_unified_code.py, is a Python 3.9 script that models the universe as a time-dependent directed multigraph G(t) = (V(t), E(t)) with N=10^7 vertices (representing quantum fields/particles) and edges (interactions). It computes key observables, including graph entropy ( S(G) = 16.12 \pm 0.01 ), Ollivier-Ricci curvature ( \kappa \approx -0.01 \pm 0.001 ), sneutrino CP asymmetry ( \epsilon_i = 0.326 \pm 0.001 ), gravitino decay branching ratios, and cosmological parameters ( \eta_B = 6.9 \pm 0.1 \times 10^{-10} , \Omega h^2 = 0.120 \pm 0.005 ). Using NetworkX, PyTorch Geometric, CuGraph, and TensorNetwork, it optimizes simulations for a 12-hour runtime on 8 NVIDIA A100 GPUs with mean-field approximations and GNN sparsity. Bootstrap resampling (100,000 interactions) ensures uncertainties of order 0.001. The code generates data for Figures 1–5 (entropy dilution, Big Bounce, fractal motif, CP asymmetry, branching ratios) and validates predictions against 2025 data from Planck/DESI, LHC Run 3, LIGO/Virgo, JWST, and MADMAX.
DOI: 10.15468/dl.r5e44u
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus ovata",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053033-250920141307145/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.30269749.v2
title: 6. Motif Code Theory

description: The Motif Code Theory (MCT) simulation code, mct_unified_code.py, is a Python 3.9 script that models the universe as a time-dependent directed multigraph G(t) = (V(t), E(t)) with N=10^7 vertices (representing quantum fields/particles) and edges (interactions). It computes key observables, including graph entropy ( S(G) = 16.12 \pm 0.01 ), Ollivier-Ricci curvature ( \kappa \approx -0.01 \pm 0.001 ), sneutrino CP asymmetry ( \epsilon_i = 0.326 \pm 0.001 ), gravitino decay branching ratios, and cosmological parameters ( \eta_B = 6.9 \pm 0.1 \times 10^{-10} , \Omega h^2 = 0.120 \pm 0.005 ). Using NetworkX, PyTorch Geometric, CuGraph, and TensorNetwork, it optimizes simulations for a 12-hour runtime on 8 NVIDIA A100 GPUs with mean-field approximations and GNN sparsity. Bootstrap resampling (100,000 interactions) ensures uncertainties of order 0.001. The code generates data for Figures 1–5 (entropy dilution, Big Bounce, fractal motif, CP asymmetry, branching ratios) and validates predictions against 2025 data from Planck/DESI, LHC Run 3, LIGO/Virgo, JWST, and MADMAX.
DOI: 10.15468/dl.nppbh9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus ovata",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053034-250920141307145/datasets/export for details.
DOI: 10.15468/dl.6xk9vw
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Burhinus oedicnemus distinctus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 42 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053032-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jda8y
title: Occurrence Download

description: A dataset containing 22484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polypodiopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 30,120 30,120 60,90 60,90 30))"
 ]
}

 The dataset includes 22484 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053031-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h79h7h
title: Occurrence Download

description: A dataset containing 62991557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1971-2025"
 ]
}

 The dataset includes 62991557 records from 1424 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052919-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtnuxz
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mononeuria minima (Mack.) Dillenb. & Kadereit"
 ]
}

 The dataset includes 66 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076114-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e208606
title: Events Across the Life Course Contribute to Higher Mobility Impairment Rates in Rural U.S.

description: <b>Purpose</b><b>:</b> This paper investigates how
 life events such as injuries, health insurance coverage, geography, and
 occupation contribute to mobility disability rates over time. Findings can
 inform policies and practices to address factors that may contribute to disability
 in rural and urban areas.<br>
 <br>
 <b>Methods</b><b>:</b> We utilized
 27 waves of the National Longitudinal Survey of Youth (NLSY) data from 1979
 to 2016 to explore how past injury, occupation, health insurance coverage,
 and rurality predicted mobility impairment at ages 40 and 50 using regression
 analysis.<br>
 <br><b>
 </b><b>Findings</b><b>: </b>Rural
 respondents reported significantly higher rates of mobility impairment at age
 40 and age 50 relative to people living in urban areas, and were more likely
 to report injury, work in high exertion occupations, and experience several
 pain-related health conditions. Using logistic regression and controlling for
 race and education, we found that people had higher odds of experiencing
 mobility impairment at age 40 if they reported a broken bone in the last 10
 years, reported ever being knocked unconscious, had any workplace injury from
 1988 to 2000, or lived in a rural area. People reported lower odds of
 mobility impairment if they had more consistent health insurance coverage
 over time. Further analysis showed that people consistently uninsured over
 time were 91% more likely to report mobility impairment at age 40 than those
 consistently insured.<br>
 <br>
 <b>Conclusion</b><b>:</b> A better
 understanding of environmental factors associated with disability such as
 access to insurance, risk exposures, resources, and other place-based
 behaviors can inform additional strategies for reducing the severity and
 duration of mobility disability.
description: Presence of Common Scales: 
 Dichotomous
 variables (For mobility disability, injury, work limitation, health
 insurance, and rural environment)<br>
 Continuous variables (For occupational exertion and share of time with
 health insurance)
description: Nationally
 representative sample (Drawn from U.S. residents born between 1957 and 1964)
description: Residents
 of the United States (Specifically individuals born between 1957 and 1964). Smallest Geographic Unit: Metropolitan and nonmetropolitan (rural) counties (Used to classify respondents' living environments)
description: face-to-face interview; telephone interview; 
 Quantitative
 data (Includes responses to surveys, constructed variables, and health
 indicators)
DOI: 10.3886/e208606v1
title: Events Across the Life Course Contribute to Higher Mobility Impairment Rates in Rural U.S.

description: <b>Purpose</b><b>:</b> This paper investigates how
 life events such as injuries, health insurance coverage, geography, and
 occupation contribute to mobility disability rates over time. Findings can
 inform policies and practices to address factors that may contribute to disability
 in rural and urban areas.<br>
 <br>
 <b>Methods</b><b>:</b> We utilized
 27 waves of the National Longitudinal Survey of Youth (NLSY) data from 1979
 to 2016 to explore how past injury, occupation, health insurance coverage,
 and rurality predicted mobility impairment at ages 40 and 50 using regression
 analysis.<br>
 <br><b>
 </b><b>Findings</b><b>: </b>Rural
 respondents reported significantly higher rates of mobility impairment at age
 40 and age 50 relative to people living in urban areas, and were more likely
 to report injury, work in high exertion occupations, and experience several
 pain-related health conditions. Using logistic regression and controlling for
 race and education, we found that people had higher odds of experiencing
 mobility impairment at age 40 if they reported a broken bone in the last 10
 years, reported ever being knocked unconscious, had any workplace injury from
 1988 to 2000, or lived in a rural area. People reported lower odds of
 mobility impairment if they had more consistent health insurance coverage
 over time. Further analysis showed that people consistently uninsured over
 time were 91% more likely to report mobility impairment at age 40 than those
 consistently insured.<br>
 <br>
 <b>Conclusion</b><b>:</b> A better
 understanding of environmental factors associated with disability such as
 access to insurance, risk exposures, resources, and other place-based
 behaviors can inform additional strategies for reducing the severity and
 duration of mobility disability.
description: Presence of Common Scales: 
 Dichotomous
 variables (For mobility disability, injury, work limitation, health
 insurance, and rural environment)<br>
 Continuous variables (For occupational exertion and share of time with
 health insurance)
description: Nationally
 representative sample (Drawn from U.S. residents born between 1957 and 1964)
description: Residents
 of the United States (Specifically individuals born between 1957 and 1964). Smallest Geographic Unit: Metropolitan and nonmetropolitan (rural) counties (Used to classify respondents' living environments)
description: face-to-face interview; telephone interview; 
 Quantitative
 data (Includes responses to surveys, constructed variables, and health
 indicators)
DOI: 10.6084/m9.figshare.26790211
title: C-SPAN Data .xlsx

description: Millions of Americans are occasional or regular viewers of C-SPAN for information about the U.S. Congress. The cable service works closely with Congressional leaders to provide non-partisan, gavel-to-gavel coverage of legislative activities. In 2023, the rules for camera coverage were temporarily changed. This unique historic moment offered a chance to test an emerging theory, “embodied gatekeeping,” which describes how those who control physical space shape their literal and public image by exerting power over visual journalists. We conducted an experiment using C-SPAN coverage on the same topic, Speaker of the House proceedings, comparing coverage with looser camera controls and the more typical, constrained camera rules associated with embodied gatekeeping. We found that when cameras are controlled by humans using news judgment, viewers benefit by liking the videos more, paying more attention, comprehending more, and becoming more engaged. This happens because of a sense of presence, or “being there.”
DOI: 10.6084/m9.figshare.26790211.v2
title: C-SPAN Data .xlsx

description: Millions of Americans are occasional or regular viewers of C-SPAN for information about the U.S. Congress. The cable service works closely with Congressional leaders to provide non-partisan, gavel-to-gavel coverage of legislative activities. In 2023, the rules for camera coverage were temporarily changed. This unique historic moment offered a chance to test an emerging theory, “embodied gatekeeping,” which describes how those who control physical space shape their literal and public image by exerting power over visual journalists. We conducted an experiment using C-SPAN coverage on the same topic, Speaker of the House proceedings, comparing coverage with looser camera controls and the more typical, constrained camera rules associated with embodied gatekeeping. We found that when cameras are controlled by humans using news judgment, viewers benefit by liking the videos more, paying more attention, comprehending more, and becoming more engaged. This happens because of a sense of presence, or “being there.”
DOI: 10.6084/m9.figshare.26790211.v1
title: C-SPAN Data .xlsx

description: Millions of Americans are occasional or regular viewers of C-SPAN for information about the U.S. Congress. The cable service works closely with Congressional leaders to provide non-partisan, gavel-to-gavel coverage of legislative activities. In 2023, the rules for camera coverage were temporarily changed. This unique historic moment offered a chance to test an emerging theory, “embodied gatekeeping,” which describes how those who control physical space shape their literal and public image by exerting power over visual journalists. We conducted an experiment using C-SPAN coverage on the same topic, Speaker of the House proceedings, comparing coverage with looser camera controls and the more typical, constrained camera rules associated with embodied gatekeeping. We found that when cameras are controlled by humans using news judgment, viewers benefit by liking the videos more, paying more attention, comprehending more, and becoming more engaged. This happens because of a sense of presence, or “being there.”
DOI: 10.15468/dl.b6hrfw
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Holocentropus glacialis Ross, 1938"
 ]
}

 The dataset includes 60 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076115-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc8n298
title: CCDC 257619: Experimental Crystal Structure Determination

description: Related Article: Jing-Min Shi, Wei-Nan Li, Fen-Xia Zhang, Xia Zhang, Lian-Dong Liu|2007|Jiegou Huaxue|26|118|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc98dvs
title: CCDC 276205: Experimental Crystal Structure Determination

description: Related Article: Jing-Min Shi, Wei-Nan Li, Fen-Xia Zhang, Xia Zhang, Lian-Dong Liu|2007|Jiegou Huaxue|26|118|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccqd4rz
title: CCDC 667081: Experimental Crystal Structure Determination

description: Related Article: Yi-Cheng Shen, Pei-Xiu Yin, Zhao-Ji Li, Ye-Yan Qin, Yuan-Gen Yao|2007|Jiegou Huaxue|26|1345|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccw1qj4
title: CCDC 806016: Experimental Crystal Structure Determination

description: Related Article: Li-Feng Wang, Yun-Xia Hu, Wen-Wei Zhang, Xiao-Ming Ren|2011|Wuji Huaxue Xuebao|27|542|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.n8vynn
title: Occurrence Download

description: A dataset containing 11181417 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Chile"
 ]
}

 The dataset includes 11181417 records from 2095 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076107-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive131658.20241212.9.2
title: Bradyrhizobium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131659.20241212.9.2
title: Brevibacillus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131662.20241212.9.2
title: Brevundimonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131663.20241212.9.2
title: Brevundimonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131664.20241212.9.2
title: Brevundimonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131665.20241212.9.2
title: Brevundimonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131666.20241212.9.2
title: Burkholderia sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131667.20241212.9.2
title: Caulobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131668.20241212.9.2
title: Caulobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131669.20241212.9.2
title: Caulobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131670.20241212.9.2
title: Caulobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131671.20241212.9.2
title: Caulobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131672.20241212.9.2
title: Chryseobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.