cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17613355
title: FUNt — Golden Python Play Model (φ⁷ Edition)

description: ABSTRACT

The FUNt Golden Python Play Model (φ⁷ Edition) demonstrates that a wide family of mathematical constants 

— including φ, φ⁷, silver, supersilver, metallic means, plastic, supergolden, and custom bosonic inputs 

— all collapse into the same universal geometric behavior when expressed through the Golden-Resonance Spiral.

This behavior is shown through a reproducible Python tool (v5.0) optimized for tablets and low-compute (mobile) devices, revealing a structural equivalence across constants traditionally treated as distinct.

The purpose of this paper is to:

Document the discovery.

Present  the underlying algebra.

Provide  a public reference version suitable for;

 Zenodo DOI archiving.

 

1. INTRODUCTION

Most mathematical constants appear isolated 

— each with its own history, origin, and symbolic niche. 

Yet when examined through the lens of geometric resonance, many of these constants reveal a unified behavior.

 

The FUNt Golden Python Play Model v5.0, emerged from an engineer’s intuition, refined through computational visualization: 'Pattern Recognition'

 

'If nature uses a pattern once, it will use it again wherever alignment is possible.'
DOI: 10.15468/dl.93592z
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.5188 23.24913, -107.3688 23.24913, -107.3688 23.39913, -107.5188 23.39913, -107.5188 23.24913))"
 ]
}

 The dataset includes 178 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034577-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d78h4d
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cantua longifolia"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034578-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fz3xgd
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cantua ovata"
 ]
}

 The dataset includes 25 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034579-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjqt8w
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monnina conferta"
 ]
}

 The dataset includes 108 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034580-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.23395.21281
title: GL STEPS Analysis of PERS049-1S4 241 1 18 Real World Data by the Persian Curve (PC) GL STEP 07 PERSIAN QUANTILE COMPLETE
DOI: 10.15468/dl.rgxepq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gobio occitaniae",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034581-251025141854904/datasets/export for details.
DOI: 10.6084/m9.figshare.30626072
title: Ill-structured problems in capstone courses – investigating students’ approaches and experience

description: This qualitative study investigates how students work with ill-structured problems in a capstone course, how they experience the problem-solving process, and how they use different types of scaffolding in this process. The analysis of interviews with student teams shows that their problem-solving process diverges from the recommendations of most problem-solving techniques. In particular, less time is spent on problem definition, and iterations between different parts of the problem-solving process are limited. The student teams seek scaffolding when they do not know what to do. While many teams start by consulting course materials (hard scaffolding), teams that experience uncertainty or stress in these situations often seek mentor support (soft scaffolding). These insights into the interlinkage between students’ experience and their use of scaffolding when working with ill-structured problems can inform course design as well as mentoring practice.
DOI: 10.6084/m9.figshare.30626072.v1
title: Ill-structured problems in capstone courses – investigating students’ approaches and experience

description: This qualitative study investigates how students work with ill-structured problems in a capstone course, how they experience the problem-solving process, and how they use different types of scaffolding in this process. The analysis of interviews with student teams shows that their problem-solving process diverges from the recommendations of most problem-solving techniques. In particular, less time is spent on problem definition, and iterations between different parts of the problem-solving process are limited. The student teams seek scaffolding when they do not know what to do. While many teams start by consulting course materials (hard scaffolding), teams that experience uncertainty or stress in these situations often seek mentor support (soft scaffolding). These insights into the interlinkage between students’ experience and their use of scaffolding when working with ill-structured problems can inform course design as well as mentoring practice.
DOI: 10.6084/m9.figshare.30626073
title: Application of Raman and ATR-MIR Spectroscopy in Colorectal Cancer Diagnosis Combined with Chemometrics Techniques: A Review

description: Colorectal Cancer (CC) is recognized as the third most prevalent cancer worldwide and constitutes a major cause of cancer-related fatalities among both genders. Current diagnostic approaches for CC exhibit several notable limitations; they are frequently invasive, their accuracy may vary based on the operator and the patient, and they might lack sufficient precision. Raman Spectroscopy (RS) and Infrared (IR) spectroscopy have surfaced as promising alternatives owing to their potential as swift and noninvasive diagnostic modalities. Nevertheless, spectroscopic methods produce extensive and intricate datasets characterized by overlapping peaks and subtle differences, which complicates direct visual interpretation. This review is dedicated to examining the chemometric techniques utilized in RS and IR spectroscopy for the diagnosis and evaluation of CC. Throughout this paper, we explore the experimental applications of chemometrics in conjunction with RS and IR spectroscopy. Chemometric algorithms, when integrated with RS and IR spectroscopy, have demonstrated their efficacy as robust tools for the detection, classification, and analysis of various colorectal cancer matrices. Indeed, it has been shown how chemometrics can be effectively applied in a variety of CC analysis. Raman and ATR-MIR spectroscopy proves to be an effective tool for the detection and diagnosis of colorectal cancer.This technique can reveal biochemical alterations linked to colorectal cancer.The application of chemometrics analysis enhances the method’s effectiveness in colorectal cancer diagnosis.A proposed approach for universal colorectal cancer identification is introduced. Raman and ATR-MIR spectroscopy proves to be an effective tool for the detection and diagnosis of colorectal cancer. This technique can reveal biochemical alterations linked to colorectal cancer. The application of chemometrics analysis enhances the method’s effectiveness in colorectal cancer diagnosis. A proposed approach for universal colorectal cancer identification is introduced.
DOI: 10.6084/m9.figshare.30626073.v1
title: Application of Raman and ATR-MIR Spectroscopy in Colorectal Cancer Diagnosis Combined with Chemometrics Techniques: A Review

description: Colorectal Cancer (CC) is recognized as the third most prevalent cancer worldwide and constitutes a major cause of cancer-related fatalities among both genders. Current diagnostic approaches for CC exhibit several notable limitations; they are frequently invasive, their accuracy may vary based on the operator and the patient, and they might lack sufficient precision. Raman Spectroscopy (RS) and Infrared (IR) spectroscopy have surfaced as promising alternatives owing to their potential as swift and noninvasive diagnostic modalities. Nevertheless, spectroscopic methods produce extensive and intricate datasets characterized by overlapping peaks and subtle differences, which complicates direct visual interpretation. This review is dedicated to examining the chemometric techniques utilized in RS and IR spectroscopy for the diagnosis and evaluation of CC. Throughout this paper, we explore the experimental applications of chemometrics in conjunction with RS and IR spectroscopy. Chemometric algorithms, when integrated with RS and IR spectroscopy, have demonstrated their efficacy as robust tools for the detection, classification, and analysis of various colorectal cancer matrices. Indeed, it has been shown how chemometrics can be effectively applied in a variety of CC analysis. Raman and ATR-MIR spectroscopy proves to be an effective tool for the detection and diagnosis of colorectal cancer.This technique can reveal biochemical alterations linked to colorectal cancer.The application of chemometrics analysis enhances the method’s effectiveness in colorectal cancer diagnosis.A proposed approach for universal colorectal cancer identification is introduced. Raman and ATR-MIR spectroscopy proves to be an effective tool for the detection and diagnosis of colorectal cancer. This technique can reveal biochemical alterations linked to colorectal cancer. The application of chemometrics analysis enhances the method’s effectiveness in colorectal cancer diagnosis. A proposed approach for universal colorectal cancer identification is introduced.
DOI: 10.5281/zenodo.17613828
title: NCD Motor
DOI: 10.5281/zenodo.17613829
title: NCD Motor
DOI: 10.15468/dl.h38t7t
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.3688 23.24913, -107.2188 23.24913, -107.2188 23.39913, -107.3688 23.39913, -107.3688 23.24913))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034582-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4c65my
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gobionellus oceanicus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034583-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dbrqw
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.2188 23.24913, -107.0688 23.24913, -107.0688 23.39913, -107.2188 23.39913, -107.2188 23.24913))"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034584-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.679t8f
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monnina macrostachya"
 ]
}

 The dataset includes 166 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034585-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kw6zcf
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monnina polygonoides"
 ]
}

 The dataset includes 34 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034586-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu26rj
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coccoloba gracilis"
 ]
}

 The dataset includes 36 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034587-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6u6ntu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gobiopterus semivestitus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034588-251025141854904/datasets/export for details.
DOI: 10.15468/dl.k2c5r4
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.0688 23.24913, -106.9188 23.24913, -106.9188 23.39913, -107.0688 23.39913, -107.0688 23.24913))"
 ]
}

 The dataset includes 35 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034589-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdxkxw
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coccoloba nutans"
 ]
}

 The dataset includes 50 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034590-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4e444
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grundulus bogotensis",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 221 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034591-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnrts9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.9188 23.24913, -106.7688 23.24913, -106.7688 23.39913, -106.9188 23.39913, -106.9188 23.24913))"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034592-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aq6wfw
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruprechtia albida"
 ]
}

 The dataset includes 29 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034593-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79q2gr
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruprechtia aperta"
 ]
}

 The dataset includes 65 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034594-251025141854904/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.29626016
title: Data for COMMSBIO-25-6407-T

description: Permafrost and vegetation type changes in Northeast China (2000-2024)
DOI: 10.6084/m9.figshare.29626016.v2
title: Data for COMMSBIO-25-6407-T

description: Permafrost and vegetation type changes in Northeast China (2000-2024)
DOI: 10.6084/m9.figshare.29626016.v1
title: Permafrost and vegetation type changes in Northeast China (2000-2024)

description: Permafrost and vegetation type changes in Northeast China (2000-2024)
DOI: 10.15468/dl.b36ab2
title: Occurrence Download

description: A dataset containing 189864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((75 31, 77 31, 77 32, 75 32, 75 31))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 189864 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034524-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsrt2t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnocephalus cernua",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034595-251025141854904/datasets/export for details.
DOI: 10.15468/dl.kb5tbc
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cistanthe lingulata"
 ]
}

 The dataset includes 30 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034596-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcgtq3
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.7688 23.24913, -106.6188 23.24913, -106.6188 23.39913, -106.7688 23.39913, -106.7688 23.24913))"
 ]
}

 The dataset includes 106 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034597-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuazxx
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cistanthe paniculata"
 ]
}

 The dataset includes 142 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034598-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vex85f
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnocorymbus ternetzi",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034599-251025141854904/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.30085783
title: <b>Data support</b>

description: Properties
DOI: 10.6084/m9.figshare.30085783.v9
title: <b>Data support</b>

description: Properties
DOI: 10.6084/m9.figshare.30085783.v8
title: <b>Data support</b>

description: Properties
DOI: 10.25345/c5v698r6t
title: MassIVE MSV000099915 - S. elongatus PCC 7942 Circadian Extracellular Sucrose Quantification Metabolomics
title: GC-MS extracellular sucrose quantification investigating metabolites involved in central carbon metabolism and photosynthetic electron transfer pathways in Synechococcus elongatus. Time-series laboratory adaptive evolution of Synechococcus elongatus PCC 7942 CscB/SPS strain (ncbitaxon:1140) under fluctuating oxygen stress conditions in controlled turbidostatic conditions. The starting strain (labelled WT) was grown between 0-78.4% oxygen before transferred to 0% oxygen. This process was repeated twice in adapted populated one (0-93%) and adapted population two (0-99.8%). A final sample was taken at 0% oxygen for adapted population 3.
DOI: 10.15468/dl.9frfmc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnothorax tile",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034601-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.13863506
title: Two-Streams Revisited: General Equations, Exact Coefficients, and Optimized Closures (data and code)

description: Code and data necessary to reproduce figures presented in our paper  "Two-Streams Revisited: General Equations, Exact Coefficients, and Optimized Closures" (Ho & Pincus 2024). The figures and code to reproduce them are in the Jupyter Notebook `Two-stream_revisited_code.ipynb`  which includes 3D interactive versions of Figures 6, 7, 10. We also provided code to further explore the dataset of coupling coefficients `twostreams_revisited_data.npz`.

Identical GitHub repository: https://github.com/LDEO-CREW/Two-streams_revisited_code.

This record is for the post-review (final) version of the paper, with a slight code change to accomodate `PythonicDISORT > 0.9.1`.

Contact: Dion, dh3065@columbia.edu

Requirements



Python 3.8+

`PythonicDISORT >= 0.8.0` (A minor code change will be required for `PythonicDISORT <= 0.9.1`)

`numpy >= 1.8.0`

`scipy >= 1.8.0`

`matplotlib >= 3.6.0`

`jupyter > 1.0.0`

`notebook > 6.5.2`

`autograd >= 1.5`

`plotly >= 5.22.0`