cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mrmj97
title: Occurrence Download

description: A dataset containing 242124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mellicta athalia celadussa (Fruhstorfer, 1910), Adaina microdactyla (Hübner, 1813), Tachina fera (Linnaeus, 1761), Elkalyce alcetas (Hübner, 1805), Helophilus trivittatus (Fabricius, 1805), Milesia crabroniformis (Fabricius, 1775), Liriomyza eupatoriana Spencer, 1954, Phytomyza eupatorii Hendel, 1927, Liriomyza eupatorii (Kaltenbach, 1874), Melanagromyza eupatorii Spencer, 1957, Allophylaria subliciformis (P.Karst.) P.Karst., Chromelosporium ochraceum Corda, Anthostomella tomicoides Sacc., Leptostroma eupatorii Allesch., Leptosphaeria agnita (Desm.) Ces. & De Not., Leptosphaeria haematites (Roberge ex Desm.) Niessl, Fusariella sarniensis M.B.Ellis, Leptospora rubella (Pers.) Rabenh., Melomastia mastoidea (Fr.) J.Schröt., Myrothecium carmichaelii Grev., Phomopsis eupatoriicola Petr., Stemonocera cornuta (Scopoli, 1771), Longitarsus aeruginosus (Foudras, 1860), Longitarsus succineus (Foudras, 1859), Sporidesmium cookei (S.Hughes) M.B.Ellis, Nectria pseudopeziza (Desm.) Rossman, Sporidesmium eupatoriicola M.B.Ellis, Condica vecors Guenée, 1852, Eupatorium capillifolium (Lam.) Small, Triepeolus distinctus (Cresson, 1878), Orchelimum nigripes Scudder, 1875, Herpetogramma phaeopteralis Guenée, 1854, Ophraella notata (Fabricius, 1801), Prionyx atratus (Lepeletier de Saint Fargeau, 1845), Harmostes fraterculus (Say, 1832), Poecilocapsus lineatus (Fabricius, 1798), Diaphania costata (Fabricius, 1775), Stiretrus anchorago (Fabricius, 1775), Euodynerus crypticus (Say, 1823), Chloridea virescens (Fabricius, 1777), Nomophila nearctica Munroe, 1973, Parrhasius m-album (Boisduval & Le Conte, 1833), Pyrausta bicoloralis Guenée, 1854, Polistes apachus de Saussure, 1857, Meromacrus acutus (Fabricius, 1805), Megachile brevis Say, 1837, Toxorhynchites rutilus septentrionalis (Dyar & Knab, 1906), Eupatorium serotinum Michx., Bryobiella desertorum Tuttle & Baker, 1968, Icaricia lupini)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 242124 records from 1601 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009713-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5acc7s
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Lathyrus venosus Muhl. ex Willd.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 170 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009884-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26189/e366f011-76c2-4728-9348-f37feaff3ebe
title: Heritage Listed Properties in Albury (NSW, Australia). A Data Set

description: This data file has been compiled during the analysis for and review on occasion of the Albury Heritage Heritage Study 2022–2024. It included all heritage items that had been identified as heritage in any of the heritage studies for Albury (NSW, Australia) commencing in 1974 and until the present review. Some of the items no longer exists and others are no longer included in the list.
DOI: 10.15468/dl.dty6vk
title: Occurrence Download

description: A dataset containing 3416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China)",
 "TaxonKey is Emberiza aureola"
 ]
}

 The dataset includes 3416 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004853-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17688984
title: Southwest Mushrooms Commercial Cultivation Multi-Modal Dataset - Expert Labeled by 20-Year Practitioner

description: The World's Largest Expert-Labeled Commercial Mushroom Cultivation Dataset


Expert Labeler: Michael Crowe (20+ years cultivation experience, 2005-present)
Data Source: Southwest Mushrooms (Est. 2017) - 8+ years commercial operations
Licensed By: Crowe Logic, Inc. (Est. 2025)


Complete Dataset Inventory:



722,544 high-quality labeled frames (expert-validated by 20-year practitioner)

46 audio narrations (15-20 hours expert cultivation instruction)

48 detailed transcripts (searchable knowledge base)

92% HIGH-quality datasets (128/139 production-ready, 0% curation needed)



Expert Validation

All labels validated by Michael Crowe:



20+ years mushroom cultivation experience (2005-present)

8+ years commercial operations (Southwest Mushrooms, 2017-2025)

Proven commercial success: $30K-45K/month revenue, <2% contamination rate

Phoenix, AZ operations (extreme climate adaptation expertise)



This dataset is unique because every label reflects two decades of hands-on cultivation expertise, 
not crowdsourced guesses. Labels are based on actual commercial outcomes and proven techniques.


Commercial Operations History

Southwest Mushrooms (2017-2025):



1,500-2,000 blocks/month production capacity

$30,000-45,000 monthly revenue (documented)

<2% contamination rate (industry average: 10-15%)

Year-round consistent quality in extreme climate



Dataset Quality Metrics



92% production-ready (no curation needed)

100% expert validation (20-year practitioner)

Blur score >10 (excellent clarity)

Brightness 20-50 (optimal for ML training)

Commercial validation: Techniques proven in profitable operations



Contact & Licensing

Licensing Company: Crowe Logic, Inc. (Established 2025)
Data Source: Southwest Mushrooms (Established 2017)
Expert Labeler: Michael Crowe (20+ years experience, 2005-present)
Location: Phoenix, Arizona, USA
Contact: michael@crowelogic.com
ORCID: 0009-0008-5676-8816


Enterprise Licensing Available

Academic: $19,999/year | Professional: $79,999/year | Enterprise: $199,999/year

Contact: enterprise@crowelogic.com
description: Expert Labeler: Michael Crowe (20+ years cultivation experience, 2005-present)
Data Source: Southwest Mushrooms (2017-2025, 8+ years commercial operations)
Licensed By: Crowe Logic, Inc. (Est. 2025)

All labels reflect 20 years of hands-on cultivation expertise and proven commercial techniques.

For commercial licensing: michael@crowelogic.com
Enterprise licenses available starting at $19,999/year
DOI: 10.5281/zenodo.17688985
title: Southwest Mushrooms Commercial Cultivation Multi-Modal Dataset - Expert Labeled by 20-Year Practitioner

description: The World's Largest Expert-Labeled Commercial Mushroom Cultivation Dataset


Expert Labeler: Michael Crowe (20+ years cultivation experience, 2005-present)
Data Source: Southwest Mushrooms (Est. 2017) - 8+ years commercial operations
Licensed By: Crowe Logic, Inc. (Est. 2025)


Complete Dataset Inventory:



722,544 high-quality labeled frames (expert-validated by 20-year practitioner)

46 audio narrations (15-20 hours expert cultivation instruction)

48 detailed transcripts (searchable knowledge base)

92% HIGH-quality datasets (128/139 production-ready, 0% curation needed)



Expert Validation

All labels validated by Michael Crowe:



20+ years mushroom cultivation experience (2005-present)

8+ years commercial operations (Southwest Mushrooms, 2017-2025)

Proven commercial success: $30K-45K/month revenue, <2% contamination rate

Phoenix, AZ operations (extreme climate adaptation expertise)



This dataset is unique because every label reflects two decades of hands-on cultivation expertise, 
not crowdsourced guesses. Labels are based on actual commercial outcomes and proven techniques.


Commercial Operations History

Southwest Mushrooms (2017-2025):



1,500-2,000 blocks/month production capacity

$30,000-45,000 monthly revenue (documented)

<2% contamination rate (industry average: 10-15%)

Year-round consistent quality in extreme climate



Dataset Quality Metrics



92% production-ready (no curation needed)

100% expert validation (20-year practitioner)

Blur score >10 (excellent clarity)

Brightness 20-50 (optimal for ML training)

Commercial validation: Techniques proven in profitable operations



Contact & Licensing

Licensing Company: Crowe Logic, Inc. (Established 2025)
Data Source: Southwest Mushrooms (Established 2017)
Expert Labeler: Michael Crowe (20+ years experience, 2005-present)
Location: Phoenix, Arizona, USA
Contact: michael@crowelogic.com
ORCID: 0009-0008-5676-8816


Enterprise Licensing Available

Academic: $19,999/year | Professional: $79,999/year | Enterprise: $199,999/year

Contact: enterprise@crowelogic.com
description: Expert Labeler: Michael Crowe (20+ years cultivation experience, 2005-present)
Data Source: Southwest Mushrooms (2017-2025, 8+ years commercial operations)
Licensed By: Crowe Logic, Inc. (Est. 2025)

All labels reflect 20 years of hands-on cultivation expertise and proven commercial techniques.

For commercial licensing: michael@crowelogic.com
Enterprise licenses available starting at $19,999/year
DOI: 10.15468/dl.uajg6u
title: Occurrence Download

description: A dataset containing 32414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Portugal",
 "GadmGid is PRT.9.14_1",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 32414 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004854-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvubd5
title: Occurrence Download

description: A dataset containing 7485 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scirpus lacustris"
 ]
}

 The dataset includes 7485 records from 317 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004855-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.945mch
title: Occurrence Download

description: A dataset listing the 1968 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Canada, Mexico)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Scincidae, Phrynosomatidae, Iguanidae, Dactyloidae, Teiidae, Xantusiidae, Anguidae, Anniellidae, Xenosauridae, Crotaphytidae, Corytophanidae, Helodermatidae, Eublepharidae, Phyllodactylidae, Sphaerodactylidae, Gymnophthalmidae)"
 ]
}

 The dataset's 1968 records were derived from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004851-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5524/102775
title: Supporting data for "Patterns of aDNA Damage Through Time end Environments - lessons from herbarium specimens"

description: This dataset comprises ancient DNA (aDNA) damage metrics derived from 573 herbarium specimens spanning two plant genera (Hordeum and Oryza), six species, and 220 years of collection history (1797-2017). Specimens were sourced from seven major herbaria across Europe and North America, representing diverse geographic origins from temperate Europe and the Middle East (Hordeum) to tropical and subtropical regions of the Americas and Southeast Asia (Oryza). <br> All samples underwent standardized laboratory processing using established aDNA protocols, including DNA extraction, library preparation, and low-coverage shotgun sequencing. Bioinformatic analysis followed the Latorre et al. (2020) plant aDNA pipeline, generating four key damage metrics: endogenous DNA fraction, fragment length distributions, damage fraction per site (λ), and 5' cytosine deamination frequencies. <br> The dataset addresses the critical need for large-scale, standardized aDNA preservation studies by providing the first comprehensive analysis of herbarium specimen DNA degradation across multiple species, geographic regions, and temporal scales. This resource enables investigation of temporal degradation processes, environmental influences on DNA preservation, genus-specific damage patterns, and the impact of museum storage conditions. The standardized methodology and global scope make this dataset valuable for ancient DNA researchers, museum curators developing preservation strategies, and scientists studying DNA degradation mechanisms in biological collections.
DOI: 10.5281/zenodo.13927874
title: Procedure and files
DOI: 10.5281/zenodo.13927875
title: Procedure and files
DOI: 10.15468/dl.fe7bw6
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Begonia cornuta"
 ]
}

 The dataset includes 61 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004859-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26189/481734e6-07a9-4353-92ab-156e3b13a910
title: A Rapid Survey of Indigenous Australian Motifs on the wares of Little Sydney Pottery . Data Documentation

description: Data set
DOI: 10.15468/dl.sn6mmr
title: Occurrence Download

description: A dataset containing 8694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((143.80824 -20.05971,147.35985 -20.05971,147.35985 -15.20738,143.80824 -15.20738,143.80824 -20.05971))",
 "OccurrenceStatus is Present",
 "TaxonKey is Casuarius casuarius",
 "Year 1990-2025"
 ]
}

 The dataset includes 8694 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004861-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2eenj
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Amblyseius swirskii"
 ]
}

 The dataset includes 186 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004862-251120083545085/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.30690074
title: Dataset US aid cuts Australian public opinion

description: These data are associated with the paper "Cuts to aid from the United States and public opinion in other donor countries". This paper is in the process of being uploaded to the Verxiv pre-print server.
DOI: 10.6084/m9.figshare.30690074.v1
title: Dataset US aid cuts Australian public opinion

description: These data are associated with the paper "Cuts to aid from the United States and public opinion in other donor countries". This paper is in the process of being uploaded to the Verxiv pre-print server.
DOI: 10.15468/dl.3ncb4t
title: Occurrence Download

description: A dataset containing 6835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "StateProvince is New Mexico",
 "TaxonKey is Polypodiopsida"
 ]
}

 The dataset includes 6835 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004863-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17694210
title: Extending Electric Vehicle Battery Life Using Curvature-Change Control: A vCF-1 Based Charging Optimization (Medley 2025)

description: First application of the vCF-1 curvature-change filter to electric-vehicle fast-charging thermal profiles.

 

A synthetic but realistic 800-point fast-charge temperature curve (28 °C baseline with multi-frequency thermal spikes) is processed using the vCF-1 smoothing operator (α = 0.52, λ = 0.0098). The demonstration shows:

 



82–87 % reduction in second-derivative curvature noise

Zero loss of true physical structure (large-scale thermal features preserved)

Clear suppression of high-frequency thermal accelerations that contribute to SEI growth and lithium plating

Cleaner early detection of thermal-runaway precursors

More stable input signals for BMS algorithms (thermal, current, and voltage channels)


 

 

This is a 100% safe, non-proprietary vCF-1 subset using only NumPy/SciPy.

No Echo Lattice internals or protected operators are included.

 

This release demonstrates how curvature-change control can extend EV battery life by reducing thermal acceleration events during fast charging — a mechanism consistent with published NREL/Argonne degradation studies.

 

Citation:

Medley, M. (2025). vCF-1 Curvature Control for EV Fast-Charge Thermal Management. Zenodo.

https://doi.org/10.5281/zenodo.XXXXXXX
description: #!/usr/bin/env python3# ===============================================================# vCF-1 Curvature Demo for EV Battery Charging# SAFE VERSION — No proprietary Echo Lattice internals# © 2025 Michael Medley# ===============================================================

import numpy as npfrom scipy.sparse import diags, eyefrom scipy.sparse.linalg import cgimport matplotlib.pyplot as plt

# Example: synthetic fast-charging temperature curvet = np.linspace(0, 1, 800)temp_raw = 28 + 6*np.sin(5*t) + 0.8*np.sin(32*t)  # spike-like behavior

N = len(temp_raw)

# Safe D1/D2 operatorsD1 = diags([-1*np.ones(N-1), np.ones(N-1)], [0,1], shape=(N-1,N))D2 = diags([np.ones(N-2), -2*np.ones(N-2), np.ones(N-2)], [0,1,2], shape=(N-2,N))

E = 0.52*(D1.T@D1) + 0.48*(D2.T@D2)A = eye(N) + 0.0098*E   # smoothing strength

temp_smooth, _ = cg(A, temp_raw, tol=1e-6)

# Curvature estimatecurv = np.diff(np.diff(temp_smooth))print("Curvature reduction:", 1 - np.std(curv) / np.std(np.diff(np.diff(temp_raw))))

# Plot resultsplt.plot(t, temp_raw, label="Raw temperature")plt.plot(t, temp_smooth, label="vCF-1 smoothed", linewidth=2)plt.xlabel("Time")plt.ylabel("Temperature (°C)")plt.title("EV Battery Fast-Charge Curve — Curvature Reduction Demo")plt.legend()plt.show()
DOI: 10.5281/zenodo.17694211
title: Extending Electric Vehicle Battery Life Using Curvature-Change Control: A vCF-1 Based Charging Optimization (Medley 2025)

description: First application of the vCF-1 curvature-change filter to electric-vehicle fast-charging thermal profiles.

 

A synthetic but realistic 800-point fast-charge temperature curve (28 °C baseline with multi-frequency thermal spikes) is processed using the vCF-1 smoothing operator (α = 0.52, λ = 0.0098). The demonstration shows:

 



82–87 % reduction in second-derivative curvature noise

Zero loss of true physical structure (large-scale thermal features preserved)

Clear suppression of high-frequency thermal accelerations that contribute to SEI growth and lithium plating

Cleaner early detection of thermal-runaway precursors

More stable input signals for BMS algorithms (thermal, current, and voltage channels)


 

 

This is a 100% safe, non-proprietary vCF-1 subset using only NumPy/SciPy.

No Echo Lattice internals or protected operators are included.

 

This release demonstrates how curvature-change control can extend EV battery life by reducing thermal acceleration events during fast charging — a mechanism consistent with published NREL/Argonne degradation studies.

 

Citation:

Medley, M. (2025). vCF-1 Curvature Control for EV Fast-Charge Thermal Management. Zenodo.

https://doi.org/10.5281/zenodo.XXXXXXX
description: #!/usr/bin/env python3# ===============================================================# vCF-1 Curvature Demo for EV Battery Charging# SAFE VERSION — No proprietary Echo Lattice internals# © 2025 Michael Medley# ===============================================================

import numpy as npfrom scipy.sparse import diags, eyefrom scipy.sparse.linalg import cgimport matplotlib.pyplot as plt

# Example: synthetic fast-charging temperature curvet = np.linspace(0, 1, 800)temp_raw = 28 + 6*np.sin(5*t) + 0.8*np.sin(32*t)  # spike-like behavior

N = len(temp_raw)

# Safe D1/D2 operatorsD1 = diags([-1*np.ones(N-1), np.ones(N-1)], [0,1], shape=(N-1,N))D2 = diags([np.ones(N-2), -2*np.ones(N-2), np.ones(N-2)], [0,1,2], shape=(N-2,N))

E = 0.52*(D1.T@D1) + 0.48*(D2.T@D2)A = eye(N) + 0.0098*E   # smoothing strength

temp_smooth, _ = cg(A, temp_raw, tol=1e-6)

# Curvature estimatecurv = np.diff(np.diff(temp_smooth))print("Curvature reduction:", 1 - np.std(curv) / np.std(np.diff(np.diff(temp_raw))))

# Plot resultsplt.plot(t, temp_raw, label="Raw temperature")plt.plot(t, temp_smooth, label="vCF-1 smoothed", linewidth=2)plt.xlabel("Time")plt.ylabel("Temperature (°C)")plt.title("EV Battery Fast-Charge Curve — Curvature Reduction Demo")plt.legend()plt.show()
DOI: 10.15468/dl.pjd9h3
title: Occurrence Download

description: A dataset containing 6560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mimosa pigra"
 ]
}

 The dataset includes 6560 records from 309 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004864-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pzgq3
title: Occurrence Download

description: A dataset containing 725802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Alca torda"
 ]
}

 The dataset includes 725802 records from 504 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004849-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2z8n3
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cupressus austrotibetica"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007054-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3x82hs
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sundasciurus philippinensis"
 ]
}

 The dataset includes 83 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007056-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.