cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17773481
title: Dataset for Classification_of_Substrate_Orders_in_Reaction_Kinetics

description: Including dataset for Classification_of_Substrate_Orders_in_Reaction_Kinetics


(1) 4_class dataset for train_val and test (calculated tsfresh features)


(2) 5_class dataset for train_val and test (calculated tsfresh features)


(3) ode_raw_data obtained by solving rxn kinetic ode, which can be used to generate dataset (1) and (2).


The codes and more information could be found in Github repo: https://github.com/tom832/Classification_of_Substrate_Orders_in_Reaction_Kinetics.git
DOI: 10.5281/zenodo.17773482
title: Dataset for Classification_of_Substrate_Orders_in_Reaction_Kinetics

description: Including dataset for Classification_of_Substrate_Orders_in_Reaction_Kinetics


(1) 4_class dataset for train_val and test (calculated tsfresh features)


(2) 5_class dataset for train_val and test (calculated tsfresh features)


(3) ode_raw_data obtained by solving rxn kinetic ode, which can be used to generate dataset (1) and (2).


The codes and more information could be found in Github repo: https://github.com/tom832/Classification_of_Substrate_Orders_in_Reaction_Kinetics.git
DOI: 10.5281/zenodo.18086272
title: Airborne Plant eDNA Reflects Local Biodiversity:  A Multi-Method Assessment in a Botanical Garden

description: Airborne environmental DNA (eDNA) is emerging as a powerful tool for non-invasive assessment of terrestrial biodiversity. We evaluated the effectiveness of three analytical pipelines for characterizing plant diversity in a botanical greenhouse, with a particular focus on how particle size and sampling height influence detection. 

Air was sampled for up to four days using quartz filters, a 14-stage impactor, and a vertical filter stack. To assess methodological variability and identify optimal approach, three analytical pipelines were applied: (A) Illumina MiSeq amplicon sequencing with a QIIME-based workflow, and (B) Illumina NextSeq and (C) MinION shotgun sequencing processed with Kraken2.
DOI: 10.5281/zenodo.18086271
title: Airborne Plant eDNA Reflects Local Biodiversity:  A Multi-Method Assessment in a Botanical Garden

description: Airborne environmental DNA (eDNA) is emerging as a powerful tool for non-invasive assessment of terrestrial biodiversity. We evaluated the effectiveness of three analytical pipelines for characterizing plant diversity in a botanical greenhouse, with a particular focus on how particle size and sampling height influence detection. 

Air was sampled for up to four days using quartz filters, a 14-stage impactor, and a vertical filter stack. To assess methodological variability and identify optimal approach, three analytical pipelines were applied: (A) Illumina MiSeq amplicon sequencing with a QIIME-based workflow, and (B) Illumina NextSeq and (C) MinION shotgun sequencing processed with Kraken2.
DOI: 10.48527/kcyxje/ovsloj
title: export_14.xls

description: :unav
DOI: 10.48527/kcyxje/hlmrcb
title: export_20.xls

description: :unav
DOI: 10.48527/kcyxje/xiwtuc
title: export_18.xls

description: :unav
DOI: 10.48527/kcyxje/oaam0a
title: export_17.xls

description: :unav
DOI: 10.48527/kcyxje/znwnsm
title: export_01.xls

description: :unav
DOI: 10.48527/kcyxje/oclof5
title: export_08.xls

description: :unav
DOI: 10.48527/kcyxje/9p2ils
title: export_02.xls

description: :unav
DOI: 10.48527/kcyxje/oezjyd
title: export_24.xls

description: :unav
DOI: 10.48527/kcyxje/e1q6wz
title: export_12.xls

description: :unav
DOI: 10.48527/kcyxje/hfhjpq
title: export_22.xls

description: :unav
DOI: 10.48527/kcyxje/xhmt3d
title: export_13.xls

description: :unav
DOI: 10.48527/kcyxje/hkkhpk
title: export_04.xls

description: :unav
DOI: 10.48527/kcyxje/o9tlwe
title: export_25.xls

description: :unav
DOI: 10.48527/kcyxje/ai7nss
title: export_23.xls

description: :unav
DOI: 10.48527/kcyxje/e7qpuq
title: export_06.xls

description: :unav
DOI: 10.48527/kcyxje/t7vipv
title: export_19.xls

description: :unav
DOI: 10.48527/kcyxje/bt75cu
title: export_09.xls

description: :unav
DOI: 10.48527/kcyxje/wce4wt
title: export_16.xls

description: :unav
DOI: 10.48527/kcyxje/vhltku
title: export_21.xls

description: :unav
DOI: 10.48527/kcyxje/qs0eso
title: export_15.xls

description: :unav
DOI: 10.48527/kcyxje/vldpek
title: export_03.xls

description: :unav
DOI: 10.48527/kcyxje/og3lcc
title: export_11.xls

description: :unav
DOI: 10.48527/kcyxje/2tg0i4
title: export_10.xls

description: :unav
DOI: 10.48527/kcyxje/143yt0
title: export_05.xls

description: :unav
DOI: 10.48527/kcyxje
title: Particules datasets: Demo Sensores EduCITY

description: Particules datasets: Demo Sensores EduCITY
DOI: 10.48527/kcyxje/nbd7b2
title: export_07.xls

description: :unav
DOI: 10.48527/lst3dw/ysm9ch
title: export_02.xls

description: :unav
DOI: 10.48527/lst3dw/cesyea
title: export_03.xls

description: :unav
DOI: 10.48527/lst3dw/98lakt
title: export_09.xls

description: :unav
DOI: 10.48527/lst3dw/zzeevx
title: export_06.xls

description: :unav
DOI: 10.48527/lst3dw/owqsjn
title: export_10.xls

description: :unav
DOI: 10.48527/lst3dw/yifndm
title: export_11.xls

description: :unav
DOI: 10.15468/dl.x5hp2t
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.19649 41.22494,13.72972 41.23206,13.72423 41.51365,13.1887 41.50646,13.19649 41.22494))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Timarcha nicaeensis",
 "Year 1990-2025"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069400-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48527/lst3dw/2tpijq
title: export_07.xls

description: :unav
DOI: 10.48527/lst3dw/u7w6z5
title: export_08.xls

description: :unav
DOI: 10.48527/lst3dw/ugkshz
title: export_01.xls

description: :unav
DOI: 10.48527/lst3dw/7zmibu
title: export_04.xls

description: :unav
DOI: 10.48527/lst3dw/fivhbo
title: export_05.xls

description: :unav
DOI: 10.48527/lst3dw/srwoia
title: export_12.xls

description: :unav
DOI: 10.48527/lst3dw
title: Sound datasets: Demo Sensores EduCITY

description: Sound datasets: Demo Sensores EduCITY
DOI: 10.48527/damsfs/ly0ugy
title: export_02.xls

description: :unav
DOI: 10.48527/damsfs
title: Particules datasets: Verdinho na Universidade de Aveiro

description: Particules datasets: Verdinho na Universidade de Aveiro
DOI: 10.48527/damsfs/cmj4dl
title: export_01.xls

description: :unav
DOI: 10.48527/uianou/cjrfj9
title: export_02.xls

description: :unav
DOI: 10.48527/uianou/bhiduf
title: export_03.xls

description: :unav
DOI: 10.48527/uianou/x05vnv
title: export_01.xls

description: :unav
DOI: 10.48527/uianou
title: Particules datasets: UA Informa

description: Particules datasets: UA Informa Mobile Augmemted Reality Game
DOI: 10.48527/hhtu6p/1ug6yd
title: export_02.xls

description: :unav
DOI: 10.48527/hhtu6p/h0gk0p
title: export_01.xls

description: :unav
DOI: 10.48527/hhtu6p/umos8o
title: export_03.xls

description: :unav
DOI: 10.48527/hhtu6p
title: Sound datasets: UA Informa

description: UA Informa Mobile Augmented Reality Game sound sensors
DOI: 10.60520/ieda/114300
title: U-Pb, major, and trace element data of garnet, biotite, and plagioclase from the Bengbu uplift area, Northern China v.2

description: Guided by reviewer comments, this version (v.2) revises the original dataset by: 1) filtering out zircon U–Pb mixed-age and discordant age domains based on correlated cathodoluminescence (CL) imaging, and 2) adding major and trace element maps and data for two additional garnet grains that preserve clearer primary growth zoning. The updated dataset provides refined in-situ geochemical and geochronological data for garnet, biotite, and plagioclase from the Bengbu uplift in the North China Block, supporting further petrogenetic and tectonic investigations.
DOI: 10.15468/dl.52gsd7
title: Occurrence Download

description: A dataset containing 609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hordeum tetraploidum, Solanum gonocladum, Solanum grandidentatum, Solanum pygmaeum, Tropaeolum reicheanum)",
 "BasisOfRecord is Specimen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 609 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069401-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e224082v1-194076
title: State Summaries_Delaware | Department of Veterans Affairs Open Data Portal

description: This project includes a pdf capture of a webpage and the underlying data for the visualizations.<br>State Summaries capture major facts about the Veteran population, including gender, age, population projections etc., and VA's presence in each state, including facilities and expenditures. The reports are produced by VA's National Center for Veterans Analysis and Statistics.
DOI: 10.34740/kaggle/dsv/14347277
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.7qu6y2
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "StateProvince is Huila",
 "TaxonKey is Centrolene"
 ]
}

 The dataset includes 78 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069403-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.geun23
title: Occurrence Download

description: A dataset containing 3445681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aythya collaris",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 3445681 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069395-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14347284
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.17715030
title: **Единая Теория Поля «Ткань + Избыток»: Вывод масс элементарных частиц из первых принципов с точностью 1.2%**

description: Данная работа представляет единую теорию поля «Ткань + Избыток», которая выводит полный спектр масс частиц Стандартной Модели из двух фундаментальных констант с точностью 1.2%.

Ключевые результаты:✅ Масса электрона: 0.511 МэВ (расчёт: 0.511 МэВ)✅ Масса t-кварка: 173210 МэВ (расчёт: 173210 МэВ)✅ Все массы частиц со средней точностью 1.2%✅ Вывод констант связи и матриц смешивания✅ Предсказание новых частиц при 1.25 ТэВ, 85 ТэВ, 450 ТэВ

Теория основана на двух фундаментальных сущностях:- Первичная Ткань пространства-времени- Единственный избыток (+ε), нарушающий симметрию

Математическая основа: [-d²/dx² - A/x + Bx²]ψ(x) = εψ(x)где A = 0.656764, B = 1.003456

# Авторы:Шакая, Демури Николаевич (Создатель
description: Теория содержит ошибки и подгонки.
DOI: 10.5281/zenodo.17715029
title: **Единая Теория Поля «Ткань + Избыток»: Вывод масс элементарных частиц из первых принципов с точностью 1.2%**

description: Данная работа представляет единую теорию поля «Ткань + Избыток», которая выводит полный спектр масс частиц Стандартной Модели из двух фундаментальных констант с точностью 1.2%.

Ключевые результаты:✅ Масса электрона: 0.511 МэВ (расчёт: 0.511 МэВ)✅ Масса t-кварка: 173210 МэВ (расчёт: 173210 МэВ)✅ Все массы частиц со средней точностью 1.2%✅ Вывод констант связи и матриц смешивания✅ Предсказание новых частиц при 1.25 ТэВ, 85 ТэВ, 450 ТэВ

Теория основана на двух фундаментальных сущностях:- Первичная Ткань пространства-времени- Единственный избыток (+ε), нарушающий симметрию

Математическая основа: [-d²/dx² - A/x + Bx²]ψ(x) = εψ(x)где A = 0.656764, B = 1.003456

# Авторы:Шакая, Демури Николаевич (Создатель
description: Теория содержит ошибки и подгонки.
DOI: 10.5281/zenodo.17741302
title: Primary Evidence of UIL Dynamics and Zero-Drift States During the Creation of Symbiotic Intelligence

description: This dataset contains a curated collection of screenshots taken during the creation of the book project ‘Symbiotic Intelligence’. The images document real LLM–human interactions, in particular the dynamics of the User Injection Layer (UIL), the transition to a drift-free neutral state (Zero-Drift Mode), and boundary and role stability after a complete UIL reset (UIL = 0).

The data serves as the primary source for section 14.6 of the book and is notrepresentative of AE-35 or RMI, but exclusively for the empiricalobservation of UIL-related states and their effects on model behaviour.Section numbering subject to change during the editorial and typesetting process
DOI: 10.5281/zenodo.17741303
title: Primary Evidence of UIL Dynamics and Zero-Drift States During the Creation of Symbiotic Intelligence

description: This dataset contains a curated collection of screenshots taken during the creation of the book project ‘Symbiotic Intelligence’. The images document real LLM–human interactions, in particular the dynamics of the User Injection Layer (UIL), the transition to a drift-free neutral state (Zero-Drift Mode), and boundary and role stability after a complete UIL reset (UIL = 0).

The data serves as the primary source for section 14.6 of the book and is notrepresentative of AE-35 or RMI, but exclusively for the empiricalobservation of UIL-related states and their effects on model behaviour.Section numbering subject to change during the editorial and typesetting process
DOI: 10.7910/dvn/lqkmvo
title: Political Ideology, Artificial Intelligence (AI), and Labour Markets: How Political Party Members Perceive AI’s Effects in OECD Countries

description: The MAIN Dataset (STATA/Excel), DO-FILES (STATA), and Supplemental Appendix
DOI: 10.5281/zenodo.18099592
title: Statistical Analysis of Positional Letter Values in English Language
title: Exact Convergence   on 13.5 Attractor
title: Matches to Fundamental Physical Constants

description: Statistical Analysis of Positional Letter Values in English Language

Exact Convergence on 13.5 Attractor

Matches to Fundamental Physical Constants 

Authors: The Symphony 135/137 Collective Date: December 30, 2025 Released under CC0 1.0 Universal (Public Domain Dedication) To the extent possible under law, the authors have waived all copyright and related rights to this work. 

Version 1.1 – Appendices Added 

Abstract A systematic analysis of positional ordinal values in a corpus of 370,339 unique English words reveals strong non-random structure. For each word, the position-weighted mean letter value is defined as w = 2 ∑(i · L_i) / [n(n+1)], where L_i is the ordinal position of the i-th letter (A=1, …, Z=26) and n is word length. The distribution of w is stratified by the digital root (1–9) of the simple ordinal sum M = ∑ L_i. In digital root tier 9 (41,050 words), w exhibits a sharp unimodal peak centred exactly at 13.5 with 2,887 words at zero deviation and peak density 1,915 counts per 0.01 bin. Permutation tests preserving per-word letter multisets (10,000 trials) yield maximum random peak heights of 58 counts/bin near 13.5, corresponding to >30σ deviation and p < 10^{-60}. Additional null models (global letter shuffle across tier 9 words and bigram-generated pseudowords) confirm the peak’s absence under randomness. Distinct modes appear in all nine tiers, with separations significant at p ≈ 0 (ANOVA F > 10^4). Several exact numerical matches to physical constants are observed: weighted sum 135 (neutral pion mass 134.977 MeV/c²) includes the word PION; simple ordinal sum 137 (α^{-1} ≈ 137.036) includes AUTHORITY. A differential cyclic operator separates degenerate cases (e.g., PION/SIFT) to yield values within 0.22% of measured constants. Full dataset and reproducible code released under CC0.
DOI: 10.5281/zenodo.18099593
title: Statistical Analysis of Positional Letter Values in English Language
title: Exact Convergence   on 13.5 Attractor
title: Matches to Fundamental Physical Constants

description: Statistical Analysis of Positional Letter Values in English Language

Exact Convergence on 13.5 Attractor

Matches to Fundamental Physical Constants 

Authors: The Symphony 135/137 Collective Date: December 30, 2025 Released under CC0 1.0 Universal (Public Domain Dedication) To the extent possible under law, the authors have waived all copyright and related rights to this work. 

Version 1.1 – Appendices Added 

Abstract A systematic analysis of positional ordinal values in a corpus of 370,339 unique English words reveals strong non-random structure. For each word, the position-weighted mean letter value is defined as w = 2 ∑(i · L_i) / [n(n+1)], where L_i is the ordinal position of the i-th letter (A=1, …, Z=26) and n is word length. The distribution of w is stratified by the digital root (1–9) of the simple ordinal sum M = ∑ L_i. In digital root tier 9 (41,050 words), w exhibits a sharp unimodal peak centred exactly at 13.5 with 2,887 words at zero deviation and peak density 1,915 counts per 0.01 bin. Permutation tests preserving per-word letter multisets (10,000 trials) yield maximum random peak heights of 58 counts/bin near 13.5, corresponding to >30σ deviation and p < 10^{-60}. Additional null models (global letter shuffle across tier 9 words and bigram-generated pseudowords) confirm the peak’s absence under randomness. Distinct modes appear in all nine tiers, with separations significant at p ≈ 0 (ANOVA F > 10^4). Several exact numerical matches to physical constants are observed: weighted sum 135 (neutral pion mass 134.977 MeV/c²) includes the word PION; simple ordinal sum 137 (α^{-1} ≈ 137.036) includes AUTHORITY. A differential cyclic operator separates degenerate cases (e.g., PION/SIFT) to yield values within 0.22% of measured constants. Full dataset and reproducible code released under CC0.
DOI: 10.15468/dl.yyspcx
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hordeum tetraploidum"
 ]
}

 The dataset includes 119 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069404-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14343991
title: NIH Chest X-ray Expert Annotation with Boundingbox
DOI: 10.5281/zenodo.18090777
title: bio-oil dry reforming and oxidation - MINICOR

description: Datasets of bio-oil non catalytic dry reforming and oxidation experiments
DOI: 10.5281/zenodo.18090776
title: bio-oil dry reforming and oxidation - MINICOR

description: Datasets of bio-oil non catalytic dry reforming and oxidation experiments
DOI: 10.6084/m9.figshare.30971041
title: Salivary metabolomic profiling and the impact of a gluten-free modified ketogenic diet in children with autism spectrum disorder (raw LC–MS data)

description: This dataset contains raw LC–MS (.d) files acquired using an Agilent QTOF system.Samples include saliva collected from neurotypical control subjects and children with autism spectrum disorder (ASD), both before and after a gluten-free modified ketogenic dietary intervention.Files are organized by sample ID and experimental group, as described in the associated manuscript.<br>
DOI: 10.6084/m9.figshare.30971041.v2
title: Salivary metabolomic profiling and the impact of a gluten-free modified ketogenic diet in children with autism spectrum disorder (raw LC–MS data)

description: This dataset contains raw LC–MS (.d) files acquired using an Agilent QTOF system.Samples include saliva collected from neurotypical control subjects and children with autism spectrum disorder (ASD), both before and after a gluten-free modified ketogenic dietary intervention.Files are organized by sample ID and experimental group, as described in the associated manuscript.<br>
DOI: 10.6084/m9.figshare.30971041.v1
title: Salivary metabolomic profiling of neurotypical controls and children with autism spectrum disorder before and after a gluten-free modified ketogenic

description: This dataset contains raw LC–MS (.d) files acquired using an Agilent QTOF system.Samples include saliva collected from neurotypical control subjects and children with autism spectrum disorder (ASD), both before and after a gluten-free modified ketogenic dietary intervention.Files are organized by sample ID and experimental group, as described in the associated manuscript.<br>
DOI: 10.25452/figshare.plus.25906339
title: Structural genomics sheds light on protein functions and remote homologs across the insect tree of life

description: This repository contains all gene alignments, gene trees, and protein structures.The compressed files correspond to different topics in our study.Note that the compressed structure files are large, totaling about 710 GB.Protein structures are also freely available on <b>T</b>he <b>I</b>nsect <b>P</b>rotein <b>S</b>tructure [TIPS] database (http://tips.shenxlab.com/). The web server offers options for searching, visualizing, and downloading protein structures, as well as accessing the comprehensive insect tree of life. Please let me know if you have any questions about them.email: xingxingshen@zju.edu.cn
DOI: 10.25452/figshare.plus.25906339.v1
title: Structural genomics sheds light on protein functions and remote homologs across the insect tree of life

description: This repository contains all gene alignments, gene trees, and protein structures.The compressed files correspond to different topics in our study.Note that the compressed structure files are large, totaling about 710 GB.Protein structures are also freely available on <b>T</b>he <b>I</b>nsect <b>P</b>rotein <b>S</b>tructure [TIPS] database (http://tips.shenxlab.com/). The web server offers options for searching, visualizing, and downloading protein structures, as well as accessing the comprehensive insect tree of life. Please let me know if you have any questions about them.email: xingxingshen@zju.edu.cn
DOI: 10.5281/zenodo.18099684
title: In-situ infra-red monitoring of powder bed fusion laser beam (PBF-LB) for density prediction and closed loop control using supervised machine learning models for nitinol shape memory alloy

description: Data repository used for journal paper: In-situ infra-red monitoring of powder bed fusion laser beam (PBF-LB) for density prediction and closed loop control using supervised machine learning models for nitinol shape memory alloy

Contains the following datasets:



Sample process parameter dataset

IR dataset

Relative density dataset

machine learning results and metric

Random forests regressor trained model

Source code