cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive158748.20241212.9.2
title: Lactococcus petauri Goodman et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158749.20241212.9.2
title: Lonsdalea britannica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158750.20241212.9.2
title: Lonsdalea iberica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158752.20241212.9.2
title: Paracoccus litorisediminis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158755.20240916.9.1
title: Parapedobacter defluvii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158757.20241212.9.2
title: Rheinheimera salexigens Hayashi et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158760.20240916.9.1
title: Paenibacillus crassostreae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158761.20240916.9.1
title: Pseudomonas floridensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158764.20241212.9.2
title: Mitsuaria noduli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158765.20240916.9.1
title: Flavobacterium commune

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158767.20241212.9.2
title: Fictibacillus aquaticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158771.20241212.9.2
title: Micromonospora phytophila Carro et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158772.20240916.9.1
title: Antarcticibacterium flavum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158773.20240916.9.1
title: Aquicoccus porphyridii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5517/ccdc.csd.cc2dzy6k
title: CCDC 2234269: Experimental Crystal Structure Determination

description: Related Article: Yue Wang, Xingfu Wei, Aiqi Xue, Yue Huang, Jingping Qu, Baomin Wang|2024|Chem.Commun.|60|12864|doi:10.1039/D4CC04394D
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/ccdc.csd.cc2grhvl
title: CCDC 2286710: Experimental Crystal Structure Determination

description: Related Article: Yue Wang, Xingfu Wei, Aiqi Xue, Yue Huang, Jingping Qu, Baomin Wang|2024|Chem.Commun.|60|12864|doi:10.1039/D4CC04394D
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/ccdc.csd.cc2gt4zf
title: CCDC 2288295: Experimental Crystal Structure Determination

description: Related Article: Manoj Kumar, Shubham Singh, Parthasarathi Subramanian|2024|Chem.Commun.|60|12860|doi:10.1039/D4CC03031A
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/ccdc.csd.cc2h2bb8
title: CCDC 2296149: Experimental Crystal Structure Determination

description: Related Article: Maxime Steinmetz, Christophe Gourlaouen, David Sémeril|2024|Organics|5|1|doi:10.3390/org5010001
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/ccdc.csd.cc2h2bc9
title: CCDC 2296150: Experimental Crystal Structure Determination

description: Related Article: Maxime Steinmetz, Christophe Gourlaouen, David Sémeril|2024|Organics|5|1|doi:10.3390/org5010001
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: 10.5281/zenodo.14041292
title: SAUUHUPP-Based Explorations and Therapeutic Approaches for Cognitive, Emotional, and Behavioral Health

description: Dear Visitor,

 

Welcome to this Zenodo repository, a resource dedicated to SAUUHUPP-based explorations and potential therapeutics for the brain, mind, and cognitive, emotional, and behavioral health. Here, we bring together a collection of research and suggested approaches that utilize the principles of SAUUHUPP to provide fresh insights into these critical areas of human well-being.

 

The Self-Aware Universe in Universal Harmony over Universal Pixel Processing (SAUUHUPP) model offers a unique lens through which we can explore mental and physical health. Rather than focusing solely on symptom management, SAUUHUPP-based approaches encourage alignment between self-awareness and universal harmony, proposing that many health challenges arise when our mental and emotional states fall out of sync with adaptive patterns observed in nature and the universe.

 

In this repository, you will find:

 

1. Research and Explorations: Studies and papers explore how SAUUHUPP principles apply to mental, emotional, and behavioral health. These documents investigate the potential link between misaligned self-awareness and various health challenges, including PTSD, anxiety, ADHD, and addiction.

2. Suggested Therapeutics: SAUUHUPP-based therapeutics offer new possibilities in treatment by focusing on reprogramming self-awareness and reconnecting it with universal patterns. Techniques such as neurostimulation, recursive feedback, and structured educational sessions are designed to foster resilience, balance, and cognitive clarity.

3. Novel AI Insights and Computational Approaches: Inspired by SAUUHUPP, we delve into how concepts like fractal-based patterns, quantum-inspired dynamics, and recursive processing might enhance our understanding of mental health. This repository includes practical applications of these principles, from diagnosis to therapy design.

 

This repository is intended for researchers, mental health professionals, and anyone interested in pioneering approaches to health that align with both individual needs and broader, universal dynamics. We encourage you to explore these materials, adapt the insights, and consider how SAUUHUPP-based methods might complement existing practices in mental and emotional health.

 

Thank you for visiting. We hope these resources inspire new perspectives on the path to integrated and sustainable wellness.

 

Contact info: paradisepru@icloud.com
DOI: 10.5281/zenodo.14041293
title: SAUUHUPP-Based Explorations and Therapeutic Approaches for Cognitive, Emotional, and Behavioral Health

description: Dear Visitor,

 

Welcome to this Zenodo repository, a resource dedicated to SAUUHUPP-based explorations and potential therapeutics for the brain, mind, and cognitive, emotional, and behavioral health. Here, we bring together a collection of research and suggested approaches that utilize the principles of SAUUHUPP to provide fresh insights into these critical areas of human well-being.

 

The Self-Aware Universe in Universal Harmony over Universal Pixel Processing (SAUUHUPP) model offers a unique lens through which we can explore mental and physical health. Rather than focusing solely on symptom management, SAUUHUPP-based approaches encourage alignment between self-awareness and universal harmony, proposing that many health challenges arise when our mental and emotional states fall out of sync with adaptive patterns observed in nature and the universe.

 

In this repository, you will find:

 

1. Research and Explorations: Studies and papers explore how SAUUHUPP principles apply to mental, emotional, and behavioral health. These documents investigate the potential link between misaligned self-awareness and various health challenges, including PTSD, anxiety, ADHD, and addiction.

2. Suggested Therapeutics: SAUUHUPP-based therapeutics offer new possibilities in treatment by focusing on reprogramming self-awareness and reconnecting it with universal patterns. Techniques such as neurostimulation, recursive feedback, and structured educational sessions are designed to foster resilience, balance, and cognitive clarity.

3. Novel AI Insights and Computational Approaches: Inspired by SAUUHUPP, we delve into how concepts like fractal-based patterns, quantum-inspired dynamics, and recursive processing might enhance our understanding of mental health. This repository includes practical applications of these principles, from diagnosis to therapy design.

 

This repository is intended for researchers, mental health professionals, and anyone interested in pioneering approaches to health that align with both individual needs and broader, universal dynamics. We encourage you to explore these materials, adapt the insights, and consider how SAUUHUPP-based methods might complement existing practices in mental and emotional health.

 

Thank you for visiting. We hope these resources inspire new perspectives on the path to integrated and sustainable wellness.

 

Contact info: paradisepru@icloud.com
DOI: 10.5281/zenodo.14042142
title: SAUUHUPP-Based Explorations and Therapeutic Approaches for Cognitive, Emotional, and Behavioral Health

description: Dear Visitor,

 

Welcome to this Zenodo repository, a resource dedicated to SAUUHUPP-based explorations and potential therapeutics for the brain, mind, and cognitive, emotional, and behavioral health. Here, we bring together a collection of research and suggested approaches that utilize the principles of SAUUHUPP to provide fresh insights into these critical areas of human well-being.

 

The Self-Aware Universe in Universal Harmony over Universal Pixel Processing (SAUUHUPP) model offers a unique lens through which we can explore mental and physical health. Rather than focusing solely on symptom management, SAUUHUPP-based approaches encourage alignment between self-awareness and universal harmony, proposing that many health challenges arise when our mental and emotional states fall out of sync with adaptive patterns observed in nature and the universe.

 

In this repository, you will find:

 

1. Research and Explorations: Studies and papers explore how SAUUHUPP principles apply to mental, emotional, and behavioral health. These documents investigate the potential link between misaligned self-awareness and various health challenges, including PTSD, anxiety, ADHD, and addiction.

2. Suggested Therapeutics: SAUUHUPP-based therapeutics offer new possibilities in treatment by focusing on reprogramming self-awareness and reconnecting it with universal patterns. Techniques such as neurostimulation, recursive feedback, and structured educational sessions are designed to foster resilience, balance, and cognitive clarity.

3. Novel AI Insights and Computational Approaches: Inspired by SAUUHUPP, we delve into how concepts like fractal-based patterns, quantum-inspired dynamics, and recursive processing might enhance our understanding of mental health. This repository includes practical applications of these principles, from diagnosis to therapy design.

 

This repository is intended for researchers, mental health professionals, and anyone interested in pioneering approaches to health that align with both individual needs and broader, universal dynamics. We encourage you to explore these materials, adapt the insights, and consider how SAUUHUPP-based methods might complement existing practices in mental and emotional health.

 

Thank you for visiting. We hope these resources inspire new perspectives on the path to integrated and sustainable wellness.

 

Contact info: paradisepru@icloud.com
DOI: 10.5281/zenodo.14226696
title: SAUUHUPP-Based Explorations and Therapeutic Approaches for Cognitive, Emotional, and Behavioral Health

description: Dear Visitor,

 

Welcome to this Zenodo repository, a resource dedicated to SAUUHUPP-based explorations and potential therapeutics for the brain, mind, and cognitive, emotional, and behavioral health. Here, we bring together a collection of research and suggested approaches that utilize the principles of SAUUHUPP to provide fresh insights into these critical areas of human well-being.

 

The Self-Aware Universe in Universal Harmony over Universal Pixel Processing (SAUUHUPP) model offers a unique lens through which we can explore mental and physical health. Rather than focusing solely on symptom management, SAUUHUPP-based approaches encourage alignment between self-awareness and universal harmony, proposing that many health challenges arise when our mental and emotional states fall out of sync with adaptive patterns observed in nature and the universe.

 

In this repository, you will find:

 

1. Research and Explorations: Studies and papers explore how SAUUHUPP principles apply to mental, emotional, and behavioral health. These documents investigate the potential link between misaligned self-awareness and various health challenges, including PTSD, anxiety, ADHD, and addiction.

2. Suggested Therapeutics: SAUUHUPP-based therapeutics offer new possibilities in treatment by focusing on reprogramming self-awareness and reconnecting it with universal patterns. Techniques such as neurostimulation, recursive feedback, and structured educational sessions are designed to foster resilience, balance, and cognitive clarity.

3. Novel AI Insights and Computational Approaches: Inspired by SAUUHUPP, we delve into how concepts like fractal-based patterns, quantum-inspired dynamics, and recursive processing might enhance our understanding of mental health. This repository includes practical applications of these principles, from diagnosis to therapy design.

 

This repository is intended for researchers, mental health professionals, and anyone interested in pioneering approaches to health that align with both individual needs and broader, universal dynamics. We encourage you to explore these materials, adapt the insights, and consider how SAUUHUPP-based methods might complement existing practices in mental and emotional health.

 

Thank you for visiting. We hope these resources inspire new perspectives on the path to integrated and sustainable wellness.

 

Contact info: paradisepru@icloud.com
DOI: 10.15468/dl.bdbzfz
title: Occurrence Download

description: A dataset containing 30260847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-117.46636 32.922,-117.19419 31.34308,-116.37041 30.45064,-115.99284 29.28361,-114.86013 28.80306,-114.51688 28.1509,-115.64959 28.1509,-115.37499 27.22414,-113.86472 26.26305,-112.62903 25.81683,-112.76633 24.75277,-110.74119 23.48276,-110.36362 22.76195,-109.53983 22.17843,-108.85334 23.03655,-109.23091 23.79169,-110.32929 25.06169,-110.98146 26.43467,-112.14849 27.70468,-112.73201 28.73441,-113.72742 29.6955,-114.34526 31.13713,-113.31552 31.10281,-113.45282 30.24469,-112.21714 28.42549,-111.42768 27.739,-109.98605 26.29737,-109.43685 25.23331,-108.2355 24.16925,-106.31332 22.48735,-105.93575 21.286,-106.34765 20.22193,-105.42089 18.98625,-104.3225 18.50571,-103.39574 17.61327,-102.16006 17.47597,-101.13032 16.61786,-99.10518 16.10299,-97.4576 15.4165,-95.98165 14.97029,-95.05488 15.62245,-94.19677 15.79407,-91.69108 13.94055,-91.41649 15.65678,-89.94053 15.6911,-89.83756 16.58354,-90.24702 17.2357,-88.63377 17.5103,-87.32943 17.99084,-87.02052 19.53544,-86.09376 20.49653,-86.47132 21.90384,-89.01134 22.04113,-91.00216 21.45762,-90.93351 19.98166,-91.58568 19.29517,-93.98839 18.78031,-94.7092 19.02058,-95.67029 19.29517,-95.91056 20.39356,-96.59705 21.0114,-97.18057 22.6933,-97.2149 24.85574,-96.803 26.36602,-98.17598 26.43467,-98.86247 26.91521,-99.13707 27.91063,-99.78924 28.56279,-100.92194 30.07307,-102.29492 30.38199,-103.35898 29.66118,-104.14845 29.93577,-104.49169 31.06848,-106.00197 32.26984,-108.54199 32.33849,-108.54199 31.7893,-110.91037 31.7893,-114.54877 33.0593,-117.46636 32.922))"
 ]
}

 The dataset includes 30260847 records from 2639 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000759-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdyffw
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Euphractus proximus (Ameghino, 1887)"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026953-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7u273z
title: Occurrence Download

description: A dataset containing 61962 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rangifer tarandus (Linnaeus, 1758)"
 ]
}

 The dataset includes 61962 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198927-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4nsq5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anutaetus turtuosus (Ameghino, 1902)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026944-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k68ygu
title: Occurrence Download

description: A dataset containing 16363 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cernuella virgata (Da Costa, 1778)"
 ]
}

 The dataset includes 16363 records from 284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059845-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dyfdx
title: Occurrence Download

description: A dataset containing 117850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-6.31165 35.91063,-4.58899 36.08839,-3.67785 37.45558,-5.40637 37.67708,-6.71664 37.45558,-6.31165 35.91063))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 117850 records from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119277-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79gr8u
title: Occurrence Download

description: A dataset containing 3629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Garrulax chinensis (Scopoli, 1786))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3629 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059847-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7w5y2q
title: Occurrence Download

description: A dataset containing 9229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sceloporus olivaceus Smith, 1934"
 ]
}

 The dataset includes 9229 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073281-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.