cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/aa0aa5ea5d1107dac1210fb46518d48c
title: High-frequency, hourly, and daily measurements from Canada Glacier Meteorological Station (CAAM), McMurdo Dry Valleys, Antarctica (1994-2024, ongoing)

description: As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Canada Glacier Meteorological Station (CAAM), which was established in 1994 within the ablation zone of Canada Glacier, between the Hoare and Fryxell Basins of Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, incoming and outgoing shortwave radiation, wind speed and direction, and surface (snow/ice) temperature. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
DOI: 10.15468/dl.v99d9h
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eugenia pleurocarpa Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016995-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwx6uy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eugenia praeterita Mc Vaugh)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016996-250127130748423/datasets/export for details.
DOI: 10.15468/dl.y9qdv8
title: Occurrence Download

description: A dataset containing 1436618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ziziphus abyssinica Hochst. ex A.Rich., Ziziphus angustifolia (Miq.) Hatus. ex Steenis, Ziziphus cambodiana Pierre, Ziziphus cotinifolia Reissek, Ziziphus glabrata (B.Heyne ex Schult.) B.Heyne ex Wight & Arn., Ziziphus hajarensis Duling, Ghaz. & H.D.V.Prendergast, Ziziphus horrida Roth, Ziziphus hutchinsonii Merr., Ziziphus incurva Roxb., Ziziphus angustifolia (Miq.) Hatus. ex Steenis, Ziziphus jujuba Mill., Ziziphus laui Merr., Ziziphus mairei Dode, Ziziphus mauritiana Lam., Rhamnaceae, Ziziphus montana W.W.Sm., Ziziphus mucronata Willd., Ziziphus nummularia (Burm.fil.) Wight & Arn., Ziziphus oenopolia (L.) Mill., Ziziphus oxyphylla Edgew., Ziziphus pubescens Oliv., Ziziphus pubinervis Rehder, Ziziphus quadrilocularis F.Muell., Ziziphus rivularis Codd, Ziziphus robertsoniana Beentje, Ziziphus rugosa Lam., Ziziphus spina-christi (L.) Desf., Ziziphus talanae (Blanco) Merr., Ziziphus timoriensis DC., Ziziphus truncata Blatt. & Hallb., Ziziphus xiangchengensis Y.L.Chen & P.K.Chou, Ziziphus xylopyrus (Retz.) Willd.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1436618 records from 3590 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016991-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15624230
title: Perception As Geometric Collapse

description: This paper proposes a geometric resolution model for perception and quantum measurement, reframing the classical double-slit experiment as a dimensional mismatch between wavefront continuity and spatial observation. By modeling visual perception as a collapse of curvature onto a flattened detection surface—mirroring how the retina linearizes incoming light—the work bridges cognitive processes with quantum field behavior. It argues that quantum uncertainty arises not from intrinsic randomness, but from geometric tension during projection collapse across dimensional boundaries. The model further explores how modifying slit geometry or detection surfaces could empirically validate this theory, offering a new lens for interpreting consciousness, measurement, and physical field continuity.
DOI: 10.5281/zenodo.15624231
title: Perception As Geometric Collapse

description: This paper proposes a geometric resolution model for perception and quantum measurement, reframing the classical double-slit experiment as a dimensional mismatch between wavefront continuity and spatial observation. By modeling visual perception as a collapse of curvature onto a flattened detection surface—mirroring how the retina linearizes incoming light—the work bridges cognitive processes with quantum field behavior. It argues that quantum uncertainty arises not from intrinsic randomness, but from geometric tension during projection collapse across dimensional boundaries. The model further explores how modifying slit geometry or detection surfaces could empirically validate this theory, offering a new lens for interpreting consciousness, measurement, and physical field continuity.
DOI: 10.15468/dl.dr2kw9
title: Occurrence Download

description: A dataset listing the 2925 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 {
 "or" : [
 "Geometry POLYGON((2.35277 37.24421,38.64723 37.24421,38.64723 51.75579,2.35277 51.75579,2.35277 37.24421))",
 "Geometry POLYGON((19.82219 45.26473,19.82219 45.264,19.82834 45.26388,19.82796 45.26462,19.82859 45.2648,19.82875 45.26523,19.82841 45.26538,19.82695 45.2652,19.8257 45.2652,19.824 45.26498,19.82219 45.26473))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 2925 records were derived from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068388-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3gudj
title: Occurrence Download

description: A dataset containing 2547 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Formica exsecta Nylander, 1846"
 ]
}

 The dataset includes 2547 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037286-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqjr2z
title: Occurrence Download

description: A dataset containing 5158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendropsophus minutus (Peters, 1872)"
 ]
}

 The dataset includes 5158 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007296-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.19841
title: Chandra X-ray Observatory ObsId 19841

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.w9sfv5
title: Occurrence Download

description: A dataset containing 4655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Litsea cubeba (Lour.) Pers."
 ]
}

 The dataset includes 4655 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180040-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.09620
title: Chandra X-ray Observatory ObsId 09620

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.mrucwc
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Squaliforma emarginata (Valenciennes, 1840)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 272 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007297-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.09625
title: Chandra X-ray Observatory ObsId 09625

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.zq7e46
title: Occurrence Download

description: A dataset containing 650 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anoplophora chinensis (Forster, 1771)"
 ]
}

 The dataset includes 650 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064128-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.09629
title: Chandra X-ray Observatory ObsId 09629

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.xejb99
title: Occurrence Download

description: A dataset containing 3242213 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Argentina"
 ]
}

 The dataset includes 3242213 records from 1328 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004446-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.09634
title: Chandra X-ray Observatory ObsId 09634

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.ey3bqf
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Anfibios y reptiles de las regiones Chimalapas (7) y bosque de coníferas y BMM de Veracruz (11)",
 "TaxonKey is Aquiloeurycea cafetalera (Parra-Olea, Rovito, Márquez-Valdelmar, Cruz, Murrieta-Galindo & Wake, 2010)"
 ]
}

 The dataset includes 154 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069713-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6egvc
title: Occurrence Download

description: A dataset containing 40606 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptantha Lehm. ex G.Don"
 ]
}

 The dataset includes 40606 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050464-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bet5c5
title: Occurrence Download

description: A dataset containing 97007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Prunus spinosa L."
 ]
}

 The dataset includes 97007 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004493-250415084134356/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.28816331
title: New consumption and urban industrial resilience

description: New consumption and urban industrial resilience
DOI: 10.5281/zenodo.15233039
title: Flu Forecasts for: A Cluster-Aggregate-Pool (CAP) Ensemble Algorithm for Improved Forecast Performance of influenza-like illness
DOI: 10.5281/zenodo.15233040
title: Flu Forecasts for: A Cluster-Aggregate-Pool (CAP) Ensemble Algorithm for Improved Forecast Performance of influenza-like illness
DOI: 10.15468/dl.pbuaf2
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guizotia abyssinica",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 498 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019390-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udxprf
title: Occurrence Download

description: A dataset containing 638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guizotia abyssinica",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 638 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019391-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2g3pz8
title: CCDC 2267680: Experimental Crystal Structure Determination

description: Related Article: Han-Fei Liu, Wan-Jun Pu, Ting Zhao, Xiao-Die Shu, Jun-Jie Lan, Chao Chen, Wei-Dong Pan, Ni Zhang, Jin-Yu Li|2026|Phytochemistry|241|114660|doi:10.1016/j.phytochem.2025.114660
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.cc2kwkcd
title: CCDC 2379974: Experimental Crystal Structure Determination

description: Related Article: Pierre Arnaut, Nestor Bracho Pozsoni, Denys Bondar, Petra Lippmann, Susanne Boschuk, Ivan Semenyuta, Subhrajyoti Bhandary, Kristof Van Hecke, Yevgen Karpichev, Enrico Cavarzerani, Vincenzo Canzonieri, Flavio Rizzolio, Thomas Scattolin, Georgios C. Vougioukalakis, Ingo Ott, Nikolaos V. Tzouras, Steven P. Nolan|2025|Chemical Science|16|17221|doi:10.1039/d5sc04490a
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.cc2kwkdf
title: CCDC 2379975: Experimental Crystal Structure Determination

description: Related Article: Pierre Arnaut, Nestor Bracho Pozsoni, Denys Bondar, Petra Lippmann, Susanne Boschuk, Ivan Semenyuta, Subhrajyoti Bhandary, Kristof Van Hecke, Yevgen Karpichev, Enrico Cavarzerani, Vincenzo Canzonieri, Flavio Rizzolio, Thomas Scattolin, Georgios C. Vougioukalakis, Ingo Ott, Nikolaos V. Tzouras, Steven P. Nolan|2025|Chemical Science|16|17221|doi:10.1039/d5sc04490a
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.cc2kwkfg
title: CCDC 2379976: Experimental Crystal Structure Determination

description: Related Article: Pierre Arnaut, Nestor Bracho Pozsoni, Denys Bondar, Petra Lippmann, Susanne Boschuk, Ivan Semenyuta, Subhrajyoti Bhandary, Kristof Van Hecke, Yevgen Karpichev, Enrico Cavarzerani, Vincenzo Canzonieri, Flavio Rizzolio, Thomas Scattolin, Georgios C. Vougioukalakis, Ingo Ott, Nikolaos V. Tzouras, Steven P. Nolan|2025|Chemical Science|16|17221|doi:10.1039/d5sc04490a
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.cc2kwkgh
title: CCDC 2379977: Experimental Crystal Structure Determination

description: Related Article: Pierre Arnaut, Nestor Bracho Pozsoni, Denys Bondar, Petra Lippmann, Susanne Boschuk, Ivan Semenyuta, Subhrajyoti Bhandary, Kristof Van Hecke, Yevgen Karpichev, Enrico Cavarzerani, Vincenzo Canzonieri, Flavio Rizzolio, Thomas Scattolin, Georgios C. Vougioukalakis, Ingo Ott, Nikolaos V. Tzouras, Steven P. Nolan|2025|Chemical Science|16|17221|doi:10.1039/d5sc04490a
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.17208512
title: Evolutionary Conservation and Hotspot Analysis of the p53 Tumor Suppressor Protein

description: Description

This dataset contains a comprehensive analysis of the p53 tumor suppressor protein, focusing on its evolutionary conservation, functional hotspots, and structural features. The included PDF report presents detailed figures, tables, and explanations of key conserved regions, domain architecture, and phylogenetic relationships. This project also highlights the identification of critical residues (hotspots) across species, providing insights into functional significance and evolutionary constraints.

The analysis was performed using sequence alignments, phylogenetic tree construction, domain mapping, and static 3D structural visualization. All Python and PyMOL scripts used for figure generation and data processing are available in the associated GitHub repository: https://github.com/efe4r/p53_Evolution_Project.

Motivation / Future Directions

Understanding the evolutionary conservation and functional hotspots of p53 deepens our knowledge of protein biology and its role in cancer research. This dataset aims to support further studies in molecular evolution, protein structure-function analysis, and therapeutic targeting. Future work could extend this approach to other tumor suppressor proteins, integrate dynamic 3D simulations, or explore mutation impacts. The project demonstrates a strong commitment to combining computational and structural biology methods to advance scientific understanding.
DOI: 10.5281/zenodo.17208513
title: Evolutionary Conservation and Hotspot Analysis of the p53 Tumor Suppressor Protein

description: Description

This dataset contains a comprehensive analysis of the p53 tumor suppressor protein, focusing on its evolutionary conservation, functional hotspots, and structural features. The included PDF report presents detailed figures, tables, and explanations of key conserved regions, domain architecture, and phylogenetic relationships. This project also highlights the identification of critical residues (hotspots) across species, providing insights into functional significance and evolutionary constraints.

The analysis was performed using sequence alignments, phylogenetic tree construction, domain mapping, and static 3D structural visualization. All Python and PyMOL scripts used for figure generation and data processing are available in the associated GitHub repository: https://github.com/efe4r/p53_Evolution_Project.

Motivation / Future Directions

Understanding the evolutionary conservation and functional hotspots of p53 deepens our knowledge of protein biology and its role in cancer research. This dataset aims to support further studies in molecular evolution, protein structure-function analysis, and therapeutic targeting. Future work could extend this approach to other tumor suppressor proteins, integrate dynamic 3D simulations, or explore mutation impacts. The project demonstrates a strong commitment to combining computational and structural biology methods to advance scientific understanding.
DOI: 10.5517/ccdc.csd.cc2m99dn
title: CCDC 2422011: Experimental Crystal Structure Determination

description: Related Article: Hemant K. Singh, Georgia A. Zissimou, Damian Pociecha, Martin Cigl, Anna Pietrzak, Piotr Kaszyński|2025|J.Mater.Chem.C|13|19285|doi:10.1039/d5tc02401c
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.cc2m99fp
title: CCDC 2422012: Experimental Crystal Structure Determination

description: Related Article: Hemant K. Singh, Georgia A. Zissimou, Damian Pociecha, Martin Cigl, Anna Pietrzak, Piotr Kaszyński|2025|J.Mater.Chem.C|13|19285|doi:10.1039/d5tc02401c
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.