cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25913923
title: Fibrotic Extracellular Matrix Preferentially Induces a PartialEpithelial-Mesenchymal Transition Phenotype in a 3-D AgentBased Model of Fibrosis

description: Data and model files related to the publication "Fibrotic Extracellular Matrix Preferentially Induces a Partial<br>Epithelial-Mesenchymal Transition Phenotype in a 3-D Agent Based Model of Fibrosis"<br>Model: a Matlab agent-based 3-D model of Epithelial-Mesenchymal Transition, including intracellular TGF-beta signaling, extracellular secretion and diffusion of TGF-beta, cell morphological changes, and changes in extracellular matrix assembly.Data: outcomes from simulations of the above model.
DOI: 10.6084/m9.figshare.25913923.v1
title: Fibrotic Extracellular Matrix Preferentially Induces a PartialEpithelial-Mesenchymal Transition Phenotype in a 3-D AgentBased Model of Fibrosis

description: Data and model files related to the publication "Fibrotic Extracellular Matrix Preferentially Induces a Partial<br>Epithelial-Mesenchymal Transition Phenotype in a 3-D Agent Based Model of Fibrosis"<br>Model: a Matlab agent-based 3-D model of Epithelial-Mesenchymal Transition, including intracellular TGF-beta signaling, extracellular secretion and diffusion of TGF-beta, cell morphological changes, and changes in extracellular matrix assembly.Data: outcomes from simulations of the above model.
DOI: 10.15468/dl.7w9s3q
title: Occurrence Download

description: A dataset containing 878 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Holbrookia lacerata Cope, 1880"
 ]
}

 The dataset includes 878 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000473-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stnwrf
title: Occurrence Download

description: A dataset containing 293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megabalanus coccopoma (Darwin, 1854)"
 ]
}

 The dataset includes 293 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000474-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/bd3s-2z25
title: Proactive Identification Datasets - Kubernetes Performance of Boutique during Co-Location and Consolidation

description: Performance models identified at run-time can be used by self-adaptive software systems to execute decisions on a cloud environment. These performance models are built by measuring the control inputs, disturbances, and outputs of the controlled system. These models have been shown to accurately interpolate for data already seen by the model identification method. However, automation in cloud operations can push the environment into operational regions the system has not seen, thus the performance model may not accurately extrapolate into unseen regions. The unexplored operational regions can be the result of an expansion in the environment with the deployment of a co-located application or a reduction in environment resources with cloud consolidation. With more modern applications deployed on large-scale Kubernetes clusters, scaling up and down of applications is quite common. We propose a proactive dynamic model identification technique to predict the impact of cloud consolidation and co-location for large at-scale deployments. The method uses a Look-Ahead Scanner (LAS) mechanism that explores different operational regions through controllable perturbations at run-time on multiple cluster nodes. We evaluated the proposed method on realistic applications deployed in a large-scale cluster on public clouds. The datasets contain the performance metrics of a Kubernetes Cluster for Co-Location experiments, and Consolidation experiments used to build our performance models.
DOI: 10.15468/dl.jews49
title: Occurrence Download

description: A dataset containing 15009 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phrynosoma cornutum (Harlan, 1825)"
 ]
}

 The dataset includes 15009 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000475-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds005810.v1.0.1
title: NOD-MEG
DOI: 10.5281/zenodo.14714279
title: Dataset for Large Language Models Classification of Astronomical Transient : Survey Images, Labels, and Zooniverse Results

description: This dataset supports the study on the application of Large Language Models (LLMs) to astronomical transient classification. It contains data from three wide-field optical surveys: Pan-STARRS, MeerLICHT, and ATLAS, and includes the following components:





Survey Image Files



Image triplets (New, Reference, and Difference images) for each transient candidate in the three datasets.

Images are organized by survey (Pan-STARRS, MeerLICHT, and ATLAS).





Survey Label Files



Ground-truth classification labels for each candidate in the three surveys.

Labels include categories such as Real (e.g., transients and variable stars for MeerLICHT, and only explosive transients for Pan-STARRS and ATLAS) and Bogus (various types of artifacts), as determined by professional astronomers.





Zooniverse Classification Results



Results from the Zooniverse campaign evaluating the quality of Gemini’s outputs.

Includes responses from professional astronomers who rated the coherence of Gemini's classifications and explanations on a 0–5 scale.




Purpose:

The dataset is intended for researchers interested in exploring:



The use of LLMs for transient classification.

Ground-truth labels and their application in astronomical classification tasks.

Human evaluation of AI-generated outputs in astronomy.


Use and Citation:

Please cite this dataset using the DOI provided by Zenodo if used in your research. For details on the methodology, refer to the associated publication: "Large Language Models Enable Textual Interpretation of Image-Based Astronomical Transient Classifications", Under Review, 2025
DOI: 10.5281/zenodo.14561777
title: Dataset for Large Language Models Classification of Astronomical Transient : Survey Images, Labels, and Zooniverse Results

description: This dataset supports the study on the application of Large Language Models (LLMs) to astronomical transient classification. It contains data from three wide-field optical surveys: Pan-STARRS, MeerLICHT, and ATLAS, and includes the following components:





Survey Image Files



Image triplets (New, Reference, and Difference images) for each transient candidate in the three datasets.

Images are organized by survey (Pan-STARRS, MeerLICHT, and ATLAS).





Survey Label Files



Ground-truth classification labels for each candidate in the three surveys.

Labels include categories such as Real (e.g., transients and variable stars for MeerLICHT, and only explosive transients for Pan-STARRS and ATLAS) and Bogus (various types of artifacts), as determined by professional astronomers.





Zooniverse Classification Results



Results from the Zooniverse campaign evaluating the quality of Gemini’s outputs.

Includes responses from professional astronomers who rated the coherence of Gemini's classifications and explanations on a 0–5 scale.




Purpose:

The dataset is intended for researchers interested in exploring:



The use of LLMs for transient classification.

Ground-truth labels and their application in astronomical classification tasks.

Human evaluation of AI-generated outputs in astronomy.


Use and Citation:

Please cite this dataset using the DOI provided by Zenodo if used in your research. For details on the methodology, refer to the associated publication: "Large Language Models Enable Textual Interpretation of Image-Based Astronomical Transient Classifications", Under Review, 2025
DOI: 10.5281/zenodo.14561778
title: Dataset for Large Language Models Classification of Astronomical Transient : Survey Images, Labels, and Zooniverse Results

description: This dataset supports the study on the application of Large Language Models (LLMs) to astronomical transient classification. It contains data from three wide-field optical surveys: Pan-STARRS, MeerLICHT, and ATLAS, and includes the following components:





Survey Image Files



Image triplets (New, Reference, and Difference images) for each transient candidate in the three datasets.

Images are organized by survey (Pan-STARRS, MeerLICHT, and ATLAS).





Survey Label Files



Ground-truth classification labels for each candidate in the three surveys.

Labels include categories such as Real (e.g., transients and variable stars for MeerLICHT, and only explosive transients for Pan-STARRS and ATLAS) and Bogus (various types of artifacts), as determined by professional astronomers.





Zooniverse Classification Results



Results from the Zooniverse campaign evaluating the quality of Gemini’s outputs.

Includes responses from professional astronomers who rated the coherence of Gemini's classifications and explanations on a 0–5 scale.




Purpose:

The dataset is intended for researchers interested in exploring:



The use of LLMs for transient classification.

Ground-truth labels and their application in astronomical classification tasks.

Human evaluation of AI-generated outputs in astronomy.


Use and Citation:

Please cite this dataset using the DOI provided by Zenodo if used in your research. For details on the methodology, refer to the associated publication: "Large Language Models Enable Textual Interpretation of Image-Based Astronomical Transient Classifications", Under Review, 2025
DOI: 10.18112/openneuro.ds005356.v1.3.0
title: MEG: Major Depression Probabilistic Learning Task
DOI: 10.15468/dl.vzh35x
title: Occurrence Download

description: A dataset containing 3278 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phrynosoma coronatum (Blainville, 1835)"
 ]
}

 The dataset includes 3278 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000477-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8qdvb
title: Occurrence Download

description: A dataset containing 200281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-102.67614 20.00883,-100.74697 20.00883,-100.74697 21.58375,-102.67614 21.58375,-102.67614 20.00883))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 200281 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000471-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.taym5x
title: Occurrence Download

description: A dataset containing 18416 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-9.51151 52.86719,-8.00019 52.86719,-8.00019 53.65069,-9.51151 53.65069,-9.51151 52.86719))",
 "Geometry POLYGON((-11.42299 49.70562,2.62184 49.70562,2.62184 59.0267,-11.42299 59.0267,-11.42299 49.70562))",
 "Geometry POLYGON((-11.26808 49.71611,2.26562 49.71611,2.26562 59.38413,-11.26808 59.38413,-11.26808 49.71611))"
 ]
 },
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvidae",
 "Year 2024-2025"
 ]
}

 The dataset includes 18416 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000478-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15780/g2jq0p
title: CHIRPS: Rainfall Estimates from Rain Gauge and Satellite Observations
DOI: 10.5066/p1rjmrq5
title: Land use and socioeconomic time-series reveal legacy of redlining on present-day gentrification within a growing United States city.

description: Home Owners’ Loan Corporation (HOLC) maps illustrated patterns of segregation in United States cites in the 1930s. As the causes and drivers of demographic and land use segregation vary over years, these maps provide an important spatial lens in determining how patterns of segregation spatially and temporally developed during the course of the past century. Using a high-resolution land-use time series (1937-2018) of Denver Colorado USA, in conjunction with 80 years of U.S. Census data, we found divergent land-use and demographics patterns across HOLC categories were both pre-existent to the establishment of HOLC mapping, and continued to develop over time. Over this period, areas deemed “declining” or “hazardous” had more diverse land use compared “desirable” areas. “Desirable” areas were dominated by one land-use type (single-family residential), while single-family residential diminished in prominence in the “declining/hazardous” areas. This divergence became more established decades after HOLC mapping, with impact to racial metrics and low-income households. We found changes in these demographic patterns also occurred between 2000 and 2019, highlighting how processes like gentrification can develop from both rapid demographic and land-use changes. This study demonstrates how the legacy of urban segregation develops over decades and can simultaneously persist in some neighborhoods while providing openings for fast-paced gentrification in others.
DOI: 10.15472/8dfopo
title: Lista de armadillos presentes en los Llanos Orientales

description: Este conjunto de datos presenta la lista de Armadillos presentes en los Llanos Orientales, estructurada a partir del Plan de Acción para la conservación de los armadillos en los Llanos Orientales. Esta plan constituye un ejercicio de planificación de la biodiversidad de manera conjunta entre dos corporaciones regionales, Cormacarena y Corporinoquia, teniendo un impacto de carácter regional para toda la Orinoquia colombiana.

Abarca la información de cinco especies de armadillos presentes en la región, pertenecientes a la familia Dasypodidae, abarcan tres géneros y fue compilada en el 2014.
DOI: 10.5517/ccdc.csd.cc2l2393
title: CCDC 2385304: Experimental Crystal Structure Determination

description: Related Article: Akifumi Sumida, Akinori Saeki, Kyohei Matsuo, Kensuke Naka, Hiroaki Imoto|2025|Chemical Science|16|1126|doi:10.1039/D4SC06590E
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.cc2l23b4
title: CCDC 2385305: Experimental Crystal Structure Determination

description: Related Article: Akifumi Sumida, Akinori Saeki, Kyohei Matsuo, Kensuke Naka, Hiroaki Imoto|2025|Chemical Science|16|1126|doi:10.1039/D4SC06590E
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.cc2l23c5
title: CCDC 2385306: Experimental Crystal Structure Determination

description: Related Article: Akifumi Sumida, Akinori Saeki, Kyohei Matsuo, Kensuke Naka, Hiroaki Imoto|2025|Chemical Science|16|1126|doi:10.1039/D4SC06590E
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.cc2l23d6
title: CCDC 2385307: Experimental Crystal Structure Determination

description: Related Article: Akifumi Sumida, Akinori Saeki, Kyohei Matsuo, Kensuke Naka, Hiroaki Imoto|2025|Chemical Science|16|1126|doi:10.1039/D4SC06590E
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.cc2l23f7
title: CCDC 2385308: Experimental Crystal Structure Determination

description: Related Article: Akifumi Sumida, Akinori Saeki, Kyohei Matsuo, Kensuke Naka, Hiroaki Imoto|2025|Chemical Science|16|1126|doi:10.1039/D4SC06590E
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.cc2l23g8
title: CCDC 2385309: Experimental Crystal Structure Determination

description: Related Article: Akifumi Sumida, Akinori Saeki, Kyohei Matsuo, Kensuke Naka, Hiroaki Imoto|2025|Chemical Science|16|1126|doi:10.1039/D4SC06590E
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.cc2l23h9
title: CCDC 2385310: Experimental Crystal Structure Determination

description: Related Article: Akifumi Sumida, Akinori Saeki, Kyohei Matsuo, Kensuke Naka, Hiroaki Imoto|2025|Chemical Science|16|1126|doi:10.1039/D4SC06590E
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.cc2l23jb
title: CCDC 2385311: Experimental Crystal Structure Determination

description: Related Article: Akifumi Sumida, Akinori Saeki, Kyohei Matsuo, Kensuke Naka, Hiroaki Imoto|2025|Chemical Science|16|1126|doi:10.1039/D4SC06590E
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.cc2l2ctw
title: CCDC 2385568: Experimental Crystal Structure Determination

description: Related Article: Guofeng Zhang, Xue Hao, Yongbin Zou, Shichang Liu, Junjie Wei, Zhen Dong, Zhiwen Ye|2025|CrystEngComm|27|277|doi:10.1039/D4CE00981A
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: 10.18112/openneuro.ds005811.v1.0.4
title: NOD-EEG
DOI: 10.6084/m9.figshare.28248935
title: Data for "Resource availability and competition shape pollinator trophic specialization in longleaf pine savannas"

description: Realized trophic specialization, or the food resources with which a species interacts locally, is driven by a species fundamental niche, resource availability, and competition. However, the simultaneous effects of resource availability and competition on trophic specialization have yet to be investigated in plant-pollinator networks. Here, we disentangled the effects of resource availability (i.e., blooming plant diversity and abundance), and pollinator competitor pool (i.e., pollinator species richness, and abundance of conspecific and heterospecific pollinator individuals) on pollinator trophic specialization. We used samples collected over an entire flowering season in 24 xeric pine savannas in north-central Florida, USA and evaluated the effects of plant availability and pollinator competitor pool on three aspects of trophic specialization: taxonomic specialization (pollinator selection of plant species), phylogenetic specialization (pollinator selection of plant phylogenetic lineages), and functional specialization (pollinator selection of plant functional traits). Our results show that flowering resources and the pools of pollinator competitors both influence pollinator trophic specialization. Individual pollinators reacted to higher pollinator richness by interacting with more flowering plants (i.e.,taxonomically generalist), underscoring the vulnerability of pollination systems to pollinator extinctions (i.e., pollinators visit fewer plant species when there are fewer insect competitors present). Pollinators were more specialized in communities containing many conspecific pollinators, possibly reflecting pollinator preferences. Finally, in more diverse flowering plant assemblages, pollinators were taxonomic specialists in flower visitation but phylogenetic and functional generalists, providing pollination services across diverse plant assemblages.
DOI: 10.15468/dl.t3py5d
title: Occurrence Download

description: A dataset containing 656 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreo satelital de condor andino (Vultur gryphus) en Ecuador"
 ]
}

 The dataset includes 656 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000480-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5duccu
title: Occurrence Download

description: A dataset containing 1548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is CAN.2_1",
 "TaxonKey is Elgaria coerulea (Wiegmann, 1828)"
 ]
}

 The dataset includes 1548 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000481-250121130708018/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/10542197
title: Balochi Language to English Translation Dataset
DOI: 10.22002/dxgqf-tw269
title: Raw DFT data and supporting experimental data for "Thermodynamic properties of liquid metal using first-principles molecular dynamics: Implications for the compositional and thermal state of the Earth's outer core"