cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17843230
title: Benchmarking_tissue_preparation_Stage2

description: This dataset consists of two folders: 

1) data_mesmer, which contains the .csv files of single-cell marker signal intensity data from Mesmer cell segmentation for all experiments. These files were used as input for the data preprocessing and visualization pipeline. Refer to the ‘README.md’ for more details.

2) data_cellXpress, which contains the .csv files of single-cell marker signal intensity data from cellXpress2 cell segmentation for all experiments. These files were used as input for the data preprocessing and visualization pipeline. Refer to the ‘README.md’ for more details.

Codes used can be found at https://github.com/SizunJiangLab/Benchmarking_tissue_preparation/ .
DOI: 10.6084/m9.figshare.30871580
title: RAPIDS Datasets

description: This is the dataset from the RAPIDS project. It contains 1,095 records, collected from research administrators in 2024.The project aims to address the lack of objective tools to measure the professional identity of Research Administrators (RAs) worldwide, hindering the recognition and consolidation of the profession. By developing a Research Administration Professional IDentity Values Scale (RAPIDS), this endeavor seeks to provide insights into the core values and professional identity of RAs, benefiting current practitioners, prospective career seekers, professional associations such as NCURA, and policymakers. Through a mixed-methods approach, including literature review, expert interviews, focus groups, and surveys, the project aims to create and validate RAPIDS, enabling individuals to understand their professional identity in research administration and fostering the profession's growth and impact. Ultimately, RAPIDS will contribute to global efforts in advancing the field of research administration and nurturing a collective professional identity among practitioners.<br>
DOI: 10.6084/m9.figshare.30871580.v1
title: RAPIDS Datasets

description: This is the dataset from the RAPIDS project. It contains 1,095 records, collected from research administrators in 2024.The project aims to address the lack of objective tools to measure the professional identity of Research Administrators (RAs) worldwide, hindering the recognition and consolidation of the profession. By developing a Research Administration Professional IDentity Values Scale (RAPIDS), this endeavor seeks to provide insights into the core values and professional identity of RAs, benefiting current practitioners, prospective career seekers, professional associations such as NCURA, and policymakers. Through a mixed-methods approach, including literature review, expert interviews, focus groups, and surveys, the project aims to create and validate RAPIDS, enabling individuals to understand their professional identity in research administration and fostering the profession's growth and impact. Ultimately, RAPIDS will contribute to global efforts in advancing the field of research administration and nurturing a collective professional identity among practitioners.<br>
DOI: 10.17026/ar/xtbpvz
title: PAN-00104943 - coin/coin-related, Constantinus I (306-337), nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00104943&lt;/p&gt;
description: Modified: 2025-05-26T11:28:38+02:00
DOI: 10.5281/zenodo.17600428
title: Plotting routines and data files for 2504.03514 and 2504.03516

description: # Plot making routines and data files for papers 2504.03514 and 2504.03516 accepted to PRD and PRL respectively.

@article{Florio:2025lvu,    author = "Florio, Adrien and Grossi, Eduardo and Mazeliauskas, Aleksas and Soloviev, Alexander and Teaney, Derek",    title = "{Quenching through the QCD chiral phase transition}",    eprint = "2504.03514",    archivePrefix = "arXiv",    primaryClass = "hep-lat",  journal = {Phys. Rev. D},  volume = {112},  issue = {11},  pages = {114019},  numpages = {27},  year = {2025},  publisher = {American Physical Society},  doi = {10.1103/plfm-z5xx},  url = {https://link.aps.org/doi/10.1103/plfm-z5xx}}

@article{Florio:2025zqv,  title = "{Supercooled Goldstone Bosons at the QCD Chiral Phase Transition}",  author = {Florio, Adrien and Grossi, Eduardo and Mazeliauskas, Aleksas and Soloviev, Alexander and Teaney, Derek},    eprint = "2504.03516",    archivePrefix = "arXiv",    primaryClass = "hep-ph",  journal = {Phys. Rev. Lett.},  volume = {135},  issue = {24},  pages = {242303},  numpages = {7},  year = {2025},  publisher = {American Physical Society},  doi = {10.1103/wyn4-ncdc},  url = {https://link.aps.org/doi/10.1103/wyn4-ncdc}}
DOI: 10.5281/zenodo.17600429
title: Plotting routines and data files for 2504.03514 and 2504.03516

description: # Plot making routines and data files for papers 2504.03514 and 2504.03516 accepted to PRD and PRL respectively.

@article{Florio:2025lvu,    author = "Florio, Adrien and Grossi, Eduardo and Mazeliauskas, Aleksas and Soloviev, Alexander and Teaney, Derek",    title = "{Quenching through the QCD chiral phase transition}",    eprint = "2504.03514",    archivePrefix = "arXiv",    primaryClass = "hep-lat",  journal = {Phys. Rev. D},  volume = {112},  issue = {11},  pages = {114019},  numpages = {27},  year = {2025},  publisher = {American Physical Society},  doi = {10.1103/plfm-z5xx},  url = {https://link.aps.org/doi/10.1103/plfm-z5xx}}

@article{Florio:2025zqv,  title = "{Supercooled Goldstone Bosons at the QCD Chiral Phase Transition}",  author = {Florio, Adrien and Grossi, Eduardo and Mazeliauskas, Aleksas and Soloviev, Alexander and Teaney, Derek},    eprint = "2504.03516",    archivePrefix = "arXiv",    primaryClass = "hep-ph",  journal = {Phys. Rev. Lett.},  volume = {135},  issue = {24},  pages = {242303},  numpages = {7},  year = {2025},  publisher = {American Physical Society},  doi = {10.1103/wyn4-ncdc},  url = {https://link.aps.org/doi/10.1103/wyn4-ncdc}}
DOI: 10.15468/dl.8b6sa5
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-90.54843 7.19737,-77.65186 7.19737,-77.65186 14.32581,-90.54843 14.32581,-90.54843 7.19737)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platymiscium pinnatum"
 ]
}

 The dataset includes 101 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049734-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/gjtnob
title: PAN-00179514 - tobacco pipe (pipe clay)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00179514&lt;/p&gt;
description: Modified: 2025-09-10T15:20:33+02:00
DOI: 10.18738/t8/kuic2f
title: RNA Sequencing

description: Bulk RNA sequencing of naive splenic CD4 T-lymphocytes activated ex vivo using anti-CD3/28 stimulation for 24 hours. Samples include 3 wild-types and 3 hemoglobin a1 (hba-a1) T-lymphocyte-specific knock outs
DOI: 10.6084/m9.figshare.29132594
title: Supplementary Data for "Targeting Genomic Alterations and Cancer Signaling with Integrative Multi-Omics, Deep Learning and Network Biology in Medical Oncology"

description: Multiple genetic and epigenetic alterations characterize tumor progression and define hallmarks of cancer. It may result in dysregulation of growth factors, regulatory proteins, cell adhesion molecules, and molecules of immune system driven by alterations in the expression profile of tumor suppressor genes and oncogenes that may vary among different cancer types. Importantly, patients with the same cancer type respond differently to available cancer treatments, likely due to tumor-specific DNA, RNA, and proteins, indicating the need for patient-specific treatment options. Precision oncology has evolved as a form of cancer therapy that is focused on genetic and molecular profiling of tumors to identify specific molecular alterations involved in carcinogenesis for tailored individualized cancer treatment. Advances in high-throughput technologies, that include next-generation sequencing, have enabled gene expression profiling, providing detailed molecular characterization of various tumors. Moreover, the application of multiomic technologies, including genomics, proteomics, metabolomics, and single-cell multiomics, constitutes a novel approach for the identification and quantification of a comprehensive set of biological molecules to study how they translate into cellular functions and tissue pathologies. Integration and analysis of various multiomic sequencing data are crucial in this regard, as they can reveal critical molecular changes, such as cancer-driving mutations, post-translational modifications, gene fusions, amplifications, and alterations in signaling networks within tumors. Furthermore, the role of computational techniques such as artificial intelligence and deep learning, in analyzing complex data and identifying patterns of disease development for better outcomes is now well established in precision medicine. Additionally, AI-powered multi-omics and network biology have been harnessed to integrate and analyze biological data through networks, which may prove crucial in solving key problems facing precision oncology. This article aims to briefly explain the foundations and frontiers of precision oncology in the context of cutting-edge developments in tools and techniques associated with it, and try to assess its scope and importance in achieving the intended goals over time.<br>
DOI: 10.6084/m9.figshare.29132594.v1
title: Supplementary Data for "Targeting Genomic Alterations and Cancer Signaling with Integrative Multi-Omics, Deep Learning and Network Biology in Medical Oncology"

description: Multiple genetic and epigenetic alterations characterize tumor progression and define hallmarks of cancer. It may result in dysregulation of growth factors, regulatory proteins, cell adhesion molecules, and molecules of immune system driven by alterations in the expression profile of tumor suppressor genes and oncogenes that may vary among different cancer types. Importantly, patients with the same cancer type respond differently to available cancer treatments, likely due to tumor-specific DNA, RNA, and proteins, indicating the need for patient-specific treatment options. Precision oncology has evolved as a form of cancer therapy that is focused on genetic and molecular profiling of tumors to identify specific molecular alterations involved in carcinogenesis for tailored individualized cancer treatment. Advances in high-throughput technologies, that include next-generation sequencing, have enabled gene expression profiling, providing detailed molecular characterization of various tumors. Moreover, the application of multiomic technologies, including genomics, proteomics, metabolomics, and single-cell multiomics, constitutes a novel approach for the identification and quantification of a comprehensive set of biological molecules to study how they translate into cellular functions and tissue pathologies. Integration and analysis of various multiomic sequencing data are crucial in this regard, as they can reveal critical molecular changes, such as cancer-driving mutations, post-translational modifications, gene fusions, amplifications, and alterations in signaling networks within tumors. Furthermore, the role of computational techniques such as artificial intelligence and deep learning, in analyzing complex data and identifying patterns of disease development for better outcomes is now well established in precision medicine. Additionally, AI-powered multi-omics and network biology have been harnessed to integrate and analyze biological data through networks, which may prove crucial in solving key problems facing precision oncology. This article aims to briefly explain the foundations and frontiers of precision oncology in the context of cutting-edge developments in tools and techniques associated with it, and try to assess its scope and importance in achieving the intended goals over time.<br>
DOI: 10.15468/dl.aqh2xv
title: Occurrence Download

description: A dataset containing 124406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Calypte costae)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 124406 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049708-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/6gap-5a95
title: "Casselman Fall 2008 Soil Moisture"

description: "This is a dataset of surface volumetric soil moisture collected using ThetaProbes. Measurements were taken on bare agricultural fields near Casselman, Ontario, Canada. Data collection occurred in the Fall of 2008 (October 10 and November 6) after fall harvest."
DOI: 10.5281/zenodo.17914488
title: Częstość występowania, uciążliwość oraz wpływ na zachowania związane ze zdrowiem dolegliwości bólowych o typie kolki nerkowej oraz kamicy układu moczowego w populacji Polski

description: Objawy kolki nerkowej i kamicy układu moczowego to częsty problem, zwłaszcza w populacjach krajów rozwiniętych. 

 

Celem badania było przeprowadzenie pierwszego w Polsce badania populacyjnego oceniającego częstość występowania, uciążliwość oraz wpływ na jakość życia i zachowania związane ze zdrowiem objawów o typie kolki nerkowej i kamicy układu moczowego.
DOI: 10.5281/zenodo.17914489
title: Częstość występowania, uciążliwość oraz wpływ na zachowania związane ze zdrowiem dolegliwości bólowych o typie kolki nerkowej oraz kamicy układu moczowego w populacji Polski

description: Objawy kolki nerkowej i kamicy układu moczowego to częsty problem, zwłaszcza w populacjach krajów rozwiniętych. 

 

Celem badania było przeprowadzenie pierwszego w Polsce badania populacyjnego oceniającego częstość występowania, uciążliwość oraz wpływ na jakość życia i zachowania związane ze zdrowiem objawów o typie kolki nerkowej i kamicy układu moczowego.
DOI: 10.17026/ar/idn5k9
title: PAN-00175445 - pinch lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175445&lt;/p&gt;
description: Modified: 2025-10-29T11:35:58+01:00
DOI: 10.15468/dl.dba22q
title: Occurrence Download

description: A dataset containing 407200 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quelea quelea"
 ]
}

 The dataset includes 407200 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049670-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2sz2v
title: Occurrence Download

description: A dataset containing 14933 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Circus cinereus Vieillot, 1816"
 ]
}

 The dataset includes 14933 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037647-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kybrcb
title: Occurrence Download

description: A dataset containing 118369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinopterygii",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((130.06 -25.03,130.06 -8.30,157.61 -8.30,157.61 -25.03,130.06 -25.03))",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 118369 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085361-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c92drz
title: Occurrence Download

description: A dataset containing 6419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "TaxonKey is Pedicularis gyroflexa Vill."
 ]
}

 The dataset includes 6419 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014396-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e25r8s
title: Occurrence Download

description: A dataset containing 8189 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "Country is Mexico",
 {
 "or" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is naturgucker"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Odonata",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8189 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037648-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmshut
title: Occurrence Download

description: A dataset containing 72123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galium odoratum (L.) Scop."
 ]
}

 The dataset includes 72123 records from 381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085365-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6ahte
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maxillaria chacoensis Dodson"
 ]
}

 The dataset includes 37 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0176387-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnptqx
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.68454 45.32173,16.92147 44.59768,21.05281 44.59768,32.38206 43.74586,33.02092 55.50102,15.26041 56.56579,12.74754 55.96952,13.68454 45.32173))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Actaea europaea (Schipcz.) Compton"
 ]
}

 The dataset includes 116 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014395-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ozvtok
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parambassis ranga (Hamilton, 1822)"
 ]
}

 The dataset includes 254 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037653-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7uzrdm
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vasconcellea quercifolia A.St.-Hil.",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 96 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085368-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fp3t23
title: Occurrence Download

description: A dataset containing 525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sarcoptes Latreille, 1802"
 ]
}

 The dataset includes 525 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007741-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2wm5t
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Norway",
 "Country is Sweden",
 "Country is Finland"
 ]
 },
 "Geometry POLYGON((2.09828 63.53666,7.49386 53.96864,18.28502 56.19839,27.27766 59.99603,39.56759 64.71379,43.16464 68.84005,32.37348 71.3858,17.38576 70.99927,2.09828 63.53666))",
 "HasCoordinate is true",
 "TaxonKey is Vulpes lagopus (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 2 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037679-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3voyld
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stellera chamaejasme L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 478 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085370-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndvmv2
title: Occurrence Download

description: A dataset containing 14205 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MOSS - Herbário Dárdano de Andrade Lima"
 ]
}

 The dataset includes 14205 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037682-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6syw4c
title: Occurrence Download

description: A dataset containing 59425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Country is Mexico",
 "TaxonKey is Halictidae"
 ]
}

 The dataset includes 59425 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063557-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svtd0q
title: Occurrence Download

description: A dataset containing 208106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ciconia ciconia (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 208106 records from 252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085373-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.