cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60712/si-id107853.1
title: StrainInfo SI-ID 107853.1

description: StrainInfo dataset 107853 about a strain of Synechocystis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107854.1
title: StrainInfo SI-ID 107854.1

description: StrainInfo dataset 107854 about a strain of Geitlerinema. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107702.1
title: StrainInfo SI-ID 107702.1

description: StrainInfo dataset 107702 about a strain of Leptolyngbya. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107703.1
title: StrainInfo SI-ID 107703.1

description: StrainInfo dataset 107703 about a strain of Pseudanabaena. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107704.1
title: StrainInfo SI-ID 107704.1

description: StrainInfo dataset 107704 about a strain of Nostoc. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107705.1
title: StrainInfo SI-ID 107705.1

description: StrainInfo dataset 107705 about a strain of Calothrix. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107763.1
title: StrainInfo SI-ID 107763.1

description: StrainInfo dataset 107763 about a strain of Calothrix. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107764.1
title: StrainInfo SI-ID 107764.1

description: StrainInfo dataset 107764 about a strain of Calothrix. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107765.1
title: StrainInfo SI-ID 107765.1

description: StrainInfo dataset 107765 about a strain of Synechococcus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107766.1
title: StrainInfo SI-ID 107766.1

description: StrainInfo dataset 107766 about a strain of Synechococcus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107767.1
title: StrainInfo SI-ID 107767.1

description: StrainInfo dataset 107767 about a strain of Synechococcus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107855.1
title: StrainInfo SI-ID 107855.1

description: StrainInfo dataset 107855 about a strain of Oscillatoria. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107856.1
title: StrainInfo SI-ID 107856.1

description: StrainInfo dataset 107856 about a strain of Leptolyngbya. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107857.1
title: StrainInfo SI-ID 107857.1

description: StrainInfo dataset 107857 about a strain of Lyngbya. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107858.1
title: StrainInfo SI-ID 107858.1

description: StrainInfo dataset 107858 about a strain of Synechocystis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107706.1
title: StrainInfo SI-ID 107706.1

description: StrainInfo dataset 107706 about a strain of Pseudanabaena. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107707.1
title: StrainInfo SI-ID 107707.1

description: StrainInfo dataset 107707 about a strain of Chamaesiphon. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id107708.1
title: StrainInfo SI-ID 107708.1

description: StrainInfo dataset 107708 about a strain of Oscillatoria. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.25549/pcra-ouc11399bp33
title: Druzheskoe slovo = Palavra do amigo = [A friendly word], vol. 6, no. 5 (May 1933)

description: Monthly
DOI: 10.25549/maw-ouc1sto1905001
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc1sto1875302
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc11399dlzl
title: Reclining female puppy

description: Potters produced thousands of thin orangeware effigy vessels. The curled-up dog with a rounded opening in the center of the dog's back became the most popular effigy. Many Mesoamericans believe dogs led the dead through the underworld after death. Either sculptures of dogs or real dogs were placed in many Teotihuacanos burials.
DOI: 10.25549/maw-ouc1sto1875742
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc1sto1905002
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/pcra-ouc11399bp2p
title: Druzheskoe slovo = Palavra do amigo = [A friendly word], vol. 5, no. 8 (August 1932)

description: Monthly
DOI: 10.4121/126d8103-6de5-4493-a48e-5d529fef471e
title: TNBC1-MxIF8: Multiplex immunofluorescence images of triple-negative breast cancer tissue (62 patients, 1010 ROIs, 8 channels)

description: This dataset contains multiplex immunofluorescence (MxIF) microscopy images of triple-negative breast cancer (TNBC) tissue used in the CLEAR-IT study. The dataset includes 1010 TIFF images from 62 patients, with image dimensions 1340 x 1008 pixels and pixel size 0.5 um. Each image contains 8 channels in the following order: DAPI, CK, CD3, CD68, CD8, CD56, CD20, and background (autofluorescence).<br>Files are provided as a single archive (TNBC1-MxIF8.zip) containing: images/ with image files named Pxx_ROIyy.tiff (xx = patient ID 01-62; yy = ROI index), and channels.txt listing channel names.A dataset README.txt is provided alongside the ZIP file and documents scope, structure, channel order, provenance, access conditions, and citation guidance.<br>The data were originally acquired and reported by Hammerl et al. (Nature Communications, 2021; DOI: 10.1038/s41467-021-25962-0) and are redistributed here for reproducibility of CLEAR-IT analyses. The images represent cancer tissue from TNBC patients and are intended for research use in computational pathology, tumor immunology, and machine learning (for example, cell phenotyping and representation learning).
DOI: 10.4121/126d8103-6de5-4493-a48e-5d529fef471e.v1
title: TNBC1-MxIF8: Multiplex immunofluorescence images of triple-negative breast cancer tissue (62 patients, 1010 ROIs, 8 channels)

description: This dataset contains multiplex immunofluorescence (MxIF) microscopy images of triple-negative breast cancer (TNBC) tissue used in the CLEAR-IT study. The dataset includes 1010 TIFF images from 62 patients, with image dimensions 1340 x 1008 pixels and pixel size 0.5 um. Each image contains 8 channels in the following order: DAPI, CK, CD3, CD68, CD8, CD56, CD20, and background (autofluorescence).<br>Files are provided as a single archive (TNBC1-MxIF8.zip) containing: images/ with image files named Pxx_ROIyy.tiff (xx = patient ID 01-62; yy = ROI index), and channels.txt listing channel names.A dataset README.txt is provided alongside the ZIP file and documents scope, structure, channel order, provenance, access conditions, and citation guidance.<br>The data were originally acquired and reported by Hammerl et al. (Nature Communications, 2021; DOI: 10.1038/s41467-021-25962-0) and are redistributed here for reproducibility of CLEAR-IT analyses. The images represent cancer tissue from TNBC patients and are intended for research use in computational pathology, tumor immunology, and machine learning (for example, cell phenotyping and representation learning).
DOI: 10.15468/dl.rsha9x
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Bodianus leucosticticus"
 ]
}

 The dataset includes 19 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001478-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xpm8b
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Eremogone capillaris",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 439 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001477-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-ouc11399bcr1
title: A letter to Andreev from Ponurko & But, 1955

description: The letter is of conformational style and agreement concerning uniting of AUECF and CEF in 1945 and recognition and support of the "August Agreement". The letter was directed on behalf of Gavril Gavrilovich Ponurko and Mikhail Sidorovich But to Aleksei Leonidovich Andreev, a senior presbyter of USSR. Kiev, 7 December 1955.
DOI: 10.25549/pcra-ouc11399bcrb
title: Galenko (ECB), letter, 1956, to Zhidkov

description: V.M. Galenko (Piatihatskaya Religious Community of Evangelical Christians-Baptists (ECB)), letter, 1956 September 6, to Yakov Ivanovich Zhidkov.
DOI: 10.6084/m9.figshare.31429055
title: <b>Much larger whole-profile soil organic carbon stocks on the Qinghai-Tibet Plateau than previously reported</b>

description: The Qinghai-Tibet Plateau (QTP), often referred as Earth’s "Third Pole", is warming nearly twice the global average, potentially amplifying carbon–climate feedbacks to a greater extent than in most other regions. However, substantial uncertainties remain regarding the magnitude, spatial distribution, and environmental controls of the region’s soil organic carbon (SOC) stocks. Here we compiled a comprehensive dataset of 2,442 soil profiles across the QTP and integrated it with high-resolution (90 m) environmental covariates to generate spatially explicit, depth-resolved SOC stock estimates using machine learning models. Independent validation using newly collected whole-profile SOC measurements (n = 53) demonstrated substantially improved predictive accuracy compared to existing global and regional mapping products (e.g., SoilGrids, HWSD, and WISE). Specifically, our estimates reached coefficients of determination (R2) of 0.63 and 0.49 for the 0–0.3 m topsoil and 0.3–1.0 m subsoil, respectively; while the existing mapping products only reached a R2 of 0.01–0.35 in the topsoil and 0.01–0.15 in the subsoil. Across the QTP, our results estimated a total SOC stock of 60.3 (95% confidence interval: 54.9–69.1) Pg C within the top 2 m of soil, with more than 60% stored below 0.3 m depth. This value is much larger than most of the existing estimates in the same region. Alpine meadows ecosystems accounted for approximately 38% of the total SOC stock, primarily due to their extensive coverage, while swamp meadow ecosystems exhibited the highest SOC densities. Spatial uncertainty was highest in the sparsely sampled northwestern QTP. Contemporary climate and paleoclimate factors collectively contributed over 50% to the explained variance in SOC distribution across the soil profile, highlighting the dominant role of climatic factors on SOC spatial pattern. This spatially explicit, high-resolution SOC mapping provides a baseline for constraining carbon–climate feedback assessments on the QTP and underscores the region’s heightened vulnerability to ongoing climate warming.
DOI: 10.6084/m9.figshare.31429055.v1
title: <b>Much larger whole-profile soil organic carbon stocks on the Qinghai-Tibet Plateau than previously reported</b>

description: The Qinghai-Tibet Plateau (QTP), often referred as Earth’s "Third Pole", is warming nearly twice the global average, potentially amplifying carbon–climate feedbacks to a greater extent than in most other regions. However, substantial uncertainties remain regarding the magnitude, spatial distribution, and environmental controls of the region’s soil organic carbon (SOC) stocks. Here we compiled a comprehensive dataset of 2,442 soil profiles across the QTP and integrated it with high-resolution (90 m) environmental covariates to generate spatially explicit, depth-resolved SOC stock estimates using machine learning models. Independent validation using newly collected whole-profile SOC measurements (n = 53) demonstrated substantially improved predictive accuracy compared to existing global and regional mapping products (e.g., SoilGrids, HWSD, and WISE). Specifically, our estimates reached coefficients of determination (R2) of 0.63 and 0.49 for the 0–0.3 m topsoil and 0.3–1.0 m subsoil, respectively; while the existing mapping products only reached a R2 of 0.01–0.35 in the topsoil and 0.01–0.15 in the subsoil. Across the QTP, our results estimated a total SOC stock of 60.3 (95% confidence interval: 54.9–69.1) Pg C within the top 2 m of soil, with more than 60% stored below 0.3 m depth. This value is much larger than most of the existing estimates in the same region. Alpine meadows ecosystems accounted for approximately 38% of the total SOC stock, primarily due to their extensive coverage, while swamp meadow ecosystems exhibited the highest SOC densities. Spatial uncertainty was highest in the sparsely sampled northwestern QTP. Contemporary climate and paleoclimate factors collectively contributed over 50% to the explained variance in SOC distribution across the soil profile, highlighting the dominant role of climatic factors on SOC spatial pattern. This spatially explicit, high-resolution SOC mapping provides a baseline for constraining carbon–climate feedback assessments on the QTP and underscores the region’s heightened vulnerability to ongoing climate warming.
DOI: 10.4121/ebc792ad-4767-4aef-b8ff-ae653e901e3f
title: CLEAR-IT supplementary data: models, embeddings, and analysis outputs for tumor microenvironment cell phenotyping

description: This dataset provides supplementary research data for the manuscript "CLEAR-IT, a framework for Contrastive Learning to Capture the Immune Composition of Tumor Microenvironments".<br>The archive contains derived and supporting artifacts used to reproduce the analyses, including precomputed embeddings, pretrained model weights, and precomputed output tables/results for benchmarking, ranking, SHAP analysis, survival analysis, and hyperparameter evaluation workflows.<br>The supplementary artifacts cover analyses on multiple cohorts/modalities used in the study:TNBC1-MxIF8 (Hammerl et al., 2021, https://doi.org/10.1038/s41467-021-25962-0; dataset record: https://doi.org/10.4121/126d8103-6de5-4493-a48e-5d529fef471e),TNBC2-MIBI44 (Keren et al., 2018, https://doi.org/10.1016/j.cell.2018.08.039; data resources: https://www.weizmann.ac.il/mcb/Keren/resources and https://www.angelolab.com/mibi-data),CRC-CODEX26 (Schurch et al., 2020, https://doi.org/10.1016/j.cell.2020.07.005; image resource: https://doi.org/10.7937/TCIA.2020.FQN0-0326),and TONSIL-IMC41 (Hunter et al., 2024, https://doi.org/10.1002/cyto.a.24803; image/segmentation resource: https://www.ebi.ac.uk/biostudies/bioimages/studies/S-BSST1047).<br>A README.MD file is included in the ZIP archive and provides the detailed folder inventory, file-level organization, and usage notes.<br>This record is intended to distribute reproducibility assets for the CLEAR-IT study. Dataset-specific source data provenance remains documented in the referenced original dataset records/publications.
DOI: 10.4121/ebc792ad-4767-4aef-b8ff-ae653e901e3f.v1
title: CLEAR-IT supplementary data: models, embeddings, and analysis outputs for tumor microenvironment cell phenotyping

description: This dataset provides supplementary research data for the manuscript "CLEAR-IT, a framework for Contrastive Learning to Capture the Immune Composition of Tumor Microenvironments".<br>The archive contains derived and supporting artifacts used to reproduce the analyses, including precomputed embeddings, pretrained model weights, and precomputed output tables/results for benchmarking, ranking, SHAP analysis, survival analysis, and hyperparameter evaluation workflows.<br>The supplementary artifacts cover analyses on multiple cohorts/modalities used in the study:TNBC1-MxIF8 (Hammerl et al., 2021, https://doi.org/10.1038/s41467-021-25962-0; dataset record: https://doi.org/10.4121/126d8103-6de5-4493-a48e-5d529fef471e),TNBC2-MIBI44 (Keren et al., 2018, https://doi.org/10.1016/j.cell.2018.08.039; data resources: https://www.weizmann.ac.il/mcb/Keren/resources and https://www.angelolab.com/mibi-data),CRC-CODEX26 (Schurch et al., 2020, https://doi.org/10.1016/j.cell.2020.07.005; image resource: https://doi.org/10.7937/TCIA.2020.FQN0-0326),and TONSIL-IMC41 (Hunter et al., 2024, https://doi.org/10.1002/cyto.a.24803; image/segmentation resource: https://www.ebi.ac.uk/biostudies/bioimages/studies/S-BSST1047).<br>A README.MD file is included in the ZIP archive and provides the detailed folder inventory, file-level organization, and usage notes.<br>This record is intended to distribute reproducibility assets for the CLEAR-IT study. Dataset-specific source data provenance remains documented in the referenced original dataset records/publications.
DOI: 10.15468/dl.npyqzh
title: Occurrence Download

description: A dataset containing 5149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zimmerius gracilipes",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5149 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001479-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-ouc11399bcqp
title: Struggle for peace, 1953

description: An article-appeal from AUECB addressed to presbyters of local churches concerning worsening of the war-political international situation, Moscow, 18 February 1953.
DOI: 10.15468/dl.vyb2xv
title: Occurrence Download

description: A dataset containing 1140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Festuca brachyphylla",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1140 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001482-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-ouc11399bcrp
title: Zhiubanov, letter, 1956, to Belovol

description: M.E. Zhiubanov, letter, 1956 [September?], Donbass, Dniporpetrovsk region, Ukraine, to P.S. Blovol. The letter (a copy) is attached to a letter from Yakov Ivanovich Zhidkov, 1956 September 7, to the All-Union Council of Evangelical Christians-Baptists (AUECB).
DOI: 10.15468/dl.uftwwx
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Bodianus perditio"
 ]
}

 The dataset includes 47 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001480-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.