cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17411292
title: Visium spatial transcriptomic data of hormone therapy-naïve localised prostate cancer and adjacent benign tissue

description: This dataset contans proceseed Visium spatial transcriptomic data associated with the 10X Visium experiments in Apostolov et al, Single-Cell and Spatial Transcriptomic Profiling Reveals Epithelial Functional States and Fibroblast Phenotypes in Hormone Therapy-Naïve Localized Prostate Cancer.  This is the second of two datasets associated with this study. Processed 10X Chromium scRNA-seq data can be found in the related Chromium dataset.

The Visium experiments consist of 10 slides captured with different Visium protocols, including fresh frozen (OCT) and FFPE (using both v1 and v2 probe sets). See the included metadata for a mapping between samples and Visium experiments. This dataset contains MEX-format count matrices produced by spaceranger (v1.3.1 for OCT and FFPE v1; v3.0.1 for FFPE v2), filtered for spots under tissue, as well as the spatial/ directory produced by spaceranger for each experiment. Other spaceranger outputs are available on request.

OCT-derived Visium libraries were generated using the standard 10x Genomics reference transcriptome refdata-gex-GRCh38-2020-A (based on the GRCh38 genome assembly with GENCODE v32 annotations) while FFPE-derived Visium libraries were generated using the Visium Human Transcriptome Probe Set v2.0 (GRCh38-2020-A; 10x Genomics).
DOI: 10.5067/aqua/modis/l3b/poc/2022.0
title: Aqua MODIS Level-3 Global Binned Particulate Organic Carbon (POC) Data, version 2022.0
DOI: 10.5067/aqua/modis/l3b/rrs/2022.0
title: Aqua MODIS Level-3 Global Binned Remote-Sensing Reflectance (RRS) Data, version 2022.0
DOI: 10.5067/aqua/modis/l3m/chl/2022.0
title: Aqua MODIS Level-3 Global Mapped Chlorophyll (CHL) Data, version 2022.0
DOI: 10.5067/aqua/modis/l3m/flh/2022.0
title: Aqua MODIS Level-3 Global Mapped Fluorescence Line Height (FLH) Data, version 2022.0
DOI: 10.5067/aqua/modis/l3m/iop/2022.0
title: Aqua MODIS Level-3 Global Mapped Inherent Optical Properties (IOP) Data, version 2022.0
DOI: 10.15468/dl.rjzauh
title: Occurrence Download

description: A dataset containing 3185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Furcraea foetida",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 3185 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059579-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/aqua/modis/l3m/kd/2022.0
title: Aqua MODIS Level-3 Global Mapped Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Data, version 2022.0
DOI: 10.5067/aqua/modis/l3m/par/2022.0
title: Aqua MODIS Level-3 Global Mapped Photosynthetically Active Radiation (PAR) Data, version 2022.0
DOI: 10.5281/zenodo.17196024
title: Input Pharmacogenomics Datasets

description: Input data for calculating drug response profiles from CTRPv2, GDSCv1, GDSCv2, PRISM (released in 2020) and PRISM runs 21-26. Doses are log transformed.
DOI: 10.5281/zenodo.17981848
title: Input Pharmacogenomics Datasets

description: Input data for calculating drug response profiles from CTRPv2, GDSCv1, GDSCv2, PRISM (released in 2020) and PRISM runs 21-26. Doses are log transformed.
DOI: 10.5067/aqua/modis/l3m/pic/2022.0
title: Aqua MODIS Level-3 Global Mapped Particulate Inorganic Carbon (PIC) Data, version 2022.0
DOI: 10.5067/aqua/modis/l3m/poc/2022.0
title: Aqua MODIS Level-3 Global Mapped Particulate Organic Carbon (POC) Data, version 2022.0
DOI: 10.4231/gdmk-6x15
title: Open-Ended Pipe Pile Installation and Static Load Test Data from DIC Calibration Chamber Experiments in Uniform Sand Samples

description: &lt;p&gt;The plugging behavior of an open-ended pipe pile during installation influences its axial load capacity. This dataset contains: jacking resistance and incremental filling ratio (IFR) measured during model pile installation; load-displacement curves and IFR measured during static load tests; displacement and strain fields obtained using digital image correlation at various points of interest during the experiments. The test variables included two pile diameters (44 mm and 63 mm), three relative densities (loose, medium dense, and dense), and two different inner shaft surface roughnesses (smooth and rough). &lt;/p&gt;
description: This dataset contains sensor and image-based measurements from digital image correlation (DIC) calibration chamber tests performed in uniform sand samples. The experiments focused on plug formation and its influence in axial load capacity.
DOI: 10.4231/5wve-2d38
title: Data for: Spatial averaging for light reflection and transmission through cold atom arrays

description: &lt;p&gt;This data is for a paper where we theoretically and computationally investigated the role that the spatial spread of atoms plays in the transmission and reflection of weak light from atom arrays. In particular, we investigated whether coherent wave functions for the atoms&rsquo; positions leads to different results from a thermal distribution with the same spatial spread. We found that the coherence is not relevant when the light is weak and the electronic states evolve on time scales shorter than the oscillation period of the atoms in their traps. Full numerical calculations and derivations using the sudden approximation showed that reflection and transmission agree with the simple averaging over atom positions for these conditions. For parameters outside these restrictions, the simple spatial averaging may lead to inaccurate results.&lt;/p&gt;
description: Data used in the figures of article in Phys. Rev. A (2025) with short information in FILE_INFO.txt. Also contains .eps files and gnuplot routines.
DOI: 10.4231/s460-h323
title: Cotton Production in Republican China: A Longitudinal Dataset (1919-1937)

description: &lt;p&gt;The dataset provides granular, county-level data on cotton acreage, yield, and the cultivation of both native and foreign (American upland) cotton varieties in Republican China from 1919 to 1937. It offers a detailed perspective on the spatial and temporal dynamics of agricultural change during this critical period.  It is further augmented by geospatial data on the locations of cotton mills, agricultural experiment stations, and treaty ports, allowing for an examination of the relationship between colonial-industrial-scientific development and agricultural production. The dataset was constructed through a meticulous process of transcription, validation, error correction, and georeferencing, drawing from a variety of primary sources, including the publications of the Chinese Cotton Millowners Association and other contemporary industry reports.&lt;/p&gt;
description: A granular, county-level dataset on cotton production in Republican China from 1919 to 1937.
DOI: 10.5281/zenodo.17372602
title: Chromium scRNA-seq data of hormone therapy-naïve localised prostate cancer and adjacent benign tissue

description: This dataset contans proceseed scRNA-seq data associated with the 10X Chromium experiments in Apostolov et al, Single-Cell and Spatial Transcriptomic Profiling Reveals Epithelial Functional States and Fibroblast Phenotypes in Hormone Therapy-Naïve Localized Prostate Cancer. This is the first of two datasets associated with this study. Processed Visium spatial transcriptomic data can be found in the related Visium dataset.

The Chromium experiments consist of 16 multiplexed captures (PCa1 ~ PCa16), each containing three samples of either localised prostate tumour or adjacent benign tissue from 24 patients naïve to hormone therapy. This dataset contains outputs from cellranger v3.1 for each of the 16 captures, excluding bam files (*).

Individual barcodes from each multiplexed capture were assigned to samples via souporcell (commit 790b281dbe) based on genotypes derived from SNP microarray experiments(*). This dataset also includes clusters_annotated.tsv for each of the sixteen captures, showing the barcode-sample assignments from souporcell. For each capture we have also included full_GPb_diff_scores_cluster_genotype.tsv and matched_GPb_diff_scores_cluster_genotype.tsv from vireosnp, which were used to souporcell results by comparing the genotypes from the SNP clusters identified by souporcell to the known genotypes derived from microarray data.

The full dataset can be explored interactively at CELLxGENE, which includes rich cell-type and other annotations. Working AnnData and Seurat objects can be downloaded from CELLxGENE for the full cohort as well as cell type specific subsets.

(*) Raw fastqs and raw and processed microarray data have been deposited on EGA as part of EGAS00001008332, along with bam files produced by cellranger and a VCF file containing genotypes for all samples derived from microarrays.
DOI: 10.5281/zenodo.17372603
title: Chromium scRNA-seq data of hormone therapy-naïve localised prostate cancer and adjacent benign tissue

description: This dataset contans proceseed scRNA-seq data associated with the 10X Chromium experiments in Apostolov et al, Single-Cell and Spatial Transcriptomic Profiling Reveals Epithelial Functional States and Fibroblast Phenotypes in Hormone Therapy-Naïve Localized Prostate Cancer. This is the first of two datasets associated with this study. Processed Visium spatial transcriptomic data can be found in the related Visium dataset.

The Chromium experiments consist of 16 multiplexed captures (PCa1 ~ PCa16), each containing three samples of either localised prostate tumour or adjacent benign tissue from 24 patients naïve to hormone therapy. This dataset contains outputs from cellranger v3.1 for each of the 16 captures, excluding bam files (*).

Individual barcodes from each multiplexed capture were assigned to samples via souporcell (commit 790b281dbe) based on genotypes derived from SNP microarray experiments(*). This dataset also includes clusters_annotated.tsv for each of the sixteen captures, showing the barcode-sample assignments from souporcell. For each capture we have also included full_GPb_diff_scores_cluster_genotype.tsv and matched_GPb_diff_scores_cluster_genotype.tsv from vireosnp, which were used to souporcell results by comparing the genotypes from the SNP clusters identified by souporcell to the known genotypes derived from microarray data.

The full dataset can be explored interactively at CELLxGENE, which includes rich cell-type and other annotations. Working AnnData and Seurat objects can be downloaded from CELLxGENE for the full cohort as well as cell type specific subsets.

(*) Raw fastqs and raw and processed microarray data have been deposited on EGA as part of EGAS00001008332, along with bam files produced by cellranger and a VCF file containing genotypes for all samples derived from microarrays.
DOI: 10.4231/h8nn-ca98
title: Chemical characterization of polymer and chloride content in waste plastic materials using pyrolysis - direct analysis in real time - high-resolution mass spectrometry

description: &lt;div class="abstract-content selected" id="eng-abstract"&gt;
&lt;p&gt;The increasing global demand for plastic has raised the need for effective waste plastic management due to its long lifetime and resistance to environmental degradation. There is a need for rapid plastic identification to improve the mechanical waste plastic sorting process. This study presents a novel application of Temperature-Programmed Desorption-Direct Analysis in Real Time-High Resolution Mass Spectrometry (TPD-DART-HRMS) that enables rapid characterization of various plastics. This technique was applied on four commercially available reference polymers (polyethylene, polypropylene, polystyrene, polyvinyl chloride) as well as three &quot;waste&quot; plastic samples of mixed origin. These waste plastic samples were obtained as discards from various industrial processes with limited analytical characterization data. Through the application of CH&lt;sub&gt;2&lt;/sub&gt; Kendrick mass defect (KMD) grouping, characteristic trends in the mass spectra of each sample were identified, allowing for a simplified numerical comparison. This approach utilized a robust statistical approach using the Tanimoto coefficient, allowing for the quantitative measures of similarity between standards and unknown samples. The application of this mathematical evaluation methodology was used to identify plastic types and to distinguish structurally similar polymers. Additionally, we report that a chloride ion clustering effect with copper substrate can identify chlorinated polymer PVC (polyvinyl chloride) utilizing pyro-(-)DART-HRMS mode. PVC polymer is of particular interest in recycling due to its high chloride content, which can present technical challenges for some types of recycling. We found that chloride ion clusters are a good screening marker for the presence of chlorinated polymers in mixed waste plastic samples. This study can possibly help advance rapid and accurate analytical techniques for identifying the composition of waste plastics to advance the effectiveness of the waste plastic sorting process.&lt;/p&gt;
&lt;/div&gt;
description: This study presents a novel application of Temperature-Programmed Desorption-Direct Analysis in Real Time-High Resolution Mass Spectrometry (TPD-DART-HRMS) that enables rapid characterization of various plastics.
DOI: 10.5067/aqua/modis/l3m/rrs/2022.0
title: Aqua MODIS Level-3 Global Mapped Remote-Sensing Reflectance (RRS) Data, version 2022.0
DOI: 10.4231/gsvz-d752
title: Code and data for Chavas Knaff Klotzbach (2025) A Simple Model for Predicting Tropical Cyclone Minimum Central Pressure from Intensity and Size

description: &lt;p&gt;Chavas, D.R., Knaff, J.A. and Klotzbach, P., 2025. A simple model for predicting tropical cyclone minimum central pressure from intensity and size. &lt;i&gt;Weather and Forecasting&lt;/i&gt;. Early Online Release. &lt;span class="typography-body "&gt;&lt;a class="c-Button--link" href="https://doi.org/10.1175/WAF-D-24-0031.1" target="_blank"&gt;https://doi.org/10.1175/WAF-D-24-0031.1&lt;/a&gt; &lt;/span&gt;&lt;/p&gt;
description: Simple model equation to predict minimum pressure in a tropical cyclone from maximum wind speed and size
DOI: 10.4231/stn5-2979
title: Modeling N2O emission from the pan-Arctic terrestrial ecosystems

description: &lt;p&gt;Nitrous oxide (N&lt;sub&gt;2&lt;/sub&gt;O) is a potent greenhouse gas with its radiative forcing 265-298 times stronger than that of carbon dioxide (CO&lt;sub&gt;2&lt;/sub&gt;). Recent field studies show N&lt;sub&gt;2&lt;/sub&gt;O emissions from northern high latitude (north of 45&deg;N) ecosystems have increased due to warming. However, the emissions across space and time have not been adequately quantified. Here we revise the Terrestrial Ecosystem Model (TEM) to incorporate more detailed processes of soil nitrogen (N) biogeochemical cycling, permafrost thawing effects, and atmospheric N deposition. TEM is then used to analyze N&lt;sub&gt;2&lt;/sub&gt;O emissions from natural terrestrial ecosystems in the region. &lt;/p&gt;
description: This dataset contains the main codes and data for the N2O emissions quantification from pan-Arctic terrestrial ecosystems on a process-based biogeochemical model.
DOI: 10.5067/aqua/modis/l4b/avw/2022.0
title: Aqua MODIS Level-4 Global Binned Apparent Visible Wavelength (AVW) Data, version 2022.0
DOI: 10.4231/gcmb-0246
title: Code and data for Kiefer et al. (2025) The Climatological Relationship Between United States Tornadoes and Extratropical Cyclones

description: &lt;p&gt;Code and data for Kiefer et al. (2025) The Climatological Relationship Between United States Tornadoes and Extratropical Cyclones&lt;/p&gt;
description: Code and data for Kiefer et al. (2025) The Climatological Relationship Between United States Tornadoes and Extratropical Cyclones
DOI: 10.4231/pyv7-w139
title: Quantifying global biological nitrogen fixation with in-situ data and a process-based biogeochemistry model

description: &lt;p&gt;Code, run example and results for this study. &lt;/p&gt;
description: We refine the nitrogen cycling in a terrestrial ecosystem model by incorporating symbiotic and free-living nitrogen fixation along with atmospheric nitrogen deposition effects. Our updated model provides a new assessment of present-day and future BNF
DOI: 10.15468/dl.sg4v5x
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Protapes gallus, Cytherea ventricola, Paphia gallus, Paphia malabarica, Tapes lentiginosa, Tapes malabarica, Tapes malabarica, Venus gallus, Venus malabarica, Venus rhombifera)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059580-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/aqua/modis/l4b/carbon/2022.0
title: Aqua MODIS Level-4 Global Binned Carbon Data, version 2022.0
DOI: 10.4231/eqp0-at15
title: Introduction histories and climatic distribution patterns of three congeneric invasive anurans

description: &lt;p&gt;We use publicly sourced occurrence data from GBIF to reconstruct the invasion histories and compare climatic patterns between native and invasive regions of three congeneric anurans in the genus &lt;em&gt;Eleutherodactylus &lt;/em&gt;&lt;/p&gt;
description: Here, we synthesize occurrence records of three congeneric invasive anurans to determine common climatic patterns associated with their establishment into new regions
DOI: 10.5067/aqua/modis/l4b/gsm/2022.0
title: Aqua MODIS Level-4 Global Binned Garver-Siegel-Maritorena Model (GSM) Data, version 2022.0
DOI: 10.4231/myqx-n317
title: Data for Regulation of MLOs by Calmodulin Binding Domains

description: &lt;p&gt;This publication includes raw data used for examining the role of calmodulin binding domains in regulating trafficking  of MLO proteins during pollen tube reception.  Description of methods used, data analysis, and interpretation of data can be found in Yuan, et al., Regulation of MILDEW RESISTANCE LOCUS-O  trafficking by calmodulin-binding domains. Journal of Experimental Botany.  in press, 2025&lt;/p&gt;
description: Raw data used for analyzing the role of CaMBDs in pollen tube reception
DOI: 10.4231/7n7b-2494
title: Data for Chavas Camargo Tippett 2025 JC tropical cyclone ventilated genesis potential index

description: &lt;p&gt;Data files for the figures in Chavas Camargo Tippett (2025, JC).&lt;/p&gt;

&lt;p&gt;Chavas, D.R., Camargo, S.J. and Tippett, M.K., 2025. Tropical cyclone genesis potential using a ventilated potential intensity. Journal of Climate. https://doi.org/10.1175/JCLI-D-24-0186.1&lt;/p&gt;

&lt;p&gt;Abstract: Genesis potential indices (GPIs) are widely used to understand the climatology of tropical cyclones (TCs). However, the sign of projected future changes depends on how they incorporate environmental moisture. Recent theory combines potential intensity and mid-tropospheric moisture into a single quantity called the ventilated potential intensity, which removes this ambiguity. This work proposes a new GPI (&lt;i&gt;GPI&lt;sub&gt;v&lt;/sub&gt;&lt;/i&gt;) that is proportional to the product of the ventilated potential intensity and the absolute vorticity raised to a power. This power is estimated to be approximately 5 by fitting observed tropical cyclone best-track and ECMWF Reanalysis v5 (ERA5) data. Fitting the model with separate exponents yields nearly identical values, indicating that their product likely constitutes a single joint parameter. Likewise, results are nearly identical for a Poisson model as for the power law. &lt;i&gt;GPI&lt;sub&gt;v&lt;/sub&gt;&lt;/i&gt; performs comparably well to existing indices in reproducing the climatological distribution of tropical cyclone genesis and its covariability with El Ni&ntilde;o-Southern Oscillation, while only requiring a single fitting exponent. When applied to Coupled Model Intercomparison Project Phase 6 (CMIP6) projections, &lt;i&gt;GPI&lt;sub&gt;v&lt;/sub&gt;&lt;/i&gt; predicts that environments globally will become gradually more favorable for TC genesis with warming, consistent with prior work based on the normalized entropy deficit, though significant changes emerge only at higher latitudes under relatively strong warming. &lt;i&gt;GPI&lt;sub&gt;v&lt;/sub&gt;&lt;/i&gt; helps resolve the debate over the treatment of the moisture term and its implication for changes in TC genesis favorability with warming, and its clearer physical interpretation may offer a step forward towards a theory for genesis across climate states.&lt;/p&gt;

&lt;p&gt;Chavas, D.R., Camargo, S.J. and Tippett, M.K., 2025. Tropical cyclone genesis potential using a ventilated potential intensity. Journal of Climate. https://doi.org/10.1175/JCLI-D-24-0186.1&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;
description: Data files for the figures in Chavas Camargo Tippett (2025, JC). 

Chavas, D.R., Camargo, S.J. and Tippett, M.K., 2025. Tropical cyclone genesis potential using a ventilated potential intensity. Journal of Climate. https://doi.org/10.11
DOI: 10.4231/fqqn-dr77
title: Code file for Rmax prediction model and relevant data used in the analyses (Chavas and Knaff 2022, Weather and Forecasting)

description: &lt;p&gt;Code to predict the radius of maximum wind (Rmax) in a hurricane from the radius of 34kt wind, maximum wind speed, and storm center latitude, as described in Chavas and Knaff (2022). The model is fast (runs in &lt; 1s on a personal laptop). It can be used to provide first-order prediction of Rmax in real-time operational forecasting as well as for synthetic storm wind fields used in risk assessment. The model is an empirical equation that based on theory governing the physics of angular momentum in a hurricane but whose coefficients are fit to observational data to minimize bias and optimize its application to real storms in nature.&lt;/p&gt;

&lt;p&gt;Ref: Chavas D.R. and J. A.. Knaff (2022). A simple model for predicting the tropical cyclone radius of maximum wind from outer size. Wea. For.. https://&lt;/p&gt;
description: Simple MATLAB code to predict Rmax from R34kt as explained in Chavas and Knaff (2022) Eq. 2-4 + Eq 7.
DOI: 10.5067/aqua/modis/l4m/avw/2022.0
title: Aqua MODIS Level-4 Global Mapped Apparent Visible Wavelength (AVW) Data, version 2022.0