cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wc23k5
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.7688 22.19913, -106.6188 22.19913, -106.6188 22.34913, -106.7688 22.34913, -106.7688 22.19913))"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032630-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kwu68
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catostomus platyrhynchus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032631-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17606235
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114g Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114g Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17606236
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114g Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114g Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17606180
title: Deep Learning–Based Full-Waveform Inversion of GPR Snowpack Data

description: This dataset contains the simulation files, labeled data, deep learning codes, and inversion results used in the study “Deep Learning–Based Full-Waveform Dual Parameter Inversion of Ground Penetrating Radar (GPR) Snowpack Data for Liquid Water Content Mapping.”

The repository includes input files for gprMax simulations, processed radar B-scans, ground-truth labeled data for supervised learning, synthetic and field inversion results, and Python codes implementing ViT–BiLSTM and Xception–ASPP deep learning architectures.

The data support the reproducibility of the study and enable further research in snowpack monitoring, cryosphere hydrology, and electromagnetic full-waveform inversion.
DOI: 10.5281/zenodo.17606181
title: Deep Learning–Based Full-Waveform Inversion of GPR Snowpack Data

description: This dataset contains the simulation files, labeled data, deep learning codes, and inversion results used in the study “Deep Learning–Based Full-Waveform Dual Parameter Inversion of Ground Penetrating Radar (GPR) Snowpack Data for Liquid Water Content Mapping.”

The repository includes input files for gprMax simulations, processed radar B-scans, ground-truth labeled data for supervised learning, synthetic and field inversion results, and Python codes implementing ViT–BiLSTM and Xception–ASPP deep learning architectures.

The data support the reproducibility of the study and enable further research in snowpack monitoring, cryosphere hydrology, and electromagnetic full-waveform inversion.
DOI: 10.15468/dl.5jh2xs
title: Occurrence Download

description: A dataset containing 37806 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CSIRO - Great Barrier Reef seabed biodiversity study 2003-2006"
 ]
}

 The dataset includes 37806 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032632-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4d5fm8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catostomus plebeius",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032634-251025141854904/datasets/export for details.
DOI: 10.15468/dl.v79w8w
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.6188 22.19913, -106.4688 22.19913, -106.4688 22.34913, -106.6188 22.34913, -106.6188 22.19913))"
 ]
}

 The dataset includes 14 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032633-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30616733
title: Database that support the paper physicochemical parameters shaping mosquito distribution in México City

description: This is the database that supports the paper "Water physicochemical parameters linked to mosquito diversity and arbovirus infection in Mexico City"
DOI: 10.6084/m9.figshare.30616733.v1
title: Database that support the paper physicochemical parameters shaping mosquito distribution in México City

description: This is the database that supports the paper "Water physicochemical parameters linked to mosquito diversity and arbovirus infection in Mexico City"
DOI: 10.5281/zenodo.17606250
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Institutswerden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.
DOI: 10.25345/c5np1wx8d
title: MassIVE MSV000099901 - Proteomic analysis (limited proteolysis and abundance based) of human coronavirus 229E infected immortalized human lung fibroblasts (MRC5) at 8, 16, and 24 hours post infection (whole cell lysate)
title: LiP assays performed on mock-infected and human coronavirus 229E-infected immortalized human lung fibroblasts (MRC5) cells (BTOL0001590). Samples were harvested at 8, 16, and 24 hours post infection (HCoV-299E). Samples are derived from human whole cell lysates (BTO:0004304). Mock-infected and human coronavirus 229E-infected immortalized human lung fibroblasts (MRC5) cells were collected at 8, 16, and 24 hours post infection (HCoV-299E). Cells were lysed by freeze thaw cycles and each replicate was split in half and treated for 1 minute with proteinase K and then trypsin and the other half just treated with trypsin prior to processing for proteomic analysis. The database searching was performed using FragPipe equipped with MSFragger, following the label-free quantification and match between runs (LFQ-MBR) workflow. The database search results were further processed using in-house codes which filtered and normalized the data, and added statistical parameters.
DOI: 10.15468/dl.4z98vz
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvia przewalskii"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032635-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z83e6r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catostomus santaanae",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032636-251025141854904/datasets/export for details.
DOI: 10.6084/m9.figshare.30616670
title: Rigidity-Driven Tail Extension Controls Interfacial Thickness in Polymer–Nanoparticle Composites

description: We employ coarse-grained molecular dynamics simulations to investigate interfacial reorganization in polymer-nanoparticle composites, focusing on the competing effects of chain rigidity ($K_{\text{bend}}$) and attractive strength ($\varepsilon$). Geometric constraints create a critical adsorption threshold $\varepsilon_k$. Below this threshold, increasing attraction converts loops and tails into extended trains, improving surface-parallel alignment. Beyond $\varepsilon_k$, saturation causes competitive displacement that fragments trains and reduces orientational order. Machine learning analysis identifies tail segment length $L_{\text{tail}}$ as the primary controlling parameter of interfacial thickness $\delta_{\mathrm{RMS}}$ (relative importance &gt;89\%). The derived scaling laws describe how rigidity enhances tail extension efficiency. Attractive strength influences thickness indirectly through its effect on $L_{\text{tail}}$ within adsorption saturation constraints. These results establish two design principles: using rigidity-controlled tail manipulation for precise thickness tuning and applying $\varepsilon_k$-optimized attraction to maximize adsorption efficiency. This provides concrete guidelines for engineering nanocomposite interfaces.
DOI: 10.6084/m9.figshare.30616670.v1
title: Rigidity-Driven Tail Extension Controls Interfacial Thickness in Polymer–Nanoparticle Composites

description: We employ coarse-grained molecular dynamics simulations to investigate interfacial reorganization in polymer-nanoparticle composites, focusing on the competing effects of chain rigidity ($K_{\text{bend}}$) and attractive strength ($\varepsilon$). Geometric constraints create a critical adsorption threshold $\varepsilon_k$. Below this threshold, increasing attraction converts loops and tails into extended trains, improving surface-parallel alignment. Beyond $\varepsilon_k$, saturation causes competitive displacement that fragments trains and reduces orientational order. Machine learning analysis identifies tail segment length $L_{\text{tail}}$ as the primary controlling parameter of interfacial thickness $\delta_{\mathrm{RMS}}$ (relative importance &gt;89\%). The derived scaling laws describe how rigidity enhances tail extension efficiency. Attractive strength influences thickness indirectly through its effect on $L_{\text{tail}}$ within adsorption saturation constraints. These results establish two design principles: using rigidity-controlled tail manipulation for precise thickness tuning and applying $\varepsilon_k$-optimized attraction to maximize adsorption efficiency. This provides concrete guidelines for engineering nanocomposite interfaces.
DOI: 10.15468/dl.6emjz7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catostomus tahoensis",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032637-251025141854904/datasets/export for details.
DOI: 10.15468/dl.uzp3aw
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , Phoebe angustifolia, , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032638-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17606273
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114g Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114g Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17606272
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114g Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114g Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17606035
title: Dataset for: Chatbot Interventions for Reducing Mental Health Symptoms in the United States – Systematic Review

description: This dataset contains the coded spreadsheet, codebook, and SPSS file used in the systematic review titled “Chatbot Interventions for Reducing Mental Health Symptoms in the United States.”The dataset includes 95 studies with variables such as chatbot type, mental health outcomes, methodology, sample size, and effect sizes.A codebook is included for clarity.
DOI: 10.5281/zenodo.17606036
title: Dataset for: Chatbot Interventions for Reducing Mental Health Symptoms in the United States – Systematic Review

description: This dataset contains the coded spreadsheet, codebook, and SPSS file used in the systematic review titled “Chatbot Interventions for Reducing Mental Health Symptoms in the United States.”The dataset includes 95 studies with variables such as chatbot type, mental health outcomes, methodology, sample size, and effect sizes.A codebook is included for clarity.
DOI: 10.15468/dl.m8vkj6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centrarchus macropterus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032639-251025141854904/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13727892
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.tw2wuw
title: Occurrence Download

description: A dataset containing 2862 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Forest bats in Peninsular Malaysia_2007-2009"
 ]
}

 The dataset includes 2862 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032640-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c7vuv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chalceus macrolepidotus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032641-251025141854904/datasets/export for details.
DOI: 10.15468/dl.h7v8ke
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , Phoebe attenuata, , , Phoebe attenuata, , , Phoebe attenuata, , , , , , , , , , , , Laurus attenuata, Ocotea attenuata, Laurus attenuata, , Ocotea attenuata, , , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 29 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032642-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17594331
title: "A unified genetic perturbation language for human cellular programming" accompanying data

description: Description of data:

crispr_all_seq_seurat_object.rds: CRISPR-All-seq Seurat object (package version 5.2.0) containing all cells assigned to a single perturbation. Metadata includes replicate (10x lane), donor (n=3), construct (assigned using deMULTIplex2; see paper methods for details), and class (type of assigned perturbation; Cholla=KO, PricklyPear=synthetic gene, Saguaro=gene overexpression, Torch=shRNA gene KD, or Kingcup=alternative CAR intracellular signaling domain).

pacbio_basescreen_bc_and_construct_assignments.csv: Three-column CSV containing identified barcode and construct for each read. Column names are ID (read), barcode, and construct. Briefly, barcodes are detected via a brute-force with 0 tolerated hamming distance and constructs are detected based on alignment to a custom reference using minimap2.

pacbio_comboscreen_bc_and_construct_assignments.csv: Ten-column CSV containing identified barcodes and constructs for each read. The columns titled signaling_bc, gene_bc, triplex_bc, ko_bc, and kd_bc contain the detected barcode for the respective perturbation type for that read (Key column contains the read ID). There is only one possible triplex barcode, called triplex, but it's presence indicates proper cloning/inclusion of the triplex sequence in the 3' UTR which stabilizes the transcript following gRNA and shRNA processing which separates the coding sequence from the stabilizing 3' polyA tail. The ko, kd, gene, and signaling columns indicate which construct is detected by alignment for each respective perturbation type. In short, 4 separate custom references are constructed for each perturbation type, and minimap2 is used to align reads to those references (see paper methods for more detail).

salmon.merged.gene_counts.csv: Bulk RNA-seq counts matrix generated via pseudoalignment with salmon, implemented within the nf-core/rnaseq pipeline. Rows contain genes and columns contain unique combinatorial constructs.

base_screen_amplicon_counts_matrix.csv: Counts matrix generated from amplicon sequencing of the base CACTUS library following a repetitive stimulation assay. Each column represents a sample (donor & timepoint) and each row represents a construct in the library.

combo_screen_amplicon_counts_matrix.csv: Counts matrix generated from amplicon sequencing of the combinatorial CACTUS library following a repetitive stimulation assay. Each column represents a sample (donor & timepoint) and each row represents a construct in the library. The construct names are in the following format: "KD_KO_Gene_Signaling."
DOI: 10.5281/zenodo.17594332
title: "A unified genetic perturbation language for human cellular programming" accompanying data

description: Description of data:

crispr_all_seq_seurat_object.rds: CRISPR-All-seq Seurat object (package version 5.2.0) containing all cells assigned to a single perturbation. Metadata includes replicate (10x lane), donor (n=3), construct (assigned using deMULTIplex2; see paper methods for details), and class (type of assigned perturbation; Cholla=KO, PricklyPear=synthetic gene, Saguaro=gene overexpression, Torch=shRNA gene KD, or Kingcup=alternative CAR intracellular signaling domain).

pacbio_basescreen_bc_and_construct_assignments.csv: Three-column CSV containing identified barcode and construct for each read. Column names are ID (read), barcode, and construct. Briefly, barcodes are detected via a brute-force with 0 tolerated hamming distance and constructs are detected based on alignment to a custom reference using minimap2.

pacbio_comboscreen_bc_and_construct_assignments.csv: Ten-column CSV containing identified barcodes and constructs for each read. The columns titled signaling_bc, gene_bc, triplex_bc, ko_bc, and kd_bc contain the detected barcode for the respective perturbation type for that read (Key column contains the read ID). There is only one possible triplex barcode, called triplex, but it's presence indicates proper cloning/inclusion of the triplex sequence in the 3' UTR which stabilizes the transcript following gRNA and shRNA processing which separates the coding sequence from the stabilizing 3' polyA tail. The ko, kd, gene, and signaling columns indicate which construct is detected by alignment for each respective perturbation type. In short, 4 separate custom references are constructed for each perturbation type, and minimap2 is used to align reads to those references (see paper methods for more detail).

salmon.merged.gene_counts.csv: Bulk RNA-seq counts matrix generated via pseudoalignment with salmon, implemented within the nf-core/rnaseq pipeline. Rows contain genes and columns contain unique combinatorial constructs.

base_screen_amplicon_counts_matrix.csv: Counts matrix generated from amplicon sequencing of the base CACTUS library following a repetitive stimulation assay. Each column represents a sample (donor & timepoint) and each row represents a construct in the library.

combo_screen_amplicon_counts_matrix.csv: Counts matrix generated from amplicon sequencing of the combinatorial CACTUS library following a repetitive stimulation assay. Each column represents a sample (donor & timepoint) and each row represents a construct in the library. The construct names are in the following format: "KD_KO_Gene_Signaling."
DOI: 10.15468/dl.7kfuv2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Channa argus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032643-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17598157
title: Modulating Iron Metabolism and Gut Microbiota: The Therapeutic Potential of Chia Seed Oil in Obesity-Related Diabetes
DOI: 10.5281/zenodo.17598158
title: Modulating Iron Metabolism and Gut Microbiota: The Therapeutic Potential of Chia Seed Oil in Obesity-Related Diabetes
DOI: 10.15468/dl.x4dy9j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Channa asiatica",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032644-251025141854904/datasets/export for details.