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

description: A dataset containing 1167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Ploceus castaneiceps",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 1167 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080619-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ugcn9
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhacodactylus trachyrhynchus Bocage, 1873)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027037-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pp5hvb
title: Occurrence Download

description: A dataset containing 3681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Treron apicauda",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 3681 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087525-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byjgzv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium rechingeri Wendelbo"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012905-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ceyktw
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinalia bicolor (Lindl.) Kuntze"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080634-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eks6m3
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptophis nebulosus Oliver, 1942)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027063-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zcaft
title: Occurrence Download

description: A dataset containing 2877 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa costiniana Vickery"
 ]
}

 The dataset includes 2877 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087497-230530130749713/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.28874705
title: Assessment of Microvessel Isolation Protocol by real-time Quantitative Reverse Transcription Polymerase Chain Reaction to Gauge the Level of Capillary Enrichment

description: Relative quantification of mRNA transcripts in samples generated from whole murine brain (yellow), vessels collected after enrichment (blue), and microvessels collected after enrichment and filtration (pink). mRNA samples were probed for the relative levels of Acta2, Myh11, Cnn1, Ephb4, Nrf2f, Cldn5, and Pecam1, with TATA-binding protein (Tbp) referenced as the loading control. This analysis provided greater insight into the output from each collection technique with respect to microvessel content.
DOI: 10.6084/m9.figshare.27948597
title: Data for Transcriptomic-based classification identifies prognostic subtypes and therapeutic strategies in soft tissue sarcomas

description: <b>Data Sources and Descriptions</b>This study integrates transcriptomic and clinical data from three main sources to classify prognostic subtypes and identify therapeutic strategies in soft tissue sarcomas (STS):<b>1. TCGA-SARC Cohort</b><b>Source:</b> Genomic Data Commons (GDC) Portal<b>Content:</b> RNA-Seq gene expression data and associated clinical information from The Cancer Genome Atlas Sarcoma Project (TCGA-SARC).<b>Purpose:</b> Serves as an external validation cohort for subtype comparisons, differential expression, and survival analyses.<b>2. CINSARC Dataset</b><b>Source:</b> Code Ocean Capsule<b>Content:</b> Gene expression and clinical data from the original CINSARC study, including risk classification.<b>Purpose:</b> Used to validate prognostic gene signatures and assess cross-cohort subtype reproducibility.<b>3. Study Cohort (22-2290 F1RNA and F1CDx)</b>This dataset includes transcriptomic and clinical data from an in-house cohort of 82 soft tissue sarcoma patients.<b>Files and Descriptions:</b><code><strong>22-2290 Roche RNA GEP-COUNTS 01MAY2023.txt</strong></code><b>Content:</b> Raw gene expression counts obtained using the <i>FoundationOne RNA (F1RNA)</i> panel.<code><strong>OSPL_n=82_F1CDXRNA-RMC-RET-22-2290_SG44174_21FEB2023145617</strong></code><b>Content: </b>Data generated using the <i>FoundationOne CDx (F1CDx)</i> kit.<code><strong>Base de dados Clinica_update.csv</strong></code><b>Content:</b> Updated clinical annotations for the patient study cohort, including histology, treatment, and outcome data.<code><strong>Sarculator_Results.xlsx</strong></code><b>Content:</b> Prognostic predictions for each sample computed using the <i>Sarculator</i> tool (https://www.sarculator.com/).
DOI: 10.6084/m9.figshare.27948597.v2
title: Data for Transcriptomic-based classification identifies prognostic subtypes and therapeutic strategies in soft tissue sarcomas

description: <b>Data Sources and Descriptions</b>This study integrates transcriptomic and clinical data from three main sources to classify prognostic subtypes and identify therapeutic strategies in soft tissue sarcomas (STS):<b>1. TCGA-SARC Cohort</b><b>Source:</b> Genomic Data Commons (GDC) Portal<b>Content:</b> RNA-Seq gene expression data and associated clinical information from The Cancer Genome Atlas Sarcoma Project (TCGA-SARC).<b>Purpose:</b> Serves as an external validation cohort for subtype comparisons, differential expression, and survival analyses.<b>2. CINSARC Dataset</b><b>Source:</b> Code Ocean Capsule<b>Content:</b> Gene expression and clinical data from the original CINSARC study, including risk classification.<b>Purpose:</b> Used to validate prognostic gene signatures and assess cross-cohort subtype reproducibility.<b>3. Study Cohort (22-2290 F1RNA and F1CDx)</b>This dataset includes transcriptomic and clinical data from an in-house cohort of 82 soft tissue sarcoma patients.<b>Files and Descriptions:</b><code><strong>22-2290 Roche RNA GEP-COUNTS 01MAY2023.txt</strong></code><b>Content:</b> Raw gene expression counts obtained using the <i>FoundationOne RNA (F1RNA)</i> panel.<code><strong>OSPL_n=82_F1CDXRNA-RMC-RET-22-2290_SG44174_21FEB2023145617</strong></code><b>Content: </b>Data generated using the <i>FoundationOne CDx (F1CDx)</i> kit.<code><strong>Base de dados Clinica_update.csv</strong></code><b>Content:</b> Updated clinical annotations for the patient study cohort, including histology, treatment, and outcome data.<code><strong>Sarculator_Results.xlsx</strong></code><b>Content:</b> Prognostic predictions for each sample computed using the <i>Sarculator</i> tool (https://www.sarculator.com/).
DOI: 10.6084/m9.figshare.27948597.v1
title: Data for Machine learning-based analysis of genomic and transcriptomic data unveils sarcoma clusters with superlative prognostic and predictive value

description: <b>Data Sources and Descriptions</b>This study integrates transcriptomic and clinical data from three main sources to classify prognostic subtypes and identify therapeutic strategies in soft tissue sarcomas (STS):<b>1. TCGA-SARC Cohort</b><b>Source:</b> Genomic Data Commons (GDC) Portal<b>Content:</b> RNA-Seq gene expression data and associated clinical information from The Cancer Genome Atlas Sarcoma Project (TCGA-SARC).<b>Purpose:</b> Serves as an external validation cohort for subtype comparisons, differential expression, and survival analyses.<b>2. CINSARC Dataset</b><b>Source:</b> Code Ocean Capsule<b>Content:</b> Gene expression and clinical data from the original CINSARC study, including risk classification.<b>Purpose:</b> Used to validate prognostic gene signatures and assess cross-cohort subtype reproducibility.<b>3. Study Cohort (22-2290 F1RNA and F1CDx)</b>This dataset includes transcriptomic and clinical data from an in-house cohort of 82 soft tissue sarcoma patients.<b>Files and Descriptions:</b><code><strong>22-2290 Roche RNA GEP-COUNTS 01MAY2023.txt</strong></code><b>Content:</b> Raw gene expression counts obtained using the <i>FoundationOne RNA (F1RNA)</i> panel.<code><strong>OSPL_n=82_F1CDXRNA-RMC-RET-22-2290_SG44174_21FEB2023145617</strong></code><b>Content: </b>Data generated using the <i>FoundationOne CDx (F1CDx)</i> kit.<code><strong>Base de dados Clinica_update.csv</strong></code><b>Content:</b> Updated clinical annotations for the patient study cohort, including histology, treatment, and outcome data.<code><strong>Sarculator_Results.xlsx</strong></code><b>Content:</b> Prognostic predictions for each sample computed using the <i>Sarculator</i> tool (https://www.sarculator.com/).
DOI: 10.6084/m9.figshare.28914443
title: LC-AC-95 Specialized Pro-resolving Mediators in Bovine Plasma and Adipocytes: LPS Single Infusion Raw Data

description: We characterized the impact of bacterial lipopolysaccharide (LPS) administration on the in vivo plasma oxylipin profile in dairy cattle and in vitro cultured bovine adipocytes. For in vivo experiments, cows received either sterile saline (SAL) or saline containing LPS at 1 ug/kg bodyweight infused into the jugular vein over 20 min. Plasma samples were collected immediately before infusions (PRE), 2 h after (+2H), and 12 h after (+12H) and flash-frozen. For in vitro experiments, mature bovine adipocytes were exposed to 1 ug/mL LPS for 3 h. Following, culture medium was collected and flash-frozen. Oxylipin metabolites in plasma and adipocyte culture medium were then quantified via LC-MS/MS.
DOI: 10.6084/m9.figshare.28914443.v1
title: LC-AC-95 Specialized Pro-resolving Mediators in Bovine Plasma and Adipocytes: LPS Single Infusion Raw Data

description: We characterized the impact of bacterial lipopolysaccharide (LPS) administration on the in vivo plasma oxylipin profile in dairy cattle and in vitro cultured bovine adipocytes. For in vivo experiments, cows received either sterile saline (SAL) or saline containing LPS at 1 ug/kg bodyweight infused into the jugular vein over 20 min. Plasma samples were collected immediately before infusions (PRE), 2 h after (+2H), and 12 h after (+12H) and flash-frozen. For in vitro experiments, mature bovine adipocytes were exposed to 1 ug/mL LPS for 3 h. Following, culture medium was collected and flash-frozen. Oxylipin metabolites in plasma and adipocyte culture medium were then quantified via LC-MS/MS.
DOI: 10.5281/zenodo.15319444
title: Data Produksi Dolces Bites
DOI: 10.5281/zenodo.15319445
title: Data Produksi Dolces Bites
DOI: 10.7910/dvn/d8vodi
title: Replication Data for: Where to place sensitive questions? Experiments on survey response-order and measures of discriminatory attitudes

description: In survey experiments, should all covariates be administered before the experimental treatment? Some scholars argue that post-treatment items should never be used as covariates because the treatment could bias the measurement of those items and disrupt experimental randomization. Other scholars argue certain items—specifically sensitive questions measuring prejudice—should not be administered pre-treatment. They argue if asked pre-treatment, these items may prime respondents in ways that will influence how they engage with the experiment treatment, thereby aﬀecting the overall outcome of the experiment. Using evidence from four studies (two original collections) that vary the placement of sensitive items—pre-treatment, post-treatment, or in a separate wave—we find little evidence that the placement of sensitive items influences the measurement of those items, the experimental outcomes, nor heterogeneously aﬀects the outcome conditional on the treatment. However, we find the placement of sensitive items inconsistently aﬀects the experimental outcome by interacting with both the measurement of the items and the experimental treatment condition. Overall, we find these measures to be robust to where they are administered. It may be best to place items pre-treatment to preserve randomization. If researcher have reason to include sensitive moderators post-treatment, they should transparently discuss this choice and the anticipated trade-oﬀs.
DOI: 10.7910/dvn/oioy7h
title: Executive Agreements Database, Statement Concerning the Agreement with Afghanistan Regarding the Reduction Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government Or Its Agencies, with Annexes Signed At Kabul March 10, 2008 Entered Into Force July 14, 2008

description: KAV 8439

First signed 03/10/2008
Last signed 03/10/2008
Entry into force 07/14/2008

CAR 2008-128

stamped 08-128

C06572719

cover memo
DOI: 10.26207/k8xm-3r71
title: Salinity and Land Use Data for Delaware River Basin
DOI: 10.7910/dvn/yjkjjo
title: A07_16366.JPG

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/8d4ecaae-9458-e11a-b8d7-93163af43955'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/8d4ecaae-9458-e11a-b8d7-93163af43955
DOI: 10.7910/dvn/ortspi
title: Figure 1e-f, Timepoint 72h, Elastic Matrix

description: Figure 1e-f, Quantification of the spheroids area (e) and circularity (f), respectively (error bars, s.e.m). n=19-43 spheroids/condition/day. Timepoint 72h, Elastic matrix
DOI: 10.7910/dvn/p1x0gv
title: Replication Data for: Why Change a Winning Team? Explaining Post-Election Cabinet Reshuffles in Four Westminster Democracies

description: Data and code to replicate analysis from: Fleming, Thomas G. (Forthcoming) 'Why Change a Winning Team? Explaining Post-Election Cabinet Reshuffles in Four Westminster Democracies', Political Studies.
DOI: 10.5281/zenodo.15319531
title: Analisis Bottleneck pada Stasiun Kerja di Dolces Bites
DOI: 10.5281/zenodo.15319532
title: Analisis Bottleneck pada Stasiun Kerja di Dolces Bites
DOI: 10.7910/dvn/zgkv85
title: hou02665c01029

description: Marriage document, Havana
description: URN-3:FHCL.HOUGH:100958593
DOI: 10.15468/dl.8v229k
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cola lateritia K.Schum.",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 215 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010186-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/zntzhx
title: A99_12670.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/40095092-886e-79f6-2460-aa6632b7c3b5'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/40095092-886e-79f6-2460-aa6632b7c3b5
DOI: 10.7910/dvn/pfana4
title: Executive Agreements Database, Statement Concerning the Agreement with Russia Amending the Agreement of April 3, 1995, as Amended and Extended, Concerning Cooperation in Nuclear Weapons Transportation Security through Provision of Material, Services and Related Training. Signed At Moscow and Washington February 3 and 21, 2007. Entered into Force February 21, 2007.

description: KAV 8004 cover memo
DOI: 10.7910/dvn/pnbyul
title: A99_12251.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/6d3b72c1-6daf-b9f3-5a5d-b52153d7e7b2'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/6d3b72c1-6daf-b9f3-5a5d-b52153d7e7b2
DOI: 10.6084/m9.figshare.28425995
title: COMSOL simulation - gas jet in vacuum system HHG

description: A COMSOL simulation package of an orifice nozzle backed by a pressurized Argon bottle. This can be used to simulate gas jets in a vacuum. The simulation set is accomponied by the manuscript titled: Quantitative density retrieval of gas jets for high harmonic generation EUV sources with a compact schlieren imaging system
DOI: 10.6084/m9.figshare.28425995.v1
title: COMSOL simulation - gas jet in vacuum system HHG

description: A COMSOL simulation package of an orifice nozzle backed by a pressurized Argon bottle. This can be used to simulate gas jets in a vacuum. The simulation set is accomponied by the manuscript titled: Quantitative density retrieval of gas jets for high harmonic generation EUV sources with a compact schlieren imaging system
DOI: 10.5281/zenodo.14725823
title: ITALIC

description: We present ITALIC, a large-scale benchmark dataset of 10,000 multiple-choice questions designed to evaluate the natural language understanding of the Italian language and culture. ITALIC spans 12 domains, exploiting public tests to score domain experts in real-world scenarios. We detail our data collection process, stratification techniques, and selection strategies.

ITALIC provides a comprehensive assessment suite that captures commonsense reasoning and linguistic proficiency in a morphologically rich language. It serves as a benchmark for evaluating existing models and as a roadmap for future research, encouraging the development of more sophisticated and culturally aware natural language systems.

Curated by: CRISP research centre https://crispresearch.it/

Learn more at: https://italicbench.it/
DOI: 10.5281/zenodo.14725822
title: ITALIC

description: We present ITALIC, a large-scale benchmark dataset of 10,000 multiple-choice questions designed to evaluate the natural language understanding of the Italian language and culture. ITALIC spans 12 domains, exploiting public tests to score domain experts in real-world scenarios. We detail our data collection process, stratification techniques, and selection strategies.

ITALIC provides a comprehensive assessment suite that captures commonsense reasoning and linguistic proficiency in a morphologically rich language. It serves as a benchmark for evaluating existing models and as a roadmap for future research, encouraging the development of more sophisticated and culturally aware natural language systems.

Curated by: CRISP research centre https://crispresearch.it/

Learn more at: https://italicbench.it/
DOI: 10.5281/zenodo.15319535
title: Analisis Utilization pada Produksi Dolces Bites
DOI: 10.5281/zenodo.15319536
title: Analisis Utilization pada Produksi Dolces Bites
DOI: 10.6084/m9.figshare.28265894
title: Systems genetics reveals the influence of eQTLs in mouse embryonic stem cells on transcriptional variation later in differentiated neural progenitor cells

description: This data set includes all the material needed to perform eQTL mapping using the transcript abundance from 186 mouse neural progenitor cells (mNPCs) differentiated from embryonic stem cells (mESCs) derived from diversity outbred (DO) mice.
DOI: 10.6084/m9.figshare.28265894.v1
title: Cross cell-type systems genetics reveals the influence of eQTL at multiple points in the developmental trajectory of mouse neural progenitor cells

description: This data set includes all the material needed to perform eQTL mapping using the transcript abundance from 186 mouse neural progenitor cells (mNPCs) differentiated from embryonic stem cells (mESCs) derived from diversity outbred (DO) mice.
DOI: 10.5281/zenodo.15319571
title: Analisis Efficiency pada Produksi Dolces Bites
DOI: 10.5281/zenodo.15319572
title: Analisis Efficiency pada Produksi Dolces Bites
DOI: 10.34740/kaggle/dsv/11641020
title: TLDR pages translation pairs dataset
DOI: 10.5281/zenodo.15313979
title: A low-dimensional model of birdsong production as a tool to study acoustic discrimination and mimicry in birds
DOI: 10.5281/zenodo.15313980
title: A low-dimensional model of birdsong production as a tool to study acoustic discrimination and mimicry in birds
DOI: 10.5281/zenodo.15319585
title: remnant and quasi-normal mode surrogate files for quasi-circular, non-precessing binary black holes

description: surrogate files for https://github.com/keefemitman/qnmpredictor
DOI: 10.5281/zenodo.15319586
title: remnant and quasi-normal mode surrogate files for quasi-circular, non-precessing binary black holes

description: surrogate files for https://github.com/keefemitman/qnmpredictor
DOI: 10.5281/zenodo.15319583
title: Fig. 3 published in https://arxiv.org/pdf/2408.17389
DOI: 10.5281/zenodo.15319584
title: Fig. 3 published in https://arxiv.org/pdf/2408.17389
DOI: 10.34740/kaggle/dsv/11641115
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.5281/zenodo.15319626
title: Time trajectory inference with a bone marrow dataset
DOI: 10.5281/zenodo.15319627
title: Time trajectory inference with a bone marrow dataset
DOI: 10.6084/m9.figshare.28914989
title: EC_Mol_pIC50_Model test data

description: EC_Mol_pIC50_Model test data
DOI: 10.5281/zenodo.15119897
title: Analysis Data for "Managing for climate and production goals on croplands"

description: The files in this repository are the (1) input data for the analyses and (2) resulting analyses output for the publication "Managing for climate and production goals on croplands." Files beginning with 'daycent-post-processed' and 'shp' should be placed in the /data directory with the subdirectory path, /daycent-post-processed, with the following path, data/daycent-post-processed, and unzipped.

Unzipping the file 'analysis-output.tar.gz' should automatically create a directory, /analysis-output, which can also be placed in the /data directory.

These steps are critical for executing the code associated with this study available at 10.5281/zenodo.14907984. It is recommended that users first download the code files from the GitHub repository if interested in re-creating the analyses. Otherwise, all data output associated with the publication are contained in 'analysis-output.tar.gz'.

Please consult the read-me.txt for more information about the files contained in the tar.gz.

Reference

McClelland et al. (2025). Managing for climate and production goals on croplands. Nature Climate Change.