cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f6bjrszvdh.1
title: Barley exome VCF and chloroplast genomes

description: These datasets relate to the paper 'Genetic erosion in domesticated barley and a hypothesis of a North African centre of diversity' (Civan et al., in preparation). The whealbi VCF file is a general-purpose diversity matrix constructed from the exome data produced by the Whealbi consortium. Redundant accessions (above an empirical threshold of IBS &gt;0.985) were removed. The FASTA file is a multiple sequence alignment (MSA) of chloroplast genomes reconstructed from various sequencing datasets by mapping to the Morex chloroplast genome EF115541 (ncbi) used as a reference. The MSA was visually checked for misaligned regions and corrected manually where necessary (except homopolymers and microsatellites). The second inverted repeat has been removed prior to read mapping. The data can be used for phylogeographic inference. Note of caution - the alignment region 35,650-42,725 bp spanning the genes atpA, rps14, psaB and psaA contains multiple ambiguities due to a paralogous copy from the mitochondrial genome interfering with the assembly, and should be avoided in sequence analyses.
DOI: 10.60600/yu/clawet/u3t1io
title: 0251.TextGrid

description: :unav
DOI: 10.15468/dl.pqjzkg
title: Occurrence Download

description: A dataset containing 8278 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Alpheidae, Panopeidae)",
 "Geometry POLYGON ((-98.00916 26.20422,-81.58513 26.32949,\n-82.56463 30.04304,-86.40784 30.99141,-87.93071 30.85377,\n-89.21218 31.13092,-91.47118 30.37769,-92.88571 30.60973,\n-95.35626 30.10072,-98.05428 28.35295,-98.00916 26.20422))"
 ]
}

 The dataset includes 8278 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091159-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjjb3p
title: Occurrence Download

description: A dataset containing 637 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "Country is one of (Colombia)",
 "GadmGid is one of (COL.6.30_2, COL.6.45_2)",
 "StateProvince is one of (bolívar)",
 "TaxonKey is one of (Amphibia)"
 ]
 }
 ]
}

 The dataset includes 637 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091160-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bptpfpgf5h.2
title: A do-it-yourself benchtop device for highly scalable flow synthesis of protein-based nanoparticles

description: This dataset provides technical drawings, diagram circuit and Arduino code for original device designed for scalable synthesis of protein nanoparticles.
DOI: 10.60600/yu/clawet/ect8cr
title: 0473.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/dxr9dn
title: 0289.wav

description: :unav
DOI: 10.4121/3a23da61-15bd-417f-8295-440acd615bf7
title: Code for manuscript Bayesian Covariance Structure Modeling of Multi-Way Nested Data

description: Code for BCS Model for Multi-Way Nested Data. Research objective: evaluation of the BCS model on multi-way nested interval censored survival data using parameter recovery studies and a real-life data analysis on BIO-RESORT data, type of research: computational analysis of Bayesian model, method of data collection: simulation, type of data: R code
DOI: 10.4121/b3fd0a0c-4f32-45e3-b931-fd4bd76dc0e0
title: Code for paper Dynamic fair balancing of COVID-19 patients over hospitals based on forecasts of bed occupancy

description: Code for patient reallocation over different hospitals or regions. Research objective: determining the benefits of regional re-allocation of COVID-19 patients using stochastic approximation and stochastic programming, type of research: simulation study, method of data collection: simulations, type of data: R code
DOI: 10.4121/0041578f-5dd9-46d2-ad41-19ac36d7f1a5.v1
title: Simulation data for paper Dynamic fair balancing of COVID-19 patients over hospitals based on forecasts of bed occupancy

description: Simulation data of patient reallocation over hospitals or regions. Research objective: determining the benefits of regional re-allocation of COVID-19 patients using stochastic approximation and stochastic programming, type of research: simulation study, method of data collection: simulations, type of data: R datasets
DOI: 10.17632/7ngss9r58w.1
title: Dataset to: Do Voluntary Sustainability Standards Reduce Primary Forest Loss? A Global Analysis for Food Commodities.

description: Dataset to the publication of Dröge et al. (2024) "Do Voluntary Sustainability Standards Reduce Primary Forest Loss? A Global Analysis for Food Commodities".

We used annual certification data of seven VSS (Fairtrade, Rainforest Alliance, UTZ, 4C, Round Table on Sustainable Palm Oil (RSPO), GlobalGAP, Organic) certifying five food commodities (cocoa, coffee, tea, palm oil, banana) and data on tree cover loss in humid tropical primary forest to study the impact of VSS on primary forest loss in 67 tropical countries. Using two generalised additive models (GAMs), one with VSS separately and one with VSS coverage aggregated, we found only Fairtrade to coincide with lower tree cover loss in primary forests at country level while we observed higher tree cover loss with higher certification for UTZ, RSPO and Organic. Using spatially explicit certification data in Google Earth Engine, we did not observe an effect of VSS on tree cover loss, thereby raising doubts on the potential of VSS to govern deforestation free supply chains.
DOI: 10.17632/hzgs5kz2bc.1
title: Brazilian University Paper Abstracts Dataset (2013-2023), Classified by Sustainable Development Goals (SDGs)

description: The data was collected from SciVal, a platform that hosts Scopus statistics. All metadata were obtained from the top 25 Brazilian universities between 2013 and 2023, according to the Center for World University Ranking (CWUR) in 2023. The dataset contains abstracts of published scientific papers classified according to the Sustainable Development Goals (SDGs) by the Scopus team. The original dataset consists of 15,488 records and 20 columns. We preprocessed the data to train a language model capable of classifying Brazilian research projects according to the SDGs. 
During preprocessing, we removed duplicate records, multi-label entries, samples missing abstracts, and unnecessary columns. The preprocessed dataset contains 13,789 records and two columns, where the SDG classification is represented in the "label" column. The classification ranged from 1 to 17 representing all 17 SDGs in order.
After preprocessing the dataset, we balanced it by equalizing the majority and minority classes to 300 records per class. In other words, for majority classes with more than 300 records, we reduced the count to 300. For minority classes with fewer than 300 records, we generated the remaining records using the generative model Mixtral-8x7B-Instruct-v0.1, using the real abstracts as examples. This dataset serves as a valuable resource for training language models tailored to classify scientific texts from Brazil based on the SDGs.

The 17 SDGs are:
 1. No Poverty
 2. Zero Hunger
 3. Good Health and Well-being
 4. Quality Education
 5. Gender Equality
 6. Clean Water and Sanitation
 7. Affordable and Clean Energy
 8. Decent Work and Economic Growth
 9. Industry Innovation and Infrastructure
 10. Reduced Inequality
 11. Sustainable Cities and Communities
 12. Responsible Consumption and Production
 13. Climate Action
 14. Life Below Water
 15. Life on Land
 16. Peace Justice and Strong Institutions
 17. Partnerships for the Goals
DOI: 10.60600/yu/clawet/bgm67r
title: 0535.wav

description: :unav
DOI: 10.17632/ysc8fb2fk9.1
title: Processed Dataset for Sub-district Level Diurnal Variation of Surface Urban Heat Island Effect in Southern Metropolitan Cities of Korea

description: This dataset includes processed satellite-based LST products and land use data for analyzing the diurnal variation in the surface urban heat island effect in southern metropolitan cities of Korea.

(1) ECOSTRESS LST data_after Daily Adjustment (2020-22): This dataset contains the results of daily adjustments performed on all ECOSTRESS LST observations with minimal data loss due to clouds, covering the study areas from 2020 to 2022.

(2) GK-2A LST data_Aligned with ECOSTRESS Grid (2020-22): This dataset consists of GK-2A LST data with similar observation areas to the ECOSTRESS LST images used in the study and acquisition times within 15 minutes. To facilitate smooth research, these data have been aligned to the ECOSTRESS LST grid.

(3) Seasonal Mean GK-2A LST data (2020-22): This dataset contains the results of calculating the mean LST data at 30-minute intervals throughout the day, based on GK-2A LST data for each season from 2020 to 2022.

(4) Land use data (2022):
(4-1) Medium-level land use data: 2022 land use raster data categorized according to the medium-level classification system provided by the Ministry of Environment of Korea. It includes a classification code table.
(4-2) Urban and Rural boundaries code: Urban and rural area boundaries defined based on the land use data.
DOI: 10.60600/yu/clawet/a1fogi
title: 0551.TextGrid

description: :unav
DOI: 10.17632/dwf7ccphpz.1
title: HMG-CoA reductase inhibitors inhibit pan-cancer epithelial-mesenchymal transition by targeting XBP1+ mast cells

description: HMG-CoA reductase inhibitors inhibit pan-cancer epithelial-mesenchymal transition by targeting XBP1+ mast cells
DOI: 10.15468/dl.d93p8a
title: Occurrence Download

description: A dataset containing 434535 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solidago virgaurea L."
 ]
}

 The dataset includes 434535 records from 1602 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091142-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98vakn
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is KUBI Invertebrate Paleontology Collection",
 "Country is Croatia"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015888-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzksmh
title: Occurrence Download

description: A dataset containing 5413260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trisetacus chamaecypari Smith, 1978, Megacoelum beckeri (Fieber, 1870), Morenoina chamaecyparidis J.P.Ellis, Cinara cupressi (Buckton, 1881), Hemimycena lactea (Pers.) Singer, Leucoagaricus marriagei (D.A.Reid) Bon, Marasmiellus ramealis (Bull.) Singer, Awafukia nawae (Matsumura, 1904), Coenobiodes granitalis (Butler, 1881), Ursus thibetanus G, Leucoptera heringiella Toll, Colias myrmidone (Esper, 1781), Handianus cytisi Zakhvatkin, 1948, Mus spretus Lataste, 1883, Dama dama (Linnaeus, 1758), Dactylotrypes longicollis Schedl, Lindberg & Lindberg, 1959, Microdiplodia palmarum (Corda) Died., Ommatissus magribus Asche & Wilson, 1989, Ommatissus binotatus Fieber, 1875, Castiarina chamelauci (Barker, 1987), Chrysomya rufifacies (Macquart, 1844), Oncastichus goughi Headrick & LaSalle, 1995, Leiothlypis ruficapilla (A.Wilson, 1811), Erysiphe macleayae R.Y.Zheng & G.Q.Chen, Helophilus eristaloideus (Bigot, 1882), Ufensia foersteri (Kryger, 1919), Sympiesis chenopodii Ashmead, 1888, Scrobipalpa obsoletella (Fischer von Röslerstamm, 1841), Cardinalis sinuatus Bonaparte, 1838, Amyna axis Guenée, 1852, Grammia arge Drury, 1773, Chrysoesthia lingulacella (Clemens, 1860), Perillus bioculatus (Fabricius, 1775), Stenolophus comma (Fabricius, 1775), Grammia parthenice W.Kirby, 1837, Spilosoma congrua Walker, 1855, Puccinia subnitens Dietel, Cactodera milleri Graney & Bird, 1990, Cactodera chenopodiae Feng, Wang, Xiao, Pereira, Xuan, Wang, Liu, Chen, Duan & Zhu, 2018, Amauromyza chenopodivora Spencer, 1971, Mareca americana (J.F.Gmelin, 1789), Polia nebulosa Hufnagel, 1766, Coleophora clypeiferella Hofmann, 1871, Acanthopsyche nigraplaga (Wileman, 1911), Eupithecia simpliciata (Haworth, 1809), Chrysoesthia sexguttella (Thunberg, 1794), Ametastegia equiseti (Fallén, 1808), Pnigalio gyamiensis Myartseva & Kurashev, 1990, Tamarixia bicolor Mercet, 1924, Closterocerus mirabilis Edwards & La Salle, 2004)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5413260 records from 1302 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015876-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muz4yb
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The reptiles, amphibians and fishes collection (ZA) in the Comparative Anatomy Collection of the Muséum national d'Histoire naturelle (MNHN - Paris)",
 "Country is Croatia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015892-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkpd7v
title: Occurrence Download

description: A dataset containing 871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Lichen herbarium, Oslo (O) UiO",
 "Country is Croatia"
 ]
}

 The dataset includes 871 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015894-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/75bf3674f4c9249bc9448fe64fcf1913
title: National Park Service - South Florida/Caribbean Inventory & Monitoring Network - BISC1 SET Surface Water level data from in Biscayne National Park, Florida, USA (2016-2025)

description: Surface water level data (m) was collected in Biscayne National Park (BISC) by the South Florida/Caribbean Inventory and Monitoring Network (SFCN) as part of the Soil Elevation Table (SET) vital sign monitoring program. Water level data collected from 2016 to 2025 is included in this dataset. The water level data was collected using HOBOware Onset Water Level Data Loggers. This dataset belongs to Site 1, known as BISC-SET-1 or BISC1. This data-package is complete.
DOI: 10.15468/dl.u9rfsf
title: Occurrence Download

description: A dataset containing 1658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Senegal, Mali, Ethiopia, Burkina Faso, Niger, Chad, Somalia, Sudan, South Sudan, Nigeria, Cameroon)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acacia senegal (L.) Willd."
 ]
}

 The dataset includes 1658 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015896-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15498787
title: Dataset for paper "Characterizing Cybersecurity Awareness Among Brazilian Computer Science Higher Education Students"

description: Dataset for paper "Characterizing Cybersecurity Awareness Among Brazilian Computer Science Higher Education Students"
DOI: 10.15468/dl.sk882x
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis septentrionalis (Trouessart, 1897)"
 ]
}

 The dataset includes 71 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015891-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5xw48827
title: MassIVE MSV000097982 - IL-27 induces a cytotoxic state in CD4+ T cells distinct from the Th1 lineage
title: Cytotoxicity in T cells is typically accredited to CD8+ T cells, defined by their expression of the effector molecules granzyme b (GZMB) and perforin (PRF1). While cytotoxic properties have been observed in CD4+ T cells, these attributes have been historically assigned to T helper 1 (Th1) cells. Here, we show that the pleiotropic cytokine IL-27 robustly induces a cytotoxic protein program in naive CD4+ T cells. IL-27 polarized CD4+ T cells express the transcription factors RUNX3 and TBX21 (TBET) to levels similar to those of CD8+ and Th1s, respectively, but are proteomically distinct from Th1 cells. Unlike Th1 cells, which are polarized by the IL-12-STAT4-TBX21/IFNg axis, GZMB and TBX21 levels in IL-27 polarized CD4+ T cells are not promoted by the autocrine IFNg-signaling feedback loop. TGFb is capable of diminishing GZMB and PRF1 levels. However, RUNX3 and TBX21 levels, transcription factors that canonically promote cytotoxic gene expression, are not diminished by co-administration of TGFb with IL-27, suggesting alternative mechanisms for Gzmb and Prf1 induction. The IL-27-induced cytotoxic phenotype is stable, as CD4+ T cells passaged in Rag2 knockout mice maintain GZMB and PRF1 levels when harvested from secondary lymphoid organs. Consistent with their cytotoxic programming, IL-27-polarized CD4+ T cells killed cognate cancer cells in a co-culture environment, further supporting their cytotoxic function. These data demonstrate that IL-27 can induce cytotoxicity in CD4+ T cells, and suggest a distinct regulatory mechanism and cell state or lineage trajectory from conventional CD8+ T cells or Th1 cells.
DOI: 10.5281/zenodo.15170842
title: Planet-to-star radius ratios measured with TESS-Gaia Light Curves.

description: TGLC Transit Fit Summary

This directory contains the script and results from fitting TGLC light curves using the exoplanet package.

• The .dat files contain results from transit fits for stars observed in different TESS sectors. These targets are known planets discovered by TESS or Kepler. Each row corresponds to one TESS sector and includes key parameters from the transit model.

• .py file — Python script used to fit the TGLC light curves.

 

Columns of .dat files:

• Star_sector: TIC ID and TESS sector (e.g., TIC_410214986_28)

• Tmag: TESS-band magnitude of the host star

• rhat: Gelman-Rubin R̂ statistic for MCMC convergence (values close to 1.0 indicate good convergence)

• p: Orbital period of the planet (in days)

• pl_ratror: Planet-to-star radius ratio (Rp/R★) from the literature

• pl_ratrorerr1: Positive uncertainty on pl_ratror

• pl_ratrorerr2: Negative uncertainty on pl_ratror

• value: Planet-to-star radius ratio (Rp/R★) from the TGLC fit

• err1: Positive uncertainty on value

• err2: Negative uncertainty on value
DOI: 10.5281/zenodo.15367117
title: Planet-to-star radius ratios measured with TESS-Gaia Light Curves.

description: TGLC Transit Fit Summary

This directory contains the script and results from fitting TGLC light curves using the exoplanet package.

• The .dat files contain results from transit fits for stars observed in different TESS sectors. These targets are known planets discovered by TESS or Kepler. Each row corresponds to one TESS sector and includes key parameters from the transit model.

• .py file — Python script used to fit the TGLC light curves.

• PS*.csv files are taken from the NASA Exoplanet Archive. For TESS, we removed planets/publications not selected in our sample and renamed the Planet System table to the PS_reduced.csv

• table*.csv files are machine-readable tables for tables in the appendix. 

 

Columns of .dat files:

• Star_sector: TIC ID and TESS sector (e.g., TIC_410214986_28)

• Tmag: TESS-band magnitude of the host star

• rhat: Gelman-Rubin R̂ statistic for MCMC convergence (values close to 1.0 indicate good convergence)

• p: Orbital period of the planet (in days)

• pl_ratror: Planet-to-star radius ratio (Rp/R★) from the literature

• pl_ratrorerr1: Positive uncertainty on pl_ratror

• pl_ratrorerr2: Negative uncertainty on pl_ratror

• value: Planet-to-star radius ratio (Rp/R★) from the TGLC fit

• err1: Positive uncertainty on value

• err2: Negative uncertainty on value
DOI: 10.5281/zenodo.15447097
title: Planet-to-star radius ratios measured with TESS-Gaia Light Curves.

description: TGLC Transit Fit Summary

This directory contains the script and results from fitting TGLC light curves using the exoplanet package.

• The .dat files contain results from transit fits for stars observed in different TESS sectors. These targets are known planets discovered by TESS or Kepler. Each row corresponds to one TESS sector and includes key parameters from the transit model.

• .py file — Python script used to fit the TGLC light curves.

• PS*.csv files are taken from the NASA Exoplanet Archive. For TESS, we removed planets/publications not selected in our sample and renamed the Planet System table to the PS_reduced.csv

• table*.csv files are machine-readable tables for tables in the appendix. 

 

Columns of .dat files:

• Star_sector: TIC ID and TESS sector (e.g., TIC_410214986_28)

• Tmag: TESS-band magnitude of the host star

• rhat: Gelman-Rubin R̂ statistic for MCMC convergence (values close to 1.0 indicate good convergence)

• p: Orbital period of the planet (in days)

• pl_ratror: Planet-to-star radius ratio (Rp/R★) from the literature

• pl_ratrorerr1: Positive uncertainty on pl_ratror

• pl_ratrorerr2: Negative uncertainty on pl_ratror

• value: Planet-to-star radius ratio (Rp/R★) from the TGLC fit

• err1: Positive uncertainty on value

• err2: Negative uncertainty on value
DOI: 10.5281/zenodo.15498837
title: Planet-to-star radius ratios measured with TESS-Gaia Light Curves.

description: TGLC Transit Fit Summary

This directory contains the script and results from fitting TGLC light curves using the exoplanet package.

• The .dat files contain results from transit fits for stars observed in different TESS sectors. These targets are known planets discovered by TESS or Kepler. Each row corresponds to one TESS sector and includes key parameters from the transit model.

• .py file — Python script used to fit the TGLC light curves.

• PS*.csv files are taken from the NASA Exoplanet Archive. For TESS, we removed planets/publications not selected in our sample and renamed the Planet System table to the PS_reduced.csv

• table*.csv files are machine-readable tables for tables in the appendix. 

 

Columns of .dat files:

• Star_sector: TIC ID and TESS sector (e.g., TIC_410214986_28)

• Tmag: TESS-band magnitude of the host star

• rhat: Gelman-Rubin R̂ statistic for MCMC convergence (values close to 1.0 indicate good convergence)

• p: Orbital period of the planet (in days)

• pl_ratror: Planet-to-star radius ratio (Rp/R★) from the literature

• pl_ratrorerr1: Positive uncertainty on pl_ratror

• pl_ratrorerr2: Negative uncertainty on pl_ratror

• value: Planet-to-star radius ratio (Rp/R★) from the TGLC fit

• err1: Positive uncertainty on value

• err2: Negative uncertainty on value