cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30194141.v1
title: Additional file 11 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 11. Supplementary Table 10.
DOI: 10.6084/m9.figshare.30194144
title: Additional file 12 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 12. Supplementary Table 11.
DOI: 10.6084/m9.figshare.30194144.v1
title: Additional file 12 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 12. Supplementary Table 11.
DOI: 10.6084/m9.figshare.30194147
title: Additional file 13 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 13. Supplementary Table 12.
DOI: 10.6084/m9.figshare.30194147.v1
title: Additional file 13 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 13. Supplementary Table 12.
DOI: 10.6084/m9.figshare.30194150
title: Additional file 14 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 14. Supplementary Table 13.
DOI: 10.6084/m9.figshare.30194150.v1
title: Additional file 14 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 14. Supplementary Table 13.
DOI: 10.6084/m9.figshare.30194153
title: Additional file 15 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 15. Supplementary Table 14.
DOI: 10.6084/m9.figshare.30194153.v1
title: Additional file 15 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 15. Supplementary Table 14.
DOI: 10.6084/m9.figshare.30194156
title: Additional file 16 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 16. Supplementary Table 15.
DOI: 10.6084/m9.figshare.30194156.v1
title: Additional file 16 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 16. Supplementary Table 15.
DOI: 10.6084/m9.figshare.30194159
title: Additional file 17 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 17. Supplementary Table 16.
DOI: 10.6084/m9.figshare.30194159.v1
title: Additional file 17 of FET fusion oncoproteins enrich SWI/SNF complex subtypes and interaction partners

description: Additional file 17. Supplementary Table 16.
DOI: 10.6084/m9.figshare.30194161
title: Additional file 1 of Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain

description: Additional file 1: Table S1. Case demographics and tissue information. Table S2. IsoLamp benchmarking summary statistics. Table S3. Primers, PCR conditions and additional details for risk gene amplicons. Table S4. GWAS Catalog meta-data and filtering conditions. Table S5. SIRV primers and PCR cycling conditions. Table S6. Sample metadata. Table S7. Novel exon validation. Genes, final PCR primers and additional details for validation. Table S8. Post mortem brain samples used for targeted and deep fractionation mass spectrophotometry (MS).
DOI: 10.6084/m9.figshare.30194161.v1
title: Additional file 1 of Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain

description: Additional file 1: Table S1. Case demographics and tissue information. Table S2. IsoLamp benchmarking summary statistics. Table S3. Primers, PCR conditions and additional details for risk gene amplicons. Table S4. GWAS Catalog meta-data and filtering conditions. Table S5. SIRV primers and PCR cycling conditions. Table S6. Sample metadata. Table S7. Novel exon validation. Genes, final PCR primers and additional details for validation. Table S8. Post mortem brain samples used for targeted and deep fractionation mass spectrophotometry (MS).
DOI: 10.6084/m9.figshare.30194167
title: Additional file 3 of Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain

description: Additional file 3. List of all known and novel isoforms and predicted impact on known protein domains, open reading frame (ORF), associated instability index, and notes.
DOI: 10.6084/m9.figshare.30194167.v1
title: Additional file 3 of Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain

description: Additional file 3. List of all known and novel isoforms and predicted impact on known protein domains, open reading frame (ORF), associated instability index, and notes.
DOI: 10.6084/m9.figshare.30194173
title: Additional file 5 of Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain

description: Additional file 5. Custom R script to summarise GWAS database and identify the number of unique lines of evidence reporting each gene as a candidate risk gene.
DOI: 10.6084/m9.figshare.30194173.v1
title: Additional file 5 of Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain

description: Additional file 5. Custom R script to summarise GWAS database and identify the number of unique lines of evidence reporting each gene as a candidate risk gene.
DOI: 10.6084/m9.figshare.30194176
title: Additional file 6 of Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain

description: Additional file 6. Custom R script for combining all risk gene TPM counts and performing PCA analyses.
DOI: 10.6084/m9.figshare.30194176.v1
title: Additional file 6 of Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain

description: Additional file 6. Custom R script for combining all risk gene TPM counts and performing PCA analyses.
DOI: 10.14458/utcc.the.2003.17
title: การสร้างภาพลักษณ์ของร้านสุกี้เอ็มเค เรสโตรองต์ ผ่านสื่อกระดาษรองจาน
DOI: 10.14458/utcc.the.2003.18
title: A Study of English language features used in rejection letters to job applicants
DOI: 10.14458/utcc.the.2003.19
title: พฤติกรรมการตัดสินใจของบัณฑิตในการเข้าศึกษาต่อหลักสูตรเศรษฐศาสตรมหาบัณฑิต กรณีศึกษามหาวิทยาลัยเอกชน
DOI: 10.5281/zenodo.17188882
title: TPC2016 Supplementary Appendix A: Rally Inventory (2015–2016)

description: Appendix A for the Trump Primary Corpus (TPC2016) v1.0.

This supplementary dataset provides the full rally inventory (222 events, 2015–2016) used in the TPC2016 article, including ID, date, title/location, duration of Trump’s address, publisher/channel, direct video URL (historical access window 2015–2016), Speech Coverage (Full/Partial/Clip; maps to dataset field “Trump’s Speech Fraction”), and Transcript Available (Yes/Partial/No).

Relationship to main dataset: IsSupplementTo https://doi.org/10.5281/zenodo.15399539License: CC BY-NC-SA 4.0.
DOI: 10.5281/zenodo.17188883
title: TPC2016 Supplementary Appendix A: Rally Inventory (2015–2016)

description: Appendix A for the Trump Primary Corpus (TPC2016) v1.0.

This supplementary dataset provides the full rally inventory (222 events, 2015–2016) used in the TPC2016 article, including ID, date, title/location, duration of Trump’s address, publisher/channel, direct video URL (historical access window 2015–2016), Speech Coverage (Full/Partial/Clip; maps to dataset field “Trump’s Speech Fraction”), and Transcript Available (Yes/Partial/No).

Relationship to main dataset: IsSupplementTo https://doi.org/10.5281/zenodo.15399539License: CC BY-NC-SA 4.0.
DOI: 10.5281/zenodo.17188765
title: Long-term dataset of annual and monthly mean trophic level index (TLI) for lakes >1 km² in the Mengxin Plateau region, 2000–2024

description: Dataset title:Annual and monthly mean trophic level index (TLI) for lakes >1 km² in the Mengxin Plateau region (2000–2024)

Description:This dataset provides annual and monthly mean values of the trophic level index (TLI) for lakes larger than 1 km² in the Mengxin Plateau region during the period 2000–2024. The dataset was derived from [remote sensing data, field surveys, water quality monitoring, statistical analysis] and processed following standard methods of TLI calculation, integrating indicators such as total phosphorus (TP), total nitrogen (TN), chlorophyll-a (Chl-a), and Secchi depth (SD).

The dataset includes:





Time coverage: January 2000 – December 2024




Spatial coverage: Lakes >1 km² within the Mengxin Plateau region




Variables: Lake ID, latitude, longitude, annual mean TLI, monthly mean TLI




Format: CSV (tabular data), [Shapefile/GeoTIFF if you added spatial data]



Value of the data:





Useful for understanding long-term water quality dynamics in plateau lakes.




Provides a reference for ecological monitoring, eutrophication assessment, and regional environmental management.




Can be used by researchers, policymakers, and environmental managers working on water resources and ecological health.
DOI: 10.5281/zenodo.17188296
title: Movement Decisions Reflect Compromised Statewide Connectivity for Mountain Lions in California

description: Abstract

Human-induced habitat fragmentation threatens connectivity for populations of wide-ranging species by compromising long-distance dispersal. We evaluated movement-based resource selection of dispersing mountain lions (Puma concolor) to identify specific landscape conditions influencing movement decisions and connectivity between populations across California, USA. Our results elucidate how anthropogenic features inhibit dispersal at the statewide scale, as mountain lions avoided development more strongly as both the area of and building density within developed patches increased. Further, dispersing mountain lions strongly avoided crossing roads, but relaxed avoidance with vegetative cover on both sides. Importantly, mountain lions selected even relatively small patches of natural habitat, which may function as stepping-stones promoting movement through otherwise unsuitable habitat. We provide empirical evidence linking genetic structure suggestive of reduced connectivity to underlying behavioral mechanisms. Understanding behavior during dispersal is fundamental to conserving connectivity and viability of populations persisting within fragmented landscapes - and to facilitate recolonization of historical ranges.
DOI: 10.5281/zenodo.17188297
title: Movement Decisions Reflect Compromised Statewide Connectivity for Mountain Lions in California

description: Abstract

Human-induced habitat fragmentation threatens connectivity for populations of wide-ranging species by compromising long-distance dispersal. We evaluated movement-based resource selection of dispersing mountain lions (Puma concolor) to identify specific landscape conditions influencing movement decisions and connectivity between populations across California, USA. Our results elucidate how anthropogenic features inhibit dispersal at the statewide scale, as mountain lions avoided development more strongly as both the area of and building density within developed patches increased. Further, dispersing mountain lions strongly avoided crossing roads, but relaxed avoidance with vegetative cover on both sides. Importantly, mountain lions selected even relatively small patches of natural habitat, which may function as stepping-stones promoting movement through otherwise unsuitable habitat. We provide empirical evidence linking genetic structure suggestive of reduced connectivity to underlying behavioral mechanisms. Understanding behavior during dispersal is fundamental to conserving connectivity and viability of populations persisting within fragmented landscapes - and to facilitate recolonization of historical ranges.
DOI: 10.13140/rg.2.2.20040.99840
title: EL STEPS Analysis of PERS038-1S4 179-1 100 Real World Data by the Persian Curve (PC) EL STEP 07 PERSIAN QUANTILE COMPLETE
DOI: 10.5281/zenodo.17188983
title: Peer Support and Writing Engagement in Chinese Language and Literacy (Yuwen): The Mediating Roles of Self-Efficacy and Hope
DOI: 10.5281/zenodo.17188984
title: Peer Support and Writing Engagement in Chinese Language and Literacy (Yuwen): The Mediating Roles of Self-Efficacy and Hope
DOI: 10.5281/zenodo.17188941
title: MSP library of Vibrio parahaemolyticus isolates from oysters (Texas, Louisiana, Massachusetts)

description: A custom Main Spectral Profile (MSP) library (.btmsp file) of 70 Vibrio parahaemolyticus strains isolated from oysters collected in Galveston Bay (Texas, USA), aquaculture plots in Massachusetts, and seafood markets in Texas and Louisiana.

This dataset is provided as supplementary material to the manuscript: Resolution of MALDI-TOF MS Compared to Whole Genome Sequencing for the Identification of Vibrio parahaemolyticus Strains Isolated from Oysters by Tetyana King, Mayela Pedrueza, Maliha Rahman, Bonnie Oh, and Michael G. LaMontagne.

The MSP library can be used to improve species- and strain-level identification of V. parahaemolyticus by MALDI-TOF MS and as a reference for comparative studies involving genomic and proteomic approaches.
DOI: 10.34740/kaggle/dsv/13153502
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17181529
title: NazoNazo Benchmark Project 2025A (Restricted)
DOI: 10.5281/zenodo.17181530
title: NazoNazo Benchmark Project 2025A (Restricted)
DOI: 10.6084/m9.figshare.30194368
title: Data of ZB seamounts in the South China Sea

description: A dataset used to study the nutrient and low oxygen patterns of ZB seamounts in the South China Sea.
DOI: 10.6084/m9.figshare.30194368.v2
title: Data of ZB seamounts in the South China Sea

description: A dataset used to study the nutrient and low oxygen patterns of ZB seamounts in the South China Sea.
DOI: 10.6084/m9.figshare.30194368.v1
title: ZB海山数据

description: 用于研究南海ZB海山的营养和低氧模式的数据集。
DOI: 10.34740/kaggle/dsv/13153543
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.30194383
title: Hibino caecilian tables

description: Redescription on a rare caecilian in Sarawak, Malaysia
DOI: 10.6084/m9.figshare.30194383.v1
title: Hibino caecilian tables

description: Redescription on a rare caecilian in Sarawak, Malaysia
DOI: 10.5281/zenodo.17019050
title: NazoNazo Benchmark Project 2025-A
DOI: 10.5281/zenodo.17178834
title: Data supporting: "Overestimation of evapotranspiration across India if not considering the impact of rising atmospheric CO2"

description: README – Dataset Description for ETo Estimation Using Original and Modified FAO-PM Equation

This repository contains outputs of estimated reference evapotranspiration (ETo) using the original and the modified FAO-PM equation under the SSP1-2.6 and SSP5-8.5 climate scenarios for India. Data are available in both NetCDF and Excel formats, organized systematically for ease of use.

Directory Structure

1. Abs_ ETo

Contains absolute values of ETo estimated using the original and modified FAO-PM equation, arranged by time period and timescale:



2021–2030



Daily ETo files -- Daily values of ETo for the time period (5 GCMs).

Decadal average ETo -- Mean daily values averaged across the decade for the time period (5 GCMs).

Annual_avg -- Annual average ETo for each year in the decade for each of the 5 GCMs.

Seasonal_avg -- Average ETo for key seasons within the decade for each GCM.


2051–2060



Same file structure as above (daily, decadal, annual, seasonal).


2091–2100



Same file structure as above (daily, decadal, annual, seasonal).


Annual_avg_eto_combined



Combined folder containing average annual ETo values mentioned above, for ease of use.



2. Diff_in_ETo

Contains the difference in ETo between the original and modified FAO Penman–Monteith methods. Data are provided at different temporal scales:



diff_in_eto_daily -- Daily difference in ETo for each GCM.

diff_in_eto_decadal_average -- Decadal average of differences in ETo for each GCM.

 diff_in_eto_seasonal_average -- Differences in seasonal averages of ETo.



individual_gcm -- Differences in seasonal averages of ETo for each GCM.

multimodel -- Multimodel ensemble of differences in seasonal averages of ETo estimated using all GCMs.



File Formats



NetCDF files -- Provide spatially gridded data for ETo.

Excel files -- Contain tabulated summaries (annual, seasonal, decadal).


Note: Input Climate Data

Net radiation was derived using codes provided in the associated GitHub repository and is provided in this data repository.

Remaiing climate input data for ETo estimation across India were obtained from the ISIMIP3b protocol (https://data.isimip.org/search/tree/ISIMIP3b/InputData/climate/atmosphere/). Gridded projections were used for three time periods - 2021–2030, 2051–2060, and 2091–2100 from five GCMs (GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL) under SSP1-2.6 and SSP5-8.5 scenarios at 0.5° × 0.5° resolution.

The following six variables were used: Near-surface relative humidity, Surface air pressure, Surface downwelling shortwave radiation, Near-surface wind speed, Daily maximum near-surface temperature, Daily minimum near-surface temperature. Additionally, ISIMIP3b atmospheric CO2 concentration data (annual average) under both SSPs were included.
DOI: 10.6084/m9.figshare.29964764
title: Data supporting: Drivers of thermal tolerance breadth of plants across contrasting biomes: do mean or seasonality in climate indices matter more?

description: These data and R code supports a field study that assessed cold, freezing, and heat tolerance of leaf tissue collected from nearly 70 species across three strongly contrasting biomes: alpine, coastal temperate, and desert in NSW, Australia.<b>Abstract</b>1. The climate variability hypothesis (CVH) predicts that species from environments with more variable temperatures should have wider thermal tolerance breadth. This hypothesis has not yet been tested thoroughly across diverse plants. Here, we asked how local climate predictors (including precipitation, mean and extreme temperatures, and thermal variability) are associated with species physiological thermal limits.2. Measures of lower (T<sub>crit-cold</sub>) and upper (T<sub>crit-hot</sub>) photosystem II thermal tolerance thresholds were used to determine thermal tolerance breadth (TTB), along with ice nucleation temperature (T<sub>nucleation</sub>, freezing tolerance) of 69 plant species sampled from the field across three contrasting biomes: alpine, desert and coastal temperate rainforest.3. All measured thermal tolerance metrics (T<sub>crit-cold</sub>, T<sub>nucleation</sub>, T<sub>crit-hot</sub> and TTB) differed among biomes. Notably, desert species had the most cold and heat tolerant leaves, and therefore the widest TTB, whereas species in alpine and temperate biomes had similar TTB. For plants in all biomes, TTB exceeded the thermal range of their local climate.4. Overall, two Principal Component axes of local climate drivers explained substantial variation in all tolerance metrics. Extreme hot, dry climates improved freezing and heat tolerance. High thermal variability and low minimum temperatures also improved freezing tolerance but were unrelated to heat tolerance or TTB. Species explained a significant amount of variation among all metrics, but this was not due to phylogenetic relatedness. We discuss how the remaining variation could be due to microclimate-driven plasticity, leaf traits or thermoregulatory mechanisms.5. <b>Synthesis</b>. Our results provide partial support for the climate variability hypothesis in plants: photosystem thermal tolerance breadth was greatest in more thermally variable biomes. This relationship was largely driven by cold tolerance, with variation in heat tolerance explained better by mean and extreme temperatures. Therefore, we conclude that the CVH alone is not sufficient to explain variation in plant thermal tolerance, with many other aspects of climate, environment and biology being potentially important drivers.
DOI: 10.6084/m9.figshare.29964764.v1
title: Data supporting: Drivers of thermal tolerance breadth of plants across contrasting biomes: do mean or seasonality in climate indices matter more?

description: These data and R code supports a field study that assessed cold, freezing, and heat tolerance of leaf tissue collected from nearly 70 species across three strongly contrasting biomes: alpine, coastal temperate, and desert in NSW, Australia.<b>Abstract</b>1. The climate variability hypothesis (CVH) predicts that species from environments with more variable temperatures should have wider thermal tolerance breadth. This hypothesis has not yet been tested thoroughly across diverse plants. Here, we asked how local climate predictors (including precipitation, mean and extreme temperatures, and thermal variability) are associated with species physiological thermal limits.2. Measures of lower (T<sub>crit-cold</sub>) and upper (T<sub>crit-hot</sub>) photosystem II thermal tolerance thresholds were used to determine thermal tolerance breadth (TTB), along with ice nucleation temperature (T<sub>nucleation</sub>, freezing tolerance) of 69 plant species sampled from the field across three contrasting biomes: alpine, desert and coastal temperate rainforest.3. All measured thermal tolerance metrics (T<sub>crit-cold</sub>, T<sub>nucleation</sub>, T<sub>crit-hot</sub> and TTB) differed among biomes. Notably, desert species had the most cold and heat tolerant leaves, and therefore the widest TTB, whereas species in alpine and temperate biomes had similar TTB. For plants in all biomes, TTB exceeded the thermal range of their local climate.4. Overall, two Principal Component axes of local climate drivers explained substantial variation in all tolerance metrics. Extreme hot, dry climates improved freezing and heat tolerance. High thermal variability and low minimum temperatures also improved freezing tolerance but were unrelated to heat tolerance or TTB. Species explained a significant amount of variation among all metrics, but this was not due to phylogenetic relatedness. We discuss how the remaining variation could be due to microclimate-driven plasticity, leaf traits or thermoregulatory mechanisms.5. <b>Synthesis</b>. Our results provide partial support for the climate variability hypothesis in plants: photosystem thermal tolerance breadth was greatest in more thermally variable biomes. This relationship was largely driven by cold tolerance, with variation in heat tolerance explained better by mean and extreme temperatures. Therefore, we conclude that the CVH alone is not sufficient to explain variation in plant thermal tolerance, with many other aspects of climate, environment and biology being potentially important drivers.