cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zxgmn8
title: Occurrence Download

description: A dataset containing 12057 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinguicula vulgaris, Pinguicula vulgaris, Pinguicula vulgaris, Pinguicula vulgaris, Pinguicula vulgaris, Pinguicula vulgaris, Pinguicula vulgaris, Pinguicula vulgaris, Pinguicula vulgaris, Pinguicula vulgaris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 12057 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017367-260129131611470/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.31286182
title: Supplementary Materials for "The Multi-Sectoral Collapse in Gaza: Scenario-Based Analysis of Health System Reconstruction in a Protracted Complex Emergency"

description: This supplementary materials file supports the manuscript titled "The Multi-Sectoral Collapse in Gaza: Scenario-Based Analysis of Health System Reconstruction in a Protracted Complex Emergency." It contains detailed methodological appendices, extended datasets, and comprehensive projections that underpin the scenario-based analysis presented in the main paper. The materials include six supplementary tables (S1–S6) and two methodological notes that provide transparency and depth to the study's approach.<b>Supplementary Table S1</b> provides a complete source matrix and quality assessment of the 89 sources included in the narrative synthesis. <b>Table S2</b> offers a detailed sensitivity analysis of critical variables affecting scenario outcomes. <b>Table S3</b> elaborates on the integrated probability estimation methodology combining historical analog scoring, expert elicitation, and current trajectory analysis. <b>Table S4</b> presents detailed quantitative projections across six societal domains (health, mental health, education, economy, environment, and governance) for three scenarios (Worst-Case, Status Quo, Optimistic) to 2035. <b>Table S5</b> details recovery trajectories from 12 historical analog cases. <b>Table S6</b> documents the expert elicitation protocol and results.<b>Supplementary Note 1</b> provides methodological justification for numerical ranges used in projections, while <b>Note 2</b> discusses limitations and uncertainty bounds. These materials are intended for researchers, policymakers, and practitioners working in health system recovery, humanitarian response, and post-conflict reconstruction who seek to understand the evidence base, methodological rigor, and detailed projections behind the scenario analysis. The data support evidence-based planning for Gaza's recovery and provide a model for analyzing health system reconstruction in other protracted complex emergencies.
DOI: 10.6084/m9.figshare.31286182.v1
title: Supplementary Materials for "The Multi-Sectoral Collapse in Gaza: Scenario-Based Analysis of Health System Reconstruction in a Protracted Complex Emergency"

description: This supplementary materials file supports the manuscript titled "The Multi-Sectoral Collapse in Gaza: Scenario-Based Analysis of Health System Reconstruction in a Protracted Complex Emergency." It contains detailed methodological appendices, extended datasets, and comprehensive projections that underpin the scenario-based analysis presented in the main paper. The materials include six supplementary tables (S1–S6) and two methodological notes that provide transparency and depth to the study's approach.<b>Supplementary Table S1</b> provides a complete source matrix and quality assessment of the 89 sources included in the narrative synthesis. <b>Table S2</b> offers a detailed sensitivity analysis of critical variables affecting scenario outcomes. <b>Table S3</b> elaborates on the integrated probability estimation methodology combining historical analog scoring, expert elicitation, and current trajectory analysis. <b>Table S4</b> presents detailed quantitative projections across six societal domains (health, mental health, education, economy, environment, and governance) for three scenarios (Worst-Case, Status Quo, Optimistic) to 2035. <b>Table S5</b> details recovery trajectories from 12 historical analog cases. <b>Table S6</b> documents the expert elicitation protocol and results.<b>Supplementary Note 1</b> provides methodological justification for numerical ranges used in projections, while <b>Note 2</b> discusses limitations and uncertainty bounds. These materials are intended for researchers, policymakers, and practitioners working in health system recovery, humanitarian response, and post-conflict reconstruction who seek to understand the evidence base, methodological rigor, and detailed projections behind the scenario analysis. The data support evidence-based planning for Gaza's recovery and provide a model for analyzing health system reconstruction in other protracted complex emergencies.
DOI: 10.6084/m9.figshare.31286209
title: <b>A Process-Based Model for Forecasting Wave Runup along the Coast of Georgia</b>

description: The Appendix and data accompany the manuscript in revision:<br>"A Process-Based Model for Forecasting Wave Runup along the Coast of Georgia"
DOI: 10.6084/m9.figshare.31286209.v1
title: <b>A Process-Based Model for Forecasting Wave Runup along the Coast of Georgia</b>

description: The Appendix and data accompany the manuscript in revision:<br>"A Process-Based Model for Forecasting Wave Runup along the Coast of Georgia"
DOI: 10.20383/102.0537
title: The Effects of Temperature and Soil Moisture on CO2 and CH4 Flux

description: This dataset contains results from laboratory soil incubations with peat samples of different depth intervals retrieved at seven Canadian peatland locations. CO2 release fluxes (and CH4 fluxes for some samples) from peat samples were measured using Li-8100 and Li-8150 system under variable moisture levels across a temperature sequence ranging from -10 to 35 °C in an environmental chamber. The resulting CO2 production rates were fitted to equations describing the observed moisture and temperature trends.
DOI: 10.20383/102.0528
title: Characterization of high mountain glacier microbiota following inundation with wildfire soot

description: Glacier ecosystems are shrinking at an accelerating rate due to changes in climate, but also due to increased deposition of soot, which has resulted in darkening of glacier surfaces and subsequent changes in absorption of light, associated heat, and altered microbial communities. In this study, compositions of microbial communities on surfaces of the Athabasca Glacier (Alberta, Canada) were measured by use of DNA metabarcoding. Three matrices, glacier ice, cryoconite hole, and glacial surface sediment, were analyzed. The samples were extracted for DNA and were PCR amplified targeting the hypervariable V3-V4 region of the 16S ribosomal RNA subunit I gene of prokaryotes, as well as the hypervariable V3 region of the 18S ribosomal RNA gene of eukaryotic organisms. Amplicons were sequenced performing a 600-cycle paired-end sequencing run on an Illumina® MiSeq sequencer. This dataset includes the demultiplexed sequencing output, the feature table with taxonomic annotation, and the sample metadata.
DOI: 10.20383/102.0474
title: Evapotranspiration and energy partitioning across a forest-shrub vegetation gradient in a subarctic, alpine catchment

description: This dataset includes meteorological and eddy covariance data from the three sites outlined in the manuscript, "Evapotranspiration and energy partitioning across a forest-shrub vegetation gradient in a subarctic, alpine catchment" by Nicholls and Carey in Journal of Hydrology (2021). This includes data from a white spruce boreal forest (2017-2020), a tall, dense shrub taiga site (2015-2020), and a short, sparse shrub taiga site (2015-2020).
DOI: 10.20383/102.0553
title: Data for: Evaluation of Fresh, Frozen, and Lyophilized Fecal Samples by SPME and Derivatization Methods using GC×GC-TOFMS

description: This collection contains the raw data files and aligned peak tables from the fresh, frozen, and lyophilized fecal samples analyzed for the manuscript https://doi.org/10.1007/s11306-022-01881-z. The raw files are in .peg format collected on a LECO Pegasus 4D system (LECO Instruments, St. Joseph, MI, USA), with an Agilent Technologies 7890 gas chromatograph (Palo Alto, CA, USA). The .CSV files contain the aligned peak tables obtained using the Statistical Compare function on ChromaTOF® (v.4.72; LECO Instruments, St. Joseph, MI, USA).
DOI: 10.20383/103.0811
title: Hyperspectral Imaging Dataset

description: A dataset of hyperspectral images. It is associated with the paper titled: N. Sharma, M. Waseem, S. Mirzaei, and M. Hefeeda, MobiSpectral: Hyperspectral Imaging on Mobile Devices, In Proc. of ACM Conference on Mobile Computing and Networking (MobiCom'23), Madrid, Spain, October 2023. Project website: https://nmsl.cs.sfu.ca/index.php/Hyperspectral_Imaging
DOI: 10.15468/dl.s4j45n
title: Occurrence Download

description: A dataset containing 2049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantago alpina, Plantago alpina, Plantago alpina)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2049 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017370-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20383/102.0555
title: Data for Experiments on pool formation in bedrock canyons

description: The data is used in the paper "Experiments on pool formation in bedrock canyons". It includes three folders: Raw Data; Shear stress calculations; Processed data. The data was obtained in flume lab by Zhihao Cao, where we conducted an experiment to answer the question: Can scour pools be initiated and formed by a lateral constriction in bedrock canyons? This project incorporates five experimental runs, where we measure the erosion rate, flow and sediment transport.
DOI: 10.20383/101.0310
title: MesoNet: automated scaling and segmentation of mouse mesoscale cortical maps using machine learning

description: Raw wide-field calcium imaging data was recorded from male awake head-fixed GCaMP6 mice. This dataset is used to discovery cortical activity motifs and generate motif based functional maps. Usage: The main demo code to run: MesoNet_motif_discovery_Democode.m MesoNet_MBFM_multirun_Democode.m The codes are available on the OSF repository: “OSF Storage/4_Data_code” at https://osf.io/svztu/ The demo code was tested on: Operating systems: Windows10 Versions the software has been tested on: Matlab 2020a Expected run time for demo on a "normal" desktop computer: the code may need several hours or days to run.
DOI: 10.20383/103.0599
title: Mn model terrestrial runoff sensitivity experiments of the Canadian Arctic Archipelago ocean - Model output and setup for Rogalla et al. 2023

description: We performed sensitivity experiments of the influence of terrestrial runoff from glaciated and continental regions using a model of manganese (Mn) in Inuit Nunangat, the Canadian Arctic Archipelago. The Mn model has parameterizations for sediment resuspension, river runoff, sea ice melt contributions, and scavenging (Mn model code available at doi: 10.20383/102.0388). The model is calculated offline with a 1/12 degree configuration (ANHA12) coupled ocean-ice model (NEMO) from 2002-2020. This repository contains the Mn model setup and raw output from four main experiments (reference, "glacial-enhanced", "continental-enhanced" and "seasonal-runoff") that were used to understand the influence of variations in runoff composition on the ocean, as well as the analysis code for Rogalla et al. (2023).
DOI: 10.20383/102.0669
title: Sulfur stable isotopes as a tracer of insect migration and fish predation

description: Here we examined the utility of the stable isotope ratio of sulfur, δ34S, as a tracer of the seasonal migration of water boatmen (Hemiptera: Corixidae) between wetlands and rivers and the use of these insects as a dietary subsidy by riverine fish. We found that both corixids and other invertebrate taxa originating from wetland ecosystems typically exhibited lower δ34S values, as opposed to riverine taxa. Specifically, riverine taxa from the South Saskatchewan River were more depleted in 34S than those from the North Saskatchewan River. spring and summer, δ34S values were more negative for corixid feeders in fall. We conclude that δ34S has the potential to trace insect movement and consumer use between isotopically distinct freshwater systems.
DOI: 10.20383/103.0830
title: OSNAP mooring C0 on the Newfoundland and Labrador shelf

description: Mooring data collected on the Newfoundland and Labrador (NL) shelf in support of the Overturning in the Subpolar North Atlantic Program (OSNAP). The Canadian mooring number 0 (OSNAP mooring C0) is equipped with Conductivity-Temperature-Depth (CTD), Acoustic Doppler Current Profiler (ADCP) and other temperature-only sensors. It has been deployed since July 2020 at geographical location 52.6228 degrees north and 52.2163 degrees west. Please refer to the OSNAP data management plan for more details regarding the OSNAP data policy and management plan. Before the use and publication of any OSNAP data, users are strongly encouraged to read the full OSNAP data policy. We draw your attention to the following excerpts from that policy: Any person making use of OSNAP observational data and/or numerical results must communicate with the responsible investigators at the start of the analysis and anticipate that the data collectors will be co-authors of published results. In cases where investigators choose not to be co-authors on publications that rely on their data, the parties responsible for collecting the data and the sponsoring funding agencies should be acknowledged, including reference to any relevant publications by the originating authors describing the data sets and a reference to the data set itself using its DOI. OSNAP data are intended for scholarly use by the academic and scientific community, with the express understanding that any such use will properly acknowledge the originating investigator. HOW TO ACKNOWLEDGE DATA FROM THE OSNAP PROJECT: OSNAP data were collected and made freely available by the OSNAP (Overturning in the Subpolar North Atlantic Program) project and all the national programs that contribute to it (www.o-snap.org).
DOI: 10.20383/103.0828
title: Data for root fragment amendments increase nematode density and mycobiome stochasticity in Douglas-fir seedlings

description: In a growth chamber experiment, we tested simulated clear-cut soil conditions on shoot biomass, total soil nematode density, and the shoot and root mycobiome of Douglas-fir, Pseudotsuga menziesii (Mirb.) Franco, seedlings. Soil treatments included unamended bare soil and soil amended with root segments of kinnikinnick, Arctostaphylos uva-ursi (L.) Spreng., pinegrass, Calamagrostis rubescens Buckley, or P. menziesii seedlings. We used next-generation Illumina sequencing and the PIPITS pipeline to obtain fungal taxa used for mycobiome community richness and Jaccard-based taxonomic normalized stochasticity ratio to assess mycobiome community assembly stochasticity. For further information, see Super, L.; Gorzelak, M.A.; Guy, R.D. (2023). Root Fragment Amendments Increase Nematode Density and Mycobiome Stochasticity in Douglas-Fir Seedlings. Forests.
DOI: 10.15468/dl.k6a9hh
title: Occurrence Download

description: A dataset containing 29114 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bison bison"
 ]
}

 The dataset includes 29114 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017371-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20383/103.0774
title: Codes for Steady-State Bedrock Channel Width

description: The codes predict bedrock channel width at steady state when the bed and bank lowering rates balance the uplift rate, from measurable physical parameters, including uplift rate, water discharge, sediment supply, grain size, rock strength, and bank angle. The "codeforlocalwidthvariation" code predicts width at cross-section scales, representing at-a-station hydraulic geometry, while the "codefordownstreamvarition" code predicts width at drainage basin scales, representing downstream hydraulic geometry.
DOI: 10.25921/p9c7-ps14
title: EK60 Water Column Sonar Data Collected During EX2501
DOI: 10.20383/102.0748
title: Earth system model simulations highlighting the need for methane mitigation to comply with the 2°C global warming limit

description: Climate simulations by the University of Victoria Earth System Climate Model (UVic ESCM) aimed at investigating the importance of urgent methane mitigation, alongside reaching net-zero carbon emissions by mid-century, to comply with the 2°C global warming limit. These model simulations are associated with a publication in Communications Earth & Environment by Nzotungicimpaye et al.
DOI: 10.20383/102.0705
title: Learning From Hydrological Models’ Challenges: A Case Study from the Nelson Basin Model Intercomparison Project

description: Abstract: Intercomparison studies play an important, but limited role in understanding the usefulness and limitations of currently available hydrological models. Comparison studies are often limited to well-behaved hydrological regimes, where rainfall-runoff processes dominate the hydrological response. These efforts have not covered western Canada due to the difficulty in simulating that region’s complex cold region hydrology with varying spatiotemporal contributing areas. This intercomparison study is the first of a series of studies under the intercomparison project of the international and interprovincial transboundary Nelson-Churchill River Basin (NCRB) in North America (Nelson-MIP), which encompasses different ecozones with major areas of the non-contributing Prairie potholes, forests, glaciers, mountains, and permafrost. The performance of eight hydrological and land surface models is compared at different unregulated watersheds within the NCRB. This is done to assess the models’ streamflow performance and overall fidelity without and with calibration, to capture the underlying physics of the region and to better understand why models struggle to accurately simulate its hydrology. Results show that some of the participating models have difficulties in simulating streamflow and/or internal hydrological variables (e.g., evapotranspiration) over Prairie watersheds but most models performed well elsewhere. This stems from model structural deficiencies, despite the various models being well calibrated to observed streamflow. Some model structural changes are identified for the participating models for future improvement. The outcomes of this study offer guidance for practitioners for the accurate prediction of NCRB streamflow, and for increasing confidence in future projections of water resource supply and management.
DOI: 10.5281/zenodo.18510564
title: Cuadros suplementarios. Enfermedades diarreicas en niñas y niños menores de 5 años en diferentes contextos de urbanidad en México. Ensanut 2021-2024
DOI: 10.5281/zenodo.18510565
title: Cuadros suplementarios. Enfermedades diarreicas en niñas y niños menores de 5 años en diferentes contextos de urbanidad en México. Ensanut 2021-2024
DOI: 10.20383/103.0829
title: High-resolution future temperature and precipitation dataset for Canada, 2015 - 2100

description: A database of high-resolution (0.1°) precipitation, maximum, and minimum temperature projections extending till 2100 at a daily scale is developed for Canada. We employed a novel Semi-Parametric Quantile Mapping (SPQM) methodology to bias-correct the Coupled Model Intercomparison Project, Phase-6 (CMIP6) projections for four distinct Shared Socio-economic Pathways. SPQM is simple, yet robust, in reproducing the observed marginal properties, trends and variability according to future scenarios, and maintaining a smooth transition from observations to projected simulations. The database encompasses a substantial collection of 759 simulations derived from 37 diverse climate models for precipitation. Similarly, for maximum and minimum temperature projections, our database comprises 652 simulations from 30 climate models. These meticulously curated projections carry immense value for hydrological, environmental, and ecological studies, offering a comprehensive resource for analyses within these domains. Furthermore, these projections serve as a valuable asset for the quantification of uncertainties arising from variant labels, climate models, and future scenarios.
DOI: 10.20383/103.0587
title: Selection of Aptamers for Sensing Caffeine and Discrimination of Its Three Single Demethylated Analogues

description: With the growing consumption of caffeine-containing beverages, detection of caffeine has become an important biomedical, bioanalytical, and environmental topic. Four high-quality aptamers for caffeine were isolated and were carefully characterized. A structure-switching fluorescent sensor was designed showing a detection limit of 1.2 μM caffeine, which reflected the labeled caffeine concentration within 6.1% difference for eight commercial beverages. In 20% human serum, a detection limit of 4.0 μM caffeine was achieved. In addition, these four fluorescent aptamer sensors can form a sensing array, caffeine and the three analogues were well separated from nine other closely related molecules.
DOI: 10.15468/dl.89tqq3
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is Museo Nacional de Ciencias Naturales, Madrid: MNCN_ICTIO",
 "TaxonKey is Gymnura altavela"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017364-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14756846
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.20383/102.0556
title: Effects of pH and Dissolved Silicate on Phosphate Mineral-Water Partitioning with Goethite

description: The datasets were obtained from the individual adsorption of phosphate and silicate on goethite. The experimental data were used to optimize CD MUSIC model parameters. The obtained model parameters were then further used to understand the competitive effect of dissolved silicate on the adsorption of phosphate under various ionic strength conditions and as well as to extract the Langmuir adsorption constants. The datasets also include the experimental and model-predicted desorptions of phosphate (previously adsorbed to goethite) as a function of pH.