cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14729224
title: Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models

description: A data for paper, "Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models"
DOI: 10.5281/zenodo.14729225
title: Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models

description: A data for paper, "Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models"
DOI: 10.15468/dl.h9rq4h
title: Occurrence Download

description: A dataset containing 629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mimosa bimucronata (DC.) Kuntze",
 "Year 1970-2025"
 ]
}

 The dataset includes 629 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000264-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14729222
title: Aaedes_midgut_scRNA-Seq

description: Big data for GitHub repo 'Aaedes_midgut_scRNA-Seq' https://github.com/yingHH/Aaedes_midgut_scRNA-Seq/tree/main
DOI: 10.5281/zenodo.14729223
title: Aaedes_midgut_scRNA-Seq

description: Big data for GitHub repo 'Aaedes_midgut_scRNA-Seq' https://github.com/yingHH/Aaedes_midgut_scRNA-Seq/tree/main
DOI: 10.15468/dl.7buws8
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mimosa bimucronata (DC.) Kuntze",
 "Year 1970-2025"
 ]
}

 The dataset includes 43 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000265-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46dxgf
title: Occurrence Download

description: A dataset containing 3509548 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passer montanus (Linnaeus, 1758)"
 ]
}

 The dataset includes 3509548 records from 1631 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000248-250123221155621/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/14259529
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5066/p14a2tj7
title: Per- and Polyfluoroalkyl Substances (PFAS) and Co-occurring Contaminants in the Fraser River, a Headwater Tributary to the Colorado River - September 2021 to August 2023

description: The Fraser River, located in the Colorado Rocky Mountains, is a headwater tributary to the Upper Colorado River. This investigation by the U.S. Geological Survey (USGS) Water Mission Area, Water Quality Processes Program Proxies Project was conducted from September 2021 through August 2023 and consisted of eight sampling events incorporating 17 sites (15 stream sites and two wastewater treatment plant effluents) along a longitudinal transect of the Fraser River from the Continental Divide to the confluence with the Colorado River. Field measurements, water-quality samples, and streamflow measurements were collected at approximately quarterly intervals to capture a range of flow conditions. The water samples (filtered and unfiltered) were analyzed for field parameters (pH, temperature, specific conductance, and dissolved oxygen), nutrients (carbon, nitrogen, and phosphorous), optical properties (absorbance and fluorescence), 52 major and trace elements, 32 per- and polyfluoroalkyl substances (PFAS), and 113 pharmaceutical compounds. This data release provides a curated compilation of results from multiple USGS sources including: (1) Water Data for the Nation (USGS WDFN), (2) Organic Matter Research Laboratory (USGSOMRL), and (3) Analytical Trace Element Chemistry and Common Services Laboratory (USGSTECO). This dataset also lists Proxies Project codes that aligns these data with data in other data releases that include the same sites and sample times. The information compiled includes sample site location information, flow measurements, and all chemical measurements.
DOI: 10.6084/m9.figshare.30893180
title: Tailoring SIPN Hydrogels from Biocompatible Polymers: Optimizing Physico-Chemical and Biocompatibility Properties

description: Semi-Interpenetrating Polymer Network (SIPN) hydrogels are promising soft materials for numerous applications, owing to their enhanced robustness and high swelling capacity. Many SIPN hydrogels rely on non-biocompatible polymers (<i>e.g.</i>, polyacrylamide) or lack adequate porosity, which hinders optimal cell proliferation and limits their applied potential. In this work, we design novel, biocompatible SIPN hydrogels composed of linear hydroxyethyl cellulose and cross-linked poly(acrylic acid-co-2-hydroxyethyl methacrylate). We systematically investigate the roles of different crosslinkers, their concentrations, and the impact of accelerator amounts on the swelling behavior and mechanical performance. We find that maximum swelling decreases with increasing crosslinker concentration, which is paralleled by a significant increase in hydrogel toughness. Interestingly, the addition of higher accelerator concentrations increases both the swelling capacity and mechanical robustness, suggesting complex structural interactions within the network. The hydrogel microstructure is investigated via histological techniques, and cell viability is tested using fibroblasts on optimal formulations. We find that to achieve excellent cell viability, with fibroblasts displaying proliferation, attachment, spreading, and active intra-scaffold migration, the concentration of methacrylic acid (MA) needs to be optimized. Indeed, high concentrations of MA result in poor cell viability due to the highly acidic environment. Our results demonstrate the remarkable tunability of these SIPN hydrogels, a key advantage for applications ranging from soft robotics to tissue engineering. Furthermore, this work clearly illustrates the complex requirements for successful cell proliferation in hydrogels, emphasizing the need for not only biocompatible polymers, but also for optimal mechanical and precise microstructural and chemical properties.
DOI: 10.6084/m9.figshare.30893180.v1
title: Tailoring SIPN Hydrogels from Biocompatible Polymers: Optimizing Physico-Chemical and Biocompatibility Properties

description: Semi-Interpenetrating Polymer Network (SIPN) hydrogels are promising soft materials for numerous applications, owing to their enhanced robustness and high swelling capacity. Many SIPN hydrogels rely on non-biocompatible polymers (<i>e.g.</i>, polyacrylamide) or lack adequate porosity, which hinders optimal cell proliferation and limits their applied potential. In this work, we design novel, biocompatible SIPN hydrogels composed of linear hydroxyethyl cellulose and cross-linked poly(acrylic acid-co-2-hydroxyethyl methacrylate). We systematically investigate the roles of different crosslinkers, their concentrations, and the impact of accelerator amounts on the swelling behavior and mechanical performance. We find that maximum swelling decreases with increasing crosslinker concentration, which is paralleled by a significant increase in hydrogel toughness. Interestingly, the addition of higher accelerator concentrations increases both the swelling capacity and mechanical robustness, suggesting complex structural interactions within the network. The hydrogel microstructure is investigated via histological techniques, and cell viability is tested using fibroblasts on optimal formulations. We find that to achieve excellent cell viability, with fibroblasts displaying proliferation, attachment, spreading, and active intra-scaffold migration, the concentration of methacrylic acid (MA) needs to be optimized. Indeed, high concentrations of MA result in poor cell viability due to the highly acidic environment. Our results demonstrate the remarkable tunability of these SIPN hydrogels, a key advantage for applications ranging from soft robotics to tissue engineering. Furthermore, this work clearly illustrates the complex requirements for successful cell proliferation in hydrogels, emphasizing the need for not only biocompatible polymers, but also for optimal mechanical and precise microstructural and chemical properties.
DOI: 10.15482/usda.adc/30651527.v1
title: Data from: Predictive Modeling of Seed Biochemicals Composition Traits using Machine learning algorithms

description: Sorghum is a versatile cereal crop grown the central U.S. especially in Kansas and Texas and is an important grain for feed, biofuel, and food markets. The growing demand for sorghum has increased the need for enhanced hybrids with superior grain composition, such as high protein and starch content, which are key determinants of its nutritional and economic value. The composition of sorghum grain is highly influenced by genetics, growth conditions, and crop management practices, all of which influence the final yield and quality of the crop. To develop new varieties of sorghum with improved grain traits, grain composition must be measured on large sample sets grown at multiple locations and often with different crop practices, which is currently a labor-intensive and time-consuming process. Thus, this research investigated the ability of machine learning to predict plant growth features and grain composition collected by high throughput techniques and determine relationships between crop management practices and grain composition and ultimately end-use value. By identifying optimal variety-management combinations and leveraging non-invasive, high-throughput plant and grain analysis, this study offers a scalable framework for real-time decision-making and targeted field interventions to improve sorghum varieties. This dataset contains grain composition determined by near-infrared spectroscopy used as part of this research project.
DOI: 10.15482/usda.adc/30651527
title: Data from: Predictive Modeling of Seed Biochemicals Composition Traits using Machine learning algorithms

description: Sorghum is a versatile cereal crop grown the central U.S. especially in Kansas and Texas and is an important grain for feed, biofuel, and food markets. The growing demand for sorghum has increased the need for enhanced hybrids with superior grain composition, such as high protein and starch content, which are key determinants of its nutritional and economic value. The composition of sorghum grain is highly influenced by genetics, growth conditions, and crop management practices, all of which influence the final yield and quality of the crop. To develop new varieties of sorghum with improved grain traits, grain composition must be measured on large sample sets grown at multiple locations and often with different crop practices, which is currently a labor-intensive and time-consuming process. Thus, this research investigated the ability of machine learning to predict plant growth features and grain composition collected by high throughput techniques and determine relationships between crop management practices and grain composition and ultimately end-use value. By identifying optimal variety-management combinations and leveraging non-invasive, high-throughput plant and grain analysis, this study offers a scalable framework for real-time decision-making and targeted field interventions to improve sorghum varieties. This dataset contains grain composition determined by near-infrared spectroscopy used as part of this research project.
DOI: 10.15468/dl.6bpyhr
title: Occurrence Download

description: A dataset containing 4947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 2025",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation",
 "MediaType is one of (Image)",
 "KingdomKey is one of (Fungi)",
 "Geometry POLYGON ((-5.656186 35.4086, -4.851216 34.862486, -1.992272 34.70358, 1.394998 36.182767, 3.902395 36.545051, 5.333779 36.278172, 6.447429 36.631546, 8.038885 36.49726, 9.650135 36.937009, 10.62775 35.257168, 9.631504 34.35592, 10.025941 33.433753, 12.163994 32.473745, 13.267228 32.514908, 14.91248 32.044439, 15.553255 31.044296, 17.658708 30.559362, 18.898623 29.898841, 19.9019 30.115506, 20.423366 30.626174, 20.387326 31.830994, 20.672252 32.130252, 22.1198 32.535437, 23.163115 31.828629, 24.668842 31.619767, 25.164982 31.136013, 25.944543 31.227097, 28.994001 30.437093, 31.06959 31.207988, 31.755472 31.088306, 31.919412 30.147343, 32.560405 29.676795, 33.021679 30.089404, 32.789602 30.662536, 34.072361 30.814255, 35.037035 31.635636, 36.435414 34.532597, 36.254481 35.632144, 36.654353 36.767162, 36.255054 37.230868, 35.374607 36.954109, 34.703694 37.163663, 32.761987 36.415836, 30.97689 37.217219, 30.410171 37.15873, 30.110588 36.650294, 29.61398 36.564291, 29.364878 36.95103, 28.325632 37.114769, 27.650311 37.638012, 27.24477 38.362437, 27.387312 39.462373, 26.623587 39.963246, 27.206845 40.794408, 25.373982 41.276503, 23.668284 41.098014, 23.297464 40.644872, 22.57376 40.874001, 22.129515 40.269195, 22.556409 39.427338, 22.340239 38.712887, 21.44182 38.682787, 21.328113 39.316788, 20.588902 39.609839, 19.926936 40.412205, 19.921778 41.989277, 17.217851 43.616728, 15.784829 44.146395, 15.263553 45.217676, 14.607653 45.618815, 14.177232 45.551672, 13.67478 46.084592, 11.83805 45.591466, 11.924118 44.185301, 13.232363 43.332258, 13.719483 42.39734, 14.4605 41.831059, 16.794948 40.787273, 16.163479 40.056112, 15.15504 40.866756, 12.896646 41.749434, 11.55522 42.700515, 10.419779 44.231752, 8.526492 44.70717, 6.28555 43.455779, 3.986195 43.869753, 3.006818 43.497132, 2.543932 42.976849, 2.734625 42.028536, 0.36935 41.031735, -0.7128 39.686257, -0.511712 38.783978, -1.217085 37.917634, -2.296666 37.163384, -4.416668 37.073094, -5.328755 36.755209, -5.656186 35.4086), (22.544438 37.687655, 22.364124 37.245495, 21.828915 37.83411, 21.938647 37.903066, 22.544438 37.687655), (16.655969 39.233432, 16.524848 39.186424, 16.506332 39.29352, 16.655969 39.233432), (14.750777 37.728585, 14.763088 37.13712, 13.600329 37.647861, 14.399177 37.661072, 14.750777 37.728585), (9.090829 42.320821, 9.109729 42.239922, 9.088252 42.270334, 9.090829 42.320821), (8.823133 40.449555, 9.199309 40.756312, 9.195489 39.561466, 8.88939 39.481672, 8.990043 39.891725, 8.823133 40.449555))"
 ]
}

 The dataset includes 4947 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063198-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18021557
title: Functional trait data for palm species

description: This file contains data on the mean and standard deviation of the functional traits of palms by species in different ecosystems.
DOI: 10.5281/zenodo.18021559
title: Functional trait data for palm species

description: This file contains data on the mean and standard deviation of the functional traits of palms by species in different ecosystems.
DOI: 10.15468/dl.fmsqk2
title: Occurrence Download

description: A dataset containing 835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Hippoboscidae"
 ]
}

 The dataset includes 835 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063199-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjmcqq
title: Occurrence Download

description: A dataset containing 563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Potamochoerus larvatus"
 ]
}

 The dataset includes 563 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063200-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16754673
title: DSCOVR_EPIC Filter Functions

description: DSCOVR-EPIC (Deep Space Climate Observatory-Earth Polychromatic Imaging Camera) contains 10 narrow band filters. This file supplies the transmission functions of each filter for wavelengths measured in airat 1 atmosphere pressure. The units are in nm for wavelength and in percent for transmission.
DOI: 10.5281/zenodo.18021634
title: DSCOVR_EPIC Filter Functions

description: DSCOVR-EPIC (Deep Space Climate Observatory-Earth Polychromatic Imaging Camera) contains 10 narrow band filters. This file supplies the transmission functions of each filter for wavelengths measured in airat 1 atmosphere pressure. The units are in nm for wavelength and in percent for transmission.
DOI: 10.15468/dl.8arb69
title: Occurrence Download

description: A dataset containing 349 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Marmarina"
 ]
}

 The dataset includes 349 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063201-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsv2bd
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dolichotis patagonum",
 "Country is Belgium",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 37 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063202-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15125/bath-01201
title: Dataset for "Parametric conversion via second harmonic generation and two-hump solitons in phase-matched microresonators"

description: The present dataset includes all figures (.fig and .png versions) represented in the "Parametric conversion via second harmonic generation and two-hump solitons in phase-matched microresonators" paper and the data used there. The most valuable part of the dataset is dynamics simulation described in the paper, showing the appearance of Turing-pattern-like states and solitons in the chi2 microring resonator.
description: Full details of the methodology may be found in the section II 'Model' of the associated paper.
description: All simulations were performed with MATLAB software. Simulation parameters could be found in the section I of the associated paper.
description: Further relevant documentation may be found in the following resources.

   Pankratov, V., and Skryabin, D.,  2022.   Parametric conversion via second harmonic generation and two-hump solitons in phase-matched microresonators.    arXiv.  Available from: https://doi.org/10.48550/ARXIV.2210.07092.
DOI: 10.15468/dl.zryryr
title: Occurrence Download

description: A dataset containing 2123989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1975",
 "Year is less than or equal to 2025",
 {
 "or" : [
 "TaxonKey is Loxostege sticticalis",
 "TaxonKey is Mecyna flavalis",
 "TaxonKey is Sitochroa palealis",
 "TaxonKey is Pediasia luteella",
 "TaxonKey is Orgyia antiquoides",
 "TaxonKey is Leucoma candida",
 "TaxonKey is Euproctis similis",
 "TaxonKey is Lymantria monacha",
 "TaxonKey is Mythimna separata",
 "TaxonKey is Mythimna loreyi",
 "TaxonKey is Apamea devastator",
 "TaxonKey is Catocala nupta",
 "TaxonKey is Spartiniphaga",
 "TaxonKey is Xanthia gilvago",
 "TaxonKey is Xanthia icteritia",
 "TaxonKey is Helotropha leucostigma",
 "TaxonKey is Euxoa ochrogaster",
 "TaxonKey is Actebia fennica",
 "TaxonKey is Agrotis ipsilon",
 "TaxonKey is Agrotis tokionis",
 "TaxonKey is Agrotis",
 "TaxonKey is Pseudorthodes vecors",
 "TaxonKey is Apamea veterina",
 "TaxonKey is Actebia praecox",
 "TaxonKey is Emmelia trabealis"
 ]
 }
 ]
}

 The dataset includes 2123989 records from 1120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063191-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efbp7f
title: Occurrence Download

description: A dataset listing the 115 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is BeeWalk bumblebee distributions for Great Britain 2008-2022"
 ]
}

 The dataset's 115 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018312-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37nst9
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tessmannianthus Markgr."
 ]
}

 The dataset includes 302 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208769-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8mvet
title: Occurrence Download

description: A dataset containing 887004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dryocopus martius (Linnaeus, 1758)",
 "Year 1970-2023"
 ]
}

 The dataset includes 887004 records from 1697 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035799-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx5kwa
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GUM",
 "TaxonKey is Aerodramus bartschi (Mearns, 1909)"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056233-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bp7t8n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathyclarias longibarbis (Worthington, 1933)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((38.1793 -46.1562,37.7677 -46.1194,37.2426 -46.5425,37.1382 -46.9324,37.1382 -47.1134,37.4683 -47.4451,38.1018 -47.4039,38.3904 -47.0323,38.4703 -46.4598,38.1793 -46.1562))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056234-250525065834625/datasets/export for details.