cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18490758
title: Data and code for: Hoefer S, Allen-Ankins S, McKnight DT, Nordberg EJ, Schwarzkopf L (2026) Passive acoustic monitoring outperforms observer-based methods for Australian frog communities

description: Contains:



/data: data used in the analyses.


frog_data.csv: main dataset containing individual detection of each frog species for each survey plot at each site.

frogs_PAM_daily_all.csv: dataset containing validation of 115 example calls for 50 species of Australian frogs.

frog_data_season.csv: dataset containing seasonal detections of frogs via PAM.

expenses_daily.csv: dataset containing expenses of OBM and PAM broken down by day.

ReadMeDataFiles.txt: meta-data describing the contents and structure of frog_data.csv, frogs_PAM_daily_all.csv, frog_data_season.csv, and expenses_daily.csv.



/scripts: R code in qmd format.


R_code_biodiversityFrogs.qmd: R code used for all data processing, visualisation, and analyses.



/supplemantary: Supplemantary tables and figures.


supporting_information.pdf: Supplementary figures S1-S3 and tables S1-S5.
DOI: 10.5281/zenodo.18490757
title: Data and code for: Hoefer S, Allen-Ankins S, McKnight DT, Nordberg EJ, Schwarzkopf L (2026) Passive acoustic monitoring outperforms observer-based methods for Australian frog communities

description: Contains:



/data: data used in the analyses.


frog_data.csv: main dataset containing individual detection of each frog species for each survey plot at each site.

frogs_PAM_daily_all.csv: dataset containing validation of 115 example calls for 50 species of Australian frogs.

frog_data_season.csv: dataset containing seasonal detections of frogs via PAM.

expenses_daily.csv: dataset containing expenses of OBM and PAM broken down by day.

ReadMeDataFiles.txt: meta-data describing the contents and structure of frog_data.csv, frogs_PAM_daily_all.csv, frog_data_season.csv, and expenses_daily.csv.



/scripts: R code in qmd format.


R_code_biodiversityFrogs.qmd: R code used for all data processing, visualisation, and analyses.



/supplemantary: Supplemantary tables and figures.


supporting_information.pdf: Supplementary figures S1-S3 and tables S1-S5.
DOI: 10.25914/tzyp-dy03
title: South Island Seismology at the Speed of Light Experiment (SISSLE)
DOI: 10.15468/dl.ggt3jc
title: Occurrence Download

description: A dataset containing 4789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenocereus thurberi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4789 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013301-260129131611470/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.31260479.v1
title: Investigating the spatiotemporal behavior of VIC model parameters over the Tibetan plateau via global sensitivity analysis and machine learning

description: The Tibetan Plateau (TP), known as the ‘Asian Water Tower’, poses significant challenges for hydrological modeling due to its complex cryospheric processes and parametric uncertainties. To address these challenges, we developed an integrated evaluation framework that combines spatiotemporal performance metrics with three global sensitivity analysis methods, based on the Variable Infiltration Capacity (VIC) model. Four alpine river basins were used as case studies to assess the impact of 33 parameters on nine hydro-energy variables across daily, seasonal, and spatial scales. Key drivers of spatial heterogeneity in parameter sensitivities were identified. The results indicate that snow albedo, leaf area index, and the soil drainage parameter broadly influence multiple processes. Runoff and baseflow sensitivities vary spatiotemporally. Random Forest-based SHapley Additive Explanations analysis reveals an east-west gradient in parameter sensitivity, driven by temperature, precipitation, and radiation. Two-step parameter optimization improves the average daily simulation efficiency and spatial consistency for land surface temperature and snow cover fraction by 33% and 30%, respectively, without compromising runoff accuracy. Transferring parameter sensitivities to similar basins confirms the framework's robustness and generalizability. This study underscores the importance of non-runoff parameters, enhances simulation performance, and provides insights into seasonal hydrological variability for more robust model applications across the TP.
DOI: 10.6084/m9.figshare.31260479
title: Investigating the spatiotemporal behavior of VIC model parameters over the Tibetan plateau via global sensitivity analysis and machine learning

description: The Tibetan Plateau (TP), known as the ‘Asian Water Tower’, poses significant challenges for hydrological modeling due to its complex cryospheric processes and parametric uncertainties. To address these challenges, we developed an integrated evaluation framework that combines spatiotemporal performance metrics with three global sensitivity analysis methods, based on the Variable Infiltration Capacity (VIC) model. Four alpine river basins were used as case studies to assess the impact of 33 parameters on nine hydro-energy variables across daily, seasonal, and spatial scales. Key drivers of spatial heterogeneity in parameter sensitivities were identified. The results indicate that snow albedo, leaf area index, and the soil drainage parameter broadly influence multiple processes. Runoff and baseflow sensitivities vary spatiotemporally. Random Forest-based SHapley Additive Explanations analysis reveals an east-west gradient in parameter sensitivity, driven by temperature, precipitation, and radiation. Two-step parameter optimization improves the average daily simulation efficiency and spatial consistency for land surface temperature and snow cover fraction by 33% and 30%, respectively, without compromising runoff accuracy. Transferring parameter sensitivities to similar basins confirms the framework's robustness and generalizability. This study underscores the importance of non-runoff parameters, enhances simulation performance, and provides insights into seasonal hydrological variability for more robust model applications across the TP.
DOI: 10.15468/dl.87xegb
title: Occurrence Download

description: A dataset containing 662 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perdita xanthochroa"
 ]
}

 The dataset includes 662 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013302-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtqquj
title: Occurrence Download

description: A dataset containing 84184326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 84184326 records from 2414 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249300-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17143338
title: Atomistic Simulations on the Third Body Effect of Water-Rich Ices in Radical--Radical Chemistry

description: This dataset contains the AIMD trajectories. TS_MD refers to trajectories initiated from the TS structure, and REAC_MD refers to trajectories initiated from the reactant structure.
DOI: 10.5281/zenodo.17143337
title: Atomistic Simulations on the Third Body Effect of Water-Rich Ices in Radical--Radical Chemistry

description: This dataset contains the AIMD trajectories. TS_MD refers to trajectories initiated from the TS structure, and REAC_MD refers to trajectories initiated from the reactant structure.
DOI: 10.57702/rcgt4uf1
title: PhysioNet Challenge 2017 Dataset

description: PhysioNet Challenge 2017 Dataset which contains simultaneously acquired PCG and ECG recordings.
DOI: 10.57702/k92e5rnd
title: Realistic Directional Multi-path Model

description: The dataset used in this paper is a realistic multipath channel model, which takes into account 3D propagation and polarization effects.
DOI: 10.57702/nbbqttlh
title: Clinical Cardiac Datasets

description: The dataset used for testing the proposed Data-iterative Optimization Score Model (DOSM) for stable ultra-sparse-view CT reconstruction.
DOI: 10.57702/as91m3d9
title: Reinforcement Learning from Human Feedback with Active Queries

description: Aligning large language models (LLM) with human preference plays a key role in building modern generative models and can be achieved by reinforcement learning from human feedback (RLHF).
DOI: 10.57702/gzz1ayqj
title: Styledrop

description: A dataset of pre-trained models and their corresponding text prompts used for text-to-image generation and editing.
DOI: 10.57702/xyvydfni
title: DisGeNET - a database of gene-disease associations

description: DisGeNET - a database of gene-disease associations
DOI: 10.57702/p46kjie1
title: Multilingual Document Classification Corpus

description: A new evaluation framework for cross-lingual document classification in eight languages.
DOI: 10.57702/nj17mkoa
title: Lorenz System

description: The Lorenz system is a well-known nonlinear dynamical system to model convective hydrodynamic flows. The consequence of chaos is that, under certain parameterizations, the trajectories of the deterministic Lorenz system become arbitrarily sensitive to small perturbations in the initial conditions.
DOI: 10.57702/o120fu4p
title: CifarQuick

description: The CifarQuick model is a medium-sized convolutional neural network trained on the Cifar-10 dataset.
DOI: 10.57702/sk4pxfo6
title: WALS

description: The World Atlas of Language Structures (WALS) is a large knowledge base of typological properties at the lexical, phonological, syntactic and semantic level.
DOI: 10.57702/n5nxri1x
title: Stanford Cars dataset

description: The Stanford Cars dataset is a dataset of images of cars, with 196 categories and approximately 16,000 images. The authors created a synthetic dataset by adding occlusions of various sizes and nature to the existing dataset.
DOI: 10.57702/5ma7hz0j
title: Charades-STA dataset

description: Temporal grounding of activities, the identification of specific time intervals of actions within a larger event context, is a critical task in video understanding.
DOI: 10.57702/o54r9pdy
title: Probabilistic Relational Model Benchmark Generation

description: The proposed process allows to randomly generate probabilistic relational models and instantiate them to populate a relational database.
DOI: 10.15468/dl.pg7uar
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ixiolirion tataricum, Amaryllis tatarica, Ixiolirion pallasii, Ixiolirion pallasii, Ixiolirion tataricum)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2024",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 4500",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen, Material sample, Living Specimen)"
 ]
}

 The dataset includes 450 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079994-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/u9if16v0
title: CodeWorkout Dataset

description: The CodeWorkout (CWO) programming dataset is used to analyze log data with anomalies.
DOI: 10.15468/dl.y3dsb9
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Saussurea amara, Saussurea amara, Saussurea amara amara, Saussurea amara microcephala, Saussurea amara exappendiculata, Saussurea amara glomerata, Saussurea amara microcephala, Saussurea centauroides, Saussurea glomerata, Saussurea glomerata alata, Saussurea glomerata glomerata, Saussurea glomerata glomerata, Saussurea gmelinii, Saussurea japonica alata, Saussurea japonica leucophylla, Saussurea japonica alata, Saussurea laevigata, Saussurea laevigata, Saussurea macrocephala, Saussurea microcephala, Saussurea microcephala, Saussurea microcephala leucocephala, Saussurea microcephala pteroclada, Saussurea microcephala aptera, Saussurea scabra, Saussurea tenuicaulis, Serratula amara, Theodorea amara, Theodorea glomerata, Theodorea integrata, Theodorea microcephala, Vernonia amara)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2024",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 4500",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen, Material sample, Living Specimen)"
 ]
}

 The dataset includes 472 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079995-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgu2ju
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.2654 23.642068, 89.188744 23.636491, 89.11399400000001 23.619899, 89.043009 23.592705, 88.977549 23.555583, 88.919234 23.509457, 88.86950400000001 23.455471, 88.82958000000001 23.394961, 88.800436 23.329427, 88.782775 23.260487, 88.777016 23.189842, 88.783281 23.119234, 88.801399 23.0504, 88.830906 22.98503, 88.871064 22.924729, 88.920874 22.870972, 88.979108 22.825076, 89.044335 22.788163, 89.114958 22.761133, 89.189251 22.744647, 89.2654 22.739106, 89.341549 22.744647, 89.415842 22.761133, 89.486465 22.788163, 89.551692 22.825076, 89.609926 22.870972, 89.659736 22.924729, 89.699894 22.98503, 89.729401 23.0504, 89.747519 23.119234, 89.753784 23.189842, 89.748025 23.260487, 89.73036399999999 23.329427, 89.70122000000001 23.394961, 89.66129599999999 23.455471, 89.611566 23.509457, 89.553251 23.555583, 89.487791 23.592705, 89.41680599999999 23.619899, 89.342056 23.636491, 89.2654 23.642068))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079993-251120083545085/datasets/export for details.
DOI: 10.57702/nc9rsac4
title: ABC-6K dataset

description: The ABC-6K dataset includes prompts with at least two color words modifying different objects.
DOI: 10.57702/4q3n80xx
title: TinyPersons

description: The TinyPersons dataset is a small-scale dataset for object detection, consisting of images of tiny humans.
DOI: 10.57702/jz85ydff
title: Summary Statistics

description: Summary statistics of the survey data
DOI: 10.57702/khnlruwo
title: Amazon Alexa Dataset

description: A 23 thousand hour corpus of untranscribed, de-identified, far-field, English voice command and voice query speech.
DOI: 10.15468/dl.4znbhg
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba lindenii (Hook.) Planch."
 ]
}

 The dataset includes 39 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157022-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpskzm
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((117.29151118186878 2.795945690202674,117.54982724153375 2.795945690202674,117.54982724153375 3.0542617498676443,117.29151118186878 3.0542617498676443,117.29151118186878 2.795945690202674))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103630-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8jvws
title: Occurrence Download

description: A dataset containing 559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Volema pyrum (Gmelin, 1791)"
 ]
}

 The dataset includes 559 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103610-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gm9nc6
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-75.3941236999999944 40.5925883000000027, -75.3941236999999944 40.5932577399999985, -75.3941236999999944 40.5937302900000034, -75.3941236999999944 40.5944391100000033, -75.3941236999999944 40.5949904200000020, -75.3941236999999944 40.5956992400000019, -75.3941236999999944 40.5965261999999996, -75.3929816600000038 40.5965261999999996, -75.3921152900000067 40.5965261999999996, -75.3910913899999997 40.5965261999999996, -75.3902250200000026 40.5965261999999996, -75.3894767799999954 40.5965261999999996, -75.3885710299999943 40.5965261999999996, -75.3877046500000034 40.5965261999999996, -75.3867595199999982 40.5965261999999996, -75.3862475699999948 40.5965261999999996, -75.3855781000000036 40.5965261999999996, -75.3855781000000036 40.5958567599999967, -75.3855781000000036 40.5950691800000030, -75.3855781000000036 40.5942422199999982, -75.3855781000000036 40.5935727800000024, -75.3855781000000036 40.5925883000000027, -75.3860900500000071 40.5925883000000027, -75.3867989000000023 40.5925883000000027, -75.3875077499999975 40.5925883000000027, -75.3884922700000004 40.5925883000000027, -75.3896343100000053 40.5925883000000027, -75.3905006800000024 40.5925883000000027, -75.3911307700000037 40.5925883000000027, -75.3919577700000048 40.5925883000000027, -75.3925484800000021 40.5925883000000027, -75.3935329899999971 40.5925883000000027, -75.3941236999999944 40.5925883000000027))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104782-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t4shb
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-83.1131790999999964 42.3730802999999980, -83.1131790999999964 42.3761752400000020, -83.1131790999999964 42.3793991399999967, -83.1131790999999964 42.3824940900000016, -83.1131790999999964 42.3844284299999998, -83.1131790999999964 42.3859758999999983, -83.1093177900000057 42.3859758999999983, -83.1068724600000053 42.3859758999999983, -83.1050706300000002 42.3859758999999983, -83.1024965999999949 42.3859758999999983, -83.0995362000000029 42.3859758999999983, -83.0995362000000029 42.3844284299999998, -83.0995362000000029 42.3818493099999998, -83.0995362000000029 42.3803018400000013, -83.0995362000000029 42.3778516699999983, -83.0995362000000029 42.3750146400000034, -83.0995362000000029 42.3730802999999980, -83.1026252999999997 42.3730802999999980, -83.1049419299999954 42.3730802999999980, -83.1085455799999977 42.3730802999999980, -83.1100899999999996 42.3730802999999980, -83.1131790999999964 42.3730802999999980))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 62 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091248-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ae22x3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chimonanthus grammatus M.C.Liu"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104788-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cu69c9
title: Occurrence Download

description: A dataset containing 920362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Myocastor coypus (Molina, 1782))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 920362 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137252-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgdyab
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maoricrater exploratus (Dell, 1953)"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091251-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrrbyk
title: Occurrence Download

description: A dataset containing 53587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coprinus comatus (O.F.Müll.) Pers."
 ]
}

 The dataset includes 53587 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137245-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.