cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14985077
title: GPP estimation by transfer learning with combined solar-induced chlorophyll fluorescence and eddy covariance data

description:  

This dataset provides 8-day global gross primary production (GPP) at 0.05° latitude by 0.05° longitude for 2001-2023.

(1) Model description and performance

n this study, a transfer learning (SIFEC-TL) method is proposed to obtain global long-time-series high-accuracy GPP products by combining constrained SIF and EC data. SIF data is used as the source domain to provide spatial information for pre-training, and EC GPP is used as the target domain to provide accurate GPP for fine-tuning of the machine learning model. To validate the performance of SIFEC-TL, the results are compared with those of machine learning models that use only SIF or EC GPP alone (SIFML and ECML). The results show that the SIFEC-TL model has higher temporal consistency and stronger spatial scalability than the SIFML and ECML models, which effectively addresses the underestimation/overestimation of high/low GPP values in the SIFML and ECML models.

(2) Dataset information

Non-vegetated areas in the dataset were filled using nan.

Data format: TIFF

Temporal Resolution: 8-Day

Spatial Resolution: 0.05°

Temporal Extent: 2001 to 2023

Spatial Extent: Global

Unit: g C m-2 8-day-1
DOI: 10.5281/zenodo.14998533
title: Supplement for "Old orogen - young topography: lithological contrasts controlling erosion and relief formation in the Bohemian Massif" - VERSION 2

description: The repository contains four archive files as a supplement for the journal article "Old orogen - young topography: lithological contrasts controlling erosion and relief formation in the Bohemian Massif"  (https://doi.org/10.5194/egusphere-2024-3256)

01_Tables.zip: the archive contains tables with erosion rates of the individual catchments, their topographic metrics and the degree of correlation between catchment-wide erosion rates and topographic metrics.

02_Movie.zip: the archive contains serval movies as supplement to Fig. 10 and show the time-dependent evolution of the topography, bedrock properties and erosion rates in the study region. 

03_Figures.zip: The archive contains a figure showing the geophysical relief and the drainage network color-coded for ksn, which serves as a supplement to Figure 1. Furthermore, figures are provided for the morphometric analysis of each of the 20 catchments studied. 

04_Numerical_Model.zip: the archive contains all files and required input data of the time-dependent model for describing landscape evolution in the area of the Bohemian
DOI: 10.5281/zenodo.14998534
title: Supplement for "Old orogen - young topography: lithological contrasts controlling erosion and relief formation in the Bohemian Massif" - VERSION 2

description: The repository contains four archive files as a supplement for the journal article "Old orogen - young topography: lithological contrasts controlling erosion and relief formation in the Bohemian Massif"  (https://doi.org/10.5194/egusphere-2024-3256)

01_Tables.zip: the archive contains tables with erosion rates of the individual catchments, their topographic metrics and the degree of correlation between catchment-wide erosion rates and topographic metrics.

02_Movie.zip: the archive contains serval movies as supplement to Fig. 10 and show the time-dependent evolution of the topography, bedrock properties and erosion rates in the study region. 

03_Figures.zip: The archive contains a figure showing the geophysical relief and the drainage network color-coded for ksn, which serves as a supplement to Figure 1. Furthermore, figures are provided for the morphometric analysis of each of the 20 catchments studied. 

04_Numerical_Model.zip: the archive contains all files and required input data of the time-dependent model for describing landscape evolution in the area of the Bohemian
DOI: 10.15468/dl.8xxzqg
title: Occurrence Download

description: A dataset containing 1079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "OccurrenceStatus is Present",
 "TaxonKey is Pavo muticus Linnaeus, 1766"
 ]
}

 The dataset includes 1079 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001965-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15004762
title: Piezoelectric seismometer

description: Dataset with the data for piezoelectric bimorph seismometer calibration.
DOI: 10.5281/zenodo.15004763
title: Piezoelectric seismometer

description: Dataset with the data for piezoelectric bimorph seismometer calibration.
DOI: 10.15468/dl.ss3zdt
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Ictiofauna del sistema lagunar costero Chacahua-La Pastoría, Oaxaca",
 "Geometry POLYGON((-97.67197345343071 15.99017671300722,-97.66483880062883 15.99017671300722,-97.66483880062883 15.9973113658091,-97.67197345343071 15.9973113658091,-97.67197345343071 15.99017671300722))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001967-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1127874
title: Data from an Archaeological Mitigation South of Birmingham Road, Coleshill, 2022 (HS2 Phase One)

description: This collection comprises of images, spreadsheets, CAD data and site records from an archaeological mitigation carried out by Wessex Archaeology on land south of Birmingham Road, Coleshill between February and June 2022.
DOI: 10.6084/m9.figshare.25866431.v1
title: Single Trait versus Multi-Trait Opinion Leadership Models

description: The superdiffuser model identifies a particular kind of opinion leader, those with three different traits beneficial to opinion leadership: connectedness, persuasiveness, and mavenness. Two other models of opinion leadership (strength of personality and generalized opinion leader) focus on a single trait conceptually including elements of both the persuader and connector traits. A nomological network of the superdiffuser model’s connector trait was developed and used to assess the extent to which the two other opinion leader models are distinct from the connector’s nomological network. Competing hypotheses were derived from the single trait and the superdiffuser multi-trait models. A survey (N = 700) was conducted to test these claims. The balance of the evidence was in favor of the superdiffuser model hypotheses with some important exceptions.
DOI: 10.6084/m9.figshare.25866431
title: Single Trait versus Multi-Trait Opinion Leadership Models

description: The superdiffuser model identifies a particular kind of opinion leader, those with three different traits beneficial to opinion leadership: connectedness, persuasiveness, and mavenness. Two other models of opinion leadership (strength of personality and generalized opinion leader) focus on a single trait conceptually including elements of both the persuader and connector traits. A nomological network of the superdiffuser model’s connector trait was developed and used to assess the extent to which the two other opinion leader models are distinct from the connector’s nomological network. Competing hypotheses were derived from the single trait and the superdiffuser multi-trait models. A survey (N = 700) was conducted to test these claims. The balance of the evidence was in favor of the superdiffuser model hypotheses with some important exceptions.
DOI: 10.15468/dl.auj28h
title: Occurrence Download

description: A dataset containing 43478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingCountry is South Africa",
 {
 "and" : [
 "Year 2020-2024",
 "Continent is one of (Africa)",
 "IucnRedListCategory is one of (NE, DD, LC, NT, VU, EN, CR)",
 "OccurrenceStatus is one of (Present)",
 "TaxonKey is one of (Tracheophyta)"
 ]
 }
 ]
}

 The dataset includes 43478 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001869-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c75be9
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllonorycter mespilella (Hübner, 1805)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 220 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001968-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3hp4f
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Embelia vestita Roxb.",
 "Year 1970-2000"
 ]
}

 The dataset includes 264 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001970-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14161025
title: Orthorectified video at Hommerich station, Geul River, The Netherlands

description: Video was taken at 2024-10-10T08:17:17 at the peak of a high flow event. The original video was taken at 1920x1080 resolution with 30 frames per second. Orthorectification was performed using PyOpenRiverCam (https://github.com/localdevices/pyorc), using 6 control points, measured with Real-Time-Kinematics GNSS to constrain k1 and k2 barrel distortion, focal length, and rotation and translation of the camera. Resolution is 0.01 meter in x and y direction.

The video is meant as a test case for image velocimetry methods and uploaded to support tests and examples of the PyOpenRiverCam and Fast and Flexible Particle Image Velocimetry (FF-PIV) libraries. For more information, visit https://github.com/localdevices/ffpiv

The video can be re-purposed for any other velocimetry experiment. The following files are included:

20241010_081717.mp4 : original video file

20241010_081717_ortho.mp4 : orthorectified video

hommerich_frames_20241010_081717.zip : zip-file containing orthorectified frames, stored as .JPG images.

hommerich_20241010_081717_pyorc_data.zip.zip : zip-file containing pyorc (test with v0.8.0) commands, recipe and camera configuration files. Two commands are included. One that processes with a known set water level from an external device, and one that attempts to estimate the water level optically.
DOI: 10.5281/zenodo.14161026
title: Orthorectified video at Hommerich station, Geul River, The Netherlands

description: Video was taken at 2024-10-10T08:17:17 at the peak of a high flow event. The original video was taken at 1920x1080 resolution with 30 frames per second. Orthorectification was performed using PyOpenRiverCam (https://github.com/localdevices/pyorc), using 6 control points, measured with Real-Time-Kinematics GNSS to constrain k1 and k2 barrel distortion, focal length, and rotation and translation of the camera. Resolution is 0.01 meter in x and y direction.

The video is meant as a test case for image velocimetry methods and uploaded to support tests and examples of the Fast and Flexible Particle Image Velocimetry (FF-PIV) library. For more information, visit https://github.com/localdevices/ffpiv

The video can be re-purposed for any other velocimetry experiment. The following files are included:

20241010_081717.mp4 : original video file

20241010_081717_ortho.mp4 : orthorectified video

hommerich_frames_20241010_081717.zip : zip-file containing orthorectified frames, stored as .JPG images.
DOI: 10.5281/zenodo.15002591
title: Orthorectified video at Hommerich station, Geul River, The Netherlands

description: Video was taken at 2024-10-10T08:17:17 at the peak of a high flow event. The original video was taken at 1920x1080 resolution with 30 frames per second. Orthorectification was performed using PyOpenRiverCam (https://github.com/localdevices/pyorc), using 6 control points, measured with Real-Time-Kinematics GNSS to constrain k1 and k2 barrel distortion, focal length, and rotation and translation of the camera. Resolution is 0.01 meter in x and y direction.

The video is meant as a test case for image velocimetry methods and uploaded to support tests and examples of the PyOpenRiverCam and Fast and Flexible Particle Image Velocimetry (FF-PIV) libraries. For more information, visit https://github.com/localdevices/ffpiv

The video can be re-purposed for any other velocimetry experiment. The following files are included:

20241010_081717.mp4 : original video file

20241010_081717_ortho.mp4 : orthorectified video

hommerich_frames_20241010_081717.zip : zip-file containing orthorectified frames, stored as .JPG images.

hommerich_20241010_081717_pyorc_data.zip.zip : zip-file containing pyorc (test with v0.8.0) commands, recipe and camera configuration files. Two commands are included. One that processes with a known set water level from an external device, and one that attempts to estimate the water level optically.
DOI: 10.5281/zenodo.15004830
title: Tilang Syariah
DOI: 10.5281/zenodo.15004831
title: Tilang Syariah
DOI: 10.34740/kaggle/dsv/10991316
title: e-IPO Indonesia Data - Investment
DOI: 10.15468/dl.m7m2ec
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.07699 46.15825,6.07311 46.15453,6.07631 46.15323,6.07694 46.15322,6.07699 46.15825))",
 "HasGeospatialIssue is false",
 "Year 2020-2025"
 ]
}

 The dataset includes 41 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001972-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fe7ut2
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyclosorus parasiticus (L.) Farw.",
 "Year 1970-2000"
 ]
}

 The dataset includes 117 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001974-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zykybn
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ophiorrhiza cantonensis Hance",
 "Year 1970-2000"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001973-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88sfrr
title: Occurrence Download

description: A dataset containing 924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Rubus buergeri Miq., Arachniodes cavaleriei (Christ) Ohwi)",
 "Year 1970-2000"
 ]
}

 The dataset includes 924 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001975-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mh7b38
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ranunculus repens var. flore-pleno DC.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001976-250310093411724/datasets/export for details.
DOI: 10.48804/kz04pn
title: Code accompanying the paper: "Predicting the statistical error of analog particle tracing Monte Carlo" by Vince Maes, Ignace Bossuyt, Hannes Vandecasteele, Wouter Dekeyser, Julian Koellermeier, Martine Baelmans and Giovanni Samaey

description: Code accompanying the paper: "Predicting the statistical error of analog particle tracing Monte Carlo" 
by Vince Maes, Ignace Bossuyt, Hannes Vandecasteele, Wouter Dekeyser, Julian Koellermeier, Martine Baelmans and Giovanni Samaey.
Experiments for the paper have been performed in MATLAB R2022b. The zip file contains all the code files needed to perform the numerical experiments described in the paper, as well as additional experiments. The zip file contains a README file with instructions for running the code and for reproducing the figures of the paper.
DOI: 10.15468/dl.ydq85r
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quadrastichus erythrinae Kim, 2004",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001978-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ye8wr5
title: Occurrence Download

description: A dataset containing 11047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Isurus Rafinesque, 1810"
 ]
}

 The dataset includes 11047 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001979-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hh49h
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.07699 46.15825,6.07311 46.15453,6.07631 46.15323,6.07694 46.15322,6.07699 46.15825))",
 "HasGeospatialIssue is false",
 "Year 2020-2025"
 ]
}

 The dataset includes 41 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001980-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkmd4e
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hydrangea lingii G.Hoo",
 "Year 1970-2000"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001981-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1074899.10fu
title: SH1074899.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1074904.10fu
title: SH1074904.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1074906.10fu
title: SH1074906.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.