cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/xjq-n5a-ajv
title: Pogonatum aloides (Hedw.) P. Beauv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ace-n2r-qc9
title: Meteorium nigrescens (Sw. ex Hedw.) Dozy & Molk.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fda-8aa-ygf
title: Pogonatum aloides (Hedw.) P. Beauv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/vf8-g50-6fk
title: Pogonatum aloides (Hedw.) P. Beauv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sbv-y1t-nm7
title: Pogonatum aloides (Hedw.) P. Beauv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/j2f-795-742
title: Hyophiladelphus agrarius (Hedw.) R.H. Zander

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/shg-xhm-9bt
title: Pogonatum aloides (Hedw.) P. Beauv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d0h-bbq-p2p
title: Rhacocarpus purpurascens (Brid.) Paris

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kw5-6lw-fht
title: Hyophiladelphus agrarius (Hedw.) R.H. Zander

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/7kt-df5-w34
title: Pogonatum aloides (Hedw.) P. Beauv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9s3-g2a-w93
title: Pogonatum aloides (Hedw.) P. Beauv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8gm-w8b-wev
title: Ptychostomum imbricatulum (Müll. Hal.) Holyoak & N. Pedersen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mds-0we-atm
title: Ptychostomum imbricatulum (Müll. Hal.) Holyoak & N. Pedersen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/s4q-sln-2a8
title: Ptychostomum imbricatulum (Müll. Hal.) Holyoak & N. Pedersen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tt6-2pl-3vv
title: Ptychostomum imbricatulum (Müll. Hal.) Holyoak & N. Pedersen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nrf-438-62f
title: Ptychostomum imbricatulum (Müll. Hal.) Holyoak & N. Pedersen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.3w37rk
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dahlia imperialis Roezl",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108746-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/389-hc4-gpw
title: Rosulabryum truncorum (Brid.) Ochyra ex J.R. Spence & Brinda

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/f3h-ypr-xjf
title: Ptychostomum imbricatulum (Müll. Hal.) Holyoak & N. Pedersen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/7wj-jqf-nh4
title: Ptychostomum imbricatulum (Müll. Hal.) Holyoak & N. Pedersen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tzh-exk-zyt
title: Ptychostomum imbricatulum (Müll. Hal.) Holyoak & N. Pedersen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/3k6-9f9-clb
title: Thuidium tamariscinum (Hedw.) Schimp.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/a6d-96j-ez7
title: Ptychostomum imbricatulum (Müll. Hal.) Holyoak & N. Pedersen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2qa-cal-hxg
title: Thuidium tamariscinum (Hedw.) Schimp.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d6b-m4a-s21
title: Thuidium tamariscinum (Hedw.) Schimp.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gb5-2d1-1ph
title: Thuidium tamariscinum (Hedw.) Schimp.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/yz4-gl0-8mk
title: Philonotis fontana (Hedw.) Brid.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tph-0hl-kcz
title: Dialytrichia mucronata (Brid.) Broth.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qlx-0ef-cym
title: Philonotis fontana (Hedw.) Brid.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.18434/mds2-2392
title: Python tools for OpenFOAM simulations of filament shapes in embedded 3D printing
DOI: 10.57841/casdc.0006867
title: 动态氢键助力高性能、机械坚固的非卤溶剂加工的有机太阳电池论文数据集
DOI: 10.15468/dl.veaqsm
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eurytemora affinis",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008004-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25835/z1wj9f2k
title: ACCURAUTO: GNSS Vehicle Antenna Calibration Results

description: This zip package contains multi-GNSS vehicle antenna calibration results generated within the __ACCURAUTO__ project (Accurate prediction of GNSS antenna performance in automotive scenarios). All results are provided in the ANTEX (Antenna Exchange) format and include:

- Phase center offsets and variations (PCO/PCV) per frequency block (entries under _START OF FREQUENCY_)
- Group delay variations for code measurements (GDV, also referred to as code‑phase center corrections, CPC; entries under _START OF GDV_)


The archive is organized into two top-level folders with results from DLR and Geopp:

- DLR: ANTEX files for multiple vehicle orientations relative to the calibration setup, including runs that incorporate the vehicle CAD model, as well as standalone antenna calibrations.
- Geopp: calibration results for the standalone antenna (folder "Roboter") and for the antenna mounted on the vehicle (folder "Insitu").


Further details on __ACCURAUTO__ are available in:

- Kröger, J., Ren, L., Wübbena, J., Tripathi, V., Caizzone, S., and Schön, S. (2024). _Impact of GNSS receivers on GNSS antenna performance prediction for automotive scenarios_. In: 11th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC), Noordwijk, The Netherlands. Presentation
- Tripathi, Veenu and Caizzone, Stefano (2025). _Hybrid GNSS Antenna Characterization for Automotive Scenarios_. European Conference on Antennas and Propagation (EuCAP) 2025, 2025-03-30 - 2025-04-04, Stockholm, Sweden
DOI: 10.5281/zenodo.14699672
title: Final dataset generated using the active learning scheme and the test set used to evaluate the models - PALIRS

description: This repository provides data supporting the publication:https://doi.org/10.1038/s41524-025-01827-8

It includes the initial geometries of 24 organic molecules (both DFT-optimized and non-optimized), the datasets generated through the active learning (AL) process for training machine-learned interatomic potentials (MLIPs), and the test sets used to evaluate their performance and transferability.

For details on model reproduction, please visit:https://gitlab.com/cest-group/PALIRS

Contents

Total_AL_data.xyz – 16,485 structures generated through active learning cycles for MLIP training. Extxyz format.Test_AL_data.xyz – 480 clustered structures from MLMD trajectories for MLIP validation. Extxyz format.Test_data_transferability.xyz – 400 clustered structures for assessing MLIP transferability. Extxyz format.WO_Opt_initial_str.zip – Non-optimized initial geometries of 24 organic molecules. Zip archive containing separate FHI-aims geometry.in files.Opt_initial_str.zip – DFT-optimized geometries of the same 24 molecules. Zip archive containing separate FHI-aims geometry.in files.
DOI: 10.5281/zenodo.14699673
title: Final dataset generated using the active learning scheme and the test set used to evaluate the models - PALIRS

description: This repository provides data supporting the publication:https://doi.org/10.1038/s41524-025-01827-8

It includes the initial geometries of 24 organic molecules (both DFT-optimized and non-optimized), the datasets generated through the active learning (AL) process for training machine-learned interatomic potentials (MLIPs), and the test sets used to evaluate their performance and transferability.

For details on model reproduction, please visit:https://gitlab.com/cest-group/PALIRS

Contents

Total_AL_data.xyz – 16,485 structures generated through active learning cycles for MLIP training. Extxyz format.Test_AL_data.xyz – 480 clustered structures from MLMD trajectories for MLIP validation. Extxyz format.Test_data_transferability.xyz – 400 clustered structures for assessing MLIP transferability. Extxyz format.WO_Opt_initial_str.zip – Non-optimized initial geometries of 24 organic molecules. Zip archive containing separate FHI-aims geometry.in files.Opt_initial_str.zip – DFT-optimized geometries of the same 24 molecules. Zip archive containing separate FHI-aims geometry.in files.
DOI: 10.15468/dl.bpsnj6
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Brevibacterium linens (Wolff, 1910) Breed, 1953"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014465-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26179/t8ct-gb21
title: Orthomosaic, Digital Elevation Model and Point Cloud of Edgeworth David Base Camp (Denman Terrestrial Campaign), Bunger Hills, 27 December 2024 (AAS4620/4622)
DOI: 10.25919/t7fw-jr34
title: Monitoring basketwork eels (Diastobranchus capensis) on Patience seamount - raw data and code

description: This dataset contains integrated hydroacoustic and deep towed camera data collected at Patience Seamount within Australia’s Huon Marine Park during 2023–2025. The data underpin analyses of spatial and temporal dynamics of deep sea fish aggregations dominated by basketwork eels (Diastobranchus capensis) and orange roughy (Hoplostethus atlanticus).
The dataset includes raw acoustic data files, processed backscatter (Sv, NASC), species attributed biomass rasters, towed camera imagery and annotations and bathymetry/habitat covariates and the R code used to simulate acoustic data and estimate the spatial distribution and biomass of basketwork eel and orange roughy.
DOI: 10.15468/dl.4xuwx6
title: Occurrence Download

description: A dataset containing 31904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gentiana asclepiadea)",
 "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 31904 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015166-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/27809f1
title: Big Bird: A global dataset of birds in drone imagery annotated to species level

description: Big Bird is a globally diverse dataset of images to support the development of computer vision tools for detecting and identifying birds in drone survey imagery. The dataset contains 23,865 images spanning broad biological, digital, and environmental contexts, including over 100 species of birds, 21 different camera systems, and all seven continents. Birds in a subset of 4,824 images are annotated with bounding boxes and biological attributes, including species, posture category, age category, and sex. This subset includes 49,990 bird annotations from 101 species. The dataset is intended to facilitate more efficient monitoring methods to inform effective conservation.
DOI: 10.15468/dl.99xv92
title: Occurrence Download

description: A dataset containing 3636 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Arthropod communities of island vs. mainland coastal grasslands: São Miguel Island (Azores) and Mainland Portugal"
 ]
}

 The dataset includes 3636 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015167-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h72ymz
title: Occurrence Download

description: A dataset containing 3239 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Arthropods from Praia da Vitória (Terceira, Azores, Portugal)"
 ]
}

 The dataset includes 3239 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015168-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vq9u5j
title: Occurrence Download

description: A dataset containing 313 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Asian Herpetological Collection - IICT"
 ]
}

 The dataset includes 313 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015170-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rj8kv3
title: Occurrence Download

description: A dataset containing 39387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnopithys leucaspis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39387 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015169-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ckum6
title: Occurrence Download

description: A dataset containing 10583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gentiana clusii)",
 "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 10583 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015171-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hctau
title: Occurrence Download

description: A dataset containing 3952 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Assessment of zooplankton at the site of the sinking of the N.R.P. \"S. Miguel\""
 ]
}

 The dataset includes 3952 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015173-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdtxzm
title: Occurrence Download

description: A dataset containing 1015636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2004",
 "Geometry POLYGON((-25.0 64.0, 45.0 64.0, 45.0 69.0, -25.0 69.0, -25.0 64.0))"
 ]
}

 The dataset includes 1015636 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015126-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2feapk
title: Occurrence Download

description: A dataset containing 9517 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Assessment of Zooplankton in the area of Prestige oil tanker accident"
 ]
}

 The dataset includes 9517 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015172-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8shyb
title: Occurrence Download

description: A dataset containing 6030 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ensatina eschscholtzii oregonensis"
 ]
}

 The dataset includes 6030 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015176-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17895875
title: Unvegetated tidal flats: a critical yet vulnerable coastal blue carbon sink

description: Summary of carbon stock, carbon accumulation rate, and GHG fluxes in global tidal flat studies.
DOI: 10.5281/zenodo.17895874
title: Unvegetated tidal flats: a critical yet vulnerable coastal blue carbon sink

description: Summary of carbon stock, carbon accumulation rate, and GHG fluxes in global tidal flat studies.
DOI: 10.15468/dl.r532k7
title: Occurrence Download

description: A dataset containing 3167 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Atlas of Freshwater Bivalves 2007"
 ]
}

 The dataset includes 3167 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015178-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4hj32
title: Occurrence Download

description: A dataset containing 4583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gentiana cruciata)",
 "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 4583 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015177-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18500400
title: SuperDARN data in netCDF format (2014-Aug)

description: 2014-Aug SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6476519
title: SuperDARN data in netCDF format (2014-Aug)

description: 2014-Aug SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.58024/aguqcb42e9bf
title: Lu-Hf in Mafic and detrital apatite 

description: This data package contains in-situ Lu–Hf analyses of igneous and detrital from apatite, acquired by laser-ablation ICP-MS. The dataset includes measured ratios, calculated ages, and initial Hf compositions. The analyses preserve petrographic context and support interpretations presented in the associated PhD thesis and related publications