cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/tzs-49d-ydn
title: Anacyclus clavatus (Desf.) Pers.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gmy-pd5-c5q
title: Dacrydium xanthandrum Pilg.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/q0k-vrn-hmq
title: Podocarpus macrophyllus (Thunb.) Sweet

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/f02-drp-781
title: Dianthus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/77j-bvy-waj
title: Dacrydium xanthandrum Pilg.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jn8-n88-pz0
title: Odontarrhena chalcidica (Janka) Spaniel, Al-Shehbaz, D. A. German & Marhold

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/14y-9c6-33v
title: Dacrydium nidulum de Laub.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/l3q-aq4-gcl
title: Rhaponticum centauroides (L.) O. Bolòs

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/khm-n9n-8mz
title: Abies nordmanniana subsp. equi-trojani (Asch. & Sint. ex. Boiss.) Coode & Cullen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ncf-9ft-cxw
title: Pinus mugo Turra

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/1tk-fn2-nz9
title: Podocarpus lambertii Klotzsch ex. Endl.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/h3k-ngm-ayr
title: Astragalus depressus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.545u9s
title: Occurrence Download

description: A dataset containing 11033 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is eDNA-based occurrence dataset on fungi of fine woody debris studied in Northwestern Siberia"
 ]
}

 The dataset includes 11033 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113033-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/c7r-p98-1tv
title: Astragalus depressus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8z2-n42-hy9
title: Astragalus depressus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/eb4-h6g-zmv
title: Astragalus monspessulanus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dv9-8am-9p7
title: Astragalus depressus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/e5c-1l3-yax
title: Astragalus depressus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rwx-rqd-3pc
title: Dacrydium xanthandrum Pilg.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wmk-cxl-rlp
title: Asplenium aethiopicum (Burm. fil.) Bech.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xrg-adx-e6s
title: Arthrocaulon macrostachyum (Moric.) Piirainen & G. Kadereit

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/1zx-gp5-w22
title: Arthrocaulon macrostachyum (Moric.) Piirainen & G. Kadereit

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6b9-k8c-qty
title: Astragalus monspessulanus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ar1-18e-dnc
title: Astragalus monspessulanus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n9g-bga-42a
title: Astragalus monspessulanus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.6nwf5a
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is one of (USA.44_1, USA.37_1, USA.19_1)",
 "TaxonKey is Dytiscus carolinus"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009270-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58ue8c
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euxoa muldersi"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009272-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28ns96
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplusodon hirsutus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 223 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009275-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8jfg4
title: Occurrence Download

description: A dataset containing 21289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pachygrapsus crassipes"
 ]
}

 The dataset includes 21289 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009273-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3kpku
title: Occurrence Download

description: A dataset listing the 96074 species recorded in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Geometry POLYGON ((-78.08927 40.9105, -78.00737 41.28179, -77.95103 41.65585, -77.92081 42.03173, -77.91721 42.40842, -77.94068 42.78493, -77.99161 43.16021, -78.07028 43.53322, -78.17694 43.90292, -78.31173 44.26823, -78.47469 44.62807, -78.66579 44.98137, -78.88488 45.32703, -79.1317 45.66399, -79.4059 45.99116, -79.707 46.30748, -80.03439 46.6119, -80.38735 46.90339, -80.76502 47.18094, -81.16645 47.44358, -81.59051 47.69036, -82.036 47.92039, -82.50155 48.13281, -82.9857 48.32683, -83.48688 48.5017, -84.00341 48.65675, -84.53348 48.79138, -85.07525 48.90504, -85.62675 48.99729, -86.18599 49.06776, -86.75088 49.11616, -87.31933 49.1423, -87.88921 49.14606, -88.45838 49.12744, -89.0247 49.0865, -89.58607 49.02342, -90.1404 48.93845, -90.68566 48.83194, -91.21988 48.7043, -91.74116 48.55605, -92.24769 48.38777, -92.73774 48.2001, -93.20972 47.99378, -93.6621 47.76958, -94.09351 47.52833, -94.50267 47.27092, -94.88844 46.99827, -95.24981 46.71136, -95.58588 46.41117, -95.89588 46.09873, -96.17918 45.77509, -96.43525 45.4413, -96.6637 45.09844, -96.86422 44.74758, -97.03665 44.38982, -97.1809 44.02623, -97.297 43.65789, -97.38506 43.28587, -97.44528 42.91123, -97.47794 42.53502, -97.4834 42.15828, -97.46207 41.78202, -97.41445 41.40724, -97.34107 41.03491, -97.24253 40.66599, -97.11948 40.30141, -96.9726 39.94209, -96.8026 39.58889, -96.61024 39.24269, -96.3963 38.9043, -96.1616 38.57452, -95.90696 38.25412, -95.63323 37.94386, -95.34128 37.64442, -95.03199 37.3565, -94.70626 37.08074, -94.36498 36.81776, -94.00907 36.56814, -93.63944 36.33242, -93.25701 36.11113, -92.86273 35.90474, -92.45751 35.7137, -92.04228 35.53842, -91.61799 35.37928, -91.18557 35.23662, -90.74596 35.11073, -90.30009 35.0019, -89.84891 34.91034, -89.39334 34.83626, -88.93434 34.7798, -88.47283 34.7411, -88.00975 34.72022, -87.54605 34.71721, -87.08267 34.73209, -86.62053 34.76481, -86.16058 34.81531, -85.70375 34.88349, -85.25099 34.96919, -84.80323 35.07224, -84.36141 35.19243, -83.92647 35.32948, -83.49934 35.48312, -83.08097 35.65302, -82.67228 35.8388, -82.27421 36.04008, -81.8877 36.25642, -81.51367 36.48735, -81.15304 36.73235, -80.80674 36.99091, -80.47568 37.26244, -80.16077 37.54635, -79.86289 37.84198, -79.58294 38.14869, -79.32179 38.46576, -79.08029 38.79247, -78.85929 39.12805, -78.65959 39.47173, -78.48199 39.82267, -78.32726 40.18003, -78.19612 40.54294, -78.08927 40.9105))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen, Material sample)"
 ]
}

 The dataset's 96074 records were derived from 824 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009240-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3atyd8
title: Occurrence Download

description: A dataset containing 1338 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalus tigris"
 ]
}

 The dataset includes 1338 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009276-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bay2j6
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dicrostonyx nunatakensis"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009280-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dp82se
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Oreoneta herschel"
 ]
}

 The dataset includes 206 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009277-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8ftsn
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coelogyne cristata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 33 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009279-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18614130
title: Dataset_peal_v4_lhp
DOI: 10.5281/zenodo.18614129
title: Dataset_peal_v4_lhp
DOI: 10.15468/dl.n4tzf8
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corydoras pastazensis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 36 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009281-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18614139
title: Geometric Resolution of Cosmic Tensions: A Numerical Note on Λ and H₀

description: Are the “Crisis in Cosmology” and the “Vacuum Catastrophe” simply geometric artifacts of how we parametrize Λ and H₀?  

This data note and accompanying Python script demonstrate that two of the largest anomalies in physics—the Hubble tension and the cosmological constant problem—can be numerically reproduced as simple geometric boundary conditions, without introducing new dynamical physics or free parameters.

Key findings

- Hubble tension via sphere packing

  We show that the discrepancy between global (CMB) and local (SH0ES) measurements of H₀ corresponds to the geometric difference between a continuous fluid and a discrete packed structure. Applying the 3D kissing‑number packing factor (1 + 1/12) to the Planck 2018 value H₀ᴄᴍʙ = 67.4 km/s/Mpc predicts a local value of 73.02 km/s/Mpc, matching the SH0ES measurement (73.04 ± 1.04) at the level of about 0.02 standard deviations.

 

- Cosmological constant as a horizon invariant  

  We show that the apparent 10¹²² “fine‑tuning” of Λ disappears when Λ is treated as a boundary curvature term. The dimensionless product of Λ and the Hubble‑horizon area A_H reduces to an algebraic identity of order unity (~25.8), consistent with the geometric phase‑space factor 4π(π³/15) ≈ 25.98 to within about 0.7%.

 

Content

 

- PDF note: concise derivation and statement of the geometric constraints on Λ and H₀.  

- Python script (`cosmic_geometry_test_suite.py`): a reproducible, zero‑parameter test suite that evaluates these geometric identities against Planck 2018 and SH0ES inputs and reports explicit PASS/FAIL criteria.
DOI: 10.5281/zenodo.18612764
title: Finite frequency  ambient noise tomography of central and southern Africa

description: RC_datasets: Rayleigh wave dispersion curves (phase velocity) from 12s to 50s.

NCCFs_ex: Examples of noise cross correlation functiions (soon). 

Africa_crust_Vsv:  Crustal shear wave velocity models from transdimension probabilitic inversion (soon).

Africa_UM_Vsv: Upper mantle shear wave velocity models from transdimension probabilitic inversion (soon).
DOI: 10.5281/zenodo.18612763
title: Finite frequency  ambient noise tomography of central and southern Africa

description: RC_datasets: Rayleigh wave dispersion curves (phase velocity) from 12s to 50s.

NCCFs_ex: Examples of noise cross correlation functiions (soon). 

Africa_crust_Vsv:  Crustal shear wave velocity models from transdimension probabilitic inversion (soon).

Africa_UM_Vsv: Upper mantle shear wave velocity models from transdimension probabilitic inversion (soon).
DOI: 10.6084/m9.figshare.31319734
title: Phelleri_SSR_13loci_Magri et al 2026

description: We examined wing morphology in <i>Partamona helleri</i> across the Atlantic Forest range to evaluate the roles of environmental gradients and population structure in shaping phenotypic variation.
DOI: 10.6084/m9.figshare.31319734.v1
title: Phelleri_SSR_13loci_Magri et al 2026

description: We examined wing morphology in <i>Partamona helleri</i> across the Atlantic Forest range to evaluate the roles of environmental gradients and population structure in shaping phenotypic variation.
DOI: 10.15468/dl.tq2xe8
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus johanseni"
 ]
}

 The dataset includes 148 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009284-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ywxsc
title: Occurrence Download

description: A dataset containing 1817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Saccharina latissima",
 "Year 2024-2026"
 ]
}

 The dataset includes 1817 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009283-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygcbgh
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplusodon orbicularis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 149 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009285-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/u8ti1e
title: Data for: Spectral Diversity as a Predictor of Tree Diversity: exploring Challenges and Opportunities across Forest Ecosystems

description: This data is the cleaned spectral data along with the calculated biodiversity indices and environmental variables of the forest inventory plots used in the paper: Spectral Diversity as a Predictor of Tree Diversity: exploring Challenges and Opportunities across Forest Ecosystems. For details on the methods and further explanation of the data see the open access paper. Boreal_allseasons is the data from the boreal forest, mixed_allseasons is the data from the mixed forest, decid_allseasons is the data from the deciduous forests. Species_count provides the counts of each tree species (living, with a diameter at breast height &gt; 90 mm) in each forest plot. The datasets can be connected through the unique identifier number of each plot called id_pe_mes. Variable codes and definitions can be found in variable_codes.
DOI: 10.5281/zenodo.18613995
title: Global Riverine Dissolved Oxygen Dataset harmonized from various sources

description: The dataset file contains dissolved oxygen data for global rivers, which is obtained by preprocessing and harmonizing data from various global sources mentioned here:

1. Graham, D.J., Bierkens, M.F.P., Jones, E.R. et al. Climate change drives low dissolved oxygen and increased hypoxia rates in rivers worldwide. Nat. Clim. Chang. 15, 1348–1354 (2025). https://doi.org/10.1038/s41558-025-02483-y

2. European Environment Agency. Waterbase – Water Quality ICM. European Environment Agency (2022). https://www.eea.europa.eu/data-and-maps/data/waterbase-water-quality-icm-2

3. Hartmann, J., Lauerwald, R. & Moosdorf, N. A brief overview of the Global River Chemistry Database (GLORICH). Procedia Earth Planet. Sci. 10, 23–27 (2014). https://doi.org/10.1016/j.proeps.2014.08.005

4. Blaszczak, J. R., Koenig, L. E., Mejia, F. H., Gómez-Gener, L., Dutton, C. L., Carter, A. M., Grimm, N. B., Harvey, J. W., Helton, A. M., Cohen, M. J., Anyanwu, E. D., Pokrovsky, O. S., Krickov, I. V., Manasypov, R. M., Vorobyev, S. N. & Serikova, S. Distribution, frequency, and global extent of hypoxia in rivers. U.S. Geol. Surv. Data Release (2021). https://doi.org/10.5066/P99X6SIR

5.  Department of Water and Sanitation, South Africa. Research Quality Information Services (RQIS). https://www.dws.gov.za/iwqs/report.aspx (accessed 2026)

6.  UNEP GEMS/Water Programme & Federal Institute of Hydrology (BfG). GEMStat: Global Water Quality Database (version 2023). UNEP GEMS/Water Data Centre, Koblenz, Germany. https://gemstat.org/data/ (accessed 2026)

7. National Institute of Water and Atmospheric Research (NIWA). New Zealand Freshwater Quality Monitoring Data (National River Water Quality Network) (version 2023). NIWA, Wellington, New Zealand. https://hydrowebportal.niwa.co.nz/Data/DataSet/ (accessed 2026)

8. Environment and Climate Change Canada (ECCC). National Long-term Water Quality Monitoring Data. Government of Canada. https://catalogue.ec.gc.ca/geonetwork/srv/api/records/67b44816-9764-4609-ace1-68dc1764e9ea (accessed 2026)  We wholeheartedly thank Duncan J. Graham, Prof. Marc F.P. Bierkens and Prof. Michelle T.H. van Vliet (Utrecht University, Netherlands) for providing access and invaluable correspondence to the global dissolved oxygen datasets.

Usage Note: This repository is provided to support the reproducibility in future research. So, we request that the users should cite all the aforementioned references duly along with the current work to properly use the given dataset.
DOI: 10.5281/zenodo.18613994
title: Global Riverine Dissolved Oxygen Dataset harmonized from various sources

description: The dataset file contains dissolved oxygen data for global rivers, which is obtained by preprocessing and harmonizing data from various global sources mentioned here:

1. Graham, D.J., Bierkens, M.F.P., Jones, E.R. et al. Climate change drives low dissolved oxygen and increased hypoxia rates in rivers worldwide. Nat. Clim. Chang. 15, 1348–1354 (2025). https://doi.org/10.1038/s41558-025-02483-y

2. European Environment Agency. Waterbase – Water Quality ICM. European Environment Agency (2022). https://www.eea.europa.eu/data-and-maps/data/waterbase-water-quality-icm-2

3. Hartmann, J., Lauerwald, R. & Moosdorf, N. A brief overview of the Global River Chemistry Database (GLORICH). Procedia Earth Planet. Sci. 10, 23–27 (2014). https://doi.org/10.1016/j.proeps.2014.08.005

4. Blaszczak, J. R., Koenig, L. E., Mejia, F. H., Gómez-Gener, L., Dutton, C. L., Carter, A. M., Grimm, N. B., Harvey, J. W., Helton, A. M., Cohen, M. J., Anyanwu, E. D., Pokrovsky, O. S., Krickov, I. V., Manasypov, R. M., Vorobyev, S. N. & Serikova, S. Distribution, frequency, and global extent of hypoxia in rivers. U.S. Geol. Surv. Data Release (2021). https://doi.org/10.5066/P99X6SIR

5.  Department of Water and Sanitation, South Africa. Research Quality Information Services (RQIS). https://www.dws.gov.za/iwqs/report.aspx (accessed 2026)

6.  UNEP GEMS/Water Programme & Federal Institute of Hydrology (BfG). GEMStat: Global Water Quality Database (version 2023). UNEP GEMS/Water Data Centre, Koblenz, Germany. https://gemstat.org/data/ (accessed 2026)

7. National Institute of Water and Atmospheric Research (NIWA). New Zealand Freshwater Quality Monitoring Data (National River Water Quality Network) (version 2023). NIWA, Wellington, New Zealand. https://hydrowebportal.niwa.co.nz/Data/DataSet/ (accessed 2026)

8. Environment and Climate Change Canada (ECCC). National Long-term Water Quality Monitoring Data. Government of Canada. https://catalogue.ec.gc.ca/geonetwork/srv/api/records/67b44816-9764-4609-ace1-68dc1764e9ea (accessed 2026)  We wholeheartedly thank Duncan J. Graham, Prof. Marc F.P. Bierkens and Prof. Michelle T.H. van Vliet (Utrecht University, Netherlands) for providing access and invaluable correspondence to the global dissolved oxygen datasets.

Usage Note: This repository is provided to support the reproducibility in future research. So, we request that the users should cite all the aforementioned references duly along with the current work to properly use the given dataset.
DOI: 10.18112/openneuro.ds007398.v1.0.1
title: DESIGNER Preprocessed Diffusion Dataset (Early Reading)