cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.796rrw
title: Occurrence Download

description: A dataset containing 709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-125.65973 50.56769,-125.60154 50.27041,-125.119 49.76142,-124.89683 49.44511,-124.53927 49.30266,-124.08558 49.14276,-123.71155 48.78498,-123.60576 48.54436,-123.40966 48.47884,-123.69703 48.44519,-124.58888 48.64342,-124.85195 48.3569,-124.10256 48.13219,-123.39167 48.05938,-122.90636 48.03943,-122.51282 48.38738,-122.54583 48.82065,-122.80625 49.1162,-122.75898 49.48362,-122.91122 49.69361,-123.13472 49.43624,-123.13472 49.81806,-123.67254 49.51605,-123.37033 49.80038,-123.75365 49.78225,-123.57969 50.11618,-124.03162 50.34676,-124.22135 50.02718,-124.26698 50.31642,-124.19926 50.5899,-125.5174 50.78352,-125.65973 50.56769))",
 "HasGeospatialIssue is false",
 "TaxonKey is Ammodytes personatus Girard, 1856",
 "Year 1990-2025"
 ]
}

 The dataset includes 709 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035904-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15639473
title: Dataset of Reviewed Articles: Ethical and Intelligent Collaboration Framework (2023–2025)

description: This dataset contains the list of 89 peer-reviewed articles analysed in the systematic literature review titled Toward an Ethical and Intelligent Collaboration Framework (2023–2025). The articles were selected based on PRISMA protocol and classified into six main domains. This dataset supports transparency and replicability of the review findings.
DOI: 10.5281/zenodo.15639474
title: Dataset of Reviewed Articles: Ethical and Intelligent Collaboration Framework (2023–2025)

description: This dataset contains the list of 89 peer-reviewed articles analysed in the systematic literature review titled Toward an Ethical and Intelligent Collaboration Framework (2023–2025). The articles were selected based on PRISMA protocol and classified into six main domains. This dataset supports transparency and replicability of the review findings.
DOI: 10.7910/dvn/scmniy
title: Translating the Earth: Planetary Translation as a Framework for Mediating Ecological and Technological Futures Planet-Wide and Beyond

description: This study establishes Planetary Translation as a novel framework for addressing the cultural and ecological crises of the Anthropocene while transcending conventional textual mediation to unite diverse knowledge systems. Rooted in the triadic synergy of Eco-Translatology, Biophilia, and Consilience, Planetary Translation redefines translation as a multidisciplinary mediator that connects local realities with global imperatives. Through case studies such as (1) Google’s Flood Forecasting Initiative, (2) Destination Earth, (3) coral restoration via AI and VR, and (4) lunar mapping, the research demonstrates how adaptive, emotional, and integrative principles operationalize solutions for planetary challenges. Eco-Translatology ensures cultural and ecological fidelity in translational acts, Biophilia evokes humanity’s intrinsic bond with nature to inspire empathy and advocacy, and Consilience fosters interdisciplinary collaboration by uniting scientific, cultural, and technological insights. This synthesis transforms translation into a dynamic force for fostering ecological resilience and global inclusivity. Future research explores translational AI for marginalized languages and interdisciplinary curricula to cultivate planetary translators equipped to navigate the Anthropocene’s complexities. By integrating cultural sensitivity, technological innovation, and ecological stewardship, Planetary Translation emerges as a vital paradigm for fostering sustainable, equitable, and collaborative futures across the planet and beyond.
DOI: 10.15468/dl.59gxap
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerophrys gutturalis (Power, 1927)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035906-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/29941
title: Chandra X-ray Observatory ObsId 29941

description: X-ray observations of four radio-bright z&gt;2 kpc-scale jets
DOI: 10.15468/dl.74yt5t
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-125.65973 50.56769,-125.60154 50.27041,-125.119 49.76142,-124.89683 49.44511,-124.86983 50.06818,-124.53927 49.30266,-124.08558 49.14276,-123.71155 48.78498,-123.60576 48.54436,-123.40966 48.47884,-123.69703 48.44519,-124.58888 48.64342,-124.85195 48.3569,-124.10256 48.13219,-123.39167 48.05938,-122.90636 48.03943,-122.51282 48.38738,-122.54583 48.82065,-122.80625 49.1162,-122.75898 49.48362,-122.91122 49.69361,-123.13472 49.43624,-123.13472 49.81806,-123.67254 49.51605,-123.37033 49.80038,-123.75365 49.78225,-123.57969 50.11618,-124.03162 50.34676,-124.22135 50.02718,-124.26698 50.31642,-124.19926 50.5899,-125.5174 50.78352,-125.65973 50.56769))",
 "HasGeospatialIssue is false",
 "TaxonKey is Hypomesus pretiosus (Girard, 1854)",
 "Year 1990-2025"
 ]
}

 The dataset includes 43 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035907-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15079304
title: Quasi-steady Lagrangian transport patterns for the Black Sea

description: This is the data release for the publication "Persistent Lagrangian Transport patterns in the Black Sea identified from climatological Lagrangian Coherent Structures". (https://doi.org/10.1038/s41598-025-00432-5)

 

1) crho is defined as the climatological attraction strength, which is expressed in terms of a dimensionless quantity. 

The crho matrix encompasses values of: (longitude, latitude, time).

To facilitate the visualization of crho, it is recommended to utilize the colorbar value, which ranges from 0.4 to 1.3, where:

Values greater than 0.5 are indicative of isolated or stagnant regions.Values ranging from 0.5 to 0.7 are indicative of low attraction strength, denoting regions of minimal stirring and mixing.Values ranging from 0.7 to 1.0 are indicative of medium attraction strength.Values of crho > 1 are indicative of high attraction strength.Finally, values greater than 1.3 are indicative of maximum attraction strength, which corresponds to maximum stirring and mixing.

 

2) cLCS extract persistent and recurrent Lagrangian transport patterns or quasi-steady Lagrangian transport patterns.

To visualize the persistent squeezelines, it is necessary to utilize the variables clcs_xs and clcs_ys. The matrix must be permuted to the configuration: 501 x 778 x 12.

The climatological attraction strength of the persistent squeezelines refers to the matrix clcs_zs (501x778x12).

The following example illustrates this for the first month in Python:

xs = rootgrp.variables["clcs_xs"]ys = rootgrp.variables["clcs_ys"]zs = rootgrp.variables["clcs_zs"]plt.plot(xs[0], ys[0])plt.show()

In Matlab:

lon=permute(clcs_xs[2 1 3]);

lat=permute(clcs_ys[2 1 3]);

plot(lon(:,:,1),lat(:,:,1),'k');

 

If you want to redo it with your databases or for another region, a Matlab package is available at: https://bitbucket.org/rodu/clcss/src/master/

Any questions? mainarabg@gmail.com
DOI: 10.5281/zenodo.15079305
title: Quasi-steady Lagrangian transport patterns for the Black Sea

description: This is the data release for the publication "Persistent Lagrangian Transport patterns in the Black Sea identified from climatological Lagrangian Coherent Structures". (https://doi.org/10.1038/s41598-025-00432-5)

 

1) crho is defined as the climatological attraction strength, which is expressed in terms of a dimensionless quantity. 

The crho matrix encompasses values of: (longitude, latitude, time).

To facilitate the visualization of crho, it is recommended to utilize the colorbar value, which ranges from 0.4 to 1.3, where:

Values greater than 0.5 are indicative of isolated or stagnant regions.Values ranging from 0.5 to 0.7 are indicative of low attraction strength, denoting regions of minimal stirring and mixing.Values ranging from 0.7 to 1.0 are indicative of medium attraction strength.Values of crho > 1 are indicative of high attraction strength.Finally, values greater than 1.3 are indicative of maximum attraction strength, which corresponds to maximum stirring and mixing.

 

2) cLCS extract persistent and recurrent Lagrangian transport patterns or quasi-steady Lagrangian transport patterns.

To visualize the persistent squeezelines, it is necessary to utilize the variables clcs_xs and clcs_ys. The matrix must be permuted to the configuration: 501 x 778 x 12.

The climatological attraction strength of the persistent squeezelines refers to the matrix clcs_zs (501x778x12).

The following example illustrates this for the first month in Python:

xs = rootgrp.variables["clcs_xs"]ys = rootgrp.variables["clcs_ys"]zs = rootgrp.variables["clcs_zs"]plt.plot(xs[0], ys[0])plt.show()

In Matlab:

lon=permute(clcs_xs[2 1 3]);

lat=permute(clcs_ys[2 1 3]);

plot(lon(:,:,1),lat(:,:,1),'k');

 

If you want to redo it with your databases or for another region, a Matlab package is available at: https://bitbucket.org/rodu/clcss/src/master/

Any questions? mainarabg@gmail.com
DOI: 10.15468/dl.ps25vv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerophrys gutturalis (Power, 1927)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035908-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.du6z6z
title: Occurrence Download

description: A dataset containing 193387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is France",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is FRA.11.8_1"
 ]
}

 The dataset includes 193387 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035903-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7sqd9z
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Anemonoides nemorosa (L.) Holub"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035905-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12129827
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15468/dl.98957x
title: Occurrence Download

description: A dataset containing 31360 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Neuropteren Deutschlands (Neuropterida of Germany)"
 ]
}

 The dataset includes 31360 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035910-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3dkdz
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerophrys gutturalis (Power, 1927)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035913-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6x6yfs
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus bambusifolia Hance"
 ]
}

 The dataset includes 143 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035914-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15639731
title: Abwassersurveillance AMELAG

description: Das Vorhaben "Abwassermonitoring für die epidemiologische Lagebewertung" (AMELAG) läuft vom 22.11.2022 bis zum 31.12.2025. Behörden, Kläranlagen und Labore arbeiten zusammen, um Proben zu nehmen, zu analysieren und zu bewerten. Das Ziel dieses Vorhabens ist es, SARS-CoV-2-Nachweise aus dem Abwasser als zusätzlichen Indikator zur epidemiologischen Lagebewertung auf Länder- und Bundesebene zu etablieren. Ebenso ist es das Ziel, Strukturen und Prozesse für ein bundesweites Netzwerk für die Abwassersurveillance weiter auszubauen, Konzepte für eine Verstetigung zu erstellen und die Möglichkeiten für ein Monitoring von weiteren Krankheitserregern im Abwasser zu erforschen.
Abwassersurveillance ist eine Technik, um Erreger im Abwasser nachzuweisen, um Gesundheitsschutzmaßnahmen besser steuern zu können. Abwasserdaten erlauben keine genaue Einschätzung von Krankheitsschwere oder der Belastung des Gesundheitssystems. Bei der epidemiologischen Bewertung sollten die Daten mit anderen Indikatoren, z.B. aus der syndromischen Surveillance, kombiniert werden.
DOI: 10.5281/zenodo.15638872
title: 3D-data Runstenar i Hälsingland
title: 3D data Runestones in Hälsingland

description: 3D-scans of all preserved runestones in Hälsingland. This dataset includes 3D-models of 11th century runestones 3D-scanned for documentation and analysis at Runverket (the runic research group) at the Swedish National Heritage Board.
description: The signum Hs + number is an ID-code used in the record of runic inscriptions kept by Runverket at the Swedish National Heritage Board. The signum is used in most publications and web-based resources. It is the key to find further references on a specific runic inscription and the object carrying it.
description: The 3D-scanning was made by Henrik Zedig, Länsstyrelsen Västra Götaland, with a handheld laser scanner HandySCAN BLACK ELITE (blue laser) from Creaform with a resolution of 0.40 mm. The data is here provided as STL-files. 

Noice has been reduced by using the function Thin in Zeiss INSPECT Optical 3D at a threshold level of 0.02-0.03 mm.

Due to its size, the runestone Hs 10 is divided into six sections.

The runestone Hs 14 is scanned twice, first in the round and secondly focussing on the runic inscription using a higher resolution.
description: Signum
Place
Parish


Hs 1
Vevlinge by
Bollnäs sn


Hs 2
Norrala kyrka
Norrala sn


Hs 3
Borg
Norrala sn


Hs 4
Borg
Norrala sn


Hs 6
Prästgården
Järvsö sn


Hs 9
Hälsingtuna kyrka
Hälsingtuna sn


Hs 10
Hälsingtuna kyrka
Hälsingtuna sn


Hs 11
Högs kyrka
Högs sn


Hs 12
Högs kyrka
Högs sn


Hs 14
Malsta, Backa by
Rogsta sn


Hs 15
Sunnå kvarndamm
Rogsta sn


Hs 16
Delsbo kyrka
Delsbo sn


Hs 21
Jättendals kyrka
Jättendals sn
DOI: 10.5281/zenodo.15638873
title: 3D-data Runstenar i Hälsingland
title: 3D data Runestones in Hälsingland

description: 3D-scans of all preserved runestones in Hälsingland. This dataset includes 3D-models of 11th century runestones 3D-scanned for documentation and analysis at Runverket (the runic research group) at the Swedish National Heritage Board.
description: The signum Hs + number is an ID-code used in the record of runic inscriptions kept by Runverket at the Swedish National Heritage Board. The signum is used in most publications and web-based resources. It is the key to find further references on a specific runic inscription and the object carrying it.
description: The 3D-scanning was made by Henrik Zedig, Länsstyrelsen Västra Götaland, with a handheld laser scanner HandySCAN BLACK ELITE (blue laser) from Creaform with a resolution of 0.40 mm. The data is here provided as STL-files. 

Noice has been reduced by using the function Thin in Zeiss INSPECT Optical 3D at a threshold level of 0.02-0.03 mm.

Due to its size, the runestone Hs 10 is divided into six sections.

The runestone Hs 14 is scanned twice, first in the round and secondly focussing on the runic inscription using a higher resolution.
description: Signum
Place
Parish


Hs 1
Vevlinge by
Bollnäs sn


Hs 2
Norrala kyrka
Norrala sn


Hs 3
Borg
Norrala sn


Hs 4
Borg
Norrala sn


Hs 6
Prästgården
Järvsö sn


Hs 9
Hälsingtuna kyrka
Hälsingtuna sn


Hs 10
Hälsingtuna kyrka
Hälsingtuna sn


Hs 11
Högs kyrka
Högs sn


Hs 12
Högs kyrka
Högs sn


Hs 14
Malsta, Backa by
Rogsta sn


Hs 15
Sunnå kvarndamm
Rogsta sn


Hs 16
Delsbo kyrka
Delsbo sn


Hs 21
Jättendals kyrka
Jättendals sn
DOI: 10.15468/dl.d65xz2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerophrys gutturalis (Power, 1927)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035915-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqj8sj
title: Occurrence Download

description: A dataset containing 5433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Androsace helvetica (L.) All.",
 "Year 1950-2025"
 ]
}

 The dataset includes 5433 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035916-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/c3uvai/ecc5ni
title: HyDRA_dataset.tab

description: The HyDRA (Hydrate Donor Redshift Anticipation) dataset. A tabulation of the hydrogen-bonded OH bond stretching fundamental of water in selected hydrated complexes relative to the free water value of 3657 cm-1 (experimental symmetric stretch). The data pertains to gas phase low temperature experiments.
DOI: 10.25625/c3uvai
title: Hydrate Donor Redshift Anticipation (HyDRA) dataset

description: The HyDRA (Hydrate Donor Redshift Anticipation) dataset. A tabulation of the hydrogen-bonded OH bond stretching fundamental of water in selected hydrated complexes relative to the free water value of 3657 cm-1 (experimental symmetric stretch). The data pertains to gas phase low temperature experiments.
DOI: 10.25625/c3uvai/wh6ybr
title: HyDRA_dataset.tab

description: The HyDRA (Hydrate Donor Redshift Anticipation) dataset. A tabulation of the hydrogen-bonded OH bond stretching fundamental of water in selected hydrated complexes relative to the free water value of 3657 cm-1 (experimental symmetric stretch). The data pertains to gas phase low temperature experiments.
DOI: 10.15468/dl.zkyu9k
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is RSCROP: Desert Locust Monitoring, Forecasting and Assessment in Africa and Asia Archive from 2018-01-01 (Ongoing)"
 ]
}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035917-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbaucb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerophrys gutturalis (Power, 1927)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035918-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zv366
title: Occurrence Download

description: A dataset containing 174897 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany"
 ]
}

 The dataset includes 174897 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035911-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.