cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xaf9d3
title: Occurrence Download

description: A dataset containing 114098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-121.80174237180015 42.28596266176475, -121.81321030659171 42.28399873757201, -121.82394063383718 42.28041011602586, -121.83352027873 42.27533504122549, -121.8415807503863 42.26896896890164, -121.84781235598473 42.26155699059965, -121.85197609162827 42.25338434683986, -121.85391275467116 42.244765404219606, -121.85354893850064 42.23603152939148, -121.85089969829215 42.2275183327623, -121.84606780899125 42.219552775460286, -121.8392396689093 42.21244063435615, -121.83067802861808 42.20645480226422, -121.8207118408643 42.20182486516052, -121.80972362945774 42.19872834717471, -121.79813486087494 42.19728394950205, -121.78638986979566 42.19754703379672, -121.77493893775906 42.19950751679422, -121.76422115186567 42.20309025371665, -121.75464767761561 42.20815789634628, -121.74658606647242 42.214516120433515, -121.74034618473917 42.22192102925582, -121.73616829628266 42.230088458556374, -121.73421375838551 42.238704835591065, -121.73455869894083 42.24743918429392, -121.7371909364093 42.25595582211508, -121.74201028435515 42.26392726403676, -121.7488322537753 42.27104683730911, -121.75739503352939 42.27704051763811, -121.76736949740307 42.28167752422475, -121.7783718616255 42.284779256673865, -121.78997850508165 42.28622621993463, -121.80174237180015 42.28596266176475))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 114098 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005601-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45ek59
title: Occurrence Download

description: A dataset containing 114098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-121.80174237180015 42.28596266176475, -121.81321030659171 42.28399873757201, -121.82394063383718 42.28041011602586, -121.83352027873 42.27533504122549, -121.8415807503863 42.26896896890164, -121.84781235598473 42.26155699059965, -121.85197609162827 42.25338434683986, -121.85391275467116 42.244765404219606, -121.85354893850064 42.23603152939148, -121.85089969829215 42.2275183327623, -121.84606780899125 42.219552775460286, -121.8392396689093 42.21244063435615, -121.83067802861808 42.20645480226422, -121.8207118408643 42.20182486516052, -121.80972362945774 42.19872834717471, -121.79813486087494 42.19728394950205, -121.78638986979566 42.19754703379672, -121.77493893775906 42.19950751679422, -121.76422115186567 42.20309025371665, -121.75464767761561 42.20815789634628, -121.74658606647242 42.214516120433515, -121.74034618473917 42.22192102925582, -121.73616829628266 42.230088458556374, -121.73421375838551 42.238704835591065, -121.73455869894083 42.24743918429392, -121.7371909364093 42.25595582211508, -121.74201028435515 42.26392726403676, -121.7488322537753 42.27104683730911, -121.75739503352939 42.27704051763811, -121.76736949740307 42.28167752422475, -121.7783718616255 42.284779256673865, -121.78997850508165 42.28622621993463, -121.80174237180015 42.28596266176475))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 114098 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005606-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xabj9n
title: Occurrence Download

description: A dataset containing 2389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-122.03574679387461 42.19463275822431, -122.04718738060605 42.192642402343296, -122.05788469839614 42.18902940595674, -122.0674269484231 42.18393295157118, -122.07544708443574 42.17754931722132, -122.0816369702211 42.170124268946815, -122.08575920965157 42.16194354809444, -122.08765619654238 42.15332182939484, -122.08725604781453 42.14459058344468, -122.08457521088815 42.13608531682858, -122.07971766877321 42.12813268350135, -122.07287079818252 42.12103796198243, -122.06429806195608 42.11507337496469, -122.0543288327472 42.11046769239011, -122.04334574676024 42.10739750773985, -122.03177007171328 42.10598051249136, -122.02004564028368 42.10627101797166, -122.0086219478766 42.10825788992804, -121.99793704093705 42.11186497189796, -121.9884008288481 42.116953981792115, -121.98037943864375 42.12332977493268, -121.97418119748137 42.130747779032866, -121.97004477352222 42.13892332515694, -121.96812993241625 42.147542526378835, -121.96851127538073 42.156274295364476, -121.97117521799737 42.164783045901956, -121.97602034925855 42.172741593641746, -121.98286118189215 42.179843759649614, -121.99143517228647 42.185816187877194, -122.00141275685775 42.19042891462935, -122.01241002737662 42.19350427401196, -122.02400355665783 42.19492378674064, -122.03574679387461 42.19463275822431))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 2389 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005637-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17295901
title: Thermal Car Segmentation Dataset

description: This dataset contains annotated thermal images focused exclusively on car segmentation, created under the EU-funded project ODYSSEUS (Grant Agreement ID: 101073910). It is designed primarily for training and evaluating YOLO-based object detection and segmentation models on thermal data.

Each image includes precise annotations for car contours and bounding boxes, facilitating research in autonomous systems, intelligent surveillance, and thermal vision applications. The dataset supports the development of robust AI models capable of detecting vehicles under challenging visibility conditions, contributing to ODYSSEUS’s mission of advancing AI-driven situational awareness technologies.
DOI: 10.5281/zenodo.17295900
title: Thermal Car Segmentation Dataset

description: This dataset contains annotated thermal images focused exclusively on car segmentation, created under the EU-funded project ODYSSEUS (Grant Agreement ID: 101073910). It is designed primarily for training and evaluating YOLO-based object detection and segmentation models on thermal data.

Each image includes precise annotations for car contours and bounding boxes, facilitating research in autonomous systems, intelligent surveillance, and thermal vision applications. The dataset supports the development of robust AI models capable of detecting vehicles under challenging visibility conditions, contributing to ODYSSEUS’s mission of advancing AI-driven situational awareness technologies.
DOI: 10.15468/dl.72mt3h
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Halyzia sedecimguttata",
 "BasisOfRecord is Specimen",
 "LifeStage is Adult",
 "MediaType is Image"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005638-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17295713
title: Annotated Thermal Image Dataset for Car-Window and Person Segmentation

description: This dataset, developed under the EU-funded project ODYSSEUS (Grant Agreement ID: 101073910), contains annotated thermal images designed for car, window, and person segmentation tasks. The dataset supports research in computer vision, autonomous surveillance, and thermal scene understanding, and is primarily formatted for YOLO-based object detection and segmentation models.

Each image includes detailed bounding boxes and segmentation masks, enabling accurate model training and evaluation for thermal-based object recognition. The dataset contributes to advancing AI-driven situational awareness and intelligent monitoring systems, as part of ODYSSEUS’s mission to enhance border security and operational efficiency through cutting-edge AI technologies.
DOI: 10.5281/zenodo.17295714
title: Annotated Thermal Image Dataset for Car-Window and Person Segmentation

description: This dataset, developed under the EU-funded project ODYSSEUS (Grant Agreement ID: 101073910), contains annotated thermal images designed for car, window, and person segmentation tasks. The dataset supports research in computer vision, autonomous surveillance, and thermal scene understanding, and is primarily formatted for YOLO-based object detection and segmentation models.

Each image includes detailed bounding boxes and segmentation masks, enabling accurate model training and evaluation for thermal-based object recognition. The dataset contributes to advancing AI-driven situational awareness and intelligent monitoring systems, as part of ODYSSEUS’s mission to enhance border security and operational efficiency through cutting-edge AI technologies.
DOI: 10.17026/ar/kkdtr4
title: ‘s-Hertogenbosch, plangebied Ravelijn aan het Werfpad (BRAV)
title: Inventariserend veldonderzoek d.m.v. proefsleuven

description: &lt;p&gt;In opdracht van de gemeente ‘s-Hertogenbosch heeft BAAC een inventariserend veldonderzoek door middel van proefsleuven uitgevoerd naar het voormalige ravelijn ten noordwesten van de Citadel, te ’s-Hertogenbosch. Het is de bedoeling om, in het kader van de ontwikkeling van het gebied Bossche Stadsdelta, dit ravelijn in de toekomst opnieuw zichtbaar te maken.&lt;/p&gt;&lt;p&gt;

Het plangebied ligt aan de noordwestkant van het historische centrum van ‘s-Hertogenbosch. Het is van oorsprong een laag gelegen gebied, waar de Dommel en Aa samenkomen en verder stromen als Dieze.&lt;/p&gt;&lt;p&gt;

In de periode 1637-1645 werd iets ten zuiden van het plangebied (op de noordwesthoek van de stad) een dwangburcht gebouwd; de Citadel. In 1736-1737 werd een ravelijn aangelegd voor de Citadel; dit ravelijn vormt het plangebied.&lt;br&gt;&lt;p&gt;
Het ravelijn werd na aanname van de Vestingwet van 1874, rond het jaar 1880 van zijn aardwerken ontdaan. De grachten rond het ravelijn werden grotendeels gedempt, maar de noordwestelijke gracht kreeg een bestemming als haven; de Vaalthaven. Een deel van het voormalig ravelijn diende vervolgens als mestvaalt en opslagplaats voor beer. In 1893 werd er een creosoteerbedrijf gevestigd, waar hout met zware chemicaliën werd bewerkt om bederf tegen te gaan. In 1939 werd de huidige, nog bestaande, Diezebrug aangelegd. Bij de aanleg van deze brug werd de
19e en 20e-eeuwse bebouwing op het voormalig ravelijn gesloopt en kwam het terrein deels onder het talud naar de Diezebrug te liggen. In de periode 1939-1960 is het deel van de ravelijnmuur dat nog in gebruik was als kademuur van van de Vaalthaven gesloopt. In 1973 is de Vaalthaven gedempt en kwam hier het Werfpad te liggen. &lt;/p&gt;&lt;p&gt;

Tijdens een proefsleuvenonderzoek in 2022 was al de noordwestelijke schouderhoek van het ravelijn vrijgelegd, met de aanzetten naar de westelijke flank en de noordwestelijke face van het ravelijn. Het onderzoek in 2024 had als
doel het vervolg van de noordwestelijke face zo nauwkeurig mogelijk vast te stellen, zodat in de planvorming van de toekomstige inrichting van het gebied de ligging van het ravelijn zo goed mogelijk bekend is. Hiervoor bleek een enkele locatie in de groenstrook aan het Werfpad geschikt. In de aangelegde put werd onder een pakket stadsvuil uit de jaren 70 van de 20e eeuw, op 2,50 m +NAP (circa 3,30 m -mv) een klein deel van het vervolg van de face aangetroffen, waardoor de in 2022 opgestelde reconstructie van het ravelijn iets nauwkeuriger is geworden.&lt;/p&gt;
description: adobe acrobat document, 9.0
description: CSV-bestand
description: JPEG-afbeelding
description: microsoft office access-toepassing
description: GIS-bestand
description: microsoft excel-werkblad
DOI: 10.15468/dl.vhw9rt
title: Occurrence Download

description: A dataset containing 40459 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silurus glanis"
 ]
}

 The dataset includes 40459 records from 357 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005641-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/cdc.507
title: Chandra X-ray Observatory Chandra Data Collection for request #507

description: Chandra Data Collection for request #507
DOI: 10.15468/dl.tp2ucc
title: Occurrence Download

description: A dataset containing 2407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-122.04344140387346 42.18379110870292, -122.05487946720145 42.1817999183186, -122.0655741816086 42.17818618321722, -122.07511384876486 42.17308911433473, -122.08313152202274 42.16670501332528, -122.08931916000459 42.159279664129286, -122.09343945297587 42.151098819592995, -122.09533486938125 42.14247715911299, -122.09493358616595 42.133746150952554, -122.09225209391258 42.12524129246757, -122.08739440033979 42.11728922185748, -122.08054788753766 42.110195195975855, -122.07197600425287 42.10423141077795, -122.06200809016859 42.09962660542466, -122.05102673093782 42.09655733975063, -122.0394531280909 42.09514127000433, -122.02773103499818 42.09543267204223, -122.01630985763711 42.09742037724788, -122.00562754627505 42.10102819720882, -121.99609391099153 42.10611782151639, -121.98807498014028 42.11249408188613, -121.98187898656124 42.119912388043744, -121.97774451205608 42.128088059381085, -121.97583124718943 42.13670720407327, -121.97621373227835 42.14543873686245, -121.97887833857935 42.153947080522805, -121.98372362910388 42.161905066269306, -121.99056411001415 42.16900653672333, -121.99913725086849 42.17497816256153, -122.00911352053535 42.17959001095641, -122.0201090613032 42.18266444983348, -122.03170051263052 42.184083035370065, -122.04344140387346 42.18379110870292))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 2407 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005643-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/0fbk-0c24
title: Partial pressure (or fugacity) of carbon dioxide, water temperature, salinity and other variables collected from surface underway observations during R/V Sarmiento De Gamboa BOCATS-2 and FICARAM cruises in the Atlantic Ocean in 2021 (NCEI Accession 0254028)

description: This dataset includes surface underway, chemical, meteorological and physical data collected from R/V Sarmiento De Gamboa BOCATS-2 and FICARAM cruises in the Atlantic Ocean from 2021-05-28 to 2021-12-10. These data include measurements sea surface temperature (degrees C), equilibrator chamber temperature (degrees C), water xCO2 dry using equi temp (umol/mol), water pCO2 wet using equi temp (uatm), water fCO2 wet using equi temp (uatm) and actual air xCO2 dry (umol/mol).
DOI: 10.5281/zenodo.17637906
title: Flanschadapter
title: flange adapter

description: CAD-Modell (.STEP) und Finite-Elemente-Netz (Ansys Workbench 2023 R2, Archiv .wbpz) für den Flanschadapter im Beispiel der FKM-Richtlinie Nichtlinear, Ausgabe 2, 2025, Anhang 6.1
DOI: 10.5281/zenodo.17699660
title: Flanschadapter
title: flange adapter

description: CAD-Modell (.STEP) und Finite-Elemente-Netz (Ansys Workbench 2023 R2, Archiv .wbpz) für den Flanschadapter im Beispiel der FKM-Richtlinie Nichtlinear, Ausgabe 2, 2025, Anhang 6.1
DOI: 10.15468/dl.79nkw8
title: Occurrence Download

description: A dataset containing 2931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-121.94088515196285 42.53783363151348, -121.95240069933715 42.53585269579759, -121.96317112855793 42.53224722148004, -121.9727818202145 42.527156101875434, -121.98086309095328 42.520775410433416, -121.98710445334218 42.513350801011114, -121.99126653654926 42.50516799934714, -121.99319021154497 42.496541761546275, -121.9928025815111 42.48780373321993, -121.99011962637964 42.47928968267751, -121.98524542381772 42.47132660208692, -121.97836800168855 42.4642201715733, -121.96975200380052 42.45824306337609, -121.95972846716813 42.45362452771358, -121.94868211151534 42.450541650753706, -121.93703662770295 42.44911261032712, -121.92523851931104 42.449392179303096, -121.91374009955847 42.451369642627924, -121.9029822733825 42.45496920475019, -121.89337774149527 42.46005287243426, -121.88529524948548 42.46642570671843, -121.87904547071798 42.47384324992654, -121.87486905734539 42.48202085208626, -121.87292732003434 42.49064454866931, -121.87329590542247 42.49938308094112, -121.87596173294726 42.507900603871285, -121.88082333246125 42.515869596653026, -121.88769459480153 42.52298347908465, -121.8963118139361 42.52896844444021, -121.90634376693203 42.53359404632026, -121.91740445275347 42.536682122788505, -121.92906799890083 42.53811370443544, -121.94088515196285 42.53783363151348))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 2931 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005647-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.habvhd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Living Specimen)",
 "TaxonKey is Mauremys annamensis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005646-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gwp9f
title: Occurrence Download

description: A dataset containing 23943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-121.83784202493689 42.33428150198936, -121.84931872916371 42.33231323380944, -121.86005611247477 42.32872036560525, -121.86964082843662 42.32364130504962, -121.87770419166627 42.317271661296544, -121.88393639938641 42.30985666323003, -121.88809842633438 42.30168166733254, -121.89003113763879 42.2930611303442, -121.88966128067496 42.284326479814624, -121.88700414457887 42.27581335551886, -121.88216280896228 42.26784871536324, -121.87532403561406 42.26073830059756, -121.86675098335743 42.2547549374422, -121.8567730423343 42.25012811690348, -121.84577318626145 42.247035243428854, -121.83417332701264 42.245594878404845, -121.82241822335746 42.245862228885514, -121.81095854364122 42.247827048099424, -121.80023370989737 42.25141402507151, -121.7906551580022 42.256485649016554, -121.78259063491957 42.26284744293759, -121.7763501200091 42.27025537301635, -121.77217390323115 42.27842515880667, -121.77022327972945 42.28704313675914, -121.77057422909415 42.29577826891364, -121.77321434069462 42.30429484217216, -121.77804312674097 42.31226537355581, -121.78487573600337 42.31938322492956, -121.7934499480889 42.32537443791742, -121.80343619628741 42.33000832644716, -121.81445024219317 42.33310641003304, -121.82606801365846 42.33454933409546, -121.83784202493689 42.33428150198936))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 23943 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005648-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vj9vw
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chilocorus bipustulatus",
 "BasisOfRecord is Specimen",
 "LifeStage is Adult",
 "MediaType is Image"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005649-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/fxv3-g751
title: Partial pressure (or fugacity) of carbon dioxide, water temperature, salinity and other variables collected from surface underway observations during the R/V Sarmiento De Gamboa EUROFLEETS+ SINES cruise in the Atlantic Ocean in 2022 (NCEI Accession 0276511)

description: This dataset includes surface underway, chemical, meteorological and physical data collected from R/V Sarmiento De Gamboa EUROFLEETS+ SINES cruise in the Atlantic Ocean from 2022-09-11 to 2022-09-11. These data include measurements sea surface temperature (degrees C), equilibrator chamber temperature (degrees C), water xCO2 dry using equi temp (umol/mol), water pCO2 wet using equi temp (uatm), water fCO2 wet using equi temp (uatm) and actual air xCO2 dry (umol/mol). The project "Climate change impact on ocean fronts ecosystems: The case of the Iberian Upwelling System (SINES)" was planned to be a proof of concept cruise of multidisciplinary research: integrating satellite data to past sediment records within classical methods in oceanography research and automated underwater vehicles to tackle the characterization of the Iberian Margin Upwelling System. The overall objective of this study is to identify the changes and risks for marine ecosystem services deriving from the potential impact of climate change on upwelling fronts. This research cruise was funded by the Eurofleets+ SEA Programme Call “REGIONAL” in 2019/2020 and was led by Marcos Fontela (IP) from the Centre of Marine Sciences of Algarve (CCMAR, Portugal).
DOI: 10.25921/5fqm-n694
title: Total alkalinity, pH on total scale, dissolved oxygen, water temperature, salinity, nutrients and other measurements collected from discrete samples and profile observations during the R/V Thalassa OVIDE-18 cruise (EXPOCODE 35TH20180611) in the North Atlantic Ocean from 2018-06-11 to 2018-07-14 (NCEI Accession 0281822)

description: This dataset includes discrete sample and profile data collected during the R/V Thalassa OVIDE-18 cruise (EXPOCODE 35TH20180611) in the North Atlantic Ocean from 2018-06-11 to 2018-07-14. These data include total alkalinity, pH on total scale, oxygen, temperature, salinity, nutrients and chlorofluorocarbons. The instruments used to collect these data include alkalinity titrator, CTD, Niskin bottles and spectrophotometer. The International GO-SHIP Global Ocean Carbon and Repeat Hydrography Program carries out a systematic and global re-occupation of select WOCE/JGOFS hydrographic sections to quantify changes in storage and transport of heat, fresh water, carbon dioxide (CO2), and related parameters.