cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3sn9nw
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxycarenus lavaterae",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002966-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e41080207519
title: Gasten in Nederlandse logiesaccommodaties, aantallen gasten en hun overnachtingen naar land van herkomst per provincie en per type
DOI: 10.15468/dl.n2cth2
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxycarenus lavaterae",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 435 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002967-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e41080207580
title: Capaciteit van Nederlandse logiesaccommodaties, aantallen accommodaties en slaapplaatsen per regio en per type
DOI: 10.57934/0b01e410802076aa
title: Motorvoertuigenpark met kenmerken van voertuigen op kentekenniveau.
DOI: 10.57934/0b01e41080207e91
title: Gemeentelijk afval; Hoeveelheden
DOI: 10.57934/0b01e410802086f3
title: Ziekteverzuimpercentage
DOI: 10.15468/dl.karag2
title: Occurrence Download

description: A dataset containing 5926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON ((-6.515837 36.99224, -6.515668 36.99211, -6.515492 36.99198, -6.515307 36.99187, -6.515116 36.99176, -6.514917 36.99166, -6.514713 36.99157, -6.514503 36.99149, -6.514288 36.99141, -6.514068 36.99135, -6.513844 36.9913, -6.513617 36.99125, -6.513388 36.99121, -6.513156 36.99119, -6.512923 36.99117, -6.512689 36.99116, -6.512455 36.99117, -6.512222 36.99118, -6.51199 36.9912, -6.511759 36.99123, -6.511531 36.99127, -6.511305 36.99132, -6.511084 36.99138, -6.510866 36.99145, -6.508233 36.99235, -6.508011 36.99243, -6.507795 36.99252, -6.507585 36.99263, -6.507382 36.99273, -6.507188 36.99285, -6.507001 36.99298, -6.506824 36.99311, -6.506656 36.99326, -6.506497 36.9934, -6.50635 36.99356, -6.506213 36.99372, -6.501863 36.99917, -6.501743 36.99933, -6.501634 36.99949, -6.501535 36.99966, -6.501448 36.99983, -6.501372 37.00001, -6.501307 37.00019, -6.501253 37.00037, -6.501212 37.00055, -6.501182 37.00073, -6.501164 37.00092, -6.501158 37.0011, -6.501165 37.00129, -6.501183 37.00147, -6.501213 37.00166, -6.501254 37.00184, -6.501308 37.00202, -6.501373 37.0022, -6.50145 37.00237, -6.501537 37.00254, -6.501636 37.00271, -6.501746 37.00287, -6.501865 37.00303, -6.501995 37.00319, -6.502135 37.00333, -6.502284 37.00347, -6.502442 37.00361, -6.502609 37.00374, -6.502783 37.00386, -6.502966 37.00398, -6.503155 37.00408, -6.503351 37.00418, -6.503553 37.00427, -6.53147 37.01604, -6.531679 37.01612, -6.531894 37.0162, -6.532113 37.01626, -6.532336 37.01632, -6.532562 37.01636, -6.532791 37.0164, -6.533023 37.01643, -6.533255 37.01644, -6.533489 37.01645, -6.533722 37.01645, -6.533956 37.01644, -6.534188 37.01642, -6.534418 37.01639, -6.534647 37.01635, -6.534872 37.0163, -6.535094 37.01624, -6.535311 37.01617, -6.535524 37.01609, -6.535732 37.01601, -6.535933 37.01591, -6.536129 37.01581, -6.536317 37.0157, -6.536498 37.01558, -6.536671 37.01546, -6.536836 37.01533, -6.536992 37.01519, -6.537138 37.01504, -6.537275 37.01489, -6.537402 37.01473, -6.537518 37.01457, -6.537624 37.01441, -6.537719 37.01423, -6.537802 37.01406, -6.537874 37.01388, -6.537934 37.0137, -6.537983 37.01352, -6.5382 37.01259, -6.538237 37.0124, -6.538262 37.01221, -6.538274 37.01202, -6.538273 37.01183, -6.538259 37.01163, -6.538233 37.01144, -6.538194 37.01126, -6.538142 37.01107, -6.538079 37.01088, -6.538002 37.0107, -6.537914 37.01053, -6.537814 37.01035, -6.537703 37.01018, -6.537581 37.01002, -6.537447 37.00986, -6.537304 37.00971, -6.53715 37.00956, -6.536987 37.00942, -6.515837 36.99224))"
 ]
}

 The dataset includes 5926 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002969-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e41080208797
title: Aantal openstaande, vervulde, ontstane en vervallen vacatures bij bedrijven en overheidsinstellingen, naar economische activiteit en grootteklasse
DOI: 10.57934/0b01e41080208a39
title: Waarde van onroerende zaken (WOZ) JJJJ
DOI: 10.57934/0b01e4108020994c
title: Productie van dierlijke mest per diercategorie per landbouwbedrijf
DOI: 10.5281/zenodo.15669464
title: GZ2 tag collection well-sampled, balanced and random shuffled version.

description: tags_well-sampled.zip 

There are .txt file collection of well-sampled GZ2 galaxy tags, whose file names are the asset ids of gz2 galaxy images. And the determination of well samples follows the procedure describled in Willett et al. 2013.

gz2_sdss_id_tags_well-sampled.csv

The .csv catalog of well-sampled galaxies with column descriptions:



asset_id: a unique identifier assigned to each galaxy in the dataset, directly related to [asset_id].txt (tag file) and [asset_id].jpg (image file) in the gz2 file system.

tags: a set of descriptive morphological tags associated with the galaxy, following the GZ2 question tree to tag these sources, aligned with the txt file.


tags_well-sampled_balanced_shuffled.zip

Since this sample is highly imbalanced, while some morphologies appear much more frequently than others. To mitigate this imbalance and avoid the model biased toward the more frequent labels, we down-sample those overrepresented labels to 2,000 to better align with the occurrence of rarer tags. Such treatment can avoid overfitting and improve generalizability. Moreover, to facilitate the diffusion model’s ability to learn specific visual attributes, we randomly sample and shuffle the tags during training. This approach ensures that the final dataset is balanced, consistent, and diverse, providing an effective foundation for subsequent model training.

Finally, we got this collection of tags in well-sample, balanced and random shuffled version. Each txt file is the corresponding morphogical description of galaxy with the filename as asset id.

gz2_sdss_id_tags_well-sampled_balanced_shuffled.csv

The .csv catalog of well-sampled, balanced and random shuffled galaxies with column descriptions the same as last catalog.

The preprocessed data is used as training dataset of our work -- Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation. These files were generated by our research group and are not copied from external repositories such as GitHub or HuggingFace. If you use the dataset for reproduction or training model, please cite our work. Feel free to contact us if you meet any related questions.
DOI: 10.5281/zenodo.15669465
title: GZ2 tag collection well-sampled, balanced and random shuffled version.

description: tags_well-sampled.zip 

There are .txt file collection of well-sampled GZ2 galaxy tags, whose file names are the asset ids of gz2 galaxy images. And the determination of well samples follows the procedure describled in Willett et al. 2013.

gz2_sdss_id_tags_well-sampled.csv

The .csv catalog of well-sampled galaxies with column descriptions:



asset_id: a unique identifier assigned to each galaxy in the dataset, directly related to [asset_id].txt (tag file) and [asset_id].jpg (image file) in the gz2 file system.

tags: a set of descriptive morphological tags associated with the galaxy, following the GZ2 question tree to tag these sources, aligned with the txt file.


tags_well-sampled_balanced_shuffled.zip

Since this sample is highly imbalanced, while some morphologies appear much more frequently than others. To mitigate this imbalance and avoid the model biased toward the more frequent labels, we down-sample those overrepresented labels to 2,000 to better align with the occurrence of rarer tags. Such treatment can avoid overfitting and improve generalizability. Moreover, to facilitate the diffusion model’s ability to learn specific visual attributes, we randomly sample and shuffle the tags during training. This approach ensures that the final dataset is balanced, consistent, and diverse, providing an effective foundation for subsequent model training.

Finally, we got this collection of tags in well-sample, balanced and random shuffled version. Each txt file is the corresponding morphogical description of galaxy with the filename as asset id.

gz2_sdss_id_tags_well-sampled_balanced_shuffled.csv

The .csv catalog of well-sampled, balanced and random shuffled galaxies with column descriptions the same as last catalog.

The preprocessed data is used as training dataset of our work -- Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation. These files were generated by our research group and are not copied from external repositories such as GitHub or HuggingFace. If you use the dataset for reproduction or training model, please cite our work. Feel free to contact us if you meet any related questions.
DOI: 10.15468/dl.fdegmc
title: Occurrence Download

description: A dataset containing 5255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is AUS.6_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Felis catus, Zyzomys maini, Zyzomys palatalis, Zyzomys pedunculatus)"
 ]
}

 The dataset includes 5255 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002970-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwgabp
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters is less than or equal to 25.0",
 "Country is one of (France, Switzerland, Germany, Austria, Netherlands, Italy, Belgium, Luxembourg)",
 "GadmGid is one of (LUX, DEU, BEL, ITA, FRA, AUT, CHE, NLD)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx lynx",
 "Year 2015-2025"
 ]
}

 The dataset includes 69 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002971-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e4108020c2d2
title: Gegevens over sociale veiligheid, ondervonden criminaliteit en tevredenheid over functioneren politie en gemeente alsmede over preventie.
DOI: 10.15468/dl.yn5xhb
title: Occurrence Download

description: A dataset containing 5033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxycarenus lavaterae",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5033 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002972-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bq634t
title: Occurrence Download

description: A dataset containing 516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxycarenus lavaterae",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 516 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002973-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e4108020d1f4
title: DiagnoseBehandelingenCombinaties in de medisch specialistische somatische zorg.
DOI: 10.57934/0b01e4108020fd87
title: Verweduwende personen die op het moment van verweduwing in het bevolkingsregister van een Nederlandse gemeente stonden ingeschreven per publicatiejaar
DOI: 10.57934/0b01e4108020fde0
title: Personen die van nationaliteit zijn gewijzigd en op het moment van de wijziging van nationaliteit in het bevolkingsregister van een Nederlandse gemeente stonden ingeschreven per publicatiejaar
DOI: 10.15468/dl.7u2xp6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxycarenus lavaterae",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002974-250914085247600/datasets/export for details.
DOI: 10.57934/0b01e41080211806
title: Personen in de Enquete Beroepsbevolking met hun partner
DOI: 10.57934/0b01e41080211969
title: Gasten in Nederlandse logiesaccommodaties, aantallen gasten en hun overnachtingen naar land van herkomst per toeristengebied en per type
DOI: 10.57934/0b01e410802123c6
title: Adresgegevens en xy-coördinaten van apotheken
DOI: 10.57934/0b01e410802125bb
title: Huishoudenskenmerken van in de Gemeentelijke Basisadministratie Persoonsgegevens (GBA) ingeschreven personen
DOI: 10.57934/0b01e4108021261a
title: Migratiekenmerken van personen die in de Gemeentelijke Basisadministratie Persoonsgegevens (GBA) ingeschreven staan, publicatiepopulatie (inclusief nagekomen berichten)
DOI: 10.57934/0b01e410802129f9
title: Bedrijven uit de Polisadministratie met hun economische activiteit en grootteklasse
DOI: 10.57934/0b01e410802132a7
title: Kenmerken en levensloop van woningen en niet-woningen
DOI: 10.57934/0b01e41080213661
title: Arbeidsvolume en beloning van werknemers naar economische activiteit op basis van revisie 2010
DOI: 10.17633/rd.brunel.28652204
title: Small projects data Euroregion SNB, Interreg IV and V

description: This data set encompasses dyadic data of all small projects carried out under the Interreg IV and Interreg V programmes in Euroregion Spree-Neisse-Bober/Sprewa-Nysa-Bobr, as part of the Poland-Brandenburg cooperation programme. The file 'SNB 2007-2020 edgelist weighted final' lists: the lead partner, the project partner, the year of cooperation, the amount of ERDF funding received and the number of projects organised. The file 'SNB attributes final3' lists for each their latitude and longitude and a dichotomous variable indicating whether this is a municipality, a higher-level territorial organisation (i.e. a district or regional authority), or - for all that are coded as 0 on both the variables 'munic' and 'terr' - a non-territorial organisation.
DOI: 10.17633/rd.brunel.28652204.v1
title: Small projects data Euroregion SNB, Interreg IV and V

description: This data set encompasses dyadic data of all small projects carried out under the Interreg IV and Interreg V programmes in Euroregion Spree-Neisse-Bober/Sprewa-Nysa-Bobr, as part of the Poland-Brandenburg cooperation programme. The file 'SNB 2007-2020 edgelist weighted final' lists: the lead partner, the project partner, the year of cooperation, the amount of ERDF funding received and the number of projects organised. The file 'SNB attributes final' lists for each their latitude and longitude and a dichotomous variable indicating whether this is a territorial organisation (i.e. a municipal, district or regional authority), or not.
DOI: 10.17633/rd.brunel.28652204.v2
title: Small projects data Euroregion SNB, Interreg IV and V

description: This data set encompasses dyadic data of all small projects carried out under the Interreg IV and Interreg V programmes in Euroregion Spree-Neisse-Bober/Sprewa-Nysa-Bobr, as part of the Poland-Brandenburg cooperation programme. The file 'SNB 2007-2020 edgelist weighted final' lists: the lead partner, the project partner, the year of cooperation, the amount of ERDF funding received and the number of projects organised. The file 'SNB attributes final3' lists for each their latitude and longitude and a dichotomous variable indicating whether this is a municipality, a higher-level territorial organisation (i.e. a district or regional authority), or - for all that are coded as 0 on both the variables 'munic' and 'terr' - a non-territorial organisation.
DOI: 10.57934/0b01e41080217f6a
title: X- en Y-coördinaten van een verblijfsobject
DOI: 10.57934/0b01e410802181c0
title: Coördinaten van de vierkanten van 100x100 en 500x500 meter waarin een verblijfsobject valt niet gecoördineerd
DOI: 10.57934/0b01e41080218290
title: Numerieke postcode van een verblijfsobject
DOI: 10.21954/ou.rd.30109057
title: Upskill Map Self Reported Instrument

description: <br>Citation:Okada A. (2025). Upskill Map self-reported instrument CCBYSAContact emailale.okada@open.ac.ukDatabase URL:CONNECT: https://ordo.open.ac.uk/projects/CONNECT_-_Inclusive_open_schooling_with_future_oriented_science/125821METEOR: https://ordo.open.ac.uk/projects/METEOR/244817Information:This questionnaire is part of UK METEOR studies and CONNECT projectQuestionnaire designSemi-structured questionnaire including a combination of open-ended and closed-ended questions.Platform used for a coded questionnaire with feedback and open badgeQualtricsMultilanguage supportTargetlanguage (English) toensure that respondents can understand and respond to the questions in theirpreferred language.Questionnaire implementationLogic for sore, feedback and open badge implementedLanguage selectionQualtrics allows respondents to select their preferred language before starting the survey.Data generationThe questionnaire was distributed to the target audience researchersthrough teachers members of METEOR and CONNECT project who agreed to contribute to this researchData storageAs respondents submit their responses, Qualtrics stores the data securely in its database infrastructure. Each response is associated with the respondent's unique identifier and includes the language in which the survey was completed.Data analysisExploratory factorial analysis, descriptive analyses and thematic analysis to support mixed methodsExtra InformationCreator of the Instrument used to generate this database:Okada, A. UPSKILL.MAPThis database refers to CONNECT project:METEOR projecthttps://www.connect-science.net/https://www.meteorhorizon.eu<br>Funder:European Commission No. 872814. and 101178320Questionnaire and database location:https://doi.org/10.21954/ou.rd.30109057<br><br>
DOI: 10.21954/ou.rd.30109057.v1
title: Upskill Map Self Reported Instrument

description: <br>Citation:Okada A. (2025). Upskill Map self-reported instrument CCBYSAContact emailale.okada@open.ac.ukDatabase URL:CONNECT: https://ordo.open.ac.uk/projects/CONNECT_-_Inclusive_open_schooling_with_future_oriented_science/125821METEOR: https://ordo.open.ac.uk/projects/METEOR/244817Information:This questionnaire is part of UK METEOR studies and CONNECT projectQuestionnaire designSemi-structured questionnaire including a combination of open-ended and closed-ended questions.Platform used for a coded questionnaire with feedback and open badgeQualtricsMultilanguage supportTargetlanguage (English) toensure that respondents can understand and respond to the questions in theirpreferred language.Questionnaire implementationLogic for sore, feedback and open badge implementedLanguage selectionQualtrics allows respondents to select their preferred language before starting the survey.Data generationThe questionnaire was distributed to the target audience researchersthrough teachers members of METEOR and CONNECT project who agreed to contribute to this researchData storageAs respondents submit their responses, Qualtrics stores the data securely in its database infrastructure. Each response is associated with the respondent's unique identifier and includes the language in which the survey was completed.Data analysisExploratory factorial analysis, descriptive analyses and thematic analysis to support mixed methodsExtra InformationCreator of the Instrument used to generate this database:Okada, A. UPSKILL.MAPThis database refers to CONNECT project:METEOR projecthttps://www.connect-science.net/https://www.meteorhorizon.eu<br>Funder:European Commission No. 872814. and 101178320Questionnaire and database location:https://doi.org/10.21954/ou.rd.30109057<br><br>
DOI: 10.57934/0b01e41080218296
title: Coördinaten van de vierkanten van 100x100 en 500x500 meter waarin een verblijfsobject valt
DOI: 10.57934/0b01e41080218613
title: Periode en verblijfslocatie van personen die niet zijn ingeschreven in de Gemeentelijke Basisadministratie Persoonsgegevens
DOI: 10.57934/0b01e410802186eb
title: Nationaliteit van personen die niet zijn ingeschreven in de Gemeentelijke Basisadministratie Persoonsgegevens
DOI: 10.17026/ar/daqrns
title: Plangebied Rector Cremersstraat in Smakt, gemeente Venray RAAPrap_4961_SMARE3

description: &lt;p&gt;In opdracht van Bureau Leefomgeving heeft RAAP op 26 januari 2021 een archeologisch proefsleuvenonderzoek uitgevoerd plangebied Rector Cremersstraat in Smakt, gemeente Venray. Het plangebied bestaat uit twee deelgebieden: het hofje in het westen en het trapveldje in het oosten. Het doel van het onderzoek was de archeologische waarde van het terrein vaststellen. Hiertoe was het noodzakelijk inzicht te krijgen in de precieze aard en omvang van de vindplaatsen. In het verlengde daarvan is in kaart gebracht wat de consequenties zijn van de onderzoeksresultaten voor de verdere planvorming in het plangebied. Zijn de archeologische vindplaatsen behoudenswaardig, en, zo ja, kunnen ze behouden blijven of dienen ze te worden opgegraven. Tijdens het onderzoek zijn verspreid over het plangebied drie proefsleuven aangelegd met een totaaloppervlak van 280 m2. Dit komt neer op een dekkingsgraad van 12,3% van het totale plangebied.&lt;/p&gt;&lt;p&gt;Het plangebied ligt in een relatief hooggelegen oude Maasgeul. De bodem bestaat uit oude rivierkleigronden, specifiek poldervaaggronden. In het ?hofje? bestaat de ondergrond uit zware zavel en sterk siltig zand. De top van de natuurlijke bodem bestaat uit humeus, matig siltig zand, met daarin een circa 20 cm dikke bouwvoor. Hierop is een 50-60 cm dik esdek gevormd. In het trapveldje bestaat de ondergrond uit zwak tot sterk siltig zand. In oostelijke richting daalt het natuurlijke reliëf fors en is de ondergrond opgebouwd uit matig tot grofzandige Maassedimenten. De bodem is recent geroerd tot 40-50 cm -mv, waarbij de oostelijke randzone ook nog circa 70 cm is opgehoogd. Verspreid over de proefsleuven zijn verschillende archeologische resten aangetroffen. Het gaat om een losse vondst uit de vroege prehistorie (steentijd) en perceelgreppels uit de nieuwe tijd, die op historische kaarten uit de 19e en 20e eeuw zijn afgebeeld. Dergelijke resten zijn geïnterpreteerd als offsite-fenomenen.&lt;/p&gt;
DOI: 10.57934/0b01e41080218740
title: X- en Y-coördinaten van een verblijfsobject niet gecoördineerd