cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-x3b-ruht
title: Monitor Wetenschappelijk Onderwijs - WO-Monitor 2011

description: &lt;p&gt;Databestand naar aanleiding van een schoolverlatersenquête onder de gediplomeerde uitstroom in het wetenschappelijk onderwijs (meetjaar 2011).&lt;/p&gt;&lt;p&gt;In 1998 is onder auspiciën van de VSNU de WO-Monitor van start gegaan. Aanleiding hiervoor was de behoefte om over landelijke gegevens te beschikken met betrekking tot de arbeidsmarktintrede van afgestudeerden. De afzonderlijke universiteiten zijn verantwoordelijk voor de jaarlijkse dataverzameling en -verwerking, volgens landelijk opgestelde richtlijnen.&lt;/p&gt;&lt;p&gt;De Monitor Wetenschappelijk Onderwijs wordt met ingang van 2009 uitgevoerd door IVA Onderwijs, in opdracht van de VSNU. IVA Onderwijs zorgt in samenwerking met de VSNU voor de landelijke coördinatie van het onderzoek, en verzorgt voor de dertien deelnemende universiteiten ook de uitvoering. De dataverzameling vindt plaats in het najaar in de vorm van een digitale webenquête onder alle afgestudeerden van het daaraan voorafgaande studiejaar. Dat betekent dat de enquête ongeveer één tot anderhalf jaar na afstuderen wordt ingevuld. In de WO-Monitor 2011 zijn 29.361 afgestudeerden benaderd.&lt;/p&gt;&lt;p&gt;Alle opleidingssectoren zijn in de monitor vertegenwoordigd. De standaard vragenlijst, die aan alle afgestudeerden wordt voorgelegd, wordt in overleg met VSNU en de universiteiten vastgesteld. Daarnaast zijn universiteiten vrij om additionele vragen te stellen. De WO-Monitor levert zowel uitkomsten per universiteit, als representatieve landelijke resultaten op.&lt;/p&gt;
DOI: 10.25574/25723
title: Chandra X-ray Observatory ObsId 25723

description: Illuminating a massive node in the Cosmic Web at redshift 3
DOI: 10.1184/r1/29652158
title: COSMO-Bench

description: <b><i>Abstract</i></b>: Recent years have seen a focus on research into distributed optimization algorithms for multi-robot Collaborative Simultaneous Localization and Mapping (C-SLAM). Research in this domain, however, is made difficult by a lack of standard benchmark datasets. Such datasets have been used to great effect in the field of single-robot SLAM, and researchers focused on multi-robot problems would benefit greatly from dedicated benchmark datasets. To address this gap we design and release the Collaborative Open-Source Multi-robot Optimization Benchmark (COSMO-Bench) -- a suite of 24 datasets derived from a state-of-the-art C-SLAM front-end and real-world LiDAR data. For additional details please see our associated publication: https://arxiv.org/abs/2508.16731This entry, hosted through Carnegie Mellon University libraries, serves to host the official dataset release in perpetuity. However, we also support a website that provides a somewhat nicer user interface at cosmobench.com<br><br>NOTE - Shortly after making this data available we were notified of some issues with the groundtruth of the CU-Multi data on which the `kittredge` and `main_campus` datasets are based. This issue has since been resolved and new versions of the affected datasets have been uploaded. If you are one of the handful of people that downloaded these datasets before September 15th 2025, please update to the corrected versions. To verify that you have the correct versions please see instructions in README.md<br><br>
DOI: 10.1184/r1/29652158.v2
title: COSMO-Bench

description: <b><i>Abstract</i></b>: Recent years have seen a focus on research into distributed optimization algorithms for multi-robot Collaborative Simultaneous Localization and Mapping (C-SLAM). Research in this domain, however, is made difficult by a lack of standard benchmark datasets. Such datasets have been used to great effect in the field of single-robot SLAM, and researchers focused on multi-robot problems would benefit greatly from dedicated benchmark datasets. To address this gap we design and release the Collaborative Open-Source Multi-robot Optimization Benchmark (COSMO-Bench) -- a suite of 24 datasets derived from a state-of-the-art C-SLAM front-end and real-world LiDAR dataThis entry, hosted through Carnegie Mellon University libraries, serves to host the official dataset release in perpetuity. However, we also support a website that provides a somewhat nicer user interface at cosmobench.com<br><br>NOTE: Sept 2, 2025 - Shortly after making this data available we were notified of some issues with the groundtruth of the CU-Multi data on which the `kittredge` and `main_campus` datasets are based. While this issue is resolved we have temporarily made these datasets unavailable.<br><br>
DOI: 10.1184/r1/29652158.v3
title: COSMO-Bench

description: <b><i>Abstract</i></b>: Recent years have seen a focus on research into distributed optimization algorithms for multi-robot Collaborative Simultaneous Localization and Mapping (C-SLAM). Research in this domain, however, is made difficult by a lack of standard benchmark datasets. Such datasets have been used to great effect in the field of single-robot SLAM, and researchers focused on multi-robot problems would benefit greatly from dedicated benchmark datasets. To address this gap we design and release the Collaborative Open-Source Multi-robot Optimization Benchmark (COSMO-Bench) -- a suite of 24 datasets derived from a state-of-the-art C-SLAM front-end and real-world LiDAR data. For additional details please see our associated publication: https://arxiv.org/abs/2508.16731This entry, hosted through Carnegie Mellon University libraries, serves to host the official dataset release in perpetuity. However, we also support a website that provides a somewhat nicer user interface at cosmobench.com<br><br>NOTE - Shortly after making this data available we were notified of some issues with the groundtruth of the CU-Multi data on which the `kittredge` and `main_campus` datasets are based. This issue has since been resolved and new versions of the affected datasets have been uploaded. If you are one of the handful of people that downloaded these datasets before September 15th 2025, please update to the corrected versions. To verify that you have the correct versions please see instructions in README.md<br><br>
DOI: 10.25574/27313
title: Chandra X-ray Observatory ObsId 27313

description: Calibration Observations of ACIS-S2 and S3 with Cas A at a Non-Standard Focal Plane Temperature of -105C
DOI: 10.17026/dans-x4k-bxkf
title: Monitor Wetenschappelijk Onderwijs - WO-Monitor 2013

description: &lt;p&gt;Databestand naar aanleiding van een schoolverlatersenquête onder de gediplomeerde uitstroom in het wetenschappelijk onderwijs (meetjaar 2013).&lt;/p&gt;&lt;p&gt;In 1998 is onder auspiciën van de VSNU de WO-Monitor van start gegaan. Aanleiding hiervoor was de behoefte om over landelijke gegevens te beschikken met betrekking tot de arbeidsmarktintrede van afgestudeerden. De afzonderlijke universiteiten zijn verantwoordelijk voor de jaarlijkse dataverzameling en -verwerking, volgens landelijk opgestelde richtlijnen.&lt;/p&gt;&lt;p&gt;De Monitor Wetenschappelijk Onderwijs wordt met ingang van 2009 uitgevoerd door IVA Onderwijs, in opdracht van de VSNU. IVA Onderwijs zorgt in samenwerking met de VSNU voor de landelijke coördinatie van het onderzoek, en verzorgt voor de dertien deelnemende universiteiten ook de uitvoering. De dataverzameling vindt plaats in het najaar in de vorm van een digitale webenquête onder alle afgestudeerden van het daaraan voorafgaande studiejaar. Dat betekent dat de enquête ongeveer één tot anderhalf jaar na afstuderen wordt ingevuld. In de WO-Monitor 2013 zijn 37.676 afgestudeerden benaderd.&lt;/p&gt;&lt;p&gt;Alle opleidingssectoren zijn in de monitor vertegenwoordigd. De standaard vragenlijst, die aan alle afgestudeerden wordt voorgelegd, wordt in overleg met VSNU en de universiteiten vastgesteld. Daarnaast zijn universiteiten vrij om additionele vragen te stellen. De WO-Monitor levert zowel uitkomsten per universiteit, als representatieve landelijke resultaten op.&lt;/p&gt;
DOI: 10.17026/dans-zt3-j57e
title: Monitor Wetenschappelijk Onderwijs - WO-Monitor 2009

description: &lt;p&gt;Databestand naar aanleiding van een schoolverlatersenquête onder de gediplomeerde uitstroom in het wetenschappelijk onderwijs (meetjaar 2009).&lt;/p&gt;&lt;p&gt;In 1998 is onder auspiciën van de VSNU de WO-Monitor van start gegaan. Aanleiding hiervoor was de behoefte om over landelijke gegevens te beschikken met betrekking tot de arbeidsmarktintrede van afgestudeerden. De afzonderlijke universiteiten zijn verantwoordelijk voor de jaarlijkse dataverzameling en -verwerking, volgens landelijk opgestelde richtlijnen.&lt;/p&gt;&lt;p&gt;De Monitor Wetenschappelijk Onderwijs wordt met ingang van 2009 uitgevoerd door IVA Onderwijs, in opdracht van de VSNU. IVA Onderwijs zorgt in samenwerking met de VSNU voor de landelijke coördinatie van het onderzoek, en verzorgt voor de dertien deelnemende universiteiten ook de uitvoering. De dataverzameling vindt plaats in het najaar in de vorm van een digitale webenquête onder alle afgestudeerden van het daaraan voorafgaande studiejaar. Dat betekent dat de enquête ongeveer één tot anderhalf jaar na afstuderen wordt ingevuld. In de WO-Monitor 2009 zijn ruim 28.000 afgestudeerden benaderd.&lt;/p&gt;&lt;p&gt;Alle opleidingssectoren zijn in de monitor vertegenwoordigd. De standaard vragenlijst, die aan alle afgestudeerden wordt voorgelegd, wordt in overleg met VSNU en de universiteiten vastgesteld. Daarnaast zijn universiteiten vrij om additionele vragen te stellen. De WO-Monitor levert zowel uitkomsten per universiteit, als representatieve landelijke resultaten op.&lt;/p&gt;
DOI: 10.15468/dl.n7bqbg
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ephestia elutella",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 271 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003787-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-x7r-zntz
title: Monitor Wetenschappelijk Onderwijs - WO-Monitor 2006
title: Annual survey of university graduates 2002 - WO-Monitor 2006

description: &lt;p&gt;Survey of the destinations of university graduates, graduates from teacher training courses of universitites included. Educational career / working experience / further education courses / occupational status / occupational career / details about present job / transition from education to employment / evaluation of r.'s education / further training and contact with university / knowledge, skills, and attitudes of respondent / background variables of respondent. See also the ROA website&lt;/p&gt;
DOI: 10.5281/zenodo.17121882
title: ECMWF/ENS - 2024 - Great Britain

description: The Dataset ECMWF-ENS is licenced under Creative Commons Attribution 4.0 International (CC BY 4.0) and is subject to ECMWF terms of use. It contains the numerical weather operational forecasts related to the ensemble model ENS  provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The data was downloaded from the TIGGE archive using the ECMWF Web API.

 

The dataset contains operational forecasts for the base times of 00 UCT 2024 from T+0 to T+360h in 6h steps. Each file is related to a base time date and is organized in folders according to the base time year. The files are in NetCDF format and are named according to the tigge-GB_<base time date in yyyymmddHH>.nc pattern.

 

The files comprise the latitudes from 50º to 59.5º and the longitudes from -8º to 3.5º. They contain the following single-level variables: total column water,



mean sea level pressure, U wind 10m, V wind 10m, 2m temperature and dewpoint, soil moisture, snow fall and snow depth (water equiv), total precipitation, surface net short-wave (solar) radiation, total cloud cover.
DOI: 10.5281/zenodo.17121883
title: ECMWF/ENS - 2024 - Great Britain

description: The Dataset ECMWF-ENS is licenced under Creative Commons Attribution 4.0 International (CC BY 4.0) and is subject to ECMWF terms of use. It contains the numerical weather operational forecasts related to the ensemble model ENS  provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The data was downloaded from the TIGGE archive using the ECMWF Web API.

 

The dataset contains operational forecasts for the base times of 00 UCT 2024 from T+0 to T+360h in 6h steps. Each file is related to a base time date and is organized in folders according to the base time year. The files are in NetCDF format and are named according to the tigge-GB_<base time date in yyyymmddHH>.nc pattern.

 

The files comprise the latitudes from 50º to 59.5º and the longitudes from -8º to 3.5º. They contain the following single-level variables: total column water,



mean sea level pressure, U wind 10m, V wind 10m, 2m temperature and dewpoint, soil moisture, snow fall and snow depth (water equiv), total precipitation, surface net short-wave (solar) radiation, total cloud cover.
DOI: 10.15468/dl.jcu635
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ephestia elutella",
 "Country is Cyprus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003789-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bj7hnc
title: Occurrence Download

description: A dataset containing 128945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ameiva ameiva, Ameivula confusioniba, Ameivula ocellifera, Ameivula xacriaba, Anolis meridionalis, Anolis brasiliensis, Brasiliscincus caissara, Brasiliscincus heathi, Calyptommatus confusionibus, Coleodactylus brachystoma, Coleodactylus meridionalis, Colobosaura modesta, Colobosauroides cearensis, Copeoglossum arajara, Copeoglossum nigropunctatum, Enyalius bibronii, Glaucomastix venetacauda, Gonatodes humeralis, Gymnodactylus amarali, Gymnodactylus geckoides, Hemidactylus agrius, Hemidactylus brasilianus, Hemidactylus mabouia, Hoplocercus spinosus, Iguana iguana, Kentropyx calcarata, Lygodactylus klugei, Micrablepharus maximiliani, Nothobachia ablephara, Notomabuya frenata, Phyllopezus pollicaris, Polychrus acutirostris, Procellosaurinus erythrocercus, Salvator merianae, Stenocercus squarrosus, Tropidurus helenae, Tropidurus hispidus, Tropidurus jaguaribanus, Tropidurus oreadicus, Tropidurus semitaeniatus, Tupinambis quadrilineatus, Tupinambis teguixin, Vanzosaura multiscutata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 128945 records from 556 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003764-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8d94zn
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Periplaneta brunnea Burmeister, 1838"
 ]
}

 The dataset includes 203 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273303-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vv7km5
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stapfochloa lamproparia (Stapf) H.Scholz"
 ]
}

 The dataset includes 212 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136244-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zya4dn
title: Occurrence Download

description: A dataset containing 1192 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((-169.10156 70.14036,-168.39844 67.06743,-169.10156 59.17593,-173.32031 54.16243,-123.39844 17.97873,-77.69531 -28.92163,-87.77481 -60.35224,-36.68894 -56.97397,-37.61778 -39.24118,-30.1871 -17.37524,-37.61778 18.25951,-49.69262 45.41349,-36.91406 51.61802,-33.05072 65.16474,-9.87229 71.19014,-2.46094 83.59903,-66.44531 84.40594,-127.61719 81.09321,-149.41406 75.84517,-169.10156 70.14036))",
 "HasGeospatialIssue is false",
 "TaxonKey is Abies religiosa (Kunth) Schltdl. & Cham.",
 "Year 1960-2021"
 ]
}

 The dataset includes 1192 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0366897-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7kaha
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chloris pumilio R.Br."
 ]
}

 The dataset includes 358 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136259-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9erftd
title: Occurrence Download

description: A dataset containing 14414 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 "Locality is one of (hawaii)"
 ]
}

 The dataset includes 14414 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276800-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edpkzu
title: Occurrence Download

description: A dataset containing 2708 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chloris verticillata Nutt."
 ]
}

 The dataset includes 2708 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136278-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cw7vd8
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Celestus duquesneyi Grant, 1940"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276811-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nngt3e
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.15_1, CHN.31_1, CHN.1_1, CHN.24_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Berchemia huana var. glabrescens C.Y.Cheng ex Y.L.Chen"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023128-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gc633k
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Glaucidium sanchezi Lowery & R.J.Newman, 1949"
 ]
}

 The dataset includes 494 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273304-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xk4c2z
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chlorophytum bowkeri Baker"
 ]
}

 The dataset includes 86 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136342-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqqn4w
title: Occurrence Download

description: A dataset containing 277654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astragalus mahoschanicus Hand.-Mazz., Veronica vandellioides Maxim., Saxifraga gemmigera Engl., Chelonopsis souliei (Bonati) Merr., Pedicularis croizatiana H.L.Li, Valeriana officinalis L., Gentiana altorum Harry Sm., 1937)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 277654 records from 1127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136408-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqm8p7
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monopeltis infuscata Broadley, 1997"
 ]
}

 The dataset includes 36 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276816-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.peeb78
title: Occurrence Download

description: A dataset containing 22536 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lama glama (Linnaeus, 1758)"
 ]
}

 The dataset includes 22536 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136441-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mh3qj
title: Occurrence Download

description: A dataset containing 1846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ammi visnaga (L.) Lam.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1846 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218393-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.