cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6542766
title: PiOCHE

description: For about two years the persons named above have been working on a project, in which we developed a Linked Open Data model fit to express the essentials of historical events as described by some source. The reason we did this was that we felt that the efforts of cultural heritage institutions were directed almost exclusively towards the disclosure and accessibility of their collections, but much less so towards telling the story being conveyed by any document or other piece of material evidence of the past. While, of course, there should always be a link between a digital statement about a situation in times past and the materials on which such a statement would be based, it would be the world upside down if the focus were to lie exclusively on the materials and not on the interpretations they may support. Representing historical events as open data published on the internet as an endeavour cannot be founded on a single effort, it is due to take time. However, we feel that this is not a reason not to embark on such a project. Instead of developing theoretical models of what historical events exactly are and how they should universally be modelled, we approached the problem from the other side: transposing historical events as presented in a historical work into Linked Open Data, and see what kind of complexities we would encounter. In doing so, we adopted an event model best suited to our requirements and tried to use it in order to express the various layers of any event. As our principal source we selected the 19th-century Dutch Geographical Dictionary (13 volumes, 1839-1851) by A.J. van der Aa (https://en.wikipedia.org/wiki/Abraham_Jacob_van_der_Aa). This work abundantly supplied us with cases in which we had to deal with temporal perspectives (did this 19th-century author when talking about a particular place mean the same things as we do now), conflicting interpretations and so on. We named our project PiOCHE: Persons in Objectified Complex Historical Events. As an acronym, it stands for chopping our way through unruly materials that are about, or salvaged from, history.
description: dataset: https://data.pldn.nl/DBpediaAssociation-NL/PiOCHE.<br> SPARQL: hhttps://data.pldn.nl/DBpediaAssociation-NL/PiOCHE/sparql/PiOCHE-SPARQL.<br> Elasticsearch: https://data.pldn.nl/DBpediaAssociation-NL/PiOCHE/elasticsearch/PiOCHE-ElasticSearch/text<br> Queries: https://data.pldn.nl/DBpediaAssociation-NL/-/queries<br>
DOI: 10.5281/zenodo.6641871
title: PiOCHE

description: For about two years the persons named above have been working on a project, in which we developed a Linked Open Data model fit to express the essentials of historical events as described by some source. The reason we did this was that we felt that the efforts of cultural heritage institutions were directed almost exclusively towards the disclosure and accessibility of their collections, but much less so towards telling the story being conveyed by any document or other piece of material evidence of the past.


While, of course, there should always be a link between a digital statement about a situation in times past and the materials on which such a statement would be based, it would be the world upside down if the focus were to lie exclusively on the materials and not on the interpretations they may support.


Representing historical events as open data published on the internet as an endeavour cannot be founded on a single effort, it is due to take time. However, we feel that this is not a reason not to embark on such a project. Instead of developing theoretical models of what historical events exactly are and how they should universally be modelled, we approached the problem from the other side: transposing historical events as presented in a historical work into Linked Open Data, and see what kind of complexities we would encounter. In doing so, we adopted an event model best suited to our requirements and tried to use it in order to express the various layers of any event. As our principal source we selected the 19th-century Dutch Geographical Dictionary (13 volumes, 1839-1851) by A.J. van der Aa (https://en.wikipedia.org/wiki/Abraham_Jacob_van_der_Aa). This work abundantly supplied us with cases in which we had to deal with temporal perspectives (did this 19th-century author when talking about a particular place mean the same things as we do now), conflicting interpretations and so on.


We named our project PiOCHE: Persons in Objectified Complex Historical Events. As an acronym, it stands for chopping our way through unruly materials that are about, or salvaged from, history.
description: dataset: https://data.pldn.nl/DBpediaAssociation-NL/PiOCHE.
SPARQL: hhttps://data.pldn.nl/DBpediaAssociation-NL/PiOCHE/sparql/PiOCHE-SPARQL.
Elasticsearch: https://data.pldn.nl/DBpediaAssociation-NL/PiOCHE/elasticsearch/PiOCHE-ElasticSearch/text
Queries: https://data.pldn.nl/DBpediaAssociation-NL/-/queries
DOI: 10.5281/zenodo.6641891
title: PiOCHE

description: For about two years the persons named above have been working on a project, in which we developed a Linked Open Data model fit to express the essentials of historical events as described by some source. The reason we did this was that we felt that the efforts of cultural heritage institutions were directed almost exclusively towards the disclosure and accessibility of their collections, but much less so towards telling the story being conveyed by any document or other piece of material evidence of the past.


While, of course, there should always be a link between a digital statement about a situation in times past and the materials on which such a statement would be based, it would be the world upside down if the focus were to lie exclusively on the materials and not on the interpretations they may support.


Representing historical events as open data published on the internet as an endeavour cannot be founded on a single effort, it is due to take time. However, we feel that this is not a reason not to embark on such a project. Instead of developing theoretical models of what historical events exactly are and how they should universally be modelled, we approached the problem from the other side: transposing historical events as presented in a historical work into Linked Open Data, and see what kind of complexities we would encounter. In doing so, we adopted an event model best suited to our requirements and tried to use it in order to express the various layers of any event. As our principal source we selected the 19th-century Dutch Geographical Dictionary (13 volumes, 1839-1851) by A.J. van der Aa (https://en.wikipedia.org/wiki/Abraham_Jacob_van_der_Aa). This work abundantly supplied us with cases in which we had to deal with temporal perspectives (did this 19th-century author when talking about a particular place mean the same things as we do now), conflicting interpretations and so on.


We named our project PiOCHE: Persons in Objectified Complex Historical Events. As an acronym, it stands for chopping our way through unruly materials that are about, or salvaged from, history.


http://doi.org/10.5334/johd.84 - article in Journal of Open Humanities Data (02 Sep 2022)
description: Dataset: https://data.pldn.nl/DBpediaAssociation-NL/PiOCHE.
SPARQL: hhttps://data.pldn.nl/DBpediaAssociation-NL/PiOCHE/sparql/PiOCHE-SPARQL.
Elasticsearch: https://data.pldn.nl/DBpediaAssociation-NL/PiOCHE/elasticsearch/PiOCHE-ElasticSearch/text
Queries: https://data.pldn.nl/DBpediaAssociation-NL/-/queries
Article: http://doi.org/10.5334/johd.84
DOI: 10.15468/dl.82x7t3
title: Occurrence Download

description: A dataset containing 351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.69946 50.77302,5.23187 50.77302,5.23187 51.08677,4.69946 51.08677,4.69946 50.77302))",
 "HasGeospatialIssue is false",
 "TaxonKey is Eriophorum angustifolium Honck."
 ]
}

 The dataset includes 351 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001458-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17866/rd.salford.25737192
title: 13/12/2023 - Loreto College (National College Podcast)

description: Delivery:x1 3 hour student-led podcast on the theme of 'Reading for Pleasure'.8 students; 2 teachers.Data:Student FeedbackTeacher Questionnaire
DOI: 10.17866/rd.salford.25737192.v1
title: 13/12/2023 - Loreto College (National College Podcast)

description: Delivery:x1 3 hour student-led podcast on the theme of 'Reading for Pleasure'.8 students; 2 teachers.Data:Student FeedbackTeacher Questionnaire
DOI: 10.15468/dl.cysshz
title: Occurrence Download

description: A dataset containing 33466716 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 33466716 records from 4651 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001451-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17267402
title: All supporting data related to the study on the 3D-Printed Ankle-Foot Orthosis (AFO) with Optimized Design and Durability for Children with Spastic Cerebral Palsy.

description: This dataset contains all supporting data related to the study “3D-Printed Ankle-Foot Orthosis (AFO) with Optimized Design and Durability for Children with Spastic Cerebral Palsy.”
DOI: 10.5281/zenodo.17267403
title: All supporting data related to the study on the 3D-Printed Ankle-Foot Orthosis (AFO) with Optimized Design and Durability for Children with Spastic Cerebral Palsy.

description: This dataset contains all supporting data related to the study “3D-Printed Ankle-Foot Orthosis (AFO) with Optimized Design and Durability for Children with Spastic Cerebral Palsy.”
DOI: 10.15468/dl.s97k44
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Borderea chouardii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 87 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046981-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/8gr2-h865-s10q
title: DYNAMO: Indonesia Site - Padang Radiosonde L3.1 Data. Version 1.0

description: This data set includes 421 high vertical resolution soundings from Padang, Indonesia (WMO 96163) collected during the DYNAMO field campaign for 2011-12. Soundings were typically released twice daily at 00 and 12 UTC during October and November 2011 and January through March 2012 and four times daily at 00, 06, 12, and 18 UTC during December 2011. The station utilized Meisei RS-06G radiosondes. These soundings were provided by JAMSTEC. This L3.1 version of the data set was released 20 May 2014. It includes the L3.0 corrections (application of PDF matching and correction for the relative humidity discontinuity at the 0C level) as well a correction for reducing the temperature discontinuity at around 300 hPa. These adjustments were applied by JAMSTEC.
DOI: 10.15468/dl.bn6373
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvia nutans",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046982-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6jna9
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046983-250920141307145/datasets/export for details.
DOI: 10.15468/dl.3xhpk3
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvia nutans",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046984-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysmf44
title: Occurrence Download

description: A dataset containing 403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cetacea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 30,120 30,120 60,90 60,90 30))"
 ]
}

 The dataset includes 403 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046985-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfh9rw
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sagehen Creek Field Station (UC-Berkeley) - Mammals"
 ]
}

 The dataset includes 223 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046987-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97njf3
title: Occurrence Download

description: A dataset containing 2097 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cetacea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 30,150 30,150 60,120 60,120 30))"
 ]
}

 The dataset includes 2097 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046986-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/hr0s-deqy-ya0d
title: DYNAMO: Indonesia Site - Palu Radiosonde L3.1 Data. Version 1.0

description: This data set includes 365 high vertical resolution soundings from Palu, Indonesia (WMO 97072) collected during the DYNAMO field campaign for 2011-12. Soundings were typically released twice daily at 00 and 12 UTC from 30 September 2011 to 31 March 2012. The station utilized Meisei RS-06G radiosondes. These soundings were provided by JAMSTEC. This L3.1 version of the data set was released 20 May 2014. It includes the L3.0 corrections (application of PDF matching and correction for the relative humidity discontinuity at the 0C level) as well as a correction for reducing the temperature discontinuity at around 300 hPa. These adjustments were applied by JAMSTEC.
DOI: 10.15468/dl.66r5hk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orobanche caryophyllacea",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046988-250920141307145/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/13262845
title: Market Prices of Commodities in South Tangerang
DOI: 10.15468/dl.6t3x2j
title: Occurrence Download

description: A dataset containing 3823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cetacea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 30,180 30,180 60,150 60,150 30))"
 ]
}

 The dataset includes 3823 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046989-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8gu3n
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Globularia bisnagarica",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046992-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/9fq5-fjqg-yj01
title: DYNAMO: Indonesia Site - Pangkal Pinang Radiosonde L3.1 Data. Version 1.0

description: This data set includes 297 high vertical resolution soundings from Pangkal Pinang, Indonesia (WMO 96237) collected during the DYNAMO field campaign for 2011-12. Soundings were typically released twice daily at 00 and 12 UTC from 5 October 2011 to 31 March 2012. The station utilized Meisei RS-06G radiosondes. These soundings were provided by JAMSTEC. This L3.1 version of the data set was released 20 May 2014. It includes the L3.0 corrections (application of PDF matching and correction for the relative humidity discontinuity at the 0C level) as well as a correction for reducing the temperature discontinuity at around 300 hPa. These adjustments were applied by JAMSTEC.
DOI: 10.34740/kaggle/dsv/13262856
title: Booru.org Top Leaderboard
DOI: 10.15468/dl.ev5p57
title: Occurrence Download

description: A dataset containing 1895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cetacea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 0,-120 0,-120 30,-150 30,-150 0))"
 ]
}

 The dataset includes 1895 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046993-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6458a
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantago maxima",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046994-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/q90f-wrs9-nb09
title: DYNAMO: Indonesia Site - Surabaya Radiosonde L3.1 Data. Version 1.0

description: This data set includes 365 high vertical resolution soundings from Surabaya, Indonesia (WMO 96935) collected during the DYNAMO field campaign for 2011-12. Soundings were typically released twice daily at 00 and 12 UTC from 30 September to 31 March 2012. The station utilized Meisei RS-06G radiosondes. These soundings were provided by JAMSTEC. This L3.1 version of the data set was released 20 May 2014. It includes the L3.0 corrections (application of PDF matching and correction for the relative humidity discontinuity at the 0C level) as well as a correction for reducing the temperature discontinuity at around 300 hPa. These adjustments were applied by JAMSTEC.
DOI: 10.15468/dl.hmqk2q
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus suaveolens",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046997-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hce9t
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046999-250920141307145/datasets/export for details.
DOI: 10.15468/dl.krn3gx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus suaveolens",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046998-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/mff6-wnnb-dv02
title: DYNAMO: NOAA P-3 Cloud Microphysics 1-Hz Data. Version 1.0

description: This data set contains time series of cloud drop number concentration from flights of the NOAA P-3 N43RF during DYNAMO operations over the Indian Ocean from 11 November to 8 December 2011. Measurements were taken by a Droplet Measurement Technologies (DMT) Cloud Imaging Probe (CIP) and a DMT Precipitation Imaging Probe (PIP). The data are in netCDF format and were provided by Patrick Chuang and Mikael Witte of the University of California Santa Cruz.
DOI: 10.15468/dl.wy3n4k
title: Occurrence Download

description: A dataset containing 368443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cetacea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 30,30 30,30 60,0 60,0 30))"
 ]
}

 The dataset includes 368443 records from 237 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046975-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcwx6j
title: Occurrence Download

description: A dataset containing 40198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "GadmGid is IDN.23_1",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 40198 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046996-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.