cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5qrqwj
title: Occurrence Download

description: A dataset containing 23119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arthropoda, Nematoda, Tardigrada, Rotifera, Annelida, Mollusca, Platyhelminthes)",
 "Geometry POLYGON ((-105.759729 40.188366, -105.756734 39.918098, -105.405712 39.919857, -105.407318 40.190142, -105.759729 40.188366))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "CoordinateUncertaintyInMeters" : [
 "is one of (301, 3036, 999, 9999)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 23119 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116029-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbrcup
title: Occurrence Download

description: A dataset containing 1510945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fabaceae"
 ]
}

 The dataset includes 1510945 records from 771 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028873-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9sfpm3
title: Occurrence Download

description: A dataset containing 5981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex simpliciuscula Wahlenb.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5981 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116055-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwtvtx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptobrachella palmata Inger & Stuebing, 1992"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299400-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s49z2g
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calochortus simulans (Hoover) Munz"
 ]
}

 The dataset includes 209 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116035-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v825ew
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sida rhombifolia L."
 ]
}

 The dataset includes 17 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284327-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu3fzw
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mobula munkiana Notarbartolo-di-Sciara, 1987"
 ]
}

 The dataset includes 141 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116038-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttjwe2
title: Occurrence Download

description: A dataset containing 2296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria tornieri (Nieden, 1923)"
 ]
}

 The dataset includes 2296 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299364-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vw7szq
title: Occurrence Download

description: A dataset containing 4008 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calochortus splendens Douglas ex Benth."
 ]
}

 The dataset includes 4008 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116039-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scc9jh
title: Occurrence Download

description: A dataset containing 1715 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dryophytes avivoca (Viosca, 1928)"
 ]
}

 The dataset includes 1715 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307851-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbpuvu
title: Occurrence Download

description: A dataset containing 2483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plumeria rubra L."
 ]
}

 The dataset includes 2483 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116047-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rdn2fu
title: Occurrence Download

description: A dataset containing 372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Koelreuteria paniculata Laxm."
 ]
}

 The dataset includes 372 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0384778-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czxyr4
title: Occurrence Download

description: A dataset containing 862 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calochortus uniflorus Hook. & Arn."
 ]
}

 The dataset includes 862 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116056-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j93ug6
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysobalanus L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 114 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0328540-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fddnq4
title: Occurrence Download

description: A dataset containing 1013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Flora de las playas y dunas costeras de México, Actualización del banco de datos florístico de la Península de Yucatán (BAFLOPY))",
 "OccurrenceStatus is Present",
 "TaxonKey is Ipomoea pes-caprae (L.) R.Br."
 ]
}

 The dataset includes 1013 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116060-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrfk8f
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capra caucasica Güldenstaedt & Pallas, 1783"
 ]
}

 The dataset includes 308 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0428824-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68yxh5
title: Occurrence Download

description: A dataset containing 975046 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NatureServe Network Species Occurrence Data"
 ]
}

 The dataset includes 975046 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116079-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v89f2d
title: Occurrence Download

description: A dataset containing 2672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((72 25,105 25,105 40,72 40,72 25))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gyps fulvus (Hablizl, 1783)"
 ]
}

 The dataset includes 2672 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0423741-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dke2q
title: Occurrence Download

description: A dataset containing 328 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleutherodactylus auriculatus (Cope, 1862)"
 ]
}

 The dataset includes 328 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307864-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acswn7
title: Occurrence Download

description: A dataset containing 40299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delphinium consolida L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 40299 records from 371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116083-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwbhua
title: Occurrence Download

description: A dataset containing 946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raja miraletus Linnaeus, 1758",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 946 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002491-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15229435
title: cayaponia_prunifera_spades_01.fasta.gz
DOI: 10.5281/zenodo.15229436
title: cayaponia_prunifera_spades_01.fasta.gz
DOI: 10.15468/dl.zd4mc5
title: Occurrence Download

description: A dataset containing 12395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-8.04252 35.98051,-1.9962 35.9118,-1.25089 37.67337,-7.32198 38.46566,-8.04252 35.98051))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euplectes afer (Gmelin, 1789)"
 ]
}

 The dataset includes 12395 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061261-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10404916
title: PMDB: a relational database for PubMed

description: The files constitute a compressed dump of PMDB, which was created in PostgreSQL 14 using the pmparser R package. Once you have a Postgres server running, you can set up the database as follows:


1. Untar the file containing the database dump, which will create a folder. Substitute <tar_name> with the name of the tar file.


tar xvf <tar_name> && rm <tar_name>


2. Restore the database onto your Postgres server. Below is one way. Replace <...> as appropriate, substituting <dump_name> with the name of the new folder containing the dump files. This will take some time, so use as many cores as you can spare. Beware the full database is about 136 GB.


createdb -h <host_name> -U <user_name> pmdb
pg_restore -j <num_cores> --no-privileges --no-owner -h <host_name> -U <user_name> -d pmdb <dump_name>


MEDLINE/PubMed data are courtesy of the U.S. National Library of Medicine. See NLM's Terms and Conditions.
DOI: 10.5281/zenodo.4064914
title: PMDB: a relational database for PubMed

description: The tar file contains a compressed dump of PMDB, which was created in PostgreSQL 12 using the pmparser R package. Once you have a Postgres server running, you can set up the database as follows: 1. Untar the file containing the database dump, which will create a folder. Substitute &lt;tar_name&gt; with the name of the tar file. <pre><code class="language-bash">tar xvf &lt;tar_name&gt; && rm &lt;tar_name&gt;</code></pre> 2. Restore the database onto your Postgres server. Below is one way. Replace &lt;...&gt; as appropriate, substituting &lt;dump_name&gt; with the name of the dump folder. This will take some time, so use as many cores as you can spare. Beware the full database is about 113 GiB. <pre><code class="language-bash">createdb -h &lt;host_name&gt; -U &lt;user_name&gt; pmdb pg_restore -j &lt;num_cores&gt; --no-privileges --no-owner -h &lt;host_name&gt; -U &lt;user_name&gt; -d pmdb &lt;dump_name&gt;</code></pre> MEDLINE/PubMed data are courtesy of the U.S. National Library of Medicine. See NLM's Terms and Conditions.
DOI: 10.5281/zenodo.4357471
title: PMDB: a relational database for PubMed

description: The tar file contains a compressed dump of PMDB, which was created in PostgreSQL 12 using the pmparser R package. Once you have a Postgres server running, you can set up the database as follows: 1. Untar the file containing the database dump, which will create a folder. Substitute &lt;tar_name&gt; with the name of the tar file. <pre><code class="language-bash">tar xvf &lt;tar_name&gt; && rm &lt;tar_name&gt;</code></pre> 2. Restore the database onto your Postgres server. Below is one way. Replace &lt;...&gt; as appropriate, substituting &lt;dump_name&gt; with the name of the dump folder. This will take some time, so use as many cores as you can spare. Beware the full database is about 113 GiB. <pre><code class="language-bash">createdb -h &lt;host_name&gt; -U &lt;user_name&gt; pmdb pg_restore -j &lt;num_cores&gt; --no-privileges --no-owner -h &lt;host_name&gt; -U &lt;user_name&gt; -d pmdb &lt;dump_name&gt;</code></pre> MEDLINE/PubMed data are courtesy of the U.S. National Library of Medicine. See NLM's Terms and Conditions.
DOI: 10.5281/zenodo.4895653
title: PMDB: a relational database for PubMed

description: The tar file contains a compressed dump of PMDB, which was created in PostgreSQL 12 using the pmparser R package. Once you have a Postgres server running, you can set up the database as follows: 1. Untar the file containing the database dump, which will create a folder. Substitute &lt;tar_name&gt; with the name of the tar file. <pre><code class="language-bash">tar xvf &lt;tar_name&gt; && rm &lt;tar_name&gt;</code></pre> 2. Restore the database onto your Postgres server. Below is one way. Replace &lt;...&gt; as appropriate, substituting &lt;dump_name&gt; with the name of the dump folder. This will take some time, so use as many cores as you can spare. Beware the full database is about 113 GiB. <pre><code class="language-bash">createdb -h &lt;host_name&gt; -U &lt;user_name&gt; pmdb pg_restore -j &lt;num_cores&gt; --no-privileges --no-owner -h &lt;host_name&gt; -U &lt;user_name&gt; -d pmdb &lt;dump_name&gt;</code></pre> MEDLINE/PubMed data are courtesy of the U.S. National Library of Medicine. See NLM's Terms and Conditions.
DOI: 10.5281/zenodo.6459507
title: PMDB: a relational database for PubMed

description: The files constitute a compressed dump of PMDB, which was created in PostgreSQL 14 using the pmparser R package. Apologies for having to download the files individually, Zenodo's API has become unable to accept one 25 GB file. Once you have a Postgres server running, you can set up the database as follows: 1. Move the downloaded files to a new folder. 2. Restore the database onto your Postgres server. Below is one way. Replace &lt;...&gt; as appropriate, substituting &lt;dump_name&gt; with the name of the new folder containing the dump files. This will take some time, so use as many cores as you can spare. Beware the full database is about 136 GB. <pre><code class="language-bash">createdb -h &lt;host_name&gt; -U &lt;user_name&gt; pmdb pg_restore -j &lt;num_cores&gt; --no-privileges --no-owner -h &lt;host_name&gt; -U &lt;user_name&gt; -d pmdb &lt;dump_name&gt;</code></pre> MEDLINE/PubMed data are courtesy of the U.S. National Library of Medicine. See NLM's Terms and Conditions.
DOI: 10.5281/zenodo.6998345
title: PMDB: a relational database for PubMed

description: The files constitute a compressed dump of PMDB, which was created in PostgreSQL 14 using the pmparser R package. Once you have a Postgres server running, you can set up the database as follows: 1. Untar the file containing the database dump, which will create a folder. Substitute &lt;tar_name&gt; with the name of the tar file. <pre><code class="language-bash">tar xvf &lt;tar_name&gt; && rm &lt;tar_name&gt;</code></pre> 2. Restore the database onto your Postgres server. Below is one way. Replace &lt;...&gt; as appropriate, substituting &lt;dump_name&gt; with the name of the new folder containing the dump files. This will take some time, so use as many cores as you can spare. Beware the full database is about 136 GB. <pre><code class="language-bash">createdb -h &lt;host_name&gt; -U &lt;user_name&gt; pmdb pg_restore -j &lt;num_cores&gt; --no-privileges --no-owner -h &lt;host_name&gt; -U &lt;user_name&gt; -d pmdb &lt;dump_name&gt;</code></pre> MEDLINE/PubMed data are courtesy of the U.S. National Library of Medicine. See NLM's Terms and Conditions.
DOI: 10.5281/zenodo.7093972
title: PMDB: a relational database for PubMed

description: The files constitute a compressed dump of PMDB, which was created in PostgreSQL 14 using the pmparser R package. Once you have a Postgres server running, you can set up the database as follows: 1. Untar the file containing the database dump, which will create a folder. Substitute &lt;tar_name&gt; with the name of the tar file. <pre><code class="language-bash">tar xvf &lt;tar_name&gt; && rm &lt;tar_name&gt;</code></pre> 2. Restore the database onto your Postgres server. Below is one way. Replace &lt;...&gt; as appropriate, substituting &lt;dump_name&gt; with the name of the new folder containing the dump files. This will take some time, so use as many cores as you can spare. Beware the full database is about 136 GB. <pre><code class="language-bash">createdb -h &lt;host_name&gt; -U &lt;user_name&gt; pmdb pg_restore -j &lt;num_cores&gt; --no-privileges --no-owner -h &lt;host_name&gt; -U &lt;user_name&gt; -d pmdb &lt;dump_name&gt;</code></pre> MEDLINE/PubMed data are courtesy of the U.S. National Library of Medicine. See NLM's Terms and Conditions.
DOI: 10.25430/echos.travels.8
title: First travel of Amalia Sola Nizzoli

description: Amalia Sola Nizzoli begins her journey when she was just 13 years old following her parents, who wanted to join her uncle. --- Echos - Sound Ecosystems in Travelogues is a WebApp connected with a relational database collecting literary descriptions, scores and images of musical events produced during travels around the world, from the fourteenth to the nineteenth century. Echos - which means sound in ancient Greek - also includes descriptions of sounds from the natural environment. As the climate changes modified the soundscape of cities and geographical areas, history and politics tailored the human musicality during the centuries. Travel narratives offer precious clues to reconstruct the musical ecosystems of oral and written cultures of the past - now ignored or disappeared - contributing to our knowledge of the human musicality and to the preservation of the world natural and cultural heritage. Echos - Sound Ecosystems in Travelogues is an innovative green database supported by the funding PON Research and Innovation of the Italian government; it aims to map lost musical and sound ecosystems of the world as part of the human heritage.
DOI: 10.5281/zenodo.13760352
title: PMDB: a relational database for PubMed

description: The files constitute a compressed dump of PMDB, which was created in PostgreSQL 14 using the pmparser R package. Once you have a Postgres server running, you can set up the database as follows:


1. Untar the file containing the database dump, which will create a folder. Substitute <tar_name> with the name of the tar file.


tar xvf <tar_name> && rm <tar_name>


2. Restore the database onto your Postgres server. Below is one way. Replace <...> as appropriate, substituting <dump_name> with the name of the new folder containing the dump files. This will take some time, so use as many cores as you can spare. Beware the full database is about 136 GB.


createdb -h <host_name> -U <user_name> pmdb
pg_restore -j <num_cores> --no-privileges --no-owner -h <host_name> -U <user_name> -d pmdb <dump_name>


MEDLINE/PubMed data are courtesy of the U.S. National Library of Medicine. See NLM's Terms and Conditions.
DOI: 10.5281/zenodo.4008110
title: PMDB: a relational database for PubMed

description: The tar file contains a compressed dump of PMDB, which was created in PostgreSQL 12 using the pmparser R package. Once you have a Postgres server running, you can set up the database as follows: 1. Untar the file containing the database dump, which will create a folder. Substitute &lt;tar_name&gt; with the name of the tar file. <pre><code class="language-bash">tar xvf &lt;tar_name&gt; && rm &lt;tar_name&gt;</code></pre> 2. Restore the database onto your Postgres server. Below is one way. Replace &lt;...&gt; as appropriate, substituting &lt;dump_name&gt; with the name of the dump folder. This will take some time, so use as many cores as you can spare. Beware the full database is about 113 GiB. <pre><code class="language-bash">createdb -h &lt;host_name&gt; -U &lt;user_name&gt; pmdb pg_restore -j &lt;num_cores&gt; --no-privileges --no-owner -h &lt;host_name&gt; -U &lt;user_name&gt; -d pmdb &lt;dump_name&gt;</code></pre> MEDLINE/PubMed data are courtesy of the U.S. National Library of Medicine. See NLM's Terms and Conditions.