cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y5d7zv
title: Occurrence Download

description: A dataset containing 50049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heteroradulum deglubens (Berk. & Broome) Spirin & Malysheva, Eilema complana Linnaeus, 1758)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 50049 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239722-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.141537
title: Ostracon hiératique Ifao - ODM 1529_nu_2012_17212

description: Référence : nu_2012_17212<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />
DOI: 10.15468/dl.danrr2
title: Occurrence Download

description: A dataset containing 8390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyanocitta cristata (Linnaeus, 1758)",
 "Year 2011-2018"
 ]
}

 The dataset includes 8390 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0153425-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnym32
title: Occurrence Download

description: A dataset containing 1377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Spain, Switzerland, Belgium, Germany, United Kingdom of Great Britain and Northern Ireland, France, Netherlands)",
 "TaxonKey is Cheilosia caerulescens (Meigen, 1822)"
 ]
}

 The dataset includes 1377 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143953-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.py8hdk
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saurida macrolepis Tanaka, 1917"
 ]
}

 The dataset includes 341 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296986-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bct4mk
title: Occurrence Download

description: A dataset containing 6983 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dissostichus mawsoni Norman, 1937"
 ]
}

 The dataset includes 6983 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011897-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.141538
title: Ostracon hiératique Ifao - ODM 1529_nu_2012_17213

description: Référence : nu_2012_17213<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />
DOI: 10.15468/dl.r8bgt5
title: Occurrence Download

description: A dataset containing 2074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((104.58381 16.54986,125.8813 16.54986,125.8813 48.43226,104.58381 48.43226,104.58381 16.54986))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ciconia boyciana Swinhoe, 1873",
 "Year 2016-2023"
 ]
}

 The dataset includes 2074 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120439-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.141539
title: Ostracon hiératique Ifao - ODM 1529_nu_2012_17214

description: Référence : nu_2012_17214<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />
DOI: 10.15468/dl.5zqyvn
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.78728 -47.87265,71.26978 -47.87265,71.26978 -17.97829,-1.78728 -17.97829,-1.78728 -47.87265))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Robinia pseudoacacia L."
 ]
}

 The dataset includes 201 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181893-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.141540
title: Ostracon hiératique Ifao - ODM 1378_nb_1997_05282

description: Référence : nb_1997_05282<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.15468/dl.shxe39
title: Occurrence Download

description: A dataset containing 175227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Culex pipiens Linnaeus, 1758"
 ]
}

 The dataset includes 175227 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006803-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.141541
title: Ostracon hiératique Ifao - ODM 1529_nu_2012_17215

description: Référence : nu_2012_17215<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.141542
title: Ostracon hiératique Ifao - ODM 1529_nu_2012_17216

description: Référence : nu_2012_17216<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />
DOI: 10.15468/dl.tnwefw
title: Occurrence Download

description: A dataset containing 1924 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria revelata Ingram, Corben & Hosmer, 1982"
 ]
}

 The dataset includes 1924 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296960-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/360d4o/56qmp0
title: poor_students_replication_code.R

description: Code for replicating analyses in the paper and appendix
DOI: 10.7910/dvn/360d4o/epgolc
title: readme.txt

description: Description of code and data files, as well as instructions for accessing data
DOI: 10.1285/i26113775n3p293
title: El papel del patrimonio natural y cultural como motor de desarrollo rural en Andalucía: LEADER 2000-2013
DOI: 10.18434/mds2-3183
title: Data associated with manuscript "Validated UV-C bidirectional reflectance distribution function measurements with a spectrophotometer directional reflectance module"
DOI: 10.24432/c5hk59
title: WISDM Smartphone and Smartwatch Activity and Biometrics Dataset
DOI: 10.25810/cr61-gy20
title: Media and Climate Change Observatory Monthly Summary: This historic decline in emissions is happening for all the wrong reasons - Issue 40, April 2020

description:         April 2020 has marked an inflection point in our time on planet Earth. Amid these moments of history-making, media attention to climate change and global warming at the global level has continued to nose-dive, down again, this time 30% from March 2020 coverage. The decreases in media coverage of climate change in April continue a decline from February 2020 coverage, and an overall plummet of 59% from the January 2020. Furthermore, compared to a year earlier (April 2019), the number of news articles and segments about climate change and global warming is 40% lower. Regionally, climate change news stories in April decreased most in Africa (down 50%), followed by Oceania and Asia (both regions down 36%), then Europe and the Middle East (both down 32%) and Latin America (down 18%), yet North American coverage overall was up 7% from March 2020 (more below).
DOI: 10.5255/ukda-sn-850933
title: Third Sector Research Centre research data collection
DOI: 10.5281/zenodo.11198731
title: CRC24-data

description: Data associated with Cattiaux, Ribes and Cariou (2024), How extreme were daily global temperatures of 2023 and early 2024?, submitted to NCC.
DOI: 10.5281/zenodo.11551195
title: Database - Bridge clogging and debris - July 2021 flood

description: This dataset documents 71 floating debris accumulations at bridges following an extreme hydrological event that hit Belgium and Germany in July 2021. Data were collected from various sources including public authorities’ documents, public online database, post event pictures and field visits. The dataset covers bridge geometry, flood conditions and debris accumulation. In particular, it systematically details deposits dimensions and classifies deposits components, which contain a significant portion of man-made objects, in addition to driftwood. 

The dataset is stored in a single CSV file, with semicolon separator. The file contains 72 lines and 63 columns. First line contains the label of the columns parameters. Each of the 71 following lines contains the data of one bridge and corresponding accumulation. 

A data descriptor is under review in Nature Scientfic Data: Erpicum S., Poppema D., Burghardt L., Benet L., Wüthrich D., Klopries E., Dewals B., (submitted) A dataset of floating debris accumulation at bridges after July 2021 Flood in Germany and Belgium, Nature Scientific Data
DOI: 10.5281/zenodo.13372292
title: Data for manuscript #2024GL109714

description: This dataset is for the manuscript NO.2024GL109714, which includes the Chl distributions, solar absorption, temperature, upwelling and u-ward current in global coasal upwelling regions. This dataset is based on the modelling output of NEMO coupled with the MEDUSA, and used for making the figures in manuscript.

For the original data, please log onto the JASMIN Scientific Analysis servers at /gws/nopw/j04/ukesm/BGC data/ayool/Siyu.

For more details od data processing, please refer to the Methods section in manuscript.
DOI: 10.5281/zenodo.5544257
title: Environmental data associated to particular health events example dataset

description: The data represents and example output for environmental data (i.e. climate and pollution) linked with individual events through <strong>location</strong> and <strong>time</strong>. The linkage is the result of a semantic query that integrates environmental data <strong>within an area relevant to the event</strong> and selects a <strong>period of data before the event</strong>. The resulting event-environmental linked data contains: The data for analysis as a data table (.csv) and graph (.ttl) The metadata describing the linkage process and the data (.csv and .ttl) The interactive report to explore the (meta)data (.html) The graph files are ready to be shared and published as Findable, Accessible, Interoperable and Reusable (FAIR) data, including the necessary information to be reused by other researchers in different contexts.
description: Please cite this DOI in your work if using or referring to this dataset.
DOI: 10.5281/zenodo.8343497
title: Deepurify: a multi-modal deep language model to remove contamination from metagenome-assembled genomes

description: The SIM1 testing set.
DOI: 10.6084/m9.figshare.25879186
title: Subdialy, daily and monthly weather data for the year 1740

description: Subdialy, daily and monthly weather data covering the year 1740. All data are formatted in the Station Exchange Format SEF (https://boris-portal.unibe.ch/bitstream/20.500.12422/112/3/SEF_1.0.0.html).
DOI: 10.7910/dvn/gstyk4/dnkuzo
title: WX17 Reference Report.pdf

description: :unav
DOI: 10.7910/dvn/gstyk4/kvusra
title: WX17 Instrument.pdf

description: :unav
DOI: 10.7910/dvn/gstyk4/qzkfav
title: WX17_data_wtd.tab

description: :unav
DOI: 10.7910/dvn/tddmib/w7vs4a
title: Political Behavior Replication.do

description: Do-file
DOI: 10.7910/dvn/tddmib/yqhhmn
title: CCES Negative PID.tab

description: Dataset
DOI: 10.17632/7gy7pgxfjx.1
title: Images from Meso- and Bathypelagic Surveys in the Gully Marine Protected Area: II: Fish of the 2008 Survey

description: During 2007–10, Canada’s Department of Fisheries and Oceans conducted four midwater-trawl surveys, at meso- and bathypelagic depths, in The Gully – a large submarine canyon incised into the Scotian Shelf, east of Sable Island, the core of which has been within a Marine Protected Area since 2004. The surveys followed a fixed-station, depth-stratified design, with replicate sets both in daylight and at night. Most sampling used International Young Gadoid Pelagic Trawls (IYGPTs) –open nets with 60 m² mouth area– worked on double-oblique profiles. From the 2008 survey, the trawls were fitted with rigid (“aquarium”) codends and successfully took a number of delicate specimens in exceptional condition. Full details of the field methodologies have been presented by Kenchington et al. (2009, 2014). Catches of the abundance- or biomass-dominant fish species have been published by Thompson and Kenchington (2016) and Kenchington et al. (2018, 2020a). The ceratioid anglerfishes have been published by Kenchington et al. (2020b) and DNA barcodes derived from selected specimens by Kenchington et al. (2017). 

Identification of fish specimens is ongoing (in 2022), while damage in the nets means that not all can be identified to species. It is, nevertheless, sure that specimens from in excess of 240 fish species were captured. Many of those have rarely been seen and most had never been photographed in fresh condition. Thus, a variety of camera systems were taken to sea on the surveys and an attempt made to create images of every species captured. The resulting collection has been catalogued and lightly edited (removing duplicates and unfocused or otherwise valueless images), while erring on the side of retaining any image that might prove useful in the future. Almost all of those retained are in their original formats and resolutions, though some copies subsequently edited for publication have been added. Because of file-size limits, the present collection includes only the 281 catalogued images of fish specimens from the 2008 survey, together with a copy of the entire catalogue of fish images. Individual files are uniquely numbered (from F08001 to F08281), with corresponding entries in the catalogue. The latter presents the contents of each image (typically only a species name, though some entries have more details) and such other image-specific details as are available. Not all images can be linked to particular specimens but, for those which can be, catalogue entries include cross-references to the survey-program’s catch database, which provides further details on the specimens concerned.

All images © His Majesty the King in Right of Canada, 2022.

Amongst the named authors, the surveys were led by Trevor Kenchington, who also catalogued the images and, working with Cam Lirette, presented them here. Specimen identifications at sea and most of those ashore were by Daphne Themelis, while Merlin Best and Andrew Cogswell captured the images at sea.
DOI: 10.17632/7h3kpnr4dz.1
title: Images from Meso- and Bathypelagic Surveys in the Gully Marine Protected Area: IV: Fish of the 2010 Survey

description: During 2007–10, Canada’s Department of Fisheries and Oceans conducted four midwater-trawl surveys, at meso- and bathypelagic depths, in The Gully – a large submarine canyon incised into the Scotian Shelf, east of Sable Island, the core of which has been within a Marine Protected Area since 2004. The surveys followed a fixed-station, depth-stratified design, with replicate sets both in daylight and at night. Most sampling used International Young Gadoid Pelagic Trawls (IYGPTs) –open nets with 60 m² mouth area– worked on double-oblique profiles. From the 2008 survey, the trawls were fitted with rigid (“aquarium”) codends and successfully took a number of delicate specimens in exceptional condition. Full details of the field methodologies have been presented by Kenchington et al. (2009, 2014). Catches of the abundance- or biomass-dominant fish species have been published by Thompson and Kenchington (2016) and Kenchington et al. (2018, 2020a). The ceratioid anglerfishes have been published by Kenchington et al. (2020b) and DNA barcodes derived from selected specimens by Kenchington et al. (2017). 

Identification of fish specimens is ongoing (in 2022), while damage in the nets means that not all can be identified to species. It is, nevertheless, sure that specimens from in excess of 240 fish species were captured. Many of those have rarely been seen and most had never been photographed in fresh condition. Thus, a variety of camera systems were taken to sea on the surveys and an attempt made to create images of every species captured. The resulting collection has been catalogued and lightly edited, while erring on the side of retaining any image that might prove useful in the future. Almost all of those retained are in their original formats and resolutions, though some copies subsequently edited for publication have been added. Because of file-size limits, the present collection includes only the 626 catalogued images of fish specimens from the 2010 survey, together with a copy of the entire catalogue of fish images. Individual files are uniquely numbered (from F10001 to F10449, F10650 to F10659 and F10705 to F10872), with corresponding entries in the catalogue. The latter presents the contents of each image (typically only a species name, though some entries have more details) and such other image-specific details as are available. Not all images can be linked to particular specimens but, for those which can be, catalogue entries include cross-references to the survey-program’s catch database, which provides further details on the specimens concerned.

All images © His Majesty the King in Right of Canada, 2022.

Amongst the named authors, the surveys were led by Trevor Kenchington, who also catalogued the images and, working with Cam Lirette, presented them here. Specimen identifications at sea were by April Cook and Shannon DeVaney, while Merlin Best captured most of the images. Others were taken by Elizabeth Shea.
DOI: 10.17632/98t2p3ttcb.1
title: Images from Meso- and Bathypelagic Surveys in the Gully Marine Protected Area: I: Fish of the 2007 Survey

description: During 2007–10, Canada’s Department of Fisheries and Oceans conducted a series of four midwater-trawl surveys, at meso- and bathypelagic depths, in The Gully – a very large submarine canyon incised into the Scotian Shelf, immediately east of Sable Island, the core of which has been encompassed within a Marine Protected Area since 2004. The surveys followed a fixed-station, depth-stratified design, with replicate sets both in daylight and at night. Most sampling used International Young Gadoid Pelagic Trawls (IYGPTs) –open nets with 60 m² mouth area– worked on double-oblique profiles. Full details of the field methodologies have been presented by Kenchington et al. (2009, 2014). Catches of the 20 abundance- or biomass-dominant fish species have been published by Thompson and Kenchington (2016) and Kenchington et al. (2018, 2020a). The ceratioid anglerfishes have been published by Kenchington et al. (2020b) and DNA barcodes derived from selected specimens by Kenchington et al. (2017). 

Identifications of fish specimens taken during the surveys are still ongoing (in 2022), while damage in the nets means that not all can be identified to species. It is, nevertheless, certain that specimens from in excess of 240 fish species were captured. Many of those have rarely been seen and most had never been photographed in fresh condition. Thus, a variety of camera systems were taken to sea on the surveys and an attempt made to create images of every species captured. The resulting collection has been catalogued and lightly edited (removing duplicates and unfocused or otherwise valueless images), while erring on the side of retaining any image that might prove useful in the future. Almost all of those retained are in their original formats and resolutions, though some copies subsequently edited for publication have been added. Because of file-size limits, the present collection includes only the 677 catalogued images of fish specimens from the 2007 survey, together with a copy of the entire catalogue of fish images. Individual files are uniquely numbered (from F07001 to F07677), with corresponding entries in the catalogue. The latter presents the contents of each image (typically only a species name, though some entries have more details) and such other image-specific details as are available. Not all images can be linked to particular specimens but, for those which can be, catalogue entries include cross-references to the survey-program’s catch database, which provides further details on the specimens concerned.

All images © His Majesty the King in Right of Canada, 2022.

Amongst the named authors, the surveys were led by Trevor Kenchington, who also catalogued the images and, working with Cam Lirette, presented them here. Specimen identifications at sea and most of those ashore were by Daphne Themelis, while Bill MacEachern captured most of the images. Other images were taken by Merlin Best, Kevin MacIsaac or Elizabeth Shea.