cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ptz24h
title: Occurrence Download

description: A dataset containing 3023 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tapirus terrestris (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3023 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094020-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-106867
title: Poinsettias, California, 1937

description: 11 photographs of poinsettia plants individually and as a crop, and being potted and loaded onto a truck, Los Angeles County, 1937 December.
DOI: 10.15468/dl.lxq3vs
title: Occurrence Download

description: A dataset containing 94407316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 94407316 records from 1642 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094023-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cms97
title: Occurrence Download

description: A dataset containing 131810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Datura stramonium L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 131810 records from 1299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108406-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4harr6
title: Occurrence Download

description: A dataset containing 1306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Colombia, Ecuador, Peru)",
 "TaxonKey is Ambrosia L."
 ]
}

 The dataset includes 1306 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108425-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7v49gv
title: Occurrence Download

description: A dataset containing 20282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Datura wrightii Regel)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20282 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108426-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5825s2
title: Occurrence Download

description: A dataset containing 15745 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalacrocorax carbo sinensis (Blumenbach, 1798)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 15745 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108427-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bbhtc
title: Occurrence Download

description: A dataset containing 11928863 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 11928863 records from 2249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108411-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2f4m5d
title: CCDC 2238763: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yi Liu, Qiu-Ying Lin, Han Fang, Xing-Wang Li, Shu-Ming Zhang, Mei-Hui Yu, Ze Chang|2023|Inorg.Chem.|62|6751|doi:10.1021/acs.inorgchem.3c00449
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7077519
title: UAV-acquired orthomosaics of Loviisa shoreline outcrops

description: This dataset contains photogrammetrically generated orthomosaics of shoreline outcrops at Loviisa, South-East Finland. We used a drone to photograph the outcrops from a flight altitude of 20 m. We processed the photographs into the<br> orthomosaics using Agisoft Photoscan software. We used up to 10 ground control<br> points to accurately georeference the orthomosaics. The resulting orthomosaics<br> have a ground sampling distance of 0.55 cm / pixel. Coordinate system ETRS:3067, ETRS-TM35FIN and the filetype is GeoTIFF. The photos were taken and processed as part of a Geological Survey of<br> Finland project, KYT KARIKKO, with funding from Finnish National Nuclear Waste<br> Management Fund (KYT) during the summer of 2019.
DOI: 10.5281/zenodo.7688530
title: UAV-acquired orthomosaics of Loviisa shoreline outcrops

description: This dataset contains photogrammetrically generated orthomosaics of shoreline outcrops at Loviisa, South-East Finland. We used a drone to photograph the outcrops from a flight altitude of 20 m. We processed the photographs into the<br> orthomosaics using Agisoft Photoscan software. We used up to 10 ground control<br> points to accurately georeference the orthomosaics. The resulting orthomosaics<br> have a ground sampling distance of 0.55 cm / pixel. Coordinate system ETRS:3067, ETRS-TM35FIN and the data is provided as GeoTIFF (.tif) and png files (pngs added 1.3.2023). Note that the KL2 tif original has been split into two png files (KL2_1 and KL2_2). The photos were taken and processed as part of a Geological Survey of<br> Finland project, KYT KARIKKO, with funding from Finnish National Nuclear Waste<br> Management Fund (KYT) during the summer of 2019.
DOI: 10.5281/zenodo.7974402
title: UAV-acquired orthomosaics of Loviisa shoreline outcrops

description: This dataset contains photogrammetrically generated orthomosaics of shoreline outcrops at Loviisa, South-East Finland. We used a drone to photograph the outcrops from a flight altitude of 20 m. We processed the photographs into the<br> orthomosaics using Agisoft Photoscan software. We used up to 10 ground control<br> points to accurately georeference the orthomosaics. The resulting orthomosaics<br> have a ground sampling distance of 0.55 cm / pixel. Coordinate system ETRS:3067, ETRS-TM35FIN and the data is provided as GeoTIFF (.tif) and png files (pngs added 1.3.2023). Note that the KL2 tif original has been split into two png files (KL2_1 and KL2_2). The photos were taken and processed as part of a Geological Survey of<br> Finland project, KYT KARIKKO, with funding from Finnish National Nuclear Waste<br> Management Fund (KYT) during the summer of 2019. Changelog: pngs changed to 8-bit 26.5.2023 pngs added 1.3.2023
DOI: 10.5281/zenodo.7927611
title: Line Segment in Document Images Datasets

description: Those datasets are related to the accepted article to ICDAR 2023: "Linear Object Detection in Document Images<br> using Multiple Object Tracking" by Bernet et al. The official github repository is : https://github.com/EPITAResearchLab/bernet.23.icdar .png ground truth are labelled images where white pixels correspond to the background. .csv ground truth are using the following format:<br> ```<br> x,y,w,h # First line is the size of the interest area in the image<br> x1,y1,x2,y2 # Following lines are the coordinates of the extremities of the line<br> ...<br> xn,yn,xn+1,yn+1<br> ```
DOI: 10.5281/zenodo.7927610
title: Line Segment in Document Images Datasets

description: Those datasets are related to the accepted article to ICDAR 2023: "Linear Object Detection in Document Images<br> using Multiple Object Tracking" by Bernet et al. The official github repository is : https://github.com/EPITAResearchLab/bernet.23.icdar .png ground truth are labelled images where white pixels correspond to the background. .csv ground truth are using the following format:<br> ```<br> x,y,w,h # First line is the size of the interest area in the image<br> x1,y1,x2,y2 # Following lines are the coordinates of the extremities of the line<br> ...<br> xn,yn,xn+1,yn+1<br> ```
DOI: 10.7281/t1/awwakp/o0e4qh
title: Waugh-Haine-2020-model-output.zip

description: Contains two netCDF data files associated with publication Waugh and Haine (2020)
DOI: 10.7281/t1/awwakp/xgabrc
title: README.txt

description: Readme file for data in Waugh-Haine-2020-model-output.zip folder
DOI: 10.5281/zenodo.7974538
title: BeMAGIC_Modelling of various magnetoelctric effects

description: BeMAGIC ITN (GA861145)_Modelling of various magnetoelectric effects
DOI: 10.5281/zenodo.7974537
title: BeMAGIC_Modelling of various magnetoelctric effects

description: BeMAGIC ITN (GA861145)_Modelling of various magnetoelectric effects
DOI: 10.34943/dc334b6d-2d2a-4648-96e4-ccdc43899d4b
title: Burrard Inlet Hydrophone Deployed 2022-10-04

description: The Ocean Sonics icListen HF Hydrophone 1354 was deployed on 2022-10-04 at Burrard Inlet. Burrard Inlet is a coastal fjord in southwestern British Columbia. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.23203415
title: Características de los estudios incluidos en la revisión sistemática de literatura

description: Estudios incluidos en la revisión sistemática de literatura de los términos: ”metaversity”, “metauniversity”, “university”, “higher education”, “metaverse”, “metaverses”, “immersive experience”, “extended reality”, “web 3.0”, “digital twin”, para las bases de datos WoS, Scopus y Scielo, luego del proceso de selección segun protocolo PRISMA.
DOI: 10.5281/zenodo.7958520
title: Transposon DNA sequences facilitate the tissue-specific horizontal transfer of circulating tumor DNA between human cells

description: The uploaded files are in the fasta format and are outputs from de novo assembly using the SGA algorithm (https://github.com/jts/sga). The description of the files are as below: <strong>Filename</strong> <strong>description</strong> 772.final.fa Multiple Myeloma ctDNA 54128-4M7.final.fa Pancreatic cancer cells coculture with multiple myeloma ctDNA 54128-6MP.final.fa Multiple myeloma cells coculture with pancreatic cancer ctDNA MIA-Cells.final.fa Pancreatic cancer cells MIA-cells-with-P201812-2.final.fa Pancreatic cancer cells coculture with pancreatic cancer ctDNA MM1S-cells.final.fa Multiple Myeloma cells MM1S-cells-with-772-2.final.fa Mutiple myeloma cells coculture with Multiple myeloma ctDNA P201812-2.final.fa Pancreatic Cancer ctDNA
DOI: 10.5281/zenodo.7958519
title: Transposon DNA sequences facilitate the tissue-specific horizontal transfer of circulating tumor DNA between human cells

description: The uploaded files are in the fasta format and are outputs from de novo assembly using the SGA algorithm (https://github.com/jts/sga). The description of the files are as below: <strong>Filename</strong> <strong>description</strong> 772.final.fa Multiple Myeloma ctDNA 54128-4M7.final.fa Pancreatic cancer cells coculture with multiple myeloma ctDNA 54128-6MP.final.fa Multiple myeloma cells coculture with pancreatic cancer ctDNA MIA-Cells.final.fa Pancreatic cancer cells MIA-cells-with-P201812-2.final.fa Pancreatic cancer cells coculture with pancreatic cancer ctDNA MM1S-cells.final.fa Multiple Myeloma cells MM1S-cells-with-772-2.final.fa Mutiple myeloma cells coculture with Multiple myeloma ctDNA P201812-2.final.fa Pancreatic Cancer ctDNA
DOI: 10.5066/p9l0w7st
title: USGS National and Global Oil and Gas Assessment Project&amp;amp;mdash;Barents Sea Area: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

description: This data release contains the boundaries of assessment units, assessment input data and resulting fact sheet data tables for the assessment of undiscovered oil and gas resources in the Barents Sea Area. The Assessment Unit is the fundamental unit used in the National and Global Oil and Gas Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. Machine-readable tables are provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.48437/02.2023.k.0601.0001
title: Schwebstoffmessung zur Trübungskalibrierung an der Eider 01/2022

description: Bei der Messung wurde vom Schiff aus an jeweils einer Position see- und binnenseits des Eider-Sperrwerkes mit verschiedenen Messsonden gemessen (EAU: Eider außen, EIN: Eider innen). Am 24.01.2022 wurde seeseits bei Flutstrom gemessen, am 25.01.2022 seeseits bei Ebbstrom und am 26.01.2022 binnenseits bei Flut- und Ebbstrom.

Während der Messung wurde zeitgleich alle 20 Minuten Wasserproben genommen. Im Labor wurde Schwebstoffgehalt und Glühverlust bestimmt. Mit diesen Informationen wurde für jede Sonde eine Kalibrierfunktion erstellt. Mehr Informationen sind im Bericht Nr.433 Trübungskalibirierung Eider zu finden.
DOI: 10.5517/ccdc.csd.cc2dqpxr
title: CCDC 2226355: Experimental Crystal Structure Determination

description: Related Article: Tainára Orlando, Jesus de Maria Perez, Fellipe Freire Santos Farias, Paulo Roberto dos Santos Salbego, Alberto Martinez-Cuezva, Marcos Antonio Pinto Martins, Jose Berna|2023|Cryst.Growth Des.|23|3794|doi:10.1021/acs.cgd.3c00194
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dqq40
title: CCDC 2226362: Experimental Crystal Structure Determination

description: Related Article: Tainára Orlando, Jesus de Maria Perez, Fellipe Freire Santos Farias, Paulo Roberto dos Santos Salbego, Alberto Martinez-Cuezva, Marcos Antonio Pinto Martins, Jose Berna|2023|Cryst.Growth Des.|23|3794|doi:10.1021/acs.cgd.3c00194
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dqq2y
title: CCDC 2226360: Experimental Crystal Structure Determination

description: Related Article: Tainára Orlando, Jesus de Maria Perez, Fellipe Freire Santos Farias, Paulo Roberto dos Santos Salbego, Alberto Martinez-Cuezva, Marcos Antonio Pinto Martins, Jose Berna|2023|Cryst.Growth Des.|23|3794|doi:10.1021/acs.cgd.3c00194
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dqqb6
title: CCDC 2226368: Experimental Crystal Structure Determination

description: Related Article: Tainára Orlando, Jesus de Maria Perez, Fellipe Freire Santos Farias, Paulo Roberto dos Santos Salbego, Alberto Martinez-Cuezva, Marcos Antonio Pinto Martins, Jose Berna|2023|Cryst.Growth Des.|23|3794|doi:10.1021/acs.cgd.3c00194
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dqpwq
title: CCDC 2226354: Experimental Crystal Structure Determination

description: Related Article: Tainára Orlando, Jesus de Maria Perez, Fellipe Freire Santos Farias, Paulo Roberto dos Santos Salbego, Alberto Martinez-Cuezva, Marcos Antonio Pinto Martins, Jose Berna|2023|Cryst.Growth Des.|23|3794|doi:10.1021/acs.cgd.3c00194
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ddxj8
title: CCDC 2216950: Experimental Crystal Structure Determination

description: Related Article: Shurong Liu, Tuoping Hu, Kun Yang, Xiutang Zhang|2023|CSD Communication|||
description: Related Article: Shurong Liu, Tuoping Hu, Kun Yang, Xiutang Zhang|2023|Cryst.Growth Des.|23|3320|doi:10.1021/acs.cgd.2c01472
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7898322
title: Epigenetic and transcriptional landscape of stress memory in woodland strawberry

description: Bedfiles of differentially methylated regions (DMRs) that were detected in stressed mother plants (M) and their (themselves unstressed) clonal daughter plants that were formed <em>via</em> stolon formation (St1, St2, St3). The M plants were grown and sampled <em>in vitro</em> and the St1, St2, St3 plants in the green house. The DMRs were called using the the EpiDiverse/dmr bioinformatic analysis pipeline (Nunn et al., 2021). <strong>Stress assays <em>in vitro</em></strong> One-month-old seedlings were transferred to a fresh MS media and growth chambers at 24<sup>o</sup>C/21<sup>o</sup>C (day/night),16 h light/8 h dark, as control conditions<em>. </em>For heat-stress, plants were exposed to 30<sup>o</sup>C (day/night) for one week followed by 2 days of recovery (24<sup>o</sup>C/21<sup>o</sup>C) on fresh medium as well as the control plants. Then, the plates were transferred to 37<sup>o</sup>C (day/night) for 1 week with 2 recovery days (Figure 1A). We sampled aerial parts of plants for the molecular analyses. To reduce variability resulting from individual plants, three biological replicates of 5 pooled plants were collected per condition. Samples were harvested in 1.5 mL tubes between 9:00-11:00 a.m. and immediately frozen in liquid nitrogen and stored at -80<sup>o</sup>C until required. <strong>Greenhouse propagation assays</strong> <em>In vitro</em> plants after heat and control treatment were transferred to soil (one plant per pot) in square plastic pots (size: 12x12x10 cm) and to a greenhouse with long day conditions (24<sup>o</sup>C/21<sup>o</sup>C day/night and 60%-70% humidity). Twelve mother plants (M) from control (CM; n=12) and heat-stress (HM; n=12) conditions were used for asexual propagation. From each mother plant, the two first stolons (St) were kept for producing the daughter plants of the first asexual propagation (St1) in individual pots. After two weeks, following root formation, the stolons were cut to get independent daughter plants from their mother plant (M). This process was continued until St3. The DMRs can also be visualized here: https://jbrowse.agroscope.info/jbrowse/?data=fragaria_sub And the raw bisulfite sequencing data can be found here: https://www.ebi.ac.uk/ena/browser/text-search?query=ERP135585 How many daughter plants per stolon? One stolon produce a chain of daughter plants.