cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10532691
title: The data for new theoretical Fe II templates for bright quasars

description: The compressed '.tar.gz' files contain new theoretical Fe II templates that can be used for fitting UV to near-IR (1000-10000 Angstrom) spectra of quasars. The templates were developed using the latest Fe II atomic database of Smyth et al. (2019) within the CLOUDY C23.0 photoionization code with the following set of parameters.



H-ionizing photons flux: 17 ≤ log ΦH (cm−2 s−1) ≤ 22, and

Gas density: 9≤ log nH (cm−3) ≤ 14, 

Step size: 0.25 on log scale.

A fixed Hydrogen column density: 10^24 cm−2 

Abundance: solar 

SED shape: standard "agn.sed", a continuum similar to Mathews & Ferland (1987)

The Fe II template is available for the microturbulence values 0,10, 20, 30, 50 and 100 km/s.


(Note: The Fe II templates for the inward (directly illuminated) and outward (shielded) emissions are also available in the GitHub link: https://github.com/Ashwani-88/Fe2_template)

Each tar.gz file consists of Fe II templates for a microturbulence velocity and is named as

turb_vn.tar.gz,

where n is the microturbulence velocity in km/s. The files within each directory are named as follows:

phia_nHb_mc.dat

where  a =  log value of the H-ionizing photon flux in cm−2s−1,b = log value of the Hydrogen gas density in cm−3, andc =  the value of microturbulence in km/s.

Each template file has two columns

First column: wavelength in Angstrom with 2 Angstrom binningSecond column: Fe II line intensity (in erg cm-2 s-1)
DOI: 10.5281/zenodo.14837985
title: The data for new theoretical Fe II templates for bright quasars

description: The compressed '.tar.gz' files contain new theoretical Fe II templates that can be used for fitting UV to near-IR (1000-10000 Angstrom) spectra of quasars. The templates were developed using the latest Fe II atomic database of Smyth et al. (2019) within the CLOUDY C23.0 photoionization code with the following set of parameters.



H-ionizing photons flux: 17 ≤ log ΦH (cm−2 s−1) ≤ 22, and

Gas density: 9≤ log nH (cm−3) ≤ 14, 

Step size: 0.25 on log scale.

A fixed Hydrogen column density: 10^24 cm−2 

Abundance: solar 

SED shapes:


(1) Standard "agn.sed", a continuum similar to Mathews & Ferland (1987)

(2) Intermediate SED of (Jin et al., 2012)                         



The Fe II template is available for the microturbulence values 0, 20, 50 and 100 km/s.


(Note: The Fe II templates are also available in the GitHub link: https://github.com/Ashwani-88/Fe2_template)

Each tar.gz file consists of Fe II templates for different SED shapes. For each SED shape;

The new Fe II templates are available in the directory "Templates_including_only_total_Fe2". 

Additionally, we provide templates for the outward and inward Fe II emissions in the directory "Templates_including_outward_Fe2"

The directory for Fe II templates for a microturbulence velocity is named as

turb_vn

where n is the microturbulence velocity in km/s. The files within each directory are named as follows:

phia_nHb_mc.dat

where  a =  log value of the H-ionizing photon flux in cm−2 s−1,b = log value of the Hydrogen gas density in cm−3, andc =  the value of microturbulence in km/s.

Each template file in ``Templates_including_only_total_Fe2'' has two columns  

 First column: wavelength in Angstrom with 2 Angstrom binning    Second column: Fe II line intensity (in erg cm-2 s-1 A-1)

Templates in ``Templates_including_outward_Fe2'' has four columns.

First column: wavelength in Angstrom with 1000 logarithmic bins, each ~ 584 km/s wide,  between 1000 and 7000 Angstrom.     Second column: Total Fe II line intensity (in erg cm-2 s-1 A-1)      Third column:  Inward Fe II line intensity (in erg cm-2 s-1 A-1)       Fourth column: Outward Fe II line intensity (in erg cm-2 s-1 A-1)       

The Fe II line intensity includes a covering factor of 30 % and is scaled for our test object RM 102.
DOI: 10.3886/e218501
title: Encoding Geography Curriculum Planning Tool

description: Encoding Geography's curriculum planning tool is used for teachers, instructors, and educators to develop a social studies lesson that engages students in computational thinking, data reasoning, and critical thinking skills. The method provides space for using culturally-relevant topics to enhance student learning.<br><br>This tool provides:<br>Steps for developing a lessonForm for structuring lesson elements and objectivesGuidelines for computational/spatial thinking topicsThis tool has been utilized by community college and high school instructors in Sweetwater Unified High School District and San Diego, to bridge skill development in both computational and social science subject areas.<br><b><br>Language</b>: English<br><br><b>Grades</b>: K-14<br><br><b>Subject</b>: Computer Science, History, Social Studies (including Geography, Politics, Regional Studies, etc.)<br><br><b>Instructional Datasets</b>: geospatial; shapefiles; tables/charts; maps; graphs<br><br><b>Author(s)</b>: Kelly León, Thomas Herman, Amr Magdy, Sergio Rey, Michael Solem, Rachel Russell, Atsushi Nara, Coline Dony<br><br><b>Recent Version</b>: 2023
DOI: 10.3886/e218501v1
title: Encoding Geography Curriculum Planning Tool

description: Encoding Geography's curriculum planning tool is used for teachers, instructors, and educators to develop a social studies lesson that engages students in computational thinking, data reasoning, and critical thinking skills. The method provides space for using culturally-relevant topics to enhance student learning.<br><br>This tool provides:<br>Steps for developing a lessonForm for structuring lesson elements and objectivesGuidelines for computational/spatial thinking topicsThis tool has been utilized by community college and high school instructors in Sweetwater Unified High School District and San Diego, to bridge skill development in both computational and social science subject areas.<br><b><br>Language</b>: English<br><br><b>Grades</b>: K-14<br><br><b>Subject</b>: Computer Science, History, Social Studies (including Geography, Politics, Regional Studies, etc.)<br><br><b>Instructional Datasets</b>: geospatial; shapefiles; tables/charts; maps; graphs<br><br><b>Author(s)</b>: Kelly León, Thomas Herman, Amr Magdy, Sergio Rey, Michael Solem, Rachel Russell, Atsushi Nara, Coline Dony<br><br><b>Recent Version</b>: 2023
DOI: 10.15468/dl.gpc3ct
title: Occurrence Download

description: A dataset containing 279360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is April",
 "TaxonKey is Milvus migrans (Boddaert, 1783)"
 ]
}

 The dataset includes 279360 records from 1654 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021040-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0188140.10fu
title: SH0188140.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188141.10fu
title: SH0188141.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188142.10fu
title: SH0188142.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188143.10fu
title: SH0188143.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188144.10fu
title: SH0188144.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.26008/1912/bco-dmo.982626.1
title: Particle counts for BioSWOT-Med Zooglider deployment in the Northwestern Mediterranean Sea, March-May 2023

description: These data are based on deployment of the Scripps Zooglider in collaboration with the French-led BIOSWOT-Med study in the Northwestern Mediterranean Sea in Spring 2023.  This study was one of the Adopt-a-Crossover field studies carried out around the world in synchrony with the launch by NASA/CNES of the new SWOT satellite for enhanced ocean altimetry.  We deployed Zooglider on 30 March 2023 from Palma, Majora using a small craft, then navigated it remotely to the BIOSWOT-Med study region.  Initially Zooglider sampled to the east of Majorca and south of Menorca. Then we recovered Zooglider at sea, transported it to the center of an anticyclonic eddy north of Menorca, and redeployed it, navigating it from the eddy center across the eddy periphery.  We then recovered it at sea on 8 May 2023, for a total mission duration of 40 days.  Zooglider data were telemetered back to our server each time the vehicle surfaced and the data were immediately posted on our public website, available to all BIOSWOT-Med participants and any member of the general public.  The data archived here are the data recovered from the Zooglider at the end of the mission.  They include enumerations of 25 categories of planktonic organisms, plus enumerations of particles between 0.25-0.45 mm Equivalent Circular Diameter.  Data were typically acquired in Zooglider dives between approximately 420 m depth and the sea surface, apart from initial and final Zooglider dives that were somewhat shallower.
DOI: 10.15468/dl.dsau2h
title: Occurrence Download

description: A dataset containing 592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Centruroides gracilis (Latreille, 1804)"
 ]
}

 The dataset includes 592 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054531-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vwgjvj3wrb.1
title: Gene expression data - tumor-infiltrating lymphocytes

description: Gene expression data corresponding to: 

"The cytokine Meteorin -like inhibits anti-tumor CD8+ T cell responses by disrupting mitochondrial function"

Christopher M. Jackson; Ayush Pant; Wikum Dinalankara; John Choi; Aanchal Jain; Ryan Nitta; Eli Yazigi; Laura Saleh; Liang Zhao; Thomas R. Nirschl; Christina M. Kochel; Denis Routkevitch; Kisha Patel; Kwang Bog Cho; Stephany Tzeng; Sarah Y. Neshat; Young-Hoon Kim; Barbara J. Smith; Maria Cecilia Ramello; Elena Sotillo; Xinnan Wang; Jordan J. Green; Chetan Bettegowda; Gordon Li; Henry Brem; Crystal L. Mackall; Drew M. Pardoll; Charles G. Drake; Luigi Marchionni; Michael Lim


Notes: 
(1) SummarizedExpression objects are available for GBM (glioblastoma), PRAD (prostate adenocarcinoma), BLCA (bladder urothelial carcinoma), and RCC (renal cell carcinoma)
(2) The 'expected_counts' from RSEM quantification are provided in the count assay of each SummarizedExperiment object and the data have been aligned to hg19 human reference genome
DOI: 10.15468/dl.pxwb8j
title: Occurrence Download

description: A dataset containing 510725 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Country is Puerto Rico",
 "Country is Costa Rica",
 "Country is Peru",
 "Country is Mexico",
 "Country is Chile",
 "Country is Bermuda",
 "Country is Guadeloupe"
 ]
 },
 "TaxonKey is Calidris pusilla (Linnaeus, 1766)"
 ]
}

 The dataset includes 510725 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000479-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lsri24
title: Occurrence Download

description: A dataset containing 899 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Collection Insecta fossil - SMF"
 ]
}

 The dataset includes 899 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008195-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvbfdf
title: Occurrence Download

description: A dataset containing 1150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((118.95061 35.13902,119.75778 35.13902,119.75778 35.82549,118.95061 35.82549,118.95061 35.13902))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1150 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0414697-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ibydz
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrococca mercurialis (L.) Benth."
 ]
}

 The dataset includes 379 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008592-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qymmes
title: Occurrence Download

description: A dataset containing 886 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Mexico",
 "Country is Nicaragua",
 "Country is Costa Rica",
 "Country is Panama",
 "Country is Guatemala",
 "Country is El Salvador",
 "Country is Belize",
 "Country is Honduras"
 ]
 },
 "TaxonKey is Stanhopea J.Frost ex Hook."
 ]
}

 The dataset includes 886 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053611-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dodqka
title: Occurrence Download

description: A dataset containing 4735 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "Year 2001-2018",
 "Geometry POLYGON((-2.21841 38.08164,0.98960 38.08164,0.98960 39.36430,-2.21841 39.36430,-2.21841 38.08164))",
 "HasCoordinate is true",
 "TaxonKey is Rhamnus lycioides L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4735 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008592-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb4md8
title: Occurrence Download

description: A dataset containing 6934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aedes japonicus (Theobald, 1901))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6934 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0424596-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsssgd
title: Occurrence Download

description: A dataset containing 1226 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achatina fulica (Bowdich, 1822)"
 ]
}

 The dataset includes 1226 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010467-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqfsb5
title: Occurrence Download

description: A dataset containing 204529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Helianthemum nummularium (L.) Mill."
 ]
}

 The dataset includes 204529 records from 764 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025963-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5krx59
title: Occurrence Download

description: A dataset containing 892 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tragopan caboti (Gould, 1857)"
 ]
}

 The dataset includes 892 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0414713-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gq4o8h
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Meliosma frondosa Cuatrec. & Idrobo"
 ]
}

 The dataset includes 42 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008196-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmypud
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thalictrum L."
 ]
}

 The dataset includes 0 records from 401 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070723-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.isocwl
title: Occurrence Download

description: A dataset containing 3746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Phyllomedusa Wagler, 1830",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3746 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008592-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9chnm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "CatalogNumber" : [
 "is Bird.27847588"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023158-191105090559680/datasets/export for details.