cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.eehzc3
title: Occurrence Download

description: A dataset containing 838 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Daphnia pulex Leydig, 1860",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 838 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078290-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwmmh5
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Selasphorus sasin (R.Lesson, 1829))",
 "Country is one of (United States of America)",
 "StateProvince is one of (Florida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 93 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078291-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34770/mzkj-qh70
title: Achromonodin-1 NMR spectra

description: This entry encompasses the raw NMR spectra used to determine the structure
 of the lasso peptide achromonodin-1. Within one file are included the five
 following spectra: COSY, TOCSY, NOESY (150 ms mixing time), NOESY (700 ms
 mixing time), and C,H HSQC. The file requires Mestrenova software to read.
 These spectra were used to develop the 3D structure models of
 achromonodin-1 that are deposited at the protein data bank (PDB) as entry
 8SVB.
DOI: 10.15468/dl.9ycjx5
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Urile penicillatus (J.F.Brandt, 1837)"
 ]
}

 The dataset's 1 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078275-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c50g3h92p
title: MassIVE MSV000095673 - mRNA psi profiling using nanopore DRS reveals cell type-specific pseudouridylation
title: Pseudouridine (psi) is one of the most abundant human mRNA modifications generated via psi synthases, including TRUB1 and PUS7. Nanopore direct RNA sequencing combined with our recent tool, Mod-p ID, enables psi mapping, transcriptome-wide, without chemical derivatization of the input RNA and/or conversion to cDNA. This method is sensitive for detecting changes in positional psi occupancies across cell types, which can inform our understanding of the impact on gene expression. We sequenced, mapped, and compared the positional psi occupancy across six immortalized human cell lines derived from diverse tissue types. We found that lung-derived cells have the highest proportion of psi, while liver-derived cells have the lowest. Further, we find that conserved psi positions correspond to higher levels of protein expression than expected, suggesting translation regulation. Interestingly, we identify cell type-specific sites of psi modification in ubiquitously expressed genes. Finally, we characterize sites with multiple psi modifications on the same transcript and found that these can be conserved or cell type specific, including examples of multiple psi modifications within the same k-mer. Our data support the hypothesis that psi modifications contribute to regulating translation and that cell type-specific trans-acting factors play a major role in driving pseudouridylation.
DOI: 10.15468/dl.5745sm
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Daphnia parvula Fordyce, 1901",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 180 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078292-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ycv2v
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Selasphorus sasin (R.Lesson, 1829))",
 "Country is one of (United States of America)",
 "StateProvince is one of (Florida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 93 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078294-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13362601
title: Companion to GSE216848

description: Issues with data on GEO, working to fix. These files are provided in place of the ones in GEO.
DOI: 10.5281/zenodo.13362602
title: Companion to GSE216848

description: Issues with data on GEO, working to fix. These files are provided in place of the ones in GEO.
DOI: 10.15468/dl.x865sp
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Daphnia cephalata King, 1853",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078295-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34770/c3ph-p706
title: Marcellus Shale Unconventional Natural Gas Well Pad Emissions

description: Please refer to the attached README.txt file for information on the datasets
DOI: 10.5281/zenodo.12752872
title: Exploring Vocatives in Folk Songs of the Podillia Region

description: This dataset is based on the folklore collection Pisni Podillia: zapysy Nasti Prysiazhniuk v seli Pohrebyshche. 1920-1970 rr.  (Myshanych 1976). The collection consists of 850 songs, encompassing 13,005 lines and 78,888 tokens. Vocatives were manually distinguished and recorded in a separate column in the corpus without the assistance of RStudio, due to the complexity of distinguishing vocatives in Ukrainian.

Vocatives in Ukrainian folk songs were analysed using the R programming language along with RStudio. 

Code written for text analysis in Estonian Literary Museum. 

 

This dataset consists of the following files:

1. vocatives_Podillia_folk_songs.R: R script used for analyzing the corpus, including vocative counting, song length analysis, POS-tag analysis,  semantic group and structural types analysis. 

2. corpus_vocatives.csv: Contains the text data of Podillia folk songs with manually distinguished vocatives. 

3. corpus_POS_tokens.csv: Contains verified the POS-tagged tokens of the corpus.
DOI: 10.5281/zenodo.12752873
title: Exploring Vocatives in Folk Songs of the Podillia Region

description: This dataset is based on the folklore collection Pisni Podillia: zapysy Nasti Prysiazhniuk v seli Pohrebyshche. 1920-1970 rr.  (Myshanych 1976). The collection consists of 850 songs, encompassing 13,005 lines and 78,888 tokens. Vocatives were manually distinguished and recorded in a separate column in the corpus without the assistance of RStudio, due to the complexity of distinguishing vocatives in Ukrainian.

Vocatives in Ukrainian folk songs were analysed using the R programming language along with RStudio. 

Code written for text analysis in Estonian Literary Museum. 

 

This dataset consists of the following files:

1. vocatives_Podillia_folk_songs.R: R script used for analyzing the corpus, including vocative counting, song length analysis, POS-tag analysis,  semantic group and structural types analysis. 

2. corpus_vocatives.csv: Contains the text data of Podillia folk songs with manually distinguished vocatives. 

3. corpus_POS_tokens.csv: Contains verified the POS-tagged tokens of the corpus.
DOI: 10.5281/zenodo.13293244
title: Exploring Vocatives in Folk Songs of the Podillia Region

description: This dataset is based on the folklore collection Pisni Podillia: zapysy Nasti Prysiazhniuk v seli Pohrebyshche. 1920-1970 rr.  (Myshanych 1976). The collection consists of 850 songs, encompassing 13,005 lines and 78,888 tokens. Vocatives were manually distinguished and recorded in a separate column in the corpus without the assistance of RStudio, due to the complexity of distinguishing vocatives in Ukrainian.

Vocatives in Ukrainian folk songs were analysed using the R programming language along with RStudio. 

Code written for text analysis in Estonian Literary Museum. 

 

This dataset consists of the following files:

1. vocatives_Podillia_folk_songs.R: R script used for analyzing the corpus, including vocative counting, song length analysis, POS-tag analysis,  semantic group and structural types analysis. 

2. corpus_vocatives.csv: Contains the text data of Podillia folk songs with manually distinguished vocatives. 

3. corpus_POS_tokens.csv: Contains verified the POS-tagged tokens of the corpus.
DOI: 10.5281/zenodo.13362628
title: Exploring Vocatives in Folk Songs of the Podillia Region

description: This dataset is based on the folklore collection Pisni Podillia: zapysy Nasti Prysiazhniuk v seli Pohrebyshche. 1920-1970 rr.  (Myshanych 1976). The collection consists of 850 songs, encompassing 13,005 lines and 78,888 tokens. Vocatives were manually distinguished and recorded in a separate column in the corpus without the assistance of RStudio, due to the complexity of distinguishing vocatives in Ukrainian.

Vocatives in Ukrainian folk songs were analysed using the R programming language along with RStudio. 

Code written for text analysis in Estonian Literary Museum. 

 

This dataset consists of the following files:

1. vocatives_Podillia_folk_songs.R: R script used for analyzing the corpus, including vocative counting, song length analysis, POS-tag analysis,  semantic group and structural types analysis. 

2. corpus_vocatives.csv: Contains the text data of Podillia folk songs with manually distinguished vocatives. 

3. corpus_POS_tokens.csv: Contains verified the POS-tagged tokens of the corpus.
DOI: 10.6084/m9.figshare.25152311.v1
title: <b>The driving factors of dimethylated sulfur compounds in the Pearl River Estuary</b><b>: the</b> <b>nonnegligible role of </b><b><i>Synechococcus</i></b>

description: Estuaries serve significant roles in the global dimethylated sulfur compounds (DSCs) cycle, whereas the driving factors and biological contribution still need to be better understood. To explore the factors controlling the spatial variabilities of dimethylsulfide (DMS) and dimethylsulfoniopropionate (DMSP) and, the role of phytoplankton in DSCs emissions in estuaries, a field investigation was conducted alongside diluted water in the Pearl River Estuary (PRE). The influx of the Pearl River diluted water (PRDW) caused a shift in higher DMSP and DMS values from the nearshore to offshore. Interestingly, the abundance of <i>Synechococcus</i> exhibited significant positive correlations with DMS and DMSP, compared to eukaryotic phytoplankton. These results indicated that <i>Synechococcus</i> was an essential biological factor driving the DSCs production in estuaries. This study provides a new insight to clarify the nonnegligible role of <i>Synechococcus</i> in the biogenic sulfur cycle, in which its contribution must be considered in further estuarine investigation.
DOI: 10.15468/dl.86qm3y
title: Occurrence Download

description: A dataset containing 391 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Ceriodaphnia dubia Richard, 1894",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 391 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078296-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/045e3001129aca3b34fd0e91b1a6f596
title: Georectified Mosaic of Aerial Images of Baltimore City in 1927

description: Landscape analyses are typically done using spatially explicit color
 aerial imagery. However, working with non-spatial black and white
 historical aerial photographs presents several challenges that require
 a combination of techniques and approaches. We analyzed 93 aerial
 images covering 544 km2 (210 mi2) including all of Baltimore City, and
 an area immediately adjacent to the city known at the time as the
 Metropolitan District of Baltimore County. The images were taken from
 a biplane between October 1926 and February 1927. High-resolution
 scans were georeferenced and georectified against modern satellite
 imagery of the area and then combined to create a single raster
 mosaic. This process converted the images from a disparate set of
 photographs into a spatially explicit GIS data set that can be used to
 observe changes in land patches over time—and ultimately integrated
 with other long-term social, economic, and ecological data.
DOI: 10.6073/pasta/28793d6417db548f26679ab0e5197fb8
title: A Land-use/Land Cover Classification of Baltimore City in 1927

description: Land-use and land cover classifications are typically created using
 automated methods to analyze modern, spatially explicit color aerial
 imagery. However, creating classifications from black and white
 historical aerial imagery presents a number of challenges that require
 a combination of more traditional, manual techniques and approaches. A
 georectified mosaic of 93 aerial images was digitized in ArcGIS to
 create a land-use/land cover classification. The analyzed area covered
 585 km2 (226
 mi2) including all of Baltimore City, and
 an area immediately adjacent to the city known at the time as the
 Metropolitan District of Baltimore County. A combination of 8 land-use
 and land cover classes were used: Agriculture, Barren, Built (Other),
 Forest, Grass/Shrubland, Industrial, Residential, and Water. This
 geospatial data set captures a moment of dynamic expansion in the
 city, just prior to the Great Depression and can be used to examine
 relationships between property ownership and forest patch dynamics
 across time. These insights may help inform future environmental
 planning, conservation, management, and stewardship goals for
 Baltimore City forest patches, and other cities throughout the region.
DOI: 10.6073/pasta/6b583e08366f53fd8665e835f1bad44c
title: Georectified Mosaic of Aerial Images of Baltimore City in 1953

description: Landscape analyses are typically done using spatially explicit color
 aerial imagery. However, working with non-spatial black and white
 historical aerial photographs presents several challenges that require
 a combination of techniques and approaches. We analyzed 113 aerial
 images covering approx. 700 km2 (270 mi2) including all of Baltimore
 City, and a portion of Baltimore County surrounding the City. The
 images were taken between August 23rd 1952 and February 14th 1953.
 High-resolution scans were georeferenced and georectified against
 modern satellite imagery of the area and then combined to create a
 single raster mosaic. This process converted the images from a
 disparate set of photographs into a spatially explicit GIS data set
 that can be used to observe changes in land patches over time—and
 ultimately integrated with other long-term social, economic, and
 ecological data.
DOI: 10.6073/pasta/84b59c8e375e3915cc62dea2cf73627a
title: A Land-use/Land Cover Classification of Baltimore City in 1953

description: Land-use and land cover classifications are typically created using
 automated methods to analyze modern, spatially explicit color aerial
 imagery. However, creating classifications from black and white
 historical aerial imagery presents a number of challenges that require
 a combination of more traditional, manual techniques and approaches. A
 georectified mosaic of 113 aerial images was digitized in ArcGIS to
 create a land-use/land cover classification. The analyzed area covered
 700 km2 (270 mi2) including all of Baltimore City, and a portion of
 Baltimore County immediately surrounding the city. A combination of 8
 land-use and land cover classes were used: Agriculture, Barren, Built
 (Other), Forest, Grass/Shrubland, Industrial, Residential, and Water.
 This geospatial data set captures an ecologically and socially
 important moment in the post-war history of the city. It can be used
 to examine relationships between property ownership and forest patch
 dynamics across time. These insights may help inform future
 environmental planning, conservation, management, and stewardship
 goals for Baltimore City forest patches, and other cities throughout
 the region.
DOI: 10.15468/dl.rnt5ab
title: Occurrence Download

description: A dataset containing 306 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Ceriodaphnia reticulata (Jurine, 1820)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 306 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078297-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6mbh6
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Ceriodaphnia pulchella Sars, 1862",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 686 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078298-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jse2aw
title: Occurrence Download

description: A dataset containing 1030191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.49757 -38.30759,-70.03574 -38.30759,-70.03574 -35.25381,-73.49757 -35.25381,-73.49757 -38.30759))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1030191 records from 587 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078289-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17171/1-5-1362-2
title: Image of Cylinder Seal VA 00238
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1362-3
title: Image of Cylinder Seal VA 00238
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1363-1
title: 3D model of Cylinder Seal VA 00238
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1364-1
title: 3D model of Cylinder Seal VA 00239
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1365-1
title: Image of Cylinder Seal VA 00239
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1366-1
title: 3D model of Cylinder Seal VA 00240
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1367-1
title: Image of Cylinder Seal VA 00240
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1367-2
title: Image of Cylinder Seal VA 00240
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1367-3
title: Image of Cylinder Seal VA 00240
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1367-4
title: Image of Cylinder Seal VA 00240
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1367-5
title: Image of Cylinder Seal VA 00240
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1367-6
title: Image of Cylinder Seal VA 00240
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1367-7
title: Image of Cylinder Seal VA 00240
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1368-1
title: 3D model of Cylinder Seal VA 00242
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1368-2
title: 3D model of Cylinder Seal VA 00242
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1369-1
title: Image of Cylinder Seal VA 00242
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1370-1
title: 3D model of Cylinder Seal VA 00243
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1371-1
title: Image of Cylinder Seal VA 00243
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1371-10
title: Image of Cylinder Seal VA 00243
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1371-2
title: Image of Cylinder Seal VA 00243
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1371-3
title: Image of Cylinder Seal VA 00243
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1371-4
title: Image of Cylinder Seal VA 00243
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1371-5
title: Image of Cylinder Seal VA 00243
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1371-6
title: Image of Cylinder Seal VA 00243
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1371-7
title: Image of Cylinder Seal VA 00243
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals
DOI: 10.17171/1-5-1371-8
title: Image of Cylinder Seal VA 00243
title: Vorderasiatisches Museum Berlin - Staatliche Museen zu Berlin

description: Cylinder Seals