cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25581/ornlsfa.024/1837084
title: NIST: Soil Respiration, Moisture, Temperature, Chemistry; and Fine Root Measurements from a Transect Through a Forest Edge, Gaithersburg, Maryland, 2017-2021

description: This dataset contains soil respiration, moisture, temperature, and chemistry, as well as fine root measurements from the National Institute of Standards and Technology (NIST) Forested Optical Reference for Evaluating Sensor Technology (FOREST) research facility at Gaithersburg, Maryland. Measurements were taken at an existing transect array that begins in a grassy meadow, crosses a sharp forest edge, then a small stream, and finally extends upwards in the interior of the forest at the top of a ridge. There are 6 different landscape positions replicated across three transects in the array. Soil respiration was measured during growing seasons in 2017-2019 (2017-06-02 to 2020-02-27). Pedons (1 m3) were isolated from surrounding tree roots using trenching and a fabric to inhibit root ingrowth. Flux measurements inside the pedons were thus assumed to represent heterotrophic only respiration in 2019, and these fluxes were paired with nearby fluxes assumed to represent total respiration. Deep vertical probes measured volumetric moisture content and temperature at the same points in the array every 10 cm in depth to either 90 cm or 120 cm total depth, at 15 minute intervals, from 2019-2021 (2019-07-09 to 2021-09-10). Soil core samples were collected from each of the array points for three different months in early- to mid-2019 (2019-03-19 to 2019-07-10), at three depths each. Soils were analyzed for gravimetric moisture content; pH; total carbon, nitrogen, and phosphorus; texture; microbial biomass carbon, nitrogen, and phosphorus; extractable dissolved organic carbon, nitrogen, and phosphorus; extractable nitrate and ammonia; and extracellular hydrolytic enzyme activities. The fine roots were separated from the cores and segregated by plant functional type (grass or tree species) and if they were dead or alive. Fine roots were then measured for length, surface area, diameter, and dry mass. This dataset contains four data files in comma separated (*.csv) format. These data serve to deepen our understanding of root and soil processes at forest edges and in transitional zones.
DOI: 10.3334/cdiac/ornlsfa.004
title: Predawn Leaf Water Potential of Oak-Hickory Forest at Missouri Ozark (MOFLUX) Site: 2004-2020

description: Measurements of predawn leaf water potential (PLWP) have been made at weekly to biweekly intervals during the 2004 to 2020 growing seasons of the second-growth upland oak-hickory forests at the Missouri Ozark AmeriFlux (MOFLUX) site. The MOFLUX site is located in the University of Missouri Baskett Wildlife Research area (BWREA), situated in the Ozark Border Region of central Missouri, USA. More recent data will be added periodically. In each year, except for 2004, the first measurements occurred in mid-May. In all years, the last measurements took place in late October. Leaf samples were collected weekly or biweekly before dawn from canopy and sapling individuals of the common tree species at the site. A total of 20–21 samples were obtained each day with 6–7 taken from white oak (Quercus alba L.), and the rest, with at least two samples per species, distributed among black oak (Q. velutina Lam.), sugar maple (Acer saccharum Marsh.), shagbark hickory (Carya ovata (Mill.) K. Koch), white ash (Fraxinus americana L.), and eastern redcedar (Juniperus virginiana L.), roughly in proportion to their relative stem abundance in the stand.
DOI: 10.1594/pangaea.965194
title: Mobile phase-sensitive radio echo sounder (pRES) profiling data of deep radiostratigraphy of Colle Gnifetti (Swiss–Italian Alps), 2021

description: Using a novel mobile phase-sensitive radio echo sounder (pRES) system, radar profiling was conducted at Colle Gnifetti, Monte Rosa massif (Swiss–Italian Alps) in September 2021 to detect its deep englacial radiostratigraphy. The pRES (also denoted as autonomous pRES (ApRES) for stationary operations) is a frequency-modulated continuous wave (FMCW) radar operating at 200 to 400 MHz (Brennan et al., 2014). It provides phase-coherent radar data, which enables the application of Layer-optimized Synthetic Aperture Radar (LO-SAR) processing to improve the detectability of internal reflection horizons. We mobilized the pRES by placing its skeleton antennas in inflated tractor inner tubes and connecting them with a wooden frame. The antennas were separated by 2.7 m (center-to-center), elevated a few centimeters above the snow surface and their dipole axes were oriented perpendicular to the profiling direction. The data were acquired in stop-and-go mode with a median trace spacing of approximately 13 cm. Positioning was controlled by the Trimble® R9s GNSS system, operated in RTK mode. A profile with a total length of 285 m was acquired. It is split into two transects, a 166 m long transect across the glacier saddle that passes the drill location of the CG03 ice core (Sigl et al., 2018), and an intersecting 119 m long transect upstream towards south/the KCC ice core (Kerch et al., 2018).
DOI: 10.1594/pangaea.950863
title: Physical properties on whole core of composite sedimentary sequence AMD1803-02CS of the Coronation Fjord (Baffin Island, Nunavut, Canada)
DOI: 10.1594/pangaea.951107
title: Ice Rafted Debris (IRD) counts of composite sedimentary sequences AMD1803-02CS and AMD2019-804-12CS of the Coronation Fjord (Baffin Island, Nunavut, Canada)
DOI: 10.1594/pangaea.950846
title: Bulk mineralogy of composite sedimentary sequence AMD1803-02CS of the Coronation Fjord (Baffin Island, Nunavut, Canada)
DOI: 10.1594/pangaea.950855
title: Physical properties on split core of composite sedimentary sequence AMD1803-02CS of the Coronation Fjord (Baffin Island, Nunavut, Canada)
DOI: 10.15468/dl.2t8jyz
title: Occurrence Download

description: A dataset containing 5007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera",
 "Year 2013-2022"
 ]
}

 The dataset includes 5007 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001627-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.961592
title: REVEALS reconstruction of past vegetation cover with original RPP values for African samples

description: This data set presents the reconstructed vegetation cover for 155 African sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed.Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
DOI: 10.1594/pangaea.950843
title: Grain size analysis of composite sedimentary sequence AMD1803-02CS of the Coronation Fjord (Baffin Island, Nunavut, Canada)
DOI: 10.1594/pangaea.961593
title: REVEALS reconstruction of past vegetation cover with original RPP values for South American samples

description: This data set presents the reconstructed vegetation cover for 173 South American sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed.Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
DOI: 10.1594/pangaea.961594
title: REVEALS reconstruction of past vegetation cover with original RPP values for samples in Australia and Oceania

description: This data set presents the reconstructed vegetation cover for 80 Indopacific sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed.Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
DOI: 10.1594/pangaea.879537
title: Measures of microbial, soil and plant variables of three grass-based agro-ecosystems in Austria, the UK and France
DOI: 10.15468/dl.wcbmem
title: Occurrence Download

description: A dataset containing 12972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Chiroptera",
 "Year 2010-2023"
 ]
}

 The dataset includes 12972 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001629-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5db7w28v
title: MassIVE MSV000096943 - GNPS - Longitudinal Observational Cohort on Mother Infant Dyads - Feces, Serum, and Milk
title: Fecal, serum, and milk samples collected longitudinally from mother/infant pairs in Dhaka, Bangladesh. Gates Foundation Sepsis Project. Untargeted LC-MS/MS acquisition was performed on a UltiMate 3000 liquid chromatography system (Thermo Scientific) coupled to a QExactive Orbitrap (Thermo Scientific) mass spectrometer.
DOI: 10.20350/digitalcsic/17026
title: Characterization of the alternatively-spliced ATM exon 7

description: [Description of methods used for collection/generation of data] - Sanger sequencing - Fluorescent Fragment Analysis
description: This dataset contains fragment analysis and sequencing files of a comprehensive study of the alternatively-spliced exon 7 of the breast cancer susceptibility gene ATM. Regulation of alternative splicing is a multifactorial process that includes a wide array of regulatory sequences (SRE) such as splicing enhancers and silencers. We have bioinformatically and functionally mapped two SRE-rich regions within ATM exon 7. Then, we tested 2 control splice-site and 48 regulatory variants in minigene mgATM_4-9 with exons 4 to 9 that we had previously reported (Bueno-Martinez et al, 2022; PMID 35716007). A large fraction of SRE-variants (71%; 34/48) impaired exon 7 recognition, supporting suitability of the combined in silico and minigene approach. Nineteen variants showed strong impacts, producing higher expression levels of △(E7)-transcripts and &lt;30% of the minigene full-length transcript. Finally, eight variants were classified as likely pathogenic according to the ACMG/AMP-based guidelines for the ATM gene.
description: Folder: 1.Sequences - Sub-folder cDNA. Transcript Sequencing: 94 *.ab1 files of transcripts generated by microdeletions and variants introduced into minigene mgATM_4-9. - Sub-folder: Minigenes. Sequence files of wild type and mutant constructs: 51 *.ab1 files. • Folder: 2.Fragment_Analysis. Fluorescent Fragment Analysis of plicing assays: 159 *.fsa files of fluorescent fragment analysis of RT-PCRs of microdeletions and variants.
DOI: 10.6084/m9.figshare.28279271
title: Fungal spore percentage data from lake surface sediments in the Inner Mongolia steppe and its surrounding areas

description: This file includes fungal spore percentage data from "Modern coprophilous fungal spores and their ecological indication from lakes in the Inner Mongolia steppe and surrounding areas"
DOI: 10.15468/dl.5zsqw9
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Zea mays L.",
 "Year 1990-2015"
 ]
}

 The dataset includes 146 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001635-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqwaz5
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Ochroma pyramidale (Cav.) Urb."
 ]
}

 The dataset includes 185 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001636-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6mf7j
title: Occurrence Download

description: A dataset listing the 13 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bat diversity in Taiwan"
 ]
}

 The dataset's 13 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001631-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3015189/2504641
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015190/2504642
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015192/2504643
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015193/2504644
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015194/2504645
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015198/2504646
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015199/2504647
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015200/2504648
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015201/2504649
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015202/2504650
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015204/2504651
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015205/2504652
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015206/2504653
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015210/2504654
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015211/2504655
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015212/2504656
title: Data for EMSL Project 51287 from January 2024
DOI: 10.15468/dl.y58ten
title: Occurrence Download

description: A dataset containing 9370 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taiwan Agricultural LTER Dataset 臺灣農業長期生態監測生物資料集"
 ]
}

 The dataset includes 9370 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001637-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3015213/2504657
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015214/2504658
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015215/2504659
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015217/2504660
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015218/2504661
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015219/2504662
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015220/2504663
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015221/2504664
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015222/2504665
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015230/2504666
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015231/2504667
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015232/2504668
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015233/2504669
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015235/2504670
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015236/2504671
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015237/2504672
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015240/2504673
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015241/2504674
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015242/2504675
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015243/2504676
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015244/2504677
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015245/2504678
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015246/2504679
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015247/2504680
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015249/2504681
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015250/2504682
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015251/2504683
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015252/2504684
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015254/2504685
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015255/2504686
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015256/2504687
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015257/2504688
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015258/2504689
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015261/2504690
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015262/2504691
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015263/2504692
title: Data for EMSL Project 51287 from January 2024
DOI: 10.15468/dl.d5dnp2
title: Occurrence Download

description: A dataset containing 993 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ROC RSPB Farmland Species Survey Dataset"
 ]
}

 The dataset includes 993 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001641-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3015264/2504693
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015265/2504694
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015268/2504695
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015271/2504696
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015272/2504697
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015273/2504698
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015274/2504699
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015275/2504700
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015276/2504701
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015277/2504702
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015284/2504703
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015285/2504704
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015287/2504705
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015291/2504706
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015295/2504707
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015298/2504708
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015299/2504709
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015302/2504710
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015303/2504711
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015304/2504712
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015305/2504713
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015307/2504714
title: Data for EMSL Project 51287 from January 2024
DOI: 10.15468/dl.jmsyxa
title: Occurrence Download

description: A dataset containing 9370 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taiwan Agricultural LTER Dataset 臺灣農業長期生態監測生物資料集"
 ]
}

 The dataset includes 9370 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001643-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3015308/2504715
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015309/2504716
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015310/2504717
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015311/2504718
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3015312/2504719
title: Data for EMSL Project 51287 from January 2024