cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7988837
title: Structural Inheritance in the Eastern Cordillera, NW Argentina: Low‐Temperature Thermochronology of the Cianzo Basin - Supporting Information

description: Supporting information accompanying the publication "Structural Inheritance in the Eastern Cordillera, NW Argentina: Low‐Temperature Thermochronology of the Cianzo Basin" published in Tectonics. The dataset contains (U-Th-Sm)/He and apatite fission track data from the Cianzo Basin, Jujuy, Argentina, and accompanying figures.

Table S1 contains full single-grain results from apatite (AHe) and zircon (ZHe) (U-Th-Sm)/He analyses. Table S2 and S3 contain AFT results including full counting data from apatite fission track (AFT) analyses.

Figure S1 supports AHe and ZHe data with plots showing relationships between cooling ages, eU, Ft and ESR. Figures S2–S4 support AFT data with radial plots.
DOI: 10.5281/zenodo.8271417
title: GRASS Input Data

description: This record contains the dataset that is used as input to GRASS v1.1.x. See https://github.com/palumbom/GRASS for details and instructions.
DOI: 10.5281/zenodo.833438
title: weecology/portalPredictions: 2023-05-19

description: Using various models to forecast abundances at Portal
DOI: 10.5519/j4sh7e0w
title: The 2016 release of the PREDICTS database V1.1

description: __This is an updated version of the 2016 release of the PREDICTS database. __

Data review in 2021-2023 has resulted in some changes and additions to the database.
One source (consisting of three studies) has changed ID. 24 studies have an additional blocking structure that was mistakenly omitted in the original database release. Three studies have additional blocks and records, as data from additional years have been included in this extract. We recommend using this updated version of these data, rather than the original 2016 release.



A dataset of 3,278,056 measurement, collated from 26,194 sampling locations in 94 countries and representing 47,089 species. The data were collated from 480 existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database was assembled as part of the [PREDICTS project](https://www.nhm.ac.uk/our-science/our-work/biodiversity/predicts.html) - Projecting Responses of Ecological Diversity In Changing Terrestrial Systems. 

The taxonomic identifications provided in the original data sets are those determined at the time of the original research, and so will not reflect subsequent taxonomic changes. 

This dataset is described in [10.1002/ece3.2579](http://dx.doi.org/10.1002/ece3.2579). A description of the way that this dataset was assembled is given in [10.1002/ece3.1303](http://dx.doi.org/10.1002/ece3.1303).

* `columns.csv`: Description of data extract columns
* `database.zip`: Database in zipped CSV format
* `database.rds`: Database in RDS format
* `sites.zip`: Site-level summaries in compressed CSV format
* `sites.rds`: Site-level summaries in RDS format
* `references.csv`: Data references in CSV format
* `references.bib`: Data references in BibTeX format
DOI: 10.6084/m9.figshare.23925291.v14
title: Dataset Direct effect of artificial warming on communities is stronger than its indirect effect through body mass reduction

description: This file holds the data and scripts used in the article "Direct effect of artificial warming on communities is stronger than its indirect effect through body mass reduction".Data are available in files whose name begins with the prefix "df". The variables names "date" and "date_c" represent the sampling date in discrete or continue value, respectively. "mesocosm_ID" is the identity of the mesocosm. "fish" represent the fish treatment (NF for No Fish, LB for Large-bodied fish and SB for Small-bodied fish). "warming" is the temperature treatment (NW for no warming, W for warming). "tmean15" is the mean temperature of the 15 days prior to the sampling date. "compartment", "class", "order" and "taxa" represent the taxonomy of the organisms. "N_l" is the density per liter. "C_mug_l" is the carbon biomass in microgram per liter. "S" and "H" are the species richness and the Shannon diversity index, respectively. "ZP" is the zooplankton:phytoplankton biomass ratio. The variables in df_bss.csv file are described in the main text of the article.Files with a numerical prefix are the scripts used for the statistical analyzes (multivariate analyzes, ecological index, community density and biomass, Predator Prey Biomass Ratio and Biomass Size Spectra).
DOI: 10.6084/m9.figshare.24374536.v1
title: Competition intensity is linked to the co-occurrence status and height differences of plant species found growing together in an old field community

description: <b>Abstract</b>1. Experimental evidence suggests that larger plant species generally have a competitive advantage, and thus should dominate communities where competition for limiting resources (i.e., water, soil nutrients, light, space, and/or mutualists) is intense. Additionally, researchers have postulated that competition can generate negative co-occurrence patterns. However, neither expectation is strongly supported by empirical evidence.2. In a relatively undisturbed old-field plant community, we explored the interdependency of these expectations by examining pairwise species co-occurrences, and pairwise species maximum height differences (measured here as the maximum potential height of the species), and by estimating competition intensity for sample plots using field transplants grown with and without neighbours. Specifically, we tested whether maximum species height differences were greater for negatively co-occurring species pairs than for positively co-occurring pairs found growing together. We also tested whether the maximum species height differences and co-occurrence status of species pairs were associated with the average competitive environment they tended to be found growing in.3. Negatively co-occurring species pairs found growing together differed more in maximum height compared to positively co-occurring species pairs that were more similar in maximum height. Additionally, species maximum height differences between negatively co-occurring species pairs where higher in less competitively intense plots, whereas species maximum heights were more similar between positively co-occurring species pairs found growing together in less competitively intense plots.4. <i>Synthesis:</i> Our results suggest an association between estimates of competition intensity generated using transplant experiments, and co-occurrence patterns. These findings contribute to our understanding of the association between size-mediated competition and spatial organization in plant communities and provide a framework for future research in this area.
DOI: 10.6084/m9.figshare.24645747
title: Riverine Nitrogen Data in the Conterminous United States

description: Spatial riverine nitrogen yields derived from gauge observations and river network across the Conterminous United States, including total nitrogen, nitrate, ammonium, and total organic nitrogen.The dataset contains <i>(1) total nitrogen loads for over 1,700 hydrologic stations across the Conterminous United States (CONUS), (2) riverine nitrogen net gain or net loss for watersheds controlled between upstream-downstream hydrologic stations over the CONUS, and (3) </i><i>Nonpoint-Source watershed total nitrogen yield</i><i>.</i>
DOI: 10.6084/m9.figshare.26038327
title: Supplementary Material for: Title: A case report of Trueperella Bernardiae pelvic osteomyelitis and sepsis. Literature review of Trueperella Bernardiae infections.

description: Introduction
Trueperella bernardiae (T.bernardiae) is a gram-negative coccobacilli that was initially categorized as coryneform bacteria, and thus frequently, it was not further investigated as a pathogenic organism. Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) has revolutionized the identification of bacteria, including T.bernardiae. Now case reports for T. bernardiae infections are starting to be reported, but it remains a rare pathogen for infections. 
Case presentation
Here we are reporting a rare case of T. bernardiae bacteremia, presenting with sepsis and imaging finding showing pelvic septic arthritis, micro-abscesses, and osteomyelitis. It would have likely started as urinary tract infection, followed by osteomyelitis and bacteremia. The patient was managed with intravenous vancomycin. The follow-up clinic visit showed clinical improvement. This article also provides a brief literature review of T. bernardiae infections. 
Conclusion
T. Bernardiae infections are rare but have clinical significance. This case adds another case to the literature regarding T. Bernadiae infections and especially highlights the point that they can present with a more serious presentation like sepsis. MALDI-TOF helps in the identification of these rare pathogens.
DOI: 10.15468/dl.g84kjk
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stromatoneurospora phoenix (Kunze) S.C.Jong & E.E.Davis"
 ]
}

 The dataset includes 10 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005792-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/hwrwlp
title: Vernacular names of the Flore d'Afrique Centrale

description: Vernacular names published in the Flore d'Afrique Centrale linked to their respective scientific names.
DOI: 10.17632/57zhhhs7xz.1
title: Metagenomic Dataset of an Eastern spinebill (Acanthorhynchus tenuirostris)
DOI: 10.18419/darus-1666/28
title: 00004197.JPG

description: :unav
DOI: 10.18419/darus-1666/32
title: 00004169.JPG

description: :unav
DOI: 10.18419/darus-1666/33
title: Spray.imagelist

description: :unav
DOI: 10.18419/darus-1666/34
title: 00004206.JPG

description: :unav
DOI: 10.18419/darus-1666/35
title: 00004168.JPG

description: :unav
DOI: 10.18419/darus-1666/36
title: 00004209.JPG

description: :unav
DOI: 10.18419/darus-1666/37
title: 00004194.JPG

description: :unav
DOI: 10.18419/darus-1666/38
title: 00004200.JPG

description: :unav
DOI: 10.26208/h62j-4004
title: Hestia Fossil Fuel Carbon Dioxide (FFCO2) Data Product -Indianapolis, Version 3.2, 20m grid at flux towers

description: The Hestia-Indy version 3.2 Fossil Fuel Carbon Dioxide (FFCO2) emissions represent emissions due to the combustion of fossil fuel and cement production in Marion county, Indiana. This dataset includes emissions at 20 m resolution within 2 km of two flux towers in Indianapolis, IN.  The emissions are generated using a bottom-up/engineering approach and are tied to results generated by the Vulcan Project, an effort to quantify space/time-resolved FFCO2 emissions for the entire United States landscape. A large number of data sources are combined to best estimate FFCO2 emissions at fine scales such as air quality emissions data, traffic flow data, building information, sociodemographic information, and fuel statistics. The native spatial resolution of the Hestia FFCO2 emissions data product is a combination of points, lines, and polygons dictated primarily by the underlying data sources and the Vulcan FFCO2 emissions output. The output made available here places this information into a regularized grid at hourly and annual temporal resolutions.
DOI: 10.4121/b9896e32-e99b-41b9-ae24-1700b9e4cbff.v1
title: Script underlying the paper "Phase-Space Discontinuous Galerkin Scheme for the Radiative Transfer Equation in Slab Geometry"

description: *** Solver for a phase-space Discontinuous Galerkin discretization for radiative transfer in slab-geometry ***authors: R. Bardin, F. Bertrand, O. Palii, M. Schlottbom corresponding author: Matthias Schlottbom, University of Twente, m.schlottbom@utwente.nl<br>We implement a symmetric interior penalty discontinuous Galerkin scheme for the approximation of the second-order form of the radiative transfer equation in slab geometry, using different polynomial degrees and quad-tree grids, which allow for local refinement in phase-space. We implement hierarchical error estimators.<br>*** Scientific reference ***R. Bardin, F. Bertrand, O. Palii, M. Schlottbom <em>A Phase-Space Discontinuous Galerkin Scheme for the Radiative Transfer Equation in Slab Geometry.</em>Computational Methods in Applied Mathematics, 2024. doi: <em>10.1515/cmam-2023-0090</em>When using this code, cite that paper.<br><br>*** Description ***For using the code, unzip the repository and run run.m. In lines 8-15, there are parameters regarding the solvers, test cases, and mesh refinement routines used.<br><br>
DOI: 10.4121/bac3310c-bfdc-4f0b-a8b3-34849a4eae2d
title: Dataset from "Combining Nickel- and Zinc-Porphyrin Sites via Covalent Organic Frameworks for Electrochemical CO2 Reduction"

description: Raw data for "Combining Nickel- and Zinc-Porphyrin Sites via Covalent Organic Frameworks for Electrochemical CO2 Reduction" by Hugo Veldhuizen†, Maryam Abdinejad†, Pieter J. Gilissen, Thomas Burdyny*, Frans D. Tichelaar, Sybrand van der Zwaag, Monique A. van der Veen*<br>Dataset includes nitrogen sorption, PSD, SEM, TEM, EDX, XPS, UV-vis, TGA, FT-IR, PXRD, NMR data and extensive electrochemical data used for analysis and plotting.<br>Images of main text and SI figures are included as well.
DOI: 10.5281/zenodo.10037629
title: A Global Forest Burn Severity Dataset from Landsat Imagery (2003–2016)

description: Global Forest Burn Severity database provides information on the amounts of biomass that are consumed by wildfire between 2003 and 2016. Based on the Global Fire Atlas product, when and where forest fires occurred during that period are firstly determined and then overlay the available Landsat surface reflectance products to obtain pre-fire and post-fire normalized burn ratios (NBRs) for each burned pixel, designating the difference between pre-fire NBR and post-fire NBR as dNBR and the relative difference as RdNBR. The dNBR and RdNBR for each individual forest fire are saved as GeoTiff file.
DOI: 10.5281/zenodo.10137836
title: QMC Raw Data for Graphene Corrugation Effects during Helium Adsorption

description: Graphene Corrugation Data Files

 

Raw quantum Monte Carlo data and submission scripts for a publication studying the effects of graphene corrugation on helium adsorption. 

View README.md for more information on repository contents.  Updated version (2024-04-28) contains larger system sizes (N_G = 72,108).

Fully corrugated lookup tables for isotropic graphene can be found here: https://zenodo.org/records/6574043
DOI: 10.5281/zenodo.1044103
title: Pandda Analysis Of Ptp1B Screened Against Fragment Libraries

description: Tyrosine phosphatase, PTP1B, screened against multiple fragment libraries via X-ray crystallography.
DOI: 10.5281/zenodo.10634291
title: JULES output from PRIME version 1

description: This is JULES output from the PRIME v1 framework in support of the PRIME documentation paper submitted to GMD. Data includes three SSP scenarios SSP1.2-6, SSP5.3-4-OS and SSP5.8-5 with data split into three tar files with an appropriate name for each scenario (Table 1). In each tarfile there are data for each of the 9 percentiles (Table 2) used for the analysis and each of the JULES output variables (Table 3) that are included in the paper. All are zipped netcdf files with naming convention as follows.

<scenario name> / <ensemble member number>_ssprcmip_<scenario name>_<variable>_ens.nc.gz

3 scenarios:




Scenario name used in data files
Scenario name used in paper


ssp126
SSP1-2.6




ssp534_over

SSP5-3.4-OS


ssp585
SSP5-8.5




Table 1: Scenario names used in datafiles and the corresponding name used in the paper.

9 ensemble members across the range of FaIR outputs: 




Percentile
Ensemble member


0.0
431


0.01
2037


0.05
1669


0.25
2236


0.5
1469


0.75
1523


0.95
1294


0.99
1015


1.0
1251




Table 2: List of percentiles and their appropriate ensemble member (the ensemble members are used in filenames)

JULES output variables used in paper:




Variable notation in filename
Variable definition in JULES userguide. 


precip
Gridbox precipitation rate  (kg m-2 s-1).


t1p5m_gb
Gridbox temperature at 1.5m (K)


cv
Gridbox mean vegetation carbon at end of model timestep (kg m-2)


frac
Fractional cover of each surface type.


resp_s_to_atmos_gb
Respired carbon from soil carbon emitted to atmosphere (kg m-2 s-1).


gpp_gb
Gridbox gross primary productivity of biomass expressed as carbon (kg m-2 s-1).


npp_n_gb
Gridbox net primary productivity of biomass expressed as carbon after nitrogen limitation (kg C m-2 (360days)-1).


runoff
Gridbox runoff rate (kg m-2 s-1).




Table 3: List of JULES variables included in the dataset. The JULES variable names are abbreviated in the filenames, this table translates what the name given in the filename means in terms of the data provided.
DOI: 10.5281/zenodo.10966640
title: Data for: Intervalley coherence and intrinsic spin-orbit coupling in rhombohedral trilayer graphene

description: Data files and data fitting code for manuscript "Intervalley coherence and intrinsic spin-orbit coupling in rhombohedral trilayer graphene." Analysis files Figure3.ipynb and Extracting_lambda.ipynb generate processed data for Fig 3 and extract values of lambda (spin orbit coupling strength) respectively.
DOI: 10.5281/zenodo.3661423
title: Curated Research on Network Traffic Analysis

description: With the NTA Database we aim to collect relevant information about the research in network traffic analysis conducted during the last years. To this end, we have curated related papers from journals and conferences and stored the extracted data in JSON files.
DOI: 10.6084/m9.figshare.21498720
title: ESA-Data.xlsx

description: Contains biomass and species number data from 7 years of grazing, mowing and fencing in semi-arid grasslands.
DOI: 10.15468/dl.r5kp3s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Montanoa hibiscifolia (Benth.) Standl.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037508-240626123714530/datasets/export for details.
DOI: 10.17632/wvw76bjhv8.2
title: A study of Unraveling CD4+ T Cell Diversity and Tissue Adaptation of Tregs in Abdominal Aortic Aneurysms through Single-Cell Sequencing. Luna Zhai et al.

description: We observed the heterogeneity of CD4+ T cells and identified a group of more activated, proliferated, and developed aorta Tregs in abdominal aortic aneurysms. These Tregs originate in the spleen and acquire the tissue-specific phenotype in the aorta. Figure 6 shows flow cytometry analysis of T cell subgroups in AAA spleen and aorta. Figure 7 treg precursor cluster in the spleen identified by adoptive transfer.
DOI: 10.18419/darus-1666/39
title: 00004214.JPG

description: :unav
DOI: 10.24341/tethys.185
title: Geodaten – Bundesland Oberösterreich (1:200.000)
title: Geodata - federal state of Upper Austria (1:200,000)

description: Geodaten sind Daten mit räumlichem Bezug zur Erdoberfläche und bestehen im Allgemeinen aus Geometrie- und zugehörigen Sachdaten. Die im Rahmen der Reihe „Geologie der Österreichischen Bundesländer“ veröffentlichten Daten basieren auf den gedruckten Blättern der Bundesländerserie 1:200.000. Der nicht flächendeckend über das Bundesgebiet verfügbare Datenbestand umfasst die Bundesländer Burgenland, Niederösterreich, Steiermark, Oberösterreich, Salzburg und Vorarlberg. Bedingt durch den Blattschnitt der einzelnen Blätter, werden auch Teile angrenzende Bundesländer und Auslandsanteile abgedeckt. Die veröffentlichten Datensätze entsprechen dem jeweils aktuellen Wissensstand zum Zeitpunkt des Kartendrucks und können geringfügige Abweichungen, z.B. durch Fehlerkorrektur oder Aktualisierung der Originale, aufweisen.
description: Geodata are data with a spatial reference to the Earth’s surface and typically consist of geometric and associated technical data. The data published in the framework of the series “Geologie der Österreichischen Bundesländer” (Geology of Austria‘s federal provinces) are based on the printed topographic maps of the federal province series 1:200,000. The non-area-wide data material available for the federal territory encompasses the provinces Burgenland, Lower Austria (Niederösterreich), Styria (Steiermark), Upper Austria (Oberösterreich), Salzburg and Vorarlberg. The margins of the individual sheets also cover parts of adjoining provinces and neighboring countries. The published datasets reflect the respective current state of knowledge at the time of map printing and can show minimal deviations, for example due to corrections of mistakes or updates on the originals.
DOI: 10.24341/tethys.188
title: Geodaten – Bundesland Steiermark (1:200.000)
title: Geodata - federal state of Styria (1:200,000)

description: Geodaten sind Daten mit räumlichem Bezug zur Erdoberfläche und bestehen im Allgemeinen aus Geometrie- und zugehörigen Sachdaten. Die im Rahmen der Reihe „Geologie der Österreichischen Bundesländer“ veröffentlichten Daten basieren auf den gedruckten Blättern der Bundesländerserie 1:200.000. Der nicht flächendeckend über das Bundesgebiet verfügbare Datenbestand umfasst die Bundesländer Burgenland, Niederösterreich, Steiermark, Oberösterreich, Salzburg und Vorarlberg. Bedingt durch den Blattschnitt der einzelnen Blätter, werden auch Teile angrenzende Bundesländer und Auslandsanteile abgedeckt. Die veröffentlichten Datensätze entsprechen dem jeweils aktuellen Wissensstand zum Zeitpunkt des Kartendrucks und können geringfügige Abweichungen, z.B. durch Fehlerkorrektur oder Aktualisierung der Originale, aufweisen.
description: Geodata are data with a spatial reference to the Earth’s surface and typically consist of geometric and associated technical data. The data published in the framework of the series “Geologie der Österreichischen Bundesländer” (Geology of Austria‘s federal provinces) are based on the printed topographic maps of the federal province series 1:200,000. The non-area-wide data material available for the federal territory encompasses the provinces Burgenland, Lower Austria (Niederösterreich), Styria (Steiermark), Upper Austria (Oberösterreich), Salzburg and Vorarlberg. The margins of the individual sheets also cover parts of adjoining provinces and neighboring countries. The published datasets reflect the respective current state of knowledge at the time of map printing and can show minimal deviations, for example due to corrections of mistakes or updates on the originals.