cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.78802.v1/t80
title: "Table 80" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in INEL&gt;0 collisions at center-of-mass energy 900 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.17182/hepdata.78802.v1/t81
title: "Table 81" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in INEL&gt;0 collisions at center-of-mass energy 7000 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.17182/hepdata.78802.v1/t82
title: "Table 82" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in INEL&gt;0 collisions at center-of-mass energy 7000 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.17182/hepdata.78802.v1/t83
title: "Table 83" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in INEL&gt;0 collisions at center-of-mass energy 7000 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.17182/hepdata.78802.v1/t84
title: "Table 84" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in INEL&gt;0 collisions at center-of-mass energy 7000 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.17182/hepdata.78802.v1/t85
title: "Table 85" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in INEL&gt;0 collisions at center-of-mass energy 7000 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.17182/hepdata.78802.v1/t86
title: "Table 86" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in INEL&gt;0 collisions at center-of-mass energy 8000 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.17182/hepdata.78802.v1/t87
title: "Table 87" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in INEL&gt;0 collisions at center-of-mass energy 8000 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.17182/hepdata.78802.v1/t88
title: "Table 88" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in INEL&gt;0 collisions at center-of-mass energy 8000 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.17182/hepdata.78802.v1/t89
title: "Table 89" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in INEL&gt;0 collisions at center-of-mass energy 8000 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.17182/hepdata.78802.v1/t90
title: "Table 90" of "Charged-particle multiplicity distributions over a wide pseudorapidity range in proton-proton collisions at $\mathbf{\sqrt{s}=}$ 0.9, 7 and 8 TeV"

description: Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in INEL&gt;0 collisions at center-of-mass energy 8000 GeV.
description: Measurements of charged particle multiplicities in pp collisions at centre-of-mass energies from 900 to 8000 GeV in the pseudorapidity range -3.4 to 5.0. Results are given for three normalizations: INEL (the sum of all inelastic interactions), NSD (non-single diffractive, i.e. non-diffractive and double processes only) and INEL&gt;0 class of events, which requires at least one charged particle in the final state in the pseudorapidiy range -1 to 1.
DOI: 10.5281/zenodo.18408288
title: weecology/EvergladesWadingBird: 3.3.0

description: v3.3.0
DOI: 10.5061/dryad.tht76hfc8
title: Engineered virus-like particles for transient delivery of prime editor ribonucleoprotein complexes in vivo

description: Prime editing enables precise installation of genomic substitutions,
 insertions, and deletions in living systems. Efficient in vitro and in
 vivo delivery of prime editing components, however, remains a challenge.
 Here, we report prime editor engineered virus-like particles (PE-eVLPs)
 that deliver prime editor proteins, prime editing guide RNAs, and nicking
 single guide RNAs as transient ribonucleoprotein complexes. We
 systematically engineered v3 and v3b PE-eVLPs with 65- to 170-fold higher
 editing efficiency in human cells compared to a PE-eVLP construct based on
 our previously reported base editor eVLP architecture. In two mouse models
 of genetic blindness, single injections of v3 PE-eVLPs resulted in
 therapeutically relevant levels of prime editing in the retina, protein
 expression restoration, and partial visual function rescue. Optimized
 PE-eVLPs support transient in vivo delivery of prime editor
 ribonucleoproteins, enhancing the potential safety of prime editing by
 reducing off-target editing and obviating the possibility of oncogenic
 transgene integration.
description: # Engineered virus-like particles for transient delivery of prime editor
 ribonucleoprotein complexes in vivo Dataset DOI:
 [10.5061/dryad.tht76hfc8](10.5061/dryad.tht76hfc8) ## Description of the
 data and file structure Numerical source data for retinal tissue prime
 editing showed in Figure 5 and Extended Data Figure 10. We show editing
 data, indel rates, and off-target editing for two mouse models. ### Files
 and variables #### File: PEeVLP_Fig5_numeric_data.xlsx
 **Description:** Source data **Sheet Fig5c** Precise editing rates by NGS
 and insertion/deletion rates (indel) for treated rd6 mice vs non-treated
 rd6 mice **Sheet Fig5f** Total editing rates for on-target and off-target
 sites 1 through 10 (OT1-10) for treated rd6 mice vs non-treated rd6 mice
 **Sheet Fig 5g** Total indel rates for on-target and off-target sites 1
 through 10 (OT1-10) for treated rd6 mice vs non-treated rd6 mice **Sheet
 Fig 5ijl** Precise editing rates by NGS and insertion/deletion rates
 (indel) for treated rd12 mice vs non-treated rd12 mice Electroretinography
 (ERG) quantification (in microvolts, µV) of a- and b-waves for
 light-invoked stimuli for treated rd12 mice vs non-treated rd12 mice
 **Sheet Fig 5m** Electroretinography (ERG) traces (time versus amplitude,
 microseconds vs nanovolts) for light-invoked stimuli for treated rd12 mice
 vs non-treated rd12 mice vs WT mice **ED Fig 10** Total editing rates for
 on-target and off-target sites 1 through 10 (OT1-10) for treated rd12 mice
 vs non-treated rd12 mice Total indel rates for on-target and off-target
 sites 1 through 10 (OT1-10) for treated rd12 mice vs non-treated rd12 mice
 ## Access information Other publicly accessible location of the data: *
 NGS at NCBI:
 [https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA980181](https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA980181)
DOI: 10.15468/dl.2uy5cj
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liparia splendens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 136 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004472-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne9h5c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhopalura intoshi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004471-260126135527185/datasets/export for details.
DOI: 10.5281/zenodo.18408041
title: SuperDARN data in netCDF format (2007-Feb)

description: 2007-Feb SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5061/dryad.80gb5mm35
title: Dynamic snow surface aerodynamic roughness lengths (z0) characterized by snow depths using LIDAR

description: A shallow, seasonal snowpack is rarely homogeneous in depth, layer
 characteristics, or surface structure throughout an entire winter.
 Aerodynamic roughness length (z0) is typically considered a static
 parameter within hydrologic and atmospheric models. However, observations
 have shown that z0 is a dynamic variable, necessitating accurate spatial
 and temporal measurements of z0. Terrestrial LiDAR data were collected at
 nine different study sites in northwest Colorado from the 2019-2020 winter
 season to observe variability of the snowpack surface. Geometric z0 and
 snow depth (ds) observation over 112 site visits illustrated a change in
 z0 as a function of ds. Values of z0 decrease during initial snow
 accumulation, as the snow conforms to the underlying terrain. Once the
 snowpack is sufficiently deep, which depends on the height of the ground
 surface roughness features, the surface becomes more uniform. As melt
 begins, z0 increases, when the snow surface becomes more irregular. The
 correlation varied spatially and temporally though; it was
 obscured by snowpack surface modifications, such as the presence of
 vegetation, anthropogenic or ecologic influence. The rate of
 change in the z0 versus ds correlation was almost constant,
 regardless of the initial roughness conditions that only affected the
 initial z0.
description: # Dynamic snow surface aerodynamic roughness lengths (z0) characterized by
 snow depths using LIDAR Dataset DOI:
 [10.5061/dryad.80gb5mm35](10.5061/dryad.80gb5mm35) ## Description of the
 data and file structure Data are point clouds of the Area of Interest
 (AOI) throughout the 2019-2020 winter season of 9 field sites. The
 accompanied excel sheet describes the site visit information and the
 associated label to each point cloud. ## Code/software Point clouds were
 built and modified in Cloud Compare ([CloudCompare - Open Source
 project) . ](https://www.cloudcompare.org/)However, any software that
 allows the use of point clouds should work with the data. Data are in
 .dat, but will need to be converted to .txt to run with Cloud Compare. The
 .dat files are used in the interpolation software
 (https://www.goldensoftware.com/products/surfer/), which were then
 converted to the attached .dat files for use in the MATLAB code described
 in Neville et al., 2025 (https://www.mdpi.com/2072-4292/17/12/1984).  ##
 Access information Other publicly accessible locations of the data: * None
 Data was derived from the following sources: * FARO Focus3D x130 model
DOI: 10.5281/zenodo.6592080
title: SuperDARN data in netCDF format (2007-Feb)

description: 2007-Feb SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5061/dryad.b8gtht78d
title: Prevalence, injury-, and non-injury-related predictors of anxiety and depression in polytrauma patients – A 20 year follow-up study

description: NOTICE: The original data files published with this dataset have been
 removed due to non-compliance with Dryad guidelines for publishing human
 subjects data. Introduction Survival rate after polytrauma increased over
 the past decades resulting in an increase of long-term complications.
 These include physical and psychiatric impairments. The aim of this study
 was to describe the prevalence and risk factors for developing depression
 and anxiety more than twenty years after polytrauma. Methods We contacted
 patients who were treated due to a polytrauma between 1973 and 1990 at one
 level 1 trauma centre after more than 20 years. These patients received a
 self-administered questionnaire, to assess symptoms of depression and
 anxiety. Prediction based on multivariate logistic regression models
 include injury related and non-injury related factors to determine risk
 factors for the development of depression and anxiety. Results Patients
 included in this study (n=337) had a mean ISS of 20.3 (4 to 50) points. In
 total, 173 (51.3%) showed psychiatric complications (depression n=163,
 48.2%; anxiety n=14, 4.1%). The maximum Abbreviated Injury Scale (MAIS)
 for head was predictive for depression (OR 1.5 95%CI 1.1 to 5.4, p =
 0.0445) as was the MAIS for spine (OR 1.7, 95%CI 1.2 to 5.9). MAIS spine
 was also predictive for the development of anxiety (OR 1.4, 95%CI 1.1 to
 5.4, p = 0.0456). Non-injury related risk factors for depression include
 additional insults (OR 6.8, 95%CI 5.3 to 11.7, p = 0.0146); risk factors
 for the development of anxiety include need for psychiatric treatment
 after injury (OR 2.6, 95%CI 2.2 to 11.8, p &lt; 0.001). Conclusion
 More than half of polytrauma patients developed psychiatric complications.
 Risk factors include injuries to the central nervous system, additional
 psychiatric insults, and the need of psychiatric treatment.
description: # Prevalence, injury-, and non-injury-related predictors of anxiety and
 depression in polytrauma patients – A 20 year follow-up study Dataset DOI:
 [10.5061/dryad.b8gtht78d](10.5061/dryad.b8gtht78d) 
 
 **NOTICE**: The original data files published with this dataset have been
 removed due to non-compliance with Dryad guidelines for publishing human
 subjects data. ## Human subjects data (Data has been removed from Dryad
 due to concerns about human-subject information.)
DOI: 10.15468/dl.fjdafy
title: Occurrence Download

description: A dataset containing 85284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perca flavescens",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 85284 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004445-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.as77wq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhopalura litoralis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004474-260126135527185/datasets/export for details.
DOI: 10.15468/dl.sgxn8j
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Listia bainesii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 214 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004473-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.927908
title: Physical oceanography at CTD station 64PE421_55CTD
DOI: 10.1594/pangaea.927965
title: ADCP current measurement at Lander station 64PE437_3
DOI: 10.1594/pangaea.939909
title: Age determination of sediment core SSD004_GC03

description: Here, we reconstructed sea surface temperature (SST) and upwelling intensity record from the northern tropical Indian Ocean for the last glacial termination (8-24 kyr BP). The marine sedimentary archive was collected during forth voyage of ORV Sindhu Sadhana and SST record was reconstructed using Mg/Ca in G. ruber white (sensu stricto). The upwelling intensity was reconstructed using percentage abundance of G. bulloides. The record demonstrates that the northern tropical Ocean began warming well before the increase in the atmospheric carbo dioxide and has potential implications for the strengthening of the AMOC as well as the eventual glacial termination.
DOI: 10.1594/pangaea.76320
title: Total foraminifera counts of trap L3_92_45