cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.90640.v1/t24
title: "Systematic covariance matrix" of "Measurement of the top quark polarization and $\mathrm{t\bar{t}}$ spin correlations using dilepton final states in proton-proton collisions at $\sqrt{s} =$ 13 TeV"

description: Figure 8, systematic covariance matrix for normalized differential cross sections (note, the figure in the paper is for the corresponding correlation matrix)
description: Unfolded normalized differential cross sections for angular observables sensitive to the top quark polarization and $t\bar{t}$ spin correlations measured in dileptonic $t\bar{t}$ events at CMS, and the corresponding extracted coefficients and values of $f_\text{SM}$.

Statistical and systematic covariance matrices are given for all measured bins (or coefficients) together, in the same order as the distributions are given on this page.

Care must be taken in the choice of distributions for simultaneous fitting. When using a simple $\chi^2$ minimization procedure, the statistical uncertainty in the fitted parameter can be reduced by adding to the fit an observable which has little or no sensitivity to the fitted parameter, but which is not independent of the other observables in the fit. This problem can be avoided by requiring the set of fitted observables to be mutually independent. For example, $\cos\theta_{1}^{k}$ and $\cos\theta_{1}^{k*}$ should not be used together, because $|\cos\theta_{1}^{k}|=|\cos\theta_{1}^{k*}|$.
DOI: 10.17182/hepdata.90640.v1/t25
title: "Coefficients" of "Measurement of the top quark polarization and $\mathrm{t\bar{t}}$ spin correlations using dilepton final states in proton-proton collisions at $\sqrt{s} =$ 13 TeV"

description: Table 3, measured coefficients
description: Unfolded normalized differential cross sections for angular observables sensitive to the top quark polarization and $t\bar{t}$ spin correlations measured in dileptonic $t\bar{t}$ events at CMS, and the corresponding extracted coefficients and values of $f_\text{SM}$.

Statistical and systematic covariance matrices are given for all measured bins (or coefficients) together, in the same order as the distributions are given on this page.

Care must be taken in the choice of distributions for simultaneous fitting. When using a simple $\chi^2$ minimization procedure, the statistical uncertainty in the fitted parameter can be reduced by adding to the fit an observable which has little or no sensitivity to the fitted parameter, but which is not independent of the other observables in the fit. This problem can be avoided by requiring the set of fitted observables to be mutually independent. For example, $\cos\theta_{1}^{k}$ and $\cos\theta_{1}^{k*}$ should not be used together, because $|\cos\theta_{1}^{k}|=|\cos\theta_{1}^{k*}|$.
DOI: 10.17182/hepdata.90640.v1/t26
title: "Statistical covariance matrix for coefficients" of "Measurement of the top quark polarization and $\mathrm{t\bar{t}}$ spin correlations using dilepton final states in proton-proton collisions at $\sqrt{s} =$ 13 TeV"

description: Figure 12, statistical covariance matrix for coefficients (note, the figure in the paper is for the corresponding correlation matrix)
description: Unfolded normalized differential cross sections for angular observables sensitive to the top quark polarization and $t\bar{t}$ spin correlations measured in dileptonic $t\bar{t}$ events at CMS, and the corresponding extracted coefficients and values of $f_\text{SM}$.

Statistical and systematic covariance matrices are given for all measured bins (or coefficients) together, in the same order as the distributions are given on this page.

Care must be taken in the choice of distributions for simultaneous fitting. When using a simple $\chi^2$ minimization procedure, the statistical uncertainty in the fitted parameter can be reduced by adding to the fit an observable which has little or no sensitivity to the fitted parameter, but which is not independent of the other observables in the fit. This problem can be avoided by requiring the set of fitted observables to be mutually independent. For example, $\cos\theta_{1}^{k}$ and $\cos\theta_{1}^{k*}$ should not be used together, because $|\cos\theta_{1}^{k}|=|\cos\theta_{1}^{k*}|$.
DOI: 10.17182/hepdata.90640.v1/t27
title: "Systematic covariance matrix for coefficients" of "Measurement of the top quark polarization and $\mathrm{t\bar{t}}$ spin correlations using dilepton final states in proton-proton collisions at $\sqrt{s} =$ 13 TeV"

description: Figure 12, systematic covariance matrix for coefficients (note, the figure in the paper is for the corresponding correlation matrix)
description: Unfolded normalized differential cross sections for angular observables sensitive to the top quark polarization and $t\bar{t}$ spin correlations measured in dileptonic $t\bar{t}$ events at CMS, and the corresponding extracted coefficients and values of $f_\text{SM}$.

Statistical and systematic covariance matrices are given for all measured bins (or coefficients) together, in the same order as the distributions are given on this page.

Care must be taken in the choice of distributions for simultaneous fitting. When using a simple $\chi^2$ minimization procedure, the statistical uncertainty in the fitted parameter can be reduced by adding to the fit an observable which has little or no sensitivity to the fitted parameter, but which is not independent of the other observables in the fit. This problem can be avoided by requiring the set of fitted observables to be mutually independent. For example, $\cos\theta_{1}^{k}$ and $\cos\theta_{1}^{k*}$ should not be used together, because $|\cos\theta_{1}^{k}|=|\cos\theta_{1}^{k*}|$.
DOI: 10.17182/hepdata.90640.v1/t28
title: "Sums and differences of B coefficients" of "Measurement of the top quark polarization and $\mathrm{t\bar{t}}$ spin correlations using dilepton final states in proton-proton collisions at $\sqrt{s} =$ 13 TeV"

description: Table 6, sums and differences of B coefficients
description: Unfolded normalized differential cross sections for angular observables sensitive to the top quark polarization and $t\bar{t}$ spin correlations measured in dileptonic $t\bar{t}$ events at CMS, and the corresponding extracted coefficients and values of $f_\text{SM}$.

Statistical and systematic covariance matrices are given for all measured bins (or coefficients) together, in the same order as the distributions are given on this page.

Care must be taken in the choice of distributions for simultaneous fitting. When using a simple $\chi^2$ minimization procedure, the statistical uncertainty in the fitted parameter can be reduced by adding to the fit an observable which has little or no sensitivity to the fitted parameter, but which is not independent of the other observables in the fit. This problem can be avoided by requiring the set of fitted observables to be mutually independent. For example, $\cos\theta_{1}^{k}$ and $\cos\theta_{1}^{k*}$ should not be used together, because $|\cos\theta_{1}^{k}|=|\cos\theta_{1}^{k*}|$.
DOI: 10.17182/hepdata.90640.v1/t29
title: "$f_\text{SM}$" of "Measurement of the top quark polarization and $\mathrm{t\bar{t}}$ spin correlations using dilepton final states in proton-proton collisions at $\sqrt{s} =$ 13 TeV"

description: Table 7, values of $f_\text{SM}$
description: Unfolded normalized differential cross sections for angular observables sensitive to the top quark polarization and $t\bar{t}$ spin correlations measured in dileptonic $t\bar{t}$ events at CMS, and the corresponding extracted coefficients and values of $f_\text{SM}$.

Statistical and systematic covariance matrices are given for all measured bins (or coefficients) together, in the same order as the distributions are given on this page.

Care must be taken in the choice of distributions for simultaneous fitting. When using a simple $\chi^2$ minimization procedure, the statistical uncertainty in the fitted parameter can be reduced by adding to the fit an observable which has little or no sensitivity to the fitted parameter, but which is not independent of the other observables in the fit. This problem can be avoided by requiring the set of fitted observables to be mutually independent. For example, $\cos\theta_{1}^{k}$ and $\cos\theta_{1}^{k*}$ should not be used together, because $|\cos\theta_{1}^{k}|=|\cos\theta_{1}^{k*}|$.
DOI: 10.5281/zenodo.17329200
title: The African Heritage Digital Archive

description: The African Heritage Digital Archive is an open cultural dataset documenting African food, folktales, proverbs, and historical insights curated by The African Gourmet. Founded by Ivy, this digital archive preserves Africa’s culinary traditions, oral storytelling, and cultural expressions for educational and research use. It includes creative works organized by region and cultural theme, covering topics such as African recipes, folklore, proverbs, and history. This dataset is structured using Schema.org and made openly available to support cultural heritage research, digital humanities, and AI knowledge indexing.
DOI: 10.17632/4748g4y6zm.1
title: Mitochondria-targeted ROS scavenger JP4-039 improves cardiac function in a post myocardial infarction animal model and induces angiogenesis in vitro

description: Data from manuscript named: Mitochondria-targeted ROS scavenger JP4-039 improves cardiac function in a postmyocardial infarction animal model and induces angiogenesis in vitro. 
Data organized in folders by figure number.
DOI: 10.15468/dl.bb7chq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002765-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ibqxj3
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000058-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j72qb2
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habenaria williamsii Schltr."
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236711-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnp5ry
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002820-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stdnka
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017933-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9frq76
title: Occurrence Download

description: A dataset containing 471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "Geometry POLYGON((-76.02175 40.63312,-75.94353 40.61437,-75.94543 40.67724,-75.99751 40.65863,-76.02175 40.63312))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Buteo lagopus (Pontoppidan, 1763)"
 ]
}

 The dataset includes 471 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236717-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhpe8z
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002809-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpnyzl
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000103-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezggvx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((10.947273 42.770383,10.947419 42.769054,10.947455 42.768619,10.945918 42.766618,10.941873 42.753578,10.935783 42.755238,10.932955 42.751194,10.93291 42.751208,10.932821 42.751105,10.927107 42.752781,10.926993 42.75342,10.926981 42.753431,10.92695 42.753659,10.926831 42.754326,10.926333 42.75471,10.925409 42.755015,10.925031 42.755492,10.923324 42.755919,10.921755 42.756018,10.920978 42.75632,10.9205 42.756763,10.918305 42.75727,10.918195 42.757355,10.918102 42.757376,10.917882 42.757546,10.916352 42.757884,10.91245 42.758771,10.907545 42.75987,10.904275 42.76059,10.902273 42.761132,10.901267 42.761227,10.900161 42.761519,10.899265 42.76173,10.898472 42.76186,10.894567 42.762668,10.892561 42.763054,10.892245 42.763013,10.891599 42.763151,10.89155 42.763199,10.890011 42.76613,10.894288 42.768432,10.895601 42.76915,10.896718 42.769695,10.898649 42.770332,10.900246 42.77094,10.901697 42.771479,10.903007 42.772127,10.904128 42.772813,10.91252 42.779824,10.91799 42.784294,10.922211 42.787781,10.923774 42.788847,10.925282 42.789667,10.92702 42.790166,10.929039 42.790519,10.931794 42.790667,10.934234 42.790696,10.935857 42.790598,10.937474 42.790289,10.939086 42.789839,10.940695 42.789283,10.941927 42.788945,10.942783 42.78879,10.943387 42.788739,10.943299 42.787356,10.943339 42.787066,10.943915 42.786621,10.946078 42.785064,10.946209 42.784518,10.946832 42.784037,10.948058 42.782351,10.948575 42.781618,10.949096 42.780993,10.949272 42.78101,10.94965 42.780933,10.949893 42.780953,10.949998 42.780912,10.95041 42.780514,10.95045 42.780083,10.950326 42.779537,10.950053 42.779307,10.950005 42.779284,10.949651 42.778335,10.947238 42.770824,10.947289 42.770434,10.947273 42.770383)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030334-230530130749713/datasets/export for details.
DOI: 10.15468/dl.7mnrre
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyclemys atripons Iverson & Mccord, 1997",
 "Year 2000-2024"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071868-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5nqok
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016941-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rt2dfa
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.30_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Docynia delavayi (Franch.) C.K.Schneid."
 ]
}

 The dataset includes 316 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030367-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5g69zg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((8.626693 39.875388,8.62707 39.875172,8.627919 39.874523,8.628625 39.874381,8.629282 39.874419,8.629657 39.874529,8.630078 39.874856,8.630313 39.87482,8.630596 39.874713,8.631067 39.874497,8.631913 39.874283,8.632617 39.874429,8.632852 39.87443,8.633276 39.874323,8.63445 39.874327,8.635295 39.874329,8.636282 39.874296,8.636799 39.874153,8.638378 39.868729,8.638944 39.868188,8.638098 39.868439,8.637346 39.868473,8.636314 39.868288,8.635093 39.86814,8.633496 39.868135,8.632183 39.867841,8.631104 39.867548,8.630117 39.867545,8.632048 39.86661,8.633322 39.865492,8.634455 39.864446,8.634973 39.864195,8.63634 39.863294,8.635591 39.862857,8.634794 39.862529,8.633481 39.862127,8.632871 39.862089,8.632214 39.86187,8.631885 39.861905,8.631463 39.861759,8.630947 39.861757,8.630666 39.861539,8.62888 39.861859,8.627563 39.862181,8.626621 39.862648,8.626245 39.862756,8.624599 39.86304,8.622859 39.863505,8.621779 39.863538,8.620138 39.863026,8.618685 39.862514,8.618121 39.86244,8.616855 39.86211,8.615962 39.86218,8.614932 39.861597,8.614419 39.861089,8.613852 39.861594,8.613379 39.862135,8.612718 39.862821,8.612154 39.862964,8.611774 39.863686,8.610825 39.865312,8.612466 39.865896,8.613027 39.866368,8.614055 39.86724,8.612363 39.867488,8.611187 39.86781,8.609865 39.869072,8.609298 39.869613,8.610096 39.869761,8.610753 39.869763,8.611599 39.869802,8.612491 39.869805,8.6131 39.87006,8.613357 39.874476,8.614061 39.874623,8.614765 39.874843,8.616217 39.875608,8.617159 39.875104,8.617535 39.875105,8.617723 39.87507,8.618101 39.874673,8.619041 39.874531,8.619746 39.874389,8.62017 39.874209,8.620593 39.87421,8.621297 39.874357,8.621718 39.874576,8.62242 39.875157,8.622936 39.875304,8.62317 39.875377,8.623262 39.875703,8.623402 39.875957,8.623729 39.876211,8.623822 39.876501,8.623679 39.876826,8.624426 39.877697,8.624471 39.878132,8.624373 39.878746,8.62437 39.879289,8.62451 39.879579,8.624367 39.879941,8.626808 39.880202,8.627748 39.880241,8.627936 39.880205,8.629019 39.879702,8.62832 39.87865,8.627251 39.876584,8.626693 39.875388)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030355-230530130749713/datasets/export for details.
DOI: 10.15468/dl.zyu2fb
title: Occurrence Download

description: A dataset containing 1576682453 species occurrences available in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset includes 1576682453 records from 31601 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058323-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/vcffny
title: 1804.TextGrid

description: :unav
DOI: 10.5281/zenodo.12517247
title: Data for Single-Molecule Tip-Enhanced Raman Spectroscopy of C60 on the Si(111)-(7×7) Surface

description: Data for Single-Molecule Tip-Enhanced Raman Spectroscopy of C60 on the Si(111)-(7×7) Surface
DOI: 10.5281/zenodo.12517248
title: Data for Single-Molecule Tip-Enhanced Raman Spectroscopy of C60 on the Si(111)-(7×7) Surface

description: Data for Single-Molecule Tip-Enhanced Raman Spectroscopy of C60 on the Si(111)-(7×7) Surface
DOI: 10.60600/yu/clawet/mzthm7
title: 1828.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/fb6maf
title: 1640.wav

description: :unav
DOI: 10.60600/yu/clawet/1bsnup
title: 1826.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/jglk9c
title: 1683.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/suobln
title: 1801.wav

description: :unav
DOI: 10.60600/yu/clawet/ajicia
title: 1955.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/uzdxho
title: 2028.wav

description: :unav
DOI: 10.5281/zenodo.12525439
title: The dataset of predicting the potential habitat suitability of Saussurea species in China under future climate change using the optimized Maximum Entropy (MaxEnt) model

description: Description:

This dataset accompanies the study on the Saussurea species, renowned for its biodiversity and medicinal significance in high-elevation regions, which faces endangerment due to climate change and human activities. Despite its importance, conservation research on Saussurea has been limited. To address this gap, the study employed the optimized MaxEnt model to simulate Saussurea's habitat suitability and analyze key environmental factors influencing its distribution.

The dataset includes:



Model and Parameter Optimization Code: The code used for optimizing the MaxEnt model parameters, ensuring reproducibility of the habitat suitability models.

Saussurea Distribution Points: Georeferenced points indicating the observed locations of Saussurea species.

Current Environmental Variables: Data on key environmental factors influencing Saussurea distribution, such as Elevation, Isothermality (Bio3), and Temperature Annual Range (Bio7).

Future Environmental Variables: Data on key environmental factors influencing Saussurea distribution under SSP126, SSP245, SSP370 and SSP585 in 2020-2100s.