cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.166218.v1/t2
title: "Figure 2b" of "Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b\bar{b}}τ^+τ^-$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Distribution of the invariant mass of the di-$\tau$ system, reconstructed with the FastMTT algorithm, after the full event selection in the $\ell\tau_{\mathrm{h}}$ channel. The data (solid circles) are compared to the background simulation (filled histograms), where the gray bands represent the total background uncertainty, obtained from the post-fit values of the dominant systematic uncertainties and the statistical uncertainties in the simulated samples. The $X\to HH$ signal simulation (solid red line) is overlaid and normalized to $\sigma(X\to HH)=0.1~\mathrm{pb}$ for illustration. The ratio between the data and the total expected background contribution is shown in the lower panel, where a solid black triangle indicates those bins where the ratio exceeds the axis range.
description: No data abstract available.
DOI: 10.17182/hepdata.166218.v1/t3
title: "Figure 3a" of "Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b\bar{b}}τ^+τ^-$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Distribution of $M_{\mathrm{H}(\mathrm{b}\bar{\mathrm{b}})}$ obtained from the leading AK8 jet in the event after the full event selection for the $\tau_{\mathrm{h}}\tau_{\mathrm{h}}$ channel. The signal-enriched region (SR) is defined as $100 &lt; M_{\mathrm{H}(\mathrm{b}\bar{\mathrm{b}})} &lt; 150\ \mathrm{GeV}$. The sideband (SB) is immediately adjacent to the SR, on either side. The data (solid circles) are compared to the background simulation (filled histograms), where the gray bands represent the total background uncertainty, obtained from the post-fit values of the dominant systematic uncertainties and the statistical uncertainties in the simulated samples. The $X\to HH$ signal simulation (solid red line) is overlaid and normalized to $\sigma(X\to HH)=0.1~\mathrm{pb}$ for illustration. The ratio between the data and the total expected background contribution is shown in the lower panel, where a solid black triangle indicates those bins where the ratio exceeds the axis range.
description: No data abstract available.
DOI: 10.17182/hepdata.166218.v1/t4
title: "Figure 3b" of "Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b\bar{b}}τ^+τ^-$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Distribution of $M_{\mathrm{H}(\mathrm{b}\bar{\mathrm{b}})}$ obtained from the leading AK8 jet in the event after the full event selection for the $\ell\tau_{\mathrm{h}}$ channel. The signal-enriched region (SR) is defined as $100 &lt; M_{\mathrm{H}(\mathrm{b}\bar{\mathrm{b}})} &lt; 150\ \mathrm{GeV}$. The sideband (SB) is immediately adjacent to the SR, on either side. The data (solid circles) are compared to the background simulation (filled histograms), where the gray bands represent the total background uncertainty, obtained from the post-fit values of the dominant systematic uncertainties and the statistical uncertainties in the simulated samples. The $X\to HH$ signal simulation (solid red line) is overlaid and normalized to $\sigma(X\to HH)=0.1~\mathrm{pb}$ for illustration. The ratio between the data and the total expected background contribution is shown in the lower panel, where a solid black triangle indicates those bins where the ratio exceeds the axis range.
description: No data abstract available.
DOI: 10.17182/hepdata.166218.v1/t5
title: "Figure 4a" of "Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b\bar{b}}τ^+τ^-$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Post-fit reconstructed mass distribution of resonance $X$ in the SR after applying all selection criteria, for the sum of the $\tau_{\mathrm{h}}\tau_{\mathrm{h}}$ and $\ell\tau_{\mathrm{h}}$ channels. Minor background contributions are grouped into a single category labeled "Other". Also shown are several signal predictions in dashed colored lines for visualization only. The lower panels show the "Pull" defined as $(\mathrm{Data}-\mathrm{Prediction})/\mathrm{Prediction\ uncertainty}$.
description: No data abstract available.
DOI: 10.17182/hepdata.166218.v1/t8
title: "Figure 5b" of "Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b\bar{b}}τ^+τ^-$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Expected and observed upper limits at 95% CL on the production cross section of resonant HH production for a spin-2 narrow resonance. This calculation assumes SM branching fractions of the H boson as discussed in Sec.1. The observed limits are higher than the expected limits for mass points above 2.5 TeV, primarily because of the excess of events visible in the highest bin of Fig.4 (left).
description: No data abstract available.
DOI: 10.17182/hepdata.166218.v1/t6
title: "Figure 4b" of "Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b\bar{b}}τ^+τ^-$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Post-fit reconstructed mass distribution of resonance $X$ in the SB after applying all selection criteria, for the sum of the $\tau_{\mathrm{h}}\tau_{\mathrm{h}}$ and $\ell\tau_{\mathrm{h}}$ channels. Minor background contributions are grouped into a single category labeled "Other". The lower panels show the "Pull" defined as $(\mathrm{Data}-\mathrm{Prediction})/\mathrm{Prediction\ uncertainty}$.
description: No data abstract available.
DOI: 10.17182/hepdata.166218.v1/t7
title: "Figure 5a" of "Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b\bar{b}}τ^+τ^-$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Expected and observed upper limits at 95% CL on the production cross section of resonant HH production for a spin-0 narrow resonance. This calculation assumes SM branching fractions of the H boson as discussed in Sec.1. The observed limits are higher than the expected limits for mass points above 2.5 TeV, primarily because of the excess of events visible in the highest bin of Fig.4 (left).
description: No data abstract available.
DOI: 10.17632/7v2tk8h3dm
title: Prediction of Bedload Transport Rates in Flows with and without Aquatic Vegetation

description: Data set for "Prediction of Bedload Transport Rates in Flows with and without Aquatic Vegetation",a model of qs in vegetated flows was generated by incorporating dimensionless vegetation density parameter (φ) into the model of qs in bare beds. The relevant parameters of the two models for bare and vegetated beds are provided in detail and are easy to apply.
DOI: 10.17632/7v2tk8h3dm.1
title: Prediction of Bedload Transport Rates in Flows with and without Aquatic Vegetation

description: Data set for "Prediction of Bedload Transport Rates in Flows with and without Aquatic Vegetation",a model of qs in vegetated flows was generated by incorporating dimensionless vegetation density parameter (φ) into the model of qs in bare beds. The relevant parameters of the two models for bare and vegetated beds are provided in detail and are easy to apply.
DOI: 10.17632/5sphf5c592
title: Multi-source dataset of NO2 and PM from mobile and fixed sensors in Rouen (France)

description: This dataset, compiled by Atmo Normandie, the organization responsible for air quality monitoring in Normandy (France), contains air pollution measurements collected in the city of Rouen between January 15 and November 30, 2025. It focuses on particulate matter (PM10 and PM2.5) and nitrogen dioxide (NO2) and combines data from reference-grade instruments and low-cost sensor technologies.
- Six fixed reference monitoring stations provide high-quality measurements every 15 minutes. Three stations represent urban background conditions (CHS, JUS, PQV), while three are located in traffic-influenced environments (QDP, RPV, SUD3). All reference measurements are expressed in µg/m³ and serve as a benchmark for air quality assessment.
- Eighteen AirSensEUR sensors are installed on traffic lights across the city and record measurements approximately every minute. Besides PM and gas concentrations, these sensors measure meteorological variables such as temperature, relative humidity, and atmospheric pressure. Gas measurements (NO, NO2, Ox, CO) are expressed in µV. For all AirSensEUR data, validity flags indicate whether the data are raw (B), missing (N), or invalidated (I).
- In addition, the dataset includes measurements from low-cost sensors. Ten AtmoTrack sensors are mounted on public buses, producing highly resolved mobile measurements every 10 seconds, along with GPS position, bus speed, and basic meteorological parameters. Two additional AtmoTrack sensors are fixed at the QDP station and record data every 5 minutes. These sensors also provide particle number counts for several size thresholds between 0.3 µm and 10 µm.
The dataset is distributed across 68 CSV files organized into four main categories. 
The ‘coordinates.csv’ file provides the geographical coordinates (WGS84) of all fixed devices. 
The ‘reference_measures.csv’ file centralises the measurements from the reference stations, with a time column and columns identified by station and pollutant.
The data from the AirSensEUR sensors is divided into 54 'ASE' files, organised by sensor and type of measurement: particulate matter (PM), gases (GAS) or meteorology (MTO). Each file contains the timestamp, the measured values and validity indicators specifying whether the data is raw (B), missing (N) or invalidated (I).
Finally, twelve ‘ATM’ files contain measurements from AtmoTrack sensors. They include concentrations of PM2.5, PM10 and NO2, meteorological parameters, vehicle speed and GPS coordinates for mobile sensors, and particle counts (number of particles exceeding the specified size).
Finally, it is noted that measurements from June 27 at the QDP station, including those from the two fixed AtmoTrack sensors, are anomalous due to a probable power outage. The entire day’s data for these devices should therefore be considered invalid.
DOI: 10.17632/5sphf5c592.1
title: Multi-source dataset of NO2 and PM from mobile and fixed sensors in Rouen (France)

description: This dataset, compiled by Atmo Normandie, the organization responsible for air quality monitoring in Normandy (France), contains air pollution measurements collected in the city of Rouen between January 15 and November 30, 2025. It focuses on particulate matter (PM10 and PM2.5) and nitrogen dioxide (NO2) and combines data from reference-grade instruments and low-cost sensor technologies.
- Six fixed reference monitoring stations provide high-quality measurements every 15 minutes. Three stations represent urban background conditions (CHS, JUS, PQV), while three are located in traffic-influenced environments (QDP, RPV, SUD3). All reference measurements are expressed in µg/m³ and serve as a benchmark for air quality assessment.
- Eighteen AirSensEUR sensors are installed on traffic lights across the city and record measurements approximately every minute. Besides PM and gas concentrations, these sensors measure meteorological variables such as temperature, relative humidity, and atmospheric pressure. Gas measurements (NO, NO2, Ox, CO) are expressed in µV. For all AirSensEUR data, validity flags indicate whether the data are raw (B), missing (N), or invalidated (I).
- In addition, the dataset includes measurements from low-cost sensors. Ten AtmoTrack sensors are mounted on public buses, producing highly resolved mobile measurements every 10 seconds, along with GPS position, bus speed, and basic meteorological parameters. Two additional AtmoTrack sensors are fixed at the QDP station and record data every 5 minutes. These sensors also provide particle number counts for several size thresholds between 0.3 µm and 10 µm.
The dataset is distributed across 68 CSV files organized into four main categories. 
The ‘coordinates.csv’ file provides the geographical coordinates (WGS84) of all fixed devices. 
The ‘reference_measures.csv’ file centralises the measurements from the reference stations, with a time column and columns identified by station and pollutant.
The data from the AirSensEUR sensors is divided into 54 'ASE' files, organised by sensor and type of measurement: particulate matter (PM), gases (GAS) or meteorology (MTO). Each file contains the timestamp, the measured values and validity indicators specifying whether the data is raw (B), missing (N) or invalidated (I).
Finally, twelve ‘ATM’ files contain measurements from AtmoTrack sensors. They include concentrations of PM2.5, PM10 and NO2, meteorological parameters, vehicle speed and GPS coordinates for mobile sensors, and particle counts (number of particles exceeding the specified size).
Finally, it is noted that measurements from June 27 at the QDP station, including those from the two fixed AtmoTrack sensors, are anomalous due to a probable power outage. The entire day’s data for these devices should therefore be considered invalid.
DOI: 10.15468/dl.gcn772
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aedes albifasciatus",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 198 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000024-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aug54x
title: Occurrence Download

description: A dataset containing 153075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34 34, 34 75, -15 75, -15 34, 34 34))",
 "SpeciesKey is one of (Bombus hypnorum, Bombus sylvestris, Bombus laesus, Bombus, Bombus variabilis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 153075 records from 400 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005906-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nk7ypk
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Soil and Epiphytic Algae and Cyanobacteria of Southern Taiga Forests in the \"Koygorodsky\" National Park (Komi Republic, Russia)"
 ]
}

 The dataset includes 77 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000025-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhdugq
title: Occurrence Download

description: A dataset containing 13063824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Podicipediformes, Procellariiformes, Pelecaniformes, Anseriformes, Ciconiiformes, Gruiformes, Charadriiformes, Gaviiformes)",
 "Year 2022-2022"
 ]
}

 The dataset includes 13063824 records from 1419 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000002-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/lrnlzv
title: Binary dataset

description: Different binary classification datasets from LIBSVM repository.
DOI: 10.7910/dvn/tam9g4
title: Does Doing an Apprenticeship Pay Off? Evidence from Ghana
DOI: 10.7910/dvn/tby83v
title: Wright Files I-Z Edited; Docketed Case: 81-2224
DOI: 10.7910/dvn/xgm3st
title: Thirty-day mortality among patients with acute delirium in the emergency department

description: a prospective cohort study in the ED of a tertiary care and university hospital. Patients over the age of 65 years who presented to the ED were included in the study. Our primary objective was to determine the 30-day mortality outcome between older patients with and without acute delirium.
DOI: 10.7910/dvn/eitgbb
title: ACSS (AICTE Centralized Support System) Data Set
title: Human-recorded labeled dataset about technical education

description: This fine-grained labeled dataset, consisting of 11,115 records, is marked with three types of labels, including 7 categories, 14 modules, and 42 nature-wise labeled data.
This labeled dataset will play a crucial role in machine learning, this dataset would be used in sentiment analysis, natural language processing, and other machine learning models.
DOI: 10.7910/dvn/ersd34
title: Petition of Oaks A. Coombs

description: &lt;p&gt;Petition subject: Support for individuals &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13448046"&gt;http://nrs.harvard.edu/urn-3:FHCL:13448046&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1847-01 &lt;/p&gt; &lt;p&gt;Petition location: Mashpee &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Thomas B. Lewis, Barnstable; committee on claims &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Oaks A. Coombs&lt;/li&gt;&lt;li&gt;Ebenezer Attaquin&lt;/li&gt;&lt;li&gt;Nathan Pocknet&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1847-02-11,1847-02-12 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 11, 1847 and referred to the committee on claims and sent for concurrence and received in the Senate on February 12, 1847 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 3.0 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, sent, received, concurred &lt;/p&gt; &lt;p&gt;Males of color signatures: 3.0 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: selectmen and overseers of the poor of the District of Marshpee, [males of color] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Native American tribe: Mashpee &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: number of poor persons, no legal settlement, assistance, state pauper, accounts, expenses, supplies, income, taxation, schools, school fund, nursery for state paupers, no public poorhouse, Indian guardians, special law, Barnstable, oath, Josiah Sampson, justice of the peace, certification, Charles Marston, commissioner and treasurer of the district of Marshpee, John Odiorne, Mercy Odiorne, Ephraim Jerrett, James Wells, Martha Summons, Abraham Jackson, Betsey Amos, William Carter, Herring Pond, Guinea, Boston harbor, robbed by his captain, the master of the vessel, some 60 years ago, commissioner and treasurer of Herring Pond plantation an Indian territory in Plymouth and Sandwich &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Resolves 1847, c.23, passed March 20, 1847 &lt;/p&gt;
DOI: 10.7910/dvn/gf2ndc
title: Replication data for: Where's the Party?: Mass Opinion and Party Positions on Immigration and Trade

description: In this work, I consider public opinion and political party alignments toward immigration and trade in the United States. Despite the rising number of immigrants and the expanding volume of trade in the past several decades, the public remains skeptical of both trends. Moreover, even as partisan divisions in Congress deepen, there is little evidence of polarization at the mass level. I explore these developments by first analyzing congressional votes on the issues since the Civil War. In particular, I note how party alignments have shifted, and that Republicans are now more likely to support free trade, while Democrats are more likely to support fewer restrictions on immigration. Next, I demonstrate that polarization has in fact increased in Congress in recent years, despite public opinion surveys showing that this change has not impacted mass level attitudes. Drawing on previous distinctions in the literature, I suggest that the multidimensional nature of the issues is a contributor to this mass-elite divergence. In general, Democrats seem to be more concerned with the economic dimension of immigration, while Republicans are more concerned with its cultural impact. I
solationist attitudes are a more relevant predictor of Republicans' preferences toward trade, but economic concerns are once again paramount for Democrats. Even though identifiers of both parties share similar views about the overall level of immigration and trade, they arrive at their preferences by somewhat different processes.
description: Subject: STANDARD DEPOSIT TERMS 1.0 Type: DATAPASS:TERMS:STANDARD:1.0 Notes: This study was deposited under the of the Data-PASS standard deposit terms. A copy of the usage agreement is included in the file section of this study.;
DOI: 10.7910/dvn/od71tq
title: LVEF Ai vs Human vs CMR

description: Submission for Review
DOI: 10.7910/dvn/qgmhhq
title: The impact of state television on voter turnout

description: September 1., 2016

REPLICATION FILES FOR «THE IMPACT OF STATE TELEVISION ON VOTER TURNOUT», TO BE PUBLISHED BY THE BRITISH JOURNAL OF POLITICAL SCIENCE
The replication files consist of two datasets and corresponding STATA do-files. Please note the following:

1. The data used in the current microanalysis are based on the National Election Surveys of 1965, 1969, and 1973. The Institute of Social Research (ISF) was responsible for the original studies, and data was made available by the NSD (Norwegian Center for Research Data). Neither ISF nor NSD are responsible for the analyses/interpretations of the data presented here. 
2. Some of the data used in the municipality-level analyses are taken from NSD’s local government database (“Kommunedatabasen”). The NSD is not responsible for the analysis presented here or the interpretation offered in the BJPS-paper.
3. Note the municipality identification has been anonymized to avoid identification of individual respondents.
4. Most of the analyses generate Word-files that are produced by the outreg2 facility in STATA. These tables can be compared with those presented in the paper. The graphs are directly comparable to those in the paper. In a few cases, the results are only generated in the STATA output window.

The paper employs two sets of data:
I. Municipal level data in entered in STATA-format (AggregateReplicationTVData.dta), and with a corresponding data with map coordinates (muncoord.dta). The STATA code is in a do-file (ReplicationOfAggregateAnalysis.do).
II. The survey data is in a STATA-file (ReplicationofIndividualLevelPanel.dta) and a with a corresponding do-file (ReplicationOfIndividualLevelAnalysis 25.08.2016.do).

Please remember to change the file reference (i.e. use-statement) to execute the do-files.