cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kam4se
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinotaenium (Nägeli) Teiling, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055337-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15653353
title: Analysis of Variables and Trends Associated with Biomass Estimation in Cereal Crops: A Systematic Literature Review
DOI: 10.5281/zenodo.15653352
title: Analysis of Variables and Trends Associated with Biomass Estimation in Cereal Crops: A Systematic Literature Review
DOI: 10.25934/pr00011466
title: Vivli Data Challenge 2025 - Nachtrab

description: For the purpose of participating in the Vivli AMR 2025 challenge in the context of a student internship at imperial college with prof Leonid Chindelevitch, we aim to research the phenotype/genotype link with a view on potentially shortening identification times by bypassing the sequencing step, improving patient outcomes, and as a result reduce the usage of broad spectrum treatments administered in cases of sepsis, helping prevent the creation and spread of resistant strains. 

The data will also be used to explore various machine learning models and techniques, and their applications to predicting resistance profiles and strain evolution based on both pheno- and geno- typic data, with the aim of being able to improve understanding of the process of resistance acquisition, both its rate as well as its most important factors, with the goal of better informing prevention techniques and predicting potential future resistances.
DOI: 10.15468/dl.w7qecm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinotaenium (Nägeli) Teiling, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055338-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15170806
title: Planet-to-star radius ratios measured with TESS-Gaia Light Curves.

description: TGLC Transit Fit Summary

This directory contains the script and results from fitting TGLC light curves using the exoplanet package.

• The .dat files contain results from transit fits for stars observed in different TESS sectors. These targets are known planets discovered by TESS or Kepler. Each row corresponds to one TESS sector and includes key parameters from the transit model.

• xo_TransitFitMultiInstrument_New.py — Python script used to fit the TGLC light curves.

• PS*.csv files are taken from the NASA Exoplanet Archive. For TESS, we removed planets/publications not selected in our sample and renamed the Planet System table to the PS_reduced.csv

• table*.csv files are machine-readable tables for tables in the appendix. 

 

Columns of deviation*.dat files:






Star_sector



Tmag



rhat



p



pl_ratror



pl_ratrorerr1



pl_ratrorerr2



value



err1



err2





TIC_16005254_43



13.2239



1.0



3.792622



0.159



0.005



-0.006



0.170849



0.0048251



-0.0051914





 





Star_sector: Identifier combining the TIC ID and TESS observing sector (e.g., TIC_16005254_43 refers to TIC 16005254 observed in Sector 43).




Tmag: TESS-band magnitude of the host star.




rhat: Gelman–Rubin statistic (R̂) indicating MCMC convergence; values close to 1.0 suggest good convergence.




p: Orbital period of the planet, in days.




pl_ratror: Planet-to-star radius ratio (Rp/R★) from the literature.




pl_ratrorerr1: Positive uncertainty on pl_ratror.




pl_ratrorerr2: Negative uncertainty on pl_ratror.




value: Planet-to-star radius ratio (Rp/R★) derived from the TGLC fit.




err1: Positive uncertainty on value.




err2: Negative uncertainty on value.



Plotting scripts:

The plotting scripts (figure_1_and_2.py and figure_3.py) can be used to reproduce the published figures with the provided data files. It is required to run the first script to produce another pickle file used by the second script to make figure 3.
DOI: 10.5281/zenodo.15693253
title: Planet-to-star radius ratios measured with TESS-Gaia Light Curves.

description: TGLC Transit Fit Summary

This directory contains the script and results from fitting TGLC light curves using the exoplanet package.

• The .dat files contain results from transit fits for stars observed in different TESS sectors. These targets are known planets discovered by TESS or Kepler. Each row corresponds to one TESS sector and includes key parameters from the transit model.

• xo_TransitFitMultiInstrument_New.py — Python script used to fit the TGLC light curves.

• PS*.csv files are taken from the NASA Exoplanet Archive. For TESS, we removed planets/publications not selected in our sample and renamed the Planet System table to the PS_reduced.csv

• table*.csv files are machine-readable tables for tables in the appendix. 

 

Columns of deviation*.dat files:






Star_sector



Tmag



rhat



p



pl_ratror



pl_ratrorerr1



pl_ratrorerr2



value



err1



err2





TIC_16005254_43



13.2239



1.0



3.792622



0.159



0.005



-0.006



0.170849



0.0048251



-0.0051914





 





Star_sector: Identifier combining the TIC ID and TESS observing sector (e.g., TIC_16005254_43 refers to TIC 16005254 observed in Sector 43).




Tmag: TESS-band magnitude of the host star.




rhat: Gelman–Rubin statistic (R̂) indicating MCMC convergence; values close to 1.0 suggest good convergence.




p: Orbital period of the planet, in days.




pl_ratror: Planet-to-star radius ratio (Rp/R★) from the literature.




pl_ratrorerr1: Positive uncertainty on pl_ratror.




pl_ratrorerr2: Negative uncertainty on pl_ratror.




value: Planet-to-star radius ratio (Rp/R★) derived from the TGLC fit.




err1: Positive uncertainty on value.




err2: Negative uncertainty on value.



Plotting scripts:

The plotting scripts (figure_1_and_2.py and figure_3.py) can be used to reproduce the published figures with the provided data files. It is required to run the first script to produce another pickle file used by the second script to make figure 3.
DOI: 10.5065/m1xr-1v29
title: ICARUS Chamber Experiment: 2014 FIXCIT Study_20140110_ALPHA-PINENE/hydrogen peroxide_Hydroxyl radical_No Seed_Alpha-pinene + OH, low NO, dry, (NH4)2SO4 seed at end

description: Goals: To observe the low NOx oxidation products from OH + alpha-pinene for comparison to signals which were observed during the SOAS field campaign. Major first generation products should include the hydroxy hydroperoxide of alpha pinene, and pinonaldehyde.Summary: The experiment appeared to go well. There was a bit of a SNAFU at the beginning, as it was realized that the chamber exhaust line was still connected about 2-3 minutes after the addition of the alpha-pinene had been started. It was disconnected at this point, however, some of the alpha-pinene may have been lost to the exhaust. However, observations after the alpha-pinene addition was complete and before adding the H2O2, (PTRMS reported 28 ppbv levels of alpha-pinene and CRM OHR reported ~50 s^-1 OH reactivity) implied little of the alpha-pinene was lost to the exhaust. Thus, the experiment proceeded as planned. Particle nucleation was observed after about 1.5 hours of oxidation by the AMS. Peak organic aerosol levels of 25 ug/m^3 were reached after about 3 hours of oxidation. After ~5 hours of oxidation the lights were turned off, and ammonium sulfate seeds were added to the bag. This caused an increase in OA observed by the AMS.Organization: 2014 FIXCIT Study Lab Affiliation: California Institute of Technology Chamber: Seinfeld chambersExperiment Category: Gas phase chemical reaction Oxidant: Hydroxyl radical Reactants: ALPHA-PINENE, hydrogen peroxide Reaction Type: Photooxidation Relative Humidity: 5 Temperature: 27 Pressure: 755
DOI: 10.5281/zenodo.15693166
title: LakePulse Lake and Watershed Data

description: Lake and watershed data for 664 lakes sampled by the NSERC Canadian Lake Pulse Network (LakePulse) between 2017–2019. Lakes are identified by unique identifiers stored in variable lakepulse_id. Variable units and descriptions are provided in the second spreadsheet of the file.

Please be advised that an official version of the LakePulse dataset is available at https://doi.org/10.25976/sd85-ov48.
DOI: 10.5281/zenodo.15693167
title: LakePulse Lake and Watershed Data

description: Lake and watershed data for 664 lakes sampled by the NSERC Canadian Lake Pulse Network (LakePulse) between 2017–2019. Lakes are identified by unique identifiers stored in variable lakepulse_id. Variable units and descriptions are provided in the second spreadsheet of the file.

Please be advised that an official version of the LakePulse dataset is available at https://doi.org/10.25976/sd85-ov48.
DOI: 10.15468/dl.kjmyj4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinotaenium (Nägeli) Teiling, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055339-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29361212
title: Sample data

description: Analytical data from the 1764 and 1958 maps of Malacca.
DOI: 10.6084/m9.figshare.29361212.v1
title: Sample data

description: Analytical data from the 1764 and 1958 maps of Malacca.
DOI: 10.15468/dl.g5q2yz
title: Occurrence Download

description: A dataset containing 1403 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guettarda scabra (L.) Vent."
 ]
}

 The dataset includes 1403 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055340-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppg5sh
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lagidium viscacia (Molina, 1782)",
 "Year 2020-2020"
 ]
}

 The dataset includes 348 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055341-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57931/2569721
title: MSD CoP Webinar: Energy and AI

description: Context:
This webinar was hosted by the MultiSector Dynamics Community of Practice (MSD CoP; https://multisectordynamics.org).  
Abstract:
Projections of the need for new data centers to support Artificial Intelligence (AI) are large but highly uncertain. Recent projections indicate up to a 15% annual growth rate in data center electricity demand within the next 5-10 years. Given that most electric utilities are required to have a reserve margin of roughly the same magnitude as the projected growth in demand, these new data center loads could soon threaten resource adequacy and reliability unless data centers build their own generation, interruptible loads are negotiated, commensurate new capacity and/or transmission is built, or some combination of these options. Similarly, depending on the cooling technology and geographic location of new data centers, they could threaten water adequacy in water scarce regions. This webinar will provide an overview of the interactions between energy and AI and highlight two MSD projects exploring the grid and water implications of new data centers to support AI. 
Presenters : Dr. Casey Burleyson (Pacific Northwest National Laboratory); Dr. Stephanie Morris (Pacific Northwest National Laboratory); Kendall Mongird (Pacific Northwest National Laboratory)
Moderator: Patrick M. Reed (MSD CoP Facilitation Team)
This webinar was held on:  June 16th, 2025 from 1-2 PM EST.
DOI: 10.15468/dl.rwxkmy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinotaenium (Nägeli) Teiling, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055342-250525065834625/datasets/export for details.
DOI: 10.15468/dl.asuwke
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinotaenium (Nägeli) Teiling, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055343-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15691083
title: Supporting Data for: "Entanglement in Resonance Fluorescence"

description: Supporting data for the manuscript "Entanglement in Resonance Fluorescence" [npj Nanophotonics 1, 3 (2024)]. 

The files contain the data used to generate the figures shown in the manuscript. 

This research was funded in whole or in part by the Polish National Science Center (NCN) 'Sonatina' Project Caramel with Number 2021/40/C/ST2/00155.
DOI: 10.5281/zenodo.15691084
title: Supporting Data for: "Entanglement in Resonance Fluorescence"

description: Supporting data for the manuscript "Entanglement in Resonance Fluorescence" [npj Nanophotonics 1, 3 (2024)]. 

The files contain the data used to generate the figures shown in the manuscript. 

This research was funded in whole or in part by the Polish National Science Center (NCN) 'Sonatina' Project Caramel with Number 2021/40/C/ST2/00155.
DOI: 10.34740/kaggle/dsv/12210713
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.dmfad3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinotaenium (Nägeli) Teiling, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055344-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15693430
title: Chatverläufe mit automatischen Textgeneratoren

description: Dokumentation von Chatverläufen mit automatischen Textgeneratoren.
DOI: 10.5281/zenodo.15693431
title: Chatverläufe mit automatischen Textgeneratoren

description: Dokumentation von Chatverläufen mit automatischen Textgeneratoren.
DOI: 10.15468/dl.bbs4dj
title: Occurrence Download

description: A dataset containing 29921 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dicentra peregrina (Rudolph) Makino, Corydalis magadanica A.P.Khokhr., Persicaria bistorta (L.) Samp., Primula cuneifolia Ledeb., Primula mazurenkoae A.P.Khokhr.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 29921 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055345-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dykjkv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinotaenium (Nägeli) Teiling, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055346-250525065834625/datasets/export for details.
DOI: 10.3886/icpsr03696.v3
title: CBS News/New York Times Monthly Poll #2, May 2002
title: Version 3

description: This poll is part of a continuing series of monthly surveys
that solicit public opinion on the presidency and on a range of other
political and social issues. Respondents were asked to give their
opinions of President George W. Bush and his handling of the
presidency, the campaign against terrorism, foreign policy, and
international crises. They also expressed their opinions on the
Federal Bureau of Investigation and the Central Intelligence Agency
and answered a series of questions on the terrorist attacks of
September 11, 2001. Respondents were asked whether information the
intelligence agencies might have held before September 11, 2001, could
have prevented the terrorist attacks, how much influence and
responsibility the President had with regard to terrorism, and
Congress's hearings investigating the Bush administration's prior
knowledge of the attacks. Those queried also presented their views on
what the White House knew prior to September 11, 2001, about possible
terrorist attacks and government-issued warnings. Background
information includes respondents' political affiliation, marital
status, income, religion, education, age, race, and gender.
description: A variation of random-digit dialing using primary sampling
units (PSUs) was employed, consisting of blocks of 100 telephone
numbers identical through the eighth digit and stratified by
geographic region, area code, and size of place. Within households,
respondents were selected using a method developed by Leslie Kish and
modified by Charles Backstrom and Gerald Hursh (see Backstrom and
Hursh, SURVEY RESEARCH [Evanston, IL: Northwestern University Press,
1963]).
description: Datasets: 
DS1: CBS News/New York Times Monthly Poll #2, May 2002
description: Adult population of the United States aged 18 and over
having telephones at home.
description: This collection has not been processed by ICPSR
staff. ICPSR is distributing the data and documentation for this
collection in essentially the same form in which they were received.
When appropriate, documentation has been converted to Portable
Document Format (PDF), data files have been converted to
non-platform-specific formats, and variables have been recoded to
ensure respondents' anonymity.The ASCII data file may have been replaced if the previous version was formatted with multiple records per case. A frequency file, which contains the authoritative column locations, has been added to the collection.
DOI: 10.3886/icpsr03696
title: CBS News/New York Times Monthly Poll #2, May 2002
title: Archival Version

description: This poll is part of a continuing series of monthly surveys
that solicit public opinion on the presidency and on a range of other
political and social issues. Respondents were asked to give their
opinions of President George W. Bush and his handling of the
presidency, the campaign against terrorism, foreign policy, and
international crises. They also expressed their opinions on the
Federal Bureau of Investigation and the Central Intelligence Agency
and answered a series of questions on the terrorist attacks of
September 11, 2001. Respondents were asked whether information the
intelligence agencies might have held before September 11, 2001, could
have prevented the terrorist attacks, how much influence and
responsibility the President had with regard to terrorism, and
Congress's hearings investigating the Bush administration's prior
knowledge of the attacks. Those queried also presented their views on
what the White House knew prior to September 11, 2001, about possible
terrorist attacks and government-issued warnings. Background
information includes respondents' political affiliation, marital
status, income, religion, education, age, race, and gender.
description: A variation of random-digit dialing using primary sampling
units (PSUs) was employed, consisting of blocks of 100 telephone
numbers identical through the eighth digit and stratified by
geographic region, area code, and size of place. Within households,
respondents were selected using a method developed by Leslie Kish and
modified by Charles Backstrom and Gerald Hursh (see Backstrom and
Hursh, SURVEY RESEARCH [Evanston, IL: Northwestern University Press,
1963]).
description: Datasets: 
DS1: CBS News/New York Times Monthly Poll #2, May 2002
description: Adult population of the United States aged 18 and over
having telephones at home.
description: This collection has not been processed by ICPSR
staff. ICPSR is distributing the data and documentation for this
collection in essentially the same form in which they were received.
When appropriate, documentation has been converted to Portable
Document Format (PDF), data files have been converted to
non-platform-specific formats, and variables have been recoded to
ensure respondents' anonymity.The ASCII data file may have been replaced if the previous version was formatted with multiple records per case. A frequency file, which contains the authoritative column locations, has been added to the collection.