cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25716/gude.0k63-r5xy
title: Bound-state formation and thermalization within the Lindblad approach
title: Research Data

description: The Lindblad master equation is a frequently used Markovian approach to describe open quantum systems in terms of the temporal evolution of a reduced density matrix. Here, the thermal environ- ment is traced out to obtain an expression to describe the evolution of what is called a system: one particle or a chain of interacting particles, which is/are surrounded by a thermal heat bath. In this work, we investigate the formation of non-relativistic bound states, involving the P¨oschl- Teller potential, in order to discuss the formation time and the thermal equilibrium, applying scales from nuclear physics. This problem is borrowed from the field of heavy-ion collisions, where the deuteron is a probe which is measured at temperature regimes around the chemical freeze out temperature, while the deuteron itself has a binding energy which is much lower. This is known and often described as a “snowball in hell”. We use a reformulated Lindblad equation, in terms of a diffusion-advection equation with sources and therefore provide a hydrodynamical formulation of a dissipative quantum master equation
DOI: 10.5281/zenodo.13904008
title: Automated MESSENGER Plasma Region Classifications via Unsupervised Transfer Learning

description: This file contains the 1-minute resolution dataset (“labeled_sunside_data.csv”) for Toy-Edens et al.’s Automated Classification of MESSENGER Plasma Observations via Unsupervised Transfer Learning. The 1-minute resolution file contains the rolled up 1-minute epoch, features that go into clustering and post-cleaning methods, spacecraft positions (in MSO), raw and cleaned clustering labels, and raw and cleaned transition name.

We ask that if you use any parts of the dataset that you cite Toy-Edens et al.’s Automated Classification of MESSENGER Plasma Observations via Unsupervised Transfer Learning (DOI to be created).

This work was supported by NASA grants 80NSSC19K0789 and 80NSSC22K0993.

 

The following tables detail the contents of the described files:

labeled_sunside_data.csv description






Column Name



Description





 Epoch



Epoch in datetime (YYYY-MM-DD HH:MM:SS)





 x_mso



x position of the spacecraft in MSO [km]





 y_mso



y position of the spacecraft in MSO [km]





 z_mso



z position of the spacecraft in MSO [km]





 norm_Btot



Magnitude of the total magnetic field normalized to 150nT. See paper for more information





 ratio_max_width



Ratio of the width of the most prominent ion spectra peak (in number of energy channels) to max number of energy channels. See paper for more information





 ratio_high_low



Ratio of the mean of the log intensity of high energies in the ion spectra to the mean of the log intensity of low energies in the ion spectra. See paper for more information





 high_intensity



Boolean if there is a peak with a higher minimum intensity threshold. See paper for more information





 spectra_counts



A ratio of spectra bins with non-zero counts to all possible spectra bins (i.e. way to determine if too much missing spectra data). See paper for more information





 raw_named_label



Raw cluster assigned plasma region label (allowed values: magnetosheath, magnetosphere, solar wind)





 named_label



Cleaned cluster assigned plasma region label (use these unless have a specific reason to use raw labels). See paper for more information





 raw_transition_name



Raw transition names (e.g. bow shock, magnetopause). See paper for more information





 transition_name



Cleaned transition names (e.g. bow shock, magnetopause) after removing likely transient transitions. See paper for more information
DOI: 10.5281/zenodo.15497294
title: Automated MESSENGER Plasma Region Classifications via Unsupervised Transfer Learning

description: This file contains the 1-minute resolution dataset (“labeled_sunside_data.csv”) for Toy-Edens et al.’s Automated Classification of MESSENGER Plasma Observations via Unsupervised Transfer Learning. The 1-minute resolution file contains the rolled up 1-minute epoch, features that go into clustering and post-cleaning methods, spacecraft positions (in MSO), total magnetic field, raw and cleaned clustering labels, and raw and cleaned transition name.

We ask that if you use any parts of the dataset that you cite Toy-Edens et al.’s Automated Classification of MESSENGER Plasma Observations via Unsupervised Transfer Learning (DOI to be created).

This work was supported by NASA grants 80NSSC19K0789 and 80NSSC22K0993.

 

The following tables detail the contents of the described files:

labeled_sunside_data.csv description






Column Name



Description





 Epoch



Epoch in datetime (YYYY-MM-DD HH:MM:SS)





 x_mso



x position of the spacecraft in MSO [km]





 y_mso



y position of the spacecraft in MSO [km]





 z_mso



z position of the spacecraft in MSO [km]





 btot_mso



Total magnetic field [nT]





 norm_Btot



Magnitude of the total magnetic field normalized to 150nT. See paper for more information





 ratio_max_width



Ratio of the width of the most prominent ion spectra peak (in number of energy channels) to max number of energy channels. See paper for more information





 ratio_high_low



Ratio of the mean of the log intensity of high energies in the ion spectra to the mean of the log intensity of low energies in the ion spectra. See paper for more information





 high_intensity



Boolean if there is a peak with a higher minimum intensity threshold. See paper for more information





 spectra_counts



A ratio of spectra bins with non-zero counts to all possible spectra bins (i.e. way to determine if too much missing spectra data). See paper for more information





 raw_named_label



Raw cluster assigned plasma region label (allowed values: magnetosheath, magnetosphere, solar wind)





 named_label



Cleaned cluster assigned plasma region label (use these unless have a specific reason to use raw labels). See paper for more information





 raw_transition_name



Raw transition names (e.g. bow shock, magnetopause). See paper for more information





 transition_name



Cleaned transition names (e.g. bow shock, magnetopause) after removing likely transient transitions. See paper for more information
DOI: 10.15468/dl.8mgv34
title: Occurrence Download

description: A dataset containing 5210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meles meles (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((6.733714 45.767525, 10.995128 45.767525, 10.995128 47.805775, 6.733714 47.805775, 6.733714 45.767525))",
 "Year is greater than or equal to 1989",
 "Year is less than or equal to 1999"
 ]
}

 The dataset includes 5210 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015568-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/69d111e7-30e6-4206-b27d-22a5f4e33722
title: Data underlying the publication: “Bits and Pieces: Piecing Together Factors of IoT Vulnerability Exploitation"

description: This repository contains the source code for our exploit prediction model, as well as detailed descriptions and links for each dataset used in this study:<br>1. Model source code: The R code used for predicting and explaining exploitation in IoT vulnerabilities is included. All necessary instructions for running the model are provided in the README file within the ZIP archive.<br>2. You can use the following sources to collect the data used in the model:2.1. IoT Vulnerabilities: 2.1.1 VARIoT: https://www.variot.eu/<br>2.2. Targeted IoT Vulnerabilities: 2.2.1. VirusTotal: https://www.virustotal.com2.2.2. CISA KEV: https://www.cisa.gov/known-exploited-vulnerabilities-catalog2.2.3. VulnCheck KEV: https://vulncheck.com/kev2.2.4. AttackerKB: https://attackerkb.com2.2.5. Google Project Zero: https://googleprojectzero.blogspot.com/2.2.6. Honeypots such as IoTPOT and X-Pot: https://sec.ynu.codes/iot/<br>2.3. Vulnerability Features: 2.3.1. NVD: https://nvd.nist.gov/<br>2.4. Exploitability Features: 2.4.1. ExploitDB: https://www.exploit-db.com/<br>2.5. Hacking Community Features: 2.5.1 CrimeBB: https://www.cambridgecybercrime.uk/datasets.html<br>
DOI: 10.4121/69d111e7-30e6-4206-b27d-22a5f4e33722.v1
title: Data underlying the publication: “Bits and Pieces: Piecing Together Factors of IoT Vulnerability Exploitation"

description: This repository contains the source code for our exploit prediction model, as well as detailed descriptions and links for each dataset used in this study:<br>1. Model source code: The R code used for predicting and explaining exploitation in IoT vulnerabilities is included. All necessary instructions for running the model are provided in the README file within the ZIP archive.<br>2. You can use the following sources to collect the data used in the model:2.1. IoT Vulnerabilities: 2.1.1 VARIoT: https://www.variot.eu/<br>2.2. Targeted IoT Vulnerabilities: 2.2.1. VirusTotal: https://www.virustotal.com2.2.2. CISA KEV: https://www.cisa.gov/known-exploited-vulnerabilities-catalog2.2.3. VulnCheck KEV: https://vulncheck.com/kev2.2.4. AttackerKB: https://attackerkb.com2.2.5. Google Project Zero: https://googleprojectzero.blogspot.com/2.2.6. Honeypots such as IoTPOT and X-Pot: https://sec.ynu.codes/iot/<br>2.3. Vulnerability Features: 2.3.1. NVD: https://nvd.nist.gov/<br>2.4. Exploitability Features: 2.4.1. ExploitDB: https://www.exploit-db.com/<br>2.5. Hacking Community Features: 2.5.1 CrimeBB: https://www.cambridgecybercrime.uk/datasets.html<br>
DOI: 10.3886/e230883
title: Consumer Complaint Database

description: The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.
DOI: 10.3886/e230883v1
title: Consumer Complaint Database

description: The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.
DOI: 10.15468/dl.cqytwx
title: Occurrence Download

description: A dataset containing 417330164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2025"
 ]
}

 The dataset includes 417330164 records from 11625 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015485-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.taxztd
title: Occurrence Download

description: A dataset containing 960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Myiothlypis leucophrys (Pelzeln, 1868)"
 ]
}

 The dataset includes 960 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268565-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ceq4dk
title: Occurrence Download

description: A dataset containing 4842 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kosteletzkya pentacarpos (L.) Ledeb."
 ]
}

 The dataset includes 4842 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001986-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3hwjh
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eschweilera sagotiana Miers)",
 "BasisOfRecord is one of (Specimen)",
 "HasGeospatialIssue is false",
 "DecimalLatitude is greater than -18",
 "DecimalLatitude is less than 6",
 "DecimalLongitude is greater than -74",
 "DecimalLongitude is less than -45"
 ]
}

 The dataset includes 204 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261694-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43ev47
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drymaeus binominis (E.A.Smith, 1895)"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268570-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erpaey
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potamogeton elegans Wall."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261704-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgqrn6
title: Occurrence Download

description: A dataset containing 28646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is Numenius phaeopus (Linnaeus, 1758)",
 "Year 2000-2023"
 ]
}

 The dataset includes 28646 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268560-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duzva5
title: Occurrence Download

description: A dataset containing 3468 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conus anemone Lamarck, 1810"
 ]
}

 The dataset includes 3468 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0267047-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z584ck
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-111.02786 26.89340,-57.97214 26.89340,-57.97214 48.10660,-111.02786 48.10660,-111.02786 26.89340))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macromia alleghaniensis Williamson, 1909"
 ]
}

 The dataset includes 149 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261695-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6arrg4
title: Occurrence Download

description: A dataset containing 938507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 2015-2016"
 ]
}

 The dataset includes 938507 records from 911 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031239-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pp2ujb
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Caesalpiniaceae"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007201-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28829222
title: Transcription factor enrichment analysis of CC-treated secretomes associated with ER beta.

description: Transcription factor enrichment analysis of CC-treated secretomes associated with ER beta.
DOI: 10.15468/dl.dz34rk
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Mammals in MZNA-VERT: biology of Arvicola sapidus in Navarra. PhD project, Juan Manuel Garde",
 "TaxonKey is Arvicola sapidus Miller, 1908"
 ]
}

 The dataset includes 420 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017824-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxa69k
title: Occurrence Download

description: A dataset containing 705008469 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 705008469 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062155-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrtev4
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/0001911-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhfuyt
title: Occurrence Download

description: A dataset containing 2186649215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2186649215 records from 49058 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022522-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/tjhyzo/vqosdc
title: Johnson_As_time_series.zip

description: 114 png files with time-series for As and pH
DOI: 10.22008/fk2/tjhyzo/91vvxn
title: Johnson_Cu_timeseries.zip

description: 113 png files with time series for Cu and pH
DOI: 10.22008/fk2/tjhyzo/dmccej
title: Johnson_Pb_timeseries.zip

description: 113 png files with time series for Pb and pH
DOI: 10.22008/fk2/tjhyzo
title: Time Series Plots for As, Cu, Pb, Zn, and pH for the GRUMO wells with stainless steel filters

description: Time series plots for As, Cu, Pb, Zn, and pH for the GRUMO wells with stainless steel filters (in Danish: Johnsonfiltre). These plots were used to identify well screens with high variability or outliers in the trace elements As, Cu, Pb, and Zn, potentially as a function of pH variation. More information about the purpose of this analysis can be found in GEUS Rapport "Revision af stationsnettet; Johnsonfiltre". For summary of results from the time series analysis, see Table 7-1 in the GEUS Rapport.
DOI: 10.22008/fk2/tjhyzo/tkeyyx
title: Johnson_Zn_timeseries.zip

description: 113 png files with time series for Zn and pH
DOI: 10.5281/zenodo.18667702
title: THE ROLE OF COMMUNICATIVE COMPETENCE IN THE PROFESSIONAL ACTIVITIES OF A PRIMARY SCHOOL TEACHER
DOI: 10.5281/zenodo.18667701
title: THE ROLE OF COMMUNICATIVE COMPETENCE IN THE PROFESSIONAL ACTIVITIES OF A PRIMARY SCHOOL TEACHER
DOI: 10.6084/m9.figshare.31281208
title: Analysis of Phospholipids in Myeloid and Hepatocyte Pla2g6KO_CMGH

description: To clarify mixed phenotypes of iPLa2b-null mice under high-fat diet feeding, we generated PLA2G6 deletion specifically in myeloid cells and hepatocytes. Figshare contains lipidomic analysis of phospholipids in brain from myeloidcell-Pla2g6KO mice as well as in liver and brain from Heptocyte-Pla2g6 KO mice.
DOI: 10.6084/m9.figshare.31281208.v1
title: Analysis of Phospholipids in Myeloid and Hepatocyte Pla2g6KO_CMGH

description: To clarify mixed phenotypes of iPLa2b-null mice under high-fat diet feeding, we generated PLA2G6 deletion specifically in myeloid cells and hepatocytes. Figshare contains lipidomic analysis of phospholipids in brain from myeloidcell-Pla2g6KO mice as well as in liver and brain from Heptocyte-Pla2g6 KO mice.
DOI: 10.15468/dl.nhemx4
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tortella alpicola",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 38 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023807-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57907/mirri/fpptoq/yp65mx
title: MIRRI0067558.json

description: Strain json file
DOI: 10.57907/mirri/iuiebf/7r2ppu
title: MIRRI0066431.json

description: Strain json file
DOI: 10.57907/mirri/lqsxhg
title: MIRRI0067621

description: Organism type: Filamentous Fungi ; Taxon name: Penicillium italicum ; Collection: CBS 102397 ; Country: Netherlands
DOI: 10.57907/mirri/sdlofy/aybxcf
title: MIRRI0067565.json

description: Strain json file
DOI: 10.57907/mirri/sxfbv2/npw7fn
title: MIRRI0067514.json

description: Strain json file
DOI: 10.57907/mirri/uecwsx/fhbizx
title: MIRRI0067596.json

description: Strain json file
DOI: 10.57907/mirri/v1kayf
title: MIRRI0066495

description: Organism type: Filamentous Fungi ; Taxon name: Mortierella pulchella ; Collection: CBS 100562 ; Country: United States of America
DOI: 10.57907/mirri/v6gwex
title: MIRRI0067521

description: Organism type: Filamentous Fungi ; Taxon name: Colletotrichum gloeosporioides ; Collection: CBS 102275
DOI: 10.57907/mirri/wgabmj/vbub02
title: MIRRI0066429.json

description: Strain json file
DOI: 10.3535/5zj-cpf-m4b
title: Hieracium glaucum subsp. willdenowii (Monnier) Nägeli & Peter

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lvf-7g4-m2l
title: Diospyros curranii Merr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/2exynt
title: MIRRI0066246

description: Organism type: Filamentous Fungi ; Taxon name: Endoconidiophora resinifera ; Collection: CBS 100204 ; Country: United States of America
DOI: 10.57907/mirri/48khi3/zjykmn
title: MIRRI0067586.json

description: Strain json file
DOI: 10.57907/mirri/4s7suu/dh1uyz
title: MIRRI0067574.json

description: Strain json file