cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cx97xn
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Epidendrum lanipes"
 ]
}

 The dataset includes 30 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059710-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.256ete
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 061b4f20-f241-11da-a328-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, 2cd829bb-b713-433d-99cf-64bef11e5b3e, 0363cbd4-f666-455e-8e86-0bbddcf51950, 90fd6680-349f-11d8-aa2d-b8a03c50a862)",
 "TaxonKey is Ismene amancaes"
 ]
}

 The dataset includes 115 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059708-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17290312
title: MS LCL Short Read 1

description: Sample ID

Group
Disease Activity
Age
Sex
Race
Note


HC1
Heatlhy Control
NA
65
M
WC
 


HC2
Heatlhy Control
NA
58
M
Asian
 


HC3
Heatlhy Control
NA
73
F
WC
 


S2
MS
Stable
43
F
WC
same patient as A5, but in a stable phase of disease


S3 
MS
Stable
67
M
WC
 


S5
MS
Stable
48
F
B/AA
 


S6 
MS
Stable
47
M
Hispanic
same patient as A2, but in a stable phase of disease


A2 
MS
Active
43
M
Hispanic
same patient as S6, but in an active phase of disease


A3
MS
Active
35
F
B/AA
 


A5
MS
Active
39
F
WC
same pt as S2, but in an active phase of disease
DOI: 10.5281/zenodo.17290313
title: MS LCL Short Read 1

description: Sample ID

Group
Disease Activity
Age
Sex
Race
Note


HC1
Heatlhy Control
NA
65
M
WC
 


HC2
Heatlhy Control
NA
58
M
Asian
 


HC3
Heatlhy Control
NA
73
F
WC
 


S2
MS
Stable
43
F
WC
same patient as A5, but in a stable phase of disease


S3 
MS
Stable
67
M
WC
 


S5
MS
Stable
48
F
B/AA
 


S6 
MS
Stable
47
M
Hispanic
same patient as A2, but in a stable phase of disease


A2 
MS
Active
43
M
Hispanic
same patient as S6, but in an active phase of disease


A3
MS
Active
35
F
B/AA
 


A5
MS
Active
39
F
WC
same pt as S2, but in an active phase of disease
DOI: 10.5281/zenodo.17290358
title: MS LCL Long Read PacBio IsoSeq

description: Sample ID
Group
Disease Activity
Age
Sex
Race
Note


HC1
Heatlhy Control
NA
65
M
WC
 


HC2
Heatlhy Control
NA
58
M
Asian
 


HC3
Heatlhy Control
NA
73
F
WC
 


S2
MS
Stable
43
F
WC
same patient as A5, but in a stable phase of disease


S3 
MS
Stable
67
M
WC
 


S5
MS
Stable
48
F
B/AA
 


S6 
MS
Stable
47
M
Hispanic
same patient as A2, but in a stable phase of disease


A2 
MS
Active
43
M
Hispanic
same patient as S6, but in an active phase of disease


A3
MS
Active
35
F
B/AA
 


A5
MS
Active
39
F
WC
same pt as S2, but in an active phase of disease
DOI: 10.5281/zenodo.17290359
title: MS LCL Long Read PacBio IsoSeq

description: Sample ID
Group
Disease Activity
Age
Sex
Race
Note


HC1
Heatlhy Control
NA
65
M
WC
 


HC2
Heatlhy Control
NA
58
M
Asian
 


HC3
Heatlhy Control
NA
73
F
WC
 


S2
MS
Stable
43
F
WC
same patient as A5, but in a stable phase of disease


S3 
MS
Stable
67
M
WC
 


S5
MS
Stable
48
F
B/AA
 


S6 
MS
Stable
47
M
Hispanic
same patient as A2, but in a stable phase of disease


A2 
MS
Active
43
M
Hispanic
same patient as S6, but in an active phase of disease


A3
MS
Active
35
F
B/AA
 


A5
MS
Active
39
F
WC
same pt as S2, but in an active phase of disease
DOI: 10.15468/dl.bb8hr6
title: Occurrence Download

description: A dataset containing 2783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bosnia and Herzegovina",
 "Year is 2022",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 2783 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059711-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jng5ar
title: Occurrence Download

description: A dataset containing 1514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ligustrum leucanthum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1514 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059715-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2br3fx
title: Occurrence Download

description: A dataset containing 8843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Columbiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((30 60,60 60,60 90,30 90,30 60))"
 ]
}

 The dataset includes 8843 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059717-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57761/71sn-8d76
title: L2 Voter and Demographic Dataset

description: If you have questions or concerns, please contact Ron Nakao at ronbo@stanford.edu.


description: The L2 Voter and Demographic Dataset includes demographic and voter history tables for all 50 states and the District of Columbia. The dataset is built from publicly available government records about voter registration and election participation. These records indicate whether a person voted in an election or not, but they do not record whom that person voted for. Voter registration and election participation data are augmented by demographic information from outside data sources.
description: To create this file, L2 processes registered voter data on an ongoing basis for all 50 states and the District of Columbia, with refreshes of the underlying state voter data typically at least every six months and refreshes of telephone numbers and National Change of Address processing approximately every 30 to 60 days. These data are standardized and enhanced with propriety commercial data and modeling codes and consist of approximately 185,000,000 records nationwide.


description: For each state, there are two available tables: demographic and voter history. The demographic and voter tables can be joined on the `LALVOTERID `variable. One can also use the `LALVOTERID `variable to link the L2 Voter and Demographic Dataset with the L2 Consumer Dataset.



In addition, the `LALVOTERID `variable can be used to validate the state. For example, let's look at the `LALVOTERID = LALCA3169443`. The characters in the fourth and fifth positions of this identifier are 'CA' (California). The second way to validate the state is by using the `RESIDENCE_ADDRESSES_STATE `variable, which should have a value of 'CA' (California).



The date appended to each table name represents when the data was last updated. These dates will differ state by state because states update their voter files at different cadences.



The demographic files use 698 consistent variables. For more information about these variables, see ***2025-01-10-VM2-File-Layout.xlsx***.



The voter history files have different variables depending on the state. The ***2025-08-05-L2-Voter-Dictionaries.tar.gz ***file contains .csv data dictionaries for each state's demographic and voter files. While the demographic file data dictionaries should mirror the*** 2025-01-10-VM2-File-Layout.xlsx*** file, the voter file data dictionaries will be unique to each state.



***2025-04-24-National-File-Notes.pdf ***contains L2 Voter and Demographic Dataset ("National File") release notes from 2018 to 2025.

***2025-08-05-L2-Voter-Fill-Rate.tar.gz ***contains .tab files tracking the percent of non-null values for any given field.
DOI: 10.57761/7zqy-0r63
title: L2 Voter and Demographic Dataset

description: If you have questions or concerns, please contact Ron Nakao at ronbo@stanford.edu.


description: The L2 Voter and Demographic Dataset includes demographic and voter history tables for all 50 states and the District of Columbia. The dataset is built from publicly available government records about voter registration and election participation. These records indicate whether a person voted in an election or not, but they do not record whom that person voted for. Voter registration and election participation data are augmented by demographic information from outside data sources.
description: To create this file, L2 processes registered voter data on an ongoing basis for all 50 states and the District of Columbia, with refreshes of the underlying state voter data typically at least every six months and refreshes of telephone numbers and National Change of Address processing approximately every 30 to 60 days. These data are standardized and enhanced with propriety commercial data and modeling codes and consist of approximately 185,000,000 records nationwide.


description: For each state, there are two available tables: demographic and voter history. The demographic and voter tables can be joined on the `LALVOTERID `variable. One can also use the `LALVOTERID `variable to link the L2 Voter and Demographic Dataset with the L2 Consumer Dataset.



In addition, the `LALVOTERID `variable can be used to validate the state. For example, let's look at the `LALVOTERID = LALCA3169443`. The characters in the fourth and fifth positions of this identifier are 'CA' (California). The second way to validate the state is by using the `RESIDENCE_ADDRESSES_STATE `variable, which should have a value of 'CA' (California).



The date appended to each table name represents when the data was last updated. These dates will differ state by state because states update their voter files at different cadences.



The demographic files use 698 consistent variables. For more information about these variables, see ***2025-01-10-VM2-File-Layout.xlsx***.



The voter history files have different variables depending on the state. The ***2025-08-05-L2-Voter-Dictionaries.tar.gz ***file contains .csv data dictionaries for each state's demographic and voter files. While the demographic file data dictionaries should mirror the*** 2025-01-10-VM2-File-Layout.xlsx*** file, the voter file data dictionaries will be unique to each state.



***2025-04-24-National-File-Notes.pdf ***contains L2 Voter and Demographic Dataset ("National File") release notes from 2018 to 2025.

***2025-08-05-L2-Voter-Fill-Rate.tar.gz ***contains .tab files tracking the percent of non-null values for any given field.
DOI: 10.17632/bsgvn6c2yg
title: Quantum and complex-valued hybrid networks for multi-principal alloys phase prediction. Li et al.

description: Quantum and complex-valued hybrid networks for multi-principal alloys phase prediction.
DOI: 10.17632/bsgvn6c2yg.2
title: Quantum and complex-valued hybrid networks for multi-principal alloys phase prediction. Li et al.

description: Quantum and complex-valued hybrid networks for multi-principal alloys phase prediction.
DOI: 10.17632/8kj69whg59.1
title: Late Bronze Age Transdanubian Arrowhead Database

description: This database was compiled for the paper titled "Late Bronze Age Bronze Arrowheads from Transdanubia and Beyond" (DissArch 2025). It provides a detailed list of Late Bronze Age Transdanubian analogue finds, along with supplementary information such as site names, archaeological context, dating, quantity, citations, and notes. The database is based on the works of Gedl (2014), Říhovský (1996), Eckhardt (1996), Clausing (2005), Reinhold (2007), Sicherl (2004), Vasić (2015), and Inselmann et al. (2024), as well as numerous individual studies referenced in the document "Transdanubian Arrowhead Database (Bibliography)." This database also revises the most recent work by Inselmann et al. (2024) and broadens the geographic scope of analogous finds beyond Central Europe. It includes information on the following Eckhardt variants: 1A, 1C, 3A, 4A, 4C, 4E, and 5A.
We intend to regularly update and expand the database. Should you identify any errors—such as missing citations, incorrect site names, or typological misidentifications—please contact me so appropriate corrections can be made.
DOI: 10.17632/rjvzxb9ckv.1
title: Use-wear analysis of Transdanubian Late Bronze Age Bronze Arrowheads

description: This database contains the use-wear analysis results of Late Bronze Age Transdanubian arrowheads. The data is interpreted in the paper titled as "Late Bronze Age Bronze Arrowheads from Transdanubia and Beyond (DissArch 2025).
DOI: 10.17632/rs3jz5ph9y
title: Association between Controlling Nutritional Status and Allostatic Load with Heart Failure across Different Depressive States: A Cross-Sectional Study Using NHANES Data

description: Both the controlling nutritional status (CONUT) and allostatic load (AL) have been established as significant correlations of heart failure (HF). Given that depressive status associated with metabolic dysregulation may modulate these associations, the study aims to investigate the relationships between CONUT, AL, and HF across different depressive states.
This study analyzed data from 4632 participants in the National Health and Nutrition Examination Survey (NHANES) 2005–2018. The predictive performance of CONUT and AL, two clinical indices for HF stratified by depressive status, was assessed across multiple models.
In Model 1/2, both CONUT and AL positively correlated with HF (model1: CONUT: OR [95% CI], 1.434 [1.258–1.634], p &lt; 0.001, AL: 1.226 [1.140–1.318], p &lt; 0.001; model2: CONUT: OR [95% CI], 1.286 [1.119–1.478], p &lt; 0.001, AL: 1.141 [1.048–1.241], p=0.002). Depressive status moderated the association between CONUT and HF (p for interaction = 0.035). The result revealed that AL was significantly associated with HF in the depressive subgroup (AUC, 0.6048 [95% CI, 0.5162–0.6934]). Model 4 showed no significant difference between CONUT, AL, and HF across different depressive states (depression: NRI: –0.0982 [95% CI, –0.1267-0.0794], p=0.0585, IDI: –0.0025 [95% CI, –0.0105-0.0054], p=0.5308; non-depression: NRI: 0.0625 [95% CI, –0.1713-0.2601], p=0.5610, IDI: –0.0030 [95% CI, –0.0217-0.0158], p=0.7569). 
CONUT and AL demonstrated positive associations with HF, and the associations could be attenuated by depressive status. It’s necessary to integrate nutritional-metabolic, socio-environmental, and psychiatric factors to optimize the predictive accuracy of HF.
DOI: 10.34740/kaggle/dsv/13295262
title: Billboard Hot 100 & more
DOI: 10.17632/fd79sspsbv
title: Flow in translation

description: This is the dataset for an eye-tracking study on the cognitive and behavioural responses when translators translating under conditions with/without positive emotional priming.
DOI: 10.17632/rs3jz5ph9y.1
title: Association between Controlling Nutritional Status and Allostatic Load with Heart Failure across Different Depressive States: A Cross-Sectional Study Using NHANES Data

description: Both the controlling nutritional status (CONUT) and allostatic load (AL) have been established as significant correlations of heart failure (HF). Given that depressive status associated with metabolic dysregulation may modulate these associations, the study aims to investigate the relationships between CONUT, AL, and HF across different depressive states.
This study analyzed data from 4632 participants in the National Health and Nutrition Examination Survey (NHANES) 2005–2018. The predictive performance of CONUT and AL, two clinical indices for HF stratified by depressive status, was assessed across multiple models.
In Model 1/2, both CONUT and AL positively correlated with HF (model1: CONUT: OR [95% CI], 1.434 [1.258–1.634], p &lt; 0.001, AL: 1.226 [1.140–1.318], p &lt; 0.001; model2: CONUT: OR [95% CI], 1.286 [1.119–1.478], p &lt; 0.001, AL: 1.141 [1.048–1.241], p=0.002). Depressive status moderated the association between CONUT and HF (p for interaction = 0.035). The result revealed that AL was significantly associated with HF in the depressive subgroup (AUC, 0.6048 [95% CI, 0.5162–0.6934]). Model 4 showed no significant difference between CONUT, AL, and HF across different depressive states (depression: NRI: –0.0982 [95% CI, –0.1267-0.0794], p=0.0585, IDI: –0.0025 [95% CI, –0.0105-0.0054], p=0.5308; non-depression: NRI: 0.0625 [95% CI, –0.1713-0.2601], p=0.5610, IDI: –0.0030 [95% CI, –0.0217-0.0158], p=0.7569). 
CONUT and AL demonstrated positive associations with HF, and the associations could be attenuated by depressive status. It’s necessary to integrate nutritional-metabolic, socio-environmental, and psychiatric factors to optimize the predictive accuracy of HF.
DOI: 10.17632/fd79sspsbv.1
title: Flow in translation

description: This is the dataset for an eye-tracking study on the cognitive and behavioural responses when translators translating under conditions with/without positive emotional priming.
DOI: 10.15468/dl.nx9ntu
title: Occurrence Download

description: A dataset containing 492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anadara antiquata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 492 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059720-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14034459
title: STAR4BBS D1.2 Report on existing SCS and B2B labels for feedstock and bio-based materials and products_Appendix A

description: This dataset is part of STAR4BBS Deliverable 1.2 “Report on existing international and EU SCS and B2B labels for feedstock and bio-based materials and products“. It contains the list of Sustainability Certification Schemes and Labels relevant for feedstock, bio-based materials and products. The file categorises the schemes according to the different sectors and presents their relevant information such as biomass coverage, value chain stages covered, sustainability aspects, market and costs, and other characteristics of the schemes.
DOI: 10.5281/zenodo.14008253
title: STAR4BBS D1.4 Report on existing monitoring schemes_Annex A1

description: This dataset contains the full list of identified scientific publications from the systematic literature reveiw that is part of the  STAR4BBS deliverable D1.4 (Annex A1). The review of the identified 26 academic papers represents the findings of different benchmarking approaches for the assessment of certification schemes and labels, conducted for the purpose of further qualitative synthesis. It forms the basis of this synthesis and is included for transparency.
DOI: 10.5281/zenodo.14008329
title: STAR4BBS D1.4 Report on existing monitoring schemes_Annex A2

description: This dataset contains the full list of identified monitoring tools from the grey literature reveiw that is part of the  STAR4BBS deliverable D1.4 (Annex A2). The review of the identified 23 different assessment systems represents the findings, of which 19 monitoring tools were used for the further review of their characteristics, methods and results intepretation. It forms the basis of the further in-depth analysis and is included for transparency.
DOI: 10.5281/zenodo.16614796
title: Birds of a Feather Augment Together: Exploring Sonic Links Between Real and Virtual Worlds in Audio Augmented Reality

description: Quantitative dataset presented in ISMAR 2025 submission "Birds of a Feather Augment Together: Exploring Sonic Links Between Real and Virtual Worlds in Audio Augmented Reality".

Dataset covers the evaluation questionnaires presented to participants. Data has been pre-processed to flip negatively phrased questions as appropriate, and ensure that 7-step Likert data is scaled from -3 to 3.
DOI: 10.5517/ccdc.csd.cc2nt53s
title: CCDC 2467045: Experimental Crystal Structure Determination

description: Related Article: Holger Fleischer, Dieter Schollmeyer|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nt54t
title: CCDC 2467046: Experimental Crystal Structure Determination

description: Related Article: Holger Fleischer, Dieter Schollmeyer|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nt1p7
title: CCDC 2466939: Experimental Crystal Structure Determination

description: Related Article: Mainak Mitra|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nt55v
title: CCDC 2467047: Experimental Crystal Structure Determination

description: Related Article: Holger Fleischer, Dieter Schollmeyer|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nt2l5
title: CCDC 2466967: Experimental Crystal Structure Determination

description: Related Article: Li Yingze, Jeanette A. Krause, Hairong Guan|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nt7f5
title: CCDC 2467117: Experimental Crystal Structure Determination

description: Related Article: Shengqing Ye|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.