cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1383186.10fu
title: SH1383186.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383188.10fu
title: SH1383188.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383194.10fu
title: SH1383194.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383199.10fu
title: SH1383199.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383201.10fu
title: SH1383201.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383203.10fu
title: SH1383203.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.u8hwxy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meristogenys stigmachilus"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031003-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-225649
title: Southern California alumni review, vol. 8, no. 1 (1926 Sept.)

description: Southern California alumni review, vol. 8, no. 1 (1926 September). Published monthly except July and August.
DOI: 10.15468/dl.pj7ecp
title: Occurrence Download

description: A dataset containing 40194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Verbena bonariensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40194 records from 496 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031002-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-225651
title: Southern California alumni review, vol. 8, no. 1 (1926 Sept.)

description: Southern California alumni review, vol. 8, no. 1 (1926 September). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225659
title: Southern California alumni review, vol. 8, no. 1 (1926 Sept.)

description: Southern California alumni review, vol. 8, no. 1 (1926 September). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225663
title: Southern California alumni review, vol. 8, no. 1 (1926 Sept.)

description: Southern California alumni review, vol. 8, no. 1 (1926 September). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225673
title: Southern California alumni review, vol. 8, no. 2 (1926 Oct.)

description: Southern California alumni review, vol. 8, no. 2 (1926 October). Published monthly except July and August.
DOI: 10.13140/rg.2.2.36111.04000
title: The codes and relevant datasets used for studying the low-frequency terms in the C22/S22 gravitational field coefficient
DOI: 10.15468/dl.kftfrd
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Austrotinodes amazonensis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031004-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-225675
title: Southern California alumni review, vol. 8, no. 2 (1926 Oct.)

description: Southern California alumni review, vol. 8, no. 2 (1926 October). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225685
title: Southern California alumni review, vol. 8, no. 2 (1926 Oct.)

description: Southern California alumni review, vol. 8, no. 2 (1926 October). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225699
title: Southern California alumni review, vol. 8, no. 2 (1926 Oct.)

description: Southern California alumni review, vol. 8, no. 2 (1926 October). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225701
title: Southern California alumni review, vol. 8, no. 2 (1926 Oct.)

description: Southern California alumni review, vol. 8, no. 2 (1926 October). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225705
title: Southern California alumni review, vol. 8, no. 2 (1926 Oct.)

description: Southern California alumni review, vol. 8, no. 2 (1926 October). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225710
title: Southern California alumni review, vol. 8, no. 3 (1926 Nov.)

description: Southern California alumni review, vol. 8, no. 3 (1926 November). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225714
title: Southern California alumni review, vol. 8, no. 3 (1926 Nov.)

description: Southern California alumni review, vol. 8, no. 3 (1926 November). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225721
title: Southern California alumni review, vol. 8, no. 3 (1926 Nov.)

description: Southern California alumni review, vol. 8, no. 3 (1926 November). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225726
title: Southern California alumni review, vol. 8, no. 3 (1926 Nov.)

description: Southern California alumni review, vol. 8, no. 3 (1926 November). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225738
title: Southern California alumni review, vol. 8, no. 3 (1926 Nov.)

description: Southern California alumni review, vol. 8, no. 3 (1926 November). Published monthly except July and August.
DOI: 10.15468/dl.jg33zx
title: Occurrence Download

description: A dataset containing 701 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-80.27313 -4.3411,-78.38976 -4.3411,-78.38976 -3.392,-80.27313 -3.392,-80.27313 -4.3411))",
 "OccurrenceStatus is Present",
 "TaxonKey is Piranga flava",
 "Year 2000-2026"
 ]
}

 The dataset includes 701 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031005-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bmq27
title: Occurrence Download

description: A dataset containing 111302 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus contorta"
 ]
}

 The dataset includes 111302 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030916-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-225740
title: Southern California alumni review, vol. 8, no. 3 (1926 Nov.)

description: Southern California alumni review, vol. 8, no. 3 (1926 November). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225751
title: Southern California alumni review, vol. 8, no. 4 (1926 Dec.)

description: Southern California alumni review, vol. 8, no. 4 (1926 December). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225753
title: Southern California alumni review, vol. 8, no. 4 (1926 Dec.)

description: Southern California alumni review, vol. 8, no. 4 (1926 December). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225757
title: Southern California alumni review, vol. 8, no. 4 (1926 Dec.)

description: Southern California alumni review, vol. 8, no. 4 (1926 December). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225762
title: Southern California alumni review, vol. 8, no. 4 (1926 Dec.)

description: Southern California alumni review, vol. 8, no. 4 (1926 December). Published monthly except July and August.
DOI: 10.15468/dl.xkzb3t
title: Occurrence Download

description: A dataset containing 8155 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Erica umbellata",
 "ScientificName is Erica umbellata L."
 ]
}

 The dataset includes 8155 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031006-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-250426
title: Southern California alumni news, vol. 5, no. 7 (1924 May)

description: Southern California alumni news, vol. 5, no. 7 (1924 May). Published monthly.
DOI: 10.25549/uschist-c104-250699
title: Southern California alumni review, vol. 36, no. 1 (1954 Oct.)

description: Southern California alumni review, vol. 36, no. 1 (1954 October). Published eight times a year, monthly from, October to May, inclusive.
DOI: 10.25549/uschist-c104-250702
title: Southern California alumni review, vol. 36, no. 1 (1954 Oct.)

description: Southern California alumni review, vol. 36, no. 1 (1954 October). Published eight times a year, monthly from, October to May, inclusive.
DOI: 10.25549/uschist-c104-250706
title: Southern California alumni review, vol. 36, no. 1 (1954 Oct.)

description: Southern California alumni review, vol. 36, no. 1 (1954 October). Published eight times a year, monthly from, October to May, inclusive.
DOI: 10.15468/dl.9zv7u3
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neocabreria serrulata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031007-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-250707
title: Southern California alumni review, vol. 36, no. 1 (1954 Oct.)

description: Southern California alumni review, vol. 36, no. 1 (1954 October). Published eight times a year, monthly from, October to May, inclusive.
DOI: 10.15468/dl.xpws84
title: Occurrence Download

description: A dataset containing 58558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mactra",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 58558 records from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030980-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-225765
title: Southern California alumni review, vol. 8, no. 4 (1926 Dec.)

description: Southern California alumni review, vol. 8, no. 4 (1926 December). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225774
title: Southern California alumni review, vol. 8, no. 4 (1926 Dec.)

description: Southern California alumni review, vol. 8, no. 4 (1926 December). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225775
title: Southern California alumni review, vol. 8, no. 4 (1926 Dec.)

description: Southern California alumni review, vol. 8, no. 4 (1926 December). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225783
title: Southern California alumni review, vol. 8, no. 4 (1926 Dec.)

description: Southern California alumni review, vol. 8, no. 4 (1926 December). Published monthly except July and August.
DOI: 10.25549/uschist-c104-225786
title: Southern California alumni review, vol. 8, no. 4 (1926 Dec.)

description: Southern California alumni review, vol. 8, no. 4 (1926 December). Published monthly except July and August.
DOI: 10.25549/uschist-c104-250719
title: Southern California alumni review, vol. 36, no. 1 (1954 Oct.)

description: Southern California alumni review, vol. 36, no. 1 (1954 October). Published eight times a year, monthly from, October to May, inclusive.
DOI: 10.25549/uschist-c104-250861
title: Southern California alumni review, vol. 41, no. 1 (1959 Oct.)

description: Southern California alumni review, vol. 41, no. 1 (1959 October). Published monthly except June, July, August, and September.
DOI: 10.25549/uschist-c104-250864
title: Southern California alumni review, vol. 41, no. 1 (1959 Oct.)

description: Southern California alumni review, vol. 41, no. 1 (1959 October). Published monthly except June, July, August, and September.
DOI: 10.25549/uschist-c104-250867
title: Southern California alumni review, vol. 41, no. 1 (1959 Oct.)

description: Southern California alumni review, vol. 41, no. 1 (1959 October). Published monthly except June, July, August, and September.
DOI: 10.25549/uschist-c104-250871
title: Southern California alumni review, vol. 41, no. 1 (1959 Oct.)

description: Southern California alumni review, vol. 41, no. 1 (1959 October). Published monthly except June, July, August, and September.
DOI: 10.15468/dl.z757xv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Austrotinodes ariasi",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031008-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26180/31266982
title: Supplementary Material for Integrating Visual Analytics into Eye Tracking Workflows: A Longitudinal Field Study

description: This repository is supplementary material for "Integrating Visual Analytics into Eye Tracking Workflows: A Longitudinal Field Study".In this work, we conducted a longitudinal study to provide an initial understanding of these potential benefits. We introduced 20 analysts to Gazealytics*, a Visual Analytics tool for eye tracking data, and observed their use of the tool over 2 to 12 weeks as they worked on their own tasks and datasets. Based on this study, we described the tasks, usage patterns, and scenarios observed, and identified four key benefits of VA in the context of eye tracking workflows: (1) visual difference-based hypothesis testing, (2) multi-way exploratory search for insights, (3) improving data quality of recorded samples, and (4) visual dissemination and integration of results. From these findings, we derived design implications for future tools.This Supplementary Material contains1. Additional results1.1 Appendix PDF: Additional results from the main paper, with analysts' original quotes that supports each finding. 1.2 Table of efficiency gains in terms of time, workflow, as well as insights gained using static or dynamic AOIs2. Pre-study questionnaire responses from 20 analysts include codes of challenges of current practice reported in Section 4.1 of the paper3. Post-study questionnaire responses from 15 analysts who completed the entire study session with analysis outcomes include codes of reported tasks / patterns in Section 4.2 and Section 4.3 of the paper.4. Study outcomes, galleries, and sample publications from analysts.The following folders contain analysts' Study outcomes, galleries, and sample publications with permission of sharing from analysts. Each folder can be indicated by "AnalystID_Expertise_Discipline_Topical_Data".5. Training materials we provided to analysts:5.1 Online features video: https://youtu.be/e-Ok3mLQZgw5.2 The setup video which describes how to set up AOIs, TWIs, workspace etc: https://youtu.be/wGtw_ITntAA5.3 Videos explaining use cases using and insights discovered from example datasets:Readers of the materials are encouraged to load it directly in *Gazealytics: https://www2.visus.uni-stuttgart.de/gazealytics/ (Opensource code available here: https://github.com/gazealytics/gazealytics-master?tab=readme-ov-file)Use case 1: analysis using using AOIs, fixations and Matrix tools - https://youtu.be/WExRQpjVdBMUse case 2: analysis using using saccade, scan paths - https://youtu.be/VnaDaxHBPPo5.4 Sample dataset for analysts to load into Gazealytics and try themselves<br><br>