cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/independent-c69-9063
title: Analyses requested by counsel (3 of 3), 1991 May-July

description: Analyses requested by counsel (3 of 3), 1991 May 24 - July 10. PART OF A SERIES: To ascertain misconduct on the part of LAPD officers, the Independent Commission set out to probe databases maintained by the LAPD related to four areas: personnel complaints, use of force, officer-involved shootings (OIS), and the use of dogs (K-9). This task was delegated to the firm Freeman & Mills, which was responsible for obtaining these databases from the LAPD, converting pertinent data into useable formats, creating additional databases of additional information, and analyzing its findings. The series contains items related to Freeman & Mills' work product, including numerous analyses of use-of-force, OIS, and K-9 data; weekly complaint summary printouts; graphs, charts, tables, and other visual representations of this data; and computer directory lists that provide the names and locations of files within the LAPD's databases. At the end of the series is a draft copy of the Independent Commission's final report, which incorporates many of the aforementioned data and figures.
DOI: 10.25549/independent-c69-10141
title: Sherman, Lawrence, 1990 Dec - 1991 May

description: Sherman, Lawrence, 1990 December - 1991 May 28. PART OF A SERIES: The staff of Gibson, Dunn & Crutcher coordinated witness interviews and conducted an extensive review of complaints filed against LAPD officers. Included in the series are summaries of witness interviews, statistics and investigative reports related to citizen complaints, an analysis on adjudicated cases involving use-of-force complaints, reports regarding LAPD's recruitment of African American officers and community oriented policing, and an excerpt from Malcolm Sparrow's Beyond 9-1-1. Also included are materials related to the firm's work product, including attorney notes, work plans, memoranda, and drafts of chapters for the Commission report.
DOI: 10.5281/zenodo.12819397
title: Automatically fixing dependency breaking changes

description: OpenInference Traces for Automated Dependency Update Experiments

Dataset Description

This repository contains a collection of execution traces captured during experiments on automated dependency updates using Large Language Models (LLMs). The traces were recorded using OpenTelemetry and OpenInference (https://github.com/Arize-ai/openinference), providing detailed insights into the behavior and performance of various LLMs in addressing breaking changes caused by dependency updates in Java projects.

Data Format

The traces are stored in JSON Lines format, persisted via a custom OpenTelemetry exporter. This format ensures easy parsing and analysis of the experimental data.

Trace Content

Throughout the execution of the experiments, multiple spans were recorded with custom attributes to facilitate subsequent statistical analysis. These spans capture various aspects of the LLM interactions, including:

1. Input processing2. LLM query generation3. LLM response parsing4. Code modification attempts5. Compilation and test execution results

Research Context

These traces correspond to the experiments described in the associated study, which investigates the effectiveness of zero-shot prompting and agentic approaches in automating dependency updates. The data provides valuable insights into the performance variations across different LLMs and the influence of various factors on repair success rates.

Data Usage

Researchers and practitioners can utilize this dataset to:

1. Replicate the experimental results presented in the thesis2. Conduct further analysis on LLM behavior in software engineering tasks3. Develop and benchmark new approaches for automated dependency updates4. Investigate the decision-making processes of LLMs in code modification tasks
DOI: 10.15468/dl.vmzj62
title: Occurrence Download

description: A dataset containing 650 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mollinedia uleana Perkins"
 ]
}

 The dataset includes 650 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014050-200221144449610/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.22823063
title: Onchocerca_volvulus

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823063.v1
title: Onchocerca_volvulus

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823063.v2
title: Onchocerca_volvulus

description: Gene, transcript, and intron level classification, by species
DOI: 10.15468/dl.6a8e9b
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "TaxonKey is Lithobates chiricahuensis (Platz & Mecham, 1979)",
 "Year 2011-2022"
 ]
}

 The dataset includes 140 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022636-220831081235567/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.22823060
title: Octopus_bimaculoides

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823060.v1
title: Octopus_bimaculoides

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823060.v2
title: Octopus_bimaculoides

description: Gene, transcript, and intron level classification, by species
DOI: 10.15468/dl.r0ux1n
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solenopsis saevissima (Smith, 1855)"
 ]
}

 The dataset includes 171 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009505-190320150433242/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.22823057
title: Nymphaea_colorata

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823057.v1
title: Nymphaea_colorata

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823057.v2
title: Nymphaea_colorata

description: Gene, transcript, and intron level classification, by species
DOI: 10.15468/dl.th2pxm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium spathulatum F.O.Khass. & R.M.Fritsch"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180909-210914110416597/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.22823054
title: Notechis_scutatus

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823054.v2
title: Notechis_scutatus

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823054.v1
title: Notechis_scutatus

description: Gene, transcript, and intron level classification, by species
DOI: 10.15468/dl.c2g23n
title: Occurrence Download

description: A dataset containing 23597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parthenium hysterophorus L."
 ]
}

 The dataset includes 23597 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060059-240506114902167/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.22823048
title: Notamacropus_eugenii

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823048.v2
title: Notamacropus_eugenii

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823048.v1
title: Notamacropus_eugenii

description: Gene, transcript, and intron level classification, by species
DOI: 10.15468/dl.kpbwdr
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.41406 51.91297,4.42438 51.91242,4.42484 51.91344,4.41413 51.91405,4.41406 51.91297))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1000-1930"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120553-210914110416597/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.22823045
title: Nomascus_leucogenys

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823045.v2
title: Nomascus_leucogenys

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823045.v1
title: Nomascus_leucogenys

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823042
title: Nicotiana_attenuata

description: Gene, transcript, and intron level classification, by species
DOI: 10.15468/dl.3tns6a
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium haemanthoides Boiss. & Reut. ex Regel"
 ]
}

 The dataset includes 19 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180915-210914110416597/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.22823042.v1
title: Nicotiana_attenuata

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823042.v2
title: Nicotiana_attenuata

description: Gene, transcript, and intron level classification, by species
DOI: 10.15468/dl.r5jsdd
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium forrestii Diels"
 ]
}

 The dataset includes 228 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180912-210914110416597/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.22823039
title: Neurospora_crassa

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823039.v2
title: Neurospora_crassa

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823039.v1
title: Neurospora_crassa

description: Gene, transcript, and intron level classification, by species
DOI: 10.15468/dl.c3ga49
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia durandoi Chabert"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205104-230224095556074/datasets/export for details.
DOI: 10.6084/m9.figshare.22823036
title: Neocallimastix_californiae

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823036.v1
title: Neocallimastix_californiae

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.22823036.v2
title: Neocallimastix_californiae

description: Gene, transcript, and intron level classification, by species
DOI: 10.15468/dl.mc2bu9
title: Occurrence Download

description: A dataset containing 95119887 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 95119887 records from 5325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060045-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0215675.10fu
title: SH0215675.10FU

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/sh0215676.10fu
title: SH0215676.10FU

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/sh0215677.10fu
title: SH0215677.10FU

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/sh0215678.10fu
title: SH0215678.10FU

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/sh0215679.10fu
title: SH0215679.10FU

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/sh0215680.10fu
title: SH0215680.10FU

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/sh0215681.10fu
title: SH0215681.10FU

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/sh0215682.10fu
title: SH0215682.10FU

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/sh0215683.10fu
title: SH0215683.10FU

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/sh0215684.10fu
title: SH0215684.10FU

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.