cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30705524.v1
title: More with Less: An Empirical Study of Turn-Control Strategies for Efficient Coding Agents

description: LLM-powered coding agents, which operate in iterative loops (turns) to solve software engineering tasks, are becoming increasingly powerful. However, their practical deployment is hindered by significant and unpredictable costs. This challenge arises from a combination of factors: quadratically growing token counts with each turn, the high price of state-of-the-art models, the large number of turns required for real-world tasks, and the tendency of agents to take inefficient or unnecessary actions. While existing research focuses on optimizing individual turns, the strategic control of the total number of turns remains an underexplored area for managing agent performance and cost. To address this gap, we conduct a comprehensive empirical study on the SWE-bench benchmark using three state-of-the-art models (Claude 4 Sonnet, Gemini 2.5 Pro, and GPT 4.1). We systematically evaluate the impact of three distinct turn-control strategies: an unrestricted baseline, a fixed-turn limit with reminders, and a novel dynamic-turn strategy that grants extensions on-demand. Our findings first reveal a fundamental trade-off in the unrestricted setting, where no single model excels across performance, cost, and turn efficiency. We then show that a fixed-turn limit, specifically at the 75th percentile of the baseline, serves as a "sweet spot", substantially reducing costs (by 24%-68%) with minimal impact on solve rates. Most significantly, our proposed dynamic-turn strategy consistently outperforms fixed-limit approaches, achieving comparable or better solve rates while further reducing costs by an additional 12%-24% by intelligently allocating resources only to tasks that need them. This work provides the first systematic analysis of turn-control strategies, offering simple yet effective guidelines for developers to balance cost and efficacy. We demonstrate that dynamic resource allocation is a superior, easy-to-implement approach for deploying powerful yet economically viable coding agents.
DOI: 10.15468/dl.aubb6b
title: Occurrence Download

description: A dataset listing the 49 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Eumorpha"
 ]
}

 The dataset's 49 records were derived from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007608-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/8vfp-8h64
title: Whale survey during the 2022 IWC-Pacific Ocean Whale and Ecosystem Research, IWC-POWER, from the research vessel Yushin-Maru No. 2 in the North Pacific from 2022-08-02 to 2022-09-30 (NCEI Accession 0276785)

description: This dataset contains whale observation data and cruise report of whale survey in the North Pacific conducted in the US EEZ under the guidance of the International Whale Committee (IWC). IWC-POWER cruises in the North Pacific follow the series of IWC/IDCR-SOWER (Southern Ocean Whale and Ecosystem Research) cruises that were conducted in the Antarctic since 1978. The 13th annual IWC-POWER cruise was conducted between 02 August, 2022 and 30 September, 2022 south of the western Aleutian Islands, within the U.S. Exclusive Economic Zone. This area was also surveyed in 2010 on the first POWER cruise. The survey was conducted aboard the Japanese R/V Yushin-Maru No. 2. The cruise was organized as a joint project between the IWC and Japan. The cruise plan was endorsed at the 68D IWC/Scientific Committee (IWC/SC) meeting. Researchers from the IWC, the U.S., and Japan participated in the survey. Whale observation data are in CSV format. Cruise report is in PDF. This cruise is U.S. State Department MSR U2022-004 as part of the World Data Service for Oceanography.
DOI: 10.25921/c1w8-6v02
title: ANN-NEP: A monthly surface pCO2 product for the Northeast Pacific open ocean from 1998-01-01 to 2019-12-31 (NCEI Accession 0277836)

description: ANN-NEP is a gridded surface ocean pCO2 data product for the Northeast Pacific open ocean. It was created using non-linear functional relationships between pCO2 observations from the Surface Ocean CO2 Atlas v2021 as well as additional data from Fisheries and Oceans Canada February 2019 Line P cruise, and a variety of independent predictor variables (see supplemental information) using an artificial neural network self-organizing-map-feed-forward-network approach described and evaluated in Duke et al. (2023). This file contains monthly pCO2 and air-sea CO2 flux fields from January 1998 to December 2019 at 1/12 degree by 1/12 degree (approximately 9 km by 5km; latitude by longitude) spatial resolution. The air-sea CO2 fluxes are computed from the air-sea CO2 partial pressure difference and a bulk gas transfer formulation following Duke et al. (2023).
DOI: 10.25921/eaf4-9658
title: Discrete profile measurements of carbon dioxide, hydrographic and chemical data during the R/V Oden SAS-Oden 2021 (SO21) cruise (EXPOCODE 77DN20210725) in the Arctic Ocean from 2021-07-25 to 2021-09-20 (NCEI Accession 0278647)

description: This dataset includes profile discrete measurements of dissolved inorganic carbon, total alkalinity, pH on total scale, water temperature, salinity, dissolved oxygen and other parameters measured during the R/V Oden SAS-Oden 2021 (SO21) cruise (EXPOCODE 77DN20210725) in the Arctic Ocean from 2021-07-25 to 2021-09-20. The SAS-Oden 2021 expedition (SO21) with icebreaker Oden1 (IB Oden) is the Swedish contribution to the international scientist-driven initiative ”Synoptic Arctic Survey” (SAS)2. SAS will collect primary ecosystem data in the Arctic Ocean in 2020-2022 from both ice-breaking and non-ice-breaking research vessels. The goal of SAS is to generate a comprehensive dataset that allows for an improved characterization of the Arctic Ocean with respect to its (1) physical oceanography, (2) marine ecosystems and (3) carbon cycle. The complete SAS dataset will provide a unique baseline that will allow for tracking climate change and its impacts as they unfold in the Arctic region over the coming years, decades and centuries.
DOI: 10.25921/b47r-4g30
title: Cruise report of water temperature, salinity, pH, dissolved inorganic carbon (DIC), alkalinity, and other measurements taken from the research vessel L'Atalante in the Caribbean Sea from 2015-12-15 to 2015-12-26 (NCEI Accession 0279541)

description: This dataset contains cruise report of multidisciplinary investigation of marine environment in the Caribbean Sea. Measurements include pH, alkalinity, DIC, temperature, salinity, coccolithophores and planktonic foraminifera. This cruise is U.S. State Department MSR U2015-028 as part of the World Data Service for Oceanography. Report is in PDF.
DOI: 10.15468/dl.bujxrn
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Pheidole megacephala"
 ]
}

 The dataset includes 207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007613-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.18038.25928
title: Rachmaninoff-Cello-Sonata-in-G-minor-Andante Antonio Gashi and Katsumi Ishibashi
DOI: 10.25921/9g1c-v717
title: Physical and chemical ocean data taken by CTD, Niskin bottles, and other instrumentation from the research vessel Sonne, cruise SO298, along cross Equatorial Pacific Ocean transect from 2023-04-14 to 2023-05-28 (NCEI Accession 0281823)

description: This dataset contains data and final cruise reports describing physical and chemical ocean data taken by CTD, Niskin bottles, and other instrumentation from the research vessel Sonne, cruise SO298, along cross Equatorial Pacific Ocean transect. This cruise is U.S. State Department MSR U2022-049 as part of the World Data Service for Geophysics and Oceanography. Reports are in PDF. Data are in TXT, XLS, also in German Archive PANGAEA.
DOI: 10.15468/dl.v5mx8c
title: Occurrence Download

description: A dataset containing 3410852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Year is 1985"
 ]
}

 The dataset includes 3410852 records from 601 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007588-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/xh0m-az38
title: "Faces Dataset for Haircut Analysis, Segmentation, and Recommendation"

description: "The Faces Dataset for Haircut Analysis, Segmentation, and Recommendation is a curated collection of human facial images designed to support research in computer vision applications related to hairstyle understanding. The dataset aims to enable automated haircut analysis, hair region segmentation, style classification, and personalized haircut recommendation systems. It provides a diverse set of face images varying in gender, age range, skin tone, and hair texture, allowing for robust model training and evaluation across multiple demographic groups.Each image in the dataset undergoes a structured preprocessing pipeline, including normalization, background cleaning, and standardized formatting. A subset of the images is manually annotated with hair masks to support supervised segmentation tasks. Additional metadata\u2014such as haircut type, hair length, and general style descriptors\u2014can be used to train classification or recommendation models. This multi-purpose structure makes the dataset suitable for both fundamental and applied machine learning research.The dataset is intended for use in computer vision, deep learning, and AI-driven beauty-tech applications. Potential use cases include virtual hairstyle try-on systems, smart salon assistants, automated grooming apps, and personalized haircut suggestions based on facial structure. It also offers a foundation for exploring advanced topics such as hair-texture modeling, style transfer, and facial-hair segmentation. Overall, this dataset provides a practical and versatile resource for researchers and developers working on next-generation haircut intelligence systems.Example:This dataset provides annotated sign language videos for public health communication in Uganda. It was created collaboratively with deaf interpreters, health professionals, and AI researchers to support the development of machine learning models for infectious disease awareness and screening. Data was collected across five Ugandan regions, annotated with English translations, and verified by local experts. The dataset supports research in computer vision, NLP, and inclusive healthcare technologies."
DOI: 10.15468/dl.ftmuze
title: Occurrence Download

description: A dataset containing 953719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((147.5 -34.5,147.5 -37,149.5 -37,149.5 -34.5,147.5 -34.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 953719 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007589-251120083545085/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.29203982
title: Ci_RH_TempCSV.csv

description: these data look at the viability of pollen after storage at various temps and RH of Cattleya intermedia
DOI: 10.6084/m9.figshare.29203982.v1
title: Ci_RH_TempCSV.csv

description: these data look at the viability of pollen after storage at various temps and RH of Cattleya intermedia
DOI: 10.15468/dl.njg9qy
title: Occurrence Download

description: A dataset containing 3250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corythucha arcuata (Say, 1832)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3250 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009627-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfrqpr
title: Occurrence Download

description: A dataset containing 2249 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Digitaria exilis (Kippist) Stapf"
 ]
}

 The dataset includes 2249 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009929-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tpdng
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus arizonica Sarg.)",
 "Continent is North America",
 "BasisOfRecord is Specimen",
 "TaxonomicStatus is Accepted",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "TypeStatus" : [
 "is one of (Holotype, Isotype, Syntype, Type)"
 ]
 }
 },
 "EstablishmentMeans is NATIVE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007251-250525065834625/datasets/export for details.
DOI: 10.7910/dvn/twz4jf
title: Placement Preference Task

description: Placement Preference Task
DOI: 10.15468/dl.tnjx3m
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aristida stricta Michx.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 42 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007253-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxwnk8
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Trichechus inunguis (Natterer, 1883), Celeus flavus subflavus P.L.Sclater & Salvin, 1877)"
 ]
}

 The dataset includes 35 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016044-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgsrhx
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016043-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15166883
title: International data protection requirements interviews

description: This dataset comprises semi-structured interviews conducted with domain experts in data protection and privacy regulations from various jurisdictions. All interviewee have formal legal education or are recognized as experts in the domain (ex: data protection authority, known authors/speakers). The purpose of the interviews is to identify common and divergent data protection regulatory requirements that impact transborder personal data flows and compliance in multiple systems.

The database includes transcripts of expert interviews that have been made publicly available, upon informed and explicit consent from the participants. By default, all interviews are anonymized to protect the identity of the participants and to reduce potential bias during analysis. Other interviews may be available upon request, and other are kept confidential depending on the participants consent.

The files have been named in the following manner: [COUNTRY OF EXPERTISE]-[Random letters]. This way, when referring to the specific subject, we can identify them this way.

Transcripts were done with AI models upon the consent of the subject. The section in bold represent the interviewer, and normal font is the interviewee. For more details on the transcription purpose, you can check here [unavailable for reviewing reasons]

In addition we have included a detailed codebook used to support qualitative analysis. The codebook provides definitions for each code used. When new codes emerged, these were added to the codebook with appropriate annotation (ex: labelled as new), including a definition and possibly verbatims.

For more information, please refer to [unavailable for reviewing reasons]
DOI: 10.5281/zenodo.15183928
title: International data protection requirements interviews

description: This dataset comprises semi-structured interviews conducted with domain experts in data protection and privacy regulations from various jurisdictions. All interviewee have formal legal education or are recognized as experts in the domain (ex: data protection authority, known authors/speakers). The purpose of the interviews is to identify common and divergent data protection regulatory requirements that impact transborder personal data flows and compliance in multiple systems.

The database includes transcripts of expert interviews that have been made publicly available, upon informed and explicit consent from the participants. By default, all interviews are anonymized to protect the identity of the participants and to reduce potential bias during analysis. Other interviews may be available upon request, and other are kept confidential depending on the participants consent.

The files have been named in the following manner: [COUNTRY OF EXPERTISE]-[Random letters]. This way, when referring to the specific subject, we can identify them this way.

Transcripts were done with AI models upon the consent of the subject. The section in bold represent the interviewer, and normal font is the interviewee. For more details on the transcription purpose, you can check here [unavailable for reviewing reasons]

In addition we have included a detailed codebook used to support qualitative analysis. The codebook provides definitions for each code used. When new codes emerged, these were added to the codebook with appropriate annotation (ex: labelled as new), including a definition and possibly verbatims.

The guiding semi-structured interview and blinded consent form are included. 

For more information, please refer to [unavailable for reviewing reasons]
DOI: 10.6084/m9.figshare.26880043
title: <b>Evidence of two types of coordinated vocalizations used in different territorial defence contexts by an Asian cooperative breeder</b>

description: Avian vocal systems serve different functions depending on context. Cooperative breeders have more complex communication systems than pair-breeding species due to their relatively complex social systems, but we still have a limited knowledge of these, especially in species producing coordinated vocalizations. In addition, it is unclear if coordinated vocalizations can be context-dependent in passerine species. Here, we describe for the first time the vocal system of an Asian cooperative breeder, the Masked Laughingthrush<i> Pterorhinus perspicillatus</i>, and test if this species uses different duets in different territory defence contexts. Based on 789 vocalizations from 23 groups, we found that Masked Laughingthrushes produced complex vocal repertoires containing at least 11 vocalization types, including eight typical call types, three duet types, and one chorus. Typical calls served cohesion, vigilance, and begging functions. According to playback experiments, the groups responded to solos and duets with equal strength, and most group members approached the loudspeaker together, which suggested that the type 1 duet functioned as territorial defence. More importantly, we found that one duet type (type 1 duet) was used in the absence of neighbors during territory advertisement, while another type (type 2 duet) was elicited during encounters with other groups. Our study unveiled that the Masked Laughingthrush appears to be the first passerine species reported to use distinct duet types for different territory defence contexts.
DOI: 10.6084/m9.figshare.26880043.v2
title: <b>Evidence of two types of coordinated vocalizations used in different territorial defence contexts by an Asian cooperative breeder</b>

description: Avian vocal systems serve different functions depending on context. Cooperative breeders have more complex communication systems than pair-breeding species due to their relatively complex social systems, but we still have a limited knowledge of these, especially in species producing coordinated vocalizations. In addition, it is unclear if coordinated vocalizations can be context-dependent in passerine species. Here, we describe for the first time the vocal system of an Asian cooperative breeder, the Masked Laughingthrush<i> Pterorhinus perspicillatus</i>, and test if this species uses different duets in different territory defence contexts. Based on 789 vocalizations from 23 groups, we found that Masked Laughingthrushes produced complex vocal repertoires containing at least 11 vocalization types, including eight typical call types, three duet types, and one chorus. Typical calls served cohesion, vigilance, and begging functions. According to playback experiments, the groups responded to solos and duets with equal strength, and most group members approached the loudspeaker together, which suggested that the type 1 duet functioned as territorial defence. More importantly, we found that one duet type (type 1 duet) was used in the absence of neighbors during territory advertisement, while another type (type 2 duet) was elicited during encounters with other groups. Our study unveiled that the Masked Laughingthrush appears to be the first passerine species reported to use distinct duet types for different territory defence contexts.