cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25934/00006469
title: A Randomized Multicenter, Double-Blind, Placebo-Controlled Comparison of Chemotherapy Plus Trastuzumab Plus Placebo Versus Chemotherapy Plus Trastuzumab Plus Pertuzumab as Adjuvant Therapy in Patients With Operable HER2-Positive Primary Breast Cancer

description: This randomized, double-blind, placebo-controlled, two-arm study will assess the safety and efficacy of pertuzumab in addition to chemotherapy plus trastuzumab as adjuvant therapy in participants with operable HER2-positive primary breast cancer. This study will be carried out in collaboration with the Breast International Group (BIG).
DOI: 10.25934/00006525
title: An Observational Study of Cardiac Events in Patients With HER2 Positive Early Breast Cancer Treated With Herceptin

description: This is a single cohort observational safety study. All patients will be treated and monitored according to the local clinical practice. No additional procedures/patient visits in comparison with the usual clinical practice are planned for the study. Data will be collected from centre's medical records for up to 5 years or death.
DOI: 10.25934/00006526
title: A Multicenter, Multinational Phase II Study to Assess the Clinical Safety and Feasibility of Trastuzumab Emtansine Sequentially With Anthracycline-based Chemotherapy, as Adjuvant or Neoadjuvant Therapy for Patients With Early Stage HER2-positive Breast Cancer

description: This single-arm open-label study assessed the safety, feasibility, and efficacy of trastuzumab emtansine (T-DM1) after the completion of anthracycline-based adjuvant/neoadjuvant chemotherapy in patients with early HER2-positive breast cancer. Patients received T-DM1 3.6 mg/kg intravenously on Day 1 of each 3-week cycle, for up to 17 cycles.
DOI: 10.25934/00006653
title: A Multicenter Randomized Phase III Study to Compare the Combination Trastuzumab and Capecitabine, With or Without Pertuzumab, in Patients With HER2-Positive Metastatic Breast Cancer That Have Progressed After One Line of Trastuzumab-Based Therapy in the Metastatic Setting (PHEREXA)

description: This randomized, two-arm study evaluated the efficacy and safety of a combination of trastuzumab and capecitabine with or without pertuzumab in patients with human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer. The study population consisted of female patients, whose disease had progressed during or following previous trastuzumab therapy for metastatic disease. All patients in Arm A and Arm B received trastuzumab (8 mg/kg iv as loading dose and then 6 mg/kg iv every 3 weeks thereafter) and capecitabine oral twice daily for 14 days every 3 weeks (1250 mg/m2 twice daily in Arm A and 1000 mg/m2 twice daily in Arm B). In addition, patients in Arm B received pertuzumab (840 mg iv as loading dose and then 420 mg iv thereafter) every 3 weeks. Study treatment continued until disease progression or unacceptable toxicity.
DOI: 10.25934/00006725
title: A Randomized, Multicenter, Open-Label Phase III Study to Evaluate the Efficacy and Safety of Trastuzumab Emtansine Versus Trastuzumab as Adjuvant Therapy for Patients With HER2-Positive Primary Breast Cancer Who Have Residual Tumor Present Pathologically in the Breast or Axillary Lymph Nodes Following Preoperative Therapy

description: This 2-arm, randomized, open-label study will evaluate the efficacy and safety of trastuzumab emtansine versus trastuzumab as adjuvant therapy in patients with HER2-positive breast cancer who have residual tumor present in the breast or axillary lymph nodes following preoperative therapy. Eligible patients will be randomized to receive either trastuzumab emtansine 3.6 mg/kg or trastuzumab 6 mg/kg intravenously every 3 weeks for 14 cycles. Radiotherapy and/or hormone therapy will be given in addition if indicated.
DOI: 10.15468/dl.23n84m
title: Occurrence Download

description: A dataset containing 4914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121.85317 37.28921,-121.85317 37.3674,-121.95662 37.3674,-121.95662 37.28921,-121.85317 37.28921))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 4914 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033518-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa7te5
title: Occurrence Download

description: A dataset listing the 83 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.84296 8.63489,-79.81985 8.62815,-79.82889 8.63953,-79.82714 8.65088,-79.81725 8.65582,-79.80416 8.65291,-79.80183 8.66048,-79.78961 8.66979,-79.77739 8.67211,-79.76139 8.68171,-79.75965 8.69684,-79.75616 8.7175,-79.75412 8.72622,-79.76314 8.75066,-79.77158 8.78411,-79.7675 8.80739,-79.75461 8.82024,-79.74852 8.83902,-79.73634 8.85322,-79.72112 8.86337,-79.71046 8.87301,-79.68611 8.88367,-79.66734 8.88874,-79.64501 8.89381,-79.61863 8.89483,-79.60036 8.89686,-79.56789 8.90244,-79.54513 8.93753,-79.53713 8.9632,-79.52493 8.99686,-79.52325 9.02758,-79.52787 9.03347,-79.53142 9.03416,-79.53963 9.04251,-79.55335 9.05221,-79.57559 9.07071,-79.59274 9.08324,-79.60781 9.09712,-79.62617 9.11174,-79.65362 9.11652,-79.66835 9.11909,-79.68154 9.11656,-79.74446 9.11402,-79.75055 9.09677,-79.75258 9.07039,-79.75917 9.04958,-79.77947 9.02776,-79.78308 8.99509,-79.82132 8.94225,-79.85176 8.92195,-79.87996 8.87287,-79.89255 8.82345,-79.88678 8.79004,-79.89366 8.75656,-79.89684 8.71997,-79.89525 8.69531,-79.89223 8.66375,-79.87868 8.64053,-79.86165 8.6324,-79.84296 8.63489))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EN, VU, CR)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 83 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033503-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/7000
title: PhySynthTrainer
DOI: 10.15468/dl.4rtvyn
title: Occurrence Download

description: A dataset containing 232927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((89 26, 91 26, 91 27, 89 27, 89 26))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 232927 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033463-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukdeyw
title: Occurrence Download

description: A dataset containing 443 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lissotriton italicus"
 ]
}

 The dataset includes 443 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033521-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycz6pf
title: Occurrence Download

description: A dataset containing 70549 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xiphocolaptes"
 ]
}

 The dataset includes 70549 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033486-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17609314
title: Multimodal atmospheric characterization of β Pictoris b: Adding high-resolution continuum spectra from GRAVITY
title: Observations & Models

description: We present the first VLTI/GRAVITY observations at R~4000 of Beta Pic b. These four high S/N (~20) K-band spectra conserve both the pseudo-continuum and molecular absorption patterns. We analyze them with four self-consistent forward model grids (Exo-REM, ATMO, BT-Settl, Sonora) exploring Teff, log(g), metallicity, C/O, and, 12CO/13CO ratio. We also upgrade our forward modeling code ForMoSA to account for the data multi-modality and combine the GRAVITY epochs with published 1-5 µm photometry, low- to medium-resolution spectra (0.9-7 µm), and high-resolution echelle spectra (2.1-5.2 µm). 

This repository includes all the observations and a useful set of outputs from the inversion analyses, including best-fit models. A README file is included to document the file structure, units, and relevant references. You may also find an additional exemple.ipynb notebook to help you extract the data.
DOI: 10.5281/zenodo.17609313
title: Multimodal atmospheric characterization of β Pictoris b: Adding high-resolution continuum spectra from GRAVITY
title: Observations & Models

description: We present the first VLTI/GRAVITY observations at R~4000 of Beta Pic b. These four high S/N (~20) K-band spectra conserve both the pseudo-continuum and molecular absorption patterns. We analyze them with four self-consistent forward model grids (Exo-REM, ATMO, BT-Settl, Sonora) exploring Teff, log(g), metallicity, C/O, and, 12CO/13CO ratio. We also upgrade our forward modeling code ForMoSA to account for the data multi-modality and combine the GRAVITY epochs with published 1-5 µm photometry, low- to medium-resolution spectra (0.9-7 µm), and high-resolution echelle spectra (2.1-5.2 µm). 

This repository includes all the observations and a useful set of outputs from the inversion analyses, including best-fit models. A README file is included to document the file structure, units, and relevant references. You may also find an additional exemple.ipynb notebook to help you extract the data.
DOI: 10.5281/zenodo.14994375
title: Source Data for: Generative learning of morphological and contrast heterogeneities for self-supervised electron micrograph segmentation

description: Related data for EMcopilot. Below is the hierarchical structure of the dataset. If you are using this dataset in your publication, please cite our paper:  npj Comput. Mater. 11, 322 (2025). https://doi.org/10.1038/s41524-025-01800-5.

Declare: EMcopilot has been registered as a trademark by the Intellectual Property Office of Singapore, No. 40202319264T.



- EMcopilot_dataset/

    - 01_experimental_images/

        - 01_01_PtSn_Al2O3_nanoparticle/

        - 01_02_PtSn_Al2O3_cluster/

        - 01_03_Au_ZSM5/

    - 02_manual_labels/

        - 02_01_PtSn_Al2O3_nanoparticle/

        - 02_02_PtSn_Al2O3_cluster/

        - 02_03_Au_ZSM5/

    - 03_SAM_masks/

        - 03_01_PtSn_Al2O3_nanoparticle/

        - 03_02_PtSn_Al2O3_cluster/

    - 04_generated_masks/

        - 04_01_PtSn_Al2O3_nanoparticle/

    - 05_synthetic_images/

        - 05_01_PtSn_Al2O3_nanoparticle/

    - 06_adapted_images/

        - 06_01_PtSn_Al2O3_nanoparticle/

    - 07_model_checkpoints_pix2pix/

        - 07_01_PtSn_Al2O3_nanoparticle/

        - 07_02_PtSn_Al2O3_cluster/

        - 07_03_Au_ZSM5/

        - 07_04_Pd_C/

        - 07_05_SACs/

    - 08_model_checkpoints_CBAMUNet++/

        - 08_01_EMcopilot_trained/

        - 08_02_manual_labeling_trained/

        - 08_03_five_shot_hybrid__trained/
DOI: 10.5281/zenodo.14791390
title: Source Data for: Generative learning of morphological and contrast heterogeneities for self-supervised electron micrograph segmentation

description: Related data for EMcopilot. Below is the hierarchical structure of the dataset. If you are using this dataset in your publication, please cite our paper:  npj Comput. Mater. 11, 322 (2025). https://doi.org/10.1038/s41524-025-01800-5.

Declare: EMcopilot has been registered as a trademark by the Intellectual Property Office of Singapore, No. 40202319264T.



- EMcopilot_dataset/

    - 01_experimental_images/

        - 01_01_PtSn_Al2O3_nanoparticle/

        - 01_02_PtSn_Al2O3_cluster/

        - 01_03_Au_ZSM5/

    - 02_manual_labels/

        - 02_01_PtSn_Al2O3_nanoparticle/

        - 02_02_PtSn_Al2O3_cluster/

        - 02_03_Au_ZSM5/

    - 03_SAM_masks/

        - 03_01_PtSn_Al2O3_nanoparticle/

        - 03_02_PtSn_Al2O3_cluster/

    - 04_generated_masks/

        - 04_01_PtSn_Al2O3_nanoparticle/

    - 05_synthetic_images/

        - 05_01_PtSn_Al2O3_nanoparticle/

    - 06_adapted_images/

        - 06_01_PtSn_Al2O3_nanoparticle/

    - 07_model_checkpoints_pix2pix/

        - 07_01_PtSn_Al2O3_nanoparticle/

        - 07_02_PtSn_Al2O3_cluster/

        - 07_03_Au_ZSM5/

        - 07_04_Pd_C/

        - 07_05_SACs/

    - 08_model_checkpoints_CBAMUNet++/

        - 08_01_EMcopilot_trained/

        - 08_02_manual_labeling_trained/

        - 08_03_five_shot_hybrid__trained/
DOI: 10.5281/zenodo.17609928
title: Replication Data for: Market Reactions to Corporate Disclosures (Anonymized Version for Peer Review)
DOI: 10.5281/zenodo.17609927
title: Replication Data for: Market Reactions to Corporate Disclosures (Anonymized Version for Peer Review)
DOI: 10.5281/zenodo.17609763
title: Finite Element-Based Monte Carlo Simulation Data for Hygromechanical Deformation of Cross-Laminated Timber with Variable Pith Positions and Growth-Ring Curvature

description: This dataset contains finite element input files and simulation results used to analyse the influence of pith position and growth-ring curvature on hygromechanical deformation in cross-laminated timber (CLT). The dataset includes CalculiX .inp models defining the CLT cross-section, material orientations, and boundary conditions, as well as the full Monte Carlo results for 10⁴ pith-position realisations. The MC_results.csv file provides pith coordinates, node displacements, and computed shrinkage values for all realisations at three representative nodes. The Reference_results.csv file contains results for two Cartesian reference models with uniform lamella orientations (R || x and T || x). This dataset enables full reproducibility of the numerical study, supports further statistical or machine-learning analyses, and provides a benchmark for hygromechanical finite element modelling of CLT.
DOI: 10.5281/zenodo.17609762
title: Finite Element-Based Monte Carlo Simulation Data for Hygromechanical Deformation of Cross-Laminated Timber with Variable Pith Positions and Growth-Ring Curvature

description: This dataset contains finite element input files and simulation results used to analyse the influence of pith position and growth-ring curvature on hygromechanical deformation in cross-laminated timber (CLT). The dataset includes CalculiX .inp models defining the CLT cross-section, material orientations, and boundary conditions, as well as the full Monte Carlo results for 10⁴ pith-position realisations. The MC_results.csv file provides pith coordinates, node displacements, and computed shrinkage values for all realisations at three representative nodes. The Reference_results.csv file contains results for two Cartesian reference models with uniform lamella orientations (R || x and T || x). This dataset enables full reproducibility of the numerical study, supports further statistical or machine-learning analyses, and provides a benchmark for hygromechanical finite element modelling of CLT.
DOI: 10.15468/dl.mqpjhk
title: Occurrence Download

description: A dataset containing 991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-70.98773 42.44019,-70.98773 42.47729,-71.02771 42.47729,-71.02771 42.44019,-70.98773 42.44019))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 991 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033522-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20366/unimib/unidata/sn247-1.0
title: Citizens and value of digital data (2022-2023)
title: I cittadini e il valore dei dati digitali (2022-2023)

description: The study aims to investigate people's awareness regarding the potential use of their data by platforms and administrations, as well as the motivations behind their caution or willingness to share data with public or private entities. Additionally, it seeks to understand the reasons driving citizens to adopt privacy-protective behaviors.<br>
The dataset used in this research includes responses to a questionnaire that captured users' sociodemographic characteristics, political preferences, their level of knowledge on privacy-related topics, and answers to a series of specific questions designed to analyze citizens' attitudes towards granting their data to third parties.<br>
Data collection was conducted through a survey conducted via online interviews (CAWI) for two-thirds of the sample and through telephone interviews (CATI) for the remaining third.<br>
<br>
More specifically, the following topics were discussed:<br>

- possession of digital devices, and operating system used<br>
- frequency of use of digital device features<br>
- subscriptions to social networks<br>
- collection of personal data by digital platforms: types of data collected and legal aspects<br>
- use of personal data by public administrations<br>
- trust in digital companies<br>
- measures taken to protect personal data<br>
- willingness to pay for platform subscriptions to better protect personal data and/or willingness to receive money in exchange for giving up more personal data<br>
- ability to effectively protect personal data<br>
- interest in seeing ads and news on platforms that correspond to your preferences<br>
- access to devices and platforms by children and young people.<br>
description: Analysis Unit: individual<br>Universe: residents in Italy aged 18 and over<br>Sample Procedure: 3,156 individuals. For sampling design see the documentation<br>Weight: No weight used<br>Collection Mode: Computer-Assisted Telephone Interviewing (CATI), web-based self-administered questionnaire (CAWI)
DOI: 10.15468/dl.6w6qvf
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is VU",
 "TaxonKey is one of (Nymphargus ruizi, Nymphargus, Nymphargus ocellatus, Nymphargus griffithsi, Nymphargus mixomaculatus, Nymphargus grandisonae, Nymphargus lindae, Nymphargus bejaranoi, Nymphargus truebae, Nymphargus phenax)"
 ]
}

 The dataset includes 81 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033523-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zj5t6e
title: Occurrence Download

description: A dataset containing 3234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Gorilla"
 ]
}

 The dataset includes 3234 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033524-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.my6guc
title: Occurrence Download

description: A dataset containing 1030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Gorilla"
 ]
}

 The dataset includes 1030 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033525-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17611012
title: Practical_7_Data
DOI: 10.5281/zenodo.17611011
title: Practical_7_Data
DOI: 10.15468/dl.2rt82v
title: Occurrence Download

description: A dataset containing 1926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Pan"
 ]
}

 The dataset includes 1926 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033527-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240301
title: Highway Performance Monitoring System (HPMS) - Geospatial Data part 1

description: <b>Description from the original website</b><br>The Federal Highway Administration (FHWA) has been receiving Highway
inventory, usage, condition and performance data from State Departments of
Transportation (DOT) since 1978 to support the program mission of the FHWA.
Specifically, HPMS consists of detailed road segment data for
higher order systems, sample attributes for collector systems, and summary data
for the local roads.States DOTs submit HPMS data annually to the FHWA following a prescribed format outlined in the HPMS Field Manual. New requirements for HPMS took effect in 2014 that required State DOTs 
to expand their Linear Referencing Systems (LRS), a statewide
geospatial representation of their road system that includes all public 
roads.
This requirement was put in place to support highway safety.<br>HPMS
 public data consists of geospatial reference files and several tables 
(County Summaries, Urban Summaries, Statewide Summaries, Non-Federal Aid
 Summaries, and Roadway Sections). Also included in the HPMS public data
 is the Sample Table. State Departments of Transportation provide these
 data tables every June following the data year it represents. 
Generally, these files will be available to the public by September, 
after FHWA's review and acceptance of the data. The FHWA does not alter 
the data provided by State DOTs other than removing data that fails 
basic format violations. <br>The
following views of HPMS are intended to provide flexibility for different user
groups to effectively analyze the data in HPMS in the most efficient manne<b>r.</b><br><b>Comments</b><b><br></b><b></b>The HPMS data sets are split into three parts. This first part are geospatial data for the years of 2018 to 2024. The data sets are provided in geopackage (gpkg) format. The second part comprises the years 2011 to 2017 and are in shape file format. The third part are tabular data provided as CSV. The Data Element Dictionary and the HPMS Field Manual are included for reference.