cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25934/pr00011807
title: Genomic Instability as a Biomarker of Response in Non–Small Cell Lung Cancer: Secondary Analysis of CheckMate 026

description: Lung cancer is one of the most common and deadly cancers worldwide, affecting millions of people each year. Our immune system can sometimes recognize and attack cancer cells, and certain treatments called immunotherapies help strengthen this response. However, not all patients benefit equally from immunotherapy, and finding reliable ways to predict who will respond best is a major challenge in cancer care. 

We will focus on two important features of how cancer cells become unstable over time. The first is called Tumor Mutation Burden (TMB), which refers to the total number of genetic changes, or mutations, that occur in a tumor’s DNA (the molecule that carries our genetic information). A high TMB may make the cancer more recognizable to the immune system. The second feature is Copy Number Alterations (CNA), which are large-scale changes in the number of copies of certain genes within cancer cells. These changes can help tumors hide from the immune system and make treatment less effective. Although both TMB and CNA describe genetic instability, they represent different ways that cancer develops. 

In this research, we will analyze data from the CheckMate 026 clinical trial, which tested immunotherapy in people with non-small cell lung cancer. Using this existing data, we will study whether combining TMB and CNA gives a clearer picture of which patients are most likely to benefit from immunotherapy than looking at either marker alone. 

We will conduct a secondary analysis, meaning that we will use data already collected from the CheckMate 026 study rather than recruiting new patients. We will use statistical methods to compare patient outcomes and assess whether the combination of TMB and CNA can predict who responds best to treatment. 

By improving how we identify patients who are more likely to benefit from immunotherapy, we hope this research will help doctors personalize treatment decisions. In the long term, our findings could contribute to better outcomes and fewer unnecessary treatments for people living with non-small cell lung cancer.
DOI: 10.17605/osf.io/fv5ys
title: Geographical and Gender Diversity in Cochrane and non-Cochrane Reviews Authorship: A Meta-Research Study

description: The aim of this study was to examine the distribution of country, region, language, and gender diversity in the authorship of Cochrane and non-Cochrane systematic reviews.
DOI: 10.25318/3310108601-fra
title: Taux d’évolution prévu des salaires moyen au cours des 12 prochains mois, quatrième trimestre de 2025

description: Taux d’évolution prévu des salaires moyen au cours des 12 prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, quatrième trimestre de 2025.
DOI: 10.5517/ccdc.csd.cc2kw880
title: CCDC 2379692: Experimental Crystal Structure Determination

description: Related Article: Peiyao Pan|2024|CSD Communication|||
description: Related Article: Peiyao Pan, Weinan Dong, Wentao Huang, Xue Bai, Zhennan Wu, Xi Kang, Manzhou Zhu|2025|Nat.Commun.|16|10065|doi:10.1038/s41467-025-65024-3
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kw8c3
title: CCDC 2379695: Experimental Crystal Structure Determination

description: Related Article: Peiyao Pan|2024|CSD Communication|||
description: Related Article: Peiyao Pan, Weinan Dong, Wentao Huang, Xue Bai, Zhennan Wu, Xi Kang, Manzhou Zhu|2025|Nat.Commun.|16|10065|doi:10.1038/s41467-025-65024-3
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.4gx759
title: Occurrence Download

description: A dataset containing 1225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Nymphoides humboldtiana"
 ]
}

 The dataset includes 1225 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020975-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/oeyzlp
title: PAN-00173052 - devotional pendant Modern period

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00173052&lt;/p&gt;
description: Modified: 2025-04-28T14:41:19+02:00
DOI: 10.15468/dl.vz9j32
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Geometry POLYGON ((-115.3916 35.40487, -115.3912 35.40489, -115.3907 35.40492, -115.3902 35.40498, -115.3897 35.40506, -115.3893 35.40515, -115.3888 35.40527, -115.3884 35.40541, -115.3879 35.40556, -115.3875 35.40574, -115.3871 35.40593, -115.3867 35.40614, -115.3863 35.40637, -115.3859 35.40662, -115.3856 35.40687, -115.3853 35.40715, -115.3849 35.40744, -115.3846 35.40774, -115.3844 35.40806, -115.3841 35.40838, -115.3839 35.40872, -115.3836 35.40907, -115.3835 35.40942, -115.3833 35.40979, -115.3831 35.41016, -115.383 35.41053, -115.3829 35.41091, -115.3829 35.4113, -115.3828 35.41168, -115.3828 35.41207, -115.3827 35.41466, -115.3827 35.41504, -115.3828 35.41543, -115.3828 35.41582, -115.3829 35.4162, -115.383 35.41658, -115.3831 35.41696, -115.3833 35.41732, -115.3835 35.41769, -115.3837 35.41804, -115.3839 35.41838, -115.3841 35.41871, -115.3844 35.41904, -115.3847 35.41935, -115.385 35.41964, -115.3853 35.41993, -115.3857 35.4202, -115.386 35.42045, -115.3864 35.42069, -115.3868 35.42091, -115.3872 35.42111, -115.3876 35.4213, -115.3881 35.42146, -115.3885 35.42161, -115.389 35.42174, -115.3894 35.42185, -115.3899 35.42194, -115.3904 35.42201, -115.3908 35.42206, -115.3913 35.42209, -115.3918 35.42209, -115.3959 35.42207, -115.3963 35.42205, -115.3968 35.42202, -115.3973 35.42197, -115.3977 35.42189, -115.3982 35.4218, -115.3986 35.42169, -115.3991 35.42156, -115.3995 35.42141, -115.3999 35.42124, -115.4004 35.42105, -115.4008 35.42085, -115.4011 35.42063, -115.4015 35.42039, -115.4019 35.42014, -115.4022 35.41987, -115.4025 35.41959, -115.4028 35.41929, -115.4031 35.41899, -115.4034 35.41867, -115.4036 35.41834, -115.4038 35.418, -115.404 35.41765, -115.4042 35.41729, -115.4044 35.41693, -115.4045 35.41656, -115.4046 35.41618, -115.4047 35.4158, -115.4047 35.41542, -115.4048 35.41504, -115.4048 35.41465, -115.4047 35.41222, -115.4047 35.41184, -115.4047 35.41145, -115.4046 35.41107, -115.4045 35.4107, -115.4044 35.41033, -115.4043 35.40996, -115.4041 35.4096, -115.4039 35.40925, -115.4037 35.4089, -115.4035 35.40857, -115.4032 35.40824, -115.4029 35.40793, -115.4027 35.40763, -115.4023 35.40734, -115.402 35.40707, -115.4017 35.40681, -115.4013 35.40656, -115.4009 35.40633, -115.4005 35.40612, -115.4001 35.40592, -115.3997 35.40574, -115.3993 35.40558, -115.3988 35.40544, -115.3984 35.40532, -115.3979 35.40521, -115.3975 35.40513, -115.397 35.40507, -115.3966 35.40502, -115.3961 35.405, -115.3921 35.40487, -115.3916 35.40487))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020976-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17780832
title: Computational Thinking and Artificial Intelligence
DOI: 10.5281/zenodo.17780833
title: Computational Thinking and Artificial Intelligence
DOI: 10.15468/dl.kxuagg
title: Occurrence Download

description: A dataset containing 455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepus arcticus",
 "Year 2000-2025"
 ]
}

 The dataset includes 455 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020978-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00008577
title: The impact of long-term proton pump inhibitors use on the prognosis of patients receiving Androgen-annihilation therapy

description: Prostate cancer (PCa) is the second most commonly diagnosed cancer and the fifth leading cause of cancer- related deaths among men worldwide, with an estimated 1,414,259 new cancer cases and 375,304 deaths in 2020. Androgen-annihilation therapy (Abiraterone, Enzalutamide, Darolutamide etc. plus prednisone), which reduces the level of male hormones, called androgens, in the body to stop them from fuelling prostate cancer cell growth, has become the standard treatment for castrate-resistant prostate cancer (CRPC) patients. CRPC is a prostate cancer that keeps growing even when the amount of  male hormone testosterone is reduced in the body to very low levels.
Proton pump inhibitors (PPI) are a common medication used for the treatment of heartburn and stomach acid-related disorders. They are widely used in the general population including patients with prostate cancer. PPIs affect the acidity of the gastrointestinal tract and this can affect the amount of and the rate at which other medicines reach the blood system. In previous studies PPIs have been shown to improve the outcomes for patients undergoing treatment for bladder cancer, cancer of the oesophagus and non-small cell lung cancer. However, it is not known whether PPIs affect the prognosis of patients having androgen-annihilation therapy.
Our research will include studies looking at three different androgen-annihilation therapies (Abiraterone, Apalutamide and Darolutamide). The studies included also cover patients with prostate cancer which has spread to other parts of the body or metastasized (mCRPC) and patients with prostate cancer which has not spread (nmCRPC), increasing the range of patients who may benefit from the analysis.
Our research, whether the final result is positive or negative, will improve clinicians and patients' understanding of Androgen-annihilation therapy combined with PPI drugs. If our study shows that PPI drug use is beneficial to the prognosis of prostate cancer patients receiving Androgen-annihilation therapy, we may encourage patients to take PPI at the same time in the future treatment process. In contrast, if the outcome is negative, we may advise patients temporarily stop taking PPIs when receiving Androgen-annihilation therapy. If there is no association between long-term PPI use and the prognosis of Androgen-annihilation therapy, it will also eliminate clinicians’ concern about whether to continue using PPIs when patients are receiving Androgen-annihilation therapy.
DOI: 10.25934/pr00008419
title: A Multinational, Randomised, Double-blind, Placebo-controlled, Phase III Efficacy and Safety Study of Darolutamide (ODM-201) in Men With High-risk Non-metastatic Castration-resistant Prostate Cancer

description: The purpose of this study is to assess the safety and efficacy of BAY1841788 (ODM-201) in patients with non-metastatic castration-resistant prostate cancer.
DOI: 10.17026/ar/od9j8z
title: PAN-00171710 - simple ceramic gaming piece

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00171710&lt;/p&gt;
description: Modified: 2025-04-26T11:34:52+02:00
DOI: 10.15468/dl.bb6huy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Geometry POLYGON ((-115.661 35.05239, -115.6605 35.05245, -115.66 35.05254, -115.6596 35.05264, -115.6591 35.05276, -115.6587 35.05289, -115.6583 35.05305, -115.6578 35.05323, -115.6574 35.05342, -115.657 35.05363, -115.6567 35.05386, -115.6563 35.0541, -115.6559 35.05436, -115.6556 35.05464, -115.6553 35.05492, -115.655 35.05523, -115.6547 35.05554, -115.6545 35.05586, -115.6542 35.0562, -115.654 35.05654, -115.6538 35.0569, -115.6537 35.05726, -115.6535 35.05762, -115.6534 35.058, -115.6533 35.05838, -115.6532 35.05876, -115.6532 35.05914, -115.6532 35.05953, -115.6532 35.05991, -115.6533 35.06258, -115.6533 35.06296, -115.6533 35.06334, -115.6534 35.06371, -115.6535 35.06408, -115.6536 35.06445, -115.6538 35.06481, -115.6539 35.06516, -115.6541 35.06551, -115.6543 35.06585, -115.6546 35.06617, -115.6548 35.06649, -115.6551 35.0668, -115.6554 35.0671, -115.6557 35.06738, -115.656 35.06765, -115.6564 35.0679, -115.6567 35.06815, -115.6571 35.06837, -115.6575 35.06858, -115.6579 35.06877, -115.6583 35.06895, -115.6587 35.06911, -115.6591 35.06925, -115.6596 35.06937, -115.66 35.06947, -115.6605 35.06956, -115.6609 35.06963, -115.6614 35.06967, -115.6618 35.0697, -115.6623 35.06971, -115.6661 35.06969, -115.6665 35.06968, -115.667 35.06964, -115.6675 35.06959, -115.6679 35.06952, -115.6684 35.06943, -115.6688 35.06932, -115.6692 35.0692, -115.6697 35.06905, -115.6701 35.06889, -115.6705 35.0687, -115.6709 35.0685, -115.6713 35.06829, -115.6717 35.06806, -115.672 35.06781, -115.6723 35.06755, -115.6727 35.06728, -115.673 35.06699, -115.6733 35.06669, -115.6735 35.06637, -115.6738 35.06605, -115.674 35.06572, -115.6742 35.06537, -115.6744 35.06502, -115.6745 35.06467, -115.6747 35.0643, -115.6748 35.06393, -115.6749 35.06356, -115.6749 35.06318, -115.675 35.0628, -115.675 35.06242, -115.675 35.06204, -115.675 35.06166, -115.6749 35.06129, -115.6744 35.05841, -115.6743 35.05804, -115.6742 35.05767, -115.6741 35.0573, -115.6739 35.05694, -115.6738 35.05658, -115.6736 35.05623, -115.6734 35.05589, -115.6731 35.05557, -115.6729 35.05525, -115.6726 35.05494, -115.6723 35.05464, -115.672 35.05436, -115.6716 35.05409, -115.6713 35.05384, -115.6709 35.0536, -115.6706 35.05338, -115.6702 35.05317, -115.6698 35.05298, -115.6693 35.05281, -115.6689 35.05266, -115.6685 35.05252, -115.668 35.05241, -115.6676 35.05231, -115.6671 35.05223, -115.6667 35.05217, -115.6662 35.05213, -115.6657 35.05211, -115.6653 35.05211, -115.6648 35.05213, -115.6614 35.05235, -115.661 35.05239))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020979-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3310108701-eng
title: Reasons for expecting an increase in average wages over the next 12 months, fourth quarter of 2025

description: Reasons for expecting an increase in average wages over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2025.
DOI: 10.5281/zenodo.17781318
title: Authors and Rebloggers from Mastodon
title: Autores y reblogueadores de Mastodon

description: These two datasets were generated using the official Mastodon API for trends toots. An author is a user who publishes a new toot whereas a reblogger is a user who reblogs a toot. Using these two files you can generate a Mastodon's reblog graph
DOI: 10.17026/ar/fuzsre
title: PAN-00104033 - coin/coin-related, Constantinus II (337-340), nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00104033&lt;/p&gt;
description: Modified: 2025-04-28T10:18:55+02:00
DOI: 10.34740/kaggle/dsv/13949223
title: Mexico Job Market Dataset — 2025
DOI: 10.15468/dl.rqf3vz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Geometry POLYGON ((-114.9588 36.44258, -114.9584 36.44264, -114.9579 36.44272, -114.9575 36.44281, -114.957 36.44293, -114.9566 36.44306, -114.9562 36.44321, -114.9557 36.44337, -114.9553 36.44356, -114.955 36.44376, -114.9546 36.44397, -114.9542 36.4442, -114.9539 36.44445, -114.9535 36.44471, -114.9532 36.44498, -114.9529 36.44527, -114.9527 36.44556, -114.9524 36.44587, -114.9522 36.44619, -114.9519 36.44652, -114.9518 36.44685, -114.9516 36.4472, -114.9514 36.44755, -114.9513 36.44791, -114.9512 36.44827, -114.9511 36.44863, -114.951 36.44918, -114.9509 36.44955, -114.9509 36.44992, -114.9509 36.45029, -114.9509 36.45067, -114.9509 36.45104, -114.951 36.45141, -114.9511 36.45178, -114.9512 36.45214, -114.9513 36.4525, -114.9515 36.45285, -114.9517 36.4532, -114.9519 36.45354, -114.9521 36.45387, -114.9523 36.45419, -114.9526 36.4545, -114.9529 36.4548, -114.9532 36.45508, -114.9535 36.45536, -114.9538 36.45562, -114.9542 36.45586, -114.9545 36.45609, -114.9549 36.45631, -114.9553 36.45651, -114.9557 36.45669, -114.9561 36.45685, -114.9565 36.457, -114.957 36.45713, -114.9574 36.45724, -114.9579 36.45734, -114.9583 36.45741, -114.9588 36.45746, -114.9593 36.4575, -114.9597 36.45752, -114.9601 36.45752, -114.9605 36.45752, -114.961 36.45749, -114.9615 36.45745, -114.962 36.45739, -114.9624 36.4573, -114.9629 36.4572, -114.9633 36.45708, -114.9638 36.45694, -114.9642 36.45678, -114.9646 36.4566, -114.965 36.45641, -114.9654 36.4562, -114.9658 36.45597, -114.9662 36.45572, -114.9665 36.45546, -114.9668 36.45519, -114.9672 36.4549, -114.9674 36.4546, -114.9677 36.45429, -114.968 36.45397, -114.9682 36.45363, -114.9684 36.45329, -114.9686 36.45294, -114.9688 36.45258, -114.9689 36.45222, -114.969 36.45185, -114.9691 36.45147, -114.9692 36.4509, -114.9693 36.45053, -114.9693 36.45016, -114.9693 36.44978, -114.9693 36.44941, -114.9693 36.44903, -114.9692 36.44866, -114.9692 36.44829, -114.969 36.44793, -114.9689 36.44757, -114.9688 36.44721, -114.9686 36.44687, -114.9684 36.44653, -114.9682 36.4462, -114.9679 36.44587, -114.9677 36.44556, -114.9674 36.44526, -114.9671 36.44497, -114.9668 36.4447, -114.9665 36.44443, -114.9661 36.44419, -114.9658 36.44395, -114.9654 36.44374, -114.965 36.44353, -114.9646 36.44335, -114.9642 36.44318, -114.9637 36.44303, -114.9633 36.4429, -114.9629 36.44279, -114.9624 36.44269, -114.962 36.44261, -114.9615 36.44256, -114.961 36.44252, -114.9606 36.4425, -114.9601 36.4425, -114.9596 36.44252, -114.9593 36.44254, -114.9588 36.44258))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020982-251120083545085/datasets/export for details.
DOI: 10.15468/dl.265pfg
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepus arcticus",
 "Year 2000-2020"
 ]
}

 The dataset includes 221 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020984-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbe34s
title: Occurrence Download

description: A dataset containing 168819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Thymus baeticus, Thymus bracteatus, Thymus funkii, Thymus granatensis, Thymus hyemalis, Thymus leptophyllus, Thymus longiflorus, Thymus loscosii, Thymus mastigophorus, Thymus membranaceus, Thymus moroderi, Thymus orospedanus, Thymus piperella, Thymus serpylloides)"
 ]
}

 The dataset includes 168819 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020969-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy49e8
title: Occurrence Download

description: A dataset containing 2829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Triatoma sanguisuga"
 ]
}

 The dataset includes 2829 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020981-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14345657
title: Quantum error mitigation in quantum annealing : General access Advantage2 kink-density and kink-correlators

description: Overview

General access Advantage2 kink density and kink correlators as a function of anneal duration and coupling strength.

This data is relevant to a second version of the paper "Quantum error mitigation in quantum annealing" currently under journal review, an earlier preprint with comparable data at smaller scale is here https://arxiv.org/abs/2311.01306 .

A single file kink_density.csv demonstrates kink density for various anneal durations (ta) and coupling strengths (J).The kink value per-site per-read is k_i = (1 - s_i s_{i+1})/2, s_i denotes the state of spin i.Kink density is estimated as k = <k_i>, where <> denotes a per-programming site (i=0, .., 1023) and 1000-sample (read-out) average.Mean and variance are given with respect to repeated programmings (number of programmings is either 5 or 160 as indicated).See paper methods.

For each ta and J relevant to the paper a csv is provided for kink correlations as a function of displacement r = 0, .., 1023.Kink correlations are estimated as C(r) = <k_i k_{i+r}>/k^2 - 1, where k is the kink density and <> denotes a per-programming site (i = 0 , .., 1023) and 1000-sample (read-out) average.Mean and variance are given with respect to 160 repeated programmings.See paper methods.

Acknowledgements

We would like to thank Gonzalo Alvarez, Daniel Lidar, Hidetoshi Nishimori and Marek Rams for fruitful discussions and comments on the manuscript. This research used resources from the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. Work at UBC was supported by the NSERC Alliance Quantum Program (Grant ALLRP-578555), CIFAR, and the Canada First Research Excellence Fund, Quantum Materials, and Future Technologies Program. The work of Jacek Dziarmaga was supported by the National Science Center (NCN), Poland, under project 2021/03/Y/ST2/00184 within the QuantERA II Program that has received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No 101017733.