cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15555369
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250530p Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250530p Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.njajv9
title: Occurrence Download

description: A dataset containing 96982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Oncorhynchus keta (Walbaum, 1792)"
 ]
}

 The dataset includes 96982 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012549-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfq649
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biota presente en el humedal laguna Gavilán, departamento del Tolima"
 ]
}

 The dataset includes 139 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008934-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/xbtz-2g96
title: MODD

description: This dataset supports the findings of the study evaluating a novel programmable system (MODD) for assessing and training cognitive-motor integration in young adults. The files include processed SPSS data (.sav format) for three MODD tasks—Go-NoGo (gng_wide.sav), Memory Task (mt_wide.sav), and X-Task (x_wide.sav)—alongside a consolidated cognitive test dataset (MODD_Cognitive data.sav) containing performance metrics across standardized tasks including Stroop, Sternberg, and Dual Task. These data enable replication of reported correlation analyses and facilitate future modeling of cognitive-motor behavior.
DOI: 10.15468/dl.z7n5xr
title: Occurrence Download

description: A dataset containing 7519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, December, November, October, September, August, July, June, May, April)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes aegypti",
 "Year 2020-2024"
 ]
}

 The dataset includes 7519 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020792-260108223611665/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.31092682
title: Supplementary Material for: Light Chain Cast Nephropathy: The Relationship between Tamm-Horsfall Protein Immunoreactivity and Clinical Pathological Features and Prognosis

description: Background: Light-chain cast nephropathy (LCCN) results from the co-precipitation of monoclonal light chains with Tamm–Horsfall protein (THP) within the distal nephron, which forms obstructive casts. Although previous studies have suggested that crystalline LCCN variants may develop independently of THP, the role of THP in classic LCCN remains unclear. We investigated THP involvement in diverse LCCN variants and compared the clinicopathological profiles and outcomes of THP-positive and THP-negative cohorts.
Methods: We retrospectively analyzed 32 patients with newly diagnosed multiple myeloma and biopsy-proven LCCN. Cases were classified as THP-positive (n=19) or THP-negative (n=13) based on THP immunohistochemical staining. Clinical, laboratory, and histopathological data were compared and supplemented by a proteomic analysis of cast composition using laser microdissection coupled with liquid chromatography-tandem mass spectrometry.
Results: Immunoreactive-negative THP LCCN, accounting for 40.6 % (13/32) of the cohort, presented with significantly lower hemoglobin, higher serum creatinine, more frequent AKI and greater dialysis dependence than their immunoreactive-positive-THP-positive counterparts. Immunoreactive-negative THP patients exhibited exacerbated tubular atrophy, interstitial inflammation, and acute tubular injury. Mass spectrometry further confirmed that THP was undetectable in a portion of immunoreactive-negative THP casts. No significant between-group difference was observed in survival.
Conclusion: Immunoreactive-negative THP LCCN correlates with severe anemia, acute kidney injury requiring dialysis, and marked tubular damage. Therefore, immunohistochemical staining for THP should be carefully evaluated in patients with LCCN. Further exploration of the mechanisms underlying LCCN pathogenesis is warranted.
DOI: 10.6084/m9.figshare.31092682.v1
title: Supplementary Material for: Light Chain Cast Nephropathy: The Relationship between Tamm-Horsfall Protein Immunoreactivity and Clinical Pathological Features and Prognosis

description: Background: Light-chain cast nephropathy (LCCN) results from the co-precipitation of monoclonal light chains with Tamm–Horsfall protein (THP) within the distal nephron, which forms obstructive casts. Although previous studies have suggested that crystalline LCCN variants may develop independently of THP, the role of THP in classic LCCN remains unclear. We investigated THP involvement in diverse LCCN variants and compared the clinicopathological profiles and outcomes of THP-positive and THP-negative cohorts.
Methods: We retrospectively analyzed 32 patients with newly diagnosed multiple myeloma and biopsy-proven LCCN. Cases were classified as THP-positive (n=19) or THP-negative (n=13) based on THP immunohistochemical staining. Clinical, laboratory, and histopathological data were compared and supplemented by a proteomic analysis of cast composition using laser microdissection coupled with liquid chromatography-tandem mass spectrometry.
Results: Immunoreactive-negative THP LCCN, accounting for 40.6 % (13/32) of the cohort, presented with significantly lower hemoglobin, higher serum creatinine, more frequent AKI and greater dialysis dependence than their immunoreactive-positive-THP-positive counterparts. Immunoreactive-negative THP patients exhibited exacerbated tubular atrophy, interstitial inflammation, and acute tubular injury. Mass spectrometry further confirmed that THP was undetectable in a portion of immunoreactive-negative THP casts. No significant between-group difference was observed in survival.
Conclusion: Immunoreactive-negative THP LCCN correlates with severe anemia, acute kidney injury requiring dialysis, and marked tubular damage. Therefore, immunohistochemical staining for THP should be carefully evaluated in patients with LCCN. Further exploration of the mechanisms underlying LCCN pathogenesis is warranted.
DOI: 10.34810/data2488
title: Undergraduate Physics Education: Usage, Attitudes, and Learning Contexts

description: This dataset comprises three main components, collected during the 2024-2025 academic year: (1) Questionnaire Responses: Contains the responses from 172 undergraduate Physics students to a questionnaire designed to explore their use of Artificial Intelligence (AI) tools; (2) Codebook for the questionnaire responses, providing a meticulous description for each variable within the questionnaire dataset; and (2) Focus Group Transcript: Includes the complete transcript of a focus group conducted with 10 selected students to delve deeper into their perceptions regarding the use of AI.

The participants are undergraduate Physics students enrolled in various courses (from 1st to 4th year).

As for the methods, the questionnaire was distributed through the campus virtual of the Physics degree. A convenience sampling method was employed, as participation was voluntary. Afterwards, ten undergraduate students were selected from the questionnaire respondents for a subsequent focus group. The selection aimed to achieve a good representation across different academic years and genders.

These data have been primarily used to study how undergraduate Physics students utilize Artificial Intelligence (AI) tools for academic purposes. This includes understanding their engagement with AI tools, their perceptions, and the specific academic contexts in which these tools are employed.
DOI: 10.6084/m9.figshare.31092685
title: Supplementary Material for: Social factors influencing decision-making in intracerebral haemorrhage: A survey among neurology professionals

description: Objective: Intracerebral haemorrhage (ICH) is the most severe type of stroke characterised by high morbidity and mortality rates. While prognostic scales aim to predict outcomes based solely on medical information, clinicians' assessments may be influenced by patients' social factors potentially resulting in inequitable care.
Patients and Methods: A vignette-based survey presenting five pairs of fictitious ICH cases (10 total) was distributed to professionals involved in ICH patient care. Each pair included identical medical data and a comparable computed tomography scan. Social factors - including family status, employment, home status, and medical history - were varied. Respondents assessed prognosis, recommended management, and identified key factors influencing their decisions. Only healthcare professionals involved in the treatment of neuro-intensive care patients were eligible to participate.
Results: A total of 172 responses were collected, of which 156 were from physicians. Statistically significant differences were observed across all case pairs with regard to prognosis, initial management and further treatment. Cases with less favourable social backgrounds were more likely to result in delayed treatment or recommendations for palliative care. Notably, when participants were asked which factors influenced their decisions, only an average of 10–11% acknowledged that social factors had played a role in their clinical reasoning
Conclusions: Social factors seem to influence clinicians’ prognostic assessments and management decisions in ICH cases, suggesting unconscious bias is present. These findings highlight the need for strategies to ensure equitable treatment, for example, bias-awareness training.
DOI: 10.6084/m9.figshare.31092685.v1
title: Supplementary Material for: Social factors influencing decision-making in intracerebral haemorrhage: A survey among neurology professionals

description: Objective: Intracerebral haemorrhage (ICH) is the most severe type of stroke characterised by high morbidity and mortality rates. While prognostic scales aim to predict outcomes based solely on medical information, clinicians' assessments may be influenced by patients' social factors potentially resulting in inequitable care.
Patients and Methods: A vignette-based survey presenting five pairs of fictitious ICH cases (10 total) was distributed to professionals involved in ICH patient care. Each pair included identical medical data and a comparable computed tomography scan. Social factors - including family status, employment, home status, and medical history - were varied. Respondents assessed prognosis, recommended management, and identified key factors influencing their decisions. Only healthcare professionals involved in the treatment of neuro-intensive care patients were eligible to participate.
Results: A total of 172 responses were collected, of which 156 were from physicians. Statistically significant differences were observed across all case pairs with regard to prognosis, initial management and further treatment. Cases with less favourable social backgrounds were more likely to result in delayed treatment or recommendations for palliative care. Notably, when participants were asked which factors influenced their decisions, only an average of 10–11% acknowledged that social factors had played a role in their clinical reasoning
Conclusions: Social factors seem to influence clinicians’ prognostic assessments and management decisions in ICH cases, suggesting unconscious bias is present. These findings highlight the need for strategies to ensure equitable treatment, for example, bias-awareness training.
DOI: 10.6084/m9.figshare.31092688
title: Supplementary Material for: Clinical Outcomes of Ticagrelor vs. Clopidogrel in Patients with Chronic Kidney Disease and Acute Myocardial Infarction: A Real-World Cohort Study

description: Introduction: Chronic kidney disease (CKD) is a major risk factor for cardiovascular morbidity and mortality, particularly in patients with acute myocardial infarction (AMI). Dual antiplatelet therapy (DAPT) is essential for secondary prevention in AMI, but the optimal P2Y12 inhibitor in CKD patients remains unclear. While ticagrelor has demonstrated superior cardiovascular outcomes compared to clopidogrel in the general population, its safety and efficacy in advanced CKD are not well established.
Methods: This retrospective cohort study analyzed data from the Chang Gung Research Database (CGRD) to compare ticagrelor and clopidogrel in CKD stage III-V patients hospitalized with AMI between 2001 and 2020. Inverse probability of treatment weighting (IPTW) was applied to balance baseline characteristics. Clinical outcomes, including recurrent AMI, ischemic stroke, cardiovascular death, major bleeding events, and all-cause mortality, were evaluated using Cox proportional hazards models and competing risk analysis.
Results: Among 3,461 patients (ticagrelor: 704, clopidogrel: 2,757), ticagrelor was associated with a significantly lower risk of all-cause mortality (HR 0.694, 95% CI 0.539–0.894, p = 0.047), with no significant differences in recurrent AMI, ischemic stroke, cardiovascular death, or major bleeding events.
Conclusions: In CKD patients with AMI, ticagrelor was associated with reduced all-cause mortality compared to clopidogrel, without an increased risk of major bleeding. These findings highlight the need for further prospective studies to confirm ticagrelor’s benefits and inform optimal antiplatelet strategies in this high-risk population.
DOI: 10.6084/m9.figshare.31092688.v1
title: Supplementary Material for: Clinical Outcomes of Ticagrelor vs. Clopidogrel in Patients with Chronic Kidney Disease and Acute Myocardial Infarction: A Real-World Cohort Study

description: Introduction: Chronic kidney disease (CKD) is a major risk factor for cardiovascular morbidity and mortality, particularly in patients with acute myocardial infarction (AMI). Dual antiplatelet therapy (DAPT) is essential for secondary prevention in AMI, but the optimal P2Y12 inhibitor in CKD patients remains unclear. While ticagrelor has demonstrated superior cardiovascular outcomes compared to clopidogrel in the general population, its safety and efficacy in advanced CKD are not well established.
Methods: This retrospective cohort study analyzed data from the Chang Gung Research Database (CGRD) to compare ticagrelor and clopidogrel in CKD stage III-V patients hospitalized with AMI between 2001 and 2020. Inverse probability of treatment weighting (IPTW) was applied to balance baseline characteristics. Clinical outcomes, including recurrent AMI, ischemic stroke, cardiovascular death, major bleeding events, and all-cause mortality, were evaluated using Cox proportional hazards models and competing risk analysis.
Results: Among 3,461 patients (ticagrelor: 704, clopidogrel: 2,757), ticagrelor was associated with a significantly lower risk of all-cause mortality (HR 0.694, 95% CI 0.539–0.894, p = 0.047), with no significant differences in recurrent AMI, ischemic stroke, cardiovascular death, or major bleeding events.
Conclusions: In CKD patients with AMI, ticagrelor was associated with reduced all-cause mortality compared to clopidogrel, without an increased risk of major bleeding. These findings highlight the need for further prospective studies to confirm ticagrelor’s benefits and inform optimal antiplatelet strategies in this high-risk population.
DOI: 10.15468/dl.fafkvh
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cinygmula grandifolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 416 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020799-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ksagr
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.98999999999999 9.075077, 98.918853 9.069504999999999, 98.849465 9.052925, 98.78354899999999 9.025748, 98.72273300000001 8.988645, 98.66851699999999 8.942532, 98.622238 8.888548, 98.585032 8.828025, 98.55781500000001 8.762456, 98.541251 8.693458, 98.535742 8.622731, 98.541417 8.552016999999999, 98.558132 8.483057000000001, 98.585469 8.417546, 98.62275099999999 8.357097, 98.669057 8.303194, 98.723246 8.257163, 98.783986 8.220133000000001, 98.849782 8.193014, 98.91902 8.176472, 98.98999999999999 8.170912, 99.06098 8.176472, 99.130218 8.193014, 99.19601400000001 8.220133000000001, 99.256754 8.257163, 99.31094299999999 8.303194, 99.357249 8.357097, 99.394531 8.417546, 99.421868 8.483057000000001, 99.43858299999999 8.552016999999999, 99.444258 8.622731, 99.438749 8.693458, 99.422185 8.762456, 99.39496800000001 8.828025, 99.35776199999999 8.888548, 99.311483 8.942532, 99.257267 8.988645, 99.196451 9.025748, 99.13053499999999 9.052925, 99.06114700000001 9.069504999999999, 98.98999999999999 9.075077))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020798-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2cqgv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.794 1.390183, 110.723717 1.384615, 110.655165 1.368048, 110.590033 1.340891, 110.529926 1.303812, 110.476323 1.257726, 110.430545 1.203766, 110.393719 1.143262, 110.366751 1.077705, 110.350304 1.008708, 110.344783 0.937971, 110.350322 0.867235, 110.366785 0.798243, 110.393766 0.732692, 110.4306 0.672196, 110.476381 0.618245, 110.52998 0.572167, 110.59008 0.535096, 110.655199 0.507945, 110.723734 0.491383, 110.794 0.485816, 110.864266 0.491383, 110.932801 0.507945, 110.99792 0.535096, 111.05802 0.572167, 111.111619 0.618245, 111.1574 0.672196, 111.194234 0.732692, 111.221215 0.798243, 111.237678 0.867235, 111.243217 0.937971, 111.237696 1.008708, 111.221249 1.077705, 111.194281 1.143262, 111.157455 1.203766, 111.111677 1.257726, 111.058074 1.303812, 110.997967 1.340891, 110.932835 1.368048, 110.864283 1.384615, 110.794 1.390183))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020796-260108223611665/datasets/export for details.
DOI: 10.15468/dl.gk85sj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Esox lucius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1805",
 "Year is less than or equal to 1809"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020797-260108223611665/datasets/export for details.
DOI: 10.3886/3857-0854
title: State of Social Connections Study

description: The State of Social Connections project is a large, multiphase, representative survey designed to explore people’s connections around the world. It is a nationally representative survey in 7 countries created in partnership between Meta and Gallup in collaboration with academic advisors.
DOI: 10.5281/zenodo.18267152
title: 4DHydro_Results_Tetis_Tugela_7p5sec_daily_exp40_20070101_20221231

description: Modeling results with TETIS software, for Tugela River with a spatial resolution of 7.5 seconds, and temporal resolution daily. Experiment 40. Forcing "mergedera5gpmsm2a". Calibrating methodology SCE, calibrated variable Q

Includes results for the following variables:



Total evapotranspiration flux in kg m-2 s-1

Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2
DOI: 10.5281/zenodo.18267151
title: 4DHydro_Results_Tetis_Tugela_7p5sec_daily_exp40_20070101_20221231

description: Modeling results with TETIS software, for Tugela River with a spatial resolution of 7.5 seconds, and temporal resolution daily. Experiment 40. Forcing "mergedera5gpmsm2a". Calibrating methodology SCE, calibrated variable Q

Includes results for the following variables:



Total evapotranspiration flux in kg m-2 s-1

Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2
DOI: 10.3886/jw31-2j38
title: SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability

description: The everyday consumption of household goods is a significant source of environmental pollution. As people increasingly shop online, this affords an opportunity to provide consumers with actionable feedback on the social and environmental impact of potential purchases. In our work, we explore the following questions on Amazon a) do consumers bring up the environment in their reviews either directly or through relevant related topics? b) do they tend to bring up the environment when they are satisfied or dissatisfied with a product? c) in what granular context do they bring up the environment?
 <br><br>
 To address these questions, we designed an annotation task and recruited knowledgeable students to annotate consumer product reviews. This dataset comprises annotations for 779 individual reviews, with each review corresponding to a distinct product.
 <br><br>
 In our paper, we propose a machine learning method using these annotations that can discover signals of sustainability and infer a product's sustainability score. Our model and code are released at https://github.com/Sabina321/sustainable_signals. The data is for the following paper: Tong Lin, Tianliang Xu, Amit Zac, and Sabina Tomkins. SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023. AI and Social Good Track.