cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uh7vv4
title: Occurrence Download

description: A dataset containing 9750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Sayornis nigricans (Swainson, 1827)",
 "Year is 2024",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 9750 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008692-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqa9bx
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Manilkara zapota (L.) P.Royen"
 ]
}

 The dataset includes 298 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008695-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2r4kax
title: Occurrence Download

description: A dataset containing 1235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((19.06482 58.91732,33.13334 58.91732,33.13334 64.54232,19.06482 64.54232,19.06482 58.91732))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arabidopsis thaliana (L.) Heynh.",
 "Year 2019-2025"
 ]
}

 The dataset includes 1235 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008696-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f85t87
title: Occurrence Download

description: A dataset containing 37336226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset includes 37336226 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008688-250415084134356/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.28789718
title: Source data of Neoantigens combined with in situ cancer vaccination induce personalized immunity and reshape the tumor microenvironment

description: Neoantigen (nAg) vaccines can induce anti-tumor specific immunity, and tumor killing promotes further antigen diffusion, which is expected to improve prognosis. However, the mutation of cancer cells under the selective pressure of vaccines and the immunosuppressive tumor microenvironment make the therapeutic effect unsatisfactory. Here, we develop a nanovaccine (nAg-MRDE/Mn) that can deliver nAg and induce in situ cancer vaccination to synergistically promote a personalized immune response, enhance antigen diffusion, and improve the microenvironment by modulating immunosuppressive cells and activating the innate immune response. Experiments show that neoantigens are presented by dendritic cells and expressed by T cells, which cooperate with in situ vaccination to stimulate specific immunity. Cells involved in immunosuppression, such as M2 macrophages and regulatory T cells, are down-regulated, while M1 macrophages and natural killer cells are increased. In addition, the hydrogel loaded with chemokines and nAg-MRDE/Mn inhibits postoperative tumor recurrence, and the combination of nAg-MRDE/Mn and αPD-1 improves the therapeutic effect of αPD-1. This study validates the clinical potential of this strategy and provides ideas for improving neoantigen vaccines.
DOI: 10.17632/ydf46hwjyy.2
title: The underpricing of initial public offerings of Russian companies

description: The paper examines the underpricing of initial public offerings of ordinary shares of Russian companies. It is based on the data of 102 IPOs of Russian issuers for 2002-2024. The econometric study using multiple regression models has shown that factors such as the sale of own shares by initial shareholders, high-tech nature of the company's activities, the period of a “hot” market, and the deviation of the actual share placement price from the expected one, increase the underpricing of the IPO. At the same time, it was found that the amount of capital raised, the prestige of the investment bank-underwriter and the auditor have a significant negative effect on IPO underpricing. The results of the study may be useful to investors when making decisions about investing in IPOs, to regulators when developing regulations, and to issuing companies when forming an IPO strategy.
DOI: 10.17632/yvk6ncm37m.1
title: Techno-economic analysis of RE systems integrated with hybrid energy storage

description: This module performs a comprehensive techno-economic analysis of renewable energy systems integrated with hybrid energy storage systems comprising Li-ion batteries, pumped hydro storage, and underground hydrogen storage. The model employs an optimized dispatch strategy that allocates discharge loads according to power requirements: hydrogen storage supplies base loads during prolonged discharge periods, batteries address rapid peak load fluctuations, and pumped hydro handles intermediate load conditions.
DOI: 10.17632/3p598pbhz6.1
title: Gaussian Plume Inversions of Methane Fluxes from a Super-Emitting Orphan Well using Ambient Observations to Prioritize Plugging & Carbon Credits

description: Citation: "Gaussian Plume Inversions of Methane Fluxes from a Super-Emitting Orphan Well using Ambient Observations to Prioritize Plugging & Carbon Credits" (in prep)

Corresponding Author: Emily Follansbee (efollansbee@lanl.gov)

Abstract
The U.S. has ~3.6 million abandoned wells that emit 0.05-0.55 Tg methane (CH4) y-1. Of these ~2.3% are orphan wells that contribute ~3% to CH4 emissions are funded for plugging with $4.7B in the US Bipartisan Infrastructure Law. Super-emitting orphan wells (&gt;10 kg CH4 h-1) that can increase average emissions by over an order of magnitude are under-sampled. Furthermore, these emissions are at or below the detection threshold of current airborne and satellite remote sensing surveys. Therefore, more sensitive, reliable, affordable, and scalable CH4 flux quantification methods are needed to prioritize orphan well plugging. We evaluate a simple method to estimate emissions using in situ ground measurements of CH4 concentrations and winds downwind of an orphan well in the Permian basin. A gaussian plume model constrained by empirical estimates of plume dispersion was used to derive fluxes of 10.53 ± 1.16 Kg CH4 h-1 during a venting procedure that agrees with directly measured volumetric flow rate of 9.0 ± 0.25 Kg CH4 h-1. This leak rate is 71% greater than that measured 7-months earlier and attributed to the reservoir pressure buildup from closing the vent that will bias reporting. We discovered a leak through the surface-casing that is inferred to be 0.43-0.67 Kg CH4 h-1 by both our gaussian analysis and by transecting the plume with an uncrewed aerial system. We demonstrate that gaussian inversions can accurately quantify fugitive leaks from orphan wells, and reduce uncertainties associated with super-emitters, a small fraction that contribute the most to total CH4 emissions.

Version 1 created: 2024-04-18
DOI: 10.17632/3p598pbhz6.2
title: Orphaned Oil & Gas Well Methane Emission Rates Quantified with Gaussian Plume Inversions of Ambient Observations

description: Citation: "Gaussian Plume Inversions of Methane Fluxes from a Super-Emitting Orphan Well using Ambient Observations to Prioritize Plugging & Carbon Credits" (in prep)

Corresponding Author: Emily Follansbee (efollansbee@lanl.gov)

Abstract
The U.S. has ~3.6 million abandoned wells that emit 0.05-0.55 Tg methane (CH4) y-1. Of these ~2.3% are orphan wells that contribute ~3% to CH4 emissions are funded for plugging with $4.7B in the US Bipartisan Infrastructure Law. Super-emitting orphan wells (&gt;10 kg CH4 h-1) that can increase average emissions by over an order of magnitude are under-sampled. Furthermore, these emissions are at or below the detection threshold of current airborne and satellite remote sensing surveys. Therefore, more sensitive, reliable, affordable, and scalable CH4 flux quantification methods are needed to prioritize orphan well plugging. We evaluate a simple method to estimate emissions using in situ ground measurements of CH4 concentrations and winds downwind of an orphan well in the Permian basin. A gaussian plume model constrained by empirical estimates of plume dispersion was used to derive fluxes of 10.53 ± 1.16 Kg CH4 h-1 during a venting procedure that agrees with directly measured volumetric flow rate of 9.0 ± 0.25 Kg CH4 h-1. This leak rate is 71% greater than that measured 7-months earlier and attributed to the reservoir pressure buildup from closing the vent that will bias reporting. We discovered a leak through the surface-casing that is inferred to be 0.43-0.67 Kg CH4 h-1 by both our gaussian analysis and by transecting the plume with an uncrewed aerial system. We demonstrate that gaussian inversions can accurately quantify fugitive leaks from orphan wells, and reduce uncertainties associated with super-emitters, a small fraction that contribute the most to total CH4 emissions.

Version 1 created: 2024-04-18
DOI: 10.17632/3p598pbhz6.3
title: Orphaned Oil & Gas Well Methane Emission Rates Quantified with Gaussian Plume Inversions of Ambient Observations

description: Citation: "Orphaned Oil & Gas Well Methane Emission Rates Quantified with Gaussian Plume Inversions of Ambient Observations " (in review, AMT)

Corresponding Author: Emily Follansbee (efollansbee@lanl.gov)

Abstract
The U.S. has ~3.6 million abandoned wells that emit 0.05-0.55 Tg methane (CH4) y-1. Of these ~2.3% are orphan wells that contribute ~3% to CH4 emissions are funded for plugging with $4.7B in the US Bipartisan Infrastructure Law. Super-emitting orphan wells (&gt;10 kg CH4 h-1) that can increase average emissions by over an order of magnitude are under-sampled. Furthermore, these emissions are at or below the detection threshold of current airborne and satellite remote sensing surveys. Therefore, more sensitive, reliable, affordable, and scalable CH4 flux quantification methods are needed to prioritize orphan well plugging. We evaluate a simple method to estimate emissions using in situ ground measurements of CH4 concentrations and winds downwind of an orphan well in the Permian basin. A gaussian plume model constrained by empirical estimates of plume dispersion was used to derive fluxes of 10.53 ± 1.16 Kg CH4 h-1 during a venting procedure that agrees with directly measured volumetric flow rate of 9.0 ± 0.25 Kg CH4 h-1. This leak rate is 71% greater than that measured 7-months earlier and attributed to the reservoir pressure buildup from closing the vent that will bias reporting. We discovered a leak through the surface-casing that is inferred to be 0.43-0.67 Kg CH4 h-1 by both our gaussian analysis and by transecting the plume with an uncrewed aerial system. We demonstrate that gaussian inversions can accurately quantify fugitive leaks from orphan wells, and reduce uncertainties associated with super-emitters, a small fraction that contribute the most to total CH4 emissions.

Version 1 created: 2024-04-18
DOI: 10.17632/pp22s4jnwm.1
title: Cormerais et al - full blots

description: Full blots from Cormerais et al. - AKT-mediated phosphorylation of TSC2 controls stimulus- and tissue-specific mTORC1 signaling and organ growth
DOI: 10.17632/gc2fc3p8pt.1
title: Analysis of Business Sustainability: A study of consumer preferences for packaged drinking water as a basis for evaluating business feasibility

description: The data in this study is expected to provide a real picture of the preferences of AMDK consumers and become the basis for evaluating business feasibility in the field. These findings can also be used as a reference for business actors in designing marketing strategies that are more targeted, as well as providing new understanding related to the phenomenon of brand exclusivity in the AMDK industry
DOI: 10.17632/y2tb33yr8c
title: BERTopic and Sentiment Emotion Analysis for Business Narratives on Quantum Technology

description: This dataset contains a Python file (2025 BERTopic Work.py), an Excel file (final_updated_topics.xlsx), and a folder (All txt data). The Python file shows the code to run BERTopic, sentiment, and emotion analysis for the paper "Narratives from Commercial, Business-Focused, Industrial Reports and Articles on Quantum Technology". The Excel file shows the results of the BERTopic topic modeling analysis, how we merged the topics, and how we grouped the topics by common themes. The folder shows the documents we gathered and used for our analyses. The files in this folder have been converted to .txt.
DOI: 10.17632/y2tb33yr8c.1
title: BERTopic and Sentiment Emotion Analysis for Business Narratives on Quantum Technology

description: This dataset contains a Python file (2025 BERTopic Work.py), an Excel file (final_updated_topics.xlsx), and a folder (All txt data). The Python file shows the code to run BERTopic, sentiment, and emotion analysis for the paper "Narratives from Commercial, Business-Focused, Industrial Reports and Articles on Quantum Technology". The Excel file shows the results of the BERTopic topic modeling analysis, how we merged the topics, and how we grouped the topics by common themes. The folder shows the documents we gathered and used for our analyses. The files in this folder have been converted to .txt.
DOI: 10.17632/ktywz92vtr.1
title: Dataset for Magnitude Distribution During Phase Transformation Faulting: Implications for Deep-Focus Earthquakes

description: The dataset includes mechanical data and acoustic emissions (AE) data. .xls and .csv files are mechanical data acquired in Tohoku university. .ASC file is mechanical data acquired in ENS Paris. .atf files are acoustic emission data acquired in ENS Paris. AE data of _01.atf, _02. atf, and _03.atf are amplified to 0 dB, 30 dB, and 60 dB, respectively.
DOI: 10.17632/55xxmt49b5.1
title: the social dimension of consumer ai interaction dataset

description: Dataset for the the social dimension of consumer ai interaction article manuscript
DOI: 10.17632/w95tzxhd6v.1
title: Pore-Scale Study of Inertial Accumulation Effect on Microgel Particle Transport and Immiscible Displacement in Porous Media

description: Original data regarding 'Pore-Scale Study of Inertial Accumulation Effect on Microgel Particle Transport and Immiscible Displacement in Porous Media'
DOI: 10.17632/w95tzxhd6v.2
title: Pore-Scale Study of Non-Clogging Accumulation Effect on Microgel Particle Transport and Immiscible Displacement in Porous Media

description: Original data regarding 'Pore-Scale Study of Non-Clogging Accumulation Effect on Microgel Particle Transport and Immiscible Displacement in Porous Media'
DOI: 10.17632/sjzmf62yxx.1
title: Enhancing SME Performance

description: Raw Data
DOI: 10.17632/xm2gfng69b.1
title: Auditory Cortex Learns to Discriminate Audiovisual Cues through Selective Multisensory Enhancement

description: This file contains the dataset for all figures in "Auditory Cortex Learns to Discriminate Audiovisual Cues through Selective Multisensory Enhancement ".
DOI: 10.17632/295kpjbxb4.1
title: Social Dimension of Consumer AI Interaction Dataset

description: Resulting database from the final survey used in the article "The Social Dimension of Consumer-AI Interaction: Alienation, Anthropomorphism, and Identity in AI-Mediated Marketing".
DOI: 10.17632/vkf4j2mrz5
title: Original data for "Sources and enrichment mechanisms of lithium, rubidium, and cesium in waters of magmatic-hydrothermal systems"

description: This dataset includes original data of the figures in both main text and the Supplementary Material., the dataset serve as a part of the manuscript from Liu et al. "Sources and enrichment mechanisms of lithium, rubidium, and cesium in waters of magmatic-hydrothermal systems".
DOI: 10.17632/vkf4j2mrz5.1
title: Original data for "Sources and enrichment mechanisms of lithium, rubidium, and cesium in waters of magmatic-hydrothermal systems"

description: This dataset includes original data of the figures in both main text and the Supplementary Material., the dataset serve as a part of the manuscript from Liu et al. "Sources and enrichment mechanisms of lithium, rubidium, and cesium in waters of magmatic-hydrothermal systems".
DOI: 10.17632/2c2nc636nj.1
title: Data set: Operations Performance in Manufacturing Industry: The Roles of Agility, Supply Chain Sustainability, and Risk Management

description: This study investigates the role of sustainable supply chain practices and risk management in enhancing manufacturing agility and operational performance, with a focus on the underexplored context of developing countries such as Indonesia. Data were collected from 255 managers and executives across the manufacturing, operations, logistics, and supply chain sectors using a structured questionnaire based on a five-point Likert scale. The collected responses were then analyzed using SmartPLS. The results indicate that environmental practices have a positive impact on both manufacturing agility and operational performance, although the effect on operational performance is relatively weaker yet remains statistically significant. Risk management is identified as a critical enabler, contributing positively to both agility and performance outcomes. Among the examined variables, manufacturing agility exerts the strongest influence on operational performance, underscoring its pivotal role in achieving competitive advantage. By integrating supply chain sustainability, risk management, manufacturing agility, and operational performance into a unified framework, this study addresses important research gaps and offers valuable theoretical and practical insights. The findings carry significant implications for practitioners and policymakers seeking to enhance supply chain resilience and drive operational excellence in volatile, resource-constrained environments.
DOI: 10.17632/tj49m7mtx4.1
title: Decoding Complex Traits in Maize Without Prior Knowledge

description: detail information
DOI: 10.17632/tj49m7mtx4.2
title: Decoding Complex Traits in Maize Without Prior Knowledge

description: detail information
DOI: 10.17632/7s9xx7bxgc
title: Data Fabio

description: Data from paper
DOI: 10.17632/7s9xx7bxgc.1
title: Data Fabio

description: Data from paper
DOI: 10.17632/8y57wxp6ys
title: Dataset on The Influence of Security, Privacy, and Trust at one of Private University Student on The Use of Generative AI

description: This dataset contains responses from 451 Private University Students who participated in a survey examining the influence of Security, Privacy, and Trust on the use of Generative AI. The dataset was collected as part of a study on analyzing how Security, Privacy, and Trust can influence student's behaviour on using Generative AI
DOI: 10.17632/8y57wxp6ys.1
title: Dataset on The Influence of Security, Privacy, and Trust at one of Private University Student on The Use of Generative AI

description: This dataset contains responses from 451 Private University Students who participated in a survey examining the influence of Security, Privacy, and Trust on the use of Generative AI. The dataset was collected as part of a study on analyzing how Security, Privacy, and Trust can influence student's behaviour on using Generative AI
DOI: 10.17632/z5dvmvkfjy.1
title: 3D Dataset of Pisinnocaris subconigera

description: Pisinnocaris subconigera was first described as a rare, small euarthropod from the early Cambrian Chengjiang biota, southwestern China. The taxonomic validity of this species was later challenged due to the lack of essential morphological details. Here, we examined the holotype and additional specimens of P. subconigera with advanced techniques such as micro-CT scanning and computer-based 3D rendering, and revealed the previously unknown ventral organization of the animal. This dataset contains 3D scans of three specimens of P. subconigera, whiche are the holotype specimen of the species, a specimen preserving the of the soft body details and a specimen of the largest body size to date, respectively. Our morphological data suggests that P. subconigera represents a unique member of the early Cambrian fuxianhuiids.
This dataset contains three files: 3D scans and Figure of CJHMD00066a, NIGPAS 115417a and YKLP17301, respectively. Each file includes Tiff Stack file and 3D screenshot figure of 3D model.
DOI: 10.17632/z5dvmvkfjy.2
title: 3D Dataset of the Cambrian arthropod fossil Pisinnocaris subconigera from Chengjiang biota

description: Pisinnocaris subconigera was first described as a rare, small euarthropod from the early Cambrian Chengjiang biota, southwestern China. The taxonomic validity of this species was later challenged due to the lack of essential morphological details. Here, we examined the holotype and additional specimens of P. subconigera with advanced techniques such as micro-CT scanning and computer-based 3D rendering, and revealed the previously unknown ventral organization of the animal.These are the original morphological data resulted from X-ray micro-computed tomographical analysis of three delicately preserved arthropod fossils (specimen number: NIGPAS 115417a, YKLP17301 and CJHMD00066a, respectively) from the early Cambrian Chengjiang biota. 
This dataset contains three files: 3D scans and Figure of NIGPAS 115417a, YKLP17301 and CJHMD00066a, respectively. Each file includes Tiff Stack file and 3D screenshot figure of 3D model.
DOI: 10.17632/pks9y7vmtv.1
title: Survey data on the influencing factors of the integration effect of professional education and innovation and entrepreneurship education

description: We randomly selected 750 students from comprehensive universities and vocational and technical colleges in Chinese Mainland, and carried out a survey on the influencing factors of the integration effect of professional education and innovation and entrepreneurship education. 584 valid questionnaires were collected, and based on this data, we conducted relevant empirical analysis using structural equation modeling.