cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18327539
title: Aerosol and meteorological data from the EERL helikites during the ORACLES field campaign between December 2024 and February 2025 at Neumayer Station III, Antarctica

description: The dataset presented here originates from a field deployment of two tethered balloons, the EERL helikites, at Neumayer Station III in coastal Antarctica. This dataset includes the recorded variables, details of the instruments deployed during the campaign, and the corresponding data processing steps. Measurements focused on aerosol and meteorological parameters along vertical profiles. A total of 68 flights during the southern hemisphere summer season provided aerosol and droplet number size distributions between 8 nm and 43 µm, along with vertical thermodynamic measurements. All variables were time-synchronized, quality-controlled, and corrected to Standard Temperature and Pressure (STP) when applicable. Further information on the Helikite instrumentation is available in Pohorsky et al. (2024), and details of the data processing steps can be found in Schmale et al., in prep.
DOI: 10.5281/zenodo.18327540
title: Aerosol and meteorological data from the EERL helikites during the ORACLES field campaign between December 2024 and February 2025 at Neumayer Station III, Antarctica

description: The dataset presented here originates from a field deployment of two tethered balloons, the EERL helikites, at Neumayer Station III in coastal Antarctica. This dataset includes the recorded variables, details of the instruments deployed during the campaign, and the corresponding data processing steps. Measurements focused on aerosol and meteorological parameters along vertical profiles. A total of 68 flights during the southern hemisphere summer season provided aerosol and droplet number size distributions between 8 nm and 43 µm, along with vertical thermodynamic measurements. All variables were time-synchronized, quality-controlled, and corrected to Standard Temperature and Pressure (STP) when applicable. Further information on the Helikite instrumentation is available in Pohorsky et al. (2024), and details of the data processing steps can be found in Schmale et al., in prep.
DOI: 10.15468/dl.s33bgn
title: Occurrence Download

description: A dataset containing 2847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Muntingia calabura"
 ]
}

 The dataset includes 2847 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002559-260120142942310/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.31113532
title: Order statistics and the forensic detection of collusion in public infrastructure projects

description: Collusion in public procurement is a pervasive and costly form of white-collar crime, particularly in infrastructure investment. Characterised by covert coordination among bidders, such schemes typically involve multilayered transactions and are often intertwined with corruption, making detection and prosecution exceptionally challenging. This paper examines a real-world case from Brazil in which forensic experts used order-statistic methods to identify anomalously low winning-bid discounts in public infrastructure tenders. When combined with evidence obtained through police investigations, these statistical anomalies supported successful legal action and the recovery of misappropriated public funds. Statistical modelling also played a central role in quantifying the economic harm by reconstructing competitive counterfactuals to estimate losses attributable to bid rigging. The case demonstrates the value of integrating forensic statistical techniques into criminal investigations to detect, quantify, and prosecute collusion in public procurement, offering a replicable model for other jurisdictions. By synthesising statistics, probability, and auction theory with an understanding of the behavioural, organisational, and institutional mechanisms that enable bid-rigging practices – and by balancing theoretical rigour with practical applicability – our paper demonstrates how collusion can be detected in practice. Collusion in public procurement is a hidden but costly problem that diverts public money away from essential services and infrastructure. This paper shows how statistical tools, specifically order-statistic methods, can help government agencies, investigators, and oversight bodies identify suspicious bidding patterns in real time. Drawing on a real case from Brazil, the study demonstrates how unusually low winning-bid discounts, combined with a limited number of genuine competitors, can provide strong signals of bid rigging. For practitioners, the paper offers a transparent and practical method for detecting collusion using data that procurement authorities already collect. This approach does not depend on confidential company information or complex “black box” algorithms. Instead, it applies clear, reproducible statistical logic that can be readily communicated to auditors, investigators, and the courts, meeting established legal standards for forensic evidence. For policy makers, the study provides a replicable model for strengthening procurement integrity. It shows how statistical screening can support early detection, guide investigative priorities, and generate credible estimates of financial loss—enabling governments to recover misappropriated funds and deter future misconduct. More broadly, the paper demonstrates how combining statistical forensics with traditional investigative practices can improve transparency, accountability, and value for money in the delivery of public infrastructure.
DOI: 10.6084/m9.figshare.31113532.v1
title: Order statistics and the forensic detection of collusion in public infrastructure projects

description: Collusion in public procurement is a pervasive and costly form of white-collar crime, particularly in infrastructure investment. Characterised by covert coordination among bidders, such schemes typically involve multilayered transactions and are often intertwined with corruption, making detection and prosecution exceptionally challenging. This paper examines a real-world case from Brazil in which forensic experts used order-statistic methods to identify anomalously low winning-bid discounts in public infrastructure tenders. When combined with evidence obtained through police investigations, these statistical anomalies supported successful legal action and the recovery of misappropriated public funds. Statistical modelling also played a central role in quantifying the economic harm by reconstructing competitive counterfactuals to estimate losses attributable to bid rigging. The case demonstrates the value of integrating forensic statistical techniques into criminal investigations to detect, quantify, and prosecute collusion in public procurement, offering a replicable model for other jurisdictions. By synthesising statistics, probability, and auction theory with an understanding of the behavioural, organisational, and institutional mechanisms that enable bid-rigging practices – and by balancing theoretical rigour with practical applicability – our paper demonstrates how collusion can be detected in practice. Collusion in public procurement is a hidden but costly problem that diverts public money away from essential services and infrastructure. This paper shows how statistical tools, specifically order-statistic methods, can help government agencies, investigators, and oversight bodies identify suspicious bidding patterns in real time. Drawing on a real case from Brazil, the study demonstrates how unusually low winning-bid discounts, combined with a limited number of genuine competitors, can provide strong signals of bid rigging. For practitioners, the paper offers a transparent and practical method for detecting collusion using data that procurement authorities already collect. This approach does not depend on confidential company information or complex “black box” algorithms. Instead, it applies clear, reproducible statistical logic that can be readily communicated to auditors, investigators, and the courts, meeting established legal standards for forensic evidence. For policy makers, the study provides a replicable model for strengthening procurement integrity. It shows how statistical screening can support early detection, guide investigative priorities, and generate credible estimates of financial loss—enabling governments to recover misappropriated funds and deter future misconduct. More broadly, the paper demonstrates how combining statistical forensics with traditional investigative practices can improve transparency, accountability, and value for money in the delivery of public infrastructure.
DOI: 10.15468/dl.j598nf
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.97062 -4.99329,12.73014 -4.41852,13.3357 -4.78801,14.14654 -4.20298,15.21397 -4.38773,15.97349 -3.81296,16.19929 -2.25287,17.22567 -0.73383,17.09224 0.32334,16.20956 1.61657,13.13761 2.28882,13.19201 1.24708,14.12601 1.2676,13.78393 0.07656,14.38261 -0.54908,14.35182 -1.9039,11.61139 -2.44788,11.07768 -3.92586,11.97062 -4.99329))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 2018-2022"
 ]
}

 The dataset includes 291 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002561-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh3kgu
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Pennisetum purpureum"
 ]
}

 The dataset includes 45 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002560-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ee7xq8
title: Occurrence Download

description: A dataset containing 168973499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Country is Sweden"
 ]
}

 The dataset includes 168973499 records from 2108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002530-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15271629
title: S-LDSC cancer annotations for CT-FM model (Kim et al., 2025 in prep.)

description: S-LDSC cancer annotations for CT-FM model (Kim et al., 2025 in prep.)
DOI: 10.5281/zenodo.15271630
title: S-LDSC cancer annotations for CT-FM model (Kim et al., 2025 in prep.)

description: S-LDSC cancer annotations for CT-FM model (Kim et al., 2025 in prep.)
DOI: 10.57830/2314552
title: Field data for the Vegetation Mapping Inventory Project of Gauley River National Recreation Area - Open Format Data Package

description: These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Gauley River National Recreation Area.  These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
DOI: 10.57830/2314553
title: Field data for the Vegetation Mapping Inventory Project of Gateway National Recreation Area - Open Format Data Package

description: These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Gateway National Recreation Area.  These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
DOI: 10.57830/2314554
title: Field data for the Vegetation Mapping Inventory Project of Gettysburg National Military Park, Eisenhower National Historic Site - Open Format Data Package

description: These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Gettysburg National Military Park, Eisenhower National Historic Site.  These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
DOI: 10.57830/2314555
title: Field data for the Vegetation Mapping Inventory Project of George Washington Birthplace National Monument - Open Format Data Package

description: These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of George Washington Birthplace National Monument.  These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
DOI: 10.15468/dl.kvmm25
title: Occurrence Download

description: A dataset containing 7659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Porophyllum ruderale (Jacq.) Cass."
 ]
}

 The dataset includes 7659 records from 378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009741-250525065834625/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.28887683
title: RAGE rs184003 rs2070600 genotyping

description: Background: The development of coronary artery disease (CAD) is the result of complex interactions between environmental and genetic factors. While the former is well known, the genetic factors that predispose individuals to the development of CAD are still under investigation. The aim of our study was to investigate whether single nucleotide substitution polymorphisms (SNPs), rs2070600 G/A and rs184003 G/T, in the gene encoding the receptor for advanced glycation end products (RAGE) may determine predisposition to CAD in the Polish population. Methods: Two RAGE SNPs were genotyped in 336 patients with a history of acute coronary syndrome (ACS): 175 &lt; 50 years, 161 ≥ 50 years and 160 ethnically, age- and sex-matched controls via the restriction fragment length polymorphism method. Allele frequencies were compared between groups via the chi2 test on a 2x2 contingency table. Genotype distribution was analyzed assuming three modes of inheritance: dominant, codominant or recessive. The values of the variables between the study groups were compared via Student’s t test or the Mann‒Whitney U test when appropriate. Results: For the rs184003 G/T polymorphism, the frequency of genotypes containing the polymorphic T allele (GT+TT) was significantly greater in patients with a history of ACS than in healthy age- and sex-matched controls (28.87% vs 11.25%, p &lt; 0.0001) and was associated with lower high density lipoprotein (HDL) cholesterol levels (mean 1.02 mmol/l vs 1.14 mmol/l, p = 0.01) and higher mean troponin I concentrations at the time of ACS (32.3 ng/ml vs 24.4 ng/ml, p = 0.03). These genotypes were also significantly less common in patients with ACS before the age of 50 than in those diagnosed later (20.0% vs 38.5%, p = 0.0002). Conclusions: Our findings suggest a possible role of the rs184003 SNP in the gene encoding RAGE in shaping the genetic predisposition to CAD and ACS in the Polish population. However, they do not confirm the association of the studied SNPs with the occurrence of ACS at a young age.
DOI: 10.6084/m9.figshare.28887683.v1
title: RAGE rs184003 rs2070600 genotyping

description: Background: The development of coronary artery disease (CAD) is the result of complex interactions between environmental and genetic factors. While the former is well known, the genetic factors that predispose individuals to the development of CAD are still under investigation. The aim of our study was to investigate whether single nucleotide substitution polymorphisms (SNPs), rs2070600 G/A and rs184003 G/T, in the gene encoding the receptor for advanced glycation end products (RAGE) may determine predisposition to CAD in the Polish population. Methods: Two RAGE SNPs were genotyped in 336 patients with a history of acute coronary syndrome (ACS): 175 &lt; 50 years, 161 ≥ 50 years and 160 ethnically, age- and sex-matched controls via the restriction fragment length polymorphism method. Allele frequencies were compared between groups via the chi2 test on a 2x2 contingency table. Genotype distribution was analyzed assuming three modes of inheritance: dominant, codominant or recessive. The values of the variables between the study groups were compared via Student’s t test or the Mann‒Whitney U test when appropriate. Results: For the rs184003 G/T polymorphism, the frequency of genotypes containing the polymorphic T allele (GT+TT) was significantly greater in patients with a history of ACS than in healthy age- and sex-matched controls (28.87% vs 11.25%, p &lt; 0.0001) and was associated with lower high density lipoprotein (HDL) cholesterol levels (mean 1.02 mmol/l vs 1.14 mmol/l, p = 0.01) and higher mean troponin I concentrations at the time of ACS (32.3 ng/ml vs 24.4 ng/ml, p = 0.03). These genotypes were also significantly less common in patients with ACS before the age of 50 than in those diagnosed later (20.0% vs 38.5%, p = 0.0002). Conclusions: Our findings suggest a possible role of the rs184003 SNP in the gene encoding RAGE in shaping the genetic predisposition to CAD and ACS in the Polish population. However, they do not confirm the association of the studied SNPs with the occurrence of ACS at a young age.
DOI: 10.15468/dl.ehntmk
title: Occurrence Download

description: A dataset containing 1805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clematis terniflora var. terniflora, Cleome rutidosperma var. rutidosperma, Clerodendrum canescens Wall. ex Walp., Clerodendrum ×speciosum W.Bull, Clinopodium laxiflorum (Hayata) K.Mori)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1805 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003878-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ew6t8p
title: Occurrence Download

description: A dataset containing 325945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fallopia Adans."
 ]
}

 The dataset includes 325945 records from 1834 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003873-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/dfwj-x374
title: "Popular Anime Character Faces Dataset"

description: "AnimeFaces-50 is a curated and standardized dataset comprising 1,000 high-quality anime face images, each with a spatial resolution of 100 \u00d7 100 pixels. The dataset spans 50 distinct characters, with 20 samples per class, enabling balanced class distribution and controlled experimental design. The dataset further incorporates a unified directory structure and well-defined metadata to support reproducibility and ease of integration into machine learning pipelines. Designed to advance research in computer vision, machine learning, and deep learning, AnimeFaces-50 serves as a valuable benchmark for tasks such as stylized character identification, anime face recognition, generative modeling, and cross-domain representation learning. By providing a clean, balanced, and well-documented resource, this dataset aims to facilitate both academic and industrial research on recognition algorithms involving stylized or non-photorealistic visual domains."
DOI: 10.5281/zenodo.17677149
title: Ciona+Ciona_threat response_part I
DOI: 10.5281/zenodo.17677148
title: Ciona+Ciona_threat response_part I
DOI: 10.6084/m9.figshare.30685279
title: Original data from Caste- and stage-dependent sensory brain plasticity in a subterranean termite

description: Data_updated.xlsx
DOI: 10.6084/m9.figshare.30685279.v1
title: Original data from Caste- and stage-dependent sensory brain plasticity in a subterranean termite

description: Data_updated.xlsx
DOI: 10.34740/kaggle/dsv/13825386
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.21227/1h2y-px25
title: "The raw wind and solar data used for the simulation analysis"

description: "The raw data include unprocessed wind speed, solar irradiance, and related measurements. The specific data sources can be found in the links provided in the appendix of the main paper."
DOI: 10.12755/nrct.res.2022.23
title: การต่อยอดการเพิ่มมูลค่าทุนทางวัฒนธรรมสินค้าข้าวสายน้ำแร่แจ้ซ้อนหนึ่ง เดียวในประเทศ เพื่อการส่งเสริมนวัตกรรมชุมชนด้านการท่องเที่ยวและตลาดดิจิทัล
DOI: 10.12755/nrct.res.2022.24
title: การพัฒนาเกษตรกรเพื่อสร้างชุมชนการพึ่งพาตนเองด้านการจัดการสุขภาพปศุสัตว์เบื้องต้น
DOI: 10.12755/nrct.res.2022.25
title: การถ่ายทอดองค์ความรู้และนวัตกรรมการผลิตอาหารอัดเม็ดคุณภาพสูงเพื่อเพิ่มประสิทธิภาพการผลิตและเพิ่มขีดความสามารถทางการแข่งขันของเกษตรกรผู้เลี้ยงโคเนื้ออย่างยั่งยืน
DOI: 10.12755/nrct.res.2022.26
title: โครงการคัดเลือกมาตรฐานสากลในการจัดการข้อมูลผลการวิจัยในคลังสารสนเทศดิจิทัล : ระยะที่ 3
DOI: 10.12755/nrct.res.2022.27
title: การขอยื่นตรวจประเมินเพื่อขอรับการรับรองตามมาตรฐานคอร์ทรัสซิล ณ ประเทศเนเธอร์แลนด์
DOI: 10.12755/nrct.res.2021.29
title: ความสัมพันธ์ระหว่างการทำหน้าที่ของครอบครัว พฤติกรรมการติดเกม และพฤติกรรมก้าวร้าวรุนแรงของเด็กและเยาวชน: การศึกษาช่วงสถานการณ์โควิด-19
DOI: 10.12755/nrct.res.2021.30
title: การพัฒนายาต้านเชื้อไวรัส SARS-CoV-2 โดยการยับยั้งร่างแหเอนโดพลาซึมและไลโซโซม
DOI: 10.12755/nrct.res.2021.31
title: แพลตฟอร์ม IoT สำหรับเครื่องจักรกลการเกษตร
DOI: 10.12755/nrct.res.2021.32
title: โครงการส่งเสริมและถ่ายทอดเทคโนโลยี นวัตกรรม การปลูกพืชเศรษฐกิจร่วมกับการเพาะเห็ดไมคอร์ไรซา เพื่อพัฒนาเศรษฐกิจชุมชนอย่างยั่งยืน
DOI: 10.12755/nrct.res.2021.33
title: การถ่ายทอดเทคโนโลยีนวัตกรรมผลิตภัณฑ์เครื่องดื่มจากสารสกัดมะขามป้อมยักษ์พันธุ์ป้อมปราการเมืองสยามเพื่อการพัฒนาสินค้าชุมชนจังหวัดสระแก้ว
DOI: 10.12755/nrct.res.2021.34
title: การพัฒนาและเพิ่มมูลค่าเปลือกทุเรียนวัสดุเหลือทิ้งเป็นแหล่งอาหารสัตว์คุณภาพสูงสู่จังหวัดชายแดนใต้
DOI: 10.12755/nrct.res.2021.35
title: กระบวนการจัดการความรู้เพื่อนำผลงานวิจัยสู่การพร้อมใช้งานสำหรับชุมชน
DOI: 10.12755/nrct.res.2021.36
title: ผลิตภัณฑ์ขั้นสูงด้านยาสำหรับสัตว์เลี้ยง
DOI: 10.12755/nrct.res.2021.37
title: การสร้างความมั่นคงทางเศรษฐกิจจากฐานรากโดยการท่องเที่ยวชุมชนเชิงนิเวศของชุมชนชายฝั่งชายแดนภาคตะวันออก: กรณีศึกษา ตำบลหาดเล็ก อำเภอคลองใหญ่ จังหวัดตราด
DOI: 10.12755/nrct.res.2021.38
title: การศึกษาอุปสงค์และแนวทางการขนส่งผู้โดยสารต่อเนื่องหลายรูปแบบ ที่เชื่อมโยงประเทศไทยกับกลุ่มประเทศภาคี ภายใต้ยุทธศาสตร์ เส้นทางสายไหมในศตวรรษที่ 21
DOI: 10.12755/nrct.res.2022.28
title: การจัดการและการถ่ายทอดความรู้ด้านการเพาะเลี้ยงปลาน้ำจืดและไรน้ำนางฟ้าเพื่อการใช้ประโยชน์ในชุมชนภาคตะวันออกเฉียงเหนืออย่างยั่งยืน
DOI: 10.12755/nrct.res.2022.29
title: การจัดการความรู้การถ่ายภาพเพื่อสนับสนุนงานตรวจสถานที่เกิดเหตุให้แก่อาสาสมัครกู้ชีพกู้ภัยในพื้นที่จังหวัดนนทบุรี
DOI: 10.12755/nrct.res.2021.39
title: โครงการยกระดับเศรษฐกิจฐานรากในเขตนครชัยบุรินทร์ด้วยความรู้แบบองค์รวมของไก่โคราช
DOI: 10.12755/nrct.res.2021.40
title: การประยุกต์ใช้เครื่องมือทางออนไลน์เพื่อส่งเสริมการใช้ชีวิตที่ไม่เป็นอุปสรรคแก่ผู้พ้นโทษ