cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mnvu5q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tagetes erecta",
 "Country is Rwanda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005223-250717081556266/datasets/export for details.
DOI: 10.15468/dl.96hqg8
title: Occurrence Download

description: A dataset containing 15176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((130.82724 42.52291,131.46210 42.52291,131.46210 42.77702,130.82724 42.77702,130.82724 42.52291))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 15176 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005218-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p45qbw
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tagetes erecta",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005224-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/n8dlvc
title: Visible light-sensitive sustainable quantum dot crystals of Co/Mg doped natural hydroxyapatite possessing antimicrobial activity and biocompatibility

description: Cutting-edge research in advanced materials is increasingly turning toward the development of novel multifunctional nanomaterials for use in high-tech applications. This research uses the solid-state method as a solvent-free technique to create multifunctional quantum dot (QD) hydroxyapatite crystals (HA) from bovine bone waste. By incorporating cobalt (Co) and magnesium (Mg) into the HA structure, we enhanced the crystallinity of the hexagonal HA nanoparticles (99.7%), showing QD crystals. Oxygen vacancies on the surfaces of the HA nanoparticles contributed to their bandgap falling within the visible light range. In addition, the dopants substituted calcium in the HA crystal structure and generated a divalent oxidation state, shifting the bandgap of natural HA toward red wavelengths (3.26 to 1.94 eV). Moreover, the incorporation of Co led to magnetization within the HA structure through spin polarization. Additionally, the doped QD crystals of HA nanoparticles showed significant antimicrobial activity against Escherichia coli, Staphylococcus aureus, and bacteriophages MS2, particularly under visible light exposure. In short, the Co/Mg co-doped HA nanoparticles exhibited ferromagnetic properties, sensitivity to visible light, biocompatibility, and considerable antimicrobial effects, establishing their potential as sustainable multifunctional materials for biomedical applications, especially in anti-infection treatments.
DOI: 10.5281/zenodo.16079052
title: Bootstrap and Jackknife: Resampling Statistics in Python

description: This project explores statistical resampling using Bootstrap and Jackknife methods to estimate the mean, median, and variance, while evaluating the stability of these estimates with Confidence Intervals (CI) and Mean Squared Error (MSE). Bootstrap is more suitable for large datasets, as it provides smooth distribution estimates. On the other hand, Jackknife is limited to smaller datasets but remains useful for variance estimation and outlier detection. This project can be expanded to include real datasets or additional methods such as Bayesian Bootstrap or Cross-Validation..

 

Methods Used:

Bootstrap:



Performs resampling with replacement.

Calculates statistical distributions (mean, median, and variance) based on 1000 bootstrap samples.

Used to measure statistical uncertainty (variability).


Jackknife:



Removes one observation per iteration to create a new sample.

Suitable for small datasets.

Provides insight into the stability of the estimator when the data changes slightly.
DOI: 10.5281/zenodo.16079051
title: Bootstrap and Jackknife: Resampling Statistics in Python

description: This project explores statistical resampling using Bootstrap and Jackknife methods to estimate the mean, median, and variance, while evaluating the stability of these estimates with Confidence Intervals (CI) and Mean Squared Error (MSE). Bootstrap is more suitable for large datasets, as it provides smooth distribution estimates. On the other hand, Jackknife is limited to smaller datasets but remains useful for variance estimation and outlier detection. This project can be expanded to include real datasets or additional methods such as Bayesian Bootstrap or Cross-Validation..

 

Methods Used:

Bootstrap:



Performs resampling with replacement.

Calculates statistical distributions (mean, median, and variance) based on 1000 bootstrap samples.

Used to measure statistical uncertainty (variability).


Jackknife:



Removes one observation per iteration to create a new sample.

Suitable for small datasets.

Provides insight into the stability of the estimator when the data changes slightly.
DOI: 10.15468/dl.2m4ghw
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polygraphus proximus",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005226-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqgvyv
title: Occurrence Download

description: A dataset containing 15176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((130.82724 42.52291,131.46210 42.52291,131.46210 42.77702,130.82724 42.77702,130.82724 42.52291))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 15176 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005225-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12505226
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.18150/7ivygw
title: Array-based Polymer-Phage Biosensors for Detection and Differentiation of Bacteria

description: Pathogenic bacteria, such as methicillin-resistant Staphylococcus aureus (MRSA), pose significant challenges to public health due to their resistance to conventional antibiotics. Early and accurate detection of both bacterial species and strain is critical for guiding effective treatments and infection control. In this study, we develop a polymer-phage sensor platform that integrates polymer-based fluorescence sensing with phage-host specificity for bacterial identification. The sensor successfully differentiates three bacterial species (S. aureus, E. coli, and B. subtilis) and closely related strains of S. aureus (methicillin-sensitive Staphylococcus aureus (MSSA) and MRSA) with high classification accuracy (94-100%) and correct unknown identification rates (94–100%) under optimized conditions. By leveraging phage-host interactions and polymer binding properties, the polymer-phage sensor overcomes the limitations of traditional "lock-and-key" biosensors, offering enhanced specificity and reliability. This platform’s rapid response time and adaptability make it a promising tool for clinical diagnostics and public health applications, particularly in combating antibiotic-resistant bacteria.
DOI: 10.15468/dl.jrn6ra
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Myiarchus crinitus)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005230-250717081556266/datasets/export for details.
DOI: 10.15468/dl.pb4tp4
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noccaea flagellifera"
 ]
}

 The dataset includes 48 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005227-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pn6kc8
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xerodraba lycopodioides"
 ]
}

 The dataset includes 73 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005231-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34q4zk
title: Occurrence Download

description: A dataset containing 14406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista monspessulana",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14406 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005228-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25946/29565785
title: Experimental harvesting data of Asparagopsis in Gladstone

description: Dataset contains data from harvesting experiment conducted in Manning Reef, Gladstone from June to December 2024. It contains percent cover, shoot length (raw values of subsampled shoots), and dry weight measurements. Cover of benthic sessile community across treatments and control are included.
DOI: 10.25946/29565785.v1
title: Experimental harvesting data of Asparagopsis in Gladstone

description: Dataset contains data from harvesting experiment conducted in Manning Reef, Gladstone from June to December 2024. It contains percent cover, shoot length (raw values of subsampled shoots), and dry weight measurements. Cover of benthic sessile community across treatments and control are included.
DOI: 10.3535/s8x-bhj-mnr
title: Begonia hirtella Link

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.3m6kcm
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista monspessulana",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 224 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005232-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9zfz4
title: Occurrence Download

description: A dataset containing 1896 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((6.2426875664184385 49.62619145126979, 6.242391019399721 49.628828102552895, 6.241308209548199 49.63137650459061, 6.239480637972513 49.63373870215181, 6.236978460270029 49.63582388356619, 6.233897802219093 49.63755187570228, 6.230357070531895 49.638856231185294, 6.226492399705578 49.639686788269685, 6.222452410376579 49.640011604025155, 6.218392482145412 49.639818185707746, 6.2144687633678615 49.63911397241147, 6.210832151019766 49.63792604825337, 6.207622474951343 49.63630009825584, 6.2049631125976425 49.634298647553685, 6.202956242882039 49.63199865237546, 6.201678922426542 49.629488536323805, 6.201180134413196 49.62686478681355, 6.201478921963054 49.62422824330076, 6.202563675359506 49.62168022052401, 6.204392597606842 49.61931861597537, 6.2068953274801695 49.61723415104434, 6.209975655138063 49.61550688978439, 6.213515224167609 49.61420316830095, 6.217378077075714 49.61337305181891, 6.221415869987538 49.61304841619084, 6.225473557687229 49.61324172673794, 6.229395332919686 49.61394556077318, 6.233030594596229 49.61513289191869, 6.236239718494116 49.61675812543281, 6.238899411241191 49.61875884525887, 6.2409074436146135 49.62105820643757, 6.242186581988222 49.623567881886906, 6.2426875664184385 49.62619145126979))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 1896 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005235-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48426g
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tagetes erecta",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005234-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3c79d5
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thysanocnemis bischoffi",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005237-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygrbwg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba staintonii"
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005236-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.st33e7
title: Occurrence Download

description: A dataset containing 3159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista monspessulana",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3159 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005240-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/rpc-fcy-ba6
title: Guapira nitida (Mart. ex J. A. Schmidt) Lundell

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.yccrnz
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vulpia fontquerana"
 ]
}

 The dataset includes 132 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005238-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qarxxj
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tagetes erecta",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005241-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umge8a
title: Occurrence Download

description: A dataset containing 11770 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine pensylvanica"
 ]
}

 The dataset includes 11770 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005239-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/82l-4aa-pg5
title: Indeterminatae-dicot

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.6084/m9.figshare.29596499.v1
title: Raw data on understory species composition of early-successional oak-hornbeam forests differing in invasive Acer negundo in canopy

description: Despite growing interest in the impacts of invasive trees, their effects on understory composition remain unevenly explored across taxa and regions. The consequences of invasions by less-studied tree species in temperate forests are still poorly understood. One such species is <i>Acer negundo</i>, a highly recognizable and widespread non-native tree in temperate Europe, but its effects on diversity of forest understories remain unexplored. We examined how increasing <i>A. negundo</i> cover affects taxonomic diversity, phylogenetic relatedness structure and community assembly processes in the understory of early-successional oak-hornbeam forests embedded within the Białowieża Primeval Forest. Using ordination and regression methods, we found that <i>A. negundo</i> negatively affected taxonomic and functional diversity, but a positive impact on phylogenetic diversity of the understory. A decline in species richness was accompanied by a shift from niche differentiation and habitat filtering towards stronger interspecific competition, reflected in the loss of light-demanding species and an increase in nutrient-demanding taxa. The increased presence of competitive, phylogenetically distinct tall herbs may explain the observed high phylogenetic diversity under dense <i>A. negundo</i> canopy. However, from a successional perspective, this may hinder the colonization of understory by typical forest specialists and impair the native trees self-regeneration abilities. Our findings highlight the need for early intervention to control the spread of <i>A. negundo</i>, with a particular focus on early-successional forests, which are especially prone to invasion. Furthermore, quantifying the per capita impacts of <i>A. negundo</i> along its invasion gradient may support the identification of ecological thresholds beyond which natural recovery becomes increasingly limited.
DOI: 10.6084/m9.figshare.29596499
title: Raw data on understory species composition of early-successional oak-hornbeam forests differing in invasive Acer negundo in canopy

description: Despite growing interest in the impacts of invasive trees, their effects on understory composition remain unevenly explored across taxa and regions. The consequences of invasions by less-studied tree species in temperate forests are still poorly understood. One such species is <i>Acer negundo</i>, a highly recognizable and widespread non-native tree in temperate Europe, but its effects on diversity of forest understories remain unexplored. We examined how increasing <i>A. negundo</i> cover affects taxonomic diversity, phylogenetic relatedness structure and community assembly processes in the understory of early-successional oak-hornbeam forests embedded within the Białowieża Primeval Forest. Using ordination and regression methods, we found that <i>A. negundo</i> negatively affected taxonomic and functional diversity, but a positive impact on phylogenetic diversity of the understory. A decline in species richness was accompanied by a shift from niche differentiation and habitat filtering towards stronger interspecific competition, reflected in the loss of light-demanding species and an increase in nutrient-demanding taxa. The increased presence of competitive, phylogenetically distinct tall herbs may explain the observed high phylogenetic diversity under dense <i>A. negundo</i> canopy. However, from a successional perspective, this may hinder the colonization of understory by typical forest specialists and impair the native trees self-regeneration abilities. Our findings highlight the need for early intervention to control the spread of <i>A. negundo</i>, with a particular focus on early-successional forests, which are especially prone to invasion. Furthermore, quantifying the per capita impacts of <i>A. negundo</i> along its invasion gradient may support the identification of ecological thresholds beyond which natural recovery becomes increasingly limited.
DOI: 10.14457/tu.the.2024.302
title: การประยุกต์ใช้วิธีการพยากรณ์อุปสงค์และนโยบายคลังสินค้าที่เหมาะสมเพื่อลดต้นทุนการจัดเก็บยา: กรณีศึกษาบริษัทเทเลเมดิซีน

description: การบริหารจัดการคลังยาอย่างมีประสิทธิภาพเป็นปัจจัยสำคัญในการลดปัญหายาขาดแคลนและต้นทุนการดำเนินงาน โดยเฉพาะในธุรกิจเทเลเมดิซีนที่มีลักษณะเฉพาะตัว งานวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาการประยุกต์ใช้วิธีการพยากรณ์อุปสงค์และนโยบายควบคุมสินค้าคงคลังที่เหมาะสม โดยอาศัยข้อมูลยอดขายยาจำนวน 13 รายการสำคัญจากบริษัทเทเลเมดิซีนแห่งหนึ่งในกรุงเทพมหานคร ระหว่างเดือนกรกฎาคม พ.ศ. 2566 ถึงธันวาคม พ.ศ. 2567 ซึ่งผ่านการคัดเลือกด้วยเทคนิค ABC Analysis และเกณฑ์การตัดออกที่กำหนดไว้งานวิจัยได้เปรียบเทียบประสิทธิภาพของวิธีพยากรณ์ Naïve Forecasting, ARIMA และ Random Forest โดยพบว่า ARIMA มีค่าความคลาดเคลื่อนต่ำที่สุด (MAPE เฉลี่ย 29.96%) จึงนำมาใช้ร่วมกับนโยบาย Order-up-to Level (S) และ (s, S) Policy ผลการจำลองสถานการณ์แสดงให้เห็นว่านโยบาย (s, S) เมื่อจับคู่กับ ARIMA สามารถลดความเสี่ยงการขาดแคลนสินค้าจาก 7.43% เหลือเพียง 0.53% และลดต้นทุนรวมได้ถึง 72.68% เมื่อเทียบกับข้อมูลการดำเนินงานจริงของบริษัท นอกจากนี้การเลือกใช้วิธีการพยากรณ์เฉพาะรายยาสามารถช่วยลดต้นทุนเพิ่มเติมได้ประมาณ 2% ทั้งนี้ ผลการวิจัยสะท้อนถึงโอกาสในการพัฒนาระบบบริหารคลังยาที่มีประสิทธิภาพยิ่งขึ้นในอนาคต