cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28945700.v1
title: data.rar

description: 本文提出了一种新的用于开放集土地覆盖分类的分类网络，利用嵌入式特征分析。该网络集成了二阶特征注意力和高斯混合模型 （GMM） 聚类，以保持已知类别的高准确率并准确识别未知类别。首先将样本从原始图像空间映射到嵌入的特征空间。然后，计算二阶特征以推导出空间和光谱注意力权重，从而优化特征表示。接下来，应用 GMM 将嵌入的特征聚类到相似的组中。对于每个聚类，使用独立的多任务学习框架来获取重建误差和分类精度。最后，评估所有集群的结果，以选择识别未知类别的最佳集群。与其他开放集识别方法的比较实验表明，当聚类数设置为 3 时，我们的方法在 IN 数据集上优于 RDOSR 方法43.45%，在 PU 数据集上优于 RDOSR 方法8.53%，在 PC 数据集上优于 RDOSR 方法。这些结果表明，我们提出的方法优于 RDOSR 等现有方法。
DOI: 10.15468/dl.7c9zqw
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panicum auritum J.Presl ex Nees"
 ]
}

 The dataset includes 229 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019756-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c33w4b
title: Monthly summary_San Lorenzo Crane

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane.Data Summaries, Excel spread sheet. Provides daily, monthly and yearly summaries. Contains interval averages, maximum, minimum and variability statistics, plus graphsParameters: air temperature, relative humidity, wind speed and direction,precipitation, solar radiation (pyranometer)Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest.
DOI: 10.15468/dl.b55fsk
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pavonia odorata Willd."
 ]
}

 The dataset includes 283 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019760-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8myuk5
title: Occurrence Download

description: A dataset containing 608 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Datos de ocurrencia de los géneros Leptoconops, Forcipomyia (Lasiohelea) y Culicoides (Diptera: Ceratopogonidae), causantes de dermatitis y vectores del Virus de la Lengua Azul y del Oropuche"
 ]
}

 The dataset includes 608 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019758-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8wa74
title: Occurrence Download

description: A dataset containing 741 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedalium murex L."
 ]
}

 The dataset includes 741 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019761-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c30600
title: Monthly summary_Parque Natural Metropolitano Crane

description: Parque Natural Metropolitano (PNM) Crane Station.Data Summaries, Excel spread sheet. Provides daily, monthly and yearly summaries. Contains interval averages, maximum, minimum and variability statistics, plus graphsEstablished in 1995, the PNM canopy crane (8.994410°, - 79.543000°) is located at the North central edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest.The original crane was 42 meters tall with a radius of 51 meters. In 2021 the original crane was dismantled and replaced with a new, 68m crane in Jan. 2022. The temperature and humidity were moved to the top of the crane. An anemometer was mounted near just below the crane boom.Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer)
DOI: 10.6084/m9.figshare.28740482
title: Plasmid maps, sequences and promoters.

description: The zip contains the plasmid sequences, maps as well as promoter sequences used in the publication.
DOI: 10.6084/m9.figshare.28740512
title: In-silico search for an EPYC1 candidate in the <i>A. agrestis</i> genome.

description: The zip file contains all files used and generated in the in-silico search for an EPYC1 candidate in <i>A. agrestis</i>.
DOI: 10.60635/c3vg75
title: Monthly summary_Galeta Station

description: Galeta Island marine laboratoryData Summaries, Excel spread sheet. Provides daily, monthly and yearly summaries. Contains interval averages, maximum, minimum and variability statistics, plus graphsLocation: 9.402742°, -79.860837°Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), rainfall. Galeta Island Marine Laboratory physical monitoring station established in 1974. Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_summary_Galeta_Station/10059530
DOI: 10.5281/zenodo.11031718
title: Interview Questions for WW Dashboards

description: Interview questions and ppt slides used as question prompts during the interviews
DOI: 10.5281/zenodo.11031719
title: Interview Questions for WW Dashboards
DOI: 10.5281/zenodo.15358200
title: Interview Questions for WW Dashboards

description: Interview questions and ppt slides used as question prompts during the interviews
DOI: 10.15468/dl.9ukern
title: Occurrence Download

description: A dataset containing 1180 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Convolvulus ammannii Desr."
 ]
}

 The dataset includes 1180 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019762-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c3qp57
title: Monthly summary_Bocas Station

description: Bocas del Toro Research StationData Summaries, Excel spread sheet. Provides daily, monthly and yearly summaries. Contains interval averages, maximum, minimum and variability statistics, plus graphsLocation: 9.351553°, -82.256565°Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, dissolved oxygen, turbidity, salinity, pHSensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes a meteorological tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_summary_Bocas_Station/10059464
DOI: 10.15468/dl.qrhste
title: Occurrence Download

description: A dataset containing 27176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aulacaspis yasumatsui Takagi, 1977, Diaphorina citri Kuwayama, 1908, Vespula germanica (Fabricius, 1793), Cryptococcus fagisuga Lindinger, 1936, Ips typographus (C.Linnaeus, 1758), Sirex noctilio Fabricius, 1773, Anoplophora chinensis (Forster, 1771), Orthotomicus erosus Bright & Skidmore, 1997, Gonipterus scutellatus Gyllenhal, 1833, Hylastes ater Erichson, 1836, Lymantria dispar Linnaeus, 1758, Vespula vulgaris (Linnaeus, 1758), Tomicus piniperda (C.Linnaeus, 1758), Myrmica rubra (Linnaeus, 1758), Dendrolimus sibiricus Chetwerikov, 1908)",
 "Year is not null",
 "Year is one of (2020, 2021, 2022, 2023, 2024)",
 "HasCoordinate is TRUE",
 "DecimalLatitude is greater than or equal to 47.3024876979",
 "DecimalLatitude is less than or equal to 54.983104153",
 "DecimalLongitude is greater than or equal to 5.98865807458",
 "DecimalLongitude is less than or equal to 15.0169958839",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 27176 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019765-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5d5tqu
title: Occurrence Download

description: A dataset containing 41810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aulacaspis yasumatsui Takagi, 1977, Diaphorina citri Kuwayama, 1908, Vespula germanica (Fabricius, 1793), Cryptococcus fagisuga Lindinger, 1936, Ips typographus (C.Linnaeus, 1758), Sirex noctilio Fabricius, 1773, Anoplophora chinensis (Forster, 1771), Orthotomicus erosus Bright & Skidmore, 1997, Gonipterus scutellatus Gyllenhal, 1833, Hylastes ater Erichson, 1836, Lymantria dispar Linnaeus, 1758, Vespula vulgaris (Linnaeus, 1758), Tomicus piniperda (C.Linnaeus, 1758), Myrmica rubra (Linnaeus, 1758), Dendrolimus sibiricus Chetwerikov, 1908)",
 "Year is not null",
 "Year is one of (2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "HasCoordinate is TRUE",
 "DecimalLatitude is greater than or equal to 47.3024876979",
 "DecimalLatitude is less than or equal to 54.983104153",
 "DecimalLongitude is greater than or equal to 5.98865807458",
 "DecimalLongitude is less than or equal to 15.0169958839",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 41810 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019766-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c3m028
title: Monthly summary_Agua Salud, Celestino Tower

description: Agua Salud Celestino TowerYearly, monthly and daily summary Excel spreadsheet. Contains interval average/maximum/minimum/variance statistics plus summary graphsLocation 9.21142N, 79.72656WParameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer, photosynthetically active radiation), soil moisture, net radiation, air pressure, evapotranspiration.Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall.Historical versions of this data package can be found at https://smithsonian.figshare.com/articles/dataset/Monthly_summary_Agua_Salud_Celestino_Tower/10059467
DOI: 10.6084/m9.figshare.28945064
title: Source Data of "Theoretical Framework for Confined Ion Transport in Two-dimensional Nanochannels"

description: Source Data of Figures 1~4 in Main Text of Article "Theoretical Framework for Confined Ion Transport in Two-dimensional Nanochannels".
DOI: 10.6084/m9.figshare.28945064.v2
title: Source Data of "Theoretical Framework for Confined Ion Transport in Two-dimensional Nanochannels"

description: Source Data of Figures 1~4 in Main Text of Article "Theoretical Framework for Confined Ion Transport in Two-dimensional Nanochannels".
DOI: 10.60635/c3g60b
title: Monthly summary_Culebra Station Tower

description: Punta Culebra Nature Center meteorological station. Established in 2002.
 Location: 8.910718°N, -79.528919°
 Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer)
 Historical Datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_summary_Culebra_Station_Tower/10059470
DOI: 10.6084/m9.figshare.28945334
title: Spatial-temporal Landslide Susceptibility modeling in Data-Scarce Areas:utilizing Recurrent Neural Networks and Transfer Learning

description: Spatial-temporal Landslide Susceptibility modeling in Data-Scarce Areas
DOI: 10.6084/m9.figshare.28945334.v1
title: Spatial-temporal Landslide Susceptibility modeling in Data-Scarce Areas:utilizing Recurrent Neural Networks and Transfer Learning

description: Spatial-temporal Landslide Susceptibility modeling in Data-Scarce Areas
DOI: 10.6084/m9.figshare.28945334.v2
title: Spatial-temporal Landslide Susceptibility modeling in Data-Scarce Areas:utilizing Recurrent Neural Networks and Transfer Learning

description: Spatial-temporal Landslide Susceptibility modeling in Data-Scarce Areas
DOI: 10.5281/zenodo.15357835
title: Publication_dataset_Kraft_etal_2025_Monitoring_cyanobacteria_blooms_with_complementary_measurements

description: This dataset was used in the publication Kraft et al. 2025 Monitoring cyanobacteria blooms with complementary measurements – a similar story told using high-throughput imaging, optical sensors, light microscopy, and satellite-based methods. Please refer to the publication if wanting to use or refer to this dataset.
DOI: 10.5281/zenodo.15357836
title: Publication_dataset_Kraft_etal_2025_Monitoring_cyanobacteria_blooms_with_complementary_measurements

description: This dataset was used in the publication Kraft et al. 2025 Monitoring cyanobacteria blooms with complementary measurements – a similar story told using high-throughput imaging, optical sensors, light microscopy, and satellite-based methods. Please refer to the publication if wanting to use or refer to this dataset.
DOI: 10.5281/zenodo.12172678
title: The Paramo Fire Atlas: Quantifying burned area and trends across the Tropical Andes

description: Paramo Fire Atlas provides a comprehensive dataset on burned areas within the paramo ecosystem, organized by country (Colombia, Venezuela, Ecuador, and Peru). Drawing from Landsat satellite imagery, it spans from 1985 to 2022, serving as a vital resource for monitoring fire dynamics and trends in this high-elevation ecosystem.
DOI: 10.5281/zenodo.12172679
title: The Paramo Fire Atlas: Quantifying burned area and trends across the Tropical Andes

description: Paramo Fire Atlas provides a comprehensive dataset on burned areas within the paramo ecosystem, organized by country (Colombia, Venezuela, Ecuador, and Peru). Drawing from Landsat satellite imagery, it spans from 1985 to 2022, serving as a vital resource for monitoring fire dynamics and trends in this high-elevation ecosystem.
DOI: 10.60635/c3bg7h
title: Monthly summary_Coibita

description: Coibita Island research stationData Summaries, Excel spread sheet. Provides daily, monthly and yearly summaries. Contains interval averages, maximum, minimum and variability statistics, plus graphsLocation: 7° 38.422'N, 81° 42.079'WParameters: air temperature, relative humidity, solar radiation (pyranometer, UV), wind speed, wind direction, rainfall, air pressure. Coibita Station was established in June 2023.Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_summary_Coibita/25359439
DOI: 10.15468/dl.tgrg8d
title: Occurrence Download

description: A dataset containing 540 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pentapetes phoenicea L."
 ]
}

 The dataset includes 540 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019769-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14010167
title: (DATA) Adsorption Behavior of Greenhouse Gases on Carbon Nanobelts: A Semi-Empirical Tight-Binding Approach for Environmental Application

description: Input structures.

Scripts to generate some inputs.

Script to run all the calculations.

Scripts to run analysis.

Molecular dynamics trajectories (in PDB and TRJ formats)

Molecular dynamics animations (in MP4 format)
DOI: 10.5281/zenodo.14010168
title: (DATA) Adsorption Behavior of Greenhouse Gases on Carbon Nanobelts: A Semi-Empirical Tight-Binding Approach for Environmental Application

description: Input structures.

Script to run all the calculations.
DOI: 10.5281/zenodo.14892849
title: (DATA) Adsorption Behavior of Greenhouse Gases on Carbon Nanobelts: A Semi-Empirical Tight-Binding Approach for Environmental Application

description: Input structures.

Scripts to generate some inputs.

Script to run all the calculations.

Scripts to run analysis.
DOI: 10.5281/zenodo.15346120
title: (DATA) Adsorption Behavior of Greenhouse Gases on Carbon Nanobelts: A Semi-Empirical Tight-Binding Approach for Environmental Application

description: Input structures.

Scripts to generate some inputs.

Script to run all the calculations.

Scripts to run analysis.

Molecular dynamics trajectories (in PDB and TRJ formats)

Molecular dynamics animations (in MP4 format)
DOI: 10.60893/figshare.aapt.28941821
title: Supplemental to Evolution of the Significant Figure Rules

description: Supplemental to Evolution of the Significant Figure Rules
DOI: 10.60893/figshare.aapt.28941821.v1
title: Supplemental to Evolution of the Significant Figure Rules

description: Supplemental to Evolution of the Significant Figure Rules
DOI: 10.5281/zenodo.15336655
title: 2021shp_FCI_TCI
DOI: 10.5281/zenodo.15336656
title: 2019shp_FCI_TCI
DOI: 10.5281/zenodo.15354156
title: 2020shp_FCI_TCI
DOI: 10.5281/zenodo.15355536
title: 2021shp_FCI_TCI
DOI: 10.60635/c36p5k
title: Monthly Summary_BCI, Vertical

description: Barro Colorado Island (BCI)Yearly, monthly and daily summary organized in vertical format for long-term trend analysisContains interval average/maximum/minimum/variance statistics plus summary graphsLocation 9°9'42.36"N, 79°50'15.67"WLutz catchment is a 9.73ha protected watershed on BCI. The Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48mThe data from 48m should be considered a separate data series from the data at 42m. Wind speed is significantly higher at 48m due to the distance to the top of the canopy. The Clearing is a small, open area surrounded by forest and some buildings. Station established in 1972 and consists of a Stevenson screen with max/min thermometers and air pressure sensor. Temperature/humidity sensor, rain gauge and evaporation sensors are located at various locations around the screen.Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, soil moisture, runoff, potential evapotranspiration, wet/dry season starting datesHistorical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_Summary_BCI_Vertical/10059458
DOI: 10.6084/m9.figshare.28945754
title: Supplementary Material for: Uncovering candidate genes associated with cardiovascular disease in patients with arteriovenous fistula and end-stage renal disease

description: Background: The molecular association between end-stage renal disease (ESRD), arteriovenous fistula (AVF) failure, and cardiovascular disease (CVD) remains unclear. This study aims to investigate their potential relationship.
Methods: Three datasets were downloaded from the public database. AVF-failed related differentially expressed genes (DEGs), CVD-related DEGs, and ESRD-related DEGs were identified by differential expression analysis and weighted gene co-expression network analysis (WGCNA). Then, AVF-failed-related-, CVD-related-, and ESRD-related DEGs were overlapped to obtain the hub genes. The diagnostic values of hub genes were evaluated. Finally, the immune infiltration analysis and drug prediction were performed.
Results: A total of four hub genes (ABCC8, ALPI, FGF11, and OBP2A) were identified, and those genes have excellent diagnostic accuracy. Among them, ABCC8, ALPI, and FGF11 showed good sensitivity and specificity. However, compared to the non-diabetic subgroup, the diagnostic ability of these genes was weaker in the diabetic subgroup for distinguishing AVF failure in ESRD patients. Type 17 T helper cells and gamma delta T cells may be associated with CVD caused by ESRD and AVF. A total of 15 drugs associated with hub genes were predicted.
Conclusion: ABCC8, ALPI, and FGF11 could serve as potential diagnostic biomarkers for AVF failure and CVD in HD-treated ESRD patients. Their robustness needs to be validated in larger cohorts and additional subgroups with comorbidities.
DOI: 10.60635/c33030
title: Monthly Summary_BCI, horizontal

description: Barro Colorado Island (BCI)Yearly, monthly and daily summary organized in horizontal format for seasonal and inter-year comparisonsContains interval average/maximum/minimum/variance statistics plus summary graphsLocation 9°9'42.36"N, 79°50'15.67"WParameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, soil moisture, runoff, potential evapotranspiration, wet/dry season, starting dates.Lutz catchment is a 9.73ha protected watershed on BCI. The Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48m. The data from 48m should be considered a separate data series from the data at 42m. Wind speed is significantly higher at 48m due to the distance to the top of the canopy. The Clearing is a small, open area surrounded by forest and some buildings. Station established in 1972. Consists of a Stevenson screen with max/min thermometers and air pressure sensor. Temperature/humidity sensor, rain gauge and evaporation sensors are located at various locations around the screen.Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_Summary_BCI_horizontal/10059455
DOI: 10.5281/zenodo.14963246
title: Influenza A sequence metadata with manual corrections and annotations (version 4.5) adjusted to the AFluID pipeline with sequence multifasta file

description: This dataset was obtained from NCBI Virus database, and was manually curated for missing entries and wrong annotations. The dataset is the base for the AFluID-Automatic Influenza Identification pipeline, built as the final project for the MSc in Bioinformatics and Computational Biology.
DOI: 10.5281/zenodo.14963247
title: Influenza A sequence metadata with manual corrections and annotations (version 4.2) adjusted to the AFluID pipeline with sequence multifasta file

description: This dataset was obtained from NCBI Virus database, and was manually curated for missing entries and wrong annotations. The dataset is the base for the AFluID-Automatic Influenza Identification pipeline, built as the final project for the MSc in Bioinformatics and Computational Biology.
DOI: 10.5281/zenodo.15358183
title: Influenza A sequence metadata with manual corrections and annotations (version 4.5) adjusted to the AFluID pipeline with sequence multifasta file

description: This dataset was obtained from NCBI Virus database, and was manually curated for missing entries and wrong annotations. The dataset is the base for the AFluID-Automatic Influenza Identification pipeline, built as the final project for the MSc in Bioinformatics and Computational Biology.
DOI: 10.25500/edata.bham.00001248
title: Raw Dataset for the Publication "Supramolecular Recognition of a DNA Four Way Junction by an M2L4 Metallo-cage, Inspired by a Simulation-Guided Design Approach"
DOI: 10.15468/dl.mvek8m
title: Occurrence Download

description: A dataset containing 3801 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pereskia aculeata Mill."
 ]
}

 The dataset includes 3801 records from 260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019770-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.