cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y9deq8
title: Occurrence Download

description: A dataset containing 107006371 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 107006371 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001378-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86uppj
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sedum candollei Raym.-Hamet"
 ]
}

 The dataset includes 137 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001379-250221090833381/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.28462835
title: Mexico's High Resolution Climate Database (MexHiResClimDB): daily average temperature for Mexico.

description: Daily average temperature for Mexico for the 1951-2020 period. This gridded dataset is georeferenced and provided in geographic coordinates (resolution 20 arc sec); the daily average temperature provided was obtained by averaging the interpolated Tmin and Tmax rasters for each day.
DOI: 10.3886/e113183v1
title: Replication data for: What Drives Differences in Management Practices?

description: Partnering with the US Census Bureau, we implement a new survey of "structured" management practices in two waves of 35,000 manufacturing plants in 2010 and 2015. We find an enormous dispersion of management practices across plants, with 40 percent of this variation across plants within the same firm. Management practices account for more than 20 percent of the variation in productivity, a similar, or greater, percentage as that accounted for by R&D, ICT, or human capital. We find evidence of two key drivers to improve management. The business environment, as measured by right-to-work laws, boosts incentive management practices. Learning spillovers, as measured by the arrival of large "Million Dollar Plants" in the country, increase the management scores of incumbents.
DOI: 10.3886/e113183v1-24295
title: Replication data for: What Drives Differences in Management Practices?

description: Partnering with the US Census Bureau, we implement a new survey of "structured" management practices in two waves of 35,000 manufacturing plants in 2010 and 2015. We find an enormous dispersion of management practices across plants, with 40 percent of this variation across plants within the same firm. Management practices account for more than 20 percent of the variation in productivity, a similar, or greater, percentage as that accounted for by R&D, ICT, or human capital. We find evidence of two key drivers to improve management. The business environment, as measured by right-to-work laws, boosts incentive management practices. Learning spillovers, as measured by the arrival of large "Million Dollar Plants" in the country, increase the management scores of incumbents.
DOI: 10.3886/e113183v1-25167
title: Replication data for: What Drives Differences in Management Practices?

description: Partnering with the US Census Bureau, we implement a new survey of "structured" management practices in two waves of 35,000 manufacturing plants in 2010 and 2015. We find an enormous dispersion of management practices across plants, with 40 percent of this variation across plants within the same firm. Management practices account for more than 20 percent of the variation in productivity, a similar, or greater, percentage as that accounted for by R&D, ICT, or human capital. We find evidence of two key drivers to improve management. The business environment, as measured by right-to-work laws, boosts incentive management practices. Learning spillovers, as measured by the arrival of large "Million Dollar Plants" in the country, increase the management scores of incumbents.
DOI: 10.3886/e113183
title: Replication data for: What Drives Differences in Management Practices?

description: Partnering with the US Census Bureau, we implement a new survey of "structured" management practices in two waves of 35,000 manufacturing plants in 2010 and 2015. We find an enormous dispersion of management practices across plants, with 40 percent of this variation across plants within the same firm. Management practices account for more than 20 percent of the variation in productivity, a similar, or greater, percentage as that accounted for by R&D, ICT, or human capital. We find evidence of two key drivers to improve management. The business environment, as measured by right-to-work laws, boosts incentive management practices. Learning spillovers, as measured by the arrival of large "Million Dollar Plants" in the country, increase the management scores of incumbents.
DOI: 10.3886/e113183v2
title: Replication data for: What Drives Differences in Management Practices?

description: Partnering with the US Census Bureau, we implement a new survey of "structured" management practices in two waves of 35,000 manufacturing plants in 2010 and 2015. We find an enormous dispersion of management practices across plants, with 40 percent of this variation across plants within the same firm. Management practices account for more than 20 percent of the variation in productivity, a similar, or greater, percentage as that accounted for by R&D, ICT, or human capital. We find evidence of two key drivers to improve management. The business environment, as measured by right-to-work laws, boosts incentive management practices. Learning spillovers, as measured by the arrival of large "Million Dollar Plants" in the country, increase the management scores of incumbents.
DOI: 10.15468/dl.b5un62
title: Occurrence Download

description: A dataset containing 521682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence)",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 521682 records from 577 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001380-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14911352
title: The whole datasets of undisturbed and remolded loess
DOI: 10.5281/zenodo.14911353
title: The whole datasets of undisturbed and remolded loess
DOI: 10.15468/dl.jsgzad
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leptobrachium tagbanorum Brown, Siler, Diesmos & Alcala, 2010",
 "Year 1951-2025"
 ]
}

 The dataset includes 60 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001382-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38chqk
title: Occurrence Download

description: A dataset containing 461957 species occurrences available in GBIF matching the query:
{
 "CollectionKey" : [
 "is fc904fab-a33c-4ca8-bd23-698ddb026f26"
 ]
}

 The dataset includes 461957 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001381-250221090833381/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/10817751
title: KAUH-Ovarian Tumors Dataset
DOI: 10.15468/dl.su78aj
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diversidad potencial de briófitos en el Sistema de Información en Biodiversidad para Aysén (SIB-Aysén), Chile"
 ]
}

 The dataset includes 345 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001383-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymgu8m
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diversidad potencial de briófitos en el Sistema de Información en Biodiversidad para Aysén (SIB-Aysén), Chile"
 ]
}

 The dataset includes 345 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001384-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.226yxf
title: Occurrence Download

description: A dataset listing the 278 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diversidad potencial de briófitos en el Sistema de Información en Biodiversidad para Aysén (SIB-Aysén), Chile"
 ]
}

 The dataset's 278 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001386-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14373993
title: BioSR for LLS-SIM: Dataset of Microtubule

description: This is LLS-SIM dataset of Microtubule, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.5281/zenodo.14373994
title: BioSR for LLS-SIM: Dataset of Microtubule

description: This is LLS-SIM dataset of Microtubule, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.5281/zenodo.14909579
title: BioSR for LLS-SIM: Dataset of Microtubule

description: This is LLS-SIM dataset of Microtubule, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.5067/snwg/opera_l2_rtc-s1_v1
title: OPERA Radiometric Terrain Corrected SAR Backscatter from Sentinel-1 validated product (Version 1)
DOI: 10.5067/snwg/opera_l2_cslc-s1_v1
title: OPERA Co-registered Single Look Complex from Sentinel-1 validated product (Version 1)
DOI: 10.5067/snwg/opera_l2_cslc-s1-static_v1
title: OPERA Co-registered Single Look Complex from Sentinel-1 Static Layers validated product (Version 1)
DOI: 10.15468/dl.s9adqj
title: Occurrence Download

description: A dataset containing 2694469 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données de l'inventaire forestier national de l'IGN-Relevés floristiques du protocole de l'Inventaire National Forestier de l'IGN"
 ]
}

 The dataset includes 2694469 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001388-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tpsq4
title: Occurrence Download

description: A dataset containing 155271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus ilex L."
 ]
}

 The dataset includes 155271 records from 903 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001389-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18006119
title: Comparative centromere genomics of major crop species in the Solanaceae family

description: · genomes and annotations for 12, Sa01 and Sm01:  F12 is 12  ;S071 is Sm01 ; S173 is Sa01

· Code for analysis include: CENH3 ChIP-seq, LTR analysis, genome asm and anno, Genome-wide synteny construction and phylogenetic tree construction. etc.
DOI: 10.5281/zenodo.18006120
title: Comparative centromere genomics of major crop species in the Solanaceae family

description: · genomes and annotations for 12, Sa01 and Sm01:  F12 is 12  ;S071 is Sm01 ; S173 is Sa01

· Code for analysis include: CENH3 ChIP-seq, LTR analysis, genome asm and anno, Genome-wide synteny construction and phylogenetic tree construction. etc.
DOI: 10.13140/rg.2.2.26439.15529
title: Final Plan of Jaipur after incorporation of Navagraha Mandala, Astronomical Details, Golden Ratios, geometrical relations etc.
DOI: 10.15468/dl.qspces
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrilus fleischeri"
 ]
}

 The dataset includes 19 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071650-251120083545085/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/14379875
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.cs3ynf
title: Occurrence Download

description: A dataset containing 3758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Angiopteris",
 "Year 1970-2025"
 ]
}

 The dataset includes 3758 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071651-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/ha4q-2y11
title: Data for paper'On the Interstellar Extinction Curve toward HD 93222, A Sightline with an Exceedingly Narrow 2175 Å Extinction Bump'
DOI: 10.15468/dl.xrpxpa
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material sample",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Datura stramonium"
 ]
}

 The dataset includes 38 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071652-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18138382
title: Supporting data and MATLAB code for "Persistent and intensifying heat extremes in global deeper soils"

description: 档案描述:全球深层土壤中持续且加剧的极端高温。本档案包含了支持论文《全球深层土壤中持续且强化的热极端值》(环境研究快报)的MATLAB代码和摘要表。文件夹:- 代码/:MATLAB脚本用于计算季节性和年度多层热浪指标,生成全球和区域地图及深度趋势,并进行基于土地覆盖(森林与非森林)的分析。- 表格/:与论文中地图及深度趋势面板对应的全球和区域统计数据,包括:* 五层多层热浪的平均发生频率、持续时间、峰值强度和严重程度。* 森林缓冲效应:五层非森林(灌木丛/草原/耕地)与森林之间在频率、持续时间、峰值强度和严重程度上的差异。论文中提供了如何获取和预处理输入数据的详细信息。
DOI: 10.15468/dl.fhps5z
title: Occurrence Download

description: A dataset listing the 304 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Fossil, Specimen, Material sample, Human Observation, Machine Observation, Observation)",
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "Year 1991-2020"
 ]
}

 The dataset's 304 records were derived from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071649-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z22cma
title: Occurrence Download

description: A dataset containing 20748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((5.06953 51.79451,5.83734 51.79451,5.83734 52.25971,5.06953 52.25971,5.06953 51.79451))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (NT, VU, EN, CR)",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 1926-2026"
 ]
}

 The dataset includes 20748 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071653-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skkscq
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.85088 48.91770,169.89990 48.91770,169.89990 68.11265,121.85088 68.11265,121.85088 48.91770))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Typha latifolia"
 ]
}

 The dataset includes 154 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071654-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7rnez
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((113.3 25.8,114.5 25.8,114.5 27.6,113.3 27.6,113.3 25.8))",
 "HasCoordinate is true",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 423 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071655-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x24xwj
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kraussillichirus kraussi (Stebbing, 1900))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 65 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017940-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.