cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/5qn-zl1-f5h
title: Achnatherum calamagrostis (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qp-2f0-pjx
title: Agrostis gigantea Roth

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qp-4te-yq8
title: Butomus umbellatus L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qp-e7l-8mh
title: Ribes spicatum x subsp. hispidulum × subsp. lapponicum

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qp-gxg-lq1
title: Juncus stygius L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qp-hy3-266
title: Melilotus officinalis (L.) Lam.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qp-j81-hje
title: Carex media R.Br.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qp-kfb-akj
title: Salix phylicifolia L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qp-mqv-09j
title: Carex flava L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qq-098-x9j
title: Polycarpon tetraphyllum (L.) L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qq-7xn-hsc
title: Sisymbrium officinale (L.) Scop.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5qq-b0l-hf5
title: Draba alpina L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.79832m
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Elaeagnus oxycarpa"
 ]
}

 The dataset includes 70 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003112-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh47sk
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003113-250914085247600/datasets/export for details.
DOI: 10.15468/dl.6dx69f
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence, Observation)",
 "Continent is Africa",
 "Country is Ethiopia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Otostegia integrifolia"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003114-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15584879
title: Wind Accretion in Massive Binaries Experiencing High Mass Loss Rates I. Dependency on Mass Ratio and Orbital Period

description: The dataset accompanying this study contains all essential components required to run the MESA (Modules for Experiments in Stellar Astrophysics) code for our numerical simulations investigating wind accretion in a binary system, as well as its dependence on orbital period and mass ratio. It includes a complete inlist file that defines the input physics, control parameters, and computational settings necessary for stellar evolution modeling. Additionally, the dataset provides the rn and mk files, which are used to compile the MESA source code and ensure proper execution on the user's system.

The dataset also includes the run_star_extras.f90 file, along with key output files generated during the simulations—namely, history.data and profile.data. The history.data file records the star’s global parameters (e.g., luminosity, surface temperature, stellar radius, total mass, central entropy, and energy contributions) as functions of time. In contrast, the profile.data files provide detailed snapshots of the star’s internal structure at selected time steps, offering spatially resolved data on quantities such as density, temperature, chemical composition, and energy generation rates.

To support data analysis and visualization, the dataset includes Python scripts that extract and plot key stellar parameters from the MESA outputs.
DOI: 10.5281/zenodo.15584880
title: Wind Accretion in Massive Binaries Experiencing High Mass Loss Rates I. Dependency on Mass Ratio and Orbital Period

description: The dataset accompanying this study contains all essential components required to run the MESA (Modules for Experiments in Stellar Astrophysics) code for our numerical simulations investigating wind accretion in a binary system, as well as its dependence on orbital period and mass ratio. It includes a complete inlist file that defines the input physics, control parameters, and computational settings necessary for stellar evolution modeling. Additionally, the dataset provides the rn and mk files, which are used to compile the MESA source code and ensure proper execution on the user's system.

The dataset also includes the run_star_extras.f90 file, along with key output files generated during the simulations—namely, history.data and profile.data. The history.data file records the star’s global parameters (e.g., luminosity, surface temperature, stellar radius, total mass, central entropy, and energy contributions) as functions of time. In contrast, the profile.data files provide detailed snapshots of the star’s internal structure at selected time steps, offering spatially resolved data on quantities such as density, temperature, chemical composition, and energy generation rates.

To support data analysis and visualization, the dataset includes Python scripts that extract and plot key stellar parameters from the MESA outputs.
DOI: 10.15468/dl.v7r9zp
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Erigeron pseudoseravschanicus"
 ]
}

 The dataset includes 36 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003115-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3r6k8y
title: Occurrence Download

description: A dataset containing 1563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Zanthoxylum dissitum"
 ]
}

 The dataset includes 1563 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003116-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e410807de1a9
title: Productiestatistiek Zorginstellingen
DOI: 10.57934/0b01e410807dea9d
title: Werknemers voor wie een ontslagvergunning is verleend door het UWV, op basis van Inkomstenverhouding-id volgens UWV
DOI: 10.15468/dl.pcmgdy
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 (Calidris pusilla)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003118-250914085247600/datasets/export for details.
DOI: 10.57934/0b01e410807df4a4
title: Kenmerken van AOW-uitkeringen
DOI: 10.57934/0b01e410807dff3f
title: Banen en lonen van werknemers op Caribisch Nederland
DOI: 10.15468/dl.sjpnue
title: Occurrence Download

description: A dataset containing 553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.33436 44.07178,-0.21929 44.07178,-0.21929 44.11542,-0.33436 44.11542,-0.33436 44.07178))",
 "HasGeospatialIssue is false",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "TaxonKey is Chiroptera",
 "Year 2000-2025"
 ]
}

 The dataset includes 553 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003120-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e410807e12b7
title: Internationale handel in goederen op bedrijfsniveau voor bedrijven in het Productienetwerk Nederland
DOI: 10.57934/0b01e410807e2898
title: Eigendom en type eigenaar van woningen
DOI: 10.57934/0b01e410807e6147
title: Zelfstandigen Enquête Arbeid (ZEA) bevat informatie op het gebied van arbeidsomstandigheden, arbeidsinhoud, arbeidsverhoudingen en arbeidsvoorwaarden van zelfstandigen
DOI: 10.15468/dl.wyhm3u
title: Occurrence Download

description: A dataset containing 8011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((1.45846 49.0475,1.49263 49.04497,1.52332 49.04303,1.5354 49.04582,1.55772 49.05543,1.57724 49.06968,1.58034 49.08425,1.58654 49.1013,1.5884 49.10935,1.5895 49.11862,1.58604 49.12824,1.58517 49.13956,1.57134 49.14918,1.5575 49.15766,1.53169 49.16638,1.50162 49.17227,1.46691 49.16607,1.44894 49.15739,1.43964 49.1453,1.4334 49.12901,1.42648 49.1126,1.42184 49.09256,1.43345 49.06565,1.45846 49.0475))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "TaxonKey is Animalia",
 "Year 2015-2025"
 ]
}

 The dataset includes 8011 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003122-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17097107
title: Sulpicia servi filia- La voce femminile dell'elegia latina
DOI: 10.15468/dl.uzunum
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003126-250914085247600/datasets/export for details.
DOI: 10.15468/dl.37bt5v
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003127-250914085247600/datasets/export for details.
DOI: 10.34810/data591
title: ERC Artsoundscapes project – Impulse responses measured at the Bacinete rock art complex (Bacinete main shelter and Bacinete III rock art sites)

description: Data collected in the framework of the ERC &lt;a href="https://cordis.europa.eu/project/id/787842"&gt;Artsoundscapes&lt;/a&gt; project. (The sound of special places: exploring rock art soundscapes and the sacred, ref. 787842 ). The project focuses on the relationship between archaeoacoustics and rock art. The dataset includes audio files that are the impulse responses gathered in the Bacinete archaeological complex, in particular in the rock art sites of Bacinete III and Bacinete Main Shelter (Cádiz). The tables include the acoustic data derived from those impulse responses.
description: Raw recordings and other formats of impulse responses are also available on request. For any further information about this research, please contact ERC Artsoundscapes Project PI, Margarita Díaz-Andreu (m.diaz-andreu@ub.edu)
description: ARTA, 1.9.5
description: Easera, 1.2
DOI: 10.57934/0b01e410807e8014
title: Personen naar demografische kenmerken in de Enquête Beroepsbevolking (EBB).
DOI: 10.5281/zenodo.15682591
title: High Power Accretion in Massive Binary Systems and Impact of Metallicity

description: The dataset provided includes all the necessary files to run the MESA code for our numerical experiment on accretion mechanics in massive stars for three different mateallicities e.g., Glactic (Z=0.02),  LMC (Z=0.008), and SMC (Z=0.008). Specifically, it contains the inlist file with all input parameters for the stellar modeling, as well as the rn and mk files required for MESA compilation. We also include the history and profile files, which store the data points used to generate plots like parameters: lumiosty, temapture, radius, mass, entropy, and enrgies. Additionally, we provide Python scripts used to create the graphs from the output data.
DOI: 10.5281/zenodo.15682592
title: High Power Accretion in Massive Binary Systems and Impact of Metallicity

description: The dataset provided includes all the necessary files to run the MESA code for our numerical experiment on accretion mechanics in massive stars for three different mateallicities e.g., Glactic (Z=0.02),  LMC (Z=0.008), and SMC (Z=0.008). Specifically, it contains the inlist file with all input parameters for the stellar modeling, as well as the rn and mk files required for MESA compilation. We also include the history and profile files, which store the data points used to generate plots like parameters: lumiosty, temapture, radius, mass, entropy, and enrgies. Additionally, we provide Python scripts used to create the graphs from the output data.
DOI: 10.15468/dl.jfwkue
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphidius colemani",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003128-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e410807e9c90
title: Woonbase Extra Kenmerken Personen Aandachtsgroepen Woonwagencentra
DOI: 10.57934/0b01e410807e9cec
title: Woonbase Extra Populatie Personen Aandachtsgroepen RNI
DOI: 10.34740/kaggle/dsv/13065204
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.57934/0b01e410807ee3f6
title: Schoolverlatersonderzoek (SVO), kenmerken van schoolverlaters die hun vo- of mbo-diploma hebben behaald of die het onderwijs voortijdig hebben verlaten
DOI: 10.15468/dl.pkg9se
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 (Calidris pusilla)",
 "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/0003131-250914085247600/datasets/export for details.
DOI: 10.5281/zenodo.15315270
title: Numerical Simulation to study the Accretion mecahnics in Massive stars

description: The dataset provided includes all the necessary files to run the MESA code for our numerical experiment on accretion mechanics in massive stars. Specifically, it contains the inlist file with all input parameters for the stellar modeling, as well as the rn and mk files required for MESA compilation. We also include the history and profile files, which store the data points used to generate plots like parameters: lumiosty, temapture, radius, mass, entropy, and enrgies. Additionally, we provide Python scripts used to create the graphs from the output data.
DOI: 10.5281/zenodo.15315269
title: Numerical Simulation to study the Accretion mecahnics in Massive stars

description: The dataset provided includes all the necessary files to run the MESA code for our numerical experiment on accretion mechanics in massive stars. Specifically, it contains the inlist file with all input parameters for the stellar modeling, as well as the rn and mk files required for MESA compilation. We also include the history and profile files, which store the data points used to generate plots like parameters: lumiosty, temapture, radius, mass, entropy, and enrgies. Additionally, we provide Python scripts used to create the graphs from the output data.
DOI: 10.15468/dl.kwyygt
title: Occurrence Download

description: A dataset containing 2282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zanthoxylum ailanthoides"
 ]
}

 The dataset includes 2282 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003134-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data629
title: ERC Artsoundscapes project – SIMO (Single Input Multiple Output) impulse responses processing

description: SIMO Matlab script used in the framework of the ERC project "The sound of special places: exploring rock art soundscapes and the sacred" (acronym: Artsoundscapes, reference 787842) with ICREA Research Professor Margarita Díaz-Andreu as PI. The project focuses on the relationship between archaeoacoustics and rock art. The SIMO program source code includes the main Matlab (R2022a) script and the subroutines used for the post-processing of the audio files gathered during fieldwork to extract the spatial impulse responses (IRs). A set of audio files ready to run the main script are also provided.
description: SIMO software is an adaptation of the MIMO_Matlab script designed by Adriano Farina, available at https://github.com/xorgol/MIMO_Matlab
DOI: 10.57934/0b01e410807ee8b1
title: Migratiemotieven van immigranten met de buitenlandse nationaliteit
DOI: 10.57934/0b01e410807f7959
title: Zorgkosten van Nederlandse ingezetenen met een basisverzekering
DOI: 10.57934/0b01e410807f848c
title: Energieverbruik particuliere woningen
DOI: 10.15468/dl.c4ameb
title: Occurrence Download

description: A dataset containing 38716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Marmaronetta angustirostris"
 ]
}

 The dataset includes 38716 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003133-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e410807f94f5
title: Energielabelcertificaten van woningen en niet-woningen
DOI: 10.15468/dl.h7u925
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphidius colemani",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003135-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e410807f9b4c
title: Kenmerken, huur, kosten en weegfactor van een zelfstandige huurwoning in Nederland
DOI: 10.57760/sciencedb.agriculture.00224
title: Deep Learning Training Dataset for Binocular Stereo Images of Dynamic Targets in Cattle Farms
title: 牛场动态目标双目立体图像深度学习训练数据集

description: 该数据集以“养牛场的动态双目立体图像”为中心，旨在支持基于深度学习的对象检测、行为识别和场景理解任务。数据收集过程是使用 Stereolabs 的 ZED2i 双目立体视觉相机完成的。该数据于 2024 年 7 月在北京市昌平区北京农机试验站的奶牛场采集。在现场的实际运营中，饲养了 450 头荷斯坦奶牛，具有很强的代表性。为逼真还原养牛场场景，提高模型的泛化能力，采集人员驱使牛群在养殖区自由移动，并以每秒 30 帧的频率录制高分辨率双目视频，模拟智能巡检设备的工作模式。采集高度控制在 0.8-1 米，确保视频图像准确覆盖奶牛和行人的典型活动状态。原始视频通过 Zed SDK 解码为静态图像序列，并与时间戳同步，提取成对的左视图和右视图图像，并以 JPEG 格式保存。随后，进行质量控制和图像筛选，包括模糊检测、亮度异常去除和对比度增强，以确保每组图像具有良好的视觉清晰度和结构完整性。为了进一步扩展样本多样性，数据集使用 Albusions 增强库进行了五轮图像增强，涵盖水平翻转、亮度和对比度扰动、小角度旋转和高斯模糊等策略。所有增强图像都严格保持时间戳和命名结构的一致性，以保持双目图像配对的空间和语义一致性。最终数据集由 1102 对原始图像组成，这些图像经过增强以形成 5500 多对双目图像样本。该图像覆盖了早晨、中午、傍晚等不同时间段，涵盖了晴天、阴天等不同气象条件，记录了犊牛、种牛、成年奶牛、干奶牛等饲喂阶段的自然行为。目标的数量也具有多样性，包括单类、单目标和多类和目标的混合场景。图像往往伴随着遮挡、逆光、阴影等复杂的环境因素，真实地反映了水产养殖场景中的视觉感知挑战。该数据集结构清晰，分为训练集、验证集和测试集。每个子集都包含两个子文件夹 left 和 right，分别存储成对的图像。在图像命名中保留时间戳和视点标识，以便于时间同步和空间校准。数据无标签，可根据研究需求灵活标注，适配主流标注工具和深度学习框架，以及无监督任务和伪标签生成。该数据集不仅具有良好的数据质量和多样性，而且为未来智能牧场图像感知系统的发展提供了坚实的基础。
description: 该数据集以“养牛场的动态双目立体图像”为中心，旨在支持基于深度学习的对象检测、行为识别和场景理解任务。数据收集过程是使用 Stereolabs 的 ZED2i 双目立体视觉相机完成的。该数据于 2024 年 7 月在北京市昌平区北京农机试验站的奶牛场采集。在现场的实际运营中，饲养了 450 头荷斯坦奶牛，具有很强的代表性。为逼真还原养牛场场景，提高模型的泛化能力，采集人员驱使牛群在养殖区自由移动，并以每秒 30 帧的频率录制高分辨率双目视频，模拟智能巡检设备的工作模式。采集高度控制在 0.8-1 米，确保视频图像准确覆盖奶牛和行人的典型活动状态。原始视频通过 Zed SDK 解码为静态图像序列，并与时间戳同步，提取成对的左视图和右视图图像，并以 JPEG 格式保存。随后，进行质量控制和图像筛选，包括模糊检测、亮度异常去除和对比度增强，以确保每组图像具有良好的视觉清晰度和结构完整性。为了进一步扩展样本多样性，数据集使用 Albusions 增强库进行了五轮图像增强，涵盖水平翻转、亮度和对比度扰动、小角度旋转和高斯模糊等策略。所有增强图像都严格保持时间戳和命名结构的一致性，以保持双目图像配对的空间和语义一致性。最终数据集由 1102 对原始图像组成，这些图像经过增强以形成 5500 多对双目图像样本。该图像覆盖了早晨、中午、傍晚等不同时间段，涵盖了晴天、阴天等不同气象条件，记录了犊牛、种牛、成年奶牛、干奶牛等饲喂阶段的自然行为。目标的数量也具有多样性，包括单类、单目标和多类和目标的混合场景。图像往往伴随着遮挡、逆光、阴影等复杂的环境因素，真实地反映了水产养殖场景中的视觉感知挑战。该数据集结构清晰，分为训练集、验证集和测试集。每个子集都包含两个子文件夹 left 和 right，分别存储成对的图像。在图像命名中保留时间戳和视点标识，以便于时间同步和空间校准。数据无标签，可根据研究需求灵活标注，适配主流标注工具和深度学习框架，以及无监督任务和伪标签生成。该数据集不仅具有良好的数据质量和多样性，而且为未来智能牧场图像感知系统的发展提供了坚实的基础。
DOI: 10.15468/dl.pyxu3f
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Elymus atratus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003137-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57934/0b01e410807f9bc0
title: Gewicht per CPA-productgroep en basisjaar voor prijsindices van diensten