cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vfng25
title: Occurrence Download

description: A dataset containing 163214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, Muestreos de fauna silvestre existente en la franja de protección del embalse y áreas de reserva protectora de la Central Hidroeléctrica Sogamoso, Proyecto fauna y sistemas productivos en el área de influencia de la Central Hidroeléctrica Sogamoso - Santander, Caracterización biótica de la Reserva ProAves Pauxi Pauxi en el departamento de Santander, Colombia, Field Museum of Natural History (Botany) Seed Plant Collection, Colección Herpetológica (Reptiles) del Museo de Historia Natural de la Universidad Industrial de Santander, Herbario CDMB - Jardín Botánico Eloy Valenzuela, Herbario de la Universidad Industrial de Santander, Monitoreo de especies endémicas y amenazadas del área de influencia de las vías sustitutivas Central Hidroeléctrica Sogamoso)",
 "Geometry POLYGON((-73.49738 6.91822,-73.21409 6.91822,-73.21409 7.19496,-73.49738 7.19496,-73.49738 6.91822))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 163214 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078106-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44gmuz
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Gammarus pseudolimnaeus Bousfield, 1958",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078120-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13293229
title: Data for PKiKP and PcP phases

description: Data for AGU Publication
DOI: 10.48612/msupe/uv57-adu1-e575
title: Анализ мозговой активности при конфигурационном научении с помощью магнитоэнцефалографии

description: Работа посвящена исследованию кодирования мозгом комплексных стимулов при конфигурационном ассоциативном научении у человека. В исследовании приняли участие 29 добровольцев. Использовались четыре элементных стимула разной модальности (два зрительных и два слуховых) и два комплексных мультимодальных стимула, которые были составлены из тех же элементных стимулов. Результаты исследования показали, что подкрепление комплексного стимула сопровождается значимым увеличением мощности тета-осцилляций. Кроме того, выявлено, что кодирование конфигурационной ассоциации вовлекает тета-осцилляции в большей степени в сравнении с элементной ассоциацией. Эти эффекты выявлены в локализациях, указывающих на префронтальную кору, левые дорсолатеральные фронтальные области, правые височные области, и заднетеменные (теменно-затылочные) области. Предположительно, этот феномен является отражением вовлечения гиппокампа в кодирование комплексного стимула и взаимодействия между гиппокампом и ассоциативными областями новой коры.
DOI: 10.5281/zenodo.11671215
title: Pulse Voltage Response Generation: TBSI-Lijing Battery Dataset

description: In the retired batteries sustainable utilization scenario, preprocessing steps such as capacity grading and consistency matching is essential to determine how a battery should be reused or recycled. The conventional approach of measuring battery state of health (SOH), charge-discharge profiles, and other related properties through long-time charge-discharge cycle is both time-consuming and energy-intensive. Therefore, developing rapid, non-invasive, and sustainable preprocessing methods for randomly retired batteries is crucial. However, actual measured data in this field are very limited, both in terms of the quantity of retired batteries and the diversity of battery chemistries and materials. To address this gap, we open-source this Pulse Voltage Response Generation: TBSI-Lijing Battery Dataset to foster further academic research and industrial applications in the field of battery SOH fast estimation and consistency fast assessment. Xiamen Lijing New Energy Technology Co., Ltd., collected this dataset. The collaboration team at Tsinghua Berkeley Shenzhen Institute (TBSI) processed this dataset and utilized generative models for data augmentation, significantly enhancing the economic feasibility of large-scale battery repurposing.
DOI: 10.5281/zenodo.11671216
title: Pulse Voltage Response Generation: TBSI-Lijing Battery Dataset

description: In the retired batteries sustainable utilization scenario, preprocessing steps such as capacity grading and consistency matching is essential to determine how a battery should be reused or recycled. The conventional approach of measuring battery state of health (SOH), charge-discharge profiles, and other related properties through long-time charge-discharge cycle is both time-consuming and energy-intensive. Therefore, developing rapid, non-invasive, and sustainable preprocessing methods for randomly retired batteries is crucial. However, actual measured data in this field are very limited, both in terms of the quantity of retired batteries and the diversity of battery chemistries and materials. To address this gap, we open-source this Pulse Voltage Response Generation: TBSI-Lijing Battery Dataset to foster further academic research and industrial applications in the field of battery SOH fast estimation and consistency fast assessment. Xiamen Lijing New Energy Technology Co., Ltd., collected this dataset. The collaboration team at Tsinghua Berkeley Shenzhen Institute (TBSI) processed this dataset and utilized generative models for data augmentation, significantly enhancing the economic feasibility of large-scale battery repurposing.
DOI: 10.5281/zenodo.13360039
title: Pulse Voltage Response Generation: TBSI-Lijing Battery Dataset

description: In the retired batteries sustainable utilization scenario, preprocessing steps such as capacity grading and consistency matching is essential to determine how a battery should be reused or recycled. The conventional approach of measuring battery state of health (SOH), charge-discharge profiles, and other related properties through long-time charge-discharge cycle is both time-consuming and energy-intensive. Therefore, developing rapid, non-invasive, and sustainable preprocessing methods for randomly retired batteries is crucial. However, actual measured data in this field are very limited, both in terms of the quantity of retired batteries and the diversity of battery chemistries and materials. To address this gap, we open-source this Pulse Voltage Response Generation: TBSI-Lijing Battery Dataset to foster further academic research and industrial applications in the field of battery SOH fast estimation and consistency fast assessment. Xiamen Lijing New Energy Technology Co., Ltd., collected this dataset. The collaboration team at Tsinghua Berkeley Shenzhen Institute (TBSI) processed this dataset and utilized generative models for data augmentation, significantly enhancing the economic feasibility of large-scale battery repurposing.
DOI: 10.5281/zenodo.13360631
title: Pulse Voltage Response Generation: TBSI-Lijing Battery Dataset

description: In the retired batteries sustainable utilization scenario, preprocessing steps such as capacity grading and consistency matching is essential to determine how a battery should be reused or recycled. The conventional approach of measuring battery state of health (SOH), charge-discharge profiles, and other related properties through long-time charge-discharge cycle is both time-consuming and energy-intensive. Therefore, developing rapid, non-invasive, and sustainable preprocessing methods for randomly retired batteries is crucial. However, actual measured data in this field are very limited, both in terms of the quantity of retired batteries and the diversity of battery chemistries and materials. To address this gap, we open-source this Pulse Voltage Response Generation: TBSI-Lijing Battery Dataset to foster further academic research and industrial applications in the field of battery SOH fast estimation and consistency fast assessment. Xiamen Lijing New Energy Technology Co., Ltd., collected this dataset. The collaboration team at Tsinghua Berkeley Shenzhen Institute (TBSI) processed this dataset and utilized generative models for data augmentation, significantly enhancing the economic feasibility of large-scale battery repurposing.
DOI: 10.15468/dl.2t2hyb
title: Occurrence Download

description: A dataset containing 4541 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Gammarus roeselii Gervais, 1835",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 4541 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078122-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/17
title: The Design and Evaluation of Interfaces for Navigating Gigapixel Images in Digital Pathology

description: These datasets are from evaluations of the Leeds Virtual Microscope that involved pathologists making diagnoses of cancer. The data range from virtual slides to objective and subjective data provided by participants in the studies.
DOI: 10.15468/dl.tcxhpz
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pavo muticus Linnaeus, 1766",
 "Year 1980-2000"
 ]
}

 The dataset includes 73 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078123-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93cfvm
title: Occurrence Download

description: A dataset containing 3889 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Gammarus fossarum Koch, 1836",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 3889 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078124-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sajkjy
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron pseudotrichanthum Sleumer"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078125-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tv6a9t
title: Occurrence Download

description: A dataset containing 310093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((99.06715 21.11348,101.72502 21.08896,102.27854 22.24696,105.28794 22.76593,106.05271 22.42296,105.46305 24.98729,104.1991 26.59492,105.6982 27.15953,105.74117 28.32825,104.52364 28.45257,103.3426 28.47997,103.06342 27.70595,102.46519 26.64156,101.6476 26.64156,100.88984 26.39176,100.4312 27.97045,99.84444 27.46681,99.2637 29.08921,98.78308 29.17667,97.52 29.25,97.46023 23.54588,98.45703 23.79256,98.94593 22.79748,99.06715 21.11348))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2024"
 ]
}

 The dataset includes 310093 records from 492 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078110-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvr6y7
title: Occurrence Download

description: A dataset containing 227468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Country is Greenland",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 227468 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078113-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x955pu
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Gastrosaccus roscoffensis Bacescu, 1970",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078127-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9qm4a
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Didymocheton gaudichaudianus A.Juss."
 ]
}

 The dataset includes 108 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078128-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjcmgn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Hemimysis speluncola Ledoyer, 1963",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078129-240626123714530/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2f3b52
title: CCDC 2237523: Experimental Crystal Structure Determination

description: Related Article: Mohanad Diab, Kuldeep Jaiswal, Deependra Bawari, Roman Dobrovetsky
|2023|Isr.J.Chem.|63|e202300010|doi:10.1002/ijch.202300010
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3b63
title: CCDC 2237524: Experimental Crystal Structure Determination

description: Related Article: Mohanad Diab, Kuldeep Jaiswal, Deependra Bawari, Roman Dobrovetsky
|2023|Isr.J.Chem.|63|e202300010|doi:10.1002/ijch.202300010
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3b74
title: CCDC 2237525: Experimental Crystal Structure Determination

description: Related Article: Mohanad Diab, Kuldeep Jaiswal, Deependra Bawari, Roman Dobrovetsky
|2023|Isr.J.Chem.|63|e202300010|doi:10.1002/ijch.202300010
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3b85
title: CCDC 2237526: Experimental Crystal Structure Determination

description: Related Article: Mohanad Diab, Kuldeep Jaiswal, Deependra Bawari, Roman Dobrovetsky
|2023|Isr.J.Chem.|63|e202300010|doi:10.1002/ijch.202300010
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3b96
title: CCDC 2237527: Experimental Crystal Structure Determination

description: Related Article: Mohanad Diab, Kuldeep Jaiswal, Deependra Bawari, Roman Dobrovetsky
|2023|Isr.J.Chem.|63|e202300010|doi:10.1002/ijch.202300010
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3bb7
title: CCDC 2237528: Experimental Crystal Structure Determination

description: Related Article: Mohanad Diab, Kuldeep Jaiswal, Deependra Bawari, Roman Dobrovetsky
|2023|Isr.J.Chem.|63|e202300010|doi:10.1002/ijch.202300010
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ft09l
title: CCDC 2258359: Experimental Crystal Structure Determination

description: Related Article: Liangmeng Hao, Fan Liu, Xu Wang, Lei Kang, Yucheng Wang, Lingsong Wang, Zheshuai Lin, Weigang Zhu|2024|Small|20|2308470|doi:10.1002/smll.202308470
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ft0ny
title: CCDC 2258370: Experimental Crystal Structure Determination

description: Related Article: Liangmeng Hao, Fan Liu, Xu Wang, Lei Kang, Yucheng Wang, Lingsong Wang, Zheshuai Lin, Weigang Zhu|2024|Small|20|2308470|doi:10.1002/smll.202308470
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.dtsk5u
title: Occurrence Download

description: A dataset containing 3318 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Neomysis integer (Leach, 1815)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 3318 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078130-240626123714530/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.26809102
title: Extreme Fieldwork: Flame-sealed Capillaries versus Frozen Serums to Estimate Body Composition of Southern Elephant Seals (<i>Mirounga leonina</i>) using Isotopic Dilution.

description: Body composition is an important parameter in diving animals intermittently fasting on land, such as southern elephant seals, as it is known to impact their time of departure at sea, swimming effort, foraging success, and survival. Deuterium labeled water is commonly used to assess total body water, but a precise indication of equilibration time in this species and reliable sample storage are lacking. We injected newly weaned southern elephant seal female pups with deuterium labelled water. We thereafter blood sampled the seals several times to assess the equilibration time and body composition. We implemented two storage methods, flame-sealed capillaries and frozen serums. The frozen serums method was reliable as capillaries and safer to bring undamaged samples from the field. This method of determining body composition in wild animals is reliable and easily applicable for isolated and difficult-to-access fieldwork.
DOI: 10.6084/m9.figshare.26809102.v1
title: Extreme Fieldwork: Flame-sealed Capillaries versus Frozen Serums to Estimate Body Composition of Southern Elephant Seals (<i>Mirounga leonina</i>) using Isotopic Dilution.

description: Body composition is an important parameter in diving animals intermittently fasting on land, such as southern elephant seals, as it is known to impact their time of departure at sea, swimming effort, foraging success, and survival. Deuterium labeled water is commonly used to assess total body water, but a precise indication of equilibration time in this species and reliable sample storage are lacking. We injected newly weaned southern elephant seal female pups with deuterium labelled water. We thereafter blood sampled the seals several times to assess the equilibration time and body composition. We implemented two storage methods, flame-sealed capillaries and frozen serums. The frozen serums method was reliable as capillaries and safer to bring undamaged samples from the field. This method of determining body composition in wild animals is reliable and easily applicable for isolated and difficult-to-access fieldwork.