cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18133008
title: Marktredwitz, Adler-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.15468/dl.jcf66r
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.25_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tachybaptus ruficollis",
 "Year 2015-2026"
 ]
}

 The dataset includes 171 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071168-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mu2r6h
title: Occurrence Download

description: A dataset containing 21020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physocarpus opulifolius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21020 records from 309 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071169-251120083545085/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.30987877.v1
title: 长江站的主流流量数据

description: 河流流量是流域尺度水文和生态过程的基本指标，但由于原位轨距网络分布稀疏以及传统卫星高度测量的局限性，其空间连续估计仍具挑战性。地表水与海洋地形（SWOT）任务的发射为以高空间分辨率获取河流水力变量提供了前所未有的机会;然而，现有的排放算法仍存在过度的距离尺度平均和简化的几何假设，这掩盖了局部水力的非均匀性。本研究基于有效水力模型（EHM）开发了空间显式、遥感驱动的流量反演框架，重新表述经典曼宁方程以确保与卫星可观测变量的兼容性。通过整合基于SWOT的水面高程和坡度，并结合基于Sentinel-2、受OpenStreetMap中心线约束的河宽，该模型实现了沿长江主流进行基于网格的、河程尺度的流量估算。模型参数通过原位观测进行校准，结果显示纳什-萨特克利夫效率值在多个站点中主要超过0.8，表现稳健。该框架有效捕捉了季节性流量动态及与河道形态、回水效应和人为影响相关的空间变异性。相关分析进一步揭示流量变异与气象、地形及植被相关因素之间的密切联系。这些结果表明多源卫星观测支持物理接地、空间连续的流量监测，为大型且未测量的流域中的水文分析和水资源管理提供了可扩展的方法论基础。
DOI: 10.5281/zenodo.18133045
title: Marktredwitz, Sonnen-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.18133044
title: Marktredwitz, Sonnen-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.15468/dl.c8wupt
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gymnadenia conopsea",
 "Year 1970-2000"
 ]
}

 The dataset includes 36 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071170-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gq6ze
title: Occurrence Download

description: A dataset containing 663292 species occurrences available in GBIF matching the query:
{
 "PublishingCountry" : [
 "is Iran (Islamic Republic of)"
 ]
}

 The dataset includes 663292 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071146-251120083545085/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.30987877
title: <b>Mainstream river discharge dataset of the Yangtze River estimated from SWOT satellite observations</b>

description: River discharge is a fundamental indicator of basin-scale hydrological and ecological processes, yet its spatially continuous estimation remains challenging due to the sparse distribution of in situ gauge networks and the limitations of traditional satellite altimetry. The launch of the Surface Water and Ocean Topography (SWOT) mission provides unprecedented opportunities to retrieve river hydraulic variables at high spatial resolution; however, existing discharge algorithms still suffer from excessive reach-scale averaging and simplified geometric assumptions that obscure local hydraulic heterogeneity.This study develops a spatially explicit, remote sensing–driven discharge inversion framework based on an Effective Hydraulic Model (EHM), which reformulates the classical Manning equation to ensure compatibility with satellite-observable variables. By integrating SWOT-derived water surface elevation and slope with Sentinel-2–based river width constrained by OpenStreetMap centerlines, the model enables grid-based, reach-scale discharge estimation along the main stem of the Yangtze River. Model parameters are calibrated using in situ observations, yielding robust performance with Nash–Sutcliffe efficiency values predominantly exceeding 0.8 across multiple stations.The proposed framework effectively captures seasonal discharge dynamics and spatial variability associated with channel morphology, backwater effects, and anthropogenic influences. Correlation analyses further reveal strong linkages between discharge variability and meteorological, topographic, and vegetation-related factors. These results demonstrate the capability of multi-source satellite observations to support physically grounded, spatially continuous discharge monitoring, providing a scalable methodological foundation for hydrological analysis and water-resources management in large and ungauged river basins.
DOI: 10.6084/m9.figshare.30987877.v3
title: <b>Mainstream river discharge dataset of the Yangtze River estimated from SWOT satellite observations</b>

description: River discharge is a fundamental indicator of basin-scale hydrological and ecological processes, yet its spatially continuous estimation remains challenging due to the sparse distribution of in situ gauge networks and the limitations of traditional satellite altimetry. The launch of the Surface Water and Ocean Topography (SWOT) mission provides unprecedented opportunities to retrieve river hydraulic variables at high spatial resolution; however, existing discharge algorithms still suffer from excessive reach-scale averaging and simplified geometric assumptions that obscure local hydraulic heterogeneity.This study develops a spatially explicit, remote sensing–driven discharge inversion framework based on an Effective Hydraulic Model (EHM), which reformulates the classical Manning equation to ensure compatibility with satellite-observable variables. By integrating SWOT-derived water surface elevation and slope with Sentinel-2–based river width constrained by OpenStreetMap centerlines, the model enables grid-based, reach-scale discharge estimation along the main stem of the Yangtze River. Model parameters are calibrated using in situ observations, yielding robust performance with Nash–Sutcliffe efficiency values predominantly exceeding 0.8 across multiple stations.The proposed framework effectively captures seasonal discharge dynamics and spatial variability associated with channel morphology, backwater effects, and anthropogenic influences. Correlation analyses further reveal strong linkages between discharge variability and meteorological, topographic, and vegetation-related factors. These results demonstrate the capability of multi-source satellite observations to support physically grounded, spatially continuous discharge monitoring, providing a scalable methodological foundation for hydrological analysis and water-resources management in large and ungauged river basins.
DOI: 10.6084/m9.figshare.30987877.v2
title: <b>Mainstream river discharge dataset of the Yangtze River for SWOT satellite–based estimation</b>

description: River discharge is a fundamental indicator of basin-scale hydrological and ecological processes, yet its spatially continuous estimation remains challenging due to the sparse distribution of in situ gauge networks and the limitations of traditional satellite altimetry. The launch of the Surface Water and Ocean Topography (SWOT) mission provides unprecedented opportunities to retrieve river hydraulic variables at high spatial resolution; however, existing discharge algorithms still suffer from excessive reach-scale averaging and simplified geometric assumptions that obscure local hydraulic heterogeneity.This study develops a spatially explicit, remote sensing–driven discharge inversion framework based on an Effective Hydraulic Model (EHM), which reformulates the classical Manning equation to ensure compatibility with satellite-observable variables. By integrating SWOT-derived water surface elevation and slope with Sentinel-2–based river width constrained by OpenStreetMap centerlines, the model enables grid-based, reach-scale discharge estimation along the main stem of the Yangtze River. Model parameters are calibrated using in situ observations, yielding robust performance with Nash–Sutcliffe efficiency values predominantly exceeding 0.8 across multiple stations.The proposed framework effectively captures seasonal discharge dynamics and spatial variability associated with channel morphology, backwater effects, and anthropogenic influences. Correlation analyses further reveal strong linkages between discharge variability and meteorological, topographic, and vegetation-related factors. These results demonstrate the capability of multi-source satellite observations to support physically grounded, spatially continuous discharge monitoring, providing a scalable methodological foundation for hydrological analysis and water-resources management in large and ungauged river basins.<br>
DOI: 10.15468/dl.pdv6vf
title: Occurrence Download

description: A dataset listing the 10305 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-73.54134000000001 -37.00658, -73.64178 -37.20954, -73.66267999999999 -37.25231, -73.68256 -37.33635, -73.66835 -37.59374, -73.66325000000001 -37.64571, -73.65989999999999 -37.69483, -73.65561 -37.72667, -73.60655 -37.78432, -73.56184 -37.84368, -73.52325 -37.90743, -73.49068 -37.97271, -73.89146 -38.35698, -73.94919 -38.31639, -73.95325 -38.34189, -73.92991000000001 -38.41842, -73.51794 -38.47695, -73.28533 -38.49014, -73.09957 -38.19021, -73.08134 -38.14094, -73.02786 -37.79855, -72.47844000000001 -37.7482, -72.38855 -37.84748, -72.32249 -37.87752, -72.11048 -37.99336, -71.67691000000001 -38.29644, -71.63379 -38.28223, -71.53386999999999 -38.2221, -71.0518 -38.11698, -70.98542 -38.10024, -71.13576999999999 -37.5966, -71.11981 -37.48137, -71.11481999999999 -37.20665, -71.11402 -37.11551, -71.48452 -37.0179, -71.54903 -37.02313, -71.79913999999999 -37.10934, -72.19206 -37.03514, -72.2597 -37.00055, -72.37017 -36.92573, -72.63114 -36.68599, -72.82377 -36.45834, -72.88656 -36.4439, -73.11689 -36.61473, -73.52675000000001 -36.9837, -73.54134000000001 -37.00658))"
 ]
}

 The dataset's 10305 records were derived from 500 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071166-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18133058
title: Marl, Elisabeth-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.18133059
title: Marl, Elisabeth-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.15468/dl.26g7y3
title: Occurrence Download

description: A dataset containing 8422814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juniperus brevifolia, Leiostyla macilenta, Lejeunea canariensis, Lejeunea mandonii, Leptodon longisetus, Leptodontium gemmascens, Lepus corsicanus, Leucodon treleasei, Limonium astypaleanum, Limonium carpathum, Limonium chrisianum, Limonium contractum, Limonium coronense, Limonium isidorum, Limonium meandrinum, Limonium pusillum, Limonium pylium, Limonium samium, Limonium sartorianum, Limonium xiliense, Linaria pseudolaxiflora, Lyciasalamandra helverseni, Macromia splendens, Marsilea quadrifolia, Marsupella profunda, Melanitta fusca, Mnioloma fuscum, Najas flexilis, Napaeus lichenicola, Nyctalus azoreum, Nyctalus lasiopterus, Obelus moratus, Onychoprion fuscatus, Oxyura leucocephala, Pedostrangalia ariadne, Pedostrangalia revestita, Pelobates cultripes, Pelophylax shqipericus, Phalaris maderensis, Planorbis presbensis, Platanus orientalis, Podarcis levendis, Podiceps nigricollis, Proteus anguinus, Prunus lusitanica, Pterodroma deserta, Puffinus yelkouan, Pyrrhula murina, Radula nudicaulis, Rana iberica, Rana latastei, Rhodotus palmatus, Rissa tridactyla, Rumex rupestris, Salamandra salamandra, Sambucus lanceolata, Saxifraga portosanctana, Schizymenium pontevedrense, Sedum brissemoretii, Silene hicesiae, Speleomantes genei, Spermophilus major, Sphagnum olafii, Sphingonotus imitans, Spirorbula squalida, Stictoleptura erythroptera, Sympetrum depressiusculum, Tacheocampylaea raspailii, Testudo hermanni, Tetrax tetrax, Theba impugnata, Thinobius newberyi, Thymus albicans, Triturus carnifex, Triturus macedonicus, Triturus marmoratus, Ulmus glabra, Vanellus vanellus, Wollastonaria leacockiana, Woodwardia radicans, Aeshna caerulea, Aeshna subarctica, Aeshna viridis, Alectoris graeca, Alectoris rufa, Allium lojaconoi, Allognathus pyrenaicus, Alophosia azorica, Alzoniella braccoensis, Amphidium curvipes, Amphorella cimensis, Arbutus canariensis, Arhopalus pinetorum, Armeria rouyana, Arvicola italicus, Arvicola sapidus, Atrichum androgynum, Bencomia caudata, Bison bonasus, Cernuella lampedusae)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2024",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8422814 records from 6915 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071084-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjsn5r
title: Occurrence Download

description: A dataset containing 69664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionCode is Assens municipality",
 "TaxonKey is Plantae",
 "HasCoordinate is TRUE",
 {
 "or" : [
 "Country is Albania",
 "Country is Austria",
 "Country is Bosnia and Herzegovina",
 "Country is Belgium",
 "Country is Bulgaria",
 "Country is Belarus",
 "Country is Switzerland",
 "Country is Cyprus",
 "Country is Czechia",
 "Country is Germany",
 "Country is Denmark",
 "Country is Estonia",
 "Country is Spain",
 "Country is Finland",
 "Country is France",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Greece",
 "Country is Croatia",
 "Country is Hungary",
 "Country is Ireland",
 "Country is Iceland",
 "Country is Italy",
 "Country is Lithuania",
 "Country is Luxembourg",
 "Country is Latvia",
 "Country is Moldova, Republic of",
 "Country is Montenegro",
 "Country is Malta",
 "Country is North Macedonia",
 "Country is Netherlands",
 "Country is Norway",
 "Country is Poland",
 "Country is Portugal",
 "Country is Romania",
 "Country is Serbia",
 "Country is Russian Federation",
 "Country is Sweden",
 "Country is Slovenia",
 "Country is Slovakia",
 "Country is Ukraine"
 ]
 }
 ]
}

 The dataset includes 69664 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009487-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x76p96
title: Occurrence Download

description: A dataset containing 85587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphausia superba Dana, 1850"
 ]
}

 The dataset includes 85587 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031250-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8daafp
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drosera collinsiae Brown ex Burtt Davy"
 ]
}

 The dataset includes 63 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009487-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nbblh
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Brazil",
 "HasCoordinate is true",
 "TaxonKey is Bertholletia excelsa Bonpl.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 210 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013875-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cewuwr
title: Occurrence Download

description: A dataset containing 13212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus americanus Erxleben, 1777"
 ]
}

 The dataset includes 13212 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031251-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvzo0k
title: Occurrence Download

description: A dataset containing 770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "TaxonKey is Cytisus malacitanus",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 770 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013869-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrytyj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is b5cdf794-8fa4-4a85-8b26-755d087bf53",
 "ScientificName is Euphorbiaceae"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013880-200221144449610/datasets/export for details.
DOI: 10.15468/dl.9yfnpu
title: Occurrence Download

description: A dataset containing 12421 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Haliotis rubra Leach, 1814"
 ]
}

 The dataset includes 12421 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000981-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6sxdy
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "TaxonKey is Galium boissieranum Ehrend. & Krendl",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 83 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013886-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfdomm
title: Occurrence Download

description: A dataset containing 1942 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Synthèse de la Répartition des populations de cerf élaphe en 1995 (réseau Ongulés sauvages ONCFS-FNC-FDC)"
 ]
}

 The dataset includes 1942 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026514-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.