cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/bdv-s9y-sfj
title: Leucanthemum ircutianum subsp. ircutianum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n2z-30p-psx
title: Scutellaria minor Huds.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kgl-px5-6wa
title: Leucanthemum ircutianum subsp. ircutianum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34816/ifao.archives.301422
title: GEBEL EL-ZEIT_nb_1986_03925

description: Référence : nb_1986_03925<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 1 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/hhk-4lp-k86
title: Leucanthemum ircutianum subsp. ircutianum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rj1-pd8-wld
title: Leucanthemum ircutianum subsp. ircutianum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/w0e-nap-kt3
title: Leucanthemum vulgare Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3886/e235541
title: Natural Disasters, Missing Pupils: Evidence from Colonial Jamaica’s School System

description: This study provides a quantitative analysis of how recurrent natural disasters disrupted schooling and human capital formation in a low-capacity colonial setting. The central purpose is to determine the causal impact of hurricanes on school attendance and academic performance in colonial Jamaica from 1892 to 1942. The study investigates the primary mechanisms driving these effects and examines how impacts varied across parishes with different economic and institutional characteristics. The analysis is based on a newly assembled monthly panel dataset covering the 50-year period. The dataset links parish-level school attendance records and annual school-level examination scores, which were digitized from historical government publications including The Jamaica Gazette and The Jamaican Bluebooks. This educational data is merged with meteorological data, primarily six-hourly hurricane wind-field reconstructions derived from the HURDAT database. Hurricane exposure is measured using both a continuous wind-power index and discrete category indicators. Additional data on historical population, used to create a population-weighted destruction index, were sourced from the History Database of the Global Environment (HYDE 3.2). Major topics covered include the dynamic effects of hurricane strikes on monthly school attendance, the impact on annual student examination marks, and the mediating role of school absence in explaining learning loss. The study also explores heterogeneous effects based on parish-level characteristics, including urbanization, dependence on agriculture, and historical volatility in school attendance. The dataset includes controls for other major shocks, such as the 1907 Kingston Earthquake (measured on the Rossi-Forel scale) and the 1918 influenza epidemic. The causal effects are estimated using several econometric models.
DOI: 10.34816/ifao.archives.301423
title: GEBEL EL-ZEIT_nb_1986_03926

description: Référence : nb_1986_03926<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 1 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/gmr-ggl-p6x
title: Leucanthemum ircutianum subsp. ircutianum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/z5m-v8q-0fc
title: Leucanthemum ircutianum subsp. ircutianum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3886/e235541v2
title: Natural Disasters, Missing Pupils: Evidence from Colonial Jamaica’s School System

description: This study provides a quantitative analysis of how recurrent natural disasters disrupted schooling and human capital formation in a low-capacity colonial setting. The central purpose is to determine the causal impact of hurricanes on school attendance and academic performance in colonial Jamaica from 1892 to 1942. The study investigates the primary mechanisms driving these effects and examines how impacts varied across parishes with different economic and institutional characteristics. The analysis is based on a newly assembled monthly panel dataset covering the 50-year period. The dataset links parish-level school attendance records and annual school-level examination scores, which were digitized from historical government publications including The Jamaica Gazette and The Jamaican Bluebooks. This educational data is merged with meteorological data, primarily six-hourly hurricane wind-field reconstructions derived from the HURDAT database. Hurricane exposure is measured using both a continuous wind-power index and discrete category indicators. Additional data on historical population, used to create a population-weighted destruction index, were sourced from the History Database of the Global Environment (HYDE 3.2). Major topics covered include the dynamic effects of hurricane strikes on monthly school attendance, the impact on annual student examination marks, and the mediating role of school absence in explaining learning loss. The study also explores heterogeneous effects based on parish-level characteristics, including urbanization, dependence on agriculture, and historical volatility in school attendance. The dataset includes controls for other major shocks, such as the 1907 Kingston Earthquake (measured on the Rossi-Forel scale) and the 1918 influenza epidemic. The causal effects are estimated using several econometric models.
DOI: 10.34816/ifao.archives.301424
title: GEBEL EL-ZEIT_nb_1986_03927

description: Référence : nb_1986_03927<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 1 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/9l5-4kn-18v
title: Senecio polygaloides Phil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zdc-g8z-9n5
title: Leucanthemum ircutianum subsp. ircutianum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lln-frt-4kg
title: Leucanthemum vulgare Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34816/ifao.archives.301425
title: GEBEL EL-ZEIT_nb_1986_03928

description: Référence : nb_1986_03928<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 1 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/9pr-wn5-k53
title: Dracocephalum peltatum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9ts-wn1-zn6
title: Leucanthemum vulgare Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/7rh-fpl-ch7
title: Dracocephalum peltatum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fyd-2eg-rme
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/l9n-b0w-ppy
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mcg-4q3-8nr
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/trk-d1d-k9k
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/1jt-02l-zv9
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ft9-824-0r7
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/7qa-921-174
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gxa-2z0-yd7
title: Leucanthemum vulgare Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xhy-c34-t8t
title: Dracocephalum baldshuanicum (Gontsch.) A.L.Budantzev

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/e1c-lb6-cwm
title: Leucanthemum vulgare Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lqt-fvg-flw
title: Leucanthemum vulgare Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34816/ifao.archives.301426
title: GEBEL EL-ZEIT_nb_1987_01179

description: Référence : nb_1987_01179<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 2 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/2ym-jlt-86l
title: Leucanthemum ircutianum subsp. ircutianum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9cm-rkl-d6h
title: Leucanthemum vulgare Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/j31-rqt-ty7
title: Simethis mattiazzii (Vand.) Sacc.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34816/ifao.archives.301427
title: GEBEL EL-ZEIT_nb_1987_01182

description: Référence : nb_1987_01182<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 2 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/dt2-4w5-knf
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wn2-8vw-99g
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2ew-d3w-fbp
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/z21-gn3-r87
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34816/ifao.archives.301428
title: GEBEL EL-ZEIT_nb_1987_01183

description: Référence : nb_1987_01183<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 2 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/wjp-7r2-zzb
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5281/zenodo.15835056
title: Remote sensing derived onshore wind turbine locations for Germany

description: The rapid expansion of renewable energy sources poses significant challenges in reconciling energy development with competing interests. This underscores the necessity for precise spatial data to facilitate effective balancing, management, or evaluation of compliance with regulatory frameworks.


In Germany, a widely used data source for location and plant specific data is the [Marktstammdatenregister](https://www.marktstammdatenregister.de/MaStR) operated by the Federal Network Agency. This dataset builds upon the Marktstammdatenregister and enhances its spatial accuracy of onshore wind power plant locations using high resolution remote sensing data and object detection deep learning.


The dataset consists of point geometries for onshore wind turbines in Germany. The wind turbines were detected using YOLO an object detection algorithm, on high-resolution PlanetScope satellite image time series. The inference on PlanetScope time series, in particular Global Monthly basemaps, include basemaps for the months of April to October for the years 2018 to 2024 with 45 German wide inferences in total. The training dataset was build using wind turbine sites from Manske & Schmiedt (2023) from the UFZ, which semi-manually corrected the site information of the Marktstammdatenregister for the years 2021, 2022 and 2023. Hereby the training dataset was curated by evenly sampling wind power plants based on geographic location. Additionally negative samples were added to the dataset both picked randomly from all over Germany, excluding wind power plant sites by a certain distance, as well as from specific objects prone to be detected as false positives such as power towers, cell phone towers or similar based on Open Street Map.


The dataset was refined in multiple iterations by filtering bad initial labels which could not be re-detected by a trained model over multiple time steps, as well as by adding more samples of scenes where the model had difficulties.

The resulting monthly detections of onshore wind turbines over Germany were aggregated throughout time by merging all detections to a single detection time series if it would occur in a certain buffer throughout time. Hereby, we added the detected time stamp time series as an addition attribute to the resulting aggregate points. In order to filter detection noise, the dataset can individually be filtered for points which exceed a certain detection count.

In future works we will update this dataset to recent month, an enhanced post-processing to filter false detections, as well as links to IDs of the German Marktstammdatenregister per detection.
DOI: 10.5281/zenodo.15835057
title: Remote sensing derived onshore wind turbine locations for Germany

description: The rapid expansion of renewable energy sources poses significant challenges in reconciling energy development with competing interests. This underscores the necessity for precise spatial data to facilitate effective balancing, management, or evaluation of compliance with regulatory frameworks.


In Germany, a widely used data source for location and plant specific data is the [Marktstammdatenregister](https://www.marktstammdatenregister.de/MaStR) operated by the Federal Network Agency. This dataset builds upon the Marktstammdatenregister and enhances its spatial accuracy of onshore wind power plant locations using high resolution remote sensing data and object detection deep learning.


The dataset consists of point geometries for onshore wind turbines in Germany. The wind turbines were detected using YOLO an object detection algorithm, on high-resolution PlanetScope satellite image time series. The inference on PlanetScope time series, in particular Global Monthly basemaps, include basemaps for the months of April to October for the years 2018 to 2024 with 45 German wide inferences in total. The training dataset was build using wind turbine sites from Manske & Schmiedt (2023) from the UFZ, which semi-manually corrected the site information of the Marktstammdatenregister for the years 2021, 2022 and 2023. Hereby the training dataset was curated by evenly sampling wind power plants based on geographic location. Additionally negative samples were added to the dataset both picked randomly from all over Germany, excluding wind power plant sites by a certain distance, as well as from specific objects prone to be detected as false positives such as power towers, cell phone towers or similar based on Open Street Map.


The dataset was refined in multiple iterations by filtering bad initial labels which could not be re-detected by a trained model over multiple time steps, as well as by adding more samples of scenes where the model had difficulties.

The resulting monthly detections of onshore wind turbines over Germany were aggregated throughout time by merging all detections to a single detection time series if it would occur in a certain buffer throughout time. Hereby, we added the detected time stamp time series as an addition attribute to the resulting aggregate points. In order to filter detection noise, the dataset can individually be filtered for points which exceed a certain detection count.

In future works we will update this dataset to recent month, an enhanced post-processing to filter false detections, as well as links to IDs of the German Marktstammdatenregister per detection.
DOI: 10.3535/kl1-jxv-xg4
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ssv-nxd-pmb
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34816/ifao.archives.301429
title: GEBEL EL-ZEIT_nb_1987_01184

description: Référence : nb_1987_01184<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 2 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/42f-nlt-b74
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/z4g-fcl-0hm
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/009-rq2-5vh
title: Leucanthemum vulgare Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kpf-nft-0hq
title: Dracocephalum ibericum M.Bieb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34816/ifao.archives.301430
title: GEBEL EL-ZEIT_nb_1987_01187

description: Référence : nb_1987_01187<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 2 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/76y-prr-pxz
title: Amaranthus lividus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/84x-mxe-1c6
title: Myosotis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kb7-mpc-xt9
title: Cerinthe L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34816/ifao.archives.301431
title: GEBEL EL-ZEIT_nb_1987_01211

description: Référence : nb_1987_01211<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 2 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/fx1-ztp-10a
title: Buglossoides arvensis (L.) I. M. Johnst.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/af4-de3-sse
title: Stuckenia pectinata (L.) Börner

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ymn-1wg-jm0
title: Asarum europaeum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34816/ifao.archives.301432
title: GEBEL EL-ZEIT_nb_1987_01213

description: Référence : nb_1987_01213<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 2 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/ecs-ezk-5v3
title: Amaranthus hybridus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qsj-x2f-wbl
title: Heliotropium L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9gx-5er-c1y
title: Pulmonaria australis (Murr) W. Sauer

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/azd-0y4-ans
title: Acer pseudoplatanus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34816/ifao.archives.301433
title: GEBEL EL-ZEIT_nb_1987_01215

description: Référence : nb_1987_01215<br />Site : Gebel el-Zeit<br />Secteur : Mines de galène; Site 2 (mines de galène)<br />Type : photographie<br />
DOI: 10.3535/469-z5w-zl2
title: Limonium sitiacum Rech. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.ad5edg
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Ficus rubra",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 581 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040155-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a46my
title: Occurrence Download

description: A dataset containing 53736 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asclepias tuberosa"
 ]
}

 The dataset includes 53736 records from 305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040050-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/8py1-k354
title: ICARUS Chamber Experiment: Nizkorodov Lab_20211001_Naphthalene/Nitric oxide_Hydroxyl radical_No Seed_80RH

description: Goals: Prepare NAP SOA at 80 RH, with high NOx, and without NH3Summary: Prepare NAP SOA at 80 RH, with high NOx, and without NH3Organization: Nizkorodov Lab Lab Affiliation: University of California, Irvine Chamber: Nizkorodov ChamberExperiment Category: Aerosol formation Oxidant: Hydroxyl radical Reactants: Naphthalene, Nitric oxide Reaction Type: Photooxidation Relative Humidity: 79 Temperature: 21
DOI: 10.15468/dl.ruxeq3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tagetes erecta",
 "Country is Guyana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040156-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjp3vn
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hyphessobrycon eilyos)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040158-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umv39k
title: Occurrence Download

description: A dataset containing 7816 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galemys pyrenaicus"
 ]
}

 The dataset includes 7816 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040157-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.