cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14807332
title: Stellar Population Models Based on the Milky Way Interstellar Medium-Corrected MaStar Stellar Library

description: This file contains simple stellar population (SSP) model spectra constructed from a version of the SDSS-IV MaNGA Stellar Library (MaStar; Yan et al. 2019, Abdurro'uf et al. 2022) that has been corrected for the effects of absorption in the CaII 3934, 3969 and NaI D 5891, 5897 transitions arising in the Milky Way's interstellar medium (ISM).  These corrections are described in full in Rubin et al. (2025), and our approach to constructing these SSP models is described in Maraston et al. (2020) and Rubin et al. (2025).  In brief, our models are calculated with the evolutionary population synthesis code of Maraston (2005), which is based on the fuel consumption theorem for the evaluation of the energetics of post-Main Sequence phases.  We use the calibrated median values of the stellar parameters calculated for the MaStar sample to generate representative stellar spectra as functions of effective temperature, surface gravity, and chemical composition.  These representative spectra are then used as input for the stellar population models.  The stellar parameter estimates are described in R. Yan et al. (2025, in preparation) and at https://www.sdss4.org/dr17/mastar/mastar-stellar-parameters/.  

We calculate SSPs using stars in metallicity bins centered at [Z/H] = -1.35, -0.33, 0.0, and +0.35 with an approximate bin width of 0.1 dex assuming a Salpeter IMF.  The SSP ages span 3 Myr to 15 Gyr and are calculated at 51 gridpoints.  For comparison, we also calculate the equivalent SSPs using the uncorrected MaStar spectra.  The datamodel is described below.

HDU1: 51 x 4 x 1 x 3 matrix describing the parameters of each SSP spectrum.  Each gridpoint (i,j,k) contains a 3-element array listing the age (in Gyr), metallicity, and IMF slope (in linear mass units)

HDU2: 2 x 4563 array containing the vacuum wavelength and spectral resolution (R) grids for models constructed from the uncorrected (original) stellar library.  The wavelength sampling is logarithmic and the wavelengths have units of Angstroms.  R = wave / (FWHM dwave)

HDU3: 51 x 4 x 1 x 4563 matrix containing the SSPs constructed from the uncorrected (original) stellar library in units of erg/s/Ang/Msun  

HDU4: 2 x 4542 array containing the vacuum wavelength and spectral resolution (R) grids for models constructed from the corrected (cleaned) stellar library.  The wavelength sampling is logarithmic and the wavelengths have units of Angstroms.  R = wave / (FWHM dwave)

HDU5: 51 x 4 x 1 x 4542 matrix containing the SSPs constructed from the corrected (cleaned) stellar library in units of erg/s/Ang/Msun  
description: Preferred Citation

If you use these model spectra in your research, we ask that you please cite our article, "Sloan Digital Sky Survey IV MaStar: Quantification and Abatement of Interstellar Absorption in the Largest Empirical Stellar Spectral Library," Rubin et al. (2025), ApJ, 981 31, doi:10.3847/1538-4357/ad8eb6.  Please also cite this Zenodo deposit.
DOI: 10.5281/zenodo.14692788
title: Peregrine Falcon (Falco peregrinus) eggshell thickness monitoring data Sweden 1864-2023

description: The Peregrine Falcon (Falco peregrinus) population in Sweden has been monitored since 1972. At visits to Peregrine Falcon nests, eggshell fragments from hatched eggs as well as unhatched addled (dead) eggs have been collected with the aim of monitoring the thickness of the eggshells as well as analysing the whole eggs for contaminants. The shell thickness serves as a proxy for the falcons’ exposure to certain persistent organic pollutants, in particular DDT and its breakdown products. The field samples have been compared to reference eggs from 1864-1965 in museum collections.

This dataset contains the raw data on eggshell thickness measurements (5084 individual measurements) analysed by Falk et al. (2025); the dataset includes measurements from:

1.    Whole eggs/clutches in museum collection in Sweden, collected 1864-1965

2.    Whole addled/dead eggs collected in nests 1972-2023

3.    Eggshell fragments collected in nests 1972-2023 from crushed or hatched eggs

The dataset contains a mix of measurements of shell thickness including or excluding the eggshell membranes. Membrane thickness varies between different studies; in our study the average membrane thickness determined in two different ways was 0.057 mm. This ’membrane constant’ can be added or subtracted to the measurements for comparisons with other data sets.

Further details regarding the sampling areas, measurement methods and the results of trends analyses of changes in shell thickness are provided in Falk et al. (2025).

The file named Peregrine_eggshell-thickness_data_Sweden_1864-2023.csv contains the raw measurements data, and the file Peregrine_eggshell-thickness_data_Sweden_1864-2023ReadMe.txt specifies the database content.
DOI: 10.5281/zenodo.14692789
title: Peregrine Falcon (Falco peregrinus) eggshell thickness monitoring data Sweden 1864-2023

description: The Peregrine Falcon (Falco peregrinus) population in Sweden has been monitored since 1972. At visits to Peregrine Falcon nests, eggshell fragments from hatched eggs as well as unhatched addled (dead) eggs have been collected with the aim of monitoring the thickness of the eggshells as well as analysing the whole eggs for contaminants. The shell thickness serves as a proxy for the falcons’ exposure to certain persistent organic pollutants, in particular DDT and its breakdown products. The field samples have been compared to reference eggs from 1864-1965 in museum collections.

This dataset contains the raw data on eggshell thickness measurements (5084 individual measurements) analysed by Falk et al. (2025); the dataset includes measurements from:

1.    Whole eggs/clutches in museum collection in Sweden, collected 1864-1965

2.    Whole addled/dead eggs collected in nests 1972-2023

3.    Eggshell fragments collected in nests 1972-2023 from crushed or hatched eggs

The dataset contains a mix of measurements of shell thickness including or excluding the eggshell membranes. Membrane thickness varies between different studies; in our study the average membrane thickness determined in two different ways was 0.057 mm. This ’membrane constant’ can be added or subtracted to the measurements for comparisons with other data sets.

Further details regarding the sampling areas, measurement methods and the results of trends analyses of changes in shell thickness are provided in Falk et al. (2025).

The file named Peregrine_eggshell-thickness_data_Sweden_1864-2023.csv contains the raw measurements data, and the file Peregrine_eggshell-thickness_data_Sweden_1864-2023ReadMe.txt specifies the database content.
DOI: 10.15468/dl.35u23j
title: Occurrence Download

description: A dataset containing 2461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-173.54 64.19,-135.55 64.19,-135.55 71.49,-173.54 71.49,-173.54 64.19))",
 "HasCoordinate is true",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ochrophyta"
 ]
}

 The dataset includes 2461 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017595-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14014915
title: SDSS-IV MaStar: An Empirical Stellar Spectral Library Corrected for the Effects of Milky Way Interstellar Absorption

description: This file contains a version of the SDSS-IV MaNGA Stellar Library (MaStar) which has been corrected for the effects of absorption in the CaII 3934, 3969 and NaI D 5891, 5897 transitions arising in the Milky Way's interstellar medium (ISM).  These corrections are described in full in Rubin et al. (2025).  In brief, we first develop a model of the absorption strengths of these transitions as a function of stellar distance, Galactic latitude, and dust reddening based upon high-spectral resolution studies.  We use this model to identify 6342 MaStar stars with negligible ISM absorption.  For 12110 of the remaining stars, we replace their NaI D profile (and their CaII profile for effective temperatures > 9000 K) with a coadded spectrum of low-ISM stars with similar effective temperature, surface gravity, and metallicity.  For 738 additional stars with effective temperatures > 9000 K, we replace these spectral regions with a matching ATLAS9-based BOSZ model.  This procedure yields corrected spectroscopy for 80% of the 24162-star catalog.

The spectra in this file are identical to those which have been unified to the 99.5th-percentile spectral resolution curve for MaStar and made available at https://www.sdss4.org/dr17/mastar/mastar-spectra (with the exception of the corrected spectral regions described above).  The datamodel is described below.    

MANGAID - The XX-XXXXXX format MaNGA IDWAVE - Vacuum wavelength grid. The wavelength sampling is logarithmic (Angstroms)FLUX - Observed flux, corrected for Milky Way ISM contamination.  Extinction-corrected to above the Earth's atmosphere but not corrected for Galactic extinction (10^-17 erg/s/cm^2/Ang)IVAR - Inverse variance of the flux (10^34 s^2cm^4Ang^2/erg^2)PREDISP - Instrumental broadening sigma.  Does not include the effect of pixel integration (Angstroms)SRES - Spectral resolution = WAVE/(sqrt(8*ln(2)) * PREDISP)REPLACEMENT_CAII_FLG - Flag indicating treatment of the CaII spectral region.  Described in Table 3REPLACEMENT_NAID_FLG - Flag indicating treatment of the NaID spectral region.  Described in Table 3NSIG_THRESH - Maximum 3D distance in stellar parameter space from stars included in empirical replacement stack, if one was constructed.  Described in Sec. 3.1 and 3.2 (Psi_thresh)ewCaIIK_pred - Interstellar CaII K EW predicted by model described in Sec. 2.2 (Angstroms)ewNaI5891_pred - Interstellar NaI D 5891 EW predicted by model described in Sec. 2.2 (Angstroms)ewNaI5897_pred - Interstellar NaI D 5897 EW predicted by model described in Sec. 2.2 (Angstroms)
description: Preferred Citation

If you use these library spectra in your research, we ask that you please cite our article, "Sloan Digital Sky Survey IV MaStar: Quantification and Abatement of Interstellar Absorption in the Largest Empirical Stellar Spectral Library," Rubin et al. (2025), ApJ, 981 31, doi:10.3847/1538-4357/ad8eb6.  Please also cite this Zenodo deposit.
DOI: 10.5281/zenodo.14014914
title: SDSS-IV MaStar: An Empirical Stellar Spectral Library Corrected for the Effects of Milky Way Interstellar Absorption

description: This file contains a version of the SDSS-IV MaNGA Stellar Library (MaStar) which has been corrected for the effects of absorption in the CaII 3934, 3969 and NaI D 5891, 5897 transitions arising in the Milky Way's interstellar medium (ISM).  These corrections are described in full in Rubin et al. (2025).  In brief, we first develop a model of the absorption strengths of these transitions as a function of stellar distance, Galactic latitude, and dust reddening based upon high-spectral resolution studies.  We use this model to identify 6342 MaStar stars with negligible ISM absorption.  For 12110 of the remaining stars, we replace their NaI D profile (and their CaII profile for effective temperatures > 9000 K) with a coadded spectrum of low-ISM stars with similar effective temperature, surface gravity, and metallicity.  For 738 additional stars with effective temperatures > 9000 K, we replace these spectral regions with a matching ATLAS9-based BOSZ model.  This procedure yields corrected spectroscopy for 80% of the 24162-star catalog.

The spectra in this file are identical to those which have been unified to the 99.5th-percentile spectral resolution curve for MaStar and made available at https://www.sdss4.org/dr17/mastar/mastar-spectra (with the exception of the corrected spectral regions described above).  The datamodel is described below.    

MANGAID - The XX-XXXXXX format MaNGA IDWAVE - Vacuum wavelength grid. The wavelength sampling is logarithmic (Angstroms)FLUX - Observed flux, corrected for Milky Way ISM contamination.  Extinction-corrected to above the Earth's atmosphere but not corrected for Galactic extinction (10^-17 erg/s/cm^2/Ang)IVAR - Inverse variance of the flux (10^34 s^2cm^4Ang^2/erg^2)PREDISP - Instrumental broadening sigma.  Does not include the effect of pixel integration (Angstroms)SRES - Spectral resolution = WAVE/(sqrt(8*ln(2)) * PREDISP)REPLACEMENT_CAII_FLG - Flag indicating treatment of the CaII spectral region.  Described in Table 3REPLACEMENT_NAID_FLG - Flag indicating treatment of the NaID spectral region.  Described in Table 3NSIG_THRESH - Maximum 3D distance in stellar parameter space from stars included in empirical replacement stack, if one was constructed.  Described in Sec. 3.1 and 3.2 (Psi_thresh)ewCaIIK_pred - Interstellar CaII K EW predicted by model described in Sec. 2.2 (Angstroms)ewNaI5891_pred - Interstellar NaI D 5891 EW predicted by model described in Sec. 2.2 (Angstroms)ewNaI5897_pred - Interstellar NaI D 5897 EW predicted by model described in Sec. 2.2 (Angstroms)
description: Preferred Citation

If you use these library spectra in your research, we ask that you please cite our article, "Sloan Digital Sky Survey IV MaStar: Quantification and Abatement of Interstellar Absorption in the Largest Empirical Stellar Spectral Library," Rubin et al. (2025), ApJ, 981 31, doi:10.3847/1538-4357/ad8eb6.  Please also cite this Zenodo deposit.
DOI: 10.5281/zenodo.15052243
title: Photographic dataset of ducks bones with code for cataloging skeletal elements and species.

description: This record contains:



A dataset consists of 1833 photographs of avifauna remains, mainly ducks. The photos are organised into two zip folders. In one folder, the photographs were divided to classify the skeletal element with a Convolutional Neural Network. In the other folder, the dataset was organised for bird species classification.

Codes for the classification of photographs of skeletal findings of avifauna. A Convolutional Neural Network is implemented in the first code to classify the skeletal element. The second code implements a Convolutional Neural Network with Random Forest for bird species classification.
DOI: 10.25673/1914118-6
title: Koppe Nachlass Metadaten

description: Das Akademienvorhaben Corpus Coranicum (https://www.corpuscoranicum.de, 2007-2024) macht die frühen Koranhandschriften in Bild und Text zugänglich. Parallel zur schriftlichen Textüberlieferung wird die islamische Lesartenliteratur systematisch dargestellt. Damit liefert Corpus Coranicum erstmals eine historisch gesicherte Textbasis des Korans. Dabei fand auch der Nachlass von Reiner Koppe (http://d-nb.info/gnd/1050278194) einschließlich einer unveröffentlichten Dissertation zum Thema "Der sprachgeschichtliche Wert der nichtkanonischen Koranlesarten nach dem Muḥtasab des Ibn Ǧinnī (http://d-nb.info/gnd/118925865)" Beachtung. Der Nachlass wurde dem Vorhaben übergeben und dort digitalisiert. Um den Nachlass von Reiner Koppe dauerhaft zugänglich zu machen, mussten die Daten nach Zugangsfähigkeit geschieden werden: Open Access und Restricted Access. Der vorliegende Datensatz (Nachlass_Koppe_Diss_Meta) beschreibt detailliert die Daten des gesamten Nachlasses, welche in den Datensätzen Nachlass_Koppe_Diss_oa und Nachlass_Koppe_Diss_ra. im tif-Format zugänglich gemacht werden.
description: The academy project Corpus Coranicum (https://www.corpuscoranicum.de, 2007-2024) makes the early Koran manuscripts accessible in image and text. Parallel to the written textual tradition, the Islamic literature of readings is systematically presented. Corpus Coranicum thus provides the first historically reliable textual basis for the Qur'an. Amongst the material used in the project was the literary remains of Reiner Koppe (http://d-nb.info/gnd/1050278194 ), including an unpublished dissertation on the topic of ‘The linguistic-historical value of non-canonical Qur'anic readings according to the Muḥtasab of Ibn Ǧinnī (http://d-nb.info/gnd/118925865)’. The work was handed over to the project for digitisation. In order to make Reiner Koppe's literary remains permanently accessible, the data had to be separated according to accessibility: Open Access and Restricted Access. The present dataset (Nachlass_Koppe_Diss_Meta) describes in detail the data of the entire work, which is made accessible in the datasets Nachlass_Koppe_Diss_oa and Nachlass_Koppe_Diss_ra. in tif format.
DOI: 10.25673/1914118-7
title: Koppe Nachlass OA

description: Das Akademienvorhaben Corpus Coranicum (https://www.corpuscoranicum.de, 2007-2024) macht die frühen Koranhandschriften in Bild und Text zugänglich. Parallel zur schriftlichen Textüberlieferung wird die islamische Lesartenliteratur systematisch dargestellt. Damit liefert Corpus Coranicum erstmals eine historisch gesicherte Textbasis des Korans. Dabei fand auch der Nachlass von Reiner Koppe (http://d-nb.info/gnd/1050278194) einschließlich einer unveröffentlichten Dissertation zum Thema "Der sprachgeschichtliche Wert der nichtkanonischen Koranlesarten nach dem Muḥtasab des Ibn Ǧinnī (http://d-nb.info/gnd/118925865)" Beachtung. Der Nachlass wurde dem Vorhaben übergeben und dort digitalisiert. Um den Nachlass von Reiner Koppe dauerhaft zugänglich zu machen, mussten die Daten nach Zugangsfähigkeit geschieden werden: Open Access und Restricted Access. Der vorliegende Datensatz (Nachlass_Koppe_Diss_OA) beinhaltet alle Scans aus dem Nachlass Koppe, welche ohne Beschränkungen zugänglich gemacht werden können. Die Daten werden im tif-Format zugänglich gemacht. Die Daten des gesamten Nachlass werden im Datensatz "Nachlass_Koppe_Diss_Meta" (DOI: 10.25673/1914118-6) detailliert beschrieben.
description: The academy project Corpus Coranicum (https://www.corpuscoranicum.de, 2007-2024) makes the early Koran manuscripts accessible in image and text. Parallel to the written textual tradition, the Islamic literature of readings is systematically presented. Corpus Coranicum thus provides the first historically reliable textual basis for the Qur'an. Amongst the material used in the project was the literary remains of Reiner Koppe (http://d-nb.info/gnd/1050278194), including an unpublished dissertation on the topic of ‘The linguistic-historical value of non-canonical Qur'anic readings according to the Muḥtasab of Ibn Ǧinnī (http://d-nb.info/gnd/118925865)’. The work was handed over to the project for digitisation. In order to make Reiner Koppe's literary remains permanently accessible, the data had to be separated according to accessibility: Open Access and Restricted Access. The present data set (Nachlass_Koppe_Diss_OA) contains all scans from the Koppe work that can be made accessible without restrictions. The data is made available in tif format. The data of the entire work is described in detail in the dataset ‘Nachlass_Koppe_Diss_Meta’ (DOI: 10.25673/1914118-6)
DOI: 10.5519/qd.eyhp35kc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (827870 records)
DOI: 10.15468/dl.ksgzjf
title: Occurrence Download

description: A dataset containing 2534 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mozambique Endemic and Near-Endemic Red Listed Plant Species"
 ]
}

 The dataset includes 2534 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017597-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub2tnz
title: Occurrence Download

description: A dataset containing 36097 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artibeus jamaicensis Leach, 1821"
 ]
}

 The dataset includes 36097 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017598-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdpjc5
title: Occurrence Download

description: A dataset containing 39274679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Image",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 39274679 records from 580 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017594-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9stfee
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melaleuca alternifolia",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060972-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4cwkc
title: Occurrence Download

description: A dataset containing 740 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deutzia taiwanensis"
 ]
}

 The dataset includes 740 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060976-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nebxq6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((13.923849 41.017702,13.923645 41.017774,13.923563 41.01787,13.923324 41.018011,13.922822 41.018346,13.922239 41.018599,13.921615 41.019309,13.921009 41.02026,13.920975 41.020305,13.921038 41.020644,13.921384 41.020743,13.921598 41.020592,13.922194 41.020509,13.922494 41.020497,13.922139 41.020284,13.921968 41.020006,13.92202 41.019691,13.922455 41.019473,13.922922 41.01968,13.923899 41.02018,13.924152 41.020539,13.924392 41.020729,13.924984 41.021102,13.925171 41.021094,13.925478 41.021679,13.926254 41.021988,13.927676 41.022896,13.928844 41.023928,13.929704 41.02486,13.930496 41.025396,13.931678 41.026114,13.932014 41.026584,13.932676 41.027064,13.933018 41.027424,13.9337 41.027993,13.934384 41.028591,13.934791 41.029,13.935469 41.029513,13.936239 41.030249,13.937242 41.031089,13.938177 41.032017,13.938984 41.032752,13.939633 41.033379,13.940638 41.032225,13.940561 41.03069,13.940204 41.030449,13.939613 41.029591,13.93855 41.027956,13.938167 41.026306,13.937996 41.025587,13.94133 41.025386,13.941784 41.02041,13.941919 41.020204,13.94003 41.019089,13.94045 41.018672,13.939972 41.01781,13.939666 41.017633,13.942122 41.015381,13.941851 41.014766,13.937679 41.011298,13.937105 41.011665,13.936562 41.011945,13.936006 41.012494,13.935347 41.012795,13.934335 41.013351,13.933156 41.013686,13.93257 41.014184,13.932416 41.014251,13.932095 41.014486,13.932046 41.014576,13.931771 41.014771,13.930858 41.015208,13.93079 41.015241,13.929597 41.01589,13.928613 41.016303,13.928334 41.01642,13.928167 41.016455,13.928003 41.01656,13.927482 41.016779,13.927213 41.016854,13.926308 41.016917,13.926135 41.016865,13.925539 41.016947,13.924927 41.017315,13.924369 41.017396,13.923849 41.017702)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026362-230530130749713/datasets/export for details.