cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.968976
title: Sediment characteristics (TOC, TN, δ13C, δ15N, Chl a, phaeopigments, water content, sediment description) of multicorer samples from six deep-sea stations in the Southern Ocean (PS71 SYSTCO 2007-2008)

description: We present sediment data from cores collected at bathyal and abyssal depths (1960–5337 m) along a 2400-km North–South transect in the Atlantic part of the Southern Ocean. During the RV Polarstern expedition PS71 (ANT XXIV-2 SYSTCO, 28 November 2007 until 04 February 2008) six deep-sea stations were sampled from the Polar Front in the north (49°S), over the southern Polar Front (52°S, this site was visited two times), the Central Weddell Sea (62°S), and the seamount Maud Rise (64°S) to the Lazarev Sea (70°S) in the south. Samples (cores) were collected at each station with a MUC10 multicorer. On board, sediment cores were sliced into depth layers (0-0.5cm, 0.5-1cm, in the following 1-cm steps down to a max. core depth of 25cm). Provided data are total organic carbon (TOC), total nitrogen (TN), stable isotope values of carbon and nitrogen (δ13C, δ15N), sediment pigments [chlorophyll a and phaeopigments [Phaeophorbid a (Phorbid a), Pyrophaeophorbid a (pPhorbid a), Phaeophythin a (Phytin a), Pyrophaeophythin a (pPhytin a); HPLC measurements)], water content and a sediment description. An isotope ratio mass spectrometer (Delta Plus, Thermo-Finnigan) coupled to an elemental analyzer (NC 2500, Carlo Erba; combustion temperature 1080 C) at the GeoBio-Center (University of Munich, Germany) was used to measure carbon and nitrogen stable isotope ratios and elemental contents (wt% N and C) on the same sample. For detailed descriptions of the methods see Veit-Köhler et al. (2011, 2013) below. Not for all cores the complete data set is available. Data were obtained for a study on Southern Ocean deep-sea meiofauna, their relation to surface productivity, reaction to a phytoplankton bloom and stable isotope composition (see "Related to" below).
DOI: 10.1594/pangaea.965929
title: X-ray fluorescence data of the varved sediment record (HZM19) from Holzmaar, Germany

description: The elemental composition of the composite sediment record from HZM19 was obtained using the ITRAX XRF Core Scanner at the GEOPOLAR lab (University of Bremen) using a Cr tube with the following settings: exposure time: 5 s, voltage: 30 kV, and current: 50 mA. The step size was set to 200 µm. Prior to measurements and due to scanning times &gt;7 h, core sections were covered with plastic foil (Chemplex Thin-Film). The dataset was cleaned following measurements, i.e. only data points remain that pass the following conditions: 1. counts per seconds &gt;39.000; 2. MSE &lt;15, and 3. validity equals 1. All values are provided in counts (cts). Here only the continuous XRF records of the composite profile is documented. Ages refer to Birlo et al. (2023) and the related dataset is Model D available via doi:10.1594/PANGAEA.949292.
DOI: 10.1594/pangaea.967140
title: Spectrophotometer data for calibration of HSI index of the varved sediment record (HZM19) from Holzmaar, Germany

description: To calibrate the hyperspectral imaging (HSI) index values from the sediments of Holzmaar (HZM19) to concentration, a spectrophotometrically measured pigment analysis (Butz et al., 2015; doi:10.1117/1.JRS.9.096031) was performed for 23 samples. These samples were selected to cover a wide range of pigment concentrations as documented by HSI scanning. Approximately 1 g of wet sediment was treated with 100 % acetone according to the method of Lami et al. (1994; doi:10.1007/BF00684032), and the extracts were measured with a Shimadzu UV-1800 spectrophotometer to obtain the mass concentration of Chl-a and Bphe-a in µg/g dry sediment using a mass extinction coefficient for Chl-a (Fiedor et al, 2002; doi:10.1562/0031-8655(2002)0760145POTBCS2.0.CO2) and for Bphe-a (Jeffrey and Humphrey, 1975; doi:10.1016/S0015-3796(17)30778-3).
DOI: 10.1594/pangaea.885046
title: Leaf-wax isotopic analyses of stratigraphic units from the Diepkloof Rock Shelter section
DOI: 10.15468/dl.xrcdbk
title: Occurrence Download

description: A dataset containing 36637 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sicalis luteola (Sparrman, 1789)"
 ]
}

 The dataset includes 36637 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035768-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcy5we
title: Occurrence Download

description: A dataset containing 781 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Graphiola phoenicis (Moug. ex Fr.) Poit."
 ]
}

 The dataset includes 781 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135545-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvh9px
title: Occurrence Download

description: A dataset containing 5299699 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 2010",
 "Month is May",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 5299699 records from 1882 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035781-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azadcp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Musseromys gulantang Heaney, Balete, Rickart, Veluz & Jansa, 2009"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051179-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15682635
title: TIPS2024: Partition sums for molecules and their isotopologues for HITRAN2024

description: Total Internal Partition Sums (TIPS), Q(T), were calculated for four new isotopologues of molecules on HITRAN2020 (16O14N18O, 14NH2D, H13COOH, 13CH3F), for the five most abundant isotopologues of N2O, for the two most abundant isotopologues of NO2, for the two most abundant isotopologues of NH3, the seven most abundant isotopologues of OCS, and the four most abundant isotopologues of CS2, and for six new molecules added to HITRAN2024: CH3, S2, COFCl (two isotopologues; 12C16OF35Cl and 12C16OF37Cl), HONO, ClNO2 (two isotopologues; 35ClNO2 and 37ClNO2), and H3+ (four isotopologues: H3+, H2D+, HD2+, and D3+).  The calculations for N2 (J. Phys. Chem. Ref. Data 52, 023101 (2023)) and NO (J. Phys. Chem. Ref. Data 53, 033103 (2024)) were also added to TIPS2024. In addition, all partition sums on TIPS2020 (JQSRT 271 (2021) 107713) calculated prior to 2020 were recalculated using the most recent CODATA constants ( J. Phys. Chem. Ref. Data 50, 033105 (2021)), while the differences are very small, TIPS2024 provides a consistent set of partition sums for all molecules/isotopologues on HITRAN2024.  In total TIPS2024 provides data for 196 isotopologues of 62 molecules.  The calculations range from T = 1 K to Tmax, where the maximum temperature is determined based on the available energy states for a particular isotopologue that ensure convergence of Q(T).
description: The file TIPS_2024_FORTRAN_distribution.zip is a compressed file of the FORTRAN codes needed to compile TIPS_2024_v1p0.FOR.  TIPS_2024.FOR is a stand-alone program to compute the Total Internal Partition Sums (TIPS) for all the molecules present on HITRAN2024, plus TIPS for C3H8.  TIPS2024_v1p0.for contains the subroutine BD_TIPS_2024 that users can insert into their codes to obtain Q(T) for their applications. Using Intel FORTRAN the compilation is ifort -w -132 TIPS_2024_v1p0.FOR -o TIPS_2024_v1p0.EXE

The file TIPS_2024_py_distribution.zip contains the file TIPS_2024_v1p0.py, which is the python language version of the TIPS_2024 code. and a folder "data", which contains thepython dictionaries needed to run the code.  Unzip the file to create a folder TIPS_2024_py_distribution.  In a command window go to that folder and type python3 TIPS_python.py to execute it.

The reference for the codes is Partition sums for molecules and their isotopologues for HITRAN2024 Robert R. Gamache, Bastien Vispoel, Jonathan Tennyson, Sergei N. Yurchenko, Oleg L. Polyansky, Iouli E. Gordon, Robert J. Hargreaves, Xinchuan Huang.  To be published in the Journal of Quantitative Spectroscopy and Radiative Transfer, 2025 in the HITRAN2024 Special Issue.
DOI: 10.5281/zenodo.15682636
title: TIPS2024: Partition sums for molecules and their isotopologues for HITRAN2024

description: Total Internal Partition Sums (TIPS), Q(T), were calculated for four new isotopologues of molecules on HITRAN2020 (16O14N18O, 14NH2D, H13COOH, 13CH3F), for the five most abundant isotopologues of N2O, for the two most abundant isotopologues of NO2, for the two most abundant isotopologues of NH3, the seven most abundant isotopologues of OCS, and the four most abundant isotopologues of CS2, and for six new molecules added to HITRAN2024: CH3, S2, COFCl (two isotopologues; 12C16OF35Cl and 12C16OF37Cl), HONO, ClNO2 (two isotopologues; 35ClNO2 and 37ClNO2), and H3+ (four isotopologues: H3+, H2D+, HD2+, and D3+).  The calculations for N2 (J. Phys. Chem. Ref. Data 52, 023101 (2023)) and NO (J. Phys. Chem. Ref. Data 53, 033103 (2024)) were also added to TIPS2024. In addition, all partition sums on TIPS2020 (JQSRT 271 (2021) 107713) calculated prior to 2020 were recalculated using the most recent CODATA constants ( J. Phys. Chem. Ref. Data 50, 033105 (2021)), while the differences are very small, TIPS2024 provides a consistent set of partition sums for all molecules/isotopologues on HITRAN2024.  In total TIPS2024 provides data for 196 isotopologues of 62 molecules.  The calculations range from T = 1 K to Tmax, where the maximum temperature is determined based on the available energy states for a particular isotopologue that ensure convergence of Q(T).
description: The file TIPS_2024_FORTRAN_distribution.zip is a compressed file of the FORTRAN codes needed to compile TIPS_2024_v1p0.FOR.  TIPS_2024.FOR is a stand-alone program to compute the Total Internal Partition Sums (TIPS) for all the molecules present on HITRAN2024, plus TIPS for C3H8.  TIPS2024_v1p0.for contains the subroutine BD_TIPS_2024 that users can insert into their codes to obtain Q(T) for their applications. Using Intel FORTRAN the compilation is ifort -w -132 TIPS_2024_v1p0.FOR -o TIPS_2024_v1p0.EXE

The file TIPS_2024_py_distribution.zip contains the file TIPS_2024_v1p0.py, which is the python language version of the TIPS_2024 code. and a folder "data", which contains thepython dictionaries needed to run the code.  Unzip the file to create a folder TIPS_2024_py_distribution.  In a command window go to that folder and type python3 TIPS_python.py to execute it.

The reference for the codes is Partition sums for molecules and their isotopologues for HITRAN2024 Robert R. Gamache, Bastien Vispoel, Jonathan Tennyson, Sergei N. Yurchenko, Oleg L. Polyansky, Iouli E. Gordon, Robert J. Hargreaves, Xinchuan Huang.  To be published in the Journal of Quantitative Spectroscopy and Radiative Transfer, 2025 in the HITRAN2024 Special Issue.
DOI: 10.5281/zenodo.15608179
title: High-resolution rapid-scanning Fourier-transform spectroscopy of ultracold atoms

description: Dataset for supporting the findings of the paper 'High-resolution rapid-scanning Fourier-transform spectroscopy of ultracold atoms' (https://doi.org/10.1364/OL.565541)
DOI: 10.5281/zenodo.15608180
title: High-resolution rapid-scanning Fourier-transform spectroscopy of ultracold atoms

description: Dataset for supporting the findings of the paper 'High-resolution rapid-scanning Fourier-transform spectroscopy of ultracold atoms' (https://doi.org/10.1364/OL.565541)
DOI: 10.15468/dl.6jq9nm
title: Occurrence Download

description: A dataset containing 377 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario MAIA, colección de Eucalyptus del INIA-CIFOR"
 ]
}

 The dataset includes 377 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051182-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8e2hqv
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Batomys uragon Balete, Rickart, Heaney & Jansa, 2015"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051183-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9w7b8
title: Occurrence Download

description: A dataset containing 294 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 Acrocephalus melanopogon (Temminck, 1823)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 294 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051186-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsg2w6
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lutra Brisson, 1762"
 ]
}

 The dataset includes 140 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051185-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f7yut
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus sensilis Baijnath",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051184-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67te6b
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is fd0038d0-3e7b-11d9-8439-b8a03c50a862",
 "TaxonKey is Isoperla holochlora Klapálek, 1923",
 "Year 1000-1941"
 ]
}

 The dataset includes 82 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051187-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2a4j4
title: Occurrence Download

description: A dataset containing 635377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrola media Sw., Sparganium erectum L., Typha latifolia L., Cornus canadensis L., Arctostaphylos uva-ursi (L.) Spreng.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 635377 records from 1115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051151-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15682836
title: Turning Waste into Opportunity: Comparative Study of Waste-Derived and Conventional Sorbents for Heavy Metal Removal from Water
DOI: 10.5281/zenodo.15682837
title: Turning Waste into Opportunity: Comparative Study of Waste-Derived and Conventional Sorbents for Heavy Metal Removal from Water
DOI: 10.17897/bb72-g812
title: MarineBasis Nuuk - Benthic vegetation - Ascophyllum nodosum - population structure and dynamics

description: Population structure and dynamics of Ascophyllum nodosum were analysed in late summer (August/September) 2012-2019 across ten permanent plots (0.25x0.25 cm) situated in the mid-tidal zone of Kobbefjord. Population biomass was non-destructively estimated each year by measuring the length from the holdfast to the tip of the longest shoot and the circumference 2-3 cm above the holdfast (comprising all basal shoots) for all marked individuals. The fresh weight of each individual was then detemined using a previously derived equation between individual biomass and the corresponding lenght and circumference specific to A. nodosum in Kobbefjord (see Olesen et al. xx). Population density was determined as the number of adult (marked) individuals, the number of unmarked juveniles divided into 2-10 cm long individuals and less than 2 cm individuals in each plot. Minimum estimate of biomass production was calculated by summing the biomass gain from all marked individuals showing an increase in biomass from one year to the next, and omitting losses from those experiencing a reduction in biomass between years. Net population growth rate was estimated ln(Nt/N0) where N0 and Nt are the number of marked individuals at year 0 and year t, respectively. Recruitment rate was estimated as ln(N0+Nnew)-ln(N0), where N0 is the number of marked individual at year 0 and Nnew is the count of new indviduals (&gt;10 cm) observed the following year. Mortality rate was estimated as ln(N0/Nsurv) where N0 is the number of marked individual at year 0 and Nsurv the number suvivining until the following year. Benthic vegetation:Benthic vegetation MarineBasis Nuuk:The MarineBasis programme collects physical, chemical and biological data from the Greenland coastal zone. Work is focused around three fjord systems, all influenced by glaciers connected to the Greenland Ice Sheet.
DOI: 10.17897/d6qz-hf43
title: MarineBasis Nuuk - Benthic vegetation - Ascophyllum nodosum - size, age frequency distribution

description: Relative frequency distribution of the length and minimum-age of Ascophyllum nodosum individuals analysed across ten permanent plots (0.25x0.25 cm) situated in the mid-tidal zone of Kobbefjord. Data from the 10 plots were combined comprising a total of 73-78 marked individual. Minimum-age was assesed as the number of bladders in the longest shoot of each individual. Benthic vegetation:Benthic vegetation MarineBasis Nuuk:The MarineBasis programme collects physical, chemical and biological data from the Greenland coastal zone. Work is focused around three fjord systems, all influenced by glaciers connected to the Greenland Ice Sheet.
DOI: 10.17897/kemy-jj24
title: MarineBasis Nuuk - Benthic vegetation - Ascophyllum nodosum segment biomass

description: Nuuk basis monitoring of macroalgae and fauna – population dynamics of knotted wrack (Ascophyllum nodosum). Ascophyllum nodosum segment biomass. The dataset consist of annual (2012-2021) sampling of 20 Ascophyllum nodosum tips (actively growing, light brown), randomly sampled in the population in each of the tidal zones (upper, mid, lower) for the purpose of measuring annual tip growth. The tips were cut below the 3rd bladder and then cut into seperate segments/tip-sections (Outer tip incl. 1st bladder = year 0, below 1st bladder incl. 2nd bladder = year 1, below 2nd bladder incl. 3rd bladder = year 2). Each segment was dried at 60 degrees Celcius and weighed. From 2015, additional sampling of tips in the mid tidal zone from populations in two other sites in Kobbefjord were also included. Benthic vegetation:Benthic vegetation MarineBasis Nuuk:The MarineBasis programme collects physical, chemical and biological data from the Greenland coastal zone. Work is focused around three fjord systems, all influenced by glaciers connected to the Greenland Ice Sheet.
DOI: 10.17897/4njk-zv13
title: MarineBasis Nuuk - Benthic vegetation - Ascophyllum nodosum segment length

description: Nuuk basis monitoring of macroalgae and fauna – population dynamics of knotted wrack (Ascophyllum nodosum). Ascophyllum nodosum segment length. The dataset consist of annual (2012-2021) sampling of 20 Ascophyllum nodosum tips (actively growing, light brown), randomly sampled in the population in each of the tidal zones (upper, mid, lower) for the purpose of measuring annual tip growth. The tips were cut below the 3rd bladder and then cut into seperate segments/tip-sections (Outer tip incl. 1st bladder = year 0, below 1st bladder incl. 2nd bladder = year 1, below 2nd bladder incl. 3rd bladder = year 2). Each segment was measured to the nearest mm. From 2015, additional sampling of tips in the mid tidal zone from populations in two other sites in Kobbefjord were also included. Benthic vegetation:Benthic vegetation MarineBasis Nuuk:The MarineBasis programme collects physical, chemical and biological data from the Greenland coastal zone. Work is focused around three fjord systems, all influenced by glaciers connected to the Greenland Ice Sheet.
DOI: 10.57745/s1tp5p
title: ExpB_MRI_1_images_MSE.zip

description: :unav
DOI: 10.57745/safi9w
title: ExpA_MRI_pericarp_T2_per_tomato_replicat1.tab

description: :unav
DOI: 10.17897/tdek-wq82
title: MarineBasis Nuuk - Benthic vegetation - Leaf Growth of Saccharina latissima (cm/yr)

description: Leaf Growth of Saccharina latissima (cm/yr) Benthic vegetation:Benthic vegetation MarineBasis Nuuk:The MarineBasis programme collects physical, chemical and biological data from the Greenland coastal zone. Work is focused around three fjord systems, all influenced by glaciers connected to the Greenland Ice Sheet.
DOI: 10.57745/q3kgkh
title: ExpB_MRI_2-5_cartographies_mask_for_T2_T2_star_porosity.zip

description: :unav
DOI: 10.57745/t01n8g
title: ExpB_MRI_4_cartographies_mask_for_profiles.zip

description: :unav
DOI: 10.17897/ewvj-kx92
title: MarineBasis Nuuk - Benthic vegetation - Leaf Growth of Saccharina latissima (g C/yr)

description: Leaf Growth of Saccharina latissima (g C/yr) Benthic vegetation:Benthic vegetation MarineBasis Nuuk:The MarineBasis programme collects physical, chemical and biological data from the Greenland coastal zone. Work is focused around three fjord systems, all influenced by glaciers connected to the Greenland Ice Sheet.
DOI: 10.57745/gzis14
title: ExpB_MRI_porosity_profile_per_tomato.tab

description: :unav
DOI: 10.57745/isn2lv
title: ExpB_MRI_2-3_cartographies_T2_star.zip

description: :unav
DOI: 10.15468/dl.6atpbf
title: Occurrence Download

description: A dataset containing 1511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dociostaurus maroccanus (Thunberg, 1815)",
 "Year 1900-2025"
 ]
}

 The dataset includes 1511 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051191-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.