cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/3l4-j98-796
title: Cetomya butoni (Prashad, 1932)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dt2-dc9-wbv
title: Stagnicola palustris (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h88-ws7-6r9
title: Excellichlamys spectabilis (Reeve, 1853)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nl8-vyy-arr
title: Chamlongia harinasutai Brandt, 1968

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/59w-5j8-v8r
title: Perpolita hammonis (Strøm, 1765)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v4b-zbv-nvf
title: Aegopinella nitidula (Draparnaud, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7cf-wfv-cq4
title: Mirapecten moluccensis Dijkstra, 1988

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qbg-t94-pbc
title: Xeroplexa intersecta (Poiret, 1801)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1xa-9f5-lz5
title: Euconulus fulvus (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/spg-6z6-eje
title: Macomona liliana (Iredale, 1915)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3zr-2b0-180
title: Trochulus hispidus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ke6-y44-s9q
title: Trochulus hispidus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qwx-fvd-gvr
title: Calliostoma tampaense (Conrad, 1846)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/737-ddf-20l
title: Neotiara pallida (Nowell-Usticke, 1959)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yes-qvr-t6e
title: Ampullaceana balthica (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.ed6gg2
title: Occurrence Download

description: A dataset containing 572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Drymotoxeres pucheranii)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 572 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001025-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/18g-crj-6g4
title: Turritella attenuata Reeve, 1849

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dhq-l2l-3mp
title: Galba truncatula (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.3p9j96
title: Occurrence Download

description: A dataset containing 36609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diglossa plumbea)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 36609 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001021-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/ef3696a753150d0a420fd9009f73b1e9
title: Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE): Foliar Chemistry 2008-2022 in Bartlett, Hubbard Brook, and Jeffers Brook

description: We are conducting nutrient manipulations in three study sites in the White Mountain National Forest in New Hampshire: Bartlett Experimental Forest, Hubbard Brook Experimental Forest, and Jeffers Brook.
 We monitored foliar chemistry in 13 of our stands (including HBCa and excluding C3) pre-treatment (2008-2010) and post-treatment (2014-2016 and 2021-22). In 2021-22, we also measured specific leaf area, leaf dry matter content, carbon isotope composition, and stomatal density. We found that foliar N concentrations were higher with N addition and foliar P concentrations were higher with P addition. More interestingly, P addition reduced foliar N concentrations and N addition reduced foliar P concentrations. Some interactive effects were observed (i.e. NxP, Species x N, Species x P, Species x N x P).
 This dataset contains pre- and post- treatment foliar chemistry and trait data, and data from the analysis of quality control standard samples.
 Changes to pre-treatment data from version 1 include switching white birch trees #8272 and #8252 in stand JBM plots 2 and 3 (8272 is now in the nitrogen plot and 8252 is now in the control plot), correcting the species of tree #1628 in stand HBCa plot 1 (changed from red maple to sugar maple) and tree #8457 in stand HBO plot 3 (changed from sugar maple to red maple), and updating nutrient concentrations for C8 plot 3 sugar maple trees #28 and #30 to include averages of subsamples re-run in 2022. Tree tags were also updated to the tag ID present during the 2023 tree inventory.
 Additional detail on the MELNHE project, including a datatable of site descriptions and a pdf file with the project description and diagram of plot configuration can be found in this data package: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=344
 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.15468/dl.zrn3zb
title: Occurrence Download

description: A dataset containing 1287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Leopardus tigrinus (Schreber, 1775)"
 ]
}

 The dataset includes 1287 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005464-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15305557
title: Simulated synthetic spectra for HNC and HCN lines

description: Data used in the paper "Unmasking the physical information inherent to interstellar spectral line profiles with Machine Learning I. Application of LTE to HCN and HNC transitions", published by A&A Magazine.

The files contain a set of simulations performed under typical physical conditions found in dense molecular clouds and star-forming regions. Each file includes simulations for five spectral transitions of HCN and five of HNC, corresponding to rotational transitions J=1–0 (~90 GHz), J=2–1 (~180 GHz), J=3–2 (~270 GHz), J=4–3 (~360 GHz), and J=5–4 (~450 GHz). The models explore a parameter space that includes temperatures ranging from 5 K to 150 K in steps of 5 K, HNC/HCN abundance ratios from 0.1 to 1.0 in steps of 0.1, source sizes from 1 to 6 arcseconds in 1 arcsecond intervals, and line widths (∆Vsys) from 1 to 19 km s⁻¹ in 1 km s⁻¹ increments. All simulations were performed considering an LTE model.

 

 
description: Unmasking the physical information inherent to interstellar spectral line profiles with Machine Learning. I. Application of LTE to HCN and HNC transitions

Physical and chemical conditions (kinetic temperature, volume density, molecular composition) of interstellar clouds are inherent in their mm-submm line spectra, making spectral line profiles powerful diagnostics of source conditions. We introduce a novel bottom-up approach employing Machine Learning (ML) algorithms to directly infer physical conditions from line profiles without using radiative transfer equations. We simulated HCN and HNC emission under representative dense molecular cloud and star-forming region conditions across five rotational transitions (J=1-0 to J=5-4) within 30-500 GHz. The generated data cloud was parameterized using line intensities and widths to infer the physical conditions of the analyzed regions. Three ML algorithms were trained, tested, and compared to unravel the excitation conditions of HCN and HNC and their abundance ratio. ML results obtained with two spectral lines, one for each isomer, were compared with a Local Thermodynamic Equilibrium (LTE) analysis for the cold source R CrA IRS 7B, yielding excitation temperatures and relative abundances in agreement with LTE. The optimized pipeline (training, testing, and prediction) can predict interstellar cloud properties from line profile inputs at lower computational cost than traditional methods. This work represents the first mapping of spectral line profiles to physical conditions by charting isomer abundance ratios and excitation temperatures. Our bottom-up approach, based on simulated and semiempirical spectra, offers a new tool to interpret line observations and estimate interstellar conditions using ML methods.
DOI: 10.5281/zenodo.15305558
title: Simulated synthetic spectra for HNC and HCN lines

description: Data used in the paper "Unmasking the physical information inherent to interstellar spectral line profiles with Machine Learning I. Application of LTE to HCN and HNC transitions", published by A&A Magazine.

 

 
description: Unmasking the physical information inherent to interstellar spectral line profiles with Machine Learning. I. Application of LTE to HCN and HNC transitions

Physical and chemical conditions (kinetic temperature, volume density, molecular composition) of interstellar clouds are inherent in their mm-submm line spectra, making spectral line profiles powerful diagnostics of source conditions. We introduce a novel bottom-up approach employing Machine Learning (ML) algorithms to directly infer physical conditions from line profiles without using radiative transfer equations. We simulated HCN and HNC emission under representative dense molecular cloud and star-forming region conditions across five rotational transitions (J=1-0 to J=5-4) within 30-500 GHz. The generated data cloud was parameterized using line intensities and widths to infer the physical conditions of the analyzed regions. Three ML algorithms were trained, tested, and compared to unravel the excitation conditions of HCN and HNC and their abundance ratio. ML results obtained with two spectral lines, one for each isomer, were compared with a Local Thermodynamic Equilibrium (LTE) analysis for the cold source R CrA IRS 7B, yielding excitation temperatures and relative abundances in agreement with LTE. The optimized pipeline (training, testing, and prediction) can predict interstellar cloud properties from line profile inputs at lower computational cost than traditional methods. This work represents the first mapping of spectral line profiles to physical conditions by charting isomer abundance ratios and excitation temperatures. Our bottom-up approach, based on simulated and semiempirical spectra, offers a new tool to interpret line observations and estimate interstellar conditions using ML methods.
DOI: 10.5281/zenodo.15328122
title: Simulated synthetic spectra for HNC and HCN lines

description: Data used in the paper "Unmasking the physical information inherent to interstellar spectral line profiles with Machine Learning I. Application of LTE to HCN and HNC transitions", published by A&A Magazine.

The files contain a set of simulations performed under typical physical conditions found in dense molecular clouds and star-forming regions. Each file includes simulations for five spectral transitions of HCN and five of HNC, corresponding to rotational transitions J=1–0 (~90 GHz), J=2–1 (~180 GHz), J=3–2 (~270 GHz), J=4–3 (~360 GHz), and J=5–4 (~450 GHz). The models explore a parameter space that includes temperatures ranging from 5 K to 150 K in steps of 5 K, HNC/HCN abundance ratios from 0.1 to 1.0 in steps of 0.1, source sizes from 1 to 6 arcseconds in 1 arcsecond intervals, and line widths (∆Vsys) from 1 to 19 km s⁻¹ in 1 km s⁻¹ increments. All simulations were performed considering an LTE model.

 

 
description: Unmasking the physical information inherent to interstellar spectral line profiles with Machine Learning. I. Application of LTE to HCN and HNC transitions

Physical and chemical conditions (kinetic temperature, volume density, molecular composition) of interstellar clouds are inherent in their mm-submm line spectra, making spectral line profiles powerful diagnostics of source conditions. We introduce a novel bottom-up approach employing Machine Learning (ML) algorithms to directly infer physical conditions from line profiles without using radiative transfer equations. We simulated HCN and HNC emission under representative dense molecular cloud and star-forming region conditions across five rotational transitions (J=1-0 to J=5-4) within 30-500 GHz. The generated data cloud was parameterized using line intensities and widths to infer the physical conditions of the analyzed regions. Three ML algorithms were trained, tested, and compared to unravel the excitation conditions of HCN and HNC and their abundance ratio. ML results obtained with two spectral lines, one for each isomer, were compared with a Local Thermodynamic Equilibrium (LTE) analysis for the cold source R CrA IRS 7B, yielding excitation temperatures and relative abundances in agreement with LTE. The optimized pipeline (training, testing, and prediction) can predict interstellar cloud properties from line profile inputs at lower computational cost than traditional methods. This work represents the first mapping of spectral line profiles to physical conditions by charting isomer abundance ratios and excitation temperatures. Our bottom-up approach, based on simulated and semiempirical spectra, offers a new tool to interpret line observations and estimate interstellar conditions using ML methods.
DOI: 10.60545/qitajl
title: Colección de Díptera del Museo de Artrópodos del Laboratorio de Entomología Agrícola Fitosanitario

description: La presente colección, perteneciente al Museo de Artrópodos del Laboratorio de Entomología Agrícola Fitosanitario, está conformada por ejemplares del orden Díptera, que incluye a moscas, mosquitos, tábanos y otros grupos afines. Estos insectos se distinguen por poseer un solo par de alas funcionales (el par anterior), mientras que el segundo par se encuentra modificado en estructuras denominadas halterios, que actúan como órganos estabilizadores durante el vuelo.
DOI: 10.3535/tcf-lnr-6tr
title: Elaphe

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/22p-07m-h9n
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jmq-064-7rg
title: Chordata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7ag-pfx-8hj
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jvg-qfv-mp4
title: Chordata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dy4-7pq-w2t
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zlb-gaz-tbk
title: Zygodontomys J. A. Allen, 1897

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dqs-16t-t7h
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6a9-krd-g61
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7dn-k7v-ksx
title: Testudines

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bpv-yew-d9m
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wzz-ksc-ftc
title: †Ophiodoris ishidai (Kutscher & Jagt, 2000)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9xf-y9y-gnd
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/18h-pjz-g1v
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a3p-jmp-8vc
title: Elaphe

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/arw-qve-wff
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lab-6g3-eh7
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3b6-khs-nvm
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gzk-161-4fn
title: Elasmobranchii

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p8v-34t-rr3
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/140-rrp-sdb
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rpq-ykd-r42
title: †Palorbitolina lenticularis (Blumenbach, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/68j-zsq-06y
title: Myodes Pallas, 1811

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xj6-p6l-ywp
title: Thomasomys Coues, 1884

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z0s-3tj-m06
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2aw-4ng-1q3
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qw6-wv0-44d
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tkq-k8g-g0z
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vq6-6kg-3g7
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/98h-psq-ppt
title: Lacroixilepis Keith, 2007

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ag6-5tp-kvz
title: Thomasomys Coues, 1884

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q3z-y4h-tle
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a7n-j7y-k7v
title: Pseudopus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yp7-3rw-sb2
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6pn-bwv-90b
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c6j-l0p-szk
title: Lacertidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1r6-2dc-l0a
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rmp-lrn-rzs
title: †Prolagus Pomel, 1853

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a16-7rm-nl9
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wky-ltc-ax0
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k2p-jq4-l3s
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rkr-rbm-4af
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.u7kppv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceptrothelys intermedia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083560-250717081556266/datasets/export for details.
DOI: 10.15468/dl.tx8cr5
title: Occurrence Download

description: A dataset containing 522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Alternanthera philoxeroides (Mart.) Griseb."
 ]
}

 The dataset includes 522 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079146-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgyw53
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calicotome intermedia (Salzm. ex C.Presl) Boiss. ex Rchb.f."
 ]
}

 The dataset includes 362 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251778-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eexxkm
title: Occurrence Download

description: A dataset containing 3623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Byrsonima sericea DC.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3623 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096464-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82eg72
title: Occurrence Download

description: A dataset containing 1371 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Lucasium byrnei (Lucas & Frost, 1896)"
 ]
}

 The dataset includes 1371 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079149-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.