cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e243238
title: NCHS - Drug Poisoning Mortality by County: United States

description: This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning from 1999 to 2015.

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Estimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.

Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).
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description: (Downloaded 1/10/2026)
DOI: 10.15156/bio/sh1217051.10fu
title: SH1217051.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3886/e243238v1
title: NCHS - Drug Poisoning Mortality by County: United States

description: This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning from 1999 to 2015.

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Estimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.

Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).
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description: (Downloaded 1/10/2026)
DOI: 10.15156/bio/sh1217057.10fu
title: SH1217057.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1217064.10fu
title: SH1217064.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1217070.10fu
title: SH1217070.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.38sa2e
title: Occurrence Download

description: A dataset containing 1315 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus kochii"
 ]
}

 The dataset includes 1315 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080471-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15137558
title: TABLE 3 in The Late Miocene hominoid Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974): maxillary deciduous dentition and virtual reconstruction of the unerupted permanent teeth

description: TABLE 3. — Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974), RPl-245, dental dimensions of the upper deciduous and permanent teeth. The dimensions of the permanent teeth were measured on the prepared casts after their virtual reconstruction. Abbreviations: BL, buccolingual length; C1, upper canine; d, deciduous; ML, mesiodistal length; P3, upper third premolar; P4, upper fourth premolar.
SpecimenMLdC 1BLdC 1MLdP 3BLdP 3MLdP 4BLdP 4MLC 1BLC 1MLP 3BLP 3MLM 1BLM 1RPl-2457.27.18.48.610.79.810.810.58.511.613.715.7
description: Published as part of Koufos, George D., Plastiras, Christos-Alexandros, David, Constantine N. & Sagris, Dimitrios, 2023, The Late Miocene hominoid Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974): maxillary deciduous dentition and virtual reconstruction of the unerupted permanent teeth, pp. 673 in Comptes Rendus Palevol 22 (33) on page 673, DOI: 10.5852/cr-palevol2023v22a33, http://zenodo.org/record/10118220
DOI: 10.5281/zenodo.15137559
title: TABLE 4 in The Late Miocene hominoid Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974): maxillary deciduous dentition and virtual reconstruction of the unerupted permanent teeth

description: TABLE 4. — Indices of upper deciduous teeth of Ouranopithecus macedoniensis (Bonis,Bouvrain,Geraads & Melentis,1974) and other extant and extinct hominids. Index-a. (MD*100)/BL and index-b. (MDdC1*100)/(MDdP3+MDdP4). The indices were calculated using the mean values of the dental dimensions.
Index-aTaxadC 1dP 3dP 4Index-bOuranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974)101.497.2109.237.5Gorilla Geoffroy Saint-Hilaire, 1852136.5100.0103.846.3Pan Oken, 1816152.094.393.954.6Pongo Lacépède, 1799130.789.397.050.0Homo sapiens Linnaeus, 1758115.785.693.545.4Proconsul meswae Harrison & Andrews, 2009108.981.082.547.2Proconsul major Le Gros Clark & Leakey, 1950133.195.991.751.5Ekembo heseloni (Walker, Teadford, Martin & Andrews, 1933)131.880.886.048.7Griphopithecus alpani (Tekkaya, 1974)–78.788.1–Hispanopithecus laietanus Villalta Comella & Crusafont-Pairó, 1944124.399.591.346.1Rudapithecus hungaricus (Kretzoi, 1969)–80.877.7–Lufengpithecus lufengensis Xu, Lu, Pan, Qi, Zhan & Zheng, 1978––88.2–Australopithecus afarensis Johanson, White & Coppens, 1978127.792.589.839.6Australopithecus africanus Dart, 192597.785.688.143.4
description: Published as part of Koufos, George D., Plastiras, Christos-Alexandros, David, Constantine N. & Sagris, Dimitrios, 2023, The Late Miocene hominoid Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974): maxillary deciduous dentition and virtual reconstruction of the unerupted permanent teeth, pp. 676 in Comptes Rendus Palevol 22 (33) on page 676, DOI: 10.5852/cr-palevol2023v22a33, http://zenodo.org/record/10118220
DOI: 10.5281/zenodo.15137560
title: TABLE 4 in The Late Miocene hominoid Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974): maxillary deciduous dentition and virtual reconstruction of the unerupted permanent teeth

description: TABLE 4. — Indices of upper deciduous teeth of Ouranopithecus macedoniensis (Bonis,Bouvrain,Geraads & Melentis,1974) and other extant and extinct hominids. Index-a. (MD*100)/BL and index-b. (MDdC1*100)/(MDdP3+MDdP4). The indices were calculated using the mean values of the dental dimensions.
Index-aTaxadC 1dP 3dP 4Index-bOuranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974)101.497.2109.237.5Gorilla Geoffroy Saint-Hilaire, 1852136.5100.0103.846.3Pan Oken, 1816152.094.393.954.6Pongo Lacépède, 1799130.789.397.050.0Homo sapiens Linnaeus, 1758115.785.693.545.4Proconsul meswae Harrison & Andrews, 2009108.981.082.547.2Proconsul major Le Gros Clark & Leakey, 1950133.195.991.751.5Ekembo heseloni (Walker, Teadford, Martin & Andrews, 1933)131.880.886.048.7Griphopithecus alpani (Tekkaya, 1974)–78.788.1–Hispanopithecus laietanus Villalta Comella & Crusafont-Pairó, 1944124.399.591.346.1Rudapithecus hungaricus (Kretzoi, 1969)–80.877.7–Lufengpithecus lufengensis Xu, Lu, Pan, Qi, Zhan & Zheng, 1978––88.2–Australopithecus afarensis Johanson, White & Coppens, 1978127.792.589.839.6Australopithecus africanus Dart, 192597.785.688.143.4
description: Published as part of Koufos, George D., Plastiras, Christos-Alexandros, David, Constantine N. & Sagris, Dimitrios, 2023, The Late Miocene hominoid Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974): maxillary deciduous dentition and virtual reconstruction of the unerupted permanent teeth, pp. 676 in Comptes Rendus Palevol 22 (33) on page 676, DOI: 10.5852/cr-palevol2023v22a33, http://zenodo.org/record/10118220
DOI: 10.5281/zenodo.15137561
title: TABLE 5 in The Late Miocene hominoid Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974): maxillary deciduous dentition and virtual reconstruction of the unerupted permanent teeth

description: TABLE 5. — Age at first upper and lower molar emergence in various extant and extinct hominoids. The ages are given in years.
Age at first molar emergenceSpeciesM 1m 1ReferenceAfropithecus turkanensis Leakey & Leakey, 1986 KNM-MO 26–2.4-3.6Kelley & Smith 2003Sivapithecus parvada Kelley, 1988 GSP 46460–2.2-4.5 (3.4)Kelley 1997Hispanopithecus laietanus Villalta Comella & Crusafont Pairo, 1944 IPS-17813.4-3.7–Dean & Kelley 2012Lufengpithecus lufengensis Xu, Lu, Pan, Qi, Zhan & Zheng, 1978 PA 868–2.1-4.4Zhao et al. 2008Australopithecus afarensis Johanson, White & Coppens, 1978 LH 21–3.3Bromage & Dean 1985Australopithecus africanus Dart, 1925 STS 24–3.3Bromage & Dean 1985Pan troglodytes (Blumenbach, 1775)3.323.26Dean & Wood 1981Gorilla gorilla (Savage, 1847)3.53.5Dean & Wood 1981Pongo pygmaeus (Linnaeus, 1760)–3.5Smith et al. 1994Pongo pygmaeus4.6–Kelley & Schwartz 2005Homo sapiens Linnaeus, 17586.316.07Dean & Wood 1981
description: Published as part of Koufos, George D., Plastiras, Christos-Alexandros, David, Constantine N. & Sagris, Dimitrios, 2023, The Late Miocene hominoid Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974): maxillary deciduous dentition and virtual reconstruction of the unerupted permanent teeth, pp. 683 in Comptes Rendus Palevol 22 (33) on page 683, DOI: 10.5852/cr-palevol2023v22a33, http://zenodo.org/record/10118220
DOI: 10.5281/zenodo.15137562
title: TABLE 5 in The Late Miocene hominoid Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974): maxillary deciduous dentition and virtual reconstruction of the unerupted permanent teeth

description: TABLE 5. — Age at first upper and lower molar emergence in various extant and extinct hominoids. The ages are given in years.
Age at first molar emergenceSpeciesM 1m 1ReferenceAfropithecus turkanensis Leakey & Leakey, 1986 KNM-MO 26–2.4-3.6Kelley & Smith 2003Sivapithecus parvada Kelley, 1988 GSP 46460–2.2-4.5 (3.4)Kelley 1997Hispanopithecus laietanus Villalta Comella & Crusafont Pairo, 1944 IPS-17813.4-3.7–Dean & Kelley 2012Lufengpithecus lufengensis Xu, Lu, Pan, Qi, Zhan & Zheng, 1978 PA 868–2.1-4.4Zhao et al. 2008Australopithecus afarensis Johanson, White & Coppens, 1978 LH 21–3.3Bromage & Dean 1985Australopithecus africanus Dart, 1925 STS 24–3.3Bromage & Dean 1985Pan troglodytes (Blumenbach, 1775)3.323.26Dean & Wood 1981Gorilla gorilla (Savage, 1847)3.53.5Dean & Wood 1981Pongo pygmaeus (Linnaeus, 1760)–3.5Smith et al. 1994Pongo pygmaeus4.6–Kelley & Schwartz 2005Homo sapiens Linnaeus, 17586.316.07Dean & Wood 1981
description: Published as part of Koufos, George D., Plastiras, Christos-Alexandros, David, Constantine N. & Sagris, Dimitrios, 2023, The Late Miocene hominoid Ouranopithecus macedoniensis (Bonis, Bouvrain, Geraads & Melentis, 1974): maxillary deciduous dentition and virtual reconstruction of the unerupted permanent teeth, pp. 683 in Comptes Rendus Palevol 22 (33) on page 683, DOI: 10.5852/cr-palevol2023v22a33, http://zenodo.org/record/10118220
DOI: 10.5281/zenodo.15137569
title: TABLE 2 in Limb histology of the Triassic stem turtles Proterochersis porebensis Szczygielski & Sulej, 2016 and Proganochelys quenstedtii Baur, 1887 with insights into growth patterns of early turtles

description: TABLE 2. — Measured and estimated lengths of studied Proterochersis porebensis Szczygielski & Sulej, 2016 stylopodial bones.
BoneSpecimen numberLength as preserved (cm)Estimated length (distal depth/length ratio) (cm)Estimated length (extrapolation based on complete) (cm)Used forHumerusZPAL V. 39/5010.610.6–CTZPAL V. 39/1567.77.6–CTZPAL V. 39/4333.8 (incomplete)8.2–HistologyZPAL V. 39/4392.2 (incomplete)4.7–HistologyZPAL V. 39/4465.85.9–CTFemurZPAL V. 39/4812.712.312.7–ZPAL V. 39/43214.014.514.0CTZPAL V. 39/4992.7 (incomplete)5.68.8HistologyZPAL V. 39/5006.6 (incomplete)12.813.0Histology
description: Published as part of Szczygielski, Tomasz, Klein, Nicole, Słowiak-Morkovina, Justyna & Scheyer, Torsten M., 2023, Limb histology of the Triassic stem turtles Proterochersis porebensis Szczygielski & Sulej, 2016 and Proganochelys quenstedtii Baur, 1887 with insights into growth patterns of early turtles, pp. 638 in Comptes Rendus Palevol 22 (32) on page 638, DOI: 10.5852/cr-palevol2023v22a32, http://zenodo.org/record/14224423
DOI: 10.5281/zenodo.15137570
title: TABLE 2 in Limb histology of the Triassic stem turtles Proterochersis porebensis Szczygielski & Sulej, 2016 and Proganochelys quenstedtii Baur, 1887 with insights into growth patterns of early turtles

description: TABLE 2. — Measured and estimated lengths of studied Proterochersis porebensis Szczygielski & Sulej, 2016 stylopodial bones.
BoneSpecimen numberLength as preserved (cm)Estimated length (distal depth/length ratio) (cm)Estimated length (extrapolation based on complete) (cm)Used forHumerusZPAL V. 39/5010.610.6–CTZPAL V. 39/1567.77.6–CTZPAL V. 39/4333.8 (incomplete)8.2–HistologyZPAL V. 39/4392.2 (incomplete)4.7–HistologyZPAL V. 39/4465.85.9–CTFemurZPAL V. 39/4812.712.312.7–ZPAL V. 39/43214.014.514.0CTZPAL V. 39/4992.7 (incomplete)5.68.8HistologyZPAL V. 39/5006.6 (incomplete)12.813.0Histology
description: Published as part of Szczygielski, Tomasz, Klein, Nicole, Słowiak-Morkovina, Justyna & Scheyer, Torsten M., 2023, Limb histology of the Triassic stem turtles Proterochersis porebensis Szczygielski & Sulej, 2016 and Proganochelys quenstedtii Baur, 1887 with insights into growth patterns of early turtles, pp. 638 in Comptes Rendus Palevol 22 (32) on page 638, DOI: 10.5852/cr-palevol2023v22a32, http://zenodo.org/record/14224423
DOI: 10.5281/zenodo.15137571
title: TABLE 3 in Limb histology of the Triassic stem turtles Proterochersis porebensis Szczygielski & Sulej, 2016 and Proganochelys quenstedtii Baur, 1887 with insights into growth patterns of early turtles

description: TABLE 3. — Carapace, humerus, and femur measurements and length ratios in Proganochelys quenstedtii Baur, 1887, Proterochersis porebensis Szczygielski & Sulej, 2016, and Palaeochersis talampayensis Rougier, Fuente & Arcucci, 1995. Carapace length estimation for SMNS 17203 taken from Gaffney (1990). Abbreviations: R, right; L, left; *, preservation (e.g. damage or deformation) possibly affecting length and resulting ratios.
SpeciesSpecimenMidline carapace length (cm)Humerus length (cm)Humerus/carapace length ratioFemur length (cm)Femur/carapace length ratioHumerus/femur length ratioPalaeochersis talampayensisPULR 06845.5L: 12.7L: 0.28L: 11.9L: 0.26L: 1.07R: 12.0R: 0.26R: 11.6R: 0.25R: 1.03Proganochelys quenstedtiiSMNS 1698048.5L: 13.4L: 0.28L: 15.3L: 0.32L: 0.88R: 13.9R: 0.29R: 15.7*R: 0.32*R: 0.89*SMNS 1720340* (estimated)L: 9.8*L: 0.25*L: 13.1L: 0.32*L: 0.75*––R: 14.4*R: 0.36*–SMNS 17204≥ 50*––L: 15.8L: 0.32> 0.82*R:> 13*R:> 0.26*R: 15.9R: 0.32–SMF 09-F255L: 15.6L: 0.28–––Proterochersis porebensisZPAL V. 39/4839.5––R: 12.7R: 0.32–
description: Published as part of Szczygielski, Tomasz, Klein, Nicole, Słowiak-Morkovina, Justyna & Scheyer, Torsten M., 2023, Limb histology of the Triassic stem turtles Proterochersis porebensis Szczygielski & Sulej, 2016 and Proganochelys quenstedtii Baur, 1887 with insights into growth patterns of early turtles, pp. 644 in Comptes Rendus Palevol 22 (32) on page 644, DOI: 10.5852/cr-palevol2023v22a32, http://zenodo.org/record/14224423