cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1207108.10fu
title: SH1207108.10FU

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/sh1207110.10fu
title: SH1207110.10FU

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/sh1207111.10fu
title: SH1207111.10FU

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/sh1207117.10fu
title: SH1207117.10FU

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: 10.25582/data.2024-04.3081148/2546030
title: Data for EMSL Project 51287 from April 2024
DOI: 10.5281/zenodo.15137509
title: Table 23 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 23. Carapace width (mm) of hatchling loggerhead sea turtles.
LocationMeanRangeTVReferenceAtlantic OceanMaryland37.06.4-7.120Graham (1973)South Carolina35.531 -40398Caldwell (1959)Georgia34.826.8-38.8200Kraemer (1979)Florida34.730.2-38.06Ehrhart (1979c)Florida34.029.0-38.442Ehrhart (1979c)Indian OceanSri Lanka35.734-3821Deraniyagala (1930)Tongaland35——McAllister et al. (1965)Tongaland36.229-39183Hughes et al. (1967)Tongaland36.7—499Hughes and Mentis (1967)Tongaland36.5—50Hughes (1970a)Tongaland36.331.9-38.130Hughes (1971 a)Tongaland36.331.6-38.358Hughes (1972)Mediterranean SeaGreece33.9—20Margaritoulis (1982)Pacific OceanJapan40.434-5160Nishimura (1967)Solomon Islands38.036.5-39.010Carr (1952)
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 51 in Biological report 88 (14) on page 51, DOI: 10.5281/zenodo.14224174
DOI: 10.5281/zenodo.15137510
title: Table 23 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 23. Carapace width (mm) of hatchling loggerhead sea turtles.
LocationMeanRangeTVReferenceAtlantic OceanMaryland37.06.4-7.120Graham (1973)South Carolina35.531 -40398Caldwell (1959)Georgia34.826.8-38.8200Kraemer (1979)Florida34.730.2-38.06Ehrhart (1979c)Florida34.029.0-38.442Ehrhart (1979c)Indian OceanSri Lanka35.734-3821Deraniyagala (1930)Tongaland35——McAllister et al. (1965)Tongaland36.229-39183Hughes et al. (1967)Tongaland36.7—499Hughes and Mentis (1967)Tongaland36.5—50Hughes (1970a)Tongaland36.331.9-38.130Hughes (1971 a)Tongaland36.331.6-38.358Hughes (1972)Mediterranean SeaGreece33.9—20Margaritoulis (1982)Pacific OceanJapan40.434-5160Nishimura (1967)Solomon Islands38.036.5-39.010Carr (1952)
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 51 in Biological report 88 (14) on page 51, DOI: 10.5281/zenodo.14224174
DOI: 10.6084/m9.figshare.28735151
title: [Research Data] AI-Driven Assessment of Urban Water Meter Errors: A Sustainable Framework for Optimizing Resource Efficiency and AI-Driven Assessment of Urban Water Meter Errors: A Sustainable Framework for Optimizing Resource Efficiency and Reducing Carbon Footprint

description: Accurate water metering is critical for addressing non-revenue water (NRW) losses and advancing sustainable urban water management. This study proposes an AI-enabled framework to optimize meter replacement cycles, integrating advanced metering infrastructure data with semi-supervised learning to mitigate metrological errors and reduce lifecycle greenhouse gas (GHG) emissions. Through case studies of two Chinese cities (Y and W), we developed an Apparent Metering Error (AME) metric that quantifies water loss by synthesizing flow-dependent error curves and usage patterns. A neural network model, trained on 144 mechanical meters (MMs) and validated against 140,000 residential meters, demonstrated that aging MMs exhibit systematic under-registration (AME: −6% to −2%), driven by low-flow measurement failures and prolonged service durations. Results revealed that optimized replacement strategies could reduce GHG emissions and lower costs compared to conventional practices. The framework offers a scalable solution for global cities grappling with NRW and climate resilience challenges.
DOI: 10.6084/m9.figshare.28735151.v1
title: [Research Data] AI-Driven Assessment of Urban Water Meter Errors: A Sustainable Framework for Optimizing Resource Efficiency and AI-Driven Assessment of Urban Water Meter Errors: A Sustainable Framework for Optimizing Resource Efficiency and Reducing Carbon Footprint

description: Accurate water metering is critical for addressing non-revenue water (NRW) losses and advancing sustainable urban water management. This study proposes an AI-enabled framework to optimize meter replacement cycles, integrating advanced metering infrastructure data with semi-supervised learning to mitigate metrological errors and reduce lifecycle greenhouse gas (GHG) emissions. Through case studies of two Chinese cities (Y and W), we developed an Apparent Metering Error (AME) metric that quantifies water loss by synthesizing flow-dependent error curves and usage patterns. A neural network model, trained on 144 mechanical meters (MMs) and validated against 140,000 residential meters, demonstrated that aging MMs exhibit systematic under-registration (AME: −6% to −2%), driven by low-flow measurement failures and prolonged service durations. Results revealed that optimized replacement strategies could reduce GHG emissions and lower costs compared to conventional practices. The framework offers a scalable solution for global cities grappling with NRW and climate resilience challenges.
DOI: 10.25582/data.2024-04.3081150/2546031
title: Data for EMSL Project 51287 from April 2024
DOI: 10.5281/zenodo.15137513
title: Table 24 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 24. Head width (mm) of hatchling loggerhead sea turtles.
LocationMeanRangeJVReferenceSolomon Islands15.915-1610Carr (1952)Tongaland15.714.5-16.430Hughes (197 W)Tongaland16.114.4-16.758Hughes (1972)
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 52 in Biological report 88 (14) on page 52, DOI: 10.5281/zenodo.14224174
DOI: 10.5281/zenodo.15137514
title: Table 24 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 24. Head width (mm) of hatchling loggerhead sea turtles.
LocationMeanRangeJVReferenceSolomon Islands15.915-1610Carr (1952)Tongaland15.714.5-16.430Hughes (197 W)Tongaland16.114.4-16.758Hughes (1972)
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 52 in Biological report 88 (14) on page 52, DOI: 10.5281/zenodo.14224174
DOI: 10.5281/zenodo.15137515
title: Table 25 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 25. Mass (g) of hatchling loggerhead sea turtles.
LocationMeanRangeNReferenceAtlantic OceanMaryland—17.0-19.020Graham (1973)South Carolina21.2—104Caldwell (1959)Georgia18.913.5-23.8200Kraemer (1979)Florida21.716.1-25.86Ehrhart (1979c)Florida20.812.2-27.642Ehrhart (1979c)Colombia349.442.1-63.3—Kaufmann (1968)Indian OceanTongaland19.716.5-22.430Hughes (1971 (f)Tongaland22.017.6-24.858Hughes (1972)Pacific OceanQueensland19.315.5-22.0127Limpus et al. (1984)Queensland20.914.6-26.5690Limpus (1985)
aBased on 6-day-old hatchlings.
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 52 in Biological report 88 (14) on page 52, DOI: 10.5281/zenodo.14224174
DOI: 10.5281/zenodo.15137516
title: Table 25 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 25. Mass (g) of hatchling loggerhead sea turtles.
LocationMeanRangeNReferenceAtlantic OceanMaryland—17.0-19.020Graham (1973)South Carolina21.2—104Caldwell (1959)Georgia18.913.5-23.8200Kraemer (1979)Florida21.716.1-25.86Ehrhart (1979c)Florida20.812.2-27.642Ehrhart (1979c)Colombia349.442.1-63.3—Kaufmann (1968)Indian OceanTongaland19.716.5-22.430Hughes (1971 (f)Tongaland22.017.6-24.858Hughes (1972)Pacific OceanQueensland19.315.5-22.0127Limpus et al. (1984)Queensland20.914.6-26.5690Limpus (1985)
aBased on 6-day-old hatchlings.
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 52 in Biological report 88 (14) on page 52, DOI: 10.5281/zenodo.14224174
DOI: 10.25582/data.2024-04.3081157/2546032
title: Data for EMSL Project 51287 from April 2024
DOI: 10.5281/zenodo.15137518
title: Table 26 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 26. Growth rates and estimated age at maturity of loggerhead sea turtles. C = captive turtles; W wild turtles. Some values were derived from Part 3 of the Appendix in Zug et al. (1986).
c/wEstimated age at maturity (yOEstimated growth rate (cm/yr)Referencec—16.17Parker (1926) Hildebrand and Hatsel (1927)c—11.03Hildebrand and Hatsel (1927) Caldwell et al. (1955) Caldwell (1962c)c—8.21c6-712.8-15.0c812.5Caldwell (1962c) Uchida (1967)c—17.68, 11.14Kaufmann (1972)c—18.29Rebel (1974) Witham and Futch (1977)c—13.64w30 +0.625-1.375Witham and Futch (1977) Limpus (1979) a0.0-0.26w10-155.90 (1.8-10.1)Mendonca (1981) Bjorndal et al. (1983) Frazer and Schwartz (1984)w—5.70c16-20—w12-30—Frazer and Schwartz (1984) Frazer and Ehrhart (1985)w>270.2, 1.0 bLimpus (1985)w15-30—Frazer (1986)w13-152.1-19.8 CZug et al. (1986)
¿ Range for subadults (ﬁrst line) and adults (second line.)
bMean for adults (ﬁrst value) and immatures (second value).
cExcludes outliers and those with excessively high age estimates.
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 53 in Biological report 88 (14) on page 53, DOI: 10.5281/zenodo.14224174
DOI: 10.5281/zenodo.15137517
title: Table 26 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 26. Growth rates and estimated age at maturity of loggerhead sea turtles. C = captive turtles; W wild turtles. Some values were derived from Part 3 of the Appendix in Zug et al. (1986).
c/wEstimated age at maturity (yOEstimated growth rate (cm/yr)Referencec—16.17Parker (1926) Hildebrand and Hatsel (1927)c—11.03Hildebrand and Hatsel (1927) Caldwell et al. (1955) Caldwell (1962c)c—8.21c6-712.8-15.0c812.5Caldwell (1962c) Uchida (1967)c—17.68, 11.14Kaufmann (1972)c—18.29Rebel (1974) Witham and Futch (1977)c—13.64w30 +0.625-1.375Witham and Futch (1977) Limpus (1979) a0.0-0.26w10-155.90 (1.8-10.1)Mendonca (1981) Bjorndal et al. (1983) Frazer and Schwartz (1984)w—5.70c16-20—w12-30—Frazer and Schwartz (1984) Frazer and Ehrhart (1985)w>270.2, 1.0 bLimpus (1985)w15-30—Frazer (1986)w13-152.1-19.8 CZug et al. (1986)
¿ Range for subadults (ﬁrst line) and adults (second line.)
bMean for adults (ﬁrst value) and immatures (second value).
cExcludes outliers and those with excessively high age estimates.
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 53 in Biological report 88 (14) on page 53, DOI: 10.5281/zenodo.14224174
DOI: 10.25582/data.2024-04.3081159/2546033
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081162/2546034
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081175/2546035
title: Data for EMSL Project 51287 from April 2024
DOI: 10.5281/zenodo.15137523
title: Table 29 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 29. Logistic, von Bertalanffy equation, and regression values for carapace length growth in the loggerhead sea turtle.
LocationNa(cm)KReferenceLogistic L (1 + be" kt)Japan104.1 97.20.703 0.7101.13 1.08Uchida (1967)N. Carolina91.8 99.20.325 0.26413.0 12.2Frazer and Schwartz (1984)Florida2094.60.1430.95Frazer and Ehrhart (1985)von Bertalanffy L = a(l - be ')N. Carolina21,228.00.00410.997Frazer and Schwartz (1984)541.80.00810.990Frazer and Schwartz (1984)Florida2094.60.1200.952Frazer and Ehrhart (1985)RegressionEquationFlorida13Y == 0.48 x -0.04 aMendonca (1981)
a Regression of carapace length at recapture versus number of months since first capture.
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 68 in Biological report 88 (14) on page 68, DOI: 10.5281/zenodo.14224174
DOI: 10.5281/zenodo.15137524
title: Table 29 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 29. Logistic, von Bertalanffy equation, and regression values for carapace length growth in the loggerhead sea turtle.
LocationNa(cm)KReferenceLogistic L (1 + be" kt)Japan104.1 97.20.703 0.7101.13 1.08Uchida (1967)N. Carolina91.8 99.20.325 0.26413.0 12.2Frazer and Schwartz (1984)Florida2094.60.1430.95Frazer and Ehrhart (1985)von Bertalanffy L = a(l - be ')N. Carolina21,228.00.00410.997Frazer and Schwartz (1984)541.80.00810.990Frazer and Schwartz (1984)Florida2094.60.1200.952Frazer and Ehrhart (1985)RegressionEquationFlorida13Y == 0.48 x -0.04 aMendonca (1981)
a Regression of carapace length at recapture versus number of months since first capture.
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 68 in Biological report 88 (14) on page 68, DOI: 10.5281/zenodo.14224174
DOI: 10.25582/data.2024-04.3081180/2546036
title: Data for EMSL Project 51287 from April 2024
DOI: 10.5281/zenodo.15137525
title: Table 30 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 30. Regression of log weight (Y) in kg on log carapace length (X) in cm in the sea turtle Caretta caretta using the equation log Y = a + b log X from selected studies.
LocalityNSexSlopeInterceptSourceSouth Africa33F1.642-1.233Hughes et al. (1967)Florida33F2.341-2.613Ehrhart (1978 in Hirth 1982)
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 74 in Biological report 88 (14) on page 74, DOI: 10.5281/zenodo.14224174
DOI: 10.5281/zenodo.15137526
title: Table 30 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 30. Regression of log weight (Y) in kg on log carapace length (X) in cm in the sea turtle Caretta caretta using the equation log Y = a + b log X from selected studies.
LocalityNSexSlopeInterceptSourceSouth Africa33F1.642-1.233Hughes et al. (1967)Florida33F2.341-2.613Ehrhart (1978 in Hirth 1982)
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 74 in Biological report 88 (14) on page 74, DOI: 10.5281/zenodo.14224174
DOI: 10.5281/zenodo.15137527
title: Table 31 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 31. The relationship between various meristic characters in several studies of captive loggerheads, using the allometric growth equation Y = aX b.
LocalityYXbabSourceJapancarapace widthCL0.17091.4189Uchida (1967)carapace widthCL1.06080.9678 “shell depthCL0.47061.0081head lengthCL0.96430.7787head widthCL1.13060.6821body weightCL0.000492.8317body weightCW0.000442.9147Japanbody weightCL0.000342.89Anonymous (1984 a)
aExpressed after inflection point.
bCL = carapace length; CW = carapace width.
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 74 in Biological report 88 (14) on page 74, DOI: 10.5281/zenodo.14224174
DOI: 10.5281/zenodo.15137528
title: Table 31 in SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758)

description: Table 31. The relationship between various meristic characters in several studies of captive loggerheads, using the allometric growth equation Y = aX b.
LocalityYXbabSourceJapancarapace widthCL0.17091.4189Uchida (1967)carapace widthCL1.06080.9678 “shell depthCL0.47061.0081head lengthCL0.96430.7787head widthCL1.13060.6821body weightCL0.000492.8317body weightCW0.000442.9147Japanbody weightCL0.000342.89Anonymous (1984 a)
aExpressed after inflection point.
bCL = carapace length; CW = carapace width.
description: Published as part of C. Kenneth Dodd, Jr., 1988, SYNOPSIS OF THE BIOLOGICAL DATA ON THE LOGGERHEAD SEA TURTLE CARETTA CARETTA (LINNAEUS 1758), pp. 74 in Biological report 88 (14) on page 74, DOI: 10.5281/zenodo.14224174
DOI: 10.5281/zenodo.15151531
title: tangzhenjie/CAAE-PCL-MIMR-data: data-v1

description: the hydraulic conductivity logK data
DOI: 10.5281/zenodo.15151532
title: tangzhenjie/CAAE-PCL-MIMR-data: data-v1

description: the hydraulic conductivity logK data
DOI: 10.25582/data.2024-04.3081188/2546037
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081191/2546038
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081205/2546039
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3081211/2546040
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.qzjp4v
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ixeridium alpicola (Takeda) Pak & Kawano",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 277 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192888-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9d4hm
title: Occurrence Download

description: A dataset containing 115770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Capra Linnaeus, 1758"
 ]
}

 The dataset includes 115770 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240629-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112038612
title: Cuneiform Tablet 1913.14.1693, Spurlock 1913.14.1693

description: [Text Description:] Receipt of hides ❧ [Text or Publication Number Note:] Spurlock 1913.14.1693; CDLI P421544 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Medium Gray (N 5.75/ 27.2% R) Brownish Pink (5YR 8/3) Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3 x 2.3 x 1.5 cm (9 g)
DOI: 10.15468/dl.jn5cze
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callistephus chinensis (L.) Nees",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191057-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7dg5grf7bk.1
title: Database: HELIYON-D-23-49174

description: This database contains information utilized for the study on the topic "Diversification, Crisis, and R&D Investment."