cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/yaav4x/awofrt
title: Section 04 Consumption.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/d6il4p
title: Section 07a Smoking Tobacco Consumption of HHH.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/dwai9s
title: Section 14b Migration Failure.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/ek3vqg
title: Section 08c Farm Inputs and Labor Inputs.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/esxcgv
title: Section 05 Shocks and Risks Coping.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/etnsjr
title: English Questionnaire.pdf

description: :unav
DOI: 10.7910/dvn/yaav4x/fsysj1
title: Section 12 Asset Holdings.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/gn0djc
title: Section 03 Housing.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/mxswnz
title: Section 19 Labor Income of Spouse.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/pecj6d
title: Section 21b Time Preference.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/spm48f
title: Section 20b Reproductive History and Antenatal Care.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/tj7a6x
title: Section 11 Labor Income of HHH.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/u7jzqu
title: Section 21a Risk Preference.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/um0ycj
title: Section 06a2 Children_s Marriage and Dowry Information.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/xbcig8
title: Section 01 Identification.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/xzo556
title: Section 13 Livestock.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/zu2j98
title: Section 18 Smokeless Tobacco Consumption of Spouse.tab

description: :unav
DOI: 10.18452/19506
title: BBK-Veranstaltungen (01/1998-07/2018)

description: Supplement zum Artikel "Ein Jubiläum kommt selten allein: 20 Jahre Berliner Bibliothekswissenschaftliches Kolloquium" in LIBREAS #34 (2018) | 90 Jahre Bibliotheks*wissenschaft in Berlin Liste aller Veranstaltungen des Berliner Bibliothekswissenschaftlichen Kolloquiums (BBK) von 1998 bis zum Juli 2018
description: Supplement to: "Ein Jubiläum kommt selten allein: 20 Jahre Berliner Bibliothekswissenschaftliches Kolloquium" in LIBREAS #34 (2018) | 90 Jahre Bibliotheks*wissenschaft in Berlin List of all sessions of the Berliner Bibliothekswissenschaftliches Kolloquium (BBK) between 1998 until July 2018
DOI: 10.18739/a2cr5nc1b
title: Ice core ethane measurements, Greenland and Antarctica, 1000-1900 CE
DOI: 10.5281/zenodo.1476177
title: Economic Impact of the GIWW on the States It Serves

description: Data set and report with data descriptions and outputs, "Economic Impact of the Gulf Intracoastal Waterway on the States It Serves". The purpose of the report was to examine the economic impact of the GIWW on the five states it serves: Texas, Louisiana, Mississippi, Alabama, and Florida. This project involved several research tasks. First, researchers estimated the economic impact of the GIWW by looking specifically at the impact of the commodities using the GIWW in the relevant coastal counties in each of these five states. Once this task was completed, researchers then estimated the impact of the GIWW on other modes, modeling the possible adverse impacts that would result if the GIWW were to become permanently unavailable and shippers would instead have to use the next economically feasible transportation mode. Researchers examined the cost of shifting additional traffic to other modes of transportation.
DOI: 10.7910/dvn/vs2f5d/viifgd
title: 2017Jan15_USPACOM_MovieExperiment.tab

description: :unav
DOI: 10.14469/hpc/4754
title: Acetic acid

description: Gaussian Calculation
DOI: 10.14469/hpc/4755
title: Acetate

description: Gaussian Calculation
DOI: 10.14469/hpc/4756
title: II-TS

description: Gaussian Calculation
DOI: 10.14469/hpc/4759
title: IVa'-TS

description: Gaussian Calculation
DOI: 10.14469/hpc/4760
title: IIIb (carbocation)

description: Gaussian Calculation
DOI: 10.5066/f72n51m5
title: Data release of geospatial map database, argon geochronology and geochemistry data for: Geologic map of the San Antonio Mountain area, northern New Mexico and southern Colorado

description: This dataset accompanies publication "Geologic map of the San Antonio Mountain area, northern New Mexico and southern Colorado". Data presented here include the digital geologic database, 40Ar/39Ar geochronology and major and trace element chemistry from lava flows and an ignimbrite. The geologic database includes spatial feature classes and non-spatial tables that collectively contain the geologic information presented in the map plate. 40Ar/39Ar geochronologic analyses and geochemical data constrain temporal and stratigraphic relations for deposits associated with the Taos Plateau volcanic field, late Oligocene to Miocene basaltic volcanism, and the San Juan Mountains locus of the Southern Rocky Mountains volcanic field along the western margin of the San Luis Basin situated in northern New Mexico and southern Colorado, USA.
DOI: 10.14469/hpc/4753
title: Vinyl ether

description: Gaussian Calculation
DOI: 10.14469/hpc/4757
title: IIIa (hemiacetal)

description: Gaussian Calculation
DOI: 10.14469/hpc/4758
title: IVa-TS

description: Gaussian Calculation
DOI: 10.14469/hpc/4761
title: Cyclohexanone

description: Gaussian Calculation
DOI: 10.14469/hpc/4762
title: Methyl acetate

description: Gaussian Calculation
DOI: 10.14469/hpc/4763
title: IRC: II-TS

description: Gaussian Calculation
DOI: 10.14469/hpc/4764
title: IRC: IVa-TS

description: Gaussian Calculation
DOI: 10.14469/hpc/4765
title: IRC: IVa'-TS

description: Gaussian Calculation
DOI: 10.14469/hpc/4766
title: IRC: IIIb-TS

description: Gaussian Calculation
DOI: 10.14469/hpc/4767
title: IIIb-TS

description: Gaussian Calculation
DOI: 10.5281/zenodo.1446397
title: A 2D hyperspectral library of mineral reflectance, from 900 to 2500nm - Raw data

description: Each <strong>zip</strong> file contains the text description file: <strong>description.txt</strong>. It also contains the data of one or two measurement, <strong>A</strong> and possibly B. The files are named as follows (<strong>####</strong> is the sample ID, <strong>@</strong> the letter of the measurement): <strong>####-@.ply</strong> and <strong>####-@.png</strong>: 3D reconstruction in Stanford PLY format, and associated texture file. <strong>@-im-000.jpg</strong>, <strong>@-im-010.jpg</strong>, ..., <strong>@-im-360.jpg</strong>: JPEG images of the sample, the angle is in degrees. 0 degree correspond to the position used during scanning. <strong>@.scan.h5</strong>: HDF5 file containing the raw scan data. The zip files correspond to the sample IDs, according to the following table: <pre><code>Mineral Sample IDs Datapoints ---------------------------------------------------------------- Actinolite 0020, 0021, 0064 56840 Albite 0107 22521 Almandine 0025, 0026, 0073, 0074 17425 Andalusite 0014 18862 Anhydrite 0004 30832 Apatite 0089(2), 0090(2) 69062 Aragonite 0061 40111 Arsenopyrite 0087(2) 66333 Augite 0038 8503 Barite 0006 37130 Beryl 0075(2) 37743 Biotite 0049(2), 0050 45400 Blende 0086(2) 15596 Bronzite 0112 50452 Bytownite 0103 14666 Calcite 0010, 0011, 0052, 0078, 0079 112501 Cassiterite 0119, 0120 38535 Celestite 0000, 0001, 0002 56075 Chalcedony 0108(2), 0109(2) 96431 Chalcopyrite 0106 19375 Chlorite 0013 75802 Clinochlore 0126 45301 Coal 0081, 0082 44664 Copper 0101 14556 Diopside 0069 58959 Dolomite 0091(2), 0092(2) 76810 Enstatite 0047 31072 Epidote 0023, 0024 47306 Fluorite 0003(2), 0012(2) 98638 Galena 0053, 0054 17931 Garnet 0115 27331 Glaucophane 0016, 0017, 0076, 0077 200830 Goethite 0114 10717 Graphite 0083, 0084 20047 Grossular 0030, 0031 46592 Gypsum 0005(2), 0007, 0063 159829 Halite 0008, 0056 66201 Halloysite 0121, 0122 102028 Hematite 0039(2), 0085(2), 0095, 0096 165228 Hornblende 0046 9175 Hypersthene 0111 62932 Ilmenite 0116 16256 Kaolinite 0113 20764 Kyanite 0029 12320 Labradorite 0088(2), 0104(2) 62762 Limonite 0128, 0129 64550 Magnetite 0055, 0072 7103 Microcline 0071 60699 Montmorillonite 0123, 0124, 0125 87986 Muscovite 0034 62481 Nepheline 0097(2) 51930 Olivine 0065 7965 Omphacite 0019, 0067 108032 Opal 0102 34404 Orthoclase 0057 49824 Phlogopite 0045, 0070 105119 Pyrite 0042, 0048 31598 Pyrolusite 0117, 0118 45534 Pyrrhotite 0051 21572 Quartz 0009(2), 0035 126760 Rutile 0093 4959 Sanidine 0099(2) 49260 Serpentine 0018, 0068 78937 Siderite 0080 11651 Silicified wood 0127(2) 92935 Sillimanite 0032, 0033 70546 Sodalite 0043, 0060 61852 Sphalerite 0105 27485 Staurolite 0027, 0028, 0066 30628 Sulfur 0036, 0037 34751 Talc 0022, 0040, 0041, 0058, 0059 138317 Titanite 0094 4121 Tourmaline 0044, 0062 68419 Tremolite 0098(2), 0100 70913 Zircon 0110(2) 5110 </code></pre>
DOI: 10.4119/unibi/2931953
title: Supplementary Material for "Ambient Displays Supporting Environmentally-Conscious Behavior"

description: Supplementary material for the dissertation "Ambient Displays Supporting Environmentally-Conscious Behavior". See Appendix A for a short description of the contents.
DOI: 10.5281/zenodo.1446396
title: A 2D hyperspectral library of mineral reflectance, from 900 to 2500nm - Raw data

description: Each <strong>zip</strong> file contains the text description file: <strong>description.txt</strong>. It also contains the data of one or two measurement, <strong>A</strong> and possibly B. The files are named as follows (<strong>####</strong> is the sample ID, <strong>@</strong> the letter of the measurement): <strong>####-@.ply</strong> and <strong>####-@.png</strong>: 3D reconstruction in Stanford PLY format, and associated texture file. <strong>@-im-000.jpg</strong>, <strong>@-im-010.jpg</strong>, ..., <strong>@-im-360.jpg</strong>: JPEG images of the sample, the angle is in degrees. 0 degree correspond to the position used during scanning. <strong>@.scan.h5</strong>: HDF5 file containing the raw scan data. The zip files correspond to the sample IDs, according to the following table: <pre><code>Mineral Sample IDs Datapoints ---------------------------------------------------------------- Actinolite 0020, 0021, 0064 56840 Albite 0107 22521 Almandine 0025, 0026, 0073, 0074 17425 Andalusite 0014 18862 Anhydrite 0004 30832 Apatite 0089(2), 0090(2) 69062 Aragonite 0061 40111 Arsenopyrite 0087(2) 66333 Augite 0038 8503 Barite 0006 37130 Beryl 0075(2) 37743 Biotite 0049(2), 0050 45400 Blende 0086(2) 15596 Bronzite 0112 50452 Bytownite 0103 14666 Calcite 0010, 0011, 0052, 0078, 0079 112501 Cassiterite 0119, 0120 38535 Celestite 0000, 0001, 0002 56075 Chalcedony 0108(2), 0109(2) 96431 Chalcopyrite 0106 19375 Chlorite 0013 75802 Clinochlore 0126 45301 Coal 0081, 0082 44664 Copper 0101 14556 Diopside 0069 58959 Dolomite 0091(2), 0092(2) 76810 Enstatite 0047 31072 Epidote 0023, 0024 47306 Fluorite 0003(2), 0012(2) 98638 Galena 0053, 0054 17931 Garnet 0115 27331 Glaucophane 0016, 0017, 0076, 0077 200830 Goethite 0114 10717 Graphite 0083, 0084 20047 Grossular 0030, 0031 46592 Gypsum 0005(2), 0007, 0063 159829 Halite 0008, 0056 66201 Halloysite 0121, 0122 102028 Hematite 0039(2), 0085(2), 0095, 0096 165228 Hornblende 0046 9175 Hypersthene 0111 62932 Ilmenite 0116 16256 Kaolinite 0113 20764 Kyanite 0029 12320 Labradorite 0088(2), 0104(2) 62762 Limonite 0128, 0129 64550 Magnetite 0055, 0072 7103 Microcline 0071 60699 Montmorillonite 0123, 0124, 0125 87986 Muscovite 0034 62481 Nepheline 0097(2) 51930 Olivine 0065 7965 Omphacite 0019, 0067 108032 Opal 0102 34404 Orthoclase 0057 49824 Phlogopite 0045, 0070 105119 Pyrite 0042, 0048 31598 Pyrolusite 0117, 0118 45534 Pyrrhotite 0051 21572 Quartz 0009(2), 0035 126760 Rutile 0093 4959 Sanidine 0099(2) 49260 Serpentine 0018, 0068 78937 Siderite 0080 11651 Silicified wood 0127(2) 92935 Sillimanite 0032, 0033 70546 Sodalite 0043, 0060 61852 Sphalerite 0105 27485 Staurolite 0027, 0028, 0066 30628 Sulfur 0036, 0037 34751 Talc 0022, 0040, 0041, 0058, 0059 138317 Titanite 0094 4121 Tourmaline 0044, 0062 68419 Tremolite 0098(2), 0100 70913 Zircon 0110(2) 5110 </code></pre>
DOI: 10.5281/zenodo.1476494
title: A 2D hyperspectral library of mineral reflectance, from 900 to 2500nm - High dynamic range data

description: Each <strong>zip</strong> file contains the text description file: <strong>description.txt</strong>. It also contains the data of one or two measurement, <strong>A</strong> and possibly B. The files are named as follows (<strong>####</strong> is the sample ID, <strong>@</strong> the letter of the measurement): <strong>####-@.ply</strong> and <strong>####-@.png</strong>: 3D reconstruction in Stanford PLY format, and associated texture file. <strong>@-im-000.jpg</strong>, <strong>@-im-010.jpg</strong>, ..., <strong>@-im-360.jpg</strong>: JPEG images of the sample, the angle is in degrees. 0 degree correspond to the position used during scanning. <strong>@.hdr.h5</strong>: HDF5 file containing the HDR scan data. The zip files correspond to the sample IDs, according to the following table: <pre><code>Mineral Sample IDs Datapoints ---------------------------------------------------------------- Actinolite 0020, 0021, 0064 56840 Albite 0107 22521 Almandine 0025, 0026, 0073, 0074 17425 Andalusite 0014 18862 Anhydrite 0004 30832 Apatite 0089(2), 0090(2) 69062 Aragonite 0061 40111 Arsenopyrite 0087(2) 66333 Augite 0038 8503 Barite 0006 37130 Beryl 0075(2) 37743 Biotite 0049(2), 0050 45400 Blende 0086(2) 15596 Bronzite 0112 50452 Bytownite 0103 14666 Calcite 0010, 0011, 0052, 0078, 0079 112501 Cassiterite 0119, 0120 38535 Celestite 0000, 0001, 0002 56075 Chalcedony 0108(2), 0109(2) 96431 Chalcopyrite 0106 19375 Chlorite 0013 75802 Clinochlore 0126 45301 Coal 0081, 0082 44664 Copper 0101 14556 Diopside 0069 58959 Dolomite 0091(2), 0092(2) 76810 Enstatite 0047 31072 Epidote 0023, 0024 47306 Fluorite 0003(2), 0012(2) 98638 Galena 0053, 0054 17931 Garnet 0115 27331 Glaucophane 0016, 0017, 0076, 0077 200830 Goethite 0114 10717 Graphite 0083, 0084 20047 Grossular 0030, 0031 46592 Gypsum 0005(2), 0007, 0063 159829 Halite 0008, 0056 66201 Halloysite 0121, 0122 102028 Hematite 0039(2), 0085(2), 0095, 0096 165228 Hornblende 0046 9175 Hypersthene 0111 62932 Ilmenite 0116 16256 Kaolinite 0113 20764 Kyanite 0029 12320 Labradorite 0088(2), 0104(2) 62762 Limonite 0128, 0129 64550 Magnetite 0055, 0072 7103 Microcline 0071 60699 Montmorillonite 0123, 0124, 0125 87986 Muscovite 0034 62481 Nepheline 0097(2) 51930 Olivine 0065 7965 Omphacite 0019, 0067 108032 Opal 0102 34404 Orthoclase 0057 49824 Phlogopite 0045, 0070 105119 Pyrite 0042, 0048 31598 Pyrolusite 0117, 0118 45534 Pyrrhotite 0051 21572 Quartz 0009(2), 0035 126760 Rutile 0093 4959 Sanidine 0099(2) 49260 Serpentine 0018, 0068 78937 Siderite 0080 11651 Silicified wood 0127(2) 92935 Sillimanite 0032, 0033 70546 Sodalite 0043, 0060 61852 Sphalerite 0105 27485 Staurolite 0027, 0028, 0066 30628 Sulfur 0036, 0037 34751 Talc 0022, 0040, 0041, 0058, 0059 138317 Titanite 0094 4121 Tourmaline 0044, 0062 68419 Tremolite 0098(2), 0100 70913 Zircon 0110(2) 5110 </code></pre>
DOI: 10.5281/zenodo.1476495
title: A 2D hyperspectral library of mineral reflectance, from 900 to 2500nm - High dynamic range data

description: Each <strong>zip</strong> file contains the text description file: <strong>description.txt</strong>. It also contains the data of one or two measurement, <strong>A</strong> and possibly B. The files are named as follows (<strong>####</strong> is the sample ID, <strong>@</strong> the letter of the measurement): <strong>####-@.ply</strong> and <strong>####-@.png</strong>: 3D reconstruction in Stanford PLY format, and associated texture file. <strong>@-im-000.jpg</strong>, <strong>@-im-010.jpg</strong>, ..., <strong>@-im-360.jpg</strong>: JPEG images of the sample, the angle is in degrees. 0 degree correspond to the position used during scanning. <strong>@.hdr.h5</strong>: HDF5 file containing the HDR scan data. The zip files correspond to the sample IDs, according to the following table: <pre><code>Mineral Sample IDs Datapoints ---------------------------------------------------------------- Actinolite 0020, 0021, 0064 56840 Albite 0107 22521 Almandine 0025, 0026, 0073, 0074 17425 Andalusite 0014 18862 Anhydrite 0004 30832 Apatite 0089(2), 0090(2) 69062 Aragonite 0061 40111 Arsenopyrite 0087(2) 66333 Augite 0038 8503 Barite 0006 37130 Beryl 0075(2) 37743 Biotite 0049(2), 0050 45400 Blende 0086(2) 15596 Bronzite 0112 50452 Bytownite 0103 14666 Calcite 0010, 0011, 0052, 0078, 0079 112501 Cassiterite 0119, 0120 38535 Celestite 0000, 0001, 0002 56075 Chalcedony 0108(2), 0109(2) 96431 Chalcopyrite 0106 19375 Chlorite 0013 75802 Clinochlore 0126 45301 Coal 0081, 0082 44664 Copper 0101 14556 Diopside 0069 58959 Dolomite 0091(2), 0092(2) 76810 Enstatite 0047 31072 Epidote 0023, 0024 47306 Fluorite 0003(2), 0012(2) 98638 Galena 0053, 0054 17931 Garnet 0115 27331 Glaucophane 0016, 0017, 0076, 0077 200830 Goethite 0114 10717 Graphite 0083, 0084 20047 Grossular 0030, 0031 46592 Gypsum 0005(2), 0007, 0063 159829 Halite 0008, 0056 66201 Halloysite 0121, 0122 102028 Hematite 0039(2), 0085(2), 0095, 0096 165228 Hornblende 0046 9175 Hypersthene 0111 62932 Ilmenite 0116 16256 Kaolinite 0113 20764 Kyanite 0029 12320 Labradorite 0088(2), 0104(2) 62762 Limonite 0128, 0129 64550 Magnetite 0055, 0072 7103 Microcline 0071 60699 Montmorillonite 0123, 0124, 0125 87986 Muscovite 0034 62481 Nepheline 0097(2) 51930 Olivine 0065 7965 Omphacite 0019, 0067 108032 Opal 0102 34404 Orthoclase 0057 49824 Phlogopite 0045, 0070 105119 Pyrite 0042, 0048 31598 Pyrolusite 0117, 0118 45534 Pyrrhotite 0051 21572 Quartz 0009(2), 0035 126760 Rutile 0093 4959 Sanidine 0099(2) 49260 Serpentine 0018, 0068 78937 Siderite 0080 11651 Silicified wood 0127(2) 92935 Sillimanite 0032, 0033 70546 Sodalite 0043, 0060 61852 Sphalerite 0105 27485 Staurolite 0027, 0028, 0066 30628 Sulfur 0036, 0037 34751 Talc 0022, 0040, 0041, 0058, 0059 138317 Titanite 0094 4121 Tourmaline 0044, 0062 68419 Tremolite 0098(2), 0100 70913 Zircon 0110(2) 5110 </code></pre>
DOI: 10.5281/zenodo.1476502
title: A 2D hyperspectral library of mineral reflectance, from 900 to 2500nm - Masked high dynamic range data

description: Each <strong>zip</strong> file contains the text description file: <strong>description.txt</strong>. It also contains the data of one or two measurement, <strong>A</strong> and possibly B. The files are named as follows (<strong>####</strong> is the sample ID, <strong>@</strong> the letter of the measurement): <strong>####-@.ply</strong> and <strong>####-@.png</strong>: 3D reconstruction in Stanford PLY format, and associated texture file. <strong>@-im-000.jpg</strong>, <strong>@-im-010.jpg</strong>, ..., <strong>@-im-360.jpg</strong>: JPEG images of the sample, the angle is in degrees. 0 degree correspond to the position used during scanning. <strong>@.mhdr.h5</strong>: HDF5 file containing masked HDR raw scan data. Masked values are represented by nan. The zip files correspond to the sample IDs, according to the following table: <pre><code>Mineral Sample IDs Datapoints ---------------------------------------------------------------- Actinolite 0020, 0021, 0064 56840 Albite 0107 22521 Almandine 0025, 0026, 0073, 0074 17425 Andalusite 0014 18862 Anhydrite 0004 30832 Apatite 0089(2), 0090(2) 69062 Aragonite 0061 40111 Arsenopyrite 0087(2) 66333 Augite 0038 8503 Barite 0006 37130 Beryl 0075(2) 37743 Biotite 0049(2), 0050 45400 Blende 0086(2) 15596 Bronzite 0112 50452 Bytownite 0103 14666 Calcite 0010, 0011, 0052, 0078, 0079 112501 Cassiterite 0119, 0120 38535 Celestite 0000, 0001, 0002 56075 Chalcedony 0108(2), 0109(2) 96431 Chalcopyrite 0106 19375 Chlorite 0013 75802 Clinochlore 0126 45301 Coal 0081, 0082 44664 Copper 0101 14556 Diopside 0069 58959 Dolomite 0091(2), 0092(2) 76810 Enstatite 0047 31072 Epidote 0023, 0024 47306 Fluorite 0003(2), 0012(2) 98638 Galena 0053, 0054 17931 Garnet 0115 27331 Glaucophane 0016, 0017, 0076, 0077 200830 Goethite 0114 10717 Graphite 0083, 0084 20047 Grossular 0030, 0031 46592 Gypsum 0005(2), 0007, 0063 159829 Halite 0008, 0056 66201 Halloysite 0121, 0122 102028 Hematite 0039(2), 0085(2), 0095, 0096 165228 Hornblende 0046 9175 Hypersthene 0111 62932 Ilmenite 0116 16256 Kaolinite 0113 20764 Kyanite 0029 12320 Labradorite 0088(2), 0104(2) 62762 Limonite 0128, 0129 64550 Magnetite 0055, 0072 7103 Microcline 0071 60699 Montmorillonite 0123, 0124, 0125 87986 Muscovite 0034 62481 Nepheline 0097(2) 51930 Olivine 0065 7965 Omphacite 0019, 0067 108032 Opal 0102 34404 Orthoclase 0057 49824 Phlogopite 0045, 0070 105119 Pyrite 0042, 0048 31598 Pyrolusite 0117, 0118 45534 Pyrrhotite 0051 21572 Quartz 0009(2), 0035 126760 Rutile 0093 4959 Sanidine 0099(2) 49260 Serpentine 0018, 0068 78937 Siderite 0080 11651 Silicified wood 0127(2) 92935 Sillimanite 0032, 0033 70546 Sodalite 0043, 0060 61852 Sphalerite 0105 27485 Staurolite 0027, 0028, 0066 30628 Sulfur 0036, 0037 34751 Talc 0022, 0040, 0041, 0058, 0059 138317 Titanite 0094 4121 Tourmaline 0044, 0062 68419 Tremolite 0098(2), 0100 70913 Zircon 0110(2) 5110 </code></pre>
DOI: 10.5066/p97ct09y
title: Historical and projected production well pumping from January 1, 1900 through March 15, 2141, Middle Rio Grande Basin, Albuquerque and vicinity, New Mexico

description: This data release contains six historical and projected production well pumping scenarios from January 1, 1900 through March 15, 2141 for the Middle Rio Grande Basin, Albuquerque and vicinity, New Mexico. The production well pumping rates and source of these rates are included as tabular files. Tabular files are also included that define the time period over which these rates are applicable, and the location (layer, row, and column) of each well within the Middle Rio Grande Basin groundwater-flow model of McAda and Barroll (2002). This data release also includes tabular files summarizing historical metered production well pumping, and return-flow credit accounting used to estimate future pumping by the City of Rio Rancho.
DOI: 10.15139/s3/ltflj0
title: Replication Data for: Direct Democracy and Status Quo Bias

description: Is there an opposition bias in ballot initiative campaigns? While some early research suggested that the “no” side was advantaged in ballot initiative campaigns, recent work has demonstrated that both opposition and support spending in ballot measure campaigns are effective. We offer a new way to conceptualize status quo orientation in ballot measure elections. Specifically, we argue that opposition arguments are more effective than support arguments because of the well-known framing negativity bias and not because the starting position for uninformed voters is to default to no. We present the results of two survey experiments to test the impact of support and opposition arguments in ballot initiative campaigns. We find consistent evidence that opposition arguments are effective in generating more “no” votes and that support arguments are ineffective in generating more “yes” votes.
DOI: 10.5066/p92g0nd0
title: Sediment Deposition on Floodplains and Point Bars of Powder River in Southeastern Montana from 1979 through 2017

description: This data release consist of the annual sediment depositional volume at five floodplain and five point bar sites on Powder River in southeastern Montana from 1979 through 2017. These 10 sites are a subgroup of a larger group of cross-sections established in 1975 and 1977 to monitor the channel changes along a 90-kilometer reach of Powder River. In addition to the sediment deposition data, characteristic of the annual peak flood are listed. The data are in 1 Excel files containing worksheets (10) corresponding to each channel cross-section .
DOI: 10.7910/dvn/t2gwx4/farib2
title: user_info.txt

description: NetEase users' review lists
DOI: 10.18739/a2804xj6d
title: Sediment cores from Younger Dryas cold epoch, United States Coast Guard Cutter (USCGC) Healy cruise, Eastern Beaufort Sea, Arctic Ocean, 2013